EMA10/201️⃣ Trend filter is already TRUE
Price above VWAP
EMA10 > EMA20
EMA20 rising
➡ This stays TRUE for many candles in a strong uptrend.
2️⃣ Pullback condition is TRUE
1–3 red candles already happened
Price is still near EMA20
➡ This condition does not reset immediately.
3️⃣ Engulfing logic is the key problem
Your current engulfing rule is roughly:
Candle is green
Closes above previous close
Above EMA20
Now look at your chart:
First green candle → BUY
Next candle is also green, still above EMA20 → BUY again
Next candle still satisfies all conditions → BUY again
📌 Result:
👉 BUY, BUY, BUY on consecutive candles
That’s why you see 3 BUY labels together.
نماذج فنيه
Gei-IndicatorFor trading and for fundaTradingView, combining three critical layers of market data into a single, high-level summary.
Key Features:
Fundamental Analysis: It pulls real-time financial data (P/E Ratio, Free Cash Flow, Revenue, EBIT, and Dividend Yield) to evaluate the company's health. It even includes a "Tech Mode" toggle to adjust valuation expectations for growth stocks.
Technical Indicators: It monitors price momentum and trend direction using the RSI (14) and a Moving Average crossover (MA20/MA50).
Market Benchmarking: It calculates and displays the Year-To-Date (YTD) performance of the SPY (S&P 500 ETF), allowing you to see at a glance if the current stock is outperforming the broader market.
Dynamic UI: All data is neatly organized in a color-coded table (Green/Orange/Red) at the top-right of your chart, making it easy to perform a "quick health check" without leaving the main price action.mental analysis
Neeson Mayer MultipleIntegrating the Mayer Multiple Indicator: A Practical Guide for Market Analysis
Introduction
The Mayer Multiple indicator is a specialized tool designed to assess asset valuations relative to their long-term historical trends. By comparing current price action against a long-term simple moving average, this indicator provides a quantitative framework for identifying potential overbought and oversold conditions. This article explains the rationale behind its design, operational mechanics, practical applications, and unique value proposition.
Purpose and Functionality
The primary function of the Mayer Multiple indicator is to measure how far current prices deviate from a long-term moving average, expressed as a ratio. This measurement helps traders and investors identify:
Extreme valuation levels that may signal potential reversal points
Long-term trend strength and sustainability
Market psychology shifts between fear and greed cycles
Originally popularized in Bitcoin analysis, the indicator's principles apply to any volatile asset class where mean reversion tendencies exist alongside strong trend characteristics.
Operational Principles
The indicator operates through several interconnected components:
Core Calculation Mechanism
At its heart, the indicator calculates the Mayer Multiple by dividing the current closing price by a configurable simple moving average (default: 200 periods). This ratio represents how many times the current price exceeds its long-term average, providing an immediate visual reference for valuation extremes.
Multi-Level Threshold System
Four configurable thresholds create distinct market condition zones:
Optimal Buy Zone (default: 0.7) - Historically extreme undervaluation
Undervalued Zone (default: 1.0) - Moderate undervaluation
Overvalued Zone (default: 2.4) - Moderate overvaluation
Optimal Sell Zone (default: 3.5) - Historically extreme overvaluation
These thresholds create a graduated scale of market conditions rather than binary signals.
Visual Signal Hierarchy
A sophisticated color-coding system prioritizes different signal types based on their significance:
White/Gray: Neutral territory (between undervalued and overvalued thresholds)
Aqua: Entering undervalued territory (potential accumulation zone)
White: Reaching optimal buying conditions (historically rare opportunities)
Yellow: Entering overvalued territory (potential distribution zone)
Orange: Reaching optimal selling conditions (historically rare extremes)
Green: Emerging from optimal buying conditions (momentum shift confirmation)
Red: Retreating from optimal selling conditions (momentum reversal confirmation)
This hierarchy helps users distinguish between entry signals, exit signals, and confirmation signals.
Integration Rationale
The integration of these components follows a logical progression:
Mathematical Foundation
The moving average provides a stable reference point that filters out short-term noise while maintaining sensitivity to long-term trend changes. The ratio format normalizes values across different price levels and timeframes, enabling cross-asset comparisons.
Behavioral Finance Alignment
The threshold system corresponds to documented market psychology patterns. The extreme thresholds (optimal buy/sell) represent points where fear or greed typically reach maximum intensity, while the moderate thresholds represent early warning levels.
Progressive Signal Detection
The indicator tracks both threshold breaches and retreats from extreme zones. This dual-tracking approach captures not only when conditions become extreme but also when they begin to normalize—often the most actionable moments for position adjustments.
Component Synergy
The indicator's components work together through a continuous feedback loop:
Calculation Engine: Continuously computes the core ratio, serving as the foundation for all subsequent analysis.
Threshold Comparator: Compares the current ratio against user-defined thresholds, categorizing market conditions in real-time.
Signal Generator: Identifies specific events (threshold crossings, zone entries/exits) and assigns appropriate visual representations.
Visual Renderer: Displays the information through colored histograms, reference lines, and data tables, creating an intuitive interface.
Alert System: Monitors for predefined conditions and notifies users of significant developments without requiring constant screen monitoring.
This integrated approach transforms raw price data into structured, actionable information while maintaining mathematical rigor and visual clarity.
Practical Application Guidelines
Parameter Customization
Users should adjust parameters based on:
Asset volatility (higher volatility assets may require wider thresholds)
Timeframe (longer timeframes may benefit from longer moving averages)
Personal risk tolerance (conservative traders may use tighter thresholds)
Signal Interpretation Framework
Zone-Based Analysis: Focus on which zone the indicator occupies rather than chasing individual data points
Confirmation Seeking: Use extreme zone signals (white/orange) as alerts for further analysis rather than automatic trade triggers
Momentum Assessment: Observe how quickly the indicator moves between zones as a measure of trend strength
Complementary Tools
The Mayer Multiple works best when combined with:
Volume analysis to confirm participation during extreme readings
Momentum indicators to identify potential divergence
Support/resistance levels for precise entry/exit timing
Fundamental analysis for context validation
Distinctive Attributes
Original Implementation Features
Progressive Color System: Unlike binary indicators, this implementation provides graduated signals through a carefully prioritized color hierarchy.
Dual-Signal Detection: The indicator captures both threshold breaches and retreats, offering insights into momentum shifts rather than just static levels.
Contextual Display: The integrated data table provides immediate access to key metrics without cluttering the chart space.
Customizable Framework: All thresholds and calculation periods are adjustable, allowing adaptation to different market regimes and trading styles.
Practical Innovation
The indicator's design emphasizes usability through:
Immediate visual comprehension via color coding
Clear separation between alert conditions and confirmation signals
Balanced information density (sufficient data without overload)
Flexible integration with existing trading workflows
Responsible Usage Considerations
Empirical Perspective
Historical analysis suggests that assets frequently revert toward their long-term moving averages, but the timing and extent of such reversions vary significantly. The indicator identifies statistical extremes rather than predicting immediate price movements.
Risk Management Integration
Users should:
Treat extreme readings as risk management triggers rather than directional forecasts
Consider position sizing based on distance from the moving average
Implement stop-loss strategies regardless of indicator readings
Avoid allocating excessive weight to any single indicator
Performance Realism
The indicator does not guarantee profitable outcomes. Its value lies in providing structured information about valuation extremes, which must be interpreted within broader market context and individual risk parameters.
Conclusion
The Mayer Multiple indicator represents a thoughtfully integrated approach to long-term valuation analysis. By combining mathematical rigor with behavioral insights and practical visualization, it provides traders with a structured framework for assessing market extremes. Its modular design allows customization while maintaining core analytical integrity, and its emphasis on graduated signals helps avoid the oversimplification common in technical indicators. When used as part of a comprehensive trading methodology with appropriate risk management, it can contribute valuable perspective to the decision-making process.
Intraday Session BehaviorThis indicator was built to study how price behaves throughout the trading day, from pre-London session to the New York close.
The goal was simple: identify recurring intraday tendencies, reversals, and consolidation phases based on time, not indicators.
I created this script to visually segment key intraday windows and then ran 100 manual backtests to observe where price most frequently shifts direction or changes behavior.
Key observation:
Across multiple samples, 8:00 AM NY time showed the highest frequency of reversals, often aligning with positioning ahead of the New York open.
This tool is not a signal generator. It’s designed for context, study, and confluence — especially for traders focused on session-based trading, liquidity behavior, and intraday structure.
Use it as a framework to:
Study session transitions
Refine time-based playbooks
Combine with your own strategy, structure, and risk management
Built the old-school way: observe, test, repeat.
[COG] Platypus Platypus
Overview
Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts.
The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum.
Key Features
✅ Volume Momentum Calculation
Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods
Quiet Market Filtering: Reduces noise during low-activity periods
Spike Detection: Identifies abnormal volume surges with boosted weighting
Momentum Smoothing: EMA-based smoothing prevents erratic signals
✅ Entry Pattern Detection
3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells)
State Management: Prevents consecutive signals in same direction without reset
Background Confirmation: Must align with bullish/bearish market state
EMA Alignment Filter: Ensures trend structure supports the trade direction
✅ Multi-Timeframe Filtering System
HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint)
HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries)
Dual-Filter Capability: Use both filters for maximum precision
✅ Dashboard
Real-time Status Monitoring: Volume trend, background state, EMA order, trade state
Filter Status Display: Shows HTF filter conditions and signal permission
Pattern Detection: Indicates when 3-bar entry pattern is forming
✅ On-Chart Integration
50/100/200 EMAs: Automatically plotted on price chart with customizable colors
Visual Entry Markers: Triangle signals appear on price chart at entry points
Signal Alerts: Built-in alert conditions for all signal types
📚 Core Settings Explained
signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings")
Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react.
volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings")
Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions.
priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings")
Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background.
Advanced Settings
momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced")
Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility.
momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced")
Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag.
quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced")
Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves.
volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio
When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
RMA vs EMA Comparison ToolIf you're looking for a quick entry point to follow a trend, it's best to look at the EMA.
If you need confirmation of a long-term trend change or are working with oscillators (like the RSI), use the RMA.
What to look for on the chart:
Reaction speed: You'll notice that the EMA (red line) adheres much more closely to the price. It reacts more quickly to sharp reversals or impulses.
Smoothness: The RMA (blue line) appears smoother and "lazier." It changes direction more slowly, which helps filter out false signals (noise), but allows for a slightly later entry into a trade.
Distance: During periods of strong trending, the RMA is usually further from the price than the EMA of the same period.
EMA20 and 10 PullbackStrategy Logic
Uses EMA 10, EMA 20, and VWAP for trend filtering
Identifies strong bullish and bearish trends
Waits for controlled pullbacks (1–3 candles) near EMA20
Triggers entries only on engulfing confirmation candles
Generates BUY signals in uptrends and SELL signals in downtrends
Key Features
Works best on NIFTY and liquid stocks
Avoids sideways markets by using EMA alignment + VWAP
Non-repainting, rule-based logic
Suitable for manual trading or alert-based automation
Alerts compatible with webhooks (n8n / Google Sheets)
Recommended Usage
Timeframe: 5-minute
Market: Trending sessions
Stop-loss: Below EMA20 or engulfing candle
Target: 1:1.5 – 1:2 R:R or EMA10 trailing
Break & Retest 369Break & Retest 369
The Break & Retest 369 is a high-precision technical indicator designed for price action traders who specialize in market structure shifts and "S/R Flip" (Support becoming Resistance and vice versa) strategies. Unlike standard oscillators that lag behind price, this tool focuses on **horizontal price levels** that have historically acted as turning points, providing visual zones where the market is likely to offer a "second chance" entry.
Core Philosophy
The script is built on the principle of Market Memory. In a trending market, a "Breakout" signifies a change in order flow. However, smart money often returns to the point of origin (the breakout level) to fill remaining orders or test the strength of the new trend. This indicator automates the identification of these "Retest" zones, which are often the highest-probability entry points for trend continuation.
How It Works: The Logic
The indicator follows a strict, multi-step calculation process:
1. Swing Point Identification: It utilizes a Pivot High/Low** algorithm. It scans for "peaks" and "valleys" that are isolated by a specific number of bars on either side (defined by the `Lookback` input).
2. **Breakout Detection:** The script monitors these pivot levels. A **Buy Zone** is triggered only when the price achieves a clean **Close** above a previous Pivot High. Conversely, a **Sell Zone** is triggered by a **Close** below a previous Pivot Low.
3. **Zone Construction:** Once a break is confirmed, the script draws a box centered exactly at the price level of the broken pivot.
4. **Forward Projection:** These zones are projected forward in time using the `Zone Extension` parameter, creating a visual "landing strip" for future price action.
### Key Features & How to Use It
* **Dynamic Support/Resistance Flips:** Green zones represent former resistance levels that are now expected to act as support. Red zones represent former support levels now expected to act as resistance.
* **Zone Customization:** Traders can adjust the `Zone Height (Ticks)` to account for market volatility or specific asset spreads (e.g., wider zones for XAUUSD, tighter for EURUSD).
* **Scannability:** The script helps traders filter out the "noise" of mid-range price movement and focus only on significant structural levels.
### Default Configuration
To get the most out of the **369** logic, the indicator comes pre-configured with the following defaults:
* **Swing Detection Lookback (18):** Optimized for medium-term structure, avoiding "micro-pivots" that lead to false signals.
* **Zone Height (1 Tick):** Focuses on the precise price point of the pivot for maximum accuracy.
* **Zone Extension (90 Bars):** Projects levels far enough to catch "deep" retests that occur several hours or days later.
---
### Pro Tip for Traders
Wait for price to return to a **Buy Zone** and look for a bullish rejection candle (like a pin bar or engulfing candle) before entering. This combines the "Where" (the zone) with the "When" (the price action confirmation) for a robust trading system.
Would you like me to add a **"Mitigation"** feature that automatically deletes or fades the zone once the price has successfully touched it?
covenant 1Covenant 1 — Liquidity-Based Trade Boxes
Covenant 1 is a private trading indicator designed to visualize Entry, Stop Loss, and Take Profit zones directly on the chart.
Key features
• Automatic Entry / SL / TP boxes
• Boxes dynamically extend as the trade remains active
• Full historical trade visualization
• Clean, non-repainting logic
• Designed for discretionary trading and visual guidance
Notes
• This indicator is for educational and analytical purposes only
• It does not execute trades
• No financial advice is provided
Celestial StateCelestial State (C1) – Market Bias & Candle Intent
Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure.
No indicators.
No lag.
Just clean candle logic.
The tool separates state (what the market is) from intent (what the market is doing right now).
🔹 Core Concept
The indicator works on the chart timeframe and uses closed candles only to define market state.
It then monitors the current candle to identify:
momentum confirmation
early warnings
potential trap / reversal behaviour
🔹 Market State (Based on C1 – last closed candle)
State is derived from the relationship between the last two closed candles:
Bull Trend Start
Bearish candle → Bullish candle
Bull Continuation
Bullish candle → Bullish candle
Bear Trend Start
Bullish candle → Bearish candle
Bear Continuation
Bearish candle → Bearish candle
This defines the directional environment before any decision is made.
🔹 Bias & Momentum (Live Candle)
Once state is defined, the current candle is monitored relative to the previous candle’s high and low.
Strong Buy
Bullish state
Previous candle bullish
Current candle breaks previous high
Strong Sell
Bearish state
Previous candle bearish
Current candle breaks previous low
These represent momentum continuation with confirmation.
Buy / Sell (Normal Bias)
Price is in a bullish or bearish state
No momentum break yet
This is directional bias without confirmation.
Changing Bias
Bullish state + previous low broken
Bearish state + previous high broken
This warns that control is being challenged and conditions may be shifting.
🔹 Flip (Strict Order)
A Flip is a high-risk condition where expansion fails:
Bull Flip
Current candle breaks previous high first, then breaks previous low
Bear Flip
Current candle breaks previous low first, then breaks previous high
This often signals:
failed breakouts
stop hunts
transition zones
🔹 Visual Output
Top-right panel shows:
Current Celestial State (C1)
Current Bias (Strong Buy / Sell / Changing Bias)
Short explanation (e.g. High broken, Low broken)
On-chart markers are intentionally minimal and offset away from price to reduce clutter.
🔹 Who This Is For
This indicator is built for traders who:
trade price action
want context before execution
prefer clarity over complexity
understand that bias ≠ entry
⚠️ Disclaimer
This tool does not provide entries, exits, or risk management.
It is a context and intent framework, not a signal system.
Use it as a decision-support layer alongside your own execution rules.
Traforetto Strategy (Tactica Adversa)test Traforetto Strategy (Tactica Adversa) I try to explane hau it will be work realy
Three Green Candles Screener - % Move & Volume1️⃣ Core purpose (big picture)
The indicator identifies stocks that:
Have 2 or 3 consecutive green candles
Are above a 21-EMA (trend filter)
Have reasonable % price movement (not overextended)
Show current volume, average volume, and turnover
Show daily and weekly % price change
It’s meant for short-term momentum screening (swing / positional / breakout prep).
2️⃣ Trend filter (EMA)
ema21 = ta.ema(close, emaLength)
Uses a 21-period EMA
All buy signals require price > EMA
This avoids counter-trend setups
3️⃣ Three Green Candles logic (main signal)
threeGreen = (close > open) and (close > open ) and (close > open )
This checks for three consecutive bullish candles.
Then it calculates:
% change for each candle (open → close)
Average % change across the 3 candles
avgChg = (chg0 + chg1 + chg2) / 3
✅ 3-Green signal triggers when:
3 consecutive green candles
Average % change ≤ user-defined max (default 10%)
Price above EMA21
➡ Output:
signal = 1 // Buy flag
signal = 0 // No action
This avoids parabolic / news-spike candles.
4️⃣ Two Green Candles logic (early signal)
This is a lighter, earlier version of the same logic.
twoGreen = (close > open) and (close > open )
avgChg2 = (chg0 + chg1) / 2
✅ 2-Green signal triggers when:
2 consecutive green candles
Average % change ≤ maxAvgChange
Price above EMA21
➡ Output:
signal2 = 1 // Early momentum
This helps catch moves one day earlier than the 3-green setup.
5️⃣ Volume & liquidity context (important)
Average volume (7 days)
avgVol7 = ta.sma(volume, 7) / 1e6
Shows liquidity trend
Units: Millions of shares
Today’s volume
todayVol = volume / 1e6
Helps confirm participation
6️⃣ Turnover (Price × Volume)
priceVolCrore = (close * volume) / 1e7
Measures capital flow, not just volume
Output in ₹ Crores
Helps filter:
Low-value pump candles
Illiquid stocks
7️⃣ % price movement
Daily move
pctDay = (close - close ) / close * 100
Weekly move (5 bars)
pctWeek = (close - close ) / close * 100
These give context, not signals:
Is this early?
Is it already extended?
8️⃣ Visual outputs (what you see)
Plots (in the indicator pane)
CMP (current price)
3-Green signal (0 / 1)
2-Green signal (0 / 1)
Avg 7-day volume (M)
Today’s volume (M)
Turnover (₹ Cr)
Day % move
Week % move
This makes it usable as a visual screener.
9️⃣ Summary table (top-right)
On the latest bar only, it shows:
Field Meaning
CMP Current price
Today Vol (M) Today’s volume
Turnover (Cr) Value traded
Day / Week % Momentum context
Compact, readable, no clutter.
10️⃣ What this indicator is GOOD for
✅ Momentum stock screening
✅ Swing / positional setups
✅ Avoiding overextended candles
✅ Liquidity & capital flow validation
✅ Manual decision support
11️⃣ What it does NOT do
❌ No auto buy/sell
❌ No stop-loss or targets
❌ No relative strength vs index
❌ No intraday scalping logic
TL;DR (one-liner)
This indicator finds stocks in a healthy uptrend with 2–3 controlled bullish candles, confirms them with EMA and volume/turnover, and presents all key momentum metrics in one clean view.
CTI Phase Bullish Bearish NeutralMarket Phase Checker. Checking multiple timeframes for confirmation of direction based on Japanese Candlesticks
Supply Demand Zones ProSupply Demand Zones PRO
Version: 1.0
Built with: Pine Script v6
________________________________________
🧭 HOW TO USE Start Here
🧠 What it does default behavior
• ✅ Automatically identifies Supply & Demand zones on your chart
• ✅ Automatically ranks each zone from 0 to 10 higher = stronger
• ✅ Works across most TradingView symbols and timeframes with default settings
⚙️ Default settings recommended for most instruments
Use the default settings for:
• 💱 Forex
• 🪙 Crypto
• 📊 Indices
• 🛢️ Commodities
• 🏛️ Stocks
Defaults are tuned to provide a balanced mix of quality zones + clean charts.
🎯 How to trade with it high-level workflow
1. 🥇 Prioritize strong zones
o Focus on higher scores commonly 7–10 for best reversal potential.
2. 🔄 Wait for a reversal setup at the zone
o Example triggers: rejection wick, engulfing candle, strong reaction candle, structure shift.
3. ✅ Confirm with other indicators before entering
o Use confirmation tools (your choice), such as:
📈 Trend filter (MA / market structure)
🧪 Momentum (RSI / Stoch / MACD)
📉 Volume / volatility tools
o Then take BUY from demand or SELL from supply *only when confirmation aligns
🧩🖤 Executive Summary: PRO Features Overview
The Supply Demand Zones PRO indicator is a professional-grade tool built on the latest Pine Script v6, designed to automatically identify and score high-probability supply and demand zones.
It moves beyond simple zone plotting by incorporating a suite of advanced features that provide a deeper, more actionable market context. This helps traders filter out noise, focus on significant levels, and make more informed decisions.
The indicator is universally compatible and works seamlessly across all major asset classes and timeframes:
• Forex: EURUSD, GBPUSD, USDJPY
• Commodities: Gold/XAUUSD, Silver, Oil
• Indices: NQ, ES, DAX, FTSE
• Cryptocurrencies: Bitcoin, Ethereum, Altcoins
• Stocks: Individual equities
Most symbols available on TradingView are fully supported.
Notice on repainting 🕯️⬛
Active zones won’t repaint unless they are invalidated. Gray/Historic zones may repaint, and that’s fine—this script only displays the most recent and stronger historic zones (if historic zones are enabled).
________________________________________
⬛🛠️Key PRO Features Overview
⚙️ Feature 📌 Description
Zone Strength Ranking ||| Each zone is dynamically scored from 1–10 based on its age and number of retests. Fresher, less-tested zones are stronger, helping prioritize high-impact levels.
Real-Time Distance ||| Each active zone’s info label shows the exact distance (in pips) from current price to the zone edge for quick risk/opportunity assessment.
Trading Session Tracking ||| Zones are tagged by formation session (Asian / London / New York) for added context—high-volume session zones often matter more.
Automated Retest Markers ||| The script tracks retests and places an “R” marker for each retest, giving a clear visual history of price interaction.
Advanced ATR Filtering ||| Volatility-based filters control zone quality: set min/max zone height and optionally enforce a consistent zone height using ATR.
Minimum Zone Distance ||| Reduces clutter by requiring a minimum number of bars between new zones, ensuring zones are distinct and well-separated.
Dual Label Controls Independently toggle info labels for Active vs Historic zones to keep charts clean while preserving key detail.
Built on Pine Script v6 ||| Uses the newest Pine Script version for better efficiency, reliability, and smoother handling of complex logic/drawings.
________________________________________
Detailed Feature Breakdown ⬛
Zone Strength Ranking ⬛
The strength score is a proprietary calculation that helps traders instantly gauge the potential of a supply or demand zone. It is calculated in real time using:
1. Age of the Zone: As zones age, they may lose relevance. Strength decreases as the number of bars since creation increases.
2. Number of Retests: The first test is often the highest-probability reaction. Each retest reduces strength as liquidity is absorbed.
✅ A high score (7/10+) indicates a fresh, less-tested zone that may produce a strong reaction.
⚠️ A low score suggests a zone is old and/or heavily tested—use extra caution.
________________________________________
🧱⬛Invalidation & Historic Zones
A zone becomes invalidated broken when price closes beyond its outer boundary or wicks beyond it, depending on settings. Once broken, it becomes a Historic Zone and turns gray.
This matters for structure: a broken supply zone can become future demand a flip zone, and vice versa.
________________________________________
🧪⬛Advanced Filtering Explained
Three ATR-based filters control zone quality:
• Max Zone Height (ATR Multiplier): Blocks zones that are too large to trade effectively. Example: 1.0 ignores zones taller than 1× ATR.
• Min Zone Height (ATR Multiplier): Filters out zones that are too thin and likely noise. Example: 1.0 rejects zones smaller than 1× ATR.
• Force Zone Height (ATR Multiplier): Normalizes zone heights by expanding smaller valid zones up to the minimum ATR target. Example: 1.0 expands zones to at least 1× ATR.
________________________________________
🧾⬛Configuration Guide
⚙️⬛Zone Detection
⚙️ Setting 🔧 Default 📝 Description
Swing Length (Sensitivity) 12 Lookback bars for pivot high/low detection. Higher = fewer, stronger zones.
Max Zones to Display 10 Max number of active Supply + Demand zones shown.
Max Zone Height (ATR) 1.0 Rejects zones taller than this ATR multiplier.
Min Zone Height (ATR) 1.0 Rejects zones smaller than this ATR multiplier.
Force Zone Height (ATR) 1.0 Expands valid zones to be at least this ATR multiplier.
Min Distance Between Zones 44 Minimum bars required between consecutive zones of the same type.
________________________________________
🧱⬛Zone Settings
⚙️ Setting 🔧 Default 📝 Description
Zone Invalidation Close “Close” = candle must close past zone; “Wick” = wick past zone breaks it.
Show Historic Zones On Toggles visibility of broken (historic) zones.
Active Zones Lookback 1000 Hides active zones older than this many bars.
Historic Zones Lookback 1000 Hides historic zones older than this many bars.
________________________________________
🖥️⬛Display
⚙️ Setting 🔧 Default 📝 Description
Show Active Zone Info On Toggles text labels for active (unbroken) zones.
Show Historic Zone Info Off Toggles text labels for historic (broken) zones.
Label Size Small Adjusts the font size of zone info labels.
ALT FINAL ABCD PRO V62. Key Improvements and Performance Optimization of Version v6
Faster Large-Scale Computation: The v6 engine processes large-scale computations more quickly and minimizes delays that occur when pulling Bitcoin and dominance data simultaneously.
Enhanced Repainting: By using the f_secure_data function to check Bitcoin trends, I eliminated 'future reference errors' at the source, ensuring that backtest returns match actual trading results.
Automation of Risk-Reward (R:R): Utilizing ATR multiples, I configured the stop loss to be short (0.8x) and the take profit to be long (1.5x), allowing for automatic responses to the volatility of altcoins.
3. Supplementary Guide for Trading Altcoins
Meaning of VWAP Sweep: In the crypto market, when the price briefly dips below the VWAP and then recovers, it is interpreted as a signal that institutions are absorbing the stop-loss volumes of retail investors. This indicator captures that moment and helps traders enter at the most favorable price level.
Utilizing the Dominance Filter: An altcoin buying signal occurs only when Bitcoin's dominance is below the moving average. This mechanism ensures trading only in 'tailwind' situations where the flow of funds is directed towards altcoins.
Time Zone Focus: The U.S. session (22:30–01:30), marked in orange, is when global liquidity is at its highest. Outside of this time frame, the reliability of patterns decreases, so it is recommended to refrain from trading as much as possible.
Weekly IR Breakout SignalsInspired by XO (@Trader_XO) on CT for his trading strategy
and special thanks to REBO (@@R3BOOO) for putting it together in a cheat sheet and sharing it
contact me on X: @neuromancer0x
-------------------------------------------
Timeframe Recommendations:
1H chart - Day trading (5-10 signals/month)
4H chart - Swing trading (2-5 signals/month) ⭐ Best
Daily chart - Position trading (1-2 signals/month)
-------------------------------------------
When Signals Appear:
Monday: No signals (just setting up IR)
Tuesday-Friday: Watch for breakouts
Max 1 LONG + 1 SHORT per week (indicator enforces this)
-------------------------------------------
Risk Management:
Risk 0.5-1% per trade
Never risk more than 2% in one day
If 2 losses in a row → reduce size or pause
-------------------------------------------
🔔 Setting Up Alerts
Click "Create Alert" (⏰ icon)
Condition: Select "🟢 LONG Entry" or "🔴 SHORT Entry"
Alert name: "Weekly IR Signal"
Set to: "Once Per Bar Close"
Send to: Phone/Email/App
Key LevelsThe indicator includes:
• ✅ Daily/Weekly High/Low - update dynamically
• ✅ 4H Equilibrium - updates with new 4H candles
• ✅ Key Levels (4H, 1H, 30M, 15M) - LOCKED IN PLACE with labels
• ✅ London Open/Close - locked at their time of formation
• ✅ Info table - fixed in top right corner
3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)
ICT Opening Gap Strategy [Momentum1]Momentum strategy taken off the close of the first candle after the NDOG/NWOG. Built with Gemini.
ICT Gap Retest Strategy [Custom Exits]Gap Retest Strategy with customizable exit conditions and two adjustable trade windows. Enters on the candle following a retest and exit of the NDOG/NWOG. Written with Gemini.






















