Kalman Hull Kijun [BackQuant]Kalman Hull Kijun
A trend baseline that merges three ideas into one clean overlay, Kalman filtering for noise control, Hull-style responsiveness, and a Kijun-like Donchian midline for structure and bias.
Context and lineage
This indicator sits in the same family as two related scripts:
Kalman Price Filter
This is the foundational building block. It introduces the Kalman filter concept, a state-estimation algorithm designed to infer an underlying “true” signal from noisy measurements, originally used in aerospace guidance and later adopted across robotics, economics, and markets.
Kalman Hull Supertrend
This is the original script made, which people loved. So it inspired me to create this one.
Kalman Hull Kijun uses the same core philosophy as the Supertrend variant, but instead of building a Supertrend band system, it produces a single structural baseline that behaves like a Kijun-style reference line.
What this indicator is trying to solve
Most trend baselines sit on a bad trade-off curve:
If you smooth hard, the line reacts late and misses turns.
If you react fast, the line whipsaws and tracks noise.
Kalman Hull Kijun is designed to land closer to the middle:
Cleaner than typical fast moving averages in chop.
More responsive than slow averages in directional phases.
More “structure aware” than pure averages because the baseline is range-derived (Kijun-like) after filtering.
Core idea in plain language
The plotted line is a Kijun-like baseline, but it is not built from raw candles directly.
High level flow:
Start with a chosen price stream (source input).
Reduce measurement noise using Kalman-style state estimation.
Add Hull-style responsiveness so the filtered stream stays usable for trend work.
Build a Kijun-like baseline by taking a Donchian midpoint of that filtered stream over the base period.
So the output is a single baseline that is intended to be:
Less jittery than a simple fast MA.
Less laggy than a slow MA.
More “range anchored” than standard smoothing lines.
How to read it
1) Trend and bias (the primary use)
Price above the baseline, bullish bias.
Price below the baseline, bearish bias.
Clean flips across the baseline are regime changes, especially when followed by a hold or retest.
2) Retests and dynamic structure
Treat the baseline like dynamic S/R rather than a signal generator:
In uptrends, pullbacks that respect the baseline can act as continuation context.
In downtrends, reclaim failures around the baseline can act as continuation context.
Repeated back-and-forth around the line usually means compression or chop, not clean trend.
3) Extension vs compression (using the fill)
The fill is meant to communicate “distance” and “pressure” visually:
Large separation between price and baseline suggests expansion.
Price compressing into the baseline suggests rebalancing and decision points.
Inputs and what they change
Kijun Base Period
Controls the structural memory of the baseline.
Higher values track broader swings and reduce flips.
Lower values track tighter swings and react faster.
Kalman Price Source
Defines what data the filter is estimating.
Close is usually the cleanest default.
HL2 often “feels” smoother as an average price.
High/Low sources can become more reactive and less stable depending on the market.
Measurement Noise
Think of this as the main smoothness knob:
Higher values generally produce a calmer filtered stream.
Lower values generally produce a faster, more reactive stream.
Process Noise
Think of this as adaptability:
Higher values adapt faster to changing conditions but can get twitchy.
Lower values adapt slower but stay stable.
Plotting and UI (what you see on chart)
1) Adaptive line coloring
Baseline turns bullish color when price is above it.
Baseline turns bearish color when price is below it.
This makes the state readable without extra panels.
2) Gradient “energy” fill
Bull fill appears between price and baseline when above.
Bear fill appears between price and baseline when below.
The goal is clarity on separation and control, not decoration.
3) Rim effect
A subtle band around price that only appears on the active side.
Helps highlight directional control without hiding candles.
4) Candle painting (optional)
Candles can be colored to match the current bias.
Useful for scanning many charts quickly.
Disable if you prefer raw candles.
Alerts
Long state alert when price is above the baseline.
Short state alert when price is below the baseline.
Best used as a bias or regime notification, not a standalone entry trigger.
Where it fits in a workflow
This is a context layer, it pairs well with:
Market structure tools, BOS/MSB, OBs, FVGs.
Momentum triggers that need a regime filter.
Mean reversion tools that need “do not fade trends” context.
Limitations
No baseline eliminates chop whipsaws, tuning only manages the trade-off.
Settings should not be copy pasted across assets without checking behavior.
This does not forecast, it estimates and smooths state, then expresses it as a structural baseline.
Disclaimer
Educational and informational only, not financial advice.
Not a complete trading system.
If you use it in any trading workflow, do proper backtesting, forward testing, and risk management before any live execution.
ابحث في النصوص البرمجية عن "bear"
SVP + candle + Max volume [midst]
SVP + DALY CANDLE + MAX VOLUME
A comprehensive trading indicator that combines Session Volume Profile (SVP), Higher Timeframe (HTF) Candles, and Intrabar Max Volume Price Detection into one powerful tool. Perfect for traders who want to understand price action, volume distribution, and key levels all in one place.
KEY FEATURES
Session Volume Profile
• Real-time volume distribution across price levels for the current session
• Point of Control (POC) - identifies the price with the highest traded volume
• Value Area High (VAH) & Low (VAL) - shows where 70% of the volume occurred (customizable percentage)
• Color-coded volume bars - distinguish between up volume (bullish) and down volume (bearish)
• Value area highlighting - clearly see the most important price zones
Higher Timeframe Candle Display
• Visual daily (or custom timeframe) candle overlaid on your current chart
• OHLC labels - see Open, High, Low, and Close prices clearly marked
• Fully customizable colors - separate colors for bullish/bearish bodies, borders, and wicks
• Adjustable positioning - move the candle and labels to your preferred location
Max Volume Price Detection
• Identifies the exact price level with maximum volume within each bar
• Uses Lower Timeframe (LTF) data for precise volume analysis (Premium+ required)
• Simple mode fallback - works on all TradingView plans
• Previous max volume marker - displays previous bar's max volume as a reference dot
• Real-time calculation - updates as each bar forms
ATR Table
• Dynamic ATR-based stop levels - automatically calculates potential stop-loss levels
• Multiple smoothing methods - RMA, SMA, EMA, WMA
• Customizable multiplier - adjust for your risk tolerance
• Clean table display - shows ATR value, high stop, and low stop
PERFECT FOR
Day traders analyzing intrabar volume distribution
Swing traders wanting HTF context on lower timeframes
Volume profile traders looking for key support/resistance levels
Price action traders seeking high-probability entry zones
HOW TO USE
Volume Profile Analysis
POC often acts as a magnet for price. VAH/VAL are key support/resistance levels. High volume nodes indicate strong price acceptance, while low volume nodes suggest potential breakout zones.
HTF Candle Context
See daily range while trading on 5m-1h charts. Daily open often acts as pivot point. Daily high/low are key levels to watch.
Max Volume Price
Black line shows where most volume traded in each bar. Previous max volume (dot) helps identify institutional activity. Clusters of max volume create strong support/resistance. Can possibly indicate a Wick bounce
ATR Stops
Use ATR-based levels for logical stop placement. Adjust multiplier based on market volatility.
SETTINGS & CUSTOMIZATION
Positioning
Control the global offset to move both candle and profile together. Fine-tune with individual offsets for candle and profile spacing.
Volume Profile
Adjustable number of rows (50-500) for granular or simplified view. Customizable width and placement (left/right). Value Area percentage control. Full color customization for all volume components.
HTF Candle
Any timeframe selection (default: Daily). Full color customization for bull/bear candles. Adjustable candle width. Toggle OHLC labels on/off. Control label distance and line widths.
Max Volume Price
Choose between Simple (all plans) or LTF mode (Premium+). Auto or manual LTF resolution. Custom color and line width. Toggle current and previous markers independently.
TECHNICAL NOTES
Maximum 5000 bars lookback for volume calculations
Works on all timeframes
LTF max volume requires TradingView Premium or higher
Optimized for performance with efficient array operations
For best results, use on liquid instruments with reliable volume data
Most effective on intraday charts (5min-1hour) for day trading and scalping strategies
For Entertainment and information only
Created by midst
Risk Adjusted Geometric Exponent [VynthraQuant]RAGE Index (Risk-Adjusted Geometric Exponent)
Overview
The RAGE Index is a quantitative momentum oscillator that measures the efficiency and quality of an asset's price trend. Standing for Risk-Adjusted Geometric Exponent , this indicator goes beyond simple price action by evaluating the average logarithmic growth rate relative to the asset's volatility.
In institutional finance, it is not just about how much an asset moves, but how it moves. RAGE identifies trends that exhibit high compounding growth with minimal "noise" or volatility.
The Logic Behind RAGE
The indicator is built on two core quantitative pillars:
1. Geometric Exponent (GE): Instead of simple percentage changes, we calculate the geometric mean of log-returns. This represents the true compounding "velocity" of the price.
2. Volatility Normalization: We divide the GE by the standard deviation of returns (Volatility) over a specific lookback period.
How to Interpret the RAGE Index
* The Zero Line: The most critical level. When RAGE crosses above 0, the asset has entered a state of positive geometric growth. Below 0, the asset is in a state of efficient decay.
* Trend Quality: A rising RAGE value indicates that the trend is becoming more "efficient", growth is increasing while volatility is staying low or decreasing.
* Color-Coded Candles: The script features a `force_overlay` function that colors the candles on your main chart.
* Bullish Color: Efficient growth detected (Long bias).
* Bearish Color: Efficient decay detected (Short bias).
Key Features
* Logarithmic Accuracy: Uses log-returns to ensure time-additivity and eliminate the bias found in standard percentage calculations.
* Adaptive to Volatility: Unlike a standard RSI or MACD, RAGE penalizes "choppy" price action, helping you stay out of sideways markets.
* Optimized Performance: Written in Pine Script v6 with high-efficiency math to ensure fast loading even on lower timeframes.
Settings
* GE Lookback: The window used to calculate the average growth rate.
* Volatility Lookback: The window used to measure the "risk" or noise of the price action.
General Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. The creator bears no responsibility for any financial decisions or losses resulting from its use. Past performance is not indicative of future results.
Islamic Disclaimer
All trading activity should be approached with awareness of halal and haram principles. Ensure your investments, instruments, and methods align with Islamic ethical standards. This tool does not promote speculative or impermissible practices.
Geometric Exponent [VynthraQuant]Overview
The Geometric Exponent is a specialized momentum and trend-strength indicator designed to quantify the average logarithmic growth rate of an asset over a specific lookback period. Unlike standard moving averages, this indicator focuses on the geometric mean of returns, providing a more accurate representation of compounded growth or decay.
By smoothing out the noise of daily price fluctuations through log-returns, the Geometric Exponent helps traders identify the underlying "velocity" of a trend.
How it Works
The indicator calculates the log-return for each bar within the user-defined GE Lookback period. It then computes the arithmetic mean of these log-returns, which mathematically represents the exponent of the geometric growth over that window.
Positive Values: Indicate a period of geometric growth (upward trend).
Negative Values: Indicate a period of geometric decay (downward trend).
Zero Line: Acts as the equilibrium point where there is no net growth.
Key Features
Log-Return Basis: Better suited for financial time series analysis than simple percentage changes, as log-returns are time-additive.
Customizable Lookback: Adjust the GE Lookback to fit your trading style, from fast-reacting scalping to long-term trend following.
Clean Visuals: An oscillator-style plot that makes it easy to spot momentum shifts and divergences.
How to Use
Trend Confirmation: Look for the Geometric Exponent to stay consistently above zero for long-term bullish trends and below zero for bearish trends.
Mean Reversion: Extreme peaks or valleys in the exponent may suggest that the current growth rate is unsustainable, potentially signaling an upcoming retracement.
Divergence: If price makes a new high but the Geometric Exponent makes a lower high, it suggests the "compounding power" of the trend is weakening.
General Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. The creator bears no responsibility for any financial decisions or losses resulting from its use. Past performance is not indicative of future results.
Islamic Disclaimer
All trading activity should be approached with awareness of halal and haram principles. Ensure your investments, instruments, and methods align with Islamic ethical standards. This tool does not promote speculative or impermissible practices.
CCI Standard DeviationCCI Standard Deviation – Asymmetric Volatility-Adjusted Trend Filter (CCI SD)
The Commodity Channel Index (CCI), created by Donald Lambert in 1980, measures how far the typical price deviates from its statistical average to identify cyclical momentum and trend strength.
The standard formula is:
CCI = (Typical Price − SMA(Typical Price, n)) / (0.015 × Mean Deviation)
where Typical Price = (High + Low + Close)/3.
CCI is unbounded and centered around zero: sustained readings above zero indicate bullish momentum, below zero bearish. Classic interpretations often use zero-line crosses or fixed levels (±100, ±200, ±250), but these can be unreliable when CCI volatility changes across market regimes.
This indicator was developed to create a more disciplined trend-following tool that aligns with my core risk principle: “always protect to the downside.”
Starting from the standard CCI zero-line concept for trend direction, I experimented with standard deviation bands to make the oscillator volatility-adjusted. I then applied deliberate asymmetry: requiring the lower 1σ envelope (CCI − stdev) to cross above a positive threshold for bullish confirmation (high-probability entry only in robust trends), while exiting immediately on any raw CCI weakness below a negative threshold (quick downside protection). User inputs for both thresholds were added to allow fine-tuning and adaptability across different assets and timeframes.
An optional DEMA-smoothed version of the lower envelope provides additional clarity when desired.
Extreme zones
raw CCI ±240 and lower envelope > 200 or < –200 - are highlighted with background shading to flag rare acceleration or capitulation phases.
How it works
Standard CCI calculated on typical price (default length 38).
Rolling standard deviation of the CCI itself (default length 13) measures the oscillator’s recent volatility.
Lower envelope = CCI − stdev (dn).
Optional DEMA smoothing (default length 12) can be toggled.
Trend logic:
Bullish regime only when lower envelope
→ Long Threshold (default +10)
→ statistical proof of strength
Bearish/neutral immediately when raw CCI
→ Short Threshold (default –25)
→ fast downside protection
Origin and development
The indicator emerged from wanting a cleaner, more reliable CCI for trend direction. After testing volatility-adjusted versions, the asymmetric design proved superior:
it enters only high-conviction uptrends and exits rapidly on weakness, significantly reducing whipsaws while preserving trend capture.
Parameters were optimized through extensive backtests on major assets (BTC, ETH, SOL and many more Cryptos; Magnificent 7 stocks, QQQ, SPX, gold).
The defaults were selected for the best average Sortino ratio and lowest maximum drawdown across this broad universe, ensuring robustness and avoiding single-asset overfitting.
How to use it
Green triangle below bar
→ lower envelope crosses above Long Threshold
→ high-conviction bullish trend confirmed
→ enter or add to longs
Magenta triangle above bar
→ CCI crosses below Short Threshold
→ exit longs or go cash/short
While lower envelope remains above Long Threshold
→ hold bullish positions
Extreme background shading (dn >200 or CCI ±240)
→ rare high-attention zones (potential acceleration or exhaustion)
Recommended defaults
CCI length: 38
SD length: 13
Long threshold: +10
Short threshold: –25
Optional MA length: 12 (DEMA of lower envelope)
All visual elements (bar coloring, signals, background, smoothed line) are toggleable for personal preference.
This indicator is designed as a trend-strength and risk-management filter and is not intended as a standalone trading system.
Disclaimer:
This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs).
At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs.
Key Features:
The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend.
Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing.
Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate.
How to Trade with Witch-Fire:
Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish.
Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines.
Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line.
Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
Order Flow: Structural Sniper [Profile + Signals]Overview
This script is a comprehensive tool designed to bridge the gap between Market Structure and Order Flow analysis. It aims to eliminate the subjectivity of static support and resistance lines by focusing on dynamic liquidity and the behavior of aggressive versus passive market participants.
Unlike traditional indicators that plot static data, the Structural Delta Map dynamically anchors its analysis to the start of the current trend (Pivots), providing a clear "X-Ray" view of how volume was distributed during the current price swing.
How it Works
The indicator combines three distinct technical concepts into a single system:
1. Market Structure (Pivots):
It uses a pivot detection algorithm to identify significant Swing Highs and Swing Lows. This determines the market bias and anchors the analysis to the origin of the movement.
2. Anchored VWAP (Fair Price):
It automatically calculates the Volume Weighted Average Price (VWAP) starting from the last confirmed pivot. This yellow line acts as the "spine" of the trend, serving as dynamic institutional support/resistance.
3. Delta Profile & Heatmap:
A Volume Profile is plotted on the left side, anchored to the pivot.
Split Delta: Instead of a single color, bars are split into Green (Buying Volume) and Red (Selling Volume) based on price action estimation.
Heatmap Logic: The opacity of the bars adjusts automatically. Bright/Solid bars represent High Volume Nodes (HVN), while transparent bars represent Low Volume Nodes (LVN) or liquidity voids.
How to Use (Strategy)
The indicator provides both visual context and specific entry signals:
1. Visual Context:
Profile: Look for reactions at bright, wide bars (High Volume Nodes). These act as magnets or barriers.
Yellow Line (VWAP): In an uptrend, look for buy opportunities when price retraces to this line. In a downtrend, look for shorts on the retest.
2. Aggression Signals (Triangle "AGR"):
Type: Trend Continuation / Pullback.
Logic: Triggers when price retraces to the structural value zone (near VWAP), rejects it with higher-than-average volume, and closes in the direction of the trend.
3. Absorption Signals (Cross "ABS"):
Type: Reversal / Trap.
Logic:
Bullish Absorption: Price makes a new local low with high volume (selling pressure), but the candle closes bullish (leaving a long bottom wick). Passive buyers absorbed the aggression.
Bearish Absorption: Price makes a new local high with high volume, but closes bearish. Passive sellers absorbed the buying pressure.
Settings
Pivot Sensitivity: Adjusts how the script detects trend changes.
Profile Resolution: Controls the number of rows in the histogram.
Signal Filters: Enable/Disable signals and adjust the Volume Multiplier threshold.
Technical Disclaimer
This indicator estimates "Delta" (Buy vs. Sell volume) based on OHLC price action and bar volume, as Pine Script does not grant access to historical tick-by-tick data. While this approximation is highly effective for identifying aggression and absorption, it differs slightly from Level 2 footprint data found on platforms like Sierra Chart. Accuracy depends on the volume data provided by your exchange.
ES Multi-Timeframe SMC Entry SystemOverviewThis is a comprehensive Smart Money Concepts (SMC) trading strategy for ES1! (E-mini S&P 500) futures that provides simultaneous buy and sell signals across three timeframes: Daily, Weekly, and Monthly. It incorporates your complete entry checklists, confluence scoring system, and automated risk management.Core Features1. Multi-Timeframe Signal Generation
Daily Signals (D) - For intraday/swing trades (1-3 day holds)
Weekly Signals (W) - For swing trades (3-10 day holds)
Monthly Signals (M) - For position trades (weeks to months)
All three timeframes can trigger simultaneously (pyramiding enabled)
2. Smart Money Concepts ImplementationOrder Blocks (OB)
Automatically detects bullish and bearish order blocks
Bullish OB = Down candle before strong impulse up
Bearish OB = Up candle before strong impulse down
Validates freshness (< 10 bars = higher quality)
Visual boxes displayed on chart
Fair Value Gaps (FVG)
Identifies 3-candle imbalance patterns
Bullish FVG = Gap between high and current low
Bearish FVG = Gap between low and current high
Tracks unfilled gaps as targets/entry zones
Auto-removes when filled
Premium/Discount Zones
Calculates 50-period swing range
Premium = Upper 50% (short from here)
Discount = Lower 50% (long from here)
Deep zones (<30% or >70%) for higher quality setups
Visual shading: Red = Premium, Green = Discount
Liquidity Sweeps
Sell-Side Sweep (SSL) = False break below lows → reversal up
Buy-Side Sweep (BSL) = False break above highs → reversal down
Marked with yellow labels on chart
Valid for 10 bars after occurrence
Break of Structure (BOS)
Identifies when price breaks recent swing high/low
Confirms trend continuation
Marked with small circles on chart
3. Confluence Scoring SystemEach timeframe has a 10-point scoring system based on your checklist requirements:Daily Score (10 points max)
HTF Trend Alignment (2 pts) - 4H and Daily EMAs aligned
SMC Structure (2 pts) - OB in correct zone with HTF bias
Liquidity Sweep (1 pt) - Recent SSL/BSL occurred
Volume Confirmation (1 pt) - Volume > 1.2x 20-period average
Optimal Time (1 pt) - 9:30-12 PM or 2-4 PM ET (avoids lunch)
Risk-Reward >2:1 (1 pt) - Built into exit strategy
Clean Price Action (1 pt) - BOS occurred
FVG Present (1 pt) - Near unfilled fair value gap
Minimum Required: 6/10 (adjustable)Weekly Score (10 points max)
Weekly/Monthly Alignment (2 pts) - W and M EMAs aligned
Daily/Weekly Alignment (2 pts) - D and W trends match
Premium/Discount Correct (2 pts) - Deep zone + trend alignment
Major Liquidity Event (1 pt) - SSL/BSL sweep
Order Block Present (1 pt) - Valid OB detected
Risk-Reward >3:1 (1 pt) - Built into exit
Fresh Order Block (1 pt) - OB < 10 bars old
Minimum Required: 7/10 (adjustable)Monthly Score (10 points max)
Monthly/Weekly Alignment (2 pts) - M and W trends match
Weekly OB in Monthly Zone (2 pts) - OB in deep discount/premium
Major Liquidity Sweep (2 pts) - Significant SSL/BSL
Strong Trend Alignment (2 pts) - D, W, M all aligned
Risk-Reward >4:1 (1 pt) - Built into exit
Extreme Zone (1 pt) - Price <20% or >80% of range
Minimum Required: 8/10 (adjustable)4. Entry ConditionsDaily Long Entry
✅ Daily score ≥ 6/10
✅ 4H trend bullish (price > EMAs)
✅ Price in discount zone
✅ Bullish OB OR SSL sweep OR near bullish FVG
✅ NOT during avoid times (lunch/first 5 min)Daily Short Entry
✅ Daily score ≥ 6/10
✅ 4H trend bearish
✅ Price in premium zone
✅ Bearish OB OR BSL sweep OR near bearish FVG
✅ NOT during avoid timesWeekly Long Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bullish
✅ Daily trend bullish
✅ Price in discount
✅ Bullish OB OR SSL sweepWeekly Short Entry
✅ Weekly score ≥ 7/10
✅ Weekly trend bearish
✅ Daily trend bearish
✅ Price in premium
✅ Bearish OB OR BSL sweepMonthly Long Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bullish
✅ Weekly trend bullish
✅ Price in DEEP discount (<30%)
✅ Bullish order block presentMonthly Short Entry
✅ Monthly score ≥ 8/10
✅ Monthly trend bearish
✅ Weekly trend bearish
✅ Price in DEEP premium (>70%)
✅ Bearish order block present5. Automated Risk ManagementPosition Sizing (Per Entry)
Daily: 1.0% account risk per trade
Weekly: 0.75% account risk per trade
Monthly: 0.5% account risk per trade
Formula:
Contracts = (Account Equity × Risk%) ÷ (Stop Points × $50)
Minimum = 1 contractStop Losses
Daily: 12 points ($600 per contract)
Weekly: 40 points ($2,000 per contract)
Monthly: 100 points ($5,000 per contract)
Profit Targets (Risk:Reward)
Daily: 2:1 = 24 points ($1,200 profit)
Weekly: 3:1 = 120 points ($6,000 profit)
Monthly: 4:1 = 400 points ($20,000 profit)
Example with $50,000 AccountDaily Trade:
Risk = $500 (1% of $50k)
Stop = 12 points × $50 = $600
Contracts = $500 ÷ $600 = 0.83 → 1 contract
Target = 24 points = $1,200 profit
Weekly Trade:
Risk = $375 (0.75% of $50k)
Stop = 40 points × $50 = $2,000
Contracts = $375 ÷ $2,000 = 0.18 → 1 contract
Target = 120 points = $6,000 profit
Monthly Trade:
Risk = $250 (0.5% of $50k)
Stop = 100 points × $50 = $5,000
Contracts = $250 ÷ $5,000 = 0.05 → 1 contract
Target = 400 points = $20,000 profit
6. Visual Elements on ChartKey Levels
Previous Daily High/Low - Red/Green solid lines
Previous Weekly High/Low - Red/Green circles
Previous Monthly High/Low - Red/Green crosses
Equilibrium Line - White dotted line (50% of range)
Zones
Premium Zone - Light red shading (upper 50%)
Discount Zone - Light green shading (lower 50%)
SMC Markings
Bullish Order Blocks - Green boxes with "Bull OB" label
Bearish Order Blocks - Red boxes with "Bear OB" label
Bullish FVGs - Green boxes with "FVG↑"
Bearish FVGs - Red boxes with "FVG↓"
Liquidity Sweeps - Yellow "SSL" (down) or "BSL" (up) labels
Break of Structure - Small lime/red circles
Entry Signals
Daily Long - Small lime triangle ▲ with "D" below price
Daily Short - Small red triangle ▼ with "D" above price
Weekly Long - Medium green triangle ▲ with "W" below price
Weekly Short - Medium maroon triangle ▼ with "W" above price
Monthly Long - Large aqua triangle ▲ with "M" below price
Monthly Short - Large fuchsia triangle ▼ with "M" above price
7. Information TablesConfluence Score Table (Top Right)
┌──────────┬────────┬────────┬────────┐
│ TF │ SCORE │ STATUS │ SIGNAL │
├──────────┼────────┼────────┼────────┤
│ 📊 DAILY │ 7/10 │ ✓ PASS │ 🔼 │
│ 📈 WEEKLY│ 6/10 │ ✗ WAIT │ ━ │
│ 🌙 MONTH │ 9/10 │ ✓ PASS │ 🔽 │
├──────────┴────────┴────────┴────────┤
│ P&L: $2,450 │
└─────────────────────────────────────┘
Green scores = Pass (meets minimum threshold)
Orange/Red scores = Fail (wait for better setup)
🔼 = Long signal active
🔽 = Short signal active
━ = No signal
Entry Checklist Table (Bottom Right)
┌──────────────┬───┐
│ CHECKLIST │ ✓ │
├──────────────┼───┤
│ ━ DAILY ━ │ │
│ HTF Trend │ ✓ │
│ Zone │ ✓ │
│ OB │ ✗ │
│ Liq Sweep │ ✓ │
│ Volume │ ✓ │
│ ━ WEEKLY ━ │ │
│ W/M Align │ ✓ │
│ Deep Zone │ ✗ │
│ ━ MONTHLY ━ │ │
│ M/W/D Align │ ✓ │
│ Zone: Discount│ │
└──────────────┴───┘
Green ✓ = Condition met
Red ✗ = Condition not met
Real-time updates as market conditions change
8. Alert SystemIndividual Alerts:
"Daily Long" - Triggers when daily long setup appears
"Daily Short" - Triggers when daily short setup appears
"Weekly Long" - Triggers when weekly long setup appears
"Weekly Short" - Triggers when weekly short setup appears
"Monthly Long" - Triggers when monthly long setup appears
"Monthly Short" - Triggers when monthly short setup appears
Combined Alerts:
"Any Long Signal" - Catches any bullish opportunity (D/W/M)
"Any Short Signal" - Catches any bearish opportunity (D/W/M)
Alert Messages Include:
🔼/🔽 Direction indicator
Timeframe (DAILY/WEEKLY/MONTHLY)
Current confluence score
Gann Octave 8 Ver.2.0Gann Octave 8 Ver.2.0 - Complete Trading Guide
Overview
This indicator combines W.D. Gann's time-tested principles of market geometry with modern technical analysis. It identifies key market structures and projects precise support/resistance levels along with angular momentum lines to help traders identify high-probability trading opportunities.
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Core Concepts
1. Gann's Octave Division (The Rule of 8)
W.D. Gann discovered that markets move in harmonic divisions based on the number 8. This indicator divides any swing movement into 8 equal parts (octaves):
• 0% - Swing extreme (High for bearish, Low for bullish)
• 12.5% - First octave
• 25% - Quarter level
• 37.5% - Three-eighths level
• 50% - Midpoint (most critical level)
• 62.5% - Five-eighths level
• 75% - Three-quarter level
• 87.5% - Seventh octave
• 100% - Swing extreme (opposite end)
Why 8? Gann believed natural market cycles follow mathematical harmonics. The octave division provides precise entry and exit points that frequently act as support/resistance zones.
2. Gann Angles (Price-Time Relationship)
Gann angles represent the relationship between price movement and time. Each angle shows different momentum levels:
• 1x1 (Black) - 45° angle, perfect balance between price and time. Most important Gann angle. Represents the natural trend line.
• 2x1 (Red) - Steeper angle, 2 units of price per 1 unit of time. Shows strong momentum.
• 1x2 (Red) - Flatter angle, 1 unit of price per 2 units of time. Shows weak momentum.
• 4x1 & 1x4 (Blue) - Even more extreme angles indicating very strong or very weak trends.
• 8x1 & 1x8 (Orange) - Most extreme angles, parabolic moves or complete consolidation.
Key Principle: When price is above the 1x1 angle = bullish. Below 1x1 = bearish. When price crosses from one angle to another, it signals a change in momentum.
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How the Indicator Works
Structure Detection
The indicator automatically identifies market swings using pivot points:
1. Bullish Structure (Green): Detected when price makes a higher high
o Octave levels calculated from swing low (0%) to swing high (100%)
o Gann angles project upward from the swing low
2. Bearish Structure (Red): Detected when price makes a lower low
o Octave levels calculated from swing high (0%) to swing low (100%)
o Gann angles project downward from the swing high
Dynamic Updates
• Swing Tracker ON: Levels update continuously as the swing evolves
• Swing Tracker OFF: Levels lock at the initial swing detection (cleaner charts)
Historical Structures
The indicator maintains previous swing structures based on "Number of Swings to Show":
• Set to 1: Only current structure (cleanest)
• Set to 2-3: Current + recent history (recommended for context)
• Set to 4+: Multiple historical structures (may overlap but shows pattern)
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Trading Strategy
Entry Signals
BUY SIGNALS (Green Triangle Up ▲)
Signal 1: Bounce from Support Levels
• Price drops to 0%, 50%, or 100% level and reverses
• Best when combined with bullish candlestick pattern (hammer, engulfing)
• Entry: On signal confirmation
• Stop Loss: Below the support level (0.5-1% below)
• Target: Next octave level up (12.5%, 25%, 50%)
Signal 2: Breakout Above Resistance
• Price breaks above 50% or 100% level with momentum
• Confirms trend continuation or reversal
• Entry: On close above the level
• Stop Loss: Below the breakout level
• Target: Previous swing high or next major level
Signal 3: Gann Angle Support
• Price bounces off 1x1 angle (black line)
• Indicates trend is intact
• Entry: When price respects the angle
• Stop Loss: Below the 1x1 angle
• Target: Next resistance level
SELL SIGNALS (Red Triangle Down ▼)
Signal 1: Rejection from Resistance Levels
• Price rallies to 0%, 50%, or 100% level and reverses
• Best when combined with bearish candlestick pattern (shooting star, bearish engulfing)
• Entry: On signal confirmation
• Stop Loss: Above the resistance level (0.5-1% above)
• Target: Next octave level down (87.5%, 75%, 50%)
Signal 2: Breakdown Below Support
• Price breaks below 50% or 0% level with momentum
• Confirms trend continuation or reversal
• Entry: On close below the level
• Stop Loss: Above the breakdown level
• Target: Previous swing low or next major level
Signal 3: Gann Angle Resistance
• Price fails at 1x1 angle (black line)
• Indicates trend weakness
• Entry: When price rejects the angle
• Stop Loss: Above the 1x1 angle
• Target: Next support level
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Advanced Trading Techniques
1. The 50% Rule (Most Powerful)
The 50% octave level is the most critical in Gann theory:
• In Uptrend: Price should not break below 50% retracement. If it holds = trend intact, go long.
• In Downtrend: Price should not break above 50% retracement. If it holds = trend intact, go short.
• Reversal: Breaking and closing beyond 50% often signals trend reversal.
2. Gann Angle Confluence
When multiple Gann angles converge with octave levels = HIGH probability zone:
• Look for price to bounce or reverse at these zones
• Example: 1x2 angle meets 50% level = strong support/resistance
• These zones often become pivot points
3. Multiple Timeframe Analysis
• Use higher timeframe (daily) for major structure
• Use lower timeframe (5min, 15min) for precise entries
• Take trades when both timeframes align
4. Swing Failure Pattern
• Price breaks a key level (e.g., 50%) but quickly reverses back
• This "false breakout" often leads to strong move in opposite direction
• Wait for signal in the reversal direction
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Settings Optimization
For Day Trading (Scalping)
• Structure Period: 0-2 (22 bars or less)
• Number of Swings: 1 (only current structure)
• Signal Sensitivity: High
• Swing Tracker: OFF (cleaner)
For Swing Trading
• Structure Period: 4-5 (44-88 bars)
• Number of Swings: 2-3
• Signal Sensitivity: Medium
• Swing Tracker: ON or OFF (preference)
For Position Trading
• Structure Period: 6-8 (176+ bars)
• Number of Swings: 3-5
• Signal Sensitivity: Low
• Swing Tracker: ON
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Common Patterns to Watch
Bullish Reversal Setup
1. Price in bearish structure (red levels)
2. Price drops to 100% level (swing low)
3. Buy signal appears (green triangle)
4. Price breaks back above 50% level
5. Action: Go long with stop below 100%
Bearish Reversal Setup
1. Price in bullish structure (green levels)
2. Price rises to 100% level (swing high)
3. Sell signal appears (red triangle)
4. Price breaks back below 50% level
5. Action: Go short with stop above 100%
Trend Continuation
1. Price respects 1x1 Gann angle
2. Small pullback to 25% or 37.5% level
3. Buy/sell signal appears
4. Action: Enter in trend direction
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Signal Sensitivity Guide
• Low: Conservative, only major breakouts (3-5 signals per day)
• Medium: Balanced, includes approaches (5-10 signals per day)
• High: Aggressive, includes bounces (10-20 signals per day)
Choose based on your trading style and risk tolerance
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Final Words
This indicator is a powerful tool, but remember:
"The market is never wrong. Opinions are." - W.D. Gann
• No indicator is 100% accurate
• Always combine with price action and volume
• Backtest on your instrument and timeframe
• Keep learning and adapting your strategy
• Discipline and risk management are more important than the perfect setup
Happy Trading! 📈
Apex Trend & Liquidity Master V2.1The Apex Trend & Liquidity Master is a hybrid trading system designed to align traders with the dominant market trend while identifying key structural price levels. Unlike simple moving average crossovers or standalone support/resistance tools, this script integrates a volatility-adaptive "Trend Cloud" with a "Smart Liquidity" engine.
This integration allows the script to offer unique filtering capabilities, such as hiding counter-trend liquidity zones to reduce chart noise and focus on high-probability continuations.
How It Works
Adaptive Trend Cloud The backbone of the system is the Trend Cloud, calculated using a Hull Moving Average (HMA) base with ATR bands. The cloud expands and contracts based on market volatility.
Green Cloud: Bullish Regime. The market is trending up; look for long opportunities.
Red Cloud: Bearish Regime. The market is trending down; look for short opportunities.
Smart Liquidity Zones (with Integration) The script automatically detects Pivot Highs and Lows to draw Supply (Resistance) and Demand (Support) zones. These zones persist until price breaks through them (mitigation).
Integration Feature: A "Filter Zones by Trend" option is included in the settings. When enabled, this feature connects the Trend Cloud to the Liquidity Engine:
It will only display Demand zones when the Trend Cloud is Bullish.
It will only display Supply zones when the Trend Cloud is Bearish.
Note on Lag: Zones are based on pivots (default lookback: 10). A zone appears on the chart 10 bars after the pivot forms. These are historical structural levels.
Signal Filters Buy and Sell labels are generated when the Trend Cloud changes color, but they are filtered to ensure quality:
Volume Filter: Signals only appear if the current volume is higher than the 20-period average.
RSI Filter: Prevents buying when RSI is overbought (>70) or selling when oversold (<30).
Live HUD An on-chart dashboard provides real-time data on:
Trend Bias: Direction of the cloud.
Momentum: RSI strength (Weak/Neutral/Strong).
Volume: High vs. Low activity.
Usage Guide
Identify the Trend: Use the background fill color to determine if you should be looking for longs (Green) or shorts (Red).
Wait for Structure: Look for price to pull back into a "Smart Liquidity" zone. For example, in a Green Trend, wait for price to touch a Green Demand box.
Confirm with Momentum: Check the Dashboard. Ideally, you want to see "Strong" momentum aligning with your trade direction.
Settings: If the chart is too cluttered, enable "Filter Zones by Trend" in the settings menu to hide counter-trend boxes.
Credits & Attribution This script combines original integration logic with adapted open-source concepts:
Smart Liquidity Logic: The method for generating Supply/Demand boxes via Pivot Highs/Lows and array management is adapted from open-source logic commonly used in Smart Money Concepts (SMC) indicators, notably popularized by LuxAlgo and the broader Pine community.
Trend Logic: The volatility cloud utilizes standard Hull Moving Average (HMA) and ATR formulas.
Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance of pivot levels or trend signals does not guarantee future results.
TuxAlgo Plus a SMC and Trap Toolkit V0.98r1 by McTogaThe “TuxAlgo Plus” script is a powerful, standalone, conceptual open-source project and self-sufficient “smart money toolkit” with automatic trap detection (SMT), liquidity grabs, FVG confluence, and complete bot setup signals for TV charts in the “H1 to H6” time frame and daily charts.
The script is used to improve SMC/trap analyses, i.e., the structure and visualization logic for TradingView charts have been expanded in the “TuxAlgo++” project in line with Smart Money Concepts (SMC) and Smart Money Traps (SMT).
The SMT block (“Smart Money Traps”) supplements classic smart money concepts with:
1. Detection of bull traps (short setups) and bear traps (long setups)
2. Display of trap boxes in the chart (liquidity grab areas)
3. A bot setup box (table) with ready-made entry/SL/TP levels:
as well as age in bars & days and “Valid until ~X d” (remaining term)
SMT / bot setup only run on the following timeframes:
- H1, H2, H3, H4, H6 This means that traps, labels, and the bot setup box are only displayed on these timeframes
Trap definition “Bull Trap (Short Setup)”:
- Valid swing high
- Swing trend bullish
- High (Wick) pierces above the swing high (Liquidity Grab)
- Close falls back below the swing high (false breakout)
-> Result: Short setup (bull trap), marked in orange
Trap definition “Bear Trap (long setup)”:
- Valid swing low
- Swing trend bearish
- Low (wick) pierces below the swing low (liquidity grab)
- Close rises above the swing low again (false breakout)
-> Result: Long setup (bear trap), marked in blue
Entry / SL / TP calculation
A price range is taken for each trap:
Bull trap (short):
- Range =
- Entry = point within this range:
Entry = hiBT - (hiBT - loBT) * TrapEntryRatio (0..1)
-> 0.0 = at the Wick extreme, 0.5 = middle, 1.0 = at the Swing level
- SL = Wick extreme (upper edge of the trap)
- Risk = |Entry - SL|
- TP1 = Entry - R1 * Risk
- TP2 = Entry - R2 * Risk
Bear Trap (Long):
- Range =
- Entry analogous within the range according to TrapEntryRatio
- SL = wick bottom (lower edge of the trap)
- Risk = |Entry - SL|
- TP1 = Entry + R1 * Risk
- TP2 = Entry + R2 * Risk
R1 / R2 correspond to the inputs:
- botRR1Input = TP1 Risk/Reward (e.g., 1.5R)
- botRR2Input = TP2 Risk/Reward (e.g., 3.0R)
Age & Validity
Each trap stores:
- lastTrapBarIndex -> last bar of the trap
- Age in bars -> bar_index - lastTrapBarIndex
- Age in days (~d) -> AgeBars * BarDurationInDays (depending on TF)
Input: trapMaxAgeBars determines how long a trap is valid.
The bot setup box is only displayed if:
- a trap is present,
- AgeBars <= trapMaxAgeBars,
- SMT + Box + SMC timeframe are active.
Color logic (color blind friendly):
- Blue (accentBlue) = fresh traps (Age <= 1/3 MaxAge)
- Orange (accentOrange) = medium age
- Violet (accentPurple) = old, but still within MaxAge
- Gray (accentGray) = expired (> MaxAge)
The box also shows “Valid until ~X d” as the remaining term.
Day/Night Mode & Colors
- chart.bg_color is used to detect dark or light mode.
- Text/background colors adjust (light/dark).
- Accent colors (blue/orange/purple/gray) are suitable for red/green color blindness.
- Trap labels in the chart:
- Bull trap label = orange (short setup)
- Bear trap label = blue (long setup)
- Text color depends on chart mode (dark/light)
Typical workflow (example):
1. Select a suitable symbol & SMC timeframe (e.g., H4 or H6).
2. Wait for a bull trap (short) or bear trap (long).
3. Read in the bot setup box:
- Direction (long/short)
- Entry, SL, TP1, TP2
- Age & “Valid until ~X d”
4. These values can be used as a template for manual trading or external bot/order systems.
5. Position size & leverage must always be calculated separately in your own risk management
(e.g., 2% rule). This script does not calculate position sizes.
ICT Unicorn Model [Kodexius]ICT Unicorn Model is a market structure and imbalance confluence tool that automatically detects high probability “Unicorn” setups by combining three key elements into a single, clean script:
-A first, clean break of that swing level (displacement style break)
-A Fair Value Gap that overlaps a breaker candle body range
Instead of plotting every pivot or every imbalance independently, the script waits for a specific sequence: price establishes a valid swing, breaks that swing for the first time, and prints a setup only when the resulting context aligns with a valid, volatility filtered FVG and a clearly defined breaker range.
Each detected setup is drawn directly on the chart with labeled zones (Breaker and FVG) and is then actively monitored. If price violates the breaker boundary based on your chosen invalidation basis (Close or Wick), the setup is marked inactive and can optionally be removed to keep the chart clean.
This indicator is designed for traders who work with ICT style concepts such as liquidity runs, displacement, breaker blocks, and imbalance reversion, and who want a structured, rules based visualization rather than discretionary drawing.
🔹 Features
🔸 Fair Value Gap Detection With Volatility Filtering
Bullish and bearish FVGs are detected using classic three candle imbalance logic. To avoid low quality gaps during compression, the script applies an ATR based minimum size filter using the “FVG Min Size (ATR Multiplier)” input. Only gaps larger than ATR * threshold are considered valid.
🔸 First Break Validation (Clean Break Logic)
A key part of the model is identifying a “first break” of a swing level. The script checks whether the swing price has already been invalidated between the swing bar and the current bar. If it has, the swing is ignored. This helps reduce repeated signals and focuses on fresh structural breaks.
🔸 Breaker and FVG Confluence With Overlap Requirement
After a valid break occurs, the script defines a breaker range using the body of the swing candle (open and close). A setup is only created if this breaker body range overlaps the detected FVG price range. This overlap requirement is what filters many “almost” conditions and keeps signals more selective.
Bullish Unicorn:
Bearish Unicorn:
🔸 Configurable Invalidation Basis (Close or Wick)
You can choose how a setup fails:
-Close: invalidation requires a candle close beyond the breaker boundary
-Wick: invalidation occurs as soon as any wick crosses beyond the breaker boundary
This allows the tool to adapt to different trading styles, from conservative confirmation to more sensitive risk control.
🔸 Automatic Cleanup of Failed Setups
If “Delete Invalidated Setups” is enabled, the script removes the breaker box, FVG box, and label as soon as the setup is invalidated. If disabled, the zones remain visible for review while the setup is marked inactive internally.
🔸 Clear Chart Visuals
Each setup plots:
-A labeled Breaker zone box
-A labeled FVG zone box
-A directional Unicorn label (Bull or Bear) that updates position as the chart advances
Colors for bullish and bearish structures are fully configurable.
🔸 Alert Conditions
Two alert conditions are provided:
-Bullish Unicorn Setup Detected
-Bearish Unicorn Setup Detected
Alerts trigger only on the bar a new setup is created.
🔹 Calculations
This section summarizes the main computations used internally. The goal here is to explain the model mechanics rather than reproduce every implementation detail.
1. Swing Detection (Pivot High / Pivot Low)
Swing levels are detected using a symmetric pivot definition with “Swing Length” bars on both sides:
float ph = ta.pivothigh(high, swingLength, swingLength)
float pl = ta.pivotlow(low, swingLength, swingLength)
When a pivot is confirmed, its price and originating bar index are stored:
-Swing High: price = pivot high, isHigh = true
-Swing Low: price = pivot low, isHigh = false
The script keeps a limited history (most recent swings) to stay efficient.
2. Fair Value Gap Detection
FVGs use the classic three candle displacement imbalance:
Bullish FVG condition
bool isBullFVG = high < low
Bullish gap range is defined as:
-Top = low
-Bottom = high
Bearish FVG condition
bool isBearFVG = low > high
Bearish gap range is defined as:
-Top = low
-Bottom = high
3. ATR Based Minimum Gap Filter
ATR is computed (length 14), then the gap size is compared against a user threshold:
float atr = ta.atr(14)
bool validBullFVG = isBullFVG and (bullFvgTop - bullFvgBot) > (atr * fvgThreshold)
bool validBearFVG = isBearFVG and (bearFvgTop - bearFvgBot) > (atr * fvgThreshold)
This prevents very small imbalances from generating setups in low volatility conditions.
4. “First Break” Check Using Level Invalidation Scan
Before accepting a swing break, the script scans forward from the swing bar to the current bar to confirm the level has not already been breached. The scan can be based on wick or close:
-Wick mode: uses high or low
-Close mode: uses close
Conceptually:
priceToCheck = mode == "Wick" ? (checkBelow ? low : high) : close
If a prior breach is found, the swing is treated as already invalidated and is ignored for setup creation.
5. Break Of Structure Condition
Bullish break requirement
A bullish setup requires breaking a stored swing high with bullish body intent:
-close > swingHighPrice
-open < close
Bearish break requirement
A bearish setup requires breaking a stored swing low with bearish body intent:
-close < swingLowPrice
-open > close
An additional proximity filter is applied in the bearish branch to reduce weak or overly extended breaks by requiring the prior close to be reasonably near the swing level.
6. Breaker Range Construction
Once a qualifying swing is found, the breaker range is derived from the body of the swing candle (the candle at the swing bar index). The body boundaries are:
float breakerTop = math.max(bOpen, bClose)
float breakerBot = math.min(bOpen, bClose)
This models the breaker as the candle body range rather than full wick range, which typically produces more practical invalidation boundaries.
7. Overlap Test Between Breaker and FVG
A setup is only created if the breaker body overlaps the FVG zone. Conceptually the script rejects cases where one range is fully above or fully below the other:
-If there is no overlap, no setup is created
-If overlap exists, the Unicorn setup is valid
8. Active Monitoring and Invalidation
Each setup remains active until invalidated. Invalidation is evaluated every bar using your selected basis:
-Close basis: compares close to breaker boundary
-Wick basis: compares high or low to breaker boundary
Bullish invalidation
Setup fails if price crosses below breaker bottom.
Bearish invalidation
Setup fails if price crosses above breaker top.
If deletion is enabled, all drawings related to that setup are removed immediately on invalidation.
9. Drawing Updates and Object Lifecycle
Breaker and FVG boxes are extended to the right while the setup is active to keep zones visible into the near future. The Unicorn label is also repositioned as new bars print so the most recent context stays readable.
Monthly High/Low - [JTCAPITAL]Monthly High/Low Probability Table - is a modified way to use historical monthly high and low tracking combined with probabilistic analysis for bullish and bearish months to detect potential patterns in monthly price behavior.
The indicator works by calculating in the following steps:
Variable Declaration
Persistent variables ( var ) are used to store monthly highs, lows, open and close prices, and the days on which highs and lows occurred. Separate arrays track bullish and bearish month statistics for highs and lows ( highBull, lowBull, highBear, lowBear ). Counters ( bullCount, bearCount ) store the number of bullish and bearish months recorded.
New Month Detection
The script detects the start of a new month by comparing the current bar’s month to the previous bar’s month. If a new month is detected, the script proceeds to update statistics for the previous month.
Monthly High/Low Recording and Classification
At the start of each new month, the previous month’s high, low, open, and close are evaluated:
If monthClose > monthOpen , the month is classified as bullish.
If monthClose < monthOpen , the month is classified as bearish.
The arrays ( highBull, lowBull, highBear, lowBear ) are updated at the respective high and low days of the month by incrementing counts, which allows the script to keep track of the frequency of monthly highs and lows occurring on specific days.
Monthly High/Low Tracking
During the month, the script continuously updates monthHigh and monthLow if the current bar’s high exceeds monthHigh or the low is below monthLow . The days on which these highs and lows occur are recorded ( highDay and lowDay ). The monthClose variable is continuously updated to the latest closing price.
Probability Calculation
Once monthly data is accumulated, the script calculates probabilities for each day of the month:
bullHighProb and bullLowProb represent the probability (in percentage) that a bullish month’s high or low occurred on a given day.
bearHighProb and bearLowProb represent the probability for bearish months.
These probabilities are calculated by dividing the count of high or low occurrences on each day by the total number of bullish or bearish months, then multiplying by 100. This probabilistic approach allows traders to see recurring patterns for highs and lows across multiple months.
Gradient Coloring Function
The helper function gradientRelative computes a color gradient between lowColor and highColor based on the relative probability value. Higher probabilities are colored closer to highColor , and lower probabilities closer to lowColor . This visual representation allows for quick identification of the most probable days for highs and lows in bullish or bearish months.
Dynamic Updates
As new bars are processed, the table is updated in real-time with new probabilities reflecting the most recent month’s data. This dynamic behavior ensures that the table remains accurate and responsive to the latest market information.
Buy and Sell Conditions:
This indicator does not provide direct buy or sell signals. Instead, it provides probabilistic information about historical patterns for bullish and bearish months. Traders can use the table to:
Identify days in the month where highs or lows are statistically more likely to occur.
Combine with other trend-following or reversal strategies to optimize entry and exit points.
For example, if a trader notices that bullish month highs frequently occur around day 15, they may plan trades around that period when other indicators align.
Features and Parameters:
Dynamic Probability Table : Updates in real-time as new monthly data becomes available.
Historical Pattern Tracking : Maintains arrays for highs and lows in bullish and bearish months.
Gradient Visualization : Uses color interpolation to quickly highlight higher probability days.
Specifications:
Monthly High/Low Tracking
Tracks the highest and lowest prices within each month. This is the foundation of the probability calculations. It allows traders to understand when significant price events historically occur.
Bullish/Bearish Month Classification
Each month is classified based on the relationship between monthClose and monthOpen . This provides context for the high/low occurrences: whether they happened in bullish or bearish months.
High/Low Occurrence Arrays
Four arrays ( highBull, lowBull, highBear, lowBear ) store the count of high and low occurrences for each day of the month. These arrays are the core of the statistical analysis.
Probability Calculation
Divides the count of occurrences for each day by the total number of months in that category (bullish/bearish). Multiplying by 100 converts this to a percentage probability, giving traders a numerical sense of recurrence.
Real-Time Updates
The table and probabilities are recalculated and refreshed with each new bar. This ensures that traders have the most current information available without manual recalculation.
User-Centric Visualization
By showing probabilities for both bullish and bearish months separately, traders gain a deeper understanding of market tendencies and recurring monthly patterns, which can be leveraged for improved timing and strategy alignment.
Important:
There is a misalign in percentages due to not all months having the same amount of days.
Advanced Rainbow EMA + SMMA SystemAdvanced Rainbow EMA + SMMA System
This custom indicator overlays eight rainbow‑colored EMAs (20, 25, 30, 35, 40, 45, 50, 55) together with two Smoothed Moving Averages (SMMA 50 in white, SMMA 200 in red).
Features:
🌈 Rainbow EMAs: Smooth gradient from yellow → gold → orange → dark orange → tomato → crimson → red → blue, showing short‑ to medium‑term momentum.
⚪🔴 Smoothed Moving Averages: Thick white SMMA (50) and thick red SMMA (200) for long‑term trend context.
🟩🟥 Background shading: Green when EMAs align bullish and SMMA 50 > SMMA 200, red when bearish.
📈📉 Signal arrows: “BUY” labels on Golden Cross (SMMA 50 crossing above SMMA 200), “SELL” labels on Death Cross (SMMA 50 crossing below SMMA 200).
🔔 Alerts: Built‑in TradingView alerts for Golden/Death Cross and for strong bullish/bearish EMA alignment.
Use case: This tool helps traders quickly visualize short‑term momentum against long‑term smoothed trend direction. It highlights strong trending conditions, potential reversals, and crossover signals, making it suitable for swing trading, trend following, and confirmation of entries/exits.
Wyckoff Method - Comprehensive Analysis# WYCKOFF METHOD - QUICK REFERENCE CHEAT SHEET
## 🟢 STRONGEST BUY SIGNALS
### 1. SPRING ⭐⭐⭐⭐⭐
- **What:** False breakdown below support on LOW volume
- **Look for:** Quick reversal, close above support
- **Entry:** When price closes back in range
- **Stop:** Below spring low
- **Target:** Top of range minimum
### 2. SOS (Sign of Strength) ⭐⭐⭐⭐
- **What:** Breakout above resistance on HIGH volume
- **Look for:** Wide spread up bar, strong close
- **Entry:** On breakout or wait for LPS pullback
- **Stop:** Below range top
- **Target:** Height of range projected up
### 3. SHAKEOUT ⭐⭐⭐⭐
- **What:** Sharp move below support with HIGH volume, immediate reversal
- **Look for:** Long lower wick, closes strong
- **Entry:** When price reclaims support
- **Stop:** Below shakeout low
- **Target:** Previous resistance
---
## 🔴 STRONGEST SELL SIGNALS
### 1. UTAD (Upthrust After Distribution) ⭐⭐⭐⭐⭐
- **What:** False breakout above resistance, quick rejection
- **Look for:** Spike high, weak close, often high volume
- **Entry:** When price closes back in range
- **Stop:** Above UTAD high
- **Target:** Bottom of range minimum
### 2. SOW (Sign of Weakness) ⭐⭐⭐⭐
- **What:** Breakdown below support on HIGH volume
- **Look for:** Wide spread down bar, weak close
- **Entry:** On breakdown or wait for LPSY rally
- **Stop:** Above range bottom
- **Target:** Height of range projected down
### 3. UPTHRUST ⭐⭐⭐⭐
- **What:** Move above resistance on LOW volume, weak close
- **Look for:** Long upper wick, closes in lower half
- **Entry:** When resistance holds
- **Stop:** Above upthrust high
- **Target:** Support level
---
## 📊 ACCUMULATION PHASES (Bottom Formation)
```
PHASE A: Stopping the Downtrend
├─ PS (Preliminary Support) - First buying
├─ SC (Selling Climax) - Panic bottom ⚠️ KEY EVENT
├─ AR (Automatic Rally) - Relief bounce
└─ ST (Secondary Test) - Retest SC low
PHASE B: Building the Cause
├─ Trading range forms
├─ Multiple tests of support
├─ Volume decreasing
└─ Absorption occurring
PHASE C: The Test
├─ SPRING - False breakdown ⚠️ KEY EVENT
└─ TEST - Support holds on low volume
PHASE D: Dominance Emerges
├─ SOS - Breakout ⚠️ KEY EVENT
├─ LPS - Last Point of Support (pullback)
└─ BU - Backup
PHASE E: Markup
└─ New uptrend, strong momentum
```
**Background Color:** Blue → Green (getting brighter)
**Action:** Buy in Phase C/D, Hold through Phase E
---
## 📊 DISTRIBUTION PHASES (Top Formation)
```
PHASE A: Stopping the Uptrend
├─ PSY (Preliminary Supply) - First selling
├─ BC (Buying Climax) - Euphoric top ⚠️ KEY EVENT
├─ AR (Automatic Reaction) - Sharp drop
└─ ST (Secondary Test) - Retest BC high
PHASE B: Building the Cause
├─ Trading range forms
├─ Multiple tests of resistance
├─ Demand being absorbed
└─ Volume patterns change
PHASE C: The Test
└─ UTAD - False breakout ⚠️ KEY EVENT
PHASE D: Dominance Emerges
├─ SOW - Breakdown ⚠️ KEY EVENT
└─ LPSY - Last Point of Supply (rally to exit)
PHASE E: Markdown
└─ New downtrend, strong selling
```
**Background Color:** Orange → Red (getting darker)
**Action:** Sell in Phase C/D, Stay out during Phase E
---
## 💰 VOLUME SPREAD ANALYSIS (VSA)
| Signal | Meaning | Color | Implication |
|--------|---------|-------|-------------|
| **ND** (No Demand) | Up bar, LOW volume | 🟠 Orange | Weakness - uptrend ending |
| **NS** (No Supply) | Down bar, LOW volume | 🔵 Blue | Strength - downtrend ending |
| **SV** (Stopping Volume) | VERY HIGH volume, narrow spread | 🟣 Purple | Potential reversal |
| **UT** (Upthrust) | Above resistance, LOW vol, weak close | 🔴 Red | Sell signal |
| **SO** (Shakeout) | Below support, HIGH vol, strong close | 🟢 Green | Buy signal |
---
## 🎯 VOLUME INTERPRETATION
| Volume Level | Bar Color | Meaning |
|--------------|-----------|---------|
| **VERY HIGH** (>2x average) | Dark Green/Red | Climax, potential reversal |
| **HIGH** (>1.5x average) | Light Green/Red | Strong interest |
| **NORMAL** | Gray | Average trading |
| **LOW** (<0.7x average) | Faint Gray | Testing, no interest |
---
## ⚖️ EFFORT vs RESULT
| Scenario | Volume | Spread | Meaning |
|----------|--------|--------|---------|
| **High Effort, Low Result** | HIGH | Narrow | ⚠️ Potential reversal |
| **Low Effort, High Result** | LOW | Wide | ⚠️ Trend weakening |
| **High Effort, High Result** | HIGH | Wide | ✅ Strong trend |
| **Low Effort, Low Result** | LOW | Narrow | 😴 No interest |
---
## 📏 TRADING RULES
### ✅ DO:
- ✅ Wait for confirmation before entering
- ✅ Trade in direction of higher timeframe
- ✅ Use springs and UTAD as primary signals
- ✅ Measure trading range for targets
- ✅ Place stops outside the range
- ✅ Look for volume confirmation
- ✅ Check multiple timeframes
- ✅ Focus on Phase C and D events
### ❌ DON'T:
- ❌ Buy during Phase E Markdown
- ❌ Sell during Phase E Markup
- ❌ Trade against major trend
- ❌ Ignore volume signals
- ❌ Enter without clear stop loss
- ❌ Trade every signal
- ❌ Use on very low timeframes without practice
- ❌ Ignore the context
---
## 🎪 COMPOSITE OPERATOR (Smart Money)
### 💰 Green Money Symbol (Bottom)
- **Meaning:** Institutions accumulating
- **Location:** Demand zones, springs, tests
- **Action:** Follow the smart money - buy
### 💰 Red Money Symbol (Top)
- **Meaning:** Institutions distributing
- **Location:** Supply zones, UTAD, weak rallies
- **Action:** Follow the smart money - sell
---
## 📍 SUPPLY & DEMAND ZONES
### 🟢 Demand Zones (Green Boxes)
- **Created at:** SC, Spring, Shakeout
- **Represents:** Where smart money bought
- **Action:** Look for bounces
### 🔴 Supply Zones (Red Boxes)
- **Created at:** BC, UTAD, Upthrust
- **Represents:** Where smart money sold
- **Action:** Look for rejections
---
## 🎯 TARGET CALCULATION
### Measured Move Method
```
1. Measure trading range height
Example: Top at 120, Bottom at 100 = 20 points
2. Add to breakout point (accumulation)
Breakout at 120 + 20 = Target: 140
3. Or subtract from breakdown (distribution)
Breakdown at 100 - 20 = Target: 80
```
### Multiple Targets
- **Conservative:** 1x range height (100% probability reached)
- **Moderate:** 1.5x range height (70% probability)
- **Aggressive:** 2x range height (40% probability)
---
## ⏰ TIMEFRAME GUIDE
| Timeframe | Use For | Reliability | Recommended For |
|-----------|---------|-------------|-----------------|
| **Weekly** | Major trends | ⭐⭐⭐⭐⭐ | Position traders |
| **Daily** | Swing trades | ⭐⭐⭐⭐⭐ | Most traders |
| **4-Hour** | Active swing | ⭐⭐⭐⭐ | Active traders |
| **1-Hour** | Day trading | ⭐⭐⭐ | Experienced only |
| **15-Min** | Scalping | ⭐⭐ | Experts only |
**Golden Rule:** Always check one timeframe higher for context!
---
## 🚨 ALERT PRIORITY
### 🔔 MUST-HAVE ALERTS
1. Spring
2. UTAD
3. SOS
4. SOW
### 🔔 NICE-TO-HAVE ALERTS
5. Selling Climax (SC)
6. Buying Climax (BC)
7. Smart Money Accumulation
8. Smart Money Distribution
### 🔔 CONFIRMATION ALERTS
9. Phase E Markup
10. Phase E Markdown
---
## 💡 QUICK DECISION TREE
```
Is there a clear trading range?
├─ YES
│ ├─ Did price break BELOW support?
│ │ ├─ Volume LOW + Quick reversal = SPRING → BUY ✅
│ │ └─ Volume HIGH + Stays down = Breakdown → SELL ⚠️
│ │
│ └─ Did price break ABOVE resistance?
│ ├─ Volume LOW + Quick reversal = UTAD → SELL ✅
│ └─ Volume HIGH + Stays up = Breakout → BUY ⚠️
│
└─ NO
├─ Strong uptrend = Wait for re-accumulation
└─ Strong downtrend = Wait for re-distribution
```
---
## 📝 PRE-TRADE CHECKLIST
Before entering any trade:
- Identified the current Wyckoff phase
- Confirmed with volume analysis
- Checked higher timeframe trend
- Located supply/demand zones
- Identified clear entry point
- Set stop loss level
- Calculated target (risk:reward >1:2)
- Verified position size (risk 1-2%)
- Have at least 2 confirming signals
- Not trading against major trend
---
## 🧠 REMEMBER
**The Three Laws:**
1. **Supply & Demand** - Price is determined by imbalance
2. **Cause & Effect** - Range size predicts move size
3. **Effort & Result** - Volume should confirm price movement
**The Key Principle:**
> "Trade with the Composite Operator (smart money), not against them"
**Best Setups:**
1. Spring in accumulation (Phase C)
2. UTAD in distribution (Phase C)
3. SOS breakout (Phase D)
4. SOW breakdown (Phase D)
**When in Doubt:**
- ❓ Stay out
- 📈 Use higher timeframe
- 📚 Review the documentation
- 🎯 Wait for clearer signal
---
## 📱 INDICATOR SETTINGS QUICK SETUP
**For Stocks/Crypto (Good Volume Data):**
- Volume MA Length: 20
- High Volume Multiplier: 1.5
- Climax Volume: 2.0
- Swing Length: 5
**For Forex (Limited Volume Data):**
- Volume MA Length: 20
- High Volume Multiplier: 1.3
- Climax Volume: 1.8
- Swing Length: 7
- Turn OFF "Volume Confirmation"
**For Day Trading:**
- Swing Length: 3
- All other settings: Default
**For Position Trading:**
- Swing Length: 7-10
- Volume MA Length: 30
- Use Daily/Weekly charts
---
## 🎓 SKILL PROGRESSION
### Beginner (Month 1-2)
- Focus on: SC, Spring, SOS
- Timeframe: Daily only
- Goal: Identify phases correctly
### Intermediate (Month 3-6)
- Add: All accumulation events
- Timeframe: Daily + 4H
- Goal: Trade springs profitably
### Advanced (Month 6-12)
- Add: Distribution events, VSA
- Timeframe: Multiple timeframes
- Goal: Trade complete cycles
### Expert (Year 2+)
- Master: All events, all timeframes
- Combine: With other methodologies
- Goal: Consistent profitability
---
**Print this sheet and keep it next to your trading desk!**
*Remember: Quality over quantity. Wait for the best setups.*
# Wyckoff Method - Comprehensive Analysis Indicator
## Complete Implementation Guide for TradingView Pine Script
---
## TABLE OF CONTENTS
1. (#overview)
2. (#installation)
3. (#theory)
4. (#components)
5. (#signals)
6. (#strategies)
7. (#settings)
8. (#alerts)
9. (#patterns)
10. (#troubleshooting)
---
## OVERVIEW
This indicator implements Richard Wyckoff's complete trading methodology, including:
- **All 5 Phases** of Accumulation and Distribution
- **18+ Wyckoff Events** (PS, SC, AR, ST, Spring, SOS, LPS, BC, UTAD, SOW, etc.)
- **Volume Spread Analysis (VSA)** principles
- **Supply & Demand Zone** detection
- **Composite Operator** logic (Smart Money tracking)
- **Effort vs Result** analysis
- **Three Wyckoff Laws**: Supply/Demand, Cause/Effect, Effort/Result
---
## INSTALLATION
### Step 1: Copy the Code
1. Open the `wyckoff_comprehensive.pine` file
2. Select all code (Ctrl+A / Cmd+A)
3. Copy to clipboard (Ctrl+C / Cmd+C)
### Step 2: Add to TradingView
1. Go to TradingView.com
2. Open any chart
3. Click "Pine Editor" at the bottom of the screen
4. Click "New" or "Open"
5. Paste the entire code
6. Click "Save" and give it a name
7. Click "Add to Chart"
### Step 3: Verify Installation
You should see:
- Labels on the chart (PS, SC, Spring, SOS, etc.)
- Background colors indicating phases
- Volume analysis in the lower pane
- A table in the top-right corner showing current phase
---
## WYCKOFF METHOD THEORY
### The Three Fundamental Laws
#### 1. **Law of Supply and Demand**
- Price rises when demand exceeds supply
- Price falls when supply exceeds demand
- The indicator tracks volume vs price movement to identify imbalances
#### 2. **Law of Cause and Effect**
- A period of accumulation (cause) leads to markup (effect)
- A period of distribution (cause) leads to markdown (effect)
- Trading ranges build "cause" for future price movement
#### 3. **Law of Effort vs Result**
- **Effort** = Volume (energy put into the market)
- **Result** = Price movement (spread of the bar)
- High effort with low result = potential reversal
- Low effort with high result = trend weakness
### The Five Phases
#### **ACCUMULATION CYCLE**
**Phase A: Stopping the Downtrend**
- Preliminary Support (PS): First sign of buying
- Selling Climax (SC): Panic selling exhaustion
- Automatic Rally (AR): Bounce from SC
- Secondary Test (ST): Test of SC low on lower volume
**Phase B: Building the Cause**
- Trading range develops
- Supply being absorbed by composite operator
- Multiple tests of support and resistance
- Volume generally decreases
**Phase C: The Test (Spring)**
- False breakdown below support
- Traps late sellers
- Quick reversal on low volume
- Last chance to accumulate before markup
**Phase D: Dominance Emerges**
- Sign of Strength (SOS): Break above resistance
- Last Point of Support (LPS): Pullback opportunity
- Backup (BU): Final consolidation
- Demand clearly exceeds supply
**Phase E: Markup**
- New uptrend established
- Price moves rapidly higher
- Phase E can last months/years
- Original trading range becomes support
#### **DISTRIBUTION CYCLE**
**Phase A: Stopping the Uptrend**
- Preliminary Supply (PSY): First sign of selling
- Buying Climax (BC): Euphoric buying exhaustion
- Automatic Reaction (AR): Sharp selloff from BC
- Secondary Test (ST): Test of BC high on lower volume
**Phase B: Building the Cause**
- Trading range at top
- Demand being absorbed by composite operator
- Multiple tests of support and resistance
**Phase C: The Test (UTAD)**
- Upthrust After Distribution
- False breakout above resistance
- Traps late buyers
- Quick reversal
**Phase D: Dominance Emerges**
- Sign of Weakness (SOW): Break below support
- Last Point of Supply (LPSY): Rally opportunity to exit
- Supply clearly exceeds demand
**Phase E: Markdown**
- New downtrend established
- Price moves rapidly lower
- Original trading range becomes resistance
---
## INDICATOR COMPONENTS
### 1. EVENT LABELS
#### Accumulation Events (Green labels)
- **PS** = Preliminary Support
- **SC** = Selling Climax (largest label, most important)
- **AR** = Automatic Rally
- **ST** = Secondary Test
- **SPRING** = Spring (critical buy signal)
- **TEST** = Test of support
- **SOS** = Sign of Strength (breakout)
- **LPS** = Last Point of Support
- **BU** = Backup
#### Distribution Events (Red labels)
- **PSY** = Preliminary Supply
- **BC** = Buying Climax (largest label, most important)
- **AR** = Automatic Reaction
- **ST** = Secondary Test
- **UTAD** = Upthrust After Distribution (critical sell signal)
- **SOW** = Sign of Weakness
- **LPSY** = Last Point of Supply
#### VSA Events (Small colored labels)
- **ND** (Orange) = No Demand - weakness
- **NS** (Blue) = No Supply - strength
- **SV** (Purple) = Stopping Volume
- **UT** (Red) = Upthrust - weakness
- **SO** (Green) = Shakeout - strength
#### Composite Operator (💰 symbols)
- Green 💰 at bottom = Smart Money Accumulation
- Red 💰 at top = Smart Money Distribution
### 2. BACKGROUND COLORS
- **Light Blue** = Phase A (Accumulation)
- **Light Orange** = Phase A (Distribution)
- **Very Light Green** = Phase C (Accumulation Testing)
- **Very Light Red** = Phase C (Distribution Testing)
- **Light Green** = Phase D (Accumulation Strength)
- **Light Red** = Phase D (Distribution Weakness)
- **Green** = Phase E (Markup - Bull trend)
- **Red** = Phase E (Markdown - Bear trend)
### 3. SUPPLY & DEMAND ZONES
- **Green boxes** = Demand zones (where smart money accumulated)
- **Red boxes** = Supply zones (where smart money distributed)
- Zones extend 20 bars into the future
- Price reactions at these zones are significant
### 4. VOLUME PANEL
- **Dark Green/Red bars** = Very High Volume (climax)
- **Light Green/Red bars** = High Volume
- **Gray bars** = Normal Volume
- **Faint Gray bars** = Low Volume
- **Blue line** = Volume Moving Average
### 5. INFORMATION TABLE (Top Right)
Displays real-time analysis:
- **Current Phase** (A, B, C, D, or E)
- **Status** (description of what's happening)
- **Volume** (Very High, High, Normal, Low)
- **Spread** (Wide, Normal, Narrow)
- **Effort/Result** (Poor, Normal, Good)
- **Range** (YES if in trading range)
- **Bias** (BULLISH, BEARISH, or NEUTRAL)
---
## HOW TO READ THE SIGNALS
### STRONG BUY SIGNALS (in order of strength)
1. **SPRING** (strongest)
- False breakdown below support
- Look for: Low volume, quick reversal, close above support
- Entry: When price closes back above support level
- Stop: Below the spring low
2. **SOS (Sign of Strength)**
- Break above trading range resistance
- Look for: High volume, wide spread up bar
- Entry: On breakout or pullback to LPS
- Stop: Below trading range
3. **Shakeout (SO)**
- Similar to spring but more violent
- Look for: High volume, penetration of support, strong close
- Entry: When price reclaims support
- Stop: Below shakeout low
4. **LPS (Last Point of Support)**
- Pullback after SOS
- Look for: Low volume, shallow pullback
- Entry: When support holds
- Stop: Below LPS
5. **No Supply (NS)**
- Down bar on very low volume
- Indicates lack of selling pressure
- Confirms accumulation phase
### STRONG SELL SIGNALS (in order of strength)
1. **UTAD (Upthrust After Distribution)** (strongest)
- False breakout above resistance
- Look for: High volume spike, rejection, close below resistance
- Entry: When price closes back below resistance
- Stop: Above UTAD high
2. **SOW (Sign of Weakness)**
- Break below trading range support
- Look for: High volume, wide spread down bar
- Entry: On breakdown or rally to LPSY
- Stop: Above trading range
3. **Upthrust (UT)**
- Move above resistance on low volume, weak close
- Look for: Low volume, close in lower half of bar
- Entry: When resistance becomes resistance again
- Stop: Above upthrust high
4. **LPSY (Last Point of Supply)**
- Rally after SOW
- Look for: Low volume, weak rally
- Entry: When rally fails
- Stop: Above LPSY
5. **No Demand (ND)**
- Up bar on very low volume
- Indicates lack of buying pressure
- Confirms distribution phase
### NEUTRAL/WARNING SIGNALS
- **High Effort, Low Result** = Potential reversal coming
- **Stopping Volume** = Trend may be ending
- **Absorption** = Large volume with small movement (accumulation/distribution)
---
## TRADING STRATEGY EXAMPLES
### Strategy 1: Accumulation Range Breakout
**Setup:**
1. Identify trading range (blue background in Phase B)
2. Wait for Spring or Test (Phase C)
3. Wait for SOS breakout (Phase D)
**Entry:**
- Option A: Buy on SOS breakout
- Option B: Wait for LPS pullback (better risk/reward)
**Stop Loss:**
- Below the spring low or trading range bottom
**Target:**
- Measure height of trading range (cause)
- Project upward from breakout point (effect)
- Minimum target = range height
**Example:**
```
Trading Range: 100 to 120 (20 point range)
SOS Breakout at: 120
Target: 120 + 20 = 140 minimum
```
### Strategy 2: Distribution Range Breakdown
**Setup:**
1. Identify trading range after uptrend
2. Wait for UTAD (Phase C)
3. Wait for SOW breakdown (Phase D)
**Entry:**
- Option A: Sell on SOW breakdown
- Option B: Wait for LPSY rally (better risk/reward)
**Stop Loss:**
- Above the UTAD high or trading range top
**Target:**
- Measure height of trading range
- Project downward from breakdown point
- Minimum target = range height
### Strategy 3: Spring Trading
**Setup:**
1. Strong downtrend followed by range
2. Price breaks below range bottom
3. Volume is LOW on breakdown
4. Price quickly reverses and closes above support
**Entry:**
- When candle closes above support level
- Or on retest of support
**Stop Loss:**
- Below spring low (usually tight)
**Target:**
- Top of trading range
- Previous swing high
**Risk/Reward:**
- Typically 1:3 or better
### Strategy 4: Smart Money Tracking
**Setup:**
1. Look for 💰 symbols in demand zones
2. Multiple accumulation signals (PS, SC, ST, Test)
3. Volume decreasing during range
**Entry:**
- At next demand zone test
- On SOS breakout
**Confirmation:**
- Background turning green (Phase D/E)
- Table shows "BULLISH" bias
### Strategy 5: VSA Reversal
**Setup:**
1. Strong trend in place
2. Stopping Volume (SV) appears at extreme
3. Followed by No Demand (ND) or No Supply (NS)
**Entry:**
- When trend breaks down/up
- On retest of extreme
**Example (Bullish):**
```
Downtrend → Stopping Volume → No Supply → Up bar
Entry: Buy when price moves above SV bar
```
---
## SETTINGS & CUSTOMIZATION
### Volume Analysis Settings
**Volume MA Length** (default: 20)
- Shorter = More sensitive to volume changes
- Longer = Smoother, less noise
- Recommended: 15-25 for most timeframes
**High Volume Multiplier** (default: 1.5)
- Threshold for "high volume"
- Lower = More signals
- Higher = Only extreme volume
- Recommended: 1.3-2.0
**Climax Volume Multiplier** (default: 2.0)
- Threshold for climax events (SC, BC)
- Should be significantly higher than normal
- Recommended: 2.0-3.0
### Phase Detection Settings
**Swing Detection Length** (default: 5)
- How many bars to look left/right for swing points
- Shorter = More swings detected (more noise)
- Longer = Fewer swings (cleaner, might miss some)
- Recommended: 3-7
**Range Expansion Threshold** (default: 1.5)
- Multiplier for "wide spread" bars
- Higher = Only very wide bars qualify
- Recommended: 1.3-2.0
**Volume Confirmation** (default: ON)
- Requires volume confirmation for events
- Turn OFF for very low volume instruments
- Keep ON for stocks, forex, crypto
### Display Options
Toggle on/off:
- ✅ **Show Accumulation/Distribution Phases** - Background colors
- ✅ **Show Wyckoff Events** - All labeled events
- ✅ **Show Volume Spread Analysis** - VSA labels
- ✅ **Show Supply/Demand Zones** - Boxes on chart
- ✅ **Show Composite Operator Signals** - 💰 symbols
### Color Customization
- **Bullish Color** - All accumulation events
- **Bearish Color** - All distribution events
- **Neutral Color** - Range/neutral signals
---
## ALERT SETUP
### Available Alerts
1. **Selling Climax (SC)** - Potential bottom forming
2. **Spring** - Strong buy signal
3. **Sign of Strength (SOS)** - Bullish breakout
4. **Buying Climax (BC)** - Potential top forming
5. **UTAD** - Strong sell signal
6. **Sign of Weakness (SOW)** - Bearish breakdown
7. **Phase E Markup** - Uptrend confirmed
8. **Phase E Markdown** - Downtrend confirmed
9. **Smart Money Accumulation** - Institutions buying
10. **Smart Money Distribution** - Institutions selling
### How to Set Up Alerts
1. Click the "⏰" icon on TradingView
2. Select "Create Alert"
3. Condition: Choose the indicator and alert type
4. Example: "Wyckoff Method - Spring"
5. Set notification preferences (popup, email, webhook)
6. Click "Create"
### Recommended Alert Strategy
**Conservative Trader:**
- Spring
- SOS
- UTAD
- SOW
**Aggressive Trader:**
- Add: SC, BC, Smart Money signals
**Long-term Investor:**
- Phase E Markup
- Phase E Markdown
- Smart Money Accumulation
---
## COMMON PATTERNS
### Pattern 1: Classic Accumulation
```
Phase A: Downtrend → PS → SC → AR → ST
Phase B: Range building (4-12 weeks typical)
Phase C: Spring (false breakdown)
Phase D: SOS → LPS → BU
Phase E: Markup (new uptrend)
```
**What to do:**
- Mark the range boundaries
- Wait for spring
- Buy on LPS or SOS
- Hold through markup
### Pattern 2: Classic Distribution
```
Phase A: Uptrend → PSY → BC → AR → ST
Phase B: Range building (topping process)
Phase C: UTAD (false breakout)
Phase D: SOW → LPSY
Phase E: Markdown (new downtrend)
```
**What to do:**
- Mark the range boundaries
- Wait for UTAD
- Sell on LPSY or SOW
- Stay out during markdown
### Pattern 3: Re-Accumulation
```
Uptrend → Trading Range → Spring → Uptrend continues
```
- Occurs during existing uptrend
- Shorter accumulation period
- Often no clear SC (trend is already up)
- Spring is the key signal
### Pattern 4: Re-Distribution
```
Downtrend → Trading Range → UTAD → Downtrend continues
```
- Occurs during existing downtrend
- Shorter distribution period
- Often no clear BC (trend is already down)
- UTAD is the key signal
### Pattern 5: Failed Breakout
**Bullish Failed Breakout:**
```
Range → Breakdown → Immediate reversal (Spring)
```
- Price breaks support
- Volume is LOW
- Immediate strong reversal
- Very bullish
**Bearish Failed Breakout:**
```
Range → Breakout → Immediate reversal (UTAD)
```
- Price breaks resistance
- Volume may be high initially
- Quick rejection and reversal
- Very bearish
---
## TIMEFRAME RECOMMENDATIONS
### Daily Charts (Most Reliable)
- Best for swing trading
- Clear phases and events
- Less noise
- Recommended for beginners
### 4-Hour Charts
- Good for active swing traders
- Faster signals than daily
- Still reliable
### 1-Hour Charts
- For day traders
- More false signals
- Need to filter carefully
- Use in conjunction with higher timeframe
### 15-Minute / 5-Minute
- Only for experienced traders
- High noise level
- Many false signals
- Use daily chart for context
**Golden Rule:** Always check higher timeframe first!
---
## MULTI-TIMEFRAME ANALYSIS
### Top-Down Approach (Recommended)
1. **Weekly Chart** - Identify major trend and phase
2. **Daily Chart** - Find current accumulation/distribution
3. **4H Chart** - Identify entry timing
4. **Entry Timeframe** - Execute trade
### Example Analysis:
**Weekly:** Phase E Markup (bullish)
**Daily:** Phase B Re-accumulation
**4-Hour:** Spring detected
**Action:** Buy on daily LPS
---
## WYCKOFF + OTHER INDICATORS
### Complementary Tools
1. **Moving Averages**
- 20/50 SMA for trend context
- Already plotted on indicator
2. **RSI**
- Divergences at SC/BC
- Confirms overbought/oversold
3. **MACD**
- Confirms trend change in Phase D
- Divergences support Wyckoff events
4. **Volume Profile**
- Identifies value areas
- Confirms supply/demand zones
5. **Order Flow / Footprint Charts**
- See institutional activity
- Confirms smart money signals
**Don't Over-Complicate:**
- Wyckoff is a complete system
- Other indicators are supplementary
- When in doubt, trust Wyckoff
---
## TROUBLESHOOTING
### Issue: Too Many Labels
**Solution:**
- Increase swing length (Settings → 7 or 10)
- Increase volume multipliers
- Turn off VSA labels if not needed
- Focus on major events only (SC, Spring, SOS, BC, UTAD, SOW)
### Issue: Missing Expected Events
**Solution:**
- Decrease swing length (Settings → 3)
- Decrease volume multipliers
- Turn OFF volume confirmation
- Check timeframe (use daily chart)
### Issue: False Signals
**Solution:**
- Use higher timeframe
- Wait for confirmation
- Don't trade against major trend
- Look for multiple signal convergence
### Issue: Can't See Background Colors
**Solution:**
- Check "Show Phases" is enabled
- Increase monitor brightness
- Colors are subtle by design (not to obscure price)
### Issue: Volume Shows Incorrectly
**Solution:**
- Ensure volume data is available for your symbol
- Some symbols have poor volume data
- Forex spot pairs have no real volume
- Use futures or stock markets for best results
### Issue: No Trading Range Detected
**Solution:**
- Market may be trending strongly
- Trading range might be too small
- Wait for price to consolidate
- Not all markets have clear ranges
---
## ADVANCED TIPS
### 1. Count Point & Figure Charts
- Wyckoff used P&F to measure "cause"
- Width of range × height = minimum move target
- Longer accumulation = larger markup
### 2. Watch for Absorption
- High volume + narrow spread = someone absorbing
- In downtrend = accumulation
- In uptrend = distribution
### 3. Multiple Timeframe Springs
- Spring on daily + spring on weekly = very strong
- Increases probability significantly
### 4. Failed Signals Are Signals Too
- Failed spring = weakness, expect lower
- Failed UTAD = strength, expect higher
### 5. Context is King
- Don't buy during Phase E Markdown
- Don't sell during Phase E Markup
- Respect the major trend
### 6. Volume Precedes Price
- Study volume changes first
- Price follows volume
- Decreasing volume in range = building energy
### 7. Composite Operator Mindset
- Think like institutions
- Where would smart money buy/sell?
- They need liquidity (retail traders)
---
## RISK MANAGEMENT
### Position Sizing
**Conservative:**
- Risk 1% per trade
- Wider stops at range boundaries
**Moderate:**
- Risk 1-2% per trade
- Stops below spring/above UTAD
**Aggressive:**
- Risk 2-3% per trade
- Tight stops
- Higher win rate needed
### Stop Loss Placement
**Accumulation:**
- Below spring low
- Below trading range bottom
- Below demand zone
**Distribution:**
- Above UTAD high
- Above trading range top
- Above supply zone
### Take Profit Strategy
**Method 1: Measured Move**
- Range height = minimum target
- 2x range height = extended target
**Method 2: Fibonacci Extensions**
- 1.0 = range height
- 1.618 = extended target
- 2.618 = maximum target
**Method 3: Trail the Stop**
- Move stop to breakeven at 1R
- Trail under swing lows in markup
- Lock in profits progressively
---
## BACKTESTING CHECKLIST
Before trading with real money:
- Backtest on 50+ historical examples
- Record all signals in trading journal
- Calculate win rate (aim for >50%)
- Calculate average R:R (aim for >1:2)
- Test on multiple instruments
- Test on multiple timeframes
- Test in different market conditions
- Verify signal consistency
- Practice on demo account
- Start small with real money
---
## RECOMMENDED READING
### Books
1. **"Studies in Tape Reading"** - Richard D. Wyckoff
2. **"The Richard D. Wyckoff Method"** - Rubén Villahermosa
3. **"Charting the Stock Market: The Wyckoff Method"** - Jack Hutson
4. **"Master the Markets"** - Tom Williams (VSA)
### Courses
1. Wyckoff Analytics - Official Wyckoff course
2. TradeVSA - Volume Spread Analysis
3. StockCharts - Wyckoff education
### Communities
1. Wyckoff Analytics Forum
2. Reddit r/Wyckoff
3. TradingView Wyckoff ideas section
---
## FREQUENTLY ASKED QUESTIONS
**Q: Can I use this on crypto?**
A: Yes, works well on major cryptocurrencies with good volume.
**Q: Does it work on forex?**
A: Yes, but use futures volume (like 6E for EUR/USD) for better accuracy.
**Q: What's the best timeframe?**
A: Daily chart for most traders. 4H for more active trading.
**Q: How long does accumulation last?**
A: Typically 2-12 weeks. Longer accumulation = bigger markup.
**Q: Can I automate this?**
A: You can use the alerts, but manual analysis is recommended.
**Q: What's the win rate?**
A: With proper filtering: 60-70% on major signals (Spring, UTAD, SOS, SOW).
**Q: Should I trade every signal?**
A: No. Focus on Spring, UTAD, SOS, and SOW in trending markets.
**Q: What if I see conflicting signals?**
A: Use higher timeframe for context. When in doubt, stay out.
**Q: How do I know which phase I'm in?**
A: Check the table in top-right corner. Also look at background color.
**Q: Can I use this for options trading?**
A: Yes, excellent for timing option entries (especially around Spring/UTAD).
---
## FINAL THOUGHTS
The Wyckoff Method is:
- **A complete trading system** (not just an indicator)
- **Based on 100+ years** of market wisdom
- **Used by institutions** and professional traders
- **Requires practice** and screen time
- **Highly effective** when applied correctly
**Success Tips:**
1. Start with daily charts
2. Focus on major events (SC, Spring, SOS, BC, UTAD, SOW)
3. Always check higher timeframe context
4. Wait for confirmation before entering
5. Manage risk properly
6. Keep a trading journal
7. Be patient - wait for the best setups
**Remember:**
- Not every range will have all events
- Some phases may be abbreviated
- Context and confluence matter most
- Practice makes perfect
---
## SUPPORT & UPDATES
For questions, improvements, or bug reports:
- Check TradingView script comments
- Join Wyckoff trading communities
- Study historical examples
- Practice on demo accounts
**Good luck and happy trading!**
---
*Disclaimer: This indicator is for educational purposes. Always do your own analysis and risk management. Past performance does not guarantee future results.*
# WYCKOFF VISUAL SETUP EXAMPLES
## ACCUMULATION SCHEMATIC #1 (Classic Bottom)
```
Price Chart View:
│ PHASE E
│ MARKUP
│ ╱
│ ╱
┌─SOS─────┤ ╱
│ │ ╱
┌───────────┤ ┌LPS │╱
│ PHASE B │ │ │
│ (Cause) └──┴──────┤
┌AR──┤ │
┌────┤ │ ┌─Spring │ PHASE D
│ └ST──┤ │ │
│ │ │ │
────SC────────┴─────────┴───────────┴──────────
│
PS
│ PHASE A
│
Downtrend
```
### PHASE A - Stopping the Downtrend
```
PS: │ High volume down bar
▼ First sign of support
■ Not bottom yet
SC: │ VERY HIGH volume
▼ Panic selling exhaustion
█ Long lower wick
█ This is the low
AR: │ Automatic rally
▲ Relief bounce
■ High volume acceptable
ST: │ Secondary test
▼ Low volume (KEY!)
■ Tests SC low
```
### PHASE B - Building the Cause
```
┌─────────┐
│ ~~~ │ Multiple tests
│ ~ ~ │ Volume decreases
│~ ~ │ Range gets tighter
└─────────┘
Duration: 2-12 weeks typical
The longer, the bigger the eventual move
```
### PHASE C - The Test (SPRING)
```
║ False breakdown
─────╨─────
▼ Low volume
█ Breaks below support
■
█ Quick reversal
▲ Closes ABOVE support
CRITICAL: Volume must be LOW
Close must be strong
Happens quickly (1-3 bars)
```
### PHASE D - Strength Emerges
```
SOS: ▲ Sign of Strength
────╥──── Break above resistance
║ High volume
║ Wide spread
LPS: ▼ Last Point Support
■ Pullback on LOW volume
▲ Great entry point
BU: ▲ Backup
■ Final consolidation
▲ Before markup
```
### PHASE E - Markup
```
╱
╱
╱ Strong uptrend
╱ High momentum
╱ Can last months/years
──╱──
```
---
## DISTRIBUTION SCHEMATIC #2 (Classic Top)
```
Price Chart View:
Uptrend
│
PSY
│ PHASE A
────BC────────┬─────────┬───────────┬──────────
│ │ UTAD │
│ PHASE B │ │ PHASE D
┌AR──┤ ┌LPSY │ │
│ │ │ └───────────┤
│ └──┴──────┐ │╲
└ST──┤ │ │ ╲
│ └───────────┤ ╲
└─SOW─────┤ │ ╲
│ │ ╲
│ PHASE C │ ╲
│ │ PHASE E
│ │ MARKDOWN
```
### PHASE A - Stopping the Uptrend
```
PSY: │ High volume up bar
▲ Preliminary supply
■ Selling starting
BC: │ VERY HIGH volume
▲ Buying climax
█ Euphoric top
█ Long upper wick
AR: │ Automatic reaction
▼ Sharp selloff
■ High volume
ST: │ Secondary test
▲ Low volume (KEY!)
■ Tests BC high
```
### PHASE C - The Test (UTAD)
```
▲ False breakout
────╥────
║ Breaks ABOVE resistance
║ Often high volume spike
▼
█ Rejection / weak close
█ Closes BELOW resistance
▼
CRITICAL: Closes weak
Quick rejection
Traps buyers
```
### PHASE D - Weakness Emerges
```
SOW: ▼ Sign of Weakness
────╨──── Break below support
║ High volume
║ Wide spread
LPSY: ▲ Last Point Supply
■ Rally on LOW volume
▼ Last chance to exit
```
---
## VOLUME PATTERNS (Critical to Understanding)
### ACCUMULATION Volume Pattern
```
Volume
│ SC
█
█ ST
■ ■ Spring
■ ■ ■ SOS LPS
──┴────┴────┴──────█───■────►
│ │ │ │ │
│ │ │ │ │
A A C D D
Pattern: HIGH → low → low → HIGH → low
Key: Volume DECREASES during range
INCREASES on breakout
```
### DISTRIBUTION Volume Pattern
```
Volume
│ BC
█
█ ST
■ ■ UTAD
■ ■ ■ SOW LPSY
──┴────┴────┴──────█───■────►
│ │ │ │ │
│ │ │ │ │
A A C D D
Pattern: HIGH → low → varies → HIGH → low
Key: Volume MAY increase on UTAD
Definitely HIGH on breakdown (SOW)
```
---
## REAL TRADE SETUPS
### Setup #1: SPRING BUY
```
Entry Conditions:
1. Clear trading range identified
2. Price breaks BELOW support
3. Volume is LOW (critical!)
4. Price reverses QUICKLY
5. Closes ABOVE support level
Entry: Next bar or on retest
Stop: Below spring low
Target: Top of range (minimum)
Example:
Support: $100
Spring low: $98 (low volume)
Close: $101
Entry: $102
Stop: $97.50
Target: $120 (range top)
Risk/Reward: 1:4
```
### Setup #2: UTAD SELL
```
Entry Conditions:
1. Clear trading range identified (after uptrend)
2. Price breaks ABOVE resistance
3. Often high volume spike
4. Price reverses QUICKLY
5. Closes BELOW resistance level
Entry: Next bar or on retest
Stop: Above UTAD high
Target: Bottom of range (minimum)
Example:
Resistance: $200
UTAD high: $205 (spike)
Close: $198
Entry: $197
Stop: $206
Target: $180 (range bottom)
Risk/Reward: 1:2
```
### Setup #3: SOS BREAKOUT
```
Entry Conditions:
1. Clear accumulation range
2. Spring already occurred (ideal)
3. Price breaks ABOVE resistance
4. HIGH volume on breakout
5. Wide spread up bar
Entry Option A: On breakout ($120)
Entry Option B: Wait for LPS pullback ($115)
Stop: Below range or LPS
Target: Range height projected up
Example:
Range: $100-$120 (20 points)
SOS breakout: $120
Entry A: $120
Stop: $115
Target 1: $140 (100%)
Target 2: $150 (150%)
```
---
## VSA SPECIFIC PATTERNS
### Pattern 1: No Demand (Weakness)
```
▲
■ Up bar
■ Low volume ◄── KEY
▲ Small body
Context: After uptrend
Meaning: Buyers exhausted
Action: Prepare to sell
```
### Pattern 2: No Supply (Strength)
```
▼
■ Down bar
■ Low volume ◄── KEY
▼ Small body
Context: After downtrend
Meaning: Sellers exhausted
Action: Prepare to buy
```
### Pattern 3: Stopping Volume
```
═ Very high volume
█ Narrow spread ◄── KEY
═ Price not moving
Context: At extremes
Meaning: Absorption
Action: Expect reversal
```
---
## COMMON MISTAKES (What NOT to Do)
### ❌ Mistake 1: Buying Prematurely
```
WRONG:
SC
▼
█ ← DON'T BUY HERE
CORRECT:
Spring
─────╨─────
▼
█ ← BUY HERE
▲
```
### ❌ Mistake 2: Ignoring Volume
```
WRONG: "It broke below support, must be spring"
─────╨───── High volume
█
This is a BREAKDOWN, not a spring!
CORRECT Spring:
─────╨───── LOW volume ✓
■ Quick reversal ✓
▲
```
### ❌ Mistake 3: Trading Against Trend
```
WRONG:
Markdown Phase E
╲
╲ ← Trying to buy here
╲
╲
CORRECT:
Wait for new accumulation to complete
```
---
## MULTI-TIMEFRAME EXAMPLE
### Weekly Chart: Phase E Markup (Bullish)
```
╱
╱
╱ Long-term uptrend
╱
───╱─────
```
### Daily Chart: Re-Accumulation Phase C
```
┌─────────┐
│ Spring │ ← We are here
│ ▼ │
─────┴────█────┴─────
▲
```
### 4-Hour Chart: Entry Timing
```
Last 48 hours:
─────╨───── Spring occurred
█
▲ ← Enter now
■
```
**Result:** Triple confirmation across timeframes = High probability trade
---
## PROFIT TARGETS (Visual Guide)
### Method 1: Basic Measured Move
```
Resistance: 120 ┐ ─────────
│
│ 20 points
│
Support: 100 ┘ ─────────
Breakout: 120
Target: 120 + 20 = 140
╱╱╱ 140 (Target)
╱╱╱
╱╱╱
──────◄ 120 (Breakout)
│
Range │ 20
│
──────┘ 100
```
### Method 2: Multiple Targets
```
╱╱╱ 150 (Target 3: 2.5x) - 20% position
╱╱╱
╱╱╱ 140 (Target 2: 2x) - 30% position
╱╱╱
─────◄╱ 130 (Target 1: 1x) - 50% position
│
10 │ 120 (Breakout)
│
─────┘ 110 (Support)
```
### Method 3: Trailing Stop
```
1. Move stop to breakeven at Target 1
2. Trail stop under swing lows
3. Let winners run
╱╱╱
╱ ╱╱ ← Trail stop here
╱╱ ╱
╱ ╱ ← Then here
─────◄──╱
← Start here (breakeven)
```
---
## TIMING ENTRIES (Exact Bar Patterns)
### Perfect Spring Entry
```
Bar 1: ▼ Breaks below (Low vol)
█
Bar 2: ▲ Reverses (Closes strong)
█ ◄─ ENTER HERE
Bar 3: ■ Confirms
▲
DON'T WAIT for Bar 3!
Enter on Bar 2 close
```
### Perfect UTAD Entry
```
Bar 1: ▲ Breaks above (Spike vol OK)
█
Bar 2: ▼ Reverses (Closes weak)
█ ◄─ ENTER HERE
Bar 3: ■ Confirms
▼
SHORT on Bar 2 close
Don't wait for more confirmation
```
---
## COMPOSITE OPERATOR PSYCHOLOGY
### What Smart Money Does (Follow Them)
**Accumulation:**
```
1. Create fear (PS, SC)
2. Shake out weak hands (Spring)
3. Absorb supply quietly (Phase B)
4. Test for remaining supply (Test)
5. Mark it up (SOS → Phase E)
💰 They buy LOW when retail panics
```
**Distribution:**
```
1. Create euphoria (PSY, BC)
2. Trap late buyers (UTAD)
3. Distribute to buyers (Phase B)
4. Test for remaining demand (ST)
5. Mark it down (SOW → Phase E)
💰 They sell HIGH when retail buys
```
### Where to Look for Smart Money
```
💰 Buy signals appear at:
- Demand zones (green boxes)
- Springs and shakeouts
- Tests of support
- After selling climax
💰 Sell signals appear at:
- Supply zones (red boxes)
- UTAD and upthrusts
- Weak rallies (LPSY)
- After buying climax
```
---
## PRACTICE EXERCISES
### Exercise 1: Identify the Phase
Look at any chart and ask:
1. Is there a trading range? (Phase B likely)
2. Did we just stop a trend? (Phase A)
3. Was there a spring/UTAD? (Phase C)
4. Is there a breakout? (Phase D)
5. Is trend running? (Phase E)
### Exercise 2: Volume Analysis
For each bar, note:
- Volume level (High/Normal/Low)
- Spread (Wide/Normal/Narrow)
- Effort vs Result (Matching? Diverging?)
### Exercise 3: Find Historical Springs
Go back 6 months:
- Mark all springs you can find
- Note the setup before each
- Track what happened after
- Calculate win rate
---
## FINAL VISUALIZATION: The Complete Cycle
```
ACCUMULATION → MARKUP → DISTRIBUTION → MARKDOWN → ACCUMULATION...
Distribution Accumulation
(Top) (Bottom)
┌───────────────┐ ┌───────────────┐
│ BC UTAD │ │ Spring SC │
│ │ │ │ │ │ │ │
────┴───┴───┴───────┴─╲ ╱────────┴───┴───┴────
╲ ╱
Markdown ╲ ╱ Markup
(Phase E) ╲ ╱ (Phase E)
╲ ╱
╲ ╱
╲ ╱
╲ ╱
V
The market cycles endlessly
Your job: Identify where you are in the cycle
Trade accordingly
```
---
**Remember:**
- 📊 Study charts daily
- 📝 Journal every setup
- 🎯 Wait for the best signals
- 💰 Follow smart money
- ⏰ Be patient
- 🚀 Let winners run
**The indicator does the heavy lifting - you make the decisions!**
PEAD ScreenerPEAD Screener - Post-Earnings Announcement Drift Scanner
═══════════════════════════════════════════════════════════════
WHY EARNINGS ANNOUNCEMENTS CREATE OPPORTUNITY
═══════════════════════════════════════════════════════════════
The days immediately following an earnings announcement are among the noisiest periods for any stock. Within hours, the market must digest new information about a company's profits, revenue, and future outlook. Analysts scramble to update their models. Institutions rebalance positions. Retail traders react to headlines.
This chaos creates a well-documented phenomenon called Post-Earnings Announcement Drift (PEAD): stocks that beat expectations tend to keep rising, while those that miss tend to keep falling - often for weeks after the initial announcement. Academic research has confirmed this pattern persists across decades and markets.
But not every earnings surprise is equal. A company that beats estimates by 5 cents might move very differently than one that beats by 5 cents with unusually high volume, or one where both earnings AND revenue exceeded expectations. Raw numbers alone don't tell the full story.
═══════════════════════════════════════════════════════════════
HOW "STANDARDIZED UNEXPECTED" METRICS CUT THROUGH THE NOISE
═══════════════════════════════════════════════════════════════
This screener uses a statistical technique to measure how "surprising" a result truly is - not just whether it beat or missed, but how unusual that beat or miss was compared to the company's own history.
The core idea: convert raw surprises into Z-scores.
A Z-score answers the question: "How many standard deviations away from normal is this result?"
- A Z-score of 0 means the result was exactly average
- A Z-score of +2 means the result was unusually high (better than ~95% of historical results)
- A Z-score of -2 means the result was unusually low
By standardizing surprises this way, we can compare apples to apples. A small-cap biotech's $0.02 beat might actually be more significant than a mega-cap's $0.50 beat, once we account for each company's typical variability.
This screener applies this standardization to three dimensions: earnings (SUE), revenue (SURGE), and volume (SUV).
═══════════════════════════════════════════════════════════════
THE 9 SCREENING CRITERIA
═══════════════════════════════════════════════════════════════
─────────────────────────────────────────
1. SUE (Standardized Unexpected Earnings)
─────────────────────────────────────────
WHAT IT IS:
SUE measures how surprising an earnings result was, adjusted for the company's historical forecast accuracy.
Calculation: Take the earnings surprise (actual EPS minus analyst estimate), then divide by the standard deviation of past forecast errors. This uses a rolling window of the last 8 quarters by default.
Formula: SUE = (Actual EPS - Estimated EPS) / Standard Deviation of Past Errors
HOW TO INTERPRET:
- SUE > +2.0: Strongly positive surprise - earnings beat expectations by an unusually large margin. These stocks often continue drifting higher.
- SUE between 0 and +2.0: Modest positive surprise - beat expectations, but within normal range.
- SUE between -2.0 and 0: Modest negative surprise - missed expectations, but within normal range.
- SUE < -2.0: Strongly negative surprise - significant miss. These stocks often continue drifting lower.
For long positions, look for SUE values above +2.0, ideally combined with positive SURGE.
─────────────────────────────────────────
2. SURGE (Standardized Unexpected Revenue)
─────────────────────────────────────────
WHAT IT IS:
SURGE applies the same standardization technique to revenue surprises. While earnings can be manipulated through accounting choices, revenue is harder to fake - it represents actual sales.
Calculation: Take the revenue surprise (actual revenue minus analyst estimate), then divide by the standard deviation of past revenue forecast errors.
Formula: SURGE = (Actual Revenue - Estimated Revenue) / Standard Deviation of Past Errors
HOW TO INTERPRET:
- SURGE > +1.5: Strongly positive revenue surprise - the company sold significantly more than expected.
- SURGE between 0 and +1.5: Modest positive surprise.
- SURGE < 0: Revenue missed expectations.
The most powerful signals occur when BOTH SUE and SURGE are positive and elevated (ideally SUE > 2.0 AND SURGE > 1.5). This indicates the company beat on both profitability AND top-line growth - a much stronger signal than either alone.
When SUE and SURGE diverge significantly (e.g., high SUE but negative SURGE), treat with caution - the earnings beat may have come from cost-cutting rather than genuine growth.
─────────────────────────────────────────
3. SUV (Standardized Unexpected Volume)
─────────────────────────────────────────
WHAT IT IS:
SUV detects unusual trading volume after accounting for how volatile the stock is. More volatile stocks naturally have higher volume, so raw volume comparisons can be misleading.
Calculation: This uses regression analysis to model the expected relationship between price volatility and volume. The "unexpected" volume is the residual - how much actual volume deviated from what the model predicted. This residual is then standardized into a Z-score.
In plain terms: SUV asks "Given how much this stock typically moves, is today's volume unusually high or low?"
HOW TO INTERPRET:
- SUV > +2.0: Exceptionally high volume relative to the stock's volatility. This often signals institutional activity - big players moving in or out.
- SUV between +1.0 and +2.0: Elevated volume - above normal interest.
- SUV between -1.0 and +1.0: Normal volume range.
- SUV < -1.0: Unusually quiet - less activity than expected.
High SUV combined with positive price movement suggests accumulation (buying). High SUV combined with negative price movement suggests distribution (selling).
─────────────────────────────────────────
4. % From D0 Close
─────────────────────────────────────────
WHAT IT IS:
This measures how far the current price has moved from the closing price on its initial earnings reaction day (D0). The "reaction day" is the first trading day that fully reflects the earnings news - typically the day after an after-hours announcement, or the announcement day itself for pre-market releases.
Calculation: ((Current Price - D0 Close) / D0 Close) × 100
HOW TO INTERPRET:
- Positive values: Stock has gained ground since earnings. The higher the percentage, the stronger the post-earnings drift.
- 0% to +5%: Modest positive drift - earnings were received well but momentum is limited.
- +5% to +15%: Strong drift - buyers continue accumulating.
- > +15%: Exceptional drift - significant institutional interest likely.
- Negative values: Stock has given back gains or extended losses since earnings. May indicate the initial reaction was overdone, or that sentiment is deteriorating.
This metric is most meaningful within the first 5-20 trading days after earnings. Extended drift (maintaining gains over 2+ weeks) is a stronger signal than a quick spike that fades.
─────────────────────────────────────────
5. # Pocket Pivots
─────────────────────────────────────────
WHAT IT IS:
Pocket Pivots are a volume-based pattern developed by Chris Kacher and Gil Morales. They identify days where institutional buyers are likely accumulating shares without causing obvious breakouts.
Calculation: A Pocket Pivot occurs when:
- The stock closes higher than it opened (up day)
- The stock closes higher than the previous day's close
- Today's volume exceeds the highest down-day volume of the prior 10 trading sessions
The screener counts how many Pocket Pivots have occurred since the earnings announcement.
HOW TO INTERPRET:
- 0 Pocket Pivots: No detected institutional accumulation patterns since earnings.
- 1-2 Pocket Pivots: Some institutional buying interest - worth monitoring.
- 3+ Pocket Pivots: Strong accumulation signal - institutions appear to be building positions.
Pocket Pivots are most significant when they occur:
- Immediately following earnings announcements
- Near moving average support (10-day, 21-day, or 50-day)
- On above-average volume
- After a period of price consolidation
Multiple Pocket Pivots in a short period suggest sustained institutional demand, not just a one-day event.
─────────────────────────────────────────
6. ADX/DI (Trend Strength and Direction)
─────────────────────────────────────────
WHAT IT IS:
ADX (Average Directional Index) measures trend strength regardless of direction. DI (Directional Indicator) shows whether the trend is bullish or bearish.
Calculation: ADX uses a 14-period lookback to measure how directional (trending) price movement is. Values range from 0 to 100. The +DI and -DI components compare upward and downward movement.
The screener shows:
- ADX value (trend strength)
- Direction indicator: "+" for bullish (price trending up), "-" for bearish (price trending down)
HOW TO INTERPRET:
- ADX < 20: Weak trend - the stock is moving sideways, choppy. Not ideal for momentum trading.
- ADX 20-25: Trend is emerging - potentially starting a directional move.
- ADX 25-40: Strong trend - clear directional movement. Good for momentum plays.
- ADX > 40: Very strong trend - powerful move in progress, but may be extended.
The direction indicator (+/-) tells you which way:
- "25+" means ADX of 25 with bullish direction (uptrend)
- "25-" means ADX of 25 with bearish direction (downtrend)
For post-earnings plays, ideal setups show ADX rising above 25 with positive direction, confirming the earnings reaction is developing into a sustained trend rather than a one-day spike.
─────────────────────────────────────────
7. Institutional Buying PASS
─────────────────────────────────────────
WHAT IT IS:
This proprietary composite indicator detects patterns consistent with institutional accumulation at three stages after earnings:
EARLY (Days 0-4): Looks for "large block" buying on the earnings reaction day (exceptionally high volume with a close in the upper half of the day's range) combined with follow-through buying on the next day.
MID (Days 5-9): Checks for sustained elevated volume (averaging 1.5x the 20-day average) combined with positive drift and consistent upward price movement (more up days than down days).
LATE (Days 10+): Detects either visible accumulation (positive drift with high volume) OR stealth accumulation (positive drift with unusually LOW volume - suggesting smart money is quietly building positions without attracting attention).
HOW TO INTERPRET:
- Check mark/value of '1': Institutional buying pattern detected. The stock shows characteristics consistent with large players accumulating shares.
- X mark/value of '0': No institutional buying pattern detected. This doesn't mean institutions aren't buying - just that the typical footprints aren't visible.
A passing grade here adds conviction to other bullish signals. Institutions have research teams, information advantages, and long time horizons. When their footprints appear in the data, it often precedes sustained moves.
Important: This is a pattern detection tool, not a guarantee. Always combine with other analysis.
─────────────────────────────────────────
8. Strong ATR Drift PASS
─────────────────────────────────────────
WHAT IT IS:
This measures whether the stock has drifted significantly relative to its own volatility. Instead of asking "did it move 10%?", it asks "did it move more than 1.5 ATRs?"
ATR (Average True Range) measures a stock's typical daily movement. A volatile stock might move 5% daily, while a stable stock might move 0.5%. Using ATR normalizes for this difference.
Calculation:
ATR Drift = (Current Close - D0 Close) / D0 ATR in dollars
The indicator passes when ATR Drift exceeds 1.5 AND at least 5 days have passed since earnings.
HOW TO INTERPRET:
- Check mark/value of '1': The stock has drifted more than 1.5 times its average daily range since earnings - a statistically significant move that suggests genuine momentum, not just noise.
- X mark/value of '0': The drift (if any) is within normal volatility bounds - could just be random fluctuation.
Why wait 5 days? The immediate post-earnings reaction (days 0-2) often includes gap fills and noise. By day 5, if the stock is still extended beyond 1.5 ATRs from the earnings close, it suggests real buying pressure, not just a reflexive gap.
A passing grade here helps filter out stocks that "beat earnings" but haven't actually moved meaningfully. It focuses attention on stocks where the market is voting with real capital.
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9. Days Since D0
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WHAT IT IS:
Simply counts the number of trading days since the earnings reaction day (D0).
HOW TO INTERPRET:
- Days 0-5 (Green): Fresh earnings - the information is new, institutional repositioning is active, and momentum trades are most potent. This is the "sweet spot" for PEAD strategies.
- Days 6-10 (Neutral): Mid-period - some edge remains but diminishing. Good for adding to winning positions, less ideal for new entries.
- Days 11+ (Red): Extended period - most of the post-earnings drift has typically played out. Higher risk that momentum fades or reverses.
Research shows PEAD effects are strongest in the first 5-10 days after earnings, then decay. Beyond 20-30 days, the informational advantage of the earnings surprise is largely priced in.
Use this to prioritize: focus on stocks with strong signals that are still in the early window, and be more selective about entries as days accumulate.
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PUTTING IT ALL TOGETHER
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You can use this screener in the chart view or in the Screener.
One combination of the above filters to develop a shortlist of positive drift candidates may be:
- SUE > 2.0 (significant earnings beat)
- SURGE > 1.5 (significant revenue beat)
- Positive % From D0 Close (price confirming the good news)
- Institutional Buying PASS (big players accumulating)
- Strong ATR Drift PASS (statistically significant movement)
- Days Since D0 < 10 (still in the active drift window)
No single indicator is sufficient. The power comes from convergence - when multiple independent measures all point the same direction.
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SETTINGS
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Key adjustable parameters:
- SUE Method: "Analyst-based" uses consensus estimates; "Time-series" uses year-over-year comparison
- Window Size: Number of quarters used for standardization (default: 8)
- ATR Drift Threshold: Minimum ATR multiple for "strong" classification (default: 1.5)
- Institutional Buying thresholds: Adjustable volume and CLV parameters
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DISCLAIMER
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This screener is a research tool, not financial advice. Past patterns do not guarantee future results. Always conduct your own due diligence and manage risk appropriately. Post-earnings trading involves significant uncertainty and volatility. The 'SUE' in this indicator does not represent a real person; any similarity to actual Sue's (or Susans for that matter) living or dead is quite frankly ridiculous, not to mention coincidental.
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis.
This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality:
🎯 Core Features
1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles:
MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends
MA5 (21 EMA): Short-term anchor - critical pivot point
MA6 (34 EMA): Intermediate support/resistance
MA7 (50 EMA): Medium-term bridge between short and long trends
MA8-MA9 (89, 100): Transition zone indicators
MA10-MA11 (150, 200): Long-term anchors for major trend identification
Each MA is fully customizable:
Type: SMA, EMA, WMA, TMA, RMA
Color, width, and enable/disable toggle
📊 Signal Generation System
Three Signal Tiers: Short-Term Signals (ST)
Trigger: MA8 (EMA 8) crossing MA21 (EMA 21)
Filters Applied:
✅ ATR-based post-cross confirmation (optional)
✅ Momentum confirmation (RSI > 50, MACD positive)
✅ Volume spike requirement
✅ HTF (Higher Timeframe) alignment
✅ Strong candle body ratio (>50%)
✅ Multi-MA confirmation (3+ MAs supporting direction)
✅ Price beyond MA21 with conviction
✅ Minimum bar spacing (prevents signal clustering)
✅ Consolidation filter
✅ Whipsaw protection (ATR-based price threshold)
Medium-Term Signals (MT)
Trigger: MA21 crossing MA50
Less strict filtering for swing trades
Major Signals
Golden Cross: MA50 crossing above MA200 (major bullish)
Death Cross: MA50 crossing below MA200 (major bearish)
🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover
This prevents false signals during low-volatility consolidation.2. Momentum Filters
RSI (14)
MACD Histogram
Rate of Change (ROC)
Composite momentum score (-3 to +3)
3. Volume Analysis
Volume spike detection (2x MA)
Volume classification: LOW, MED, HIGH, EXPL
Directional volume confirmation
4. Higher Timeframe Alignment
HTF1: 60-minute (default)
HTF2: 4-hour (optional)
HTF3: Daily (optional)
Signals only trigger when current TF aligns with HTF trend
5. Market Structure Detection
Break of Structure (BOS): Price breaking recent swing highs/lows
Order Blocks (OB): Institutional demand/supply zones
Fair Value Gaps (FVG): Imbalance areas for potential fills
📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional):
Price Distance from Key MAs
vs MA21, MA50, MA200 (percentage)
Color-coded: green (above), red (below)
MA Alignment Score
Calculates % of MAs in proper order
🟢 for bullish alignment, 🔴 for bearish
Trend Strength
Based on separation between MA21 and MA200
NONE/WEAK/MODERATE/STRONG/EXTREME
Consolidation Detection
Identifies low-volatility ranges
Prevents signals during sideways markets
⚙️ Customization OptionsFilter Toggles:
☑️ Require Momentum
☑️ Require Volume
☑️ Require HTF Alignment
☑️ Use ATR post-cross confirmation
☑️ Whipsaw filter
Min bars between signals (default: 5)
Dashboard Styling:
9 position options
6 text sizes
Custom colors for header, rows, and text
Toggle individual metrics on/off
🎨 Visual Elements
Signal Labels:
ST▲/ST▼ (green/red) - Short-term
MT▲/MT▼ (blue/orange) - Medium-term
GOLDEN CROSS / DEATH CROSS - Major signals
Volume Spikes:
Small labels showing volume class + direction
Example: "HIGH🟢" or "EXPL🔴"
Market Structure:
Dashed lines for Break of Structure levels
Automatic detection of swing highs/lows
🔔 Alert Conditions
Pre-configured alerts for:
Short-term bullish/bearish crosses
Medium-term bullish/bearish crosses
Golden Cross / Death Cross
Volume spikes
💡 Key Strengths
Institutional-Grade Filtering: Multiple confirmation layers reduce false signals
Multi-Timeframe Analysis: Ensures alignment across timeframes
Adaptive to Market Conditions: ATR-based thresholds adjust to volatility
Comprehensive Dashboard: All critical metrics in one view
Highly Customizable: 100+ input parameters
Signal Quality Over Quantity: Strict filters prioritize high-probability setups
⚠️ Usage Recommendations
Best for: Swing trading and position trading
Timeframes: Works on all TFs, optimized for 15m-Daily
Markets: Stocks, Forex, Crypto, Indices
Signal Frequency: Conservative (quality over quantity)
Combine with: Support/resistance, price action, risk management
🔧 Technical Implementation Notes
Uses Pine Script v6 syntax
Efficient calculation with minimal repainting
Maximum 500 labels for performance
Security function for HTF data (no lookahead bias)
Array-based MA alignment calculation
State variables to track signal spacing
This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment).
The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
Trend Vector Pro v2.0Trend Vector Pro v2.0
👨💻 Developed by: Mohammed Bedaiwi
💡 Strategy Overview & Coherence
Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework.
Instead of stacking random indicators, TVPro is built around these integrated components:
A custom momentum engine (signal generation)
An optional ADX filter (trend quality control)
Daily Pivot Points (context, targets & S/R)
Swing-based “Golden Bar” trailing stops (trade management)
Optional extended bar detection (overextension alerts)
All parts are designed to work together and are documented below to address originality & usefulness requirements.
🔍 Core Components & Justification
1. Custom Momentum Engine (Main Signal Source)
TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise.
2. ADX Filter (Trend Strength Validation – Optional)
Uses Average Directional Index (ADX) as a gatekeeper.
Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength.
3. Classic Pivot Points (Context & Targets)
Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data.
Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup.
🧭 Trend State Logic (5-State Bar Coloring)
The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map:
🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse.
🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone.
🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse.
🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone.
🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility.
🎯 Signal Logic Modes
TVPro provides two selectable entry styles, controlled by input:
Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading.
All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades.
📌 Risk Management Tools
🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure.
Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely.
Pivot Points: Used as external targets for Take Profit and structural stop placement.
⚙️ Strategy Defaults (Crucial for Publication Compliance)
To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings:
Order Size: 5% of equity per trade ( default_qty_value = 5 )
Commission: 0.04% per order ( commission_value = 0.04 )
Slippage: 2 ticks ( slippage = 2 )
Initial Capital: 10,000
📘 How to Trade with Trend Vector Pro
Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state).
Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level.
Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure.
Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints.
🛑 Disclaimer
This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Trinity Ultimate 10 MA Ribbons)I got tired of trying to find a multi MA ribbon that could also color change and allow different types, if it exists then I could not find it... So here it is...
The **Trinity Ultimate 10 MA Ribbon** is a highly customizable, professional-grade moving average ribbon that combines extreme flexibility with beautiful visual feedback. Designed for traders who want full control without sacrificing clarity, it allows you to build a ribbon using up to ten completely independent moving averages — each with its own length, type, color, thickness, and visibility setting — while automatically coloring both the lines and the fills according to bullish or bearish conditions.
### Key Features
- Ten fully independent moving averages that can be mixed and matched exactly as you want.
- Each MA has its own selectable type: EMA (default), SMA, WMA, HMA, RMA, VWMA, or ALMA — perfect for combining fast EMAs with a slow HMA or a classic 200-period SMA.
- Every single MA line automatically changes color in real time: bright green when price is above the MA (bullish) and red when price is below the MA (bearish), making trend strength instantly visible across all timeframes.
- Smart, reactive ribbon fills that appear only between consecutive enabled MAs. Turn any MA on or off and the fills instantly adjust — no gaps, no broken bands, no manual rework.
- Nine layered fills with individually adjustable transparency (default is gradually increasing transparency from the fastest to the slowest MA), creating a smooth, depth-like ribbon effect that looks stunning on any chart background.
- Fill color itself is dynamic: green for bullish candles (close > open) and red for bearish candles, or you can customize both colors to any shade you prefer.
- Full control over every visual element: base colors, line thickness (1–10), lengths, and show/hide toggles for each of the ten MAs.
- Clean and lightweight code that compiles instantly in Pine Script v5 and works on all markets and timeframes without lag.
In short, this is the most flexible and visually informative moving-average ribbon available on TradingView today. Whether you want a classic 9-EMA ribbon, a Guppy-style multiple-timeframe setup, a hybrid EMA/HMA mix, or just three or four key levels, the indicator adapts perfectly while always telling you at a glance where the bulls and bears are in control.
Adaptive Genesis Engine [AGE]ADAPTIVE GENESIS ENGINE (AGE)
Pure Signal Evolution Through Genetic Algorithms
Where Darwin Meets Technical Analysis
🧬 WHAT YOU'RE GETTING - THE PURE INDICATOR
This is a technical analysis indicator - it generates signals, visualizes probability, and shows you the evolutionary process in real-time. This is NOT a strategy with automatic execution - it's a sophisticated signal generation system that you control .
What This Indicator Does:
Generates Long/Short entry signals with probability scores (35-88% range)
Evolves a population of up to 12 competing strategies using genetic algorithms
Validates strategies through walk-forward optimization (train/test cycles)
Visualizes signal quality through premium gradient clouds and confidence halos
Displays comprehensive metrics via enhanced dashboard
Provides alerts for entries and exits
Works on any timeframe, any instrument, any broker
What This Indicator Does NOT Do:
Execute trades automatically
Manage positions or calculate position sizes
Place orders on your behalf
Make trading decisions for you
This is pure signal intelligence. AGE tells you when and how confident it is. You decide whether and how much to trade.
🔬 THE SCIENCE: GENETIC ALGORITHMS MEET TECHNICAL ANALYSIS
What Makes This Different - The Evolutionary Foundation
Most indicators are static - they use the same parameters forever, regardless of market conditions. AGE is alive . It maintains a population of competing strategies that evolve, adapt, and improve through natural selection principles:
Birth: New strategies spawn through crossover breeding (combining DNA from fit parents) plus random mutation for exploration
Life: Each strategy trades virtually via shadow portfolios, accumulating wins/losses, tracking drawdown, and building performance history
Selection: Strategies are ranked by comprehensive fitness scoring (win rate, expectancy, drawdown control, signal efficiency)
Death: Weak strategies are culled periodically, with elite performers (top 2 by default) protected from removal
Evolution: The gene pool continuously improves as successful traits propagate and unsuccessful ones die out
This is not curve-fitting. Each new strategy must prove itself on out-of-sample data through walk-forward validation before being trusted for live signals.
🧪 THE DNA: WHAT EVOLVES
Every strategy carries a 10-gene chromosome controlling how it interprets market data:
Signal Sensitivity Genes
Entropy Sensitivity (0.5-2.0): Weight given to market order/disorder calculations. Low values = conservative, require strong directional clarity. High values = aggressive, act on weaker order signals.
Momentum Sensitivity (0.5-2.0): Weight given to RSI/ROC/MACD composite. Controls responsiveness to momentum shifts vs. mean-reversion setups.
Structure Sensitivity (0.5-2.0): Weight given to support/resistance positioning. Determines how much price location within swing range matters.
Probability Adjustment Genes
Probability Boost (-0.10 to +0.10): Inherent bias toward aggressive (+) or conservative (-) entries. Acts as personality trait - some strategies naturally optimistic, others pessimistic.
Trend Strength Requirement (0.3-0.8): Minimum trend conviction needed before signaling. Higher values = only trades strong trends, lower values = acts in weak/sideways markets.
Volume Filter (0.5-1.5): Strictness of volume confirmation. Higher values = requires strong volume, lower values = volume less important.
Risk Management Genes
ATR Multiplier (1.5-4.0): Base volatility scaling for all price levels. Controls whether strategy uses tight or wide stops/targets relative to ATR.
Stop Multiplier (1.0-2.5): Stop loss tightness. Lower values = aggressive profit protection, higher values = more breathing room.
Target Multiplier (1.5-4.0): Profit target ambition. Lower values = quick scalping exits, higher values = swing trading holds.
Adaptation Gene
Regime Adaptation (0.0-1.0): How much strategy adjusts behavior based on detected market regime (trending/volatile/choppy). Higher values = more reactive to regime changes.
The Magic: AGE doesn't just try random combinations. Through tournament selection and fitness-weighted crossover, successful gene combinations spread through the population while unsuccessful ones fade away. Over 50-100 bars, you'll see the population converge toward genes that work for YOUR instrument and timeframe.
📊 THE SIGNAL ENGINE: THREE-LAYER SYNTHESIS
Before any strategy generates a signal, AGE calculates probability through multi-indicator confluence:
Layer 1 - Market Entropy (Information Theory)
Measures whether price movements exhibit directional order or random walk characteristics:
The Math:
Shannon Entropy = -Σ(p × log(p))
Market Order = 1 - (Entropy / 0.693)
What It Means:
High entropy = choppy, random market → low confidence signals
Low entropy = directional market → high confidence signals
Direction determined by up-move vs down-move dominance over lookback period (default: 20 bars)
Signal Output: -1.0 to +1.0 (bearish order to bullish order)
Layer 2 - Momentum Synthesis
Combines three momentum indicators into single composite score:
Components:
RSI (40% weight): Normalized to -1/+1 scale using (RSI-50)/50
Rate of Change (30% weight): Percentage change over lookback (default: 14 bars), clamped to ±1
MACD Histogram (30% weight): Fast(12) - Slow(26), normalized by ATR
Why This Matters: RSI catches mean-reversion opportunities, ROC catches raw momentum, MACD catches momentum divergence. Weighting favors RSI for reliability while keeping other perspectives.
Signal Output: -1.0 to +1.0 (strong bearish to strong bullish)
Layer 3 - Structure Analysis
Evaluates price position within swing range (default: 50-bar lookback):
Position Classification:
Bottom 20% of range = Support Zone → bullish bounce potential
Top 20% of range = Resistance Zone → bearish rejection potential
Middle 60% = Neutral Zone → breakout/breakdown monitoring
Signal Logic:
At support + bullish candle = +0.7 (strong buy setup)
At resistance + bearish candle = -0.7 (strong sell setup)
Breaking above range highs = +0.5 (breakout confirmation)
Breaking below range lows = -0.5 (breakdown confirmation)
Consolidation within range = ±0.3 (weak directional bias)
Signal Output: -1.0 to +1.0 (bearish structure to bullish structure)
Confluence Voting System
Each layer casts a vote (Long/Short/Neutral). The system requires minimum 2-of-3 agreement (configurable 1-3) before generating a signal:
Examples:
Entropy: Bullish, Momentum: Bullish, Structure: Neutral → Signal generated (2 long votes)
Entropy: Bearish, Momentum: Neutral, Structure: Neutral → No signal (only 1 short vote)
All three bullish → Signal generated with +5% probability bonus
This is the key to quality. Single indicators give too many false signals. Triple confirmation dramatically improves accuracy.
📈 PROBABILITY CALCULATION: HOW CONFIDENCE IS MEASURED
Base Probability:
Raw_Prob = 50% + (Average_Signal_Strength × 25%)
Then AGE applies strategic adjustments:
Trend Alignment:
Signal with trend: +4%
Signal against strong trend: -8%
Weak/no trend: no adjustment
Regime Adaptation:
Trending market (efficiency >50%, moderate vol): +3%
Volatile market (vol ratio >1.5x): -5%
Choppy market (low efficiency): -2%
Volume Confirmation:
Volume > 70% of 20-bar SMA: no change
Volume below threshold: -3%
Volatility State (DVS Ratio):
High vol (>1.8x baseline): -4% (reduce confidence in chaos)
Low vol (<0.7x baseline): -2% (markets can whipsaw in compression)
Moderate elevated vol (1.0-1.3x): +2% (trending conditions emerging)
Confluence Bonus:
All 3 indicators agree: +5%
2 of 3 agree: +2%
Strategy Gene Adjustment:
Probability Boost gene: -10% to +10%
Regime Adaptation gene: scales regime adjustments by 0-100%
Final Probability: Clamped between 35% (minimum) and 88% (maximum)
Why These Ranges?
Below 35% = too uncertain, better not to signal
Above 88% = unrealistic, creates overconfidence
Sweet spot: 65-80% for quality entries
🔄 THE SHADOW PORTFOLIO SYSTEM: HOW STRATEGIES COMPETE
Each active strategy maintains a virtual trading account that executes in parallel with real-time data:
Shadow Trading Mechanics
Entry Logic:
Calculate signal direction, probability, and confluence using strategy's unique DNA
Check if signal meets quality gate:
Probability ≥ configured minimum threshold (default: 65%)
Confluence ≥ configured minimum (default: 2 of 3)
Direction is not zero (must be long or short, not neutral)
Verify signal persistence:
Base requirement: 2 bars (configurable 1-5)
Adapts based on probability: high-prob signals (75%+) enter 1 bar faster, low-prob signals need 1 bar more
Adjusts for regime: trending markets reduce persistence by 1, volatile markets add 1
Apply additional filters:
Trend strength must exceed strategy's requirement gene
Regime filter: if volatile market detected, probability must be 72%+ to override
Volume confirmation required (volume > 70% of average)
If all conditions met for required persistence bars, enter shadow position at current close price
Position Management:
Entry Price: Recorded at close of entry bar
Stop Loss: ATR-based distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio
Take Profit: ATR-based distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio
Position: +1 (long) or -1 (short), only one at a time per strategy
Exit Logic:
Check if price hit stop (on low) or target (on high) on current bar
Record trade outcome in R-multiples (profit/loss normalized by ATR)
Update performance metrics:
Total trades counter incremented
Wins counter (if profit > 0)
Cumulative P&L updated
Peak equity tracked (for drawdown calculation)
Maximum drawdown from peak recorded
Enter cooldown period (default: 8 bars, configurable 3-20) before next entry allowed
Reset signal age counter to zero
Walk-Forward Tracking:
During position lifecycle, trades are categorized:
Training Phase (first 250 bars): Trade counted toward training metrics
Testing Phase (next 75 bars): Trade counted toward testing metrics (out-of-sample)
Live Phase (after WFO period): Trade counted toward overall metrics
Why Shadow Portfolios?
No lookahead bias (uses only data available at the bar)
Realistic execution simulation (entry on close, stop/target checks on high/low)
Independent performance tracking for true fitness comparison
Allows safe experimentation without risking capital
Each strategy learns from its own experience
🏆 FITNESS SCORING: HOW STRATEGIES ARE RANKED
Fitness is not just win rate. AGE uses a comprehensive multi-factor scoring system:
Core Metrics (Minimum 3 trades required)
Win Rate (30% of fitness):
WinRate = Wins / TotalTrades
Normalized directly (0.0-1.0 scale)
Total P&L (30% of fitness):
Normalized_PnL = (PnL + 300) / 600
Clamped 0.0-1.0. Assumes P&L range of -300R to +300R for normalization scale.
Expectancy (25% of fitness):
Expectancy = Total_PnL / Total_Trades
Normalized_Expectancy = (Expectancy + 30) / 60
Clamped 0.0-1.0. Rewards consistency of profit per trade.
Drawdown Control (15% of fitness):
Normalized_DD = 1 - (Max_Drawdown / 15)
Clamped 0.0-1.0. Penalizes strategies that suffer large equity retracements from peak.
Sample Size Adjustment
Quality Factor:
<50 trades: 1.0 (full weight, small sample)
50-100 trades: 0.95 (slight penalty for medium sample)
100 trades: 0.85 (larger penalty for large sample)
Why penalize more trades? Prevents strategies from gaming the system by taking hundreds of tiny trades to inflate statistics. Favors quality over quantity.
Bonus Adjustments
Walk-Forward Validation Bonus:
if (WFO_Validated):
Fitness += (WFO_Efficiency - 0.5) × 0.1
Strategies proven on out-of-sample data receive up to +10% fitness boost based on test/train efficiency ratio.
Signal Efficiency Bonus (if diagnostics enabled):
if (Signals_Evaluated > 10):
Pass_Rate = Signals_Passed / Signals_Evaluated
Fitness += (Pass_Rate - 0.1) × 0.05
Rewards strategies that generate high-quality signals passing the quality gate, not just profitable trades.
Final Fitness: Clamped at 0.0 minimum (prevents negative fitness values)
Result: Elite strategies typically achieve 0.50-0.75 fitness. Anything above 0.60 is excellent. Below 0.30 is prime candidate for culling.
🔬 WALK-FORWARD OPTIMIZATION: ANTI-OVERFITTING PROTECTION
This is what separates AGE from curve-fitted garbage indicators.
The Three-Phase Process
Every new strategy undergoes a rigorous validation lifecycle:
Phase 1 - Training Window (First 250 bars, configurable 100-500):
Strategy trades normally via shadow portfolio
All trades count toward training performance metrics
System learns which gene combinations produce profitable patterns
Tracks independently: Training_Trades, Training_Wins, Training_PnL
Phase 2 - Testing Window (Next 75 bars, configurable 30-200):
Strategy continues trading without any parameter changes
Trades now count toward testing performance metrics (separate tracking)
This is out-of-sample data - strategy has never seen these bars during "optimization"
Tracks independently: Testing_Trades, Testing_Wins, Testing_PnL
Phase 3 - Validation Check:
Minimum_Trades = 5 (configurable 3-15)
IF (Train_Trades >= Minimum AND Test_Trades >= Minimum):
WR_Efficiency = Test_WinRate / Train_WinRate
Expectancy_Efficiency = Test_Expectancy / Train_Expectancy
WFO_Efficiency = (WR_Efficiency + Expectancy_Efficiency) / 2
IF (WFO_Efficiency >= 0.55): // configurable 0.3-0.9
Strategy.Validated = TRUE
Strategy receives fitness bonus
ELSE:
Strategy receives 30% fitness penalty
ELSE:
Validation deferred (insufficient trades in one or both periods)
What Validation Means
Validated Strategy (Green "✓ VAL" in dashboard):
Performed at least 55% as well on unseen data compared to training data
Gets fitness bonus: +(efficiency - 0.5) × 0.1
Receives priority during tournament selection for breeding
More likely to be chosen as active trading strategy
Unvalidated Strategy (Orange "○ TRAIN" in dashboard):
Failed to maintain performance on test data (likely curve-fitted to training period)
Receives 30% fitness penalty (0.7x multiplier)
Makes strategy prime candidate for culling
Can still trade but with lower selection probability
Insufficient Data (continues collecting):
Hasn't completed both training and testing periods yet
OR hasn't achieved minimum trade count in both periods
Validation check deferred until requirements met
Why 55% Efficiency Threshold?
If a strategy earned 10R during training but only 5.5R during testing, it still proved an edge exists beyond random luck. Requiring 100% efficiency would be unrealistic - market conditions change between periods. But requiring >50% ensures the strategy didn't completely degrade on fresh data.
The Protection: Strategies that work great on historical data but fail on new data are automatically identified and penalized. This prevents the population from being polluted by overfitted strategies that would fail in live trading.
🌊 DYNAMIC VOLATILITY SCALING (DVS): ADAPTIVE STOP/TARGET PLACEMENT
AGE doesn't use fixed stop distances. It adapts to current volatility conditions in real-time.
Four Volatility Measurement Methods
1. ATR Ratio (Simple Method):
Current_Vol = ATR(14) / Close
Baseline_Vol = SMA(Current_Vol, 100)
Ratio = Current_Vol / Baseline_Vol
Basic comparison of current ATR to 100-bar moving average baseline.
2. Parkinson (High-Low Range Based):
For each bar: HL = log(High / Low)
Parkinson_Vol = sqrt(Σ(HL²) / (4 × Period × log(2)))
More stable than close-to-close volatility. Captures intraday range expansion without overnight gap noise.
3. Garman-Klass (OHLC Based):
HL_Term = 0.5 × ²
CO_Term = (2×log(2) - 1) × ²
GK_Vol = sqrt(Σ(HL_Term - CO_Term) / Period)
Most sophisticated estimator. Incorporates all four price points (open, high, low, close) plus gap information.
4. Ensemble Method (Default - Median of All Three):
Ratio_1 = ATR_Current / ATR_Baseline
Ratio_2 = Parkinson_Current / Parkinson_Baseline
Ratio_3 = GK_Current / GK_Baseline
DVS_Ratio = Median(Ratio_1, Ratio_2, Ratio_3)
Why Ensemble?
Takes median to avoid outliers and false spikes
If ATR jumps but range-based methods stay calm, median prevents overreaction
If one method fails, other two compensate
Most robust approach across different market conditions
Sensitivity Scaling
Scaled_Ratio = (Raw_Ratio) ^ Sensitivity
Sensitivity 0.3: Cube root - heavily dampens volatility impact
Sensitivity 0.5: Square root - moderate dampening
Sensitivity 0.7 (Default): Balanced response to volatility changes
Sensitivity 1.0: Linear - full 1:1 volatility impact
Sensitivity 1.5: Exponential - amplified response to volatility spikes
Safety Clamps: Final DVS Ratio always clamped between 0.5x and 2.5x baseline to prevent extreme position sizing or stop placement errors.
How DVS Affects Shadow Trading
Every strategy's stop and target distances are multiplied by the current DVS ratio:
Stop Loss Distance:
Stop_Distance = ATR × ATR_Mult (gene) × Stop_Mult (gene) × DVS_Ratio
Take Profit Distance:
Target_Distance = ATR × ATR_Mult (gene) × Target_Mult (gene) × DVS_Ratio
Example Scenario:
ATR = 10 points
Strategy's ATR_Mult gene = 2.5
Strategy's Stop_Mult gene = 1.5
Strategy's Target_Mult gene = 2.5
DVS_Ratio = 1.4 (40% above baseline volatility - market heating up)
Stop = 10 × 2.5 × 1.5 × 1.4 = 52.5 points (vs. 37.5 in normal vol)
Target = 10 × 2.5 × 2.5 × 1.4 = 87.5 points (vs. 62.5 in normal vol)
Result:
During volatility spikes: Stops automatically widen to avoid noise-based exits, targets extend for bigger moves
During calm periods: Stops tighten for better risk/reward, targets compress for realistic profit-taking
Strategies adapt risk management to match current market behavior
🧬 THE EVOLUTIONARY CYCLE: SPAWN, COMPETE, CULL
Initialization (Bar 1)
AGE begins with 4 seed strategies (if evolution enabled):
Seed Strategy #0 (Balanced):
All sensitivities at 1.0 (neutral)
Zero probability boost
Moderate trend requirement (0.4)
Standard ATR/stop/target multiples (2.5/1.5/2.5)
Mid-level regime adaptation (0.5)
Seed Strategy #1 (Momentum-Focused):
Lower entropy sensitivity (0.7), higher momentum (1.5)
Slight probability boost (+0.03)
Higher trend requirement (0.5)
Tighter stops (1.3), wider targets (3.0)
Seed Strategy #2 (Entropy-Driven):
Higher entropy sensitivity (1.5), lower momentum (0.8)
Slight probability penalty (-0.02)
More trend tolerant (0.6)
Wider stops (1.8), standard targets (2.5)
Seed Strategy #3 (Structure-Based):
Balanced entropy/momentum (0.8/0.9), high structure (1.4)
Slight probability boost (+0.02)
Lower trend requirement (0.35)
Moderate risk parameters (1.6/2.8)
All seeds start with WFO validation bypassed if WFO is disabled, or must validate if enabled.
Spawning New Strategies
Timing (Adaptive):
Historical phase: Every 30 bars (configurable 10-100)
Live phase: Every 200 bars (configurable 100-500)
Automatically switches to live timing when barstate.isrealtime triggers
Conditions:
Current population < max population limit (default: 8, configurable 4-12)
At least 2 active strategies exist (need parents)
Available slot in population array
Selection Process:
Run tournament selection 3 times with different seeds
Each tournament: randomly sample active strategies, pick highest fitness
Best from 3 tournaments becomes Parent 1
Repeat independently for Parent 2
Ensures fit parents but maintains diversity
Crossover Breeding:
For each of 10 genes:
Parent1_Fitness = fitness
Parent2_Fitness = fitness
Weight1 = Parent1_Fitness / (Parent1_Fitness + Parent2_Fitness)
Gene1 = parent1's value
Gene2 = parent2's value
Child_Gene = Weight1 × Gene1 + (1 - Weight1) × Gene2
Fitness-weighted crossover ensures fitter parent contributes more genetic material.
Mutation:
For each gene in child:
IF (random < mutation_rate):
Gene_Range = GENE_MAX - GENE_MIN
Noise = (random - 0.5) × 2 × mutation_strength × Gene_Range
Mutated_Gene = Clamp(Child_Gene + Noise, GENE_MIN, GENE_MAX)
Historical mutation rate: 20% (aggressive exploration)
Live mutation rate: 8% (conservative stability)
Mutation strength: 12% of gene range (configurable 5-25%)
Initialization of New Strategy:
Unique ID assigned (total_spawned counter)
Parent ID recorded
Generation = max(parent generations) + 1
Birth bar recorded (for age tracking)
All performance metrics zeroed
Shadow portfolio reset
WFO validation flag set to false (must prove itself)
Result: New strategy with hybrid DNA enters population, begins trading in next bar.
Competition (Every Bar)
All active strategies:
Calculate their signal based on unique DNA
Check quality gate with their thresholds
Manage shadow positions (entries/exits)
Update performance metrics
Recalculate fitness score
Track WFO validation progress
Strategies compete indirectly through fitness ranking - no direct interaction.
Culling Weak Strategies
Timing (Adaptive):
Historical phase: Every 60 bars (configurable 20-200, should be 2x spawn interval)
Live phase: Every 400 bars (configurable 200-1000, should be 2x spawn interval)
Minimum Adaptation Score (MAS):
Initial MAS = 0.10
MAS decays: MAS × 0.995 every cull cycle
Minimum MAS = 0.03 (floor)
MAS represents the "survival threshold" - strategies below this fitness level are vulnerable.
Culling Conditions (ALL must be true):
Population > minimum population (default: 3, configurable 2-4)
At least one strategy has fitness < MAS
Strategy's age > culling interval (prevents premature culling of new strategies)
Strategy is not in top N elite (default: 2, configurable 1-3)
Culling Process:
Find worst strategy:
For each active strategy:
IF (age > cull_interval):
Fitness = base_fitness
IF (not WFO_validated AND WFO_enabled):
Fitness × 0.7 // 30% penalty for unvalidated
IF (Fitness < MAS AND Fitness < worst_fitness_found):
worst_strategy = this_strategy
worst_fitness = Fitness
IF (worst_strategy found):
Count elite strategies with fitness > worst_fitness
IF (elite_count >= elite_preservation_count):
Deactivate worst_strategy (set active flag = false)
Increment total_culled counter
Elite Protection:
Even if a strategy's fitness falls below MAS, it survives if fewer than N strategies are better. This prevents culling when population is generally weak.
Result: Weak strategies removed from population, freeing slots for new spawns. Gene pool improves over time.
Selection for Display (Every Bar)
AGE chooses one strategy to display signals:
Best fitness = -1
Selected = none
For each active strategy:
Fitness = base_fitness
IF (WFO_validated):
Fitness × 1.3 // 30% bonus for validated strategies
IF (Fitness > best_fitness):
best_fitness = Fitness
selected_strategy = this_strategy
Display selected strategy's signals on chart
Result: Only the highest-fitness (optionally validated-boosted) strategy's signals appear as chart markers. Other strategies trade invisibly in shadow portfolios.
🎨 PREMIUM VISUALIZATION SYSTEM
AGE includes sophisticated visual feedback that standard indicators lack:
1. Gradient Probability Cloud (Optional, Default: ON)
Multi-layer gradient showing signal buildup 2-3 bars before entry:
Activation Conditions:
Signal persistence > 0 (same directional signal held for multiple bars)
Signal probability ≥ minimum threshold (65% by default)
Signal hasn't yet executed (still in "forming" state)
Visual Construction:
7 gradient layers by default (configurable 3-15)
Each layer is a line-fill pair (top line, bottom line, filled between)
Layer spacing: 0.3 to 1.0 × ATR above/below price
Outer layers = faint, inner layers = bright
Color transitions from base to intense based on layer position
Transparency scales with probability (high prob = more opaque)
Color Selection:
Long signals: Gradient from theme.gradient_bull_mid to theme.gradient_bull_strong
Short signals: Gradient from theme.gradient_bear_mid to theme.gradient_bear_strong
Base transparency: 92%, reduces by up to 8% for high-probability setups
Dynamic Behavior:
Cloud grows/shrinks as signal persistence increases/decreases
Redraws every bar while signal is forming
Disappears when signal executes or invalidates
Performance Note: Computationally expensive due to linefill objects. Disable or reduce layers if chart performance degrades.
2. Population Fitness Ribbon (Optional, Default: ON)
Histogram showing fitness distribution across active strategies:
Activation: Only draws on last bar (barstate.islast) to avoid historical clutter
Visual Construction:
10 histogram layers by default (configurable 5-20)
Plots 50 bars back from current bar
Positioned below price at: lowest_low(100) - 1.5×ATR (doesn't interfere with price action)
Each layer represents a fitness threshold (evenly spaced min to max fitness)
Layer Logic:
For layer_num from 0 to ribbon_layers:
Fitness_threshold = min_fitness + (max_fitness - min_fitness) × (layer / layers)
Count strategies with fitness ≥ threshold
Height = ATR × 0.15 × (count / total_active)
Y_position = base_level + ATR × 0.2 × layer
Color = Gradient from weak to strong based on layer position
Line_width = Scaled by height (taller = thicker)
Visual Feedback:
Tall, bright ribbon = healthy population, many fit strategies at high fitness levels
Short, dim ribbon = weak population, few strategies achieving good fitness
Ribbon compression (layers close together) = population converging to similar fitness
Ribbon spread = diverse fitness range, active selection pressure
Use Case: Quick visual health check without opening dashboard. Ribbon growing upward over time = population improving.
3. Confidence Halo (Optional, Default: ON)
Circular polyline around entry signals showing probability strength:
Activation: Draws when new position opens (shadow_position changes from 0 to ±1)
Visual Construction:
20-segment polyline forming approximate circle
Center: Low - 0.5×ATR (long) or High + 0.5×ATR (short)
Radius: 0.3×ATR (low confidence) to 1.0×ATR (elite confidence)
Scales with: (probability - min_probability) / (1.0 - min_probability)
Color Coding:
Elite (85%+): Cyan (theme.conf_elite), large radius, minimal transparency (40%)
Strong (75-85%): Strong green (theme.conf_strong), medium radius, moderate transparency (50%)
Good (65-75%): Good green (theme.conf_good), smaller radius, more transparent (60%)
Moderate (<65%): Moderate green (theme.conf_moderate), tiny radius, very transparent (70%)
Technical Detail:
Uses chart.point array with index-based positioning
5-bar horizontal spread for circular appearance (±5 bars from entry)
Curved=false (Pine Script polyline limitation)
Fill color matches line color but more transparent (88% vs line's transparency)
Purpose: Instant visual probability assessment. No need to check dashboard - halo size/brightness tells the story.
4. Evolution Event Markers (Optional, Default: ON)
Visual indicators of genetic algorithm activity:
Spawn Markers (Diamond, Cyan):
Plots when total_spawned increases on current bar
Location: bottom of chart (location.bottom)
Color: theme.spawn_marker (cyan/bright blue)
Size: tiny
Indicates new strategy just entered population
Cull Markers (X-Cross, Red):
Plots when total_culled increases on current bar
Location: bottom of chart (location.bottom)
Color: theme.cull_marker (red/pink)
Size: tiny
Indicates weak strategy just removed from population
What It Tells You:
Frequent spawning early = population building, active exploration
Frequent culling early = high selection pressure, weak strategies dying fast
Balanced spawn/cull = healthy evolutionary churn
No markers for long periods = stable population (evolution plateaued or optimal genes found)
5. Entry/Exit Markers
Clear visual signals for selected strategy's trades:
Long Entry (Triangle Up, Green):
Plots when selected strategy opens long position (position changes 0 → +1)
Location: below bar (location.belowbar)
Color: theme.long_primary (green/cyan depending on theme)
Transparency: Scales with probability:
Elite (85%+): 0% (fully opaque)
Strong (75-85%): 10%
Good (65-75%): 20%
Acceptable (55-65%): 35%
Size: small
Short Entry (Triangle Down, Red):
Plots when selected strategy opens short position (position changes 0 → -1)
Location: above bar (location.abovebar)
Color: theme.short_primary (red/pink depending on theme)
Transparency: Same scaling as long entries
Size: small
Exit (X-Cross, Orange):
Plots when selected strategy closes position (position changes ±1 → 0)
Location: absolute (at actual exit price if stop/target lines enabled)
Color: theme.exit_color (orange/yellow depending on theme)
Transparency: 0% (fully opaque)
Size: tiny
Result: Clean, probability-scaled markers that don't clutter chart but convey essential information.
6. Stop Loss & Take Profit Lines (Optional, Default: ON)
Visual representation of shadow portfolio risk levels:
Stop Loss Line:
Plots when selected strategy has active position
Level: shadow_stop value from selected strategy
Color: theme.short_primary with 60% transparency (red/pink, subtle)
Width: 2
Style: plot.style_linebr (breaks when no position)
Take Profit Line:
Plots when selected strategy has active position
Level: shadow_target value from selected strategy
Color: theme.long_primary with 60% transparency (green, subtle)
Width: 2
Style: plot.style_linebr (breaks when no position)
Purpose:
Shows where shadow portfolio would exit for stop/target
Helps visualize strategy's risk/reward ratio
Useful for manual traders to set similar levels
Disable for cleaner chart (recommended for presentations)
7. Dynamic Trend EMA
Gradient-colored trend line that visualizes trend strength:
Calculation:
EMA(close, trend_length) - default 50 period (configurable 20-100)
Slope calculated over 10 bars: (current_ema - ema ) / ema × 100
Color Logic:
Trend_direction:
Slope > 0.1% = Bullish (1)
Slope < -0.1% = Bearish (-1)
Otherwise = Neutral (0)
Trend_strength = abs(slope)
Color = Gradient between:
- Neutral color (gray/purple)
- Strong bullish (bright green) if direction = 1
- Strong bearish (bright red) if direction = -1
Gradient factor = trend_strength (0 to 1+ scale)
Visual Behavior:
Faint gray/purple = weak/no trend (choppy conditions)
Light green/red = emerging trend (low strength)
Bright green/red = strong trend (high conviction)
Color intensity = trend strength magnitude
Transparency: 50% (subtle, doesn't overpower price action)
Purpose: Subconscious awareness of trend state without checking dashboard or indicators.
8. Regime Background Tinting (Subtle)
Ultra-low opacity background color indicating detected market regime:
Regime Detection:
Efficiency = directional_movement / total_range (over trend_length bars)
Vol_ratio = current_volatility / average_volatility
IF (efficiency > 0.5 AND vol_ratio < 1.3):
Regime = Trending (1)
ELSE IF (vol_ratio > 1.5):
Regime = Volatile (2)
ELSE:
Regime = Choppy (0)
Background Colors:
Trending: theme.regime_trending (dark green, 92-93% transparency)
Volatile: theme.regime_volatile (dark red, 93% transparency)
Choppy: No tint (normal background)
Purpose:
Subliminal regime awareness
Helps explain why signals are/aren't generating
Trending = ideal conditions for AGE
Volatile = fewer signals, higher thresholds applied
Choppy = mixed signals, lower confidence
Important: Extremely subtle by design. Not meant to be obvious, just subconscious context.
📊 ENHANCED DASHBOARD
Comprehensive real-time metrics in single organized panel (top-right position):
Dashboard Structure (5 columns × 14 rows)
Header Row:
Column 0: "🧬 AGE PRO" + phase indicator (🔴 LIVE or ⏪ HIST)
Column 1: "POPULATION"
Column 2: "PERFORMANCE"
Column 3: "CURRENT SIGNAL"
Column 4: "ACTIVE STRATEGY"
Column 0: Market State
Regime (📈 TREND / 🌊 CHAOS / ➖ CHOP)
DVS Ratio (current volatility scaling factor, format: #.##)
Trend Direction (▲ BULL / ▼ BEAR / ➖ FLAT with color coding)
Trend Strength (0-100 scale, format: #.##)
Column 1: Population Metrics
Active strategies (count / max_population)
Validated strategies (WFO passed / active total)
Current generation number
Total spawned (all-time strategy births)
Total culled (all-time strategy deaths)
Column 2: Aggregate Performance
Total trades across all active strategies
Aggregate win rate (%) - color-coded:
Green (>55%)
Orange (45-55%)
Red (<45%)
Total P&L in R-multiples - color-coded by positive/negative
Best fitness score in population (format: #.###)
MAS - Minimum Adaptation Score (cull threshold, format: #.###)
Column 3: Current Signal Status
Status indicator:
"▲ LONG" (green) if selected strategy in long position
"▼ SHORT" (red) if selected strategy in short position
"⏳ FORMING" (orange) if signal persisting but not yet executed
"○ WAITING" (gray) if no active signal
Confidence percentage (0-100%, format: #.#%)
Quality assessment:
"🔥 ELITE" (cyan) for 85%+ probability
"✓ STRONG" (bright green) for 75-85%
"○ GOOD" (green) for 65-75%
"- LOW" (dim) for <65%
Confluence score (X/3 format)
Signal age:
"X bars" if signal forming
"IN TRADE" if position active
"---" if no signal
Column 4: Selected Strategy Details
Strategy ID number (#X format)
Validation status:
"✓ VAL" (green) if WFO validated
"○ TRAIN" (orange) if still in training/testing phase
Generation number (GX format)
Personal fitness score (format: #.### with color coding)
Trade count
P&L and win rate (format: #.#R (##%) with color coding)
Color Scheme:
Panel background: theme.panel_bg (dark, low opacity)
Panel headers: theme.panel_header (slightly lighter)
Primary text: theme.text_primary (bright, high contrast)
Secondary text: theme.text_secondary (dim, lower contrast)
Positive metrics: theme.metric_positive (green)
Warning metrics: theme.metric_warning (orange)
Negative metrics: theme.metric_negative (red)
Special markers: theme.validated_marker, theme.spawn_marker
Update Frequency: Only on barstate.islast (current bar) to minimize CPU usage
Purpose:
Quick overview of entire system state
No need to check multiple indicators
Trading decisions informed by population health, regime state, and signal quality
Transparency into what AGE is thinking
🔍 DIAGNOSTICS PANEL (Optional, Default: OFF)
Detailed signal quality tracking for optimization and debugging:
Panel Structure (3 columns × 8 rows)
Position: Bottom-right corner (doesn't interfere with main dashboard)
Header Row:
Column 0: "🔍 DIAGNOSTICS"
Column 1: "COUNT"
Column 2: "%"
Metrics Tracked (for selected strategy only):
Total Evaluated:
Every signal that passed initial calculation (direction ≠ 0)
Represents total opportunities considered
✓ Passed:
Signals that passed quality gate and executed
Green color coding
Percentage of evaluated signals
Rejection Breakdown:
⨯ Probability:
Rejected because probability < minimum threshold
Most common rejection reason typically
⨯ Confluence:
Rejected because confluence < minimum required (e.g., only 1 of 3 indicators agreed)
⨯ Trend:
Rejected because signal opposed strong trend
Indicates counter-trend protection working
⨯ Regime:
Rejected because volatile regime detected and probability wasn't high enough to override
Shows regime filter in action
⨯ Volume:
Rejected because volume < 70% of 20-bar average
Indicates volume confirmation requirement
Color Coding:
Passed count: Green (success metric)
Rejection counts: Red (failure metrics)
Percentages: Gray (neutral, informational)
Performance Cost: Slight CPU overhead for tracking counters. Disable when not actively optimizing settings.
How to Use Diagnostics
Scenario 1: Too Few Signals
Evaluated: 200
Passed: 10 (5%)
⨯ Probability: 120 (60%)
⨯ Confluence: 40 (20%)
⨯ Others: 30 (15%)
Diagnosis: Probability threshold too high for this strategy's DNA.
Solution: Lower min probability from 65% to 60%, or allow strategy more time to evolve better DNA.
Scenario 2: Too Many False Signals
Evaluated: 200
Passed: 80 (40%)
Strategy win rate: 45%
Diagnosis: Quality gate too loose, letting low-quality signals through.
Solution: Raise min probability to 70%, or increase min confluence to 3 (all indicators must agree).
Scenario 3: Regime-Specific Issues
⨯ Regime: 90 (45% of rejections)
Diagnosis: Frequent volatile regime detection blocking otherwise good signals.
Solution: Either accept fewer trades during chaos (recommended), or disable regime filter if you want signals regardless of market state.
Optimization Workflow:
Enable diagnostics
Run 200+ bars
Analyze rejection patterns
Adjust settings based on data
Re-run and compare pass rate
Disable diagnostics when satisfied
⚙️ CONFIGURATION GUIDE
🧬 Evolution Engine Settings
Enable AGE Evolution (Default: ON):
ON: Full genetic algorithm (recommended for best results)
OFF: Uses only 4 seed strategies, no spawning/culling (static population for comparison testing)
Max Population (4-12, Default: 8):
Higher = more diversity, more exploration, slower performance
Lower = faster computation, less exploration, risk of premature convergence
Sweet spot: 6-8 for most use cases
4 = minimum for meaningful evolution
12 = maximum before diminishing returns
Min Population (2-4, Default: 3):
Safety floor - system never culls below this count
Prevents population extinction during harsh selection
Should be at least half of max population
Elite Preservation (1-3, Default: 2):
Top N performers completely immune to culling
Ensures best genes always survive
1 = minimal protection, aggressive selection
2 = balanced (recommended)
3 = conservative, slower gene pool turnover
Historical: Spawn Interval (10-100, Default: 30):
Bars between spawning new strategies during historical data
Lower = faster evolution, more exploration
Higher = slower evolution, more evaluation time per strategy
30 bars = ~1-2 hours on 15min chart
Historical: Cull Interval (20-200, Default: 60):
Bars between culling weak strategies during historical data
Should be 2x spawn interval for balanced churn
Lower = aggressive selection pressure
Higher = patient evaluation
Live: Spawn Interval (100-500, Default: 200):
Bars between spawning during live trading
Much slower than historical for stability
Prevents population chaos during live trading
200 bars = ~1.5 trading days on 15min chart
Live: Cull Interval (200-1000, Default: 400):
Bars between culling during live trading
Should be 2x live spawn interval
Conservative removal during live trading
Historical: Mutation Rate (0.05-0.40, Default: 0.20):
Probability each gene mutates during breeding (20% = 2 out of 10 genes on average)
Higher = more exploration, slower convergence
Lower = more exploitation, faster convergence but risk of local optima
20% balances exploration vs exploitation
Live: Mutation Rate (0.02-0.20, Default: 0.08):
Mutation rate during live trading
Much lower for stability (don't want population to suddenly degrade)
8% = mostly inherits parent genes with small tweaks
Mutation Strength (0.05-0.25, Default: 0.12):
How much genes change when mutated (% of gene's total range)
0.05 = tiny nudges (fine-tuning)
0.12 = moderate jumps (recommended)
0.25 = large leaps (aggressive exploration)
Example: If gene range is 0.5-2.0, 12% strength = ±0.18 possible change
📈 Signal Quality Settings
Min Signal Probability (0.55-0.80, Default: 0.65):
Quality gate threshold - signals below this never generate
0.55-0.60 = More signals, accept lower confidence (higher risk)
0.65 = Institutional-grade balance (recommended)
0.70-0.75 = Fewer but higher-quality signals (conservative)
0.80+ = Very selective, very few signals (ultra-conservative)
Min Confluence Score (1-3, Default: 2):
Required indicator agreement before signal generates
1 = Any single indicator can trigger (not recommended - too many false signals)
2 = Requires 2 of 3 indicators agree (RECOMMENDED for balance)
3 = All 3 must agree (very selective, few signals, high quality)
Base Persistence Bars (1-5, Default: 2):
Base bars signal must persist before entry
System adapts automatically:
High probability signals (75%+) enter 1 bar faster
Low probability signals (<68%) need 1 bar more
Trending regime: -1 bar (faster entries)
Volatile regime: +1 bar (more confirmation)
1 = Immediate entry after quality gate (responsive but prone to whipsaw)
2 = Balanced confirmation (recommended)
3-5 = Patient confirmation (slower but more reliable)
Cooldown After Trade (3-20, Default: 8):
Bars to wait after exit before next entry allowed
Prevents overtrading and revenge trading
3 = Minimal cooldown (active trading)
8 = Balanced (recommended)
15-20 = Conservative (position trading)
Entropy Length (10-50, Default: 20):
Lookback period for market order/disorder calculation
Lower = more responsive to regime changes (noisy)
Higher = more stable regime detection (laggy)
20 = works across most timeframes
Momentum Length (5-30, Default: 14):
Period for RSI/ROC calculations
14 = standard (RSI default)
Lower = more signals, less reliable
Higher = fewer signals, more reliable
Structure Length (20-100, Default: 50):
Lookback for support/resistance swing range
20 = short-term swings (day trading)
50 = medium-term structure (recommended)
100 = major structure (position trading)
Trend EMA Length (20-100, Default: 50):
EMA period for trend detection and direction bias
20 = short-term trend (responsive)
50 = medium-term trend (recommended)
100 = long-term trend (position trading)
ATR Period (5-30, Default: 14):
Period for volatility measurement
14 = standard ATR
Lower = more responsive to vol changes
Higher = smoother vol calculation
📊 Volatility Scaling (DVS) Settings
Enable DVS (Default: ON):
Dynamic volatility scaling for adaptive stop/target placement
Highly recommended to leave ON
OFF only for testing fixed-distance stops
DVS Method (Default: Ensemble):
ATR Ratio: Simple, fast, single-method (good for beginners)
Parkinson: High-low range based (good for intraday)
Garman-Klass: OHLC based (sophisticated, considers gaps)
Ensemble: Median of all three (RECOMMENDED - most robust)
DVS Memory (20-200, Default: 100):
Lookback for baseline volatility comparison
20 = very responsive to vol changes (can overreact)
100 = balanced adaptation (recommended)
200 = slow, stable baseline (minimizes false vol signals)
DVS Sensitivity (0.3-1.5, Default: 0.7):
How much volatility affects scaling (power-law exponent)
0.3 = Conservative, heavily dampens vol impact (cube root)
0.5 = Moderate dampening (square root)
0.7 = Balanced response (recommended)
1.0 = Linear, full 1:1 vol response
1.5 = Aggressive, amplified response (exponential)
🔬 Walk-Forward Optimization Settings
Enable WFO (Default: ON):
Out-of-sample validation to prevent overfitting
Highly recommended to leave ON
OFF only for testing or if you want unvalidated strategies
Training Window (100-500, Default: 250):
Bars for in-sample optimization
100 = fast validation, less data (risky)
250 = balanced (recommended) - about 1-2 months on daily, 1-2 weeks on 15min
500 = patient validation, more data (conservative)
Testing Window (30-200, Default: 75):
Bars for out-of-sample validation
Should be ~30% of training window
30 = minimal test (fast validation)
75 = balanced (recommended)
200 = extensive test (very conservative)
Min Trades for Validation (3-15, Default: 5):
Required trades in BOTH training AND testing periods
3 = minimal sample (risky, fast validation)
5 = balanced (recommended)
10+ = conservative (slow validation, high confidence)
WFO Efficiency Threshold (0.3-0.9, Default: 0.55):
Minimum test/train performance ratio required
0.30 = Very loose (test must be 30% as good as training)
0.55 = Balanced (recommended) - test must be 55% as good
0.70+ = Strict (test must closely match training)
Higher = fewer validated strategies, lower risk of overfitting
🎨 Premium Visuals Settings
Visual Theme:
Neon Genesis: Cyberpunk aesthetic (cyan/magenta/purple)
Carbon Fiber: Industrial look (blue/red/gray)
Quantum Blue: Quantum computing (blue/purple/pink)
Aurora: Northern lights (teal/orange/purple)
⚡ Gradient Probability Cloud (Default: ON):
Multi-layer gradient showing signal buildup
Turn OFF if chart lags or for cleaner look
Cloud Gradient Layers (3-15, Default: 7):
More layers = smoother gradient, more CPU intensive
Fewer layers = faster, blockier appearance
🎗️ Population Fitness Ribbon (Default: ON):
Histogram showing fitness distribution
Turn OFF for cleaner chart
Ribbon Layers (5-20, Default: 10):
More layers = finer fitness detail
Fewer layers = simpler histogram
⭕ Signal Confidence Halo (Default: ON):
Circular indicator around entry signals
Size/brightness scales with probability
Minimal performance cost
🔬 Evolution Event Markers (Default: ON):
Diamond (spawn) and X (cull) markers
Shows genetic algorithm activity
Minimal performance cost
🎯 Stop/Target Lines (Default: ON):
Shows shadow portfolio stop/target levels
Turn OFF for cleaner chart (recommended for screenshots/presentations)
📊 Enhanced Dashboard (Default: ON):
Comprehensive metrics panel
Should stay ON unless you want zero overlays
🔍 Diagnostics Panel (Default: OFF):
Detailed signal rejection tracking
Turn ON when optimizing settings
Turn OFF during normal use (slight performance cost)
📈 USAGE WORKFLOW - HOW TO USE THIS INDICATOR
Phase 1: Initial Setup & Learning
Add AGE to your chart
Recommended timeframes: 15min, 30min, 1H (best signal-to-noise ratio)
Works on: 5min (day trading), 4H (swing trading), Daily (position trading)
Load 1000+ bars for sufficient evolution history
Let the population evolve (100+ bars minimum)
First 50 bars: Random exploration, poor results expected
Bars 50-150: Population converging, fitness improving
Bars 150+: Stable performance, validated strategies emerging
Watch the dashboard metrics
Population should grow toward max capacity
Generation number should advance regularly
Validated strategies counter should increase
Best fitness should trend upward toward 0.50-0.70 range
Observe evolution markers
Diamond markers (cyan) = new strategies spawning
X markers (red) = weak strategies being culled
Frequent early activity = healthy evolution
Activity slowing = population stabilizing
Be patient. Evolution takes time. Don't judge performance before 150+ bars.
Phase 2: Signal Observation
Watch signals form
Gradient cloud builds up 2-3 bars before entry
Cloud brightness = probability strength
Cloud thickness = signal persistence
Check signal quality
Look at confidence halo size when entry marker appears
Large bright halo = elite setup (85%+)
Medium halo = strong setup (75-85%)
Small halo = good setup (65-75%)
Verify market conditions
Check trend EMA color (green = uptrend, red = downtrend, gray = choppy)
Check background tint (green = trending, red = volatile, clear = choppy)
Trending background + aligned signal = ideal conditions
Review dashboard signal status
Current Signal column shows:
Status (Long/Short/Forming/Waiting)
Confidence % (actual probability value)
Quality assessment (Elite/Strong/Good)
Confluence score (2/3 or 3/3 preferred)
Only signals meeting ALL quality gates appear on chart. If you're not seeing signals, population is either still learning or market conditions aren't suitable.
Phase 3: Manual Trading Execution
When Long Signal Fires:
Verify confidence level (dashboard or halo size)
Confirm trend alignment (EMA sloping up, green color)
Check regime (preferably trending or choppy, avoid volatile)
Enter long manually on your broker platform
Set stop loss at displayed stop line level (if lines enabled), or use your own risk management
Set take profit at displayed target line level, or trail manually
Monitor position - exit if X marker appears (signal reversal)
When Short Signal Fires:
Same verification process
Confirm downtrend (EMA sloping down, red color)
Enter short manually
Use displayed stop/target levels or your own
AGE tells you WHEN and HOW CONFIDENT. You decide WHETHER and HOW MUCH.
Phase 4: Set Up Alerts (Never Miss a Signal)
Right-click on indicator name in legend
Select "Add Alert"
Choose condition:
"AGE Long" = Long entry signal fired
"AGE Short" = Short entry signal fired
"AGE Exit" = Position reversal/exit signal
Set notification method:
Sound alert (popup on chart)
Email notification
Webhook to phone/trading platform
Mobile app push notification
Name the alert (e.g., "AGE BTCUSD 15min Long")
Save alert
Recommended: Set alerts for both long and short, enable mobile push notifications. You'll get alerted in real-time even if not watching charts.
Phase 5: Monitor Population Health
Weekly Review:
Check dashboard Population column:
Active count should be near max (6-8 of 8)
Validated count should be >50% of active
Generation should be advancing (1-2 per week typical)
Check dashboard Performance column:
Aggregate win rate should be >50% (target: 55-65%)
Total P&L should be positive (may fluctuate)
Best fitness should be >0.50 (target: 0.55-0.70)
MAS should be declining slowly (normal adaptation)
Check Active Strategy column:
Selected strategy should be validated (✓ VAL)
Personal fitness should match best fitness
Trade count should be accumulating
Win rate should be >50%
Warning Signs:
Zero validated strategies after 300+ bars = settings too strict or market unsuitable
Best fitness stuck <0.30 = population struggling, consider parameter adjustment
No spawning/culling for 200+ bars = evolution stalled (may be optimal or need reset)
Aggregate win rate <45% sustained = system not working on this instrument/timeframe
Health Check Pass:
50%+ strategies validated
Best fitness >0.50
Aggregate win rate >52%
Regular spawn/cull activity
Selected strategy validated
Phase 6: Optimization (If Needed)
Enable Diagnostics Panel (bottom-right) for data-driven tuning:
Problem: Too Few Signals
Evaluated: 200
Passed: 8 (4%)
⨯ Probability: 140 (70%)
Solutions:
Lower min probability: 65% → 60% or 55%
Reduce min confluence: 2 → 1
Lower base persistence: 2 → 1
Increase mutation rate temporarily to explore new genes
Check if regime filter is blocking signals (⨯ Regime high?)
Problem: Too Many False Signals
Evaluated: 200
Passed: 90 (45%)
Win rate: 42%
Solutions:
Raise min probability: 65% → 70% or 75%
Increase min confluence: 2 → 3
Raise base persistence: 2 → 3
Enable WFO if disabled (validates strategies before use)
Check if volume filter is being ignored (⨯ Volume low?)
Problem: Counter-Trend Losses
⨯ Trend: 5 (only 5% rejected)
Losses often occur against trend
Solutions:
System should already filter trend opposition
May need stronger trend requirement
Consider only taking signals aligned with higher timeframe trend
Use longer trend EMA (50 → 100)
Problem: Volatile Market Whipsaws
⨯ Regime: 100 (50% rejected by volatile regime)
Still getting stopped out frequently
Solutions:
System is correctly blocking volatile signals
Losses happening because vol filter isn't strict enough
Consider not trading during volatile periods (respect the regime)
Or disable regime filter and accept higher risk
Optimization Workflow:
Enable diagnostics
Run 200+ bars with current settings
Analyze rejection patterns and win rate
Make ONE change at a time (scientific method)
Re-run 200+ bars and compare results
Keep change if improvement, revert if worse
Disable diagnostics when satisfied
Never change multiple parameters at once - you won't know what worked.
Phase 7: Multi-Instrument Deployment
AGE learns independently on each chart:
Recommended Strategy:
Deploy AGE on 3-5 different instruments
Different asset classes ideal (e.g., ES futures, EURUSD, BTCUSD, SPY, Gold)
Each learns optimal strategies for that instrument's personality
Take signals from all 5 charts
Natural diversification reduces overall risk
Why This Works:
When one market is choppy, others may be trending
Different instruments respond to different news/catalysts
Portfolio-level win rate more stable than single-instrument
Evolution explores different parameter spaces on each chart
Setup:
Same settings across all charts (or customize if preferred)
Set alerts for all
Take every validated signal across all instruments
Position size based on total account (don't overleverage any single signal)
⚠️ REALISTIC EXPECTATIONS - CRITICAL READING
What AGE Can Do
✅ Generate probability-weighted signals using genetic algorithms
✅ Evolve strategies in real-time through natural selection
✅ Validate strategies on out-of-sample data (walk-forward optimization)
✅ Adapt to changing market conditions automatically over time
✅ Provide comprehensive metrics on population health and signal quality
✅ Work on any instrument, any timeframe, any broker
✅ Improve over time as weak strategies are culled and fit strategies breed
What AGE Cannot Do
❌ Win every trade (typical win rate: 55-65% at best)
❌ Predict the future with certainty (markets are probabilistic, not deterministic)
❌ Work perfectly from bar 1 (needs 100-150 bars to learn and stabilize)
❌ Guarantee profits under all market conditions
❌ Replace your trading discipline and risk management
❌ Execute trades automatically (this is an indicator, not a strategy)
❌ Prevent all losses (drawdowns are normal and expected)
❌ Adapt instantly to regime changes (re-learning takes 50-100 bars)
Performance Realities
Typical Performance After Evolution Stabilizes (150+ bars):
Win Rate: 55-65% (excellent for trend-following systems)
Profit Factor: 1.5-2.5 (realistic for validated strategies)
Signal Frequency: 5-15 signals per 100 bars (quality over quantity)
Drawdown Periods: 20-40% of time in equity retracement (normal trading reality)
Max Consecutive Losses: 5-8 losses possible even with 60% win rate (probability says this is normal)
Evolution Timeline:
Bars 0-50: Random exploration, learning phase - poor results expected, don't judge yet
Bars 50-150: Population converging, fitness climbing - results improving
Bars 150-300: Stable performance, most strategies validated - consistent results
Bars 300+: Mature population, optimal genes dominant - best results
Market Condition Dependency:
Trending Markets: AGE excels - clear directional moves, high-probability setups
Choppy Markets: AGE struggles - fewer signals generated, lower win rate
Volatile Markets: AGE cautious - higher rejection rate, wider stops, fewer trades
Market Regime Changes:
When market shifts from trending to choppy overnight
Validated strategies can become temporarily invalidated
AGE will adapt through evolution, but not instantly
Expect 50-100 bar re-learning period after major regime shifts
Fitness may temporarily drop then recover
This is NOT a holy grail. It's a sophisticated signal generator that learns and adapts using genetic algorithms. Your success depends on:
Patience during learning periods (don't abandon after 3 losses)
Proper position sizing (risk 0.5-2% per trade, not 10%)
Following signals consistently (cherry-picking defeats statistical edge)
Not abandoning system prematurely (give it 200+ bars minimum)
Understanding probability (60% win rate means 40% of trades WILL lose)
Respecting market conditions (trending = trade more, choppy = trade less)
Managing emotions (AGE is emotionless, you need to be too)
Expected Drawdowns:
Single-strategy max DD: 10-20% of equity (normal)
Portfolio across multiple instruments: 5-15% (diversification helps)
Losing streaks: 3-5 consecutive losses expected periodically
No indicator eliminates risk. AGE manages risk through:
Quality gates (rejecting low-probability signals)
Confluence requirements (multi-indicator confirmation)
Persistence requirements (no knee-jerk reactions)
Regime awareness (reduced trading in chaos)
Walk-forward validation (preventing overfitting)
But it cannot prevent all losses. That's inherent to trading.
🔧 TECHNICAL SPECIFICATIONS
Platform: TradingView Pine Script v5
Indicator Type: Overlay indicator (plots on price chart)
Execution Type: Signals only - no automatic order placement
Computational Load:
Moderate to High (genetic algorithms + shadow portfolios)
8 strategies × shadow portfolio simulation = significant computation
Premium visuals add additional load (gradient cloud, fitness ribbon)
TradingView Resource Limits (Built-in Caps):
Max Bars Back: 500 (sufficient for WFO and evolution)
Max Labels: 100 (plenty for entry/exit markers)
Max Lines: 150 (adequate for stop/target lines)
Max Boxes: 50 (not heavily used)
Max Polylines: 100 (confidence halos)
Recommended Chart Settings:
Timeframe: 15min to 1H (optimal signal/noise balance)
5min: Works but noisier, more signals
4H/Daily: Works but fewer signals
Bars Loaded: 1000+ (ensures sufficient evolution history)
Replay Mode: Excellent for testing without risk
Performance Optimization Tips:
Disable gradient cloud if chart lags (most CPU intensive visual)
Disable fitness ribbon if still laggy
Reduce cloud layers from 7 to 3
Reduce ribbon layers from 10 to 5
Turn off diagnostics panel unless actively tuning
Close other heavy indicators to free resources
Browser/Platform Compatibility:
Works on all modern browsers (Chrome, Firefox, Safari, Edge)
Mobile app supported (full functionality on phone/tablet)
Desktop app supported (best performance)
Web version supported (may be slower on older computers)
Data Requirements:
Real-time or delayed data both work
No special data feeds required
Works with TradingView's standard data
Historical + live data seamlessly integrated
🎓 THEORETICAL FOUNDATIONS
AGE synthesizes advanced concepts from multiple disciplines:
Evolutionary Computation
Genetic Algorithms (Holland, 1975): Population-based optimization through natural selection metaphor
Tournament Selection: Fitness-based parent selection with diversity preservation
Crossover Operators: Fitness-weighted gene recombination from two parents
Mutation Operators: Random gene perturbation for exploration of new parameter space
Elitism: Preservation of top N performers to prevent loss of best solutions
Adaptive Parameters: Different mutation rates for historical vs. live phases
Technical Analysis
Support/Resistance: Price structure within swing ranges
Trend Following: EMA-based directional bias
Momentum Analysis: RSI, ROC, MACD composite indicators
Volatility Analysis: ATR-based risk scaling
Volume Confirmation: Trade activity validation
Information Theory
Shannon Entropy (1948): Quantification of market order vs. disorder
Signal-to-Noise Ratio: Directional information vs. random walk
Information Content: How much "information" a price move contains
Statistics & Probability
Walk-Forward Analysis: Rolling in-sample/out-of-sample optimization
Out-of-Sample Validation: Testing on unseen data to prevent overfitting
Monte Carlo Principles: Shadow portfolio simulation with realistic execution
Expectancy Theory: Win rate × avg win - loss rate × avg loss
Probability Distributions: Signal confidence quantification
Risk Management
ATR-Based Stops: Volatility-normalized risk per trade
Volatility Regime Detection: Market state classification (trending/choppy/volatile)
Drawdown Control: Peak-to-trough equity measurement
R-Multiple Normalization: Performance measurement in risk units
Machine Learning Concepts
Online Learning: Continuous adaptation as new data arrives
Fitness Functions: Multi-objective optimization (win rate + expectancy + drawdown)
Exploration vs. Exploitation: Balance between trying new strategies and using proven ones
Overfitting Prevention: Walk-forward validation as regularization
Novel Contribution:
AGE is the first TradingView indicator to apply genetic algorithms to real-time indicator parameter optimization while maintaining strict anti-overfitting controls through walk-forward validation.
Most "adaptive" indicators simply recalibrate lookback periods or thresholds. AGE evolves entirely new strategies through competitive selection - it's not parameter tuning, it's Darwinian evolution of trading logic itself.
The combination of:
Genetic algorithm population management
Shadow portfolio simulation for realistic fitness evaluation
Walk-forward validation to prevent overfitting
Multi-indicator confluence for signal quality
Dynamic volatility scaling for adaptive risk
...creates a system that genuinely learns and improves over time while avoiding the curse of curve-fitting that plagues most optimization approaches.
🏗️ DEVELOPMENT NOTES
This project represents months of intensive development, facing significant technical challenges:
Challenge 1: Making Genetics Actually Work
Early versions spawned garbage strategies that polluted the gene pool:
Random gene combinations produced nonsensical parameter sets
Weak strategies survived too long, dragging down population
No clear convergence toward optimal solutions
Solution:
Comprehensive fitness scoring (4 factors: win rate, P&L, expectancy, drawdown)
Elite preservation (top 2 always protected)
Walk-forward validation (unproven strategies penalized 30%)
Tournament selection (fitness-weighted breeding)
Adaptive culling (MAS decay creates increasing selection pressure)
Challenge 2: Balancing Evolution Speed vs. Stability
Too fast = population chaos, no convergence. Too slow = can't adapt to regime changes.
Solution:
Dual-phase timing: Fast evolution during historical (30/60 bar intervals), slow during live (200/400 bar intervals)
Adaptive mutation rates: 20% historical, 8% live
Spawn/cull ratio: Always 2:1 to prevent population collapse
Challenge 3: Shadow Portfolio Accuracy
Needed realistic trade simulation without lookahead bias:
Can't peek at future bars for exits
Must track multiple portfolios simultaneously
Stop/target checks must use bar's high/low correctly
Solution:
Entry on close (realistic)
Exit checks on current bar's high/low (realistic)
Independent position tracking per strategy
Cooldown periods to prevent unrealistic rapid re-entry
ATR-normalized P&L (R-multiples) for fair comparison across volatility regimes
Challenge 4: Pine Script Compilation Limits
Hit TradingView's execution limits multiple times:
Too many array operations
Too many variables
Too complex conditional logic
Solution:
Optimized data structures (single DNA array instead of 8 separate arrays)
Minimal visual overlays (only essential plots)
Efficient fitness calculations (vectorized where possible)
Strategic use of barstate.islast to minimize dashboard updates
Challenge 5: Walk-Forward Implementation
Standard WFO is difficult in Pine Script:
Can't easily "roll forward" through historical data
Can't re-optimize strategies mid-stream
Must work in real-time streaming environment
Solution:
Age-based phase detection (first 250 bars = training, next 75 = testing)
Separate metric tracking for train vs. test
Efficiency calculation at fixed interval (after test period completes)
Validation flag persists for strategy lifetime
Challenge 6: Signal Quality Control
Early versions generated too many signals with poor win rates:
Single indicators produced excessive noise
No trend alignment
No regime awareness
Instant entries on single-bar spikes
Solution:
Three-layer confluence system (entropy + momentum + structure)
Minimum 2-of-3 agreement requirement
Trend alignment checks (penalty for counter-trend)
Regime-based probability adjustments
Persistence requirements (signals must hold multiple bars)
Volume confirmation
Quality gate (probability + confluence thresholds)
The Result
A system that:
Truly evolves (not just parameter sweeps)
Truly validates (out-of-sample testing)
Truly adapts (ongoing competition and breeding)
Stays within TradingView's platform constraints
Provides institutional-quality signals
Maintains transparency (full metrics dashboard)
Development time: 3+ months of iterative refinement
Lines of code: ~1500 (highly optimized)
Test instruments: ES, NQ, EURUSD, BTCUSD, SPY, AAPL
Test timeframes: 5min, 15min, 1H, Daily
🎯 FINAL WORDS
The Adaptive Genesis Engine is not just another indicator - it's a living system that learns, adapts, and improves through the same principles that drive biological evolution. Every bar it observes adds to its experience. Every strategy it spawns explores new parameter combinations. Every strategy it culls removes weakness from the gene pool.
This is evolution in action on your charts.
You're not getting a static formula locked in time. You're getting a system that thinks , that competes , that survives through natural selection. The strongest strategies rise to the top. The weakest die. The gene pool improves generation after generation.
AGE doesn't claim to predict the future - it adapts to whatever the future brings. When markets shift from trending to choppy, from calm to volatile, from bullish to bearish - AGE evolves new strategies suited to the new regime.
Use it on any instrument. Any timeframe. Any market condition. AGE will adapt.
This indicator gives you the pure signal intelligence. How you choose to act on it - position sizing, risk management, execution discipline - that's your responsibility. AGE tells you when and how confident . You decide whether and how much .
Trust the process. Respect the evolution. Let Darwin work.
"In markets, as in nature, it is not the strongest strategies that survive, nor the most intelligent - but those most responsive to change."
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
— Happy Holiday's
Multi-Candle Reversal ConfirmationMulti-Candle Reversal Confirmation (MCRC)
This indicator identifies potential price reversals using a 3-candle confirmation pattern. It filters out noise by requiring a significant prior trend before signaling, helping you catch turning points rather than getting trapped in choppy price action.
How It Works
The indicator uses a three-step process to confirm reversals:
Candle 1 (Rejection) - Detects a rejection candle after a sustained move. This includes hammer/shooting star patterns with long wicks, doji candles showing indecision, or stall candles with unusually small bodies.
Candle 2 (Reversal) - Confirms the candle closes in the opposite direction of the prior trend.
Candle 3 (Confirmation) - Validates the reversal by either continuing in the new direction or breaking the high/low of the previous candle.
Key Features
Requires a significant prior trend before looking for reversals (no signals in choppy, sideways markets)
Uses ATR to measure move significance, adapting to current volatility
Marks rejection candles with small circles for early awareness
Confirmed signals shown as triangles with Bull/Bear labels
Built-in alerts for all signal types
Settings
Wick to Body Ratio - How pronounced the rejection wick must be compared to the candle body (default: 2.0)
Doji Threshold - Maximum body size relative to total range to qualify as a doji (default: 0.1)
Trend Lookback - Number of candles to analyze for prior trend detection (default: 5)
Trend Strength - Percentage of lookback candles required in trend direction (default: 0.6 = 60%)
Minimum Move (ATR multiple) - How large the prior move must be before signaling (default: 1.5)
Show Bullish/Bearish - Toggle each signal type on or off
Visual Signals
Small Circle - Marks potential rejection candles (first candle in the pattern)
Green Triangle (Bull) - Confirmed bullish reversal signal
Red Triangle (Bear) - Confirmed bearish reversal signal
Alerts
Three alert options are available:
Bullish Reversal Confirmed
Bearish Reversal Confirmed
Any Reversal Confirmed
How To Set Up Alerts
Add the indicator to your chart
Right-click on the chart and select "Add Alert" (or press Alt+A)
In the Condition dropdown, select "Multi-Candle Reversal Confirmation"
Choose your preferred alert type
Set notification preferences (popup, email, sound, webhook)
Click "Create"
Tips For Best Results
Combine with key support/resistance levels for higher probability trades
Use higher timeframe trend direction as a filter
Adjust Trend Lookback based on your timeframe (higher for longer timeframes)
Increase Minimum Move ATR in volatile conditions to reduce false signals
Signals appearing near VWAP, moving averages, or prior day levels tend to be more reliable
Note: This indicator is for informational purposes only and should not be used as the sole basis for trading decisions. Always use proper risk management and consider combining with other forms of analysis.
EMA 20/50/200 - Warning Note Before Cross EMA 20/50/200 - Smart Cross Detection with Customizable Alerts
A clean and minimalistic indicator that tracks three key Exponential Moving Averages (20, 50, and 200) with intelligent near-cross detection and customizable warning system.
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📊 KEY FEATURES
✓ Triple EMA System
• EMA 20 (Red) - Fast/Short-term trend
• EMA 50 (Yellow) - Medium/Intermediate trend
• EMA 200 (Green) - Slow/Long-term trend & major support/resistance
✓ Smart Near-Cross Detection
• Get warned BEFORE crosses happen (not after)
• Adjustable threshold percentage (how close is "close")
• Automatic hiding after cross to prevent false signals
• Configurable lookback period
✓ Dual Warning System
• Price Label: Appears directly on chart near EMAs
• Info Table: Positioned anywhere on your chart
• Both show distance percentage and direction
• Dynamic positioning to avoid blocking candles
✓ Color-Coded Alerts
• GREEN warning = Bullish cross approaching (EMA 20 crossing UP through EMA 50)
• RED warning = Bearish cross approaching (EMA 20 crossing DOWN through EMA 50)
✓ Cross Signal Detection
• Golden Cross (EMA 50 crosses above EMA 200)
• Death Cross (EMA 50 crosses below EMA 200)
• Fast crosses (EMA 20 and EMA 50)
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⚙️ CUSTOMIZATION OPTIONS
Warning Settings:
• Custom warning text for bull/bear signals
• Adjustable opacity for better visibility
• Toggle distance and direction display
• Flexible table positioning (9 positions available)
• 5 text size options
Alert Settings:
• Golden/Death Cross alerts
• Fast cross alerts (20/50)
• Near-cross warnings (before it happens)
• All alerts are non-repainting
Display Options:
• Show/hide each EMA individually
• Toggle all signals on/off
• Adjustable threshold sensitivity
• Dynamic label positioning
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🎯 HOW TO USE
1. ADD TO CHART
Simply add the indicator to any chart and timeframe
2. ADJUST THRESHOLD
Default is 0.5% - increase for less frequent warnings, decrease for earlier warnings
3. SET UP ALERTS
Create alerts for:
• Near-cross warnings (get notified before the cross)
• Actual crosses (when EMA 20 crosses EMA 50)
• Golden/Death crosses (major trend changes)
4. CUSTOMIZE APPEARANCE
• Change warning text to your language
• Adjust opacity for your chart theme
• Position table where it's most convenient
• Choose label size for visibility
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💡 TRADING TIPS
- Use the near-cross warning to prepare entries/exits BEFORE the cross happens
- Green warning = Prepare for potential long position
- Red warning = Prepare for potential short position
- Combine with other indicators for confirmation
- Higher timeframes = more reliable signals
- Warning disappears after cross to avoid confusion
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🔧 TECHNICAL DETAILS
- Pine Script v6
- Non-repainting (all signals confirm on bar close)
- Works on all timeframes
- Works on all instruments (stocks, crypto, forex, futures)
- Lightweight and efficient
- No external data sources required
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📝 SETTINGS GUIDE
Near Cross Settings:
• Threshold %: How close EMAs must be to trigger warning (default 0.5%)
• Lookback Bars: Hide warning for X bars after a cross (default 3)
Warning Note Style:
• Text Size: Tiny to Huge
• Colors: Customize bull/bear warning colors
• Position: Place table anywhere on chart
• Opacity: 0 (solid) to 90 (very transparent)
Price Label:
• Size: Tiny to Large
• Opacity: Control transparency
• Auto-positioning: Moves to avoid blocking candles
Custom Text:
• Bull/Bear warning messages
• Toggle distance display
• Toggle direction display
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⚠️ IMPORTANT NOTES
- Warnings only appear BEFORE crosses, not after
- After a cross happens, warning is hidden for the lookback period
- Adjust threshold if you're getting too many/too few warnings
- This is a trend-following indicator - best used with confirmation
- Always use proper risk management
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Happy Trading! 📈📉
If you find this indicator useful, please give it a boost and leave a comment!
For questions or suggestions, feel free to reach out.
