Daily Trend Scanner Plus█ DAILY TREND SCANNER PLUS
A professional-grade trading indicator designed to help traders quickly identify intraday trend bias across multiple symbols by tracking price relationships to key technical levels: Prior Day High/Low (PDH/PDL) and Pre-Market High/Low (PMH/PML).
█ FEATURES
► Single Symbol Table
Compact 5-column table displaying PDH, PMH, PDL, PML, and Trend status for the current chart symbol. Shows green dot (🟢) when price breaks above high levels and red dot (🔴) when price breaks below low levels. Progress bars visualize how close price is to breaking key levels.
► Multi Symbol Table
Monitor up to 20 tickers simultaneously in a single table. Each row displays ticker name, price, change %, breakout dots, progress bars, and trend status. Optional columns for actual PMH/PML and PDH/PDL price values. Real-time updates for all symbols with color-coded change percentages.
► Table Sorting
- None - Displays tickers in input order
- Chg % - Sorts by daily change percentage (highest to lowest)
- Bullish - Prioritizes bullish setups at top
- Bearish - Prioritizes bearish setups at top
► PMH/PML Lines (Pre-Market High/Low)
Horizontal lines at pre-market high and low levels (4:00 AM - 9:29 AM ET). Customizable line styles, colors, labels, and optional price display.
► PDH/PDL Lines (Prior Day High/Low)
Horizontal lines at previous trading day's high and low. Uses RTH only for stocks (9:30 AM - 4:00 PM ET) and full 24-hour day for non equities.
► ORB Lines (Opening Range Breakout)
Captures high and low during the opening period with 5-minute, 10-minute, or 30-minute options. Lines persist from market open until next pre-market session.
► EMA Overlays
Three independent EMAs with customizable periods (default: 8, 20, 200). Third EMA can be switched to SMA. Multiple line styles available.
► VWAP Overlay
Volume Weighted Average Price with customizable line style, width, and color.
█ TREND LOGIC
- BULLISH: Price above BOTH Prior Day High AND Pre-Market High
Indicates strong upward momentum breaking through two resistance levels
- BEARISH: Price below BOTH Prior Day Low AND Pre-Market Low
Indicates strong downward momentum breaking through two support levels
- NEUTRAL: Price not above both highs or below both lows
Price is consolidating between key levels
█ PROGRESS BARS
Visual 5-block meter showing progress from midpoint toward target level:
▓▓▓▓▓ (80-100%) → ▓▓▓▓▒ (60-80%) → ▓▓▓▒▒ (40-60%) → ▓▓▒▒▒ (20-40%) → ▓▒▒▒▒ (0-20%)
Replaced with 🟢 or 🔴 when level is actually broken.
█ ASSET TYPE HANDLING
STOCKS:
- Pre-Market: 4:00 AM - 9:29 AM Eastern
- Prior Day: RTH only (9:30 AM - 4:00 PM Eastern)
NON-EQUITIES:
- Prior Day: Full 24-hour trading day
- Automatically detected via symbol type
█ RECOMMENDED SETTINGS
- Chart Timeframe: 10-minute recommended for multi-table accuracy
- Timeframes 60 minutes or less required for ORB functionality
- Enable extended hours on chart for accurate PMH/PML on stocks
█ USAGE TIPS
- Use Bullish sort to find strongest breakout candidates for long trades
- Use Bearish sort to find weakest stocks for short/put candidates
- Progress bars help anticipate upcoming breakouts before they happen
- Combine with ORB lines to confirm trend direction after market open
- Watch for alignment: Price above all key levels = strongest bullish signal
- PDH/PDL breaks often signal continuation of prior day's trend
- PMH/PML breaks can indicate gap-fill or trend reversal setups
█ INDICATOR SETTINGS
█ EXAMPLE OF FULL MULTI TABLE AND SINGLE TABLE
█ MULTI-TABLE SORTING
█ PMH/PML, PDH/PDL, ORB LINES
█ EMA AND VWAP OVERLAYS
█ CUSTOMIZATION
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hap adxAdaptive ADX & DI Color Bars – Indicator Description
This indicator is an advanced ADX-based momentum and trend strength visualizer.
Instead of displaying raw ADX and DI values only, it dynamically changes bar colors
based on the relationship between ADX, +DI, and −DI, making market conditions
instantly readable.
Core Logic:
- Rising ADX indicates increasing momentum and trend strength
- Falling ADX signals weakening trend or transition to range
- +DI vs −DI defines bullish or bearish directional control
Color States:
Strong Bullish Trend:
- ADX is rising
- +DI is above −DI
- Shows strong bullish momentum and trend continuation
Weak / Early Bullish:
- +DI above −DI
- ADX flat or weakening
- Trend exists but momentum is not fully confirmed
Strong Bearish Trend:
- ADX is rising
- −DI is above +DI
- Strong bearish dominance and continuation
Weak / Early Bearish:
- −DI above +DI
- ADX weakening
- Selling pressure exists but momentum is fading
No-Trade / Range Zone:
- ADX is low or clearly declining
- +DI and −DI are close or frequently crossing
- Market is ranging or indecisive
Why This Indicator Is Useful:
- Removes the need to interpret raw ADX values
- Visually highlights trend strength, weakness, and transitions
- Helps avoid low-quality trades during weak momentum
- Works perfectly as a trend filter for scalping, day trading, and swing trading
Best Use Cases:
- Trend confirmation
- Momentum filtering
- Entry quality validation
- Avoiding false breakouts in low ADX conditions
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC)
Institutional-Grade Trend, Volatility & Liquidity Framework
Overview
The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time.
It integrates ATR-based channels, pivot structure, supply–demand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system.
AMSC is not a single-indicator strategy.
It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity.
Core Components
1️⃣ Adaptive ATR Trend Channel
Dynamic ATR-based support & resistance
Automatically adjusts to volatility
Color-coded trend strength (strong / weak regimes)
Acts as the primary trend bias filter
2️⃣ Pivot-Based ATR Trend Channels
Channels built from confirmed pivot highs and lows
ATR-expanded structure, not fixed slopes
Separates impulse moves from corrections
Useful for trend continuation and pullback trades
3️⃣ Market Structure: Supply & Demand Zones
Automatically plots fresh demand and supply zones
Zones extend forward until violated
Helps identify high-probability reaction areas
Used as a location filter, not a standalone signal
4️⃣ Liquidity Sweep Detection (Smart Money Logic)
Identifies equal high / equal low liquidity pools
Detects stop-hunt style sweeps
Validates sweeps only when price reacts from structure zones
Prevents chasing false breakouts
5️⃣ Multi-Factor Trend Confirmation Engine
Combines:
EMA structure
MACD momentum
RSI regime
VWAP positioning
Optional ribbon & HMA filters
Signals are generated only when a majority of factors align, avoiding single-indicator bias.
6️⃣ Volatility Context (Bollinger Bands)
Provides volatility expansion / contraction context
Helps distinguish trend continuation vs compression
Works as a background regime filter
7️⃣ Higher Timeframe Confirmation
Confirms trend using a user-selected HTF
Prevents counter-trend trades during strong HTF bias
Essential for intraday and swing traders
8️⃣ Session-Aware Trading
Optional India, London, and New York session filters
Signals only during active market participation
Avoids low-liquidity false signals
9️⃣ Professional Dashboard
Real-time display of:
Trend direction
Trend strength
Factor alignment
HTF bias
Active zone
Trade signal
Session status
Designed for quick decision-making, not clutter.
How to Use AMSC (Best Practice)
✔ Trade in the direction of the ATR trend
✔ Enter near demand/supply within the channel
✔ Confirm with factor alignment & HTF bias
✔ Use liquidity sweeps as entry triggers, not signals alone
✔ Avoid trades during low-strength or inactive sessions
AMSC performs best when used as a confluence system, not a mechanical entry-exit robot.
Ideal Use Cases
Intraday index trading
Swing trading in trending markets
Futures & FX structure-based trading
Traders who prefer context over indicators
What AMSC Is NOT
❌ Not a scalping toy
❌ Not a repainting indicator
❌ Not a one-click signal generator
It is built for disciplined traders who understand structure and risk.
Final Note
AMSC is designed to think like the market, not predict it.
Use it to read conditions, not chase signals.
MSC — BEST CLEAN SETUP (RECOMMENDED)
🎯 Design Philosophy
“Context first, signals last.”
The goal is to:
Read trend & structure at a glance
Avoid indicator overload
Let price + zones + channel do the heavy lifting
1️⃣ CORE VISUALS (KEEP ON)
These are non-negotiable.
🔹 Adaptive ATR Trend Channel
✅ ON
Primary trend bias
Use ATR Trendline Color = ON
This alone defines:
Bull vs Bear
Strength vs weakness
👉 If price is above channel → bullish context
👉 If price is below channel → bearish context
🔹 Pivot ATR Trend Channel
✅ ON
Channel fill: ON
Transparency ≥ 85
Purpose:
Visualise trend slope
Spot pullbacks inside trend
👉 Treat channel edges as dynamic structure, not entry signals.
🔹 Supply & Demand Zones
✅ ON
Transparency: 80–85
Zones auto-expire visually when violated
👉 These are your only horizontal levels.
2️⃣ SMART FILTERS (SELECTIVE)
💧 Liquidity Sweep
✅ ON
Lookback: 5
Tolerance: 0.15 ATR
👉 Use sweeps only near zones
❌ Ignore sweeps in the middle of nowhere
⏱ Session Filter
✅ ON
Trade only one session
India (for NSE)
London (for FX)
New York (for US indices)
❌ Do NOT enable multiple sessions simultaneously
🔍 Higher Timeframe (HTF)
✅ ON
Intraday: Daily
Swing: Weekly
👉 If HTF disagrees → no trade
3️⃣ WHAT TO TURN OFF (CRITICAL)
This is where clutter dies.
❌ Bollinger Bands
🚫 OFF by default
Use only when studying volatility compression
Otherwise adds visual noise
❌ Full ATR Channel (Ver 15)
🚫 OFF
Redundant with pivot + ATR trend
Keep only one channel logic
❌ SuperTrend Channel
🚫 OFF
ATR Trend Channel already covers this
❌ Pivot Levels (P, R1, S1…)
🚫 OFF
Zones replace static pivots
Too many horizontal lines = paralysis
❌ Previous Day / Week Levels
🚫 OFF
Turn ON only for index option trading
Otherwise clutter
4️⃣ MOVING AVERAGES (STRICT RULE)
Keep ONLY:
EMA Fast (9)
EMA Slow (21)
Optional:
HMA → ON only for scalping
❌ Do NOT stack multiple MAs visually
5️⃣ DASHBOARD (MINIMAL MODE)
🧭 Dashboard
✅ ON
Position: Top Right
Text Size: Small
Watch only:
Trend
Strength
HTF
Zone
Signal
Ignore factor numbers once confidence develops.
6️⃣ SIGNAL USAGE (DISCIPLINE RULE)
✔ Signal must appear inside a zone
✔ Signal must align with trend & HTF
✔ Signal must be during session
❌ Never take:
Signals mid-channel
Signals against HTF
Signals during flat strength (<30%)
7️⃣ RECOMMENDED PRESETS (COPY THIS)
🔹 Intraday (Clean)
Timeframe: 5m / 15m
HTF: Daily
Session: India / NY
BB: OFF
Full ATR: OFF
SuperTrend: OFF
Pivots: OFF
🔹 Swing (Ultra Clean)
Timeframe: 1H / 4H
HTF: Weekly
Liquidity: ON
Zones: ON
Dashboard: ON (small)
8️⃣ GOLDEN RULE (MOST IMPORTANT)
If you cannot explain the trade using only:
Trend channel
One zone
One sweep
Do not trade it.
🏁 FINAL VERDICT
AMSC is not cluttered by design.
Clutter comes from turning everything ON.
Used correctly:
The chart stays clean
Decisions become obvious
Overtrading disappears
AMSC – TRADE EXECUTION RULEBOOK
Framework rule:
Trend → Structure → Liquidity → Entry → Risk → Exit
1️⃣ MARKET PRE-CONDITIONS (MANDATORY)
❌ NO TRADE unless ALL are TRUE
✅ Trend Filter
ATR Trend Channel = Bull for longs / Bear for shorts
Trend strength ≥ 40%
Price must be on the correct side of the channel
✅ HTF Confirmation
HTF bias must match LTF trend
If HTF is neutral → NO TRADE
✅ Session Filter
Trade only during active session
No first 5 minutes after session open
No last 15 minutes before session close
2️⃣ LOCATION RULE (MOST IMPORTANT)
🔹 Long Trades
Price must be inside or just above a DEMAND zone
Zone must be:
Fresh (not tested more than twice)
Within the Pivot ATR Channel
🔹 Short Trades
Price must be inside or just below a SUPPLY zone
Same freshness rules apply
❌ No zone → no trade
3️⃣ LIQUIDITY CONFIRMATION (ENTRY TRIGGER)
🔹 Long Entry Trigger
At the demand zone, you must see:
✔ Sell-side liquidity sweep
✔ Sweep candle closes bullish
✔ Sweep occurs inside the zone
🔹 Short Entry Trigger
At the supply zone, you must see:
✔ Buy-side liquidity sweep
✔ Sweep candle closes bearish
✔ Sweep occurs inside the zone
4️⃣ ENTRY RULE (EXECUTION)
🔵 LONG ENTRY
Enter BUY when all conditions align and:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle (preferred)
🔴 SHORT ENTRY
Enter SELL when:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle
5️⃣ STOP-LOSS RULES (NON-NEGOTIABLE)
🔻 Long SL
Place SL at:
Lowest point of the demand zone
OR
Below sweep low − 0.1 ATR (whichever is lower)
🔺 Short SL
Place SL at:
Highest point of the supply zone
OR
Above sweep high + 0.1 ATR (whichever is higher)
❌ Never trail SL early
❌ Never move SL to break-even before partial exit
6️⃣ POSITION SIZE (FIXED RISK ONLY)
Risk per trade: 0.5% – 1% max
If SL distance is large → reduce position size
Do not widen SL to fit position
7️⃣ EXIT RULES (STRUCTURED)
🎯 TARGET 1 (T1 – Protection)
At 1R
Action:
Book 50%
Move SL to Break-Even
🎯 TARGET 2 (T2 – Structure)
Next opposite zone
OR
Pivot ATR Channel mid-line
Book 30%
🎯 FINAL EXIT (TREND FOLLOW)
Exit remaining 20% when:
✔ Opposite liquidity sweep occurs
✔ Price closes beyond Pivot ATR Channel
✔ HTF bias flips
✔ Session ends
8️⃣ NO-TRADE CONDITIONS (ABSOLUTE)
❌ Trend strength < 30%
❌ Zone already tested 3+ times
❌ Liquidity sweep outside zone
❌ Entry candle is oversized (>1.8 ATR)
❌ Trade against HTF
❌ Emotional or revenge trade
9️⃣ ONE-SCREEN TRADE CHECKLIST
Before clicking BUY/SELL:
✔ Trend aligned
✔ HTF aligned
✔ In session
✔ At zone
✔ Sweep confirmed
✔ SL defined
✔ R ≥ 2 possible
If any answer = NO → skip trade
🔒 DISCIPLINE STATEMENT (PRINT THIS)
AMSC does not pay for activity.
It pays for patience, location, and discipline.
🏁 EXPECTED PERFORMANCE (REALISTIC)
Win rate: 45–60%
R:R average: 1:2.5 to 1:4
Drawdown: low
Trade frequency: selective
Adaptive Market Structure Channel — Visual Layout
5
🧭 How to READ the Chart (Left → Right)
1️⃣ Core Trend Context (FIRST thing your eyes see)
ATR Trend Channel
Acts as dynamic support/resistance
Green = bullish regime
Red = bearish regime
No second trendline competing with it
👉 If price is on the wrong side → no trade
2️⃣ Pivot ATR Structure Channel (SECOND layer)
Sloping channel following real swing structure
Shows:
Trend acceleration
Healthy pullbacks
Channel fill is very light (high transparency)
👉 Pullbacks inside this channel are valid
👉 Breaks outside = caution / exit
3️⃣ Supply & Demand Zones (ONLY horizontal objects)
Few, wide, soft-colored zones
No pivot clutter, no fibs, no grids
👉 Trades happen only here
4️⃣ Liquidity Sweep Markers (EVENT-BASED)
Appears only near zones
Indicates stop-hunt, not entry by itself
👉 Sweep + zone + trend = setup
👉 Sweep alone = ignore
5️⃣ Dashboard (Decision Support, not distraction)
Small
Corner-placed
Shows only:
Trend
Strength
HTF bias
Zone
Signal
Session
👉 After experience, you’ll barely look at it
🚫 What You DO NOT See (Very Important)
A clean AMSC chart intentionally avoids:
Multiple moving averages
Pivot levels (P/R/S)
Too many channels
Oscillator panels
Bright fills or thick lines
If your chart looks “busy”, something is ON that should be OFF.
🧠 Mental Model (Keep This Image in Mind)
AMSC chart =
1 dynamic trend
1 structure channel
1 zone
1 liquidity event
1 decision
Anything more → clutter
Anything less → blind trading
✅ Final Visual Checklist (Before Trading)
✔ Chart background visible
✔ Candles clearly readable
✔ Zones visible but not loud
✔ Channel guides the eye
✔ Nothing overlaps price excessively
If yes → you are trading AMSC correctly
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER
This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors.
Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes.
Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk.
INTRODUCTION
The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels.
1.
VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume.
2.
ATR (Average True Range): Measures how much the price typically moves each day.
3.
Trend Analysis: Identifies whether the market is going up, down, or sideways.
4.
Momentum Indicators: Shows how strong the current price movement is.
5.
Support & Resistance: Identifies key price levels where the price might stop or reverse.
6.
Swing Points: Finds significant turning points in the price.
This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio.
The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction.
CORE CONCEPT AND METHODOLOGY
Volume Weighted Average Price (VWAP)
VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred.
The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average.
In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences.
Average True Range (ATR) for Risk Management
The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction;
instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels.
The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions.
Swing Detection and Support/Resistance
Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels.
The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels.
Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many
swing points to maintain in each array, ensuring that only relevant historical levels are considered.
Breakout Detection
When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings.
The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down.
Trend Identification
Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three
states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA).
The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action.
Momentum Analysis
Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30).
This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences.
CONFIGURATION PARAMETERS
VWAP Settings
The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences.
ATR Settings
The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk.
Trade Settings
The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades)
or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks.
Swing Detection Settings
The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart.
Support & Resistance Settings
The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage.
Trend & Momentum Settings
The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations.
Table Settings
The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels.
SIGNAL GENERATION LOGIC
Long Signal Conditions
A long signal is generated when all the following conditions are simultaneously true:
1.
Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET).
2.
Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation).
3.
Price Position: Current price must be above VWAP, indicating bullish price action.
4.
Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome.
5.
Momentum Alignment: Momentum must be either STRONG BULL or BUILDING.
This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement.
Short Signal Conditions
A short signal is generated when all the following conditions are simultaneously true:
1.
Session Filter: The trade must occur during New York session hours
2.
Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation)
3.
Price Position: Current price must be below VWAP, indicating bearish price action
4.
Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome
5.
Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING
Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups.
TRADE MANAGEMENT FRAMEWORK
Entry Price Calculation
For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'.
The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer.
Stop-Loss Placement
Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'.
This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection.
Target Price Calculation
Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile.
New York Session Tracking
The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level.
INFORMATION TABLES
Indicators Table
This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level.
Trade Levels Table
This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals.
ALERT CONDITIONS
The indicator includes four alert conditions that can be configured in TradingView:
1.
LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information.
2.
SHORT Signal: Triggers when a short signal is generated with corresponding trade details.
3.
Breakout Up: Notifies when price breaks out above resistance level.
4.
Breakout Down: Notifies when price breaks down below support level.
These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts.
USAGE EXAMPLES AND TRADING SCENARIOS
Strong Bullish Trend with VWAP Support
In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away.
Short Setup During Volatile Session
During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio.
Avoiding Counter-Trend Trades
Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern.
No Prior Levels Scenario
At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form.
BEST PRACTICES AND TIPS
Timeframe Selection
This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live.
Market Conditions
The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions.
Parameter Optimization
While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality.
Multiple Timeframe Analysis
For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction.
Risk Management
While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded.
INTEGRATION WITH TRADINGVIEW
Adding the Indicator
To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available.
Configuring Alerts
To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences.
Customization
All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences.
LIMITATIONS AND CONSIDERATIONS
Session Dependency
The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours.
Historical Data Requirements
The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified.
Lag in Swing Detection
By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs.
Not Financial Advice
This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results.
SUMMARY
The code follows a logical flow:
•
Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled
•
Input Parameters: All user-configurable settings grouped by category
•
Session Logic: New York session tracking and open price recording
•
Core Calculations: VWAP, ATR, EMA, RSI, swing points
•
Support/Resistance Logic: Array-based storage and retrieval of swing levels
•
Trend and Momentum Classification: Categorization of current market state
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Signal Generation: Confluence-based long and short conditions
•
Trade Level Calculations: Entry, stop-loss, and target pricing
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Visual Plots: Hidden plots for alert data access
•
Information Tables: Real-time display of key values
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Alert Conditions: Four configurable alert triggers
This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Apex Wallet - Ultimate Multi-Oscillator (9-in-1) & Market TrendThe Apex Wallet Multi-Oscillator is a powerful "All-in-One" technical analysis tool designed to clean up your charts by combining nine of the most effective momentum and trend indicators into a single workspace. This script is engineered to adapt to different trading styles—Scalping, Day-Trading, or Swing-Trading—with a single click.
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Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics.
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Key Features
9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI).
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Smart Layout Modes:
Raw (Brut): Classic view with original values.
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Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping.
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Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators.
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Trading Presets: Switch between Scalping, Day-Trading, and Swing-Trading modes. The script automatically adjusts periods and lengths (e.g., RSI 7 for Scalping vs. 21 for Swing) to match the market speed.
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Included Oscillators
Stochastic & RSI: Standard momentum tools with color-coded signals.
Traders Dynamic Index (TDI): A full suite including the RSI Price Line, Signal Line, and Market Base Line with optional Bollinger Bandwidth columns.
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MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement.
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Andean Oscillator: An advanced tool to identify Bull/Bear dominance and market "Range" or "Reversal" states.
Visual Signals & Alerts
Market Trend: Optional visual coloring based on indicator crosses to quickly spot bullish or bearish momentum.
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Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface.
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Integrated Alerts: Pre-configured alerts for Andean Oscillator trend changes (Bullish, Bearish, or Reversal).
How to use
Select your Trading Mode in the settings based on your timeframe.
Toggle the indicators you want to see.
Use the Stacked mode if you want to keep your sub-window organized without lines crossing each other.
SUMA VuManChu Cipher B Revised to V6// This indicator is an updated version of the original WuManChu Cipher B indicator, I updated it to v6 and fixed a few things that were no longer supported in v6 from the original v3 or v4.
// I also made the RSI and Stoch to fully comedown to the bottom of the display panel to reflect what the rest of the parameters are doing, I adjusted the money flow to be more sensitive.
// I tried to leave the logic as it was original intended to be used,
// I renamed and put everything together, it was a bit challenging but Cipher B is such a great indicator that I think it deserved the update and the time I put into it.
Smart Trader, Episode 02, by Ata Sabanci | Battle of Candles ⚠️ CRITICAL: READ BEFORE USING ⚠️
This indicator is 100% VOLUME-BASED and requires Lower Timeframe (LTF) intrabar data for accurate calculations. Please understand the following limitations before using:
📊 DATA ACCURACY LEVELS:
• 1T (Tick) — Most accurate, real volume distribution per tick
• 1S (1 Second) — Reasonably accurate approximation
• 15S (15 Seconds) — Good approximation, longer historical data available
• 1M (1 Minute) — Rough approximation, maximum historical data range
⚠️ BACKTEST & REPLAY LIMITATIONS:
• Replay mode results may differ from live trading due to data availability
• For longer back test periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
💡 A NOTE ON TOOLS:
Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure.
📌 OVERVIEW
Smart Trader Episode 02: Battle of Candles is an advanced educational indicator that combines multiple analysis engines to help traders identify market scenarios and understand market dynamics. This is NOT financial advice or a trading signal service — it's a learning tool designed to help you understand how institutional traders might interpret price action.
The indicator integrates 7 major analysis engines into a unified dashboard, providing real-time insights into volume flow, trend structure, market phases, and potential trade setups.
⚡ KEY FEATURES
🎯 16-Pattern Scenario Engine
Automatically detects and classifies market conditions into 16 distinct scenarios, from strong continuation moves to potential reversals and traps.
💰 Trade Advisor Panel
Aggregates all signals into actionable suggestions with confidence levels, suggested entry/SL/TP levels, and risk/reward calculations.
📊 Volume Engine
Splits volume into buy/sell components using either Geometry (candle shape) or Intrabar (LTF data) methods for precise delta analysis.
📈 CVD (Cumulative Volume Delta)
Tracks the running total of buying vs selling pressure to identify accumulation, distribution, and divergences.
🎯 Stop-Hunt Detection
Identifies potential stop-hunt patterns where price sweeps liquidity levels before reversing.
📐 Pure Structure Trend Engine
Zero-lag trend detection based on swing highs/lows (HH/HL/LH/LL) without any lagging indicators.
⚡ Effort vs Result Analysis
Measures energy spent (volume) versus ground taken (price movement) to detect stalls, breakthroughs, and exhaustion.
🎯 SCENARIO ENGINE — 16 Market Patterns
The Scenario Engine analyzes multiple factors (candle anatomy, volume, forces, CVD, wick analysis) to classify each candle into one of 16 scenarios:
Continuation Scenarios (1-3)
1. ⚔️ STRONG MOVE — Big body candle (>60%) with volume confirming direction. Indicates strong momentum continuation.
2. 🛡️ ABSORPTION — One side attacks but the other absorbs the pressure. Price holds despite volume. Continuation expected in the absorbing side's favor.
3. 📉 PULLBACK — Small move against the trend with low volume. Indicates a healthy retracement before trend continuation.
Reversal Scenarios (4-6, 13-16)
4. 💥 REJECTION — Big wick (>40%) with small body and high volume. Price was rejected
at a level, potential reversal.
5. 🪤 TRAP — Pin direction disagrees with delta. Extreme wick size. Looks bullish/bearish but the opposite may happen.
6. 😫 EXHAUSTION — High energy spent (volume) but low ground taken (price movement). Both sides active but momentum fading.
13. 🔄 CVD BULL DIV — Price falling but CVD rising. Hidden buying detected (accumulation). Potential bullish reversal.
14. 🔄 CVD BEAR DIV — Price rising but CVD falling. Hidden selling detected (distribution). Potential bearish reversal.
15. 🎯 STOP HUNT BULL — Shorts were liquidated below support. Price swept liquidity and reversed. Expect bullish move.
16. 🎯 STOP HUNT BEAR — Longs were liquidated above resistance. Price swept liquidity and reversed. Expect bearish move.
Range/Stalemate Scenarios (7-9)
7. ⚖️ DEADLOCK — Market in balance. Force ratio between 0.4-0.6. Low volume. No side winning.
8. 🔥 BATTLE — High volume fight in a range. Both sides attacking. Wicks on both ends of candle.
9. 🎯 WAITING — Building phase with quiet volume. Market is preparing but no trigger yet. Wait for breakout.
Pre-Breakout Scenarios (10-12)
10. 🚀 BULL SETUP — Buyers accumulating in a building phase. Positive delta building. Bullish pressure growing.
11. 💣 BEAR SETUP — Sellers distributing in a building phase. Negative delta building. Bearish pressure growing.
12. ⚡ BREAKOUT — Price at boundary with strong candle and volume supporting. Imminent breakout expected.
💰 TRADE ADVISOR ENGINE
The Trade Advisor aggregates all signals from the different engines into a single actionable output. It uses a weighted scoring system:
Scoring Weights:
• Scenario Signal: 30%
• Trend Alignment: 20%
• CVD Momentum: 15% + Divergence Bonus
• Pin Forces: 15%
• Liquidity Sweep: 12%
• Stop-Hunt Detection: 10%
• Effort vs Result: 10%
Possible Actions:
• ⏳ WAIT — Edge not strong enough (stay patient)
• 🟢 LONG ENTRY — Buyers have strong advantage + signals align
• 🔴 SHORT ENTRY — Sellers have strong advantage + signals align
• ⚠️ CLOSE LONG/SHORT — Position at risk (reversal/trend flip)
• 🛑 STOP LOSS — Price hit risk threshold
• 💰 TAKE PROFIT — Target threshold reached
📊 EXTENDED INFO PANEL (Detailed Explanations)
The Extended Info panel is hidden by default (toggle: Show Extended Info in settings). It provides detailed metrics that feed into the main engines:
CVD ANALYSIS
What is CVD?
Cumulative Volume Delta (CVD) is the running total of Buy Volume minus Sell Volume. It reveals the underlying buying/selling pressure that may not be visible in price alone.
CVD Value & Slope:
• ↗ Rising: CVD increasing = net buying pressure (bullish)
• ↘ Falling: CVD decreasing = net selling pressure (bearish)
• → Flat: No clear pressure direction
Accumulation vs Distribution:
• Accumulation %: Shows buying pressure strength (0-100). High accumulation with CVD rising = strong bullish bias.
• Distribution %: Shows selling pressure strength (0-100). High distribution with CVD falling = strong bearish bias.
Divergence Alerts:
• ⚠️ BULLISH DIVERGENCE: Price falling but CVD rising. Hidden buying = potential reversal UP.
• ⚠️ BEARISH DIVERGENCE: Price rising but CVD falling. Hidden selling = potential reversal DOWN.
WICK ANALYSIS
Wick Torque:
Torque measures the "rotational force" from wicks. It's calculated from wick length, volume, and body efficiency.
• Positive Torque (Bullish): Bottom wick power dominates. Buyers defended lower prices.
• Negative Torque (Bearish): Top wick power dominates. Sellers defended higher prices.
• ⚡ High Torque (>30): Strong signal, significant wick rejection occurred.
Stop-Hunt Detection:
The engine detects when price has likely swept stop-losses clustered at key levels:
• Stop Hunt Risk %: Likelihood score (0-100). Above 55% = confirmed hunt.
• "Shorts hunted": Price swept below support, liquidating shorts, expect bounce UP.
• "Longs hunted": Price swept above resistance, liquidating longs, expect drop DOWN.
LIQUIDITY SWEEPS
This section appears only when a liquidity sweep is detected. The engine monitors for price sweeping recent highs/lows and then reversing:
• 🎯 LIQUIDITY SWEPT ABOVE: Price broke recent highs but closed back below. Longs trapped, expect DOWN.
• 🎯 LIQUIDITY SWEPT BELOW: Price broke recent lows but closed back above. Shorts trapped, expect UP.
POWER BALANCE
The Power Balance meter shows the real-time strength comparison between buyers and sellers.
Force Ratio:
• 0% = Complete seller dominance
• 50% = Perfect balance
• 100% = Complete buyer dominance
Visual Bar:
• Left side (▓): Bear territory
• Right side (▓): Bull territory
• The bar is smoothed over recent history to reduce noise.
EFFORT vs RESULT
This section measures the efficiency of price movement relative to volume expended.
Energy:
How much volume was spent relative to the average. Energy > 1.0x means above-average volume activity.
Ground:
How much price movement occurred relative to average range. Ground > 1.0x means above-average price movement.
STALL Warning:
A STALL is detected when high energy is spent but low ground is taken (high effort, low result). This often indicates institutional battle, exhaustion, or imminent reversal.
MARKET PHASE
The Phase Engine classifies the current market regime:
RANGE : No clear trend. Price confined to middle of channel. Low ADX. Balanced forces. Trade breakouts with caution.
BUILDING : Compression/preparation phase. Channel tightening or boundary penetration without follow-through. Watch for breakout direction.
TRENDING : Active directional move. Clear slope, good efficiency, price on trending side of channel. Favor pullback entries.
Strength:
0-100% score combining slope, volume validity, and force/efficiency filters.
Bars: How many candles the current phase has persisted.
TRACK RECORD (Validation Panel)
Enable with Show Validation Panel in settings. This section tracks the historical accuracy of scenario predictions:
Accuracy: Percentage of validated predictions that were correct.
Best/Worst Scenario: Shows which scenarios have the highest and lowest accuracy on the current symbol.
Recent Signals: Last 5 predictions with their outcomes. ✓ = correct, ✗ = wrong, ⏳ = pending validation.
⚙️ SETTINGS GUIDE
📊 Volume Analysis
Volume Calculation: Choose Geometry (estimates from candle shape) or Intrabar (precise LTF data).
Intrabar Resolution: LTF for precise mode. Try 1S, 15S, or 1T. Must be lower than chart timeframe.
History Depth: Candles stored in memory (5-50). Higher = more context, slower.
Memory Lookback: Bars for moving averages and Z-scores (10-100).
🏷️ Market Phase
Range Zone Width: How much of channel center is considered "range" (0.1-0.8).
Trend Sensitivity: Minimum slope to detect trending. Lower = more sensitive.
Min Episode Length: Minimum bars before phase can change. Prevents flickering.
🎯 Scenarios
Min Confidence to Show: Only display scenarios above this confidence level (30-90).
Bars to Validate: How many bars to wait before checking if prediction was correct.
Success Move %: Minimum price movement to consider prediction successful.
💰 Trade Advisor
Min Confidence for Entry: Minimum confidence to suggest a trade entry (50-90).
Default Risk %: Stop loss distance as % of price (0.5-5.0).
Min Risk/Reward: Minimum acceptable R:R ratio (1.0-5.0).
🔔 ALERT CONDITIONS
The indicator provides the following alert conditions you can configure:
• 🟢 LONG Entry Signal
• 🔴 SHORT Entry Signal
• ⚠️ Close LONG Signal
• ⚠️ Close SHORT Signal
• 🛑 STOP LOSS Alert
• 💰 Take Profit Alert
• 🚨 High Urgency Signal
⚠️ IMPORTANT DISCLAIMER
EDUCATIONAL TOOL ONLY
This indicator is designed for educational purposes to help users identify different market scenarios and understand how various signals might be interpreted.
The Trade Advisor is NOT a recommendation to buy, sell, or invest.
• Past performance does not guarantee future results
• All trading involves risk of loss
• The creator is not a licensed financial advisor
• Always do your own research (DYOR)
• Consult a qualified financial advisor before making any investment decisions
By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
Spring & Upthrust Trap (Zeiierman)█ Overview
Spring & Upthrust Trap (Zeiierman) is a Wyckoff-style “range sweep” indicator that highlights liquidity traps using a simple ZigZag pivot structure. It’s designed to catch the moment price briefly breaks a range boundary to trigger stops, then quickly snaps back into the range (rejection).
⚪ What It Detects
A Spring (Bull) is a downside fakeout. Price sweeps below the range boundary (taking liquidity), then rejects and returns back above the opposite boundary. In other words, it looks bearish for a moment, then flips bullish as the sweep fails.
An Upthrust (Bear) is the upside version. Price sweeps above the range boundary, then rejects and falls back through the opposite boundary. It looks bullish briefly, then flips bearish when that breakout fails.
█ How It Works
⚪ 1) Pivot Extraction (ZigZag Structure)
The script first compresses price into a small set of swing pivots using a ZigZag-style method driven by ZigZag Length. A bar becomes a pivot when it is the highest/lowest point inside the lookback window.
⚪ 2) Pattern Framing (X → A → B → C)
When there are at least four pivots available, the script maps the most recent pivot sequence into four labeled points:
X and A define the range boundaries (the box height is based on |A − X|)
B is the sweep pivot (the “fakeout” that breaks a boundary)
C is the rejection/snapback pivot that confirms the sweep failed
This is the minimum structure needed to define a trap without overfitting.
⚪ 3) Sweep Sizing (Filtering Noise vs Real Sweeps)
Not all boundary breaks are meaningful. The script measures sweep magnitude relative to the range size:
Sweep Fraction: |B − X| / |A − X|
This does two things:
Filters tiny pokes through a boundary (often random noise)
Filters extremely large breaks that are more likely to be true trend continuation rather than a trap
This is controlled by:
Min Sweep (minimum required violation)
Max Sweep (maximum allowed violation)
⚪ 4) Spring vs Upthrust Logic (Directional Trap Detection)
The script then decides which trap is forming:
Spring (Bull)
A downside sweep that fails: price breaks below the boundary, then returns strongly back through the opposite side.
Upthrust (Bear)
An upside sweep that fails: price breaks above the boundary, then returns strongly back through the opposite side.
█ How to Use
⚪ Interpreting a Spring (Bull)
A Spring is best treated as a failed breakdown. The sweep suggests stops were taken under the range, but the snapback implies that the market rejected lower prices.
Common behaviors after a good Spring:
fast reclaim back into the range
retest of the boundary from above (acceptance test)
continuation away from the sweep area if buyers remain in control
⚪ Interpreting an Upthrust (Bear)
An Upthrust is a failed breakout. Stops get taken above the range, but the price cannot hold outside and collapses back into/through the structure.
Common behaviors after a good Upthrust:
rejection wick and rapid return
retest of the boundary from below
continuation downward if sellers remain in control
█ Settings
ZigZag Length – pivot sensitivity. Higher = smoother, fewer signals. Lower = more pivots, more traps.
Show Patterns – detect Springs only, Upthrusts only, or both.
Min Sweep – minimum sweep size relative to range height (filters micro sweeps).
Max Sweep – maximum sweep size relative to range height (filters “real breaks”).
Confirm Pad – extra snapback requirement beyond the boundary (adds confirmation).
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud
Overview
The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator.
Key Features
Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure.
Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility.
Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases.
High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop.
Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis.
How It Works
The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction.
Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries.
Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance.
Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud.
How multiple indicators work together
In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both:
The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends.
The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction.
By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend.
Trading Ideas and Insights
Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions.
Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend).
Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration.
Unique Aspects
Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction.
Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly.
How to Use
Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure.
Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact.
Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal.
Customization
Users can fully customize the indicator via the settings menu:
Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets.
Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states.
Conclusion
The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset.
It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp.
For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets.
The data is displayed on a dashboard, which is the tool's only visual element.
Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default.
🔹 Displayable Data
Traders can choose from four types of data to display: last price, last volume, average price, and average volume.
Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed.
As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT.
🔹 Reading the Matrix
Traders must read the data in a row-by-column format, as shown in the following example.
Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20.
It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B.
If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B.
🔹 Matrix Style
Traders can change the colors and disable the background gradient, which is enabled by default.
They can also fine-tune the location and dashboard size from the settings panel.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
Crypto Exchanges: Enable or disable any available exchange.
Forex Brokers: Enable or disable any available broker.
🔹 Dashboard
Data: Select the data to display.
Position: Select the dashboard location.
Size: Select the dashboard size.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Background Gradient: Enable background gradient color.
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
Wave Dynamics - Neural Adaptive Engine🌊 WAVE DYNAMICS - NEURAL ADAPTIVE ENGINE
The Official Reference Manual & Trading Protocol
═════════════════════════════════════════════════════════════
📖 PREFACE: THE END OF STATIC ANALYSIS
The financial markets are not linear; they are fractal. They do not move in straight lines; they breathe. They expand in trending volatility and contract in chopping noise.
The fundamental failure of traditional technical analysis is Static Sensitivity .
• A 14-period RSI works beautifully in a range but fails in a trend.
• A 12,26 MACD captures trends but destroys capital in chop.
Wave Dynamics solves this by treating the market as a living organism. At its core is a Neural Adaptive Engine that calculates the Hurst Exponent (Fractal Dimension) in real-time. It measures the "roughness" of price action and automatically adjusts the lookback periods of every subsystem—Waves, Ribbons, and Oscillators—to match the current market regime.
This manual is your guide to navigating this adaptive framework.
PART 1: THEOLOGY & MARKET PHYSICS
To use this tool, you must understand the three pillars of its logic:
1. The Hurst Exponent (Chaos Theory)
The engine continuously calculates H (Hurst) on a rolling window.
• Persistent Regime (H > 0.5): "What is happening now is likely to continue." The market is trending. The Engine Tightens sensitivity to catch fast pullbacks.
• Anti-Persistent Regime (H < 0.5): "What is happening now is likely to reverse." The market is chopping/ranging. The Engine Widens sensitivity to filter out noise and stop runs.
2. The Elliott Wave Cycle (Crowd Psychology)
Price moves in 5-wave motive sequences followed by corrections.
• Waves 1 & 3: Institutional Accumulation/Mark-up.
• Waves 2 & 4: Profit Taking (The Pullback). These are the only safe entry points.
• Wave 5: Retail FOMO (The Trap). Identified by Momentum Divergence .
3. Smart Money Concepts (Liquidity)
Price moves from liquidity to liquidity.
• Order Blocks: Where institutions initiated the move.
• Breakers: Where institutions trapped traders (Support flips to Resistance).
• Fair Value Gaps: Where price moved too fast, leaving inefficiency.
PART 2: VISUAL INTELLIGENCE (COLOR THEORY)
The chart communicates instantly through a strict color-coded language.
🎨 THE RIBBON (Adaptive Equilibrium)
The background "Cloud" is an Adaptive EMA ribbon.
• Neon Green (#00FF88): Bullish Trend. Only look for Longs. Price is above the equilibrium mean.
• Neon Red (#FF3366): Bearish Trend. Only look for Shorts. Price is below the equilibrium mean.
• Grey/Narrow: Compression. The market is deciding. Do not trade inside a grey ribbon.
🎨 INSTITUTIONAL ZONES
• Green/Red Boxes (Order Blocks): Standard Support/Resistance. Valid entry zones, but lower probability.
• Vivid Purple Boxes (#9C27B0) - THE BREAKER: CRITICAL. This appears when a Green Order Block is smashed through by price. It turns Purple to signify it has flipped from Support to Resistance (or vice versa). A retest of a Purple Zone is the highest probability setup in the system.
• Dotted Outlines (FVG): Magnets. Do not place stops inside these; price will likely travel through them.
🎨 WAVE ANATOMY
• Cyan Lines: Valid Impulse Waves (1, 3, 5).
• Orange Lines/Dots: EXHAUSTION. If a wave line turns Orange, Angular Momentum is decaying. The trend is dying.
• Diamonds (◆): DIVERGENCE. Price made a Higher High, but the internal oscillator (MPI) made a Lower Low. Immediate reversal warning.
🎨 SIGNALS
• Triangles: Confirmed Entries. (Green = Long, Red = Short).
• Labels (e.g., A+): The Grade of the trade based on Confluence.
• A+: Perfect Confluence (Trend + Structure + Zone + Momentum).
• C: Counter-trend or Weak.
PART 3: THE DASHBOARD ECOSYSTEM
Three panels provide Total Situational Awareness. You must read them in order: Top Right → Bottom Left → Bottom Right.
1. MISSION CONTROL (Top Right)
This panel tells you the "Weather Report."
• Neural Status:
• 🧠 TREND: Safe to trade breakout and trend-following strategies.
• 🧠 CHOP: Danger. Use mean-reversion or stay out.
• 🧠 RND (Random): No clear edge.
• Phase: Displays the Bias (Bull/Bear) and Strength. "WEAK BEARISH" usually signals a bottom is forming.
• Score Bar: A live visual meter of the Confluence Score (0-100%).
2. THE ASSISTANT (Bottom Left)
This panel acts as your co-pilot, translating data into English.
• Situation:
• "💎 BULL GEM": You are in a range, at the bottom, showing exhaustion. Buy immediately.
• "🔥 COMPRESSION": Volatility squeeze. A violent move is imminent.
• Action: Tells you exactly what to do (e.g., "Wait for confluence," "Trail Stop," "Let it develop").
• Pro Metrics (Simulated):
• Win Rate: The percentage of signals on the current visible chart that hit Target 1.
• Profit Factor: Gross Win / Gross Loss. If this is < 1.0, stop trading this asset immediately.
• Buckets: Shows the win rate of A-Grade signals vs. C-Grade signals.
3. WAVE INTELLIGENCE (Bottom Right)
This panel provides structural context.
• Channel Gauge (0-100%):
• 0-20%: Oversold / Channel Bottom.
• 80-100%: Overbought / Channel Top.
• 50%: Equilibrium.
• W3/W1 Ratio: The "Health Check" of the trend.
• < 1.0: Weak. Wave 3 is shorter than Wave 1. The trend is struggling.
• > 1.618: Extended. The move is parabolic. Expect a snap-back.
• Trend Health (0-100): Composite score of sub-wave physics. If Health < 30, the trend is effectively dead.
PART 4: PARAMETER OPTIMIZATION (THE INPUTS)
Every input allows you to tune the engine. Here is the deep dive:
🧠 NEURAL ADAPTIVE ENGINE
• Enable Neural Adaptive Engine: Master switch for the Hurst calculation.
• Hurst Period (100):
• Adjustment: Increase to 200 for Crypto/Alts (too much noise). Decrease to 50 for
Forex/Indices (need speed).
• How to tell: If the dashboard says "TREND" but the chart is sideways, INCREASE this value.
• Min/Max Lookback: Defines the constraints. Only adjust if you are an advanced user creating a custom scalping setup (e.g., Min 3 / Max 10).
🌊 WAVE & STRUCTURE
• Base Swing Detection (8): The "Anchor."
• Scalpers (1m-5m): Set to 5-8.
• Swing Traders (1H-4H): Set to 15-20.
• Min Wave Size (ATR): Prevents the script from labeling tiny wicks as waves. Increase this during high-volatility news events.
🔗 MTF STRUCTURE MAPPING
• Require Macro Align: Strict Mode. If enabled, the script checks the Higher Timeframe (e.g., 4H). If 4H is Bearish, it BLOCKS all Long signals on the 5m chart. Use this to prevent counter-trend losses.
🏦 SMART MONEY CONCEPTS
• Enable Breakers: ALWAYS ON. This turns failed Order Blocks into Breaker Zones (Purple).
• Institutional Mode: ULTRA STRICT. If enabled, signals will ONLY fire if price is physically touching an Order Block, FVG, or Breaker. This creates very few, very high-quality signals.
🎯 SIGNAL ENGINE
• Signal Mode:
• Strict: Grades A+ and A only.
• Balanced: Grades B and above.
• Aggressive: Includes counter-trend scalps (Grade C).
• Min Confluence Score (5-35): The raw points needed to trigger. 5 is standard. 10 is conservative.
PART 5: TRADE EXECUTION PLAYBOOKS
PLAYBOOK A: THE "BREAKER RETEST" (Highest Probability)
1. Context: Ribbon is Green.
2. Event: Price creates a Red Order Block, then smashes upward through it.
3. Change: The Red Block turns Purple (Bullish Breaker).
4. Trigger: Price pulls back down to touch the top of the Purple Box.
5. Signal: Green Triangle appears.
6. Action: Max Size Entry. Stop Loss below the Purple Box. Target Wave 3 Projection.
PLAYBOOK B: THE "WAVE 4 DIP" (Trend Following)
1. Context: Wave count shows "3". Ribbon is Green.
2. Event: Price pulls back towards the Ribbon.
3. Wave Panel: Wave count flips to "4".
4. Trigger: Price touches Ribbon, prints Green Triangle.
5. Action: Standard Size Entry. Stop Loss at Swing Low. Target New High (Wave 5).
PLAYBOOK C: THE "HIDDEN GEM" (Range Reversal)
1. Context: Ribbon is Grey (Consolidation). Neural Status is CHOP.
2. Wave Panel: Channel Gauge is < 10% (Extreme Bottom).
3. Visuals: Orange Exhaustion Dot + Divergence Diamond (◆).
4. Assistant: Reads "💎 BULL GEM".
5. Action: Half Size Entry. This is a counter-trend trade. Target the middle of the range (50% Channel).
PLAYBOOK D: THE "BULL TRAP" (When to Fold)
1. Context: Wave Count is "5".
2. Wave Panel: Trend Health < 30. W3/W1 Ratio > 1.618 (Extended).
3. Visuals: Orange Line appears on price high.
4. Signal: Green Triangle appears (Grade C).
5. Action: NO TRADE. The system is warning you that even though a signal fired, the structural physics indicate exhaustion.
PART 6: GRADING & SCORING MATRIX
Every signal is graded on a 35-point scale. Know what you are buying.
• Trend Alignment (5 pts): Ribbon & HTF agreement.
• Structure (5 pts): BOS (Break of Structure) & Higher Highs.
• Physics (5 pts): MPI (Volume Flow) & Angular Velocity.
• Institutional Location (10 pts):
• Inside Order Block: +3 pts
• Inside Breaker: +4 pts
• Wave 2/4 Pullback: +3 pts
• Penalty: Wave 5 Extension (-3 pts).
Grade Scale:
• A+ (Score ≥ 70%): "All In" Setup.
• A (Score 55-69%): Strong Setup.
• B (Score 40-54%): Standard Setup.
• C (Score < 40%): Dangerous.
PART 7: RISK DISCLOSURE & LIMITATIONS
1. The Reality of Adaptation (Redrawing):
The Neural Engine is dynamic. As new data arrives, the calculation of "Chaos" changes. This means historical channel lines or wave labels may shift to fit the matured trend. HOWEVER: Entry Signals (Triangles) NEVER repaint once the bar is closed.
2. Simulation vs. Reality:
The Dashboard metrics (Win Rate, Profit Factor) are Simulations run on the historical data visible on your chart. They do not account for spread, slippage, or liquidity. They are a tool to gauge the current market personality, not a promise of future returns.
3. No Financial Advice:
Wave Dynamics is a tool for structural analysis. It helps you see the market, but it cannot trade for you. You are responsible for your own risk management.
CLOSING THOUGHTS
Wave Dynamics is not just an indicator; it is a lens. It allows you to see the market not as a random walk of candles, but as a structured, breathing entity.
Trust the Neural Status. Respect the Breakers. Fear the Exhaustion.
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
SMC + Dual UT Bot buy and sell AlertsMise a jour avec un EMA 20/50 et vwap
his script is a composite indicator for TradingView (Pine Script v5) that merges Smart Money Concepts (SMC) with a Dual-instance UT Bot. It has been styled with a high-contrast "Neon Cyberpunk" theme (Cyan/Pink) and is fully compliant with the CC BY-NC-SA 4.0 license.
Here is a breakdown of its two main components:
1. Smart Money Concepts (SMC)
This portion, originally by LuxAlgo, is designed to identify institutional price levels and structural market shifts. It provides a detailed map of market structure rather than simple entry/exit signals.
Market Structure (BOS & CHoCH):
BOS (Break of Structure): Marks trend continuation (e.g., breaking a higher high in an uptrend).
CHoCH (Change of Character): Marks potential trend reversals (e.g., the first time a higher low is broken in an uptrend).
Order Blocks (OB):
Highlights specific candles where institutional buying or selling likely occurred. These act as high-probability support/resistance zones.
Neon Blue/Cyan for Bullish OBs.
Neon Pink for Bearish OBs.
Fair Value Gaps (FVG):
Identifies imbalances (gaps) in price action where the market often returns to "fill" orders.
Neon Mint for Bullish FVGs.
Neon Red for Bearish FVGs.
Premium/Discount Zones: Automatically plots the range equilibrium (50% level) to help you buy in "Discount" (low) and sell in "Premium" (high) areas.
Liquidity (EQH/EQL): Automatically detects "Equal Highs" and "Equal Lows," which are magnets for price as they represent liquidity pools (stop losses).
2. Dual UT Bot Alerts
This portion provides the actual Entry Signals. It runs two separate instances of the "UT Bot" strategy simultaneously with different sensitivity settings to filter noise.
Instance 1 (Buy Only):
Settings: Key Value = 4, ATR Period = 10 (Faster, more sensitive).
Visual: Plots a Neon Cyan "Buy" label.
Function: Looks for bullish reversals earlier to catch the start of a move.
Instance 2 (Sell Only):
Settings: Key Value = 7, ATR Period = 20 (Slower, smoother).
Visual: Plots a Neon Pink "Sell" label.
Function: Uses a wider ATR band to avoid getting shaken out of shorts too early, focusing on major downtrends.
How to Use It
The strength of this script is confluence.
Wait for a Signal: Look for a UT Bot "Buy" or "Sell" tag.
Confirm with SMC: Check if the signal aligns with SMC concepts.
Example Buy: Did the UT Bot give a "Buy" signal while price was bouncing off a Bullish Order Block?
Example Buy: Did price just sweep Liquidity (EQL) before the Buy signal?
Example Sell: Is the "Sell" signal happening inside a Premium Zone or a Bearish Fair Value Gap?
avant-hier
Notes de version
1. "Pro" Badge Buy/Sell Labels
The standard text signals have been replaced with modern, professional Badge Labels that provide more information at a glance.
Visuals: Instead of simple text, the script now uses label.new to create high-visibility badges.
BUY: A Neon Cyan badge with a Rocket icon (🚀).
SELL: A Neon Pink badge with a Chart icon (📉).
Price Details: Each badge displays the exact Entry Price directly on the label.
Tooltips: If you hover your mouse over a Buy or Sell badge, a tooltip will appear showing the exact Take Profit (TP) and Stop Loss (SL) prices calculated for that trade.
2. Dynamic Take Profit (TP)
The script now automatically calculates a profit target for every trade the moment a signal is generated.
Calculation: It measures the distance between your Entry Price and the initial Stop Loss (the ATR Trailing Stop).
Risk:Reward: It multiplies that distance by your chosen Risk:Reward Ratio (default is 1.5) to project a TP target.
Visual Line: A Green Line is drawn on the chart at the TP level. It remains active until price hits it or the stop loss.
3. Active Trailing Stop Loss (SL)
The Stop Loss is no longer static; it is now "alive" and manages the trade for you.
Trailing Logic: If Use Trailing SL? is enabled (default), the SL line will automatically move up (for longs) or move down (for shorts) as the trend continues in your favor. It locks in profit by following the UT Bot's ATR trailing band.
Visual Line: A Red Line is drawn at the SL level. You can see it physically step up or down on the chart as the trend progresses.
4. Real-Time Trade Simulation
The script now simulates the lifecycle of a trade directly on the chart:
Active State: When a trade is live, the TP and SL lines extend to the right of the current candle (bar_index + 1), showing you exactly where your exit points are in real-time.
Closed State: Once the price hits either the Green TP line or the Red SL line, the script detects the "Exit." The lines stop extending and turn dotted, indicating that the trade is closed and waiting for the next signal.
Summary of New Settings
You will find a new group in the settings panel called "UT Bot: Trade Management":
TP Risk:Reward Ratio: Adjust this to change how far the Green TP line is placed (e.g., set to 2.0 for 2x return).
Use Trailing SL?: Uncheck this if you want the Red SL line to stay fixed at the initial entry risk level.
avant-hier
Notes de version
1. Live Strategy Performance Dashboard (Backtester)
Since this is an indicator, TradingView does not automatically calculate PnL (Profit and Loss). I have built a custom Simulation Engine inside the script that tracks every UT Bot signal as if you had taken the trade.
Location: Bottom Right of your chart.
Win Rate: Displays the percentage of trades that hit the Take Profit target versus the Stop Loss.
Trades (W/L): Shows the total number of signals generated, broken down by Wins and Losses.
Net Profit (R): Calculates your theoretical profit in "R-Multiples" (Risk Units).
Example: If you set your Risk:Reward to 2.0, every win adds +2R, and every loss subtracts -1R.
Dynamic Colors: The Win Rate and Profit cells turn Neon Cyan if positive (>50% or >0R) and Neon Pink if negative.
2. Multi-Timeframe Trend Dashboard
A new panel at the Top Right gives you an instant "Market Bias" reading so you don't have to scan the whole chart.
SMC Trend: Reads the Smart Money structure (Break of Structure/Change of Character) to determine if the high-level timeframe is BULLISH or BEARISH.
UT Bot Status: Displays the current active signal state:
BUY (Active): You are currently in a Long trade.
SELL (Active): You are currently in a Short trade.
NEUTRAL: No active signal or the last trade hit TP/SL.
3. Integrated Alert System
I have connected the visual lines to the alert system. You can now set a single alert on this indicator, and it will trigger for:
Entry Signals: "UT Long Entry" / "UT Short Entry"
Exits: "Take Profit Hit" / "Stop Loss Hit"
4. Consolidated Settings
To make the script easier to manage, I organized the settings into clear groups:
Dashboards: Toggle the visibility of the new panels or move the Performance Panel to a different corner.
UT Bot: Trade Management: Quickly adjust your Risk:Reward Ratio (e.g., change from 1.5 to 2.0) to see how it affects your Win Rate in real-time on the dashboard.
avant-hier
Notes de version
1. Multi-Timeframe (MTF) Trend Scanner
I have replaced the basic "Market Bias" panel with a comprehensive MTF Trend Dashboard located at the Top Right of your chart.
What it tracks: It simultaneously monitors the trend direction on 5 distinct timeframes:
15 Minute
1 Hour
4 Hour
Daily
Weekly
How it works: It runs a background calculation (using UT Bot settings Key=5, ATR=15) on these higher timeframes without you needing to switch charts.
Visuals:
BULLISH: Highlighted in Neon Cyan.
BEARISH: Highlighted in Neon Pink.
2. Strategic Confluence (How to use it)
This new dashboard transforms the script from a simple "signal generator" into a complete trading system by allowing you to filter trades based on the bigger picture.
The "All-Green" Rule: If you are scalping on a 5-minute chart and you get a BUY signal, check the dashboard. If the 1H, 4H, and Daily are all Neon Cyan (Bullish), that trade has a significantly higher probability of success.
Avoid Counter-Trend Trades: If your main chart says BUY, but the dashboard shows the 4H and Daily are Neon Pink (Bearish), you are trading against the major trend. You might want to skip that trade or reduce your risk size.
3. Summary of Dashboards
You now have two professional-grade panels on your screen:
Bottom Right (Performance): Shows the past results of the strategy on your current timeframe (Win Rate, Profit Factor).
Top Right (Trend): Shows the current state of the market across all timeframes.
Squeeze ChannelSqueeze Channel
Volatility compression is one of the most reliable precursors to significant price movement. When markets consolidate, energy builds—like a coiled spring waiting to release. This indicator detects these compression phases using the classic squeeze methodology, then captures the consolidation range as a tradeable channel. The tighter the squeeze, the more potential energy stored for the eventual breakout.
What makes this approach effective is the combination of volatility-based timing with price structure. Rather than blindly trading every squeeze release, the indicator defines clear breakout levels based on the actual swing highs and lows formed during compression. This creates objective entry triggers while the squeeze intensity gradient (yellow → red) helps gauge the quality of the setup before committing.
How It Works
Squeeze Detection
The indicator identifies periods of volatility compression when Bollinger Bands contract inside Keltner Channels. A 5-color gradient (yellow → orange → red) visualizes squeeze intensity in real-time—the tighter the squeeze, the closer to red.
Channel Formation
When a squeeze begins, the indicator captures a swing high/low channel:
- Lookback : Grabs the highest high and lowest low over the past N bars
- Lookforward : Allows the channel to expand if price exceeds bounds in the first few bars
- Lock : Once the expansion window closes, the channel locks in place
The channel persists until price breaks out, regardless of whether the squeeze has ended.
Signal Types
Primary Signals
Bullish Breakout | 🔼 Teal Triangle | Close above channel high
Bearish Breakout | 🔽 Red Triangle | Close below channel low
Failed Breakout Reversals
When enabled, the indicator watches for failed breakouts—price breaks one direction then reverses through the opposite channel bound.
Bull Reversal | 💎 Cyan Diamond | Failed bear breakout, reclaims above
Bear Reversal | 💎 Magenta Diamond | Failed bull breakout, breaks below
Extended S/R Retest Signals
After a breakout, channel levels are stored as support/resistance for future retests. These levels remain invisible until price approaches within a user-defined ATR distance.
S/R Bull Breakout | 🔼 Faded Triangle | Breaks above extended resistance
S/R Bear Breakout | 🔽 Faded Triangle | Breaks below extended support
S/R Bull Reversal | 💎 Faded Diamond | Reclaims extended support
S/R Bear Reversal | 💎 Faded Diamond | Rejected at extended resistance
Settings
Squeeze Detection
- Bollinger Length (default: 12) — Shorter length = tighter bands, easier squeeze entry
- Bollinger Multiplier (default: 2.0)
- Keltner Length (default: 20)
- Keltner ATR Multiplier (default: 2.0) — Higher = wider channel, easier squeeze entry
Channel Settings
- Swing Lookback Bars (default: 5) — Bars to look back for initial channel
- Swing Lookforward Bars** (default: 3) — Bars to allow channel expansion
Reversal Detection
- Enable Failed Breakout Reversal — Toggle reversal signals on/off
- Reversal Watch Bars (default: 7) — How long to watch for failed breakout
Extended S/R
- Show Extended S/R Levels — Display historical channel levels
- Enable S/R Retest Signals — Toggle retest signals on/off
- Extended Level Bars (default: 50) — How long levels remain active
- S/R Signal Delay Bars (default: 5) — Delay before retest signals activate (filters noise)
- ATR Proximity Threshold (default: 1.0) — Distance for level visibility
- ATR Length (default: 14)
Visual Guide
- Colored dots = Active squeeze channel (gradient shows intensity)
- Fuchsia dots = Channel waiting for breakout (squeeze ended)
- Faded teal/red dots = Extended S/R levels (appear on proximity)
- Triangles = Breakout signals
- Diamonds = Reversal signals (failed breakouts)
NeuraEdge ORB - Opening Range Breakout IndicatorOVERVIEW
NeuraEdge ORB is an open-source Opening Range Breakout indicator that automates the classic 15-minute ORB strategy. The indicator tracks the first 15 minutes of market action (9:30-9:45 AM ET), identifies breakouts above or below this range, and generates trading signals with automated stop loss and take profit calculations.
The Opening Range Breakout concept is based on the observation that the initial price action after market open often establishes directional bias for the trading session, as institutional order flow and overnight gap reactions manifest during this window.
CORE METHODOLOGY
Opening Range Construction:
The indicator uses session-based time detection to identify the 9:30-9:45 AM Eastern Time window. During this period, it tracks the highest high and lowest low to establish the opening range boundaries. The range is marked complete when the 15-minute window closes.
Calculation process:
OR High = Maximum high value during the 15-minute window
OR Low = Minimum low value during the 15-minute window
OR Midpoint = (OR High + OR Low) / 2
Range Size = OR High - OR Low (compared to 14-period ATR for context)
Breakout Detection:
The indicator identifies breakouts using close-price confirmation to reduce false signals from wicks:
Bullish breakout: Close above OR High (with previous close at or below OR High)
Bearish breakout: Close below OR Low (with previous close at or above OR Low)
The indicator tracks whether each direction has already broken to prevent duplicate signals on the same range.
Entry Type Logic:
Two entry methodologies are supported:
Breakout Mode - Signals immediately upon range break. Enters on the breakout bar when close confirms direction.
Retest Mode - Waits for price to break the range, then pullback to touch the range level before entering. Cancels if price moves too far beyond midpoint. This provides better entry prices with tighter stop losses.
Volume Confirmation:
Optional volume filter compares current bar volume to 20-period simple moving average. Requires volume > 1.2x average to validate breakout strength and filter low-conviction moves.
Fair Value Gap (FVG) Integration:
Optional confluence filter that checks for unfilled FVG in the breakout direction:
Bullish FVG detected when: current bar's low > two bars ago high (creating gap)
Bearish FVG detected when: current bar's high < two bars ago low (creating gap)
Minimum FVG size: 0.3x ATR to filter noise
FVG considered filled when price retraces to gap midpoint
Signals only generate when an unfilled FVG exists in the breakout direction, adding institutional order flow confluence.
Risk Management Calculations:
Three stop loss placement methods:
Opposite Side - SL at opposite end of opening range (classic ORB approach)
Midpoint - SL at range midpoint (tighter risk, lower reward potential)
ATR Based - SL at 1.5x ATR from entry (adaptive to volatility)
Take profit calculated as: Entry ± (Entry - Stop Loss) × Risk:Reward Ratio
Default 1.5:1 R:R ratio, adjustable from 1.0 to 5.0.
Performance Tracking:
The indicator maintains a trade history using Pine Script's type system:
Records entry price, stop loss, take profit, and direction for each signal
Tracks outcome when price hits stop loss or take profit levels
Auto-closes after 80 bars if neither level hit
Calculates rolling win rate from last 50 trades maximum
Displays W/L record in real-time dashboard
VISUAL COMPONENTS
Opening Range Box:
Semi-transparent blue box drawn from range start bar to current bar + 20, showing the established range boundaries visually.
Range Levels:
Green line at OR High (potential long entry level)
Red line at OR Low (potential short entry level)
Gray dotted line at OR Midpoint (reference level)
All lines extend 50 bars forward for anticipation.
Trade Signals:
Green up arrow with "LONG ORB Break" label below price
Red down arrow with "SHORT ORB Break" label above price
Dashed lines showing SL and TP levels extending 30 bars
Small labels marking SL and TP endpoints
Real-Time Dashboard:
Top-right panel displaying:
OR formation status (Forming / Complete / Waiting)
Current OR High, Low, and Range size (with ATR multiple)
Breakout status (Long / Short / None)
Volume status (High / Normal)
FVG presence (Bull / Bear / None)
Entry settings (Breakout/Retest, R:R, SL type)
Win rate percentage and W/L record
PRACTICAL APPLICATION
Ideal Market Conditions:
Liquid instruments: SPY, QQQ, IWM, high-volume stocks
Recommended timeframes: 1-minute or 5-minute charts for precise entries
Most effective during trending days with clear directional bias
Range size between 0.5-1.5x ATR typically provides best risk:reward
Usage Workflow:
Apply indicator at market open (9:30 AM ET)
Observe range formation during first 15 minutes
Wait for "Complete" status in dashboard
Monitor for breakout signals with volume/FVG confirmation
Enter on signal, place stop loss and take profit as marked
Avoid taking opposing signals on same day (trend following approach)
Retest vs Breakout Selection:
Use Breakout mode on high-momentum days with strong overnight gaps
Use Retest mode on slower days or when seeking better entry prices
Retest mode reduces signal frequency but improves entry quality
Time-of-Day Considerations:
The indicator includes a trading cutoff setting (default 3:00 PM ET) to avoid late-day chop and reduced liquidity. First-hour breakouts (10:00-11:00 AM) historically show strongest follow-through.
SETTINGS & CUSTOMIZATION
Display Options:
Toggle signals, opening range box, and dashboard independently
Clean visual design to reduce chart clutter
Opening Range Settings:
Opening range duration (5-60 minutes in 5-minute increments)
Default 15 minutes aligns with classic ORB methodology
Trading cutoff hour (10-16, representing 10:00 AM - 4:00 PM ET)
Entry Configuration:
Entry type (Breakout / Retest)
Volume confirmation toggle (requires 1.2x average volume)
FVG confluence toggle (requires unfilled gap in breakout direction)
Risk Management:
Stop loss placement (Opposite Side / Midpoint / ATR Based)
Risk:reward ratio (1.0 - 5.0, default 1.5)
Future: Trail stop after partial TP (currently placeholder)
Alert System:
Five alert conditions available:
Opening Range Complete
ORB Long Signal
ORB Short Signal
Breakout Up (range broken, regardless of signal)
Breakout Down (range broken, regardless of signal)
BEST PRACTICES
Recommended Usage:
Focus on highly liquid instruments with tight spreads
Use 1-5 minute charts for entry precision
Respect calculated stop losses (range defines maximum risk)
Typically 1-2 quality setups per day maximum
Consider overall market trend (SPY/QQQ direction)
Risk Considerations:
Very small ranges (< 0.3x ATR) prone to false breakouts
Very large ranges (> 2x ATR) may indicate gap day requiring adjusted expectations
Low volume breakouts fail more frequently
Avoid trading both directions on same day (pick strongest setup)
IMPORTANT DISCLOSURES
This indicator is provided free and open-source for educational purposes. The Opening Range Breakout strategy is a well-documented public domain trading concept. This implementation adds automation, visual clarity, and optional confluence filters.
No indicator guarantees profitable trades. Past performance does not predict future results. Traders are responsible for their own trading decisions and risk management. Always use appropriate position sizing and never risk more than you can afford to lose.
Ichimoku + EMA + RSI [Enhanced]# **Ichimoku + EMA + RSI Strategy - User Instructions**
---
## **📋 TABLE OF CONTENTS**
1. (#installation)
2. (#strategy-overview)
3. (#parameter-configuration)
4. (#understanding-the-dashboard)
5. (#entry--exit-rules)
6. (#best-practices)
7. (#optimization-guide)
8. (#troubleshooting)
---
## **🚀 INSTALLATION**
### **Step 1: Add to TradingView**
1. Open TradingView.com
2. Click **Pine Editor** (bottom of screen)
3. Click **"New"** → Select **"Blank indicator"**
4. Delete all default code
5. **Copy and paste** the complete script
6. Click **"Save"** (give it a name: "Ichimoku EMA RSI Strategy")
7. Click **"Add to Chart"**
### **Step 2: Verify Installation**
✅ You should see:
- Orange **200 EMA** line
- Blue **Tenkan** line
- Red **Kijun** line
- Green/Red **Cloud** (Ichimoku cloud)
- **Dashboard** in top-right corner
- **Strategy Tester** tab at bottom
---
## **📊 STRATEGY OVERVIEW**
### **What This Strategy Does**
Combines three powerful technical indicators to identify high-probability trades:
| Component | Purpose |
|-----------|---------|
| **200 EMA** | Determines overall trend direction |
| **Ichimoku Cloud** | Provides support/resistance and momentum |
| **RSI** | Filters momentum strength |
| **Dashboard** | Real-time signal analysis |
### **Trading Logic**
- **LONG**: Enter when all bullish conditions align
- **SHORT**: Enter when all bearish conditions align
- **EXITS**: Automatic via trailing stops, cloud breach, or TK cross reversal
---
## **⚙️ PARAMETER CONFIGURATION**
### **🔵 Trend Filter Settings**
```
EMA Length: 200 (default)
```
- **Lower (100-150)**: More sensitive, faster signals
- **Higher (250-300)**: More stable, slower signals
- **Recommendation**: Keep at 200 for most timeframes
---
### **🟢 RSI Settings**
```
RSI Length: 14 (default)
RSI Long Minimum: 55
RSI Short Maximum: 45
```
**Adjustment Guide:**
- **Aggressive** (more signals): Long=50, Short=50
- **Balanced** (default): Long=55, Short=45
- **Conservative** (fewer signals): Long=60, Short=40
---
### **🟡 Ichimoku Settings**
```
Tenkan Period: 9
Kijun Period: 26
Senkou B Period: 52
Displacement: 26
```
**Standard Configurations:**
| Timeframe | Tenkan | Kijun | Senkou B |
|-----------|--------|-------|----------|
| **1H - 4H** | 9 | 26 | 52 |
| **15m - 1H** | 7 | 22 | 44 |
| **Daily** | 9 | 26 | 52 |
**Filters:**
- ✅ **Require Chikou Confirmation**: Adds extra validation (recommended)
- ✅ **Require Cloud Position**: Price must be above/below cloud (recommended)
---
### **🔴 Risk Management**
```
ATR Length: 14
ATR Stop Loss Multiplier: 2.0
ATR Take Profit Multiplier: 3.0
Min Bars Between Trades: 3
```
**Risk/Reward Profiles:**
| Profile | SL Multiplier | TP Multiplier | Description |
|---------|---------------|---------------|-------------|
| **Conservative** | 2.5 | 4.0 | Wider stops, higher R:R |
| **Balanced** | 2.0 | 3.0 | Default settings |
| **Aggressive** | 1.5 | 2.5 | Tighter stops, faster exits |
---
### **🎨 Display Settings**
```
Show Dashboard: ON
Show Entry Signals: ON
```
- **Dashboard**: Shows real-time analysis
- **Entry Signals**: Green/Red arrows on chart
---
## **📈 UNDERSTANDING THE DASHBOARD**
### **Dashboard Components**
```
┌─────────────────────┬──────────┐
│ Component │ Status │
├─────────────────────┼──────────┤
│ EMA Trend │ BULL/BEAR│
│ Cloud │ ABOVE/BELOW/INSIDE│
│ TK Cross │ BULL/BEAR│
│ RSI │ 55.3 │
│ Chikou │ BULL/BEAR│
│ Signal │ STRONG LONG│
└─────────────────────┴──────────┘
```
### **Signal Interpretation**
| Signal | Score | Meaning | Action |
|--------|-------|---------|--------|
| **STRONG LONG** | 7+ | All conditions aligned | High confidence LONG |
| **LONG** | 4-6 | Most conditions met | Moderate confidence |
| **NEUTRAL** | <4 | Mixed signals | Wait for clarity |
| **SHORT** | 4-6 | Bearish bias | Moderate SHORT |
| **STRONG SHORT** | 7+ | All bearish conditions | High confidence SHORT |
---
## **📍 ENTRY & EXIT RULES**
### **✅ LONG ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **above** 200 EMA
2. ✅ Price **above** Ichimoku Cloud
3. ✅ Tenkan **crosses above** Kijun (TK Bull Cross)
4. ✅ RSI **above** 55
5. ✅ Chikou **above** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🟢 Green triangle **below** candle
- Dashboard shows **"STRONG LONG"**
---
### **❌ LONG EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **below** cloud bottom
2. ❌ Tenkan **crosses below** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
### **✅ SHORT ENTRY CONDITIONS**
All must be TRUE:
1. ✅ Price **below** 200 EMA
2. ✅ Price **below** Ichimoku Cloud
3. ✅ Tenkan **crosses below** Kijun (TK Bear Cross)
4. ✅ RSI **below** 45
5. ✅ Chikou **below** price 26 bars ago
6. ✅ Minimum bars since last trade met
**Visual Confirmation:**
- 🔴 Red triangle **above** candle
- Dashboard shows **"STRONG SHORT"**
---
### **❌ SHORT EXIT CONDITIONS**
Any ONE triggers exit:
1. ❌ Price closes **above** cloud top
2. ❌ Tenkan **crosses above** Kijun
3. ❌ ATR trailing stop hit (2.0 × ATR)
4. ❌ Take profit hit (3.0 × ATR)
---
## **💡 BEST PRACTICES**
### **Recommended Timeframes**
| Timeframe | Trading Style | Signals/Week |
|-----------|---------------|--------------|
| **15m** | Scalping | 20-30 |
| **1H** | Day Trading | 10-15 |
| **4H** | Swing Trading | 5-10 |
| **Daily** | Position Trading | 2-5 |
---
### **Asset Classes**
✅ **Best Performance:**
- Major Forex pairs (EUR/USD, GBP/USD)
- Crypto (BTC/USD, ETH/USD)
- Major indices (SPX, NAS100)
⚠️ **Use Caution:**
- Low liquidity pairs
- Highly volatile altcoins
- Stocks with gaps
---
### **Risk Management Rules**
```
1. Never risk more than 2% per trade
2. Use the built-in ATR stops (don't override)
3. Respect the "Min Bars Between Trades" cooldown
4. Don't trade during major news events
5. Monitor dashboard - only trade STRONG signals
```
---
## **🔧 OPTIMIZATION GUIDE**
### **Step 1: Run Initial Backtest**
1. Open **Strategy Tester** tab (bottom of screen)
2. Set date range (minimum 6 months)
3. Review:
- **Net Profit**
- **Win Rate** (target: >50%)
- **Profit Factor** (target: >1.5)
- **Max Drawdown** (target: <20%)
---
### **Step 2: Optimize Parameters**
**If Win Rate is Low (<45%):**
- Increase RSI thresholds (Long=60, Short=40)
- Enable both Chikou + Cloud filters
- Increase "Min Bars Between Trades" to 5
**If Too Few Signals:**
- Decrease RSI thresholds (Long=50, Short=50)
- Reduce EMA to 150
- Adjust Ichimoku to faster settings (7/22/44)
**If Drawdown is High (>25%):**
- Increase ATR Stop Loss Multiplier to 2.5
- Add longer cooldown period (5+ bars)
- Trade only STRONG signals
---
### **Step 3: Forward Test**
```
1. Paper trade for 2-4 weeks
2. Compare results to backtest
3. Adjust if live results differ significantly
4. Only go live after consistent paper trading success
```
---
## **🛠️ TROUBLESHOOTING**
### **Problem: No Signals Appearing**
**Solutions:**
- Check RSI levels aren't too restrictive
- Verify timeframe is appropriate (try 1H or 4H)
- Ensure both filters aren't enabled on ranging markets
- Review dashboard - components may be conflicting
---
### **Problem: Too Many Losing Trades**
**Solutions:**
- Enable **both** Chikou + Cloud filters
- Increase RSI thresholds (more conservative)
- Only trade when dashboard shows "STRONG" signals
- Increase cooldown period to avoid overtrading
---
### **Problem: Dashboard Not Showing**
**Solutions:**
- Verify "Show Dashboard" is enabled in settings
- Check chart isn't zoomed out too far
- Refresh chart (F5)
- Re-add indicator to chart
---
### **Problem: Stops Too Tight/Wide**
**Solutions:**
- **Too Tight**: Increase ATR Stop Loss Multiplier to 2.5-3.0
- **Too Wide**: Decrease to 1.5-1.8
- Verify ATR Length is appropriate for timeframe
- Consider asset volatility (crypto needs wider stops)
---
## **📞 QUICK REFERENCE CARD**
```
═══════════════════════════════════════════════════
STRATEGY QUICK REFERENCE
═══════════════════════════════════════════════════
BEST TIMEFRAMES: 1H, 4H, Daily
BEST ASSETS: Major Forex, BTC, ETH, Indices
RISK PER TRADE: 1-2% of capital
LONG ENTRY:
✓ Price > 200 EMA
✓ Price > Cloud
✓ TK Bull Cross
✓ RSI > 55
✓ Dashboard = STRONG LONG
SHORT ENTRY:
✓ Price < 200 EMA
✓ Price < Cloud
✓ TK Bear Cross
✓ RSI < 45
✓ Dashboard = STRONG SHORT
EXITS:
× Cloud breach
× TK reverse cross
× ATR trailing stop
× Take profit (3:1 R:R)
═══════════════════════════════════════════════════
```
---
## **⚠️ DISCLAIMER**
This strategy is for **educational purposes only**. Always:
- Backtest thoroughly on your specific assets
- Paper trade before going live
- Never risk more than you can afford to lose
- Past performance ≠ future results
- Consider market conditions and your risk tolerance
---
**Happy Trading! 📈**
TradingView — Track All Markets
Where the world charts, chats, and trades markets. We're a supercharged super-charting platform and social network for traders and investors. Free to sign up.
SuperTrend AI + PVSRA Full DashboardI tried to combine various indicators already created in a single version that can also guarantee a certain customization on colors, intensity of tables, etc. etc. The functioning, the operation is similar to the previous ones, I won't go into detail, at most take a look at the previous versions.
1. The "AI" Component: Multi-SuperTrend Clustering
Instead of using a single SuperTrend with a fixed multiplier, this script:
Simultaneously runs multiple SuperTrends with different sensitivities (multipliers).
Evaluates Performance: It tracks which multiplier would have been most profitable in recent bars.
K-Means Clustering: It uses an AI algorithm to group these multipliers into "Best," "Average," and "Worst" clusters.
Adaptive Trailing Stop: It automatically selects the "Best" multiplier to plot the AI Trailing Stop line on your chart, making it more responsive to changing market volatility than a standard indicator.
2. PVSRA Logic (Institutional Volumes)
PVSRA stands for Price Volume Support Resistance Analysis. The script re-colors candles based on volume intensity:
Climax Bull (Bright Green): Extremely high volume on a bullish candle. Usually indicates institutional buying or a trend climax.
Climax Bear (Magenta/Purple): Extremely high volume on a bearish candle. Usually indicates institutional selling or a panic bottom.
Rising (Grey/Silver): Above-average volume, showing increasing interest.
3. The "Super Confluence" Signal
This is the "Golden Signal" of the script. It triggers a BUY or SELL label only when several conditions align:
AI Trend Switch: The AI Trailing Stop flips direction.
SMA 20 Cross: The AI line crosses the 20-period Simple Moving Average.
Volume Confirmation: A PVSRA Climax or Rising volume must occur on that specific bar.
Directional Alignment: The candle color must match the trend direction.
4. Summary Dashboard (Top Right)
The dashboard provides a "Quick Glance" at the market structure:
AI Trend: Shows if the machine learning model is currently Bullish or Bearish.
PVSRA Vol: Identifies the current volume signature (Normal vs. Climax).
SMA 20/50: Shows medium-term momentum (Bullish if 20 > 50).
Trend 200: Shows the macro trend. ABOVE means long-term bullish; BELOW means long-term bearish.
How to Trade with This Script
Signal Strategy
"SUPER CONFLUENCE BUY" Look for entries. High probability if Trend 200 is "ABOVE".
"SUPER CONFLUENCE SELL" Look for shorts. High probability if Trend 200 is "BELOW".
Magenta/Green Candles Caution: These are "Stop Hunts" or "Institutional Entries." Do not
trade against these candles without a clear reversal pattern.
Technical Tip
The variable target_f is the "AI-optimized multiplier." If you see this value changing frequently in the dashboard, it means the market is volatile, and the AI is struggling to find a stable trend. If it stays consistent, the trend is likely solid.
Thanks everyone and happy trading
Orion Time Matrix | ICT Macros [by AK]ORION TIME MATRIX | ICT MACRO SUITE
The Orion Time Matrix is a precision timing instrument designed to decipher the algorithmic "Heartbeat" and the timing of institutional order flow in US Index Futures markets, specifically Nasdaq (NQ) and S&P 500 (ES).
Inspired by the "Time & Price" teachings of Michael J. Huddleston (The Inner Circle Trader), this tool maps out the specific time windows where algorithms seek liquidity and price delivery is most efficient.
***CILGIN INDIKATOR***ÇILGIN INDICATOR – User Guide
OVERVIEW
ÇILGIN INDICATOR is a multi-layer trend and momentum confirmation tool designed for discretionary traders.
It combines Relative RSI, EMA structure, SuperTrend logic, Momentum, and optional CCI & ADX filters into a single visual system.
Purpose:
Filter market noise, confirm trend strength, and highlight high-probability Buy / Sell zones.
The indicator works on all symbols and all timeframes.
RELATIVE RSI & MOMENTUM
The indicator can work in two modes:
NORMAL MODE (Formula OFF)
RSI is calculated directly from the chart symbol.
FORMULA MODE (Formula ON)
RSI is calculated from a relative price formula:
Base Symbol / Denominator 1 / Denominator 2
This allows relative strength analysis against indices, sectors, or benchmarks.
RSI SIGNAL LOGIC
RSI Signal Line = SMA of RSI
RSI 50 Level = Trend bias reference
BUY SIGNAL
RSI crosses above the signal line
Optional: RSI must also cross above 50 (Double Confirmation)
SELL SIGNAL
RSI crosses below the signal line
Optional: RSI must also cross below 50
Small arrows on the chart represent RSI-based Buy and Sell signals.
EMA STRUCTURE
Five adaptive EMAs are plotted: EMA 1
EMA 5
EMA 21
EMA 50
EMA 100
EMA lengths automatically adapt to timeframe speed.
EMA BUY LOGIC
Fast EMA crosses above any slower EMA.
EMA SELL LOGIC
Fast EMA crosses below any slower EMA.
EMAs define:
Trend direction
Dynamic support and resistance
Momentum shifts
SUPERTREND SYSTEM
A custom ATR-based SuperTrend is used.
Features:
Optional candle wick usage
Dynamic trailing stop
Visual Buy / Sell labels
SUPERTREND BUY
Trend flips from bearish to bullish.
SUPERTREND SELL
Trend flips from bullish to bearish.
Colored zones visualize the active trend direction.
STRONG BUY & STRONG SELL SIGNALS
A Strong Signal is generated only when multiple conditions agree.
STRONG BUY
RSI Buy Signal
SuperTrend Buy Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
STRONG SELL
RSI Sell Signal
SuperTrend Sell Signal
Optional CCI Filter confirmation
Optional ADX Filter confirmation
Strong signals are displayed as large labeled markers: “STRONG BUY”
“STRONG SELL”
Designed for trend-following entries, not market noise.
CCI & ADX FILTERS (OPTIONAL)
CCI FILTER
Buy allowed only if CCI > 0
Sell allowed only if CCI < 0
ADX FILTER
ADX must be above minimum level
Direction confirmed using +DI and -DI
These filters help avoid sideways markets and weak trends.
INFORMATION PANELS
PANEL A (Top Right)
Daily percentage change
Weekly percentage change
Monthly percentage change
Daily volume (millions)
PANEL B (Bottom Right)
Relative RSI value
RSI signal value
Relative momentum
Market status (Bull / Bear)
Provides instant market context without extra indicators.
ALERTS
Built-in alerts are available for:
STRONG BUY
STRONG SELL
Suitable for automation and watchlist monitoring.
BEST PRACTICES
Use Formula Mode for relative strength analysis
Enable CCI & ADX filters on higher timeframes
Combine signals with price action and key levels
Do not use as a standalone trading system
DISCLAIMER
This indicator is a decision-support tool and does not provide financial advice.
Always manage risk and confirm signals with your own analysis.
Momentum Status Tracker by VKKScript Coder: Vivek K.
Disclaimer : Use this indicator at your own risk. Do proper back testing to make sure it works for you. I am not responsible for any losses you may have. Indicator may give false signals during consolidation state. Make sure to use other indicators for correct momentum or directional confirmations.
Bullish: Price is above the 5, 13, 20 EMAs AND the VWAP.
Bearish: Price is below the 5, 13, 20 EMAs AND the VWAP.
Cautious: This triggers when the "stack" is broken. For example, if you are in a clear uptrend but the price closes below the 5 EMA, the table will flip to Cautious to warn you of a potential slowdown.
Neutral: Used as a fallback if the price is chopping directly inside the EMA cluster.
4 EMA Perfect Order + Strength + MTF + Breakdown Alerts (v6)🇯🇵 日本語説明文
📌 スクリプト概要
このスクリプトは、EMA10・20・40・80 を使用して「パーフェクトオーダー（PO）」を判定し、
PO が確定した瞬間と、PO が崩壊した瞬間の両方を自動で検知して通知します。
さらに、PO の強さ（短期と長期 EMA の乖離率）を数値化して表示し、
上位足（MTF）でも同様の判定と強さ表示が可能です。
トレンドの「始まり」と「終わり」をどちらも捉えることができる、
トレンドフォローに最適化されたインジケーターです。
🔧 機能一覧
• EMA10/20/40/80 のライン表示（黒・赤・オレンジ・青）
• パーフェクトオーダー（Bull/Bear）の自動判定
• PO確定時に矢印（▲/▼）を表示
• PO崩壊（Break）を検知してシグナル表示
• POの強さ（乖離率）をリアルタイム表示
• 上位足（MTF）での PO 判定と強さ表示
• アラート条件付き
• Bull PO 確定
• Bear PO 確定
• Bull PO 崩壊
• Bear PO 崩壊
• 背景は白で視認性を重視
📈 パーフェクトオーダーとは？
• Bull PO（上昇トレンド）
EMA10 > EMA20 > EMA40 > EMA80
• Bear PO（下降トレンド）
EMA10 < EMA20 < EMA40 < EMA80
PO が確定したバーで矢印とアラートが発生し、
PO が崩れた瞬間にもアラートが発生します。
🧠 活用例
• トレンドの勢い（強さ）を数値で把握
• 上位足のトレンドと一致しているか確認
• トレンドフォロー戦略のフィルターとして利用
• PO崩壊を使って利確・撤退の判断材料に
• MTFと組み合わせて精度を向上
🇺🇸 English Description
📌 Overview
This script detects “Perfect Order” (PO) conditions using EMA10, EMA20, EMA40, and EMA80.
It alerts you both when a PO is confirmed and when it breaks down, allowing you to capture the beginning and the end of a trend.
The script also calculates PO strength (based on EMA divergence) and supports multi‑timeframe (MTF) analysis.
This indicator is designed for traders who want to track trend momentum and identify early signs of trend reversal.
🔧 Features
• Displays EMA10/20/40/80 with color coding (black, red, orange, blue)
• Detects Bull and Bear Perfect Order conditions
• Shows arrows (▲/▼) when PO is confirmed
• Detects PO breakdown and displays a signal
• Displays PO strength as a percentage (EMA10 vs EMA80 divergence)
• Supports MTF PO detection and strength display
• Includes alert conditions:
• Bull PO confirmed
• Bear PO confirmed
• Bull PO breakdown
• Bear PO breakdown
• Clean white background for better visibility
📈 What is a Perfect Order?
• Bull PO (Uptrend): EMA10 > EMA20 > EMA40 > EMA80
• Bear PO (Downtrend): EMA10 < EMA20 < EMA40 < EMA80
Alerts are triggered both when the PO is newly confirmed and when it breaks.
🧠 Use Cases
• Measure trend momentum using PO strength
• Confirm alignment with higher timeframe trends
• Use as a trend‑following filter
• Detect early signs of trend reversal using PO breakdown
• Improve accuracy by combining MTF and PO logic
Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution
Introduction: The Death of Static Analysis
The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing.
The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart.
By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent.
This is Survival of the Fittest applied to technical analysis.
1. The Core Engine: Gradient Boosting & Adaptive Learning
At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models.
How the GBM Works:
Ensemble Prediction: The system aggregates signals from 13 different mathematical models.
Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual).
Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility.
Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence.
Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0.
The "Winner-Takes-All" Philosophy
A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones.
The MCPS solves this with Aggressive Weight Concentration:
Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy.
The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers.
Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners.
2. The 13 Algorithmic Pillars
The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages.
Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise.
Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly.
Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness.
Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles.
Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns.
Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points.
MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period.
Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave.
Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action.
Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity.
Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified).
Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously.
Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles.
3. The Dashboard: Total Transparency
Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen.
The Weight & Accuracy Table (Bottom Right)
This is your "Under the Hood" view. It displays:
Algorithm: The name of the model.
Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%).
Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones.
Prob/Sig: The raw probability and directional signal (Up/Down).
The GBM Stats Table (Bottom Left)
Tracks the health of the Machine Learning engine:
Iterations: How many learning cycles have occurred.
Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned.
Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models.
Confidence & Agreement: Statistical measures of the signal strength.
4. How to Trade with MCPS
This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color.
Strategy A: The Zero-Cross (Trend Reversal)
Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation.
Bearish: When the Cycle Line crosses below 0.
Strategy B: Probability Extremes (Mean Reversion)
Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom.
Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down.
Strategy C: Regime Filtering
The background color changes based on the aggregate consensus:
Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals.
Red/Orange: Bearish Regime. Look primarily for Short entries.
Gray: Neutral/Choppy. Reduce position size or wait.
5. Configuration & GBM Settings
The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters.
Prediction Horizon: How many days into the future are we trying to predict? (Default: 3).
Accuracy Lookback: How far back does the model check to calculate "Accuracy"?
GBM Learning Rate: Controls how fast the model adapts.
High (0.2+): Adapts instantly to new market conditions but may be "jumpy."
Low (0.05): Very stable, long-term adaptation.
Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome.
Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%).
6. Technical Nuances (For the Geeks)
Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust.
Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise.
Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market).
Disclaimer:
This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management.
The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals.
Author's Note:
I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you.
Please leave a boost and a comment if you find this helpful!
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
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# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
---
### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
---
### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
---
### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
