نماذج فنيه
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
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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)
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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)
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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
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🔔 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
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.
Neeson RSI Divergence DetectorIntegrating Multi-Indicator Strategies: A Rational Approach to Technical Analysis Tools
Introduction
The integration of multiple technical indicators into a unified trading script represents a sophisticated approach to market analysis, combining complementary analytical methods to enhance decision-making. This article outlines the rational basis for combining specific indicators, explains their synergistic operation, and provides practical guidance for users seeking to understand the functional utility, operational mechanics, and unique value proposition of integrated technical analysis tools.
Functional Purpose and Rational Integration Basis
Integrated technical scripts are designed to address the inherent limitations of single-indicator analysis by combining multiple analytical perspectives. The rational basis for integration typically follows these principles:
Complementary Signal Validation: Different indicators measure distinct market characteristics (momentum, volatility, trend strength, etc.). Their combination allows cross-validation of signals, reducing false positives inherent in single-indicator systems.
Multi-Timeframe Confirmation: Integrated scripts often incorporate elements that analyze price action across different temporal dimensions, providing a more comprehensive market perspective.
Risk Management Enhancement: By combining overbought/oversold indicators with trend confirmation tools, these scripts help identify not only entry opportunities but also potential risk zones.
Market Phase Adaptation: Different market conditions (trending, ranging, volatile) favor different indicator types. Integrated approaches maintain relevance across varying market environments.
Synergistic Operational Mechanism
The components of well-designed integrated scripts operate through several synergistic mechanisms:
Primary Trend Identification: Core trend-following indicators establish the dominant market direction, serving as a filter for other signals. This prevents counter-trend entries that might otherwise be generated by oscillators or momentum indicators.
Momentum Confirmation: Oscillator-based components (like RSI or Stochastic) validate the strength of the identified trend, distinguishing between healthy retracements and potential reversals.
Divergence Detection: By comparing price action with momentum indicators, these scripts identify subtle shifts in market dynamics that often precede trend changes.
Volatility Adjustment: Volatility-based components dynamically adjust signal thresholds and position sizing recommendations based on current market conditions.
Multi-Layer Filtering: Each signal passes through successive validation layers, with only the strongest, most confirmed signals triggering alerts or visual markers.
Practical Application Guidance
Users can maximize the utility of integrated scripts through these practical approaches:
Parameter Customization: Adjust indicator periods and thresholds to match the characteristics of specific trading instruments and timeframes. Historical testing can identify optimal settings for particular markets.
Signal Hierarchy Interpretation: Learn to distinguish between primary signals (strongly confirmed across multiple indicators) and secondary signals (weaker confirmation) for appropriate position sizing.
Contextual Analysis: Consider integrated signals within the broader market context, including support/resistance levels, volume patterns, and fundamental developments.
Performance Correlation: Monitor how different market conditions affect script performance. Some configurations may excel in trending markets while others perform better in ranging conditions.
Risk Calibration: Use the multi-indicator confirmation to calibrate stop-loss and take-profit levels, with tighter parameters for strongly confirmed signals and wider parameters for weaker ones.
Originality and Value Proposition
The originality of well-designed integrated scripts manifests in several dimensions:
Unique Combination Logic: The specific selection and weighting of indicators, along with their integration methodology, represents intellectual value distinct from simple indicator stacking.
Innovative Signal Processing: Advanced scripts often incorporate proprietary algorithms for signal filtering, noise reduction, or probability weighting not found in standard indicators.
Adaptive Framework: Some scripts dynamically adjust their analytical approach based on changing market conditions, representing a form of artificial market intelligence.
Visualization Innovation: The presentation of complex multi-indicator data in an intuitive, actionable format constitutes significant user interface originality.
Empirical Limitations and Responsible Use
It is crucial to maintain realistic expectations regarding integrated technical scripts:
No Predictive Certainty: These tools analyze probabilities, not certainties. No combination of historical price indicators can guarantee future price movements.
Market Efficiency Limitations: All technical analysis operates within the constraints of market efficiency, with script effectiveness varying across different market conditions and time periods.
Complementary Role: Integrated scripts should complement, not replace, comprehensive trading strategies including risk management, fundamental analysis, and market knowledge.
Continuous Evaluation: Regular performance assessment against established benchmarks helps maintain realistic expectations and identifies when script adjustments may be necessary.
Conclusion
The thoughtful integration of multiple technical indicators represents a logical evolution in analytical methodology, addressing the limitations of single-indicator approaches through complementary validation and multi-dimensional analysis. By understanding the rational basis for integration, the synergistic operation of components, and the practical application parameters, users can employ these tools as valuable components within broader, disciplined trading approaches. The true value emerges not from predictive accuracy but from structured decision support that helps traders navigate complex market environments with greater consistency and insight.
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
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.
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
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.
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.
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.
3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)3-Session ORB (SGT) + 15m EMA200 Trend Dashboard (v6)
Emoji TP/SLChoose an emoji for price, take profit, and stop loss. Choose ticks as a live moving TP/SL visual. Choose price to see a fixed TP/SL.
Emoji Price + TP + SL FollowerEmojis following price, TP, and SL. For the homies only. We ain't playin dat foo foo broke boy no mo. put the fries in the bag
SMC Full History jbi2 This indicator keeps BOS and CHoCH visible all the way to the oldest bars, revealing true market structure across all timeframes, unlike other indicators that erase historical signals, making trend and reversal zones clear and reliable.
Level 2 Order Flow Oracle with Sector Heatmap📊 Level 2 Order Flow Oracle™ + Dynamic Sector Heatmap
🎯 Overview
The Level 2 Order Flow Oracle™ is an advanced institutional-grade trading indicator that combines sophisticated order flow analysis with real-time sector rotation monitoring. This all-in-one tool provides traders with deep market insights by analyzing bid/ask imbalances, volume profile (VPOC), institutional footprints, and smart money divergences - all while displaying a dynamic sector heatmap that automatically adapts to your selected symbol.
Whether you're a day trader, swing trader, or institutional investor, this indicator delivers actionable signals with confidence ratings, risk-reward ratios, and precise entry/exit levels backed by multi-factor analysis.
✨ KEY FEATURES
🔬 Advanced Order Flow Analysis
Delta Calculation: Real-time buy/sell volume delta with cumulative tracking
Aggressive Order Detection: Identifies large market orders hitting the bid/ask
Bid/Ask Imbalance Proxy: Detects strong buying or selling pressure based on candle positioning
Order Absorption Detection: Spots institutional walls absorbing market orders
Iceberg Order Detection: Identifies hidden institutional orders
📍 Volume Profile & VPOC
Dynamic VPOC Calculation: Point of Control showing highest volume traded price levels
Volume Distribution Analysis: 10-level price-volume histogram updated every 5 bars
VPOC Distance Tracking: Monitors price position relative to high-volume nodes
🐋 Institutional Footprint Detection
Smart Money Tracking: Identifies large institutional buy/sell orders (3x+ volume)
Distribution/Accumulation Signals: Detects volume divergences at price extremes
Order Block Mapping: Marks key institutional support/resistance zones
Order Block Retests: Alerts when price revisits institutional levels
🎯 Multi-Factor Prediction Engine
8-factor scoring system analyzing:
Trend Alignment (20 points) - EMA 8/21/50 confluence
Order Flow (25 points) - Delta and aggressive orders
Bid/Ask Imbalance (15 points) - Market pressure
Institutional Activity (20 points) - Smart money footprints
Volume Profile (10 points) - VPOC positioning
Absorption (10 points) - Large order walls
Pattern Recognition (10 points) - Reversal/continuation setups
Momentum (10 points) - RSI, MACD, MFI alignment
🔒 Prediction Lock Mechanism
Confidence-Based Signals: Only triggers at 65%+ (customizable)
Stabilization Period: Locks predictions for 10 bars (adjustable) to prevent whipsaws
Dynamic Targets: ATR-based profit targets (1.5x to 2.5x based on confidence)
Risk Management: Automatic stop-loss calculation
Risk-Reward Filter: Only displays signals with 2:1+ R:R ratio
🔥 Dynamic Sector Heatmap
Auto-Detection: Automatically identifies which sector your symbol belongs to
10 Sectors Covered: Technology, Finance, Healthcare, Consumer, Energy, Industrial, Communication, Utilities, Materials, Market Indices
Real-Time Performance: Updates every tick showing intraday % change
Relative Strength Mode: Toggle to show performance vs SPY
Visual Color Coding:
🟢 Strong Green: >2.5% gain
🟢 Green: 1.2-2.5%
🟢 Light Green: 0.4-1.2%
⚪ Neutral: -0.4% to +0.4%
🔴 Light Red: -0.4% to -1.2%
🔴 Red: -1.2% to -2.5%
🔴 Strong Red: <-2.5%
Current Symbol Highlight: Shows ▶ arrow next to your active ticker
6 Top Symbols Per Sector: Displays the most liquid/representative stocks
📊 Comprehensive Dashboard
Real-time metrics displayed:
Signal Direction: BULL/BEAR/WAIT with confidence %
Lock Status: Countdown until next signal update
Price Targets: Entry, target, and stop levels
Risk-Reward Ratio: Actual R:R for current setup
Delta: Current buy/sell volume difference
Imbalance: Bid/Ask pressure indicator
Institutional Activity: Whale buy/sell detection
Absorption: Large order wall detection
VPOC Distance: % distance from volume point of control
Order Block Status: Active bullish/bearish block tests
Volume Ratio: Current vs average volume
RSI & MFI: Momentum oscillators with overbought/oversold zones
🎨 VISUAL COMPONENTS
Chart Overlays
EMA Ribbons: 8/21/50 period exponential moving averages
Bollinger Bands: 20-period with 2 standard deviations
VPOC Line: Dynamic volume point of control
Order Blocks: Dotted lines showing institutional zones (50-bar memory)
Prediction Arrow: Directional forecast with confidence label
Stop Loss Line: Dashed red risk management level
Background Coloring: Subtle green/red tint indicating active signal
Signal Labels
🚀 Bullish Signal: Green label below bar with confidence %
⚠️ Bearish Signal: Red label above bar with confidence %
Appears only when:
Confidence ≥ threshold (default 65%)
Risk-reward ratio ≥ 2:1
Lock period expired or confidence jumped 15%+
⚙️ CUSTOMIZATION OPTIONS
Prediction Settings
Prediction Horizon: 5-20 bars (default: 10)
Min Confidence %: 50-90% (default: 65%)
Lock Period: 5-20 bars (default: 10)
Level 2 Analysis Toggles
☑️ Order Flow Analysis
☑️ Volume Profile (VPOC)
☑️ Institutional Footprints
☑️ Order Absorption Detection
☑️ Bid/Ask Imbalance
Display Options
☑️ Dashboard (position: Top Center)
☑️ Order Blocks
☑️ Signals
Font Size: Tiny/Small/Normal
Sector Heatmap Settings
☑️ Show Sector Heatmap
Position: Top Left/Right, Bottom Left/Right
Size: Tiny/Small/Normal
☑️ Show vs SPY (Relative Strength Mode)
Sector Override: Manual sector selection or Auto-Detect
🔔 ALERT CONDITIONS
Create automated alerts for:
🚀 L2 Buy Signal: Bullish setup detected with confidence %
⚠️ L2 Sell Signal: Bearish setup detected with confidence %
🐋 Whale Buy: Institutional buying detected (3x+ volume)
🐋 Whale Sell: Institutional selling detected (3x+ volume)
📊 Absorption: Large order absorption detected
✅ Bull OB Test: Price testing bullish order block
❌ Bear OB Test: Price testing bearish order block
📈 HOW TO USE
For Day Traders
Enable all Level 2 Analysis features
Set Lock Period to 5 bars for faster signals
Monitor Dashboard for real-time delta and imbalance
Watch for 🐋 Whale alerts indicating institutional activity
Use Sector Heatmap to identify strong/weak sectors for momentum plays
For Swing Traders
Increase Lock Period to 15-20 bars for more stable signals
Raise Min Confidence to 70-80% for higher probability setups
Wait for Order Block retests with confirmation
Monitor sector rotation for multi-day trends
Use 2:1+ R:R signals only
For Position Traders
Focus on higher timeframes (4H, Daily)
Set Min Confidence to 80%+ for institutional-grade setups
Combine with fundamental analysis of sector leaders
Use Sector Heatmap to identify sector rotation
Wait for both Order Flow AND Institutional Activity alignment
Reading the Sector Heatmap
Strong outperformance (bright green): Sector leadership, consider long positions
Relative weakness (red): Sector lagging, consider avoiding longs
Divergence: If your stock is red but sector is green → investigate weakness
Convergence: If your stock matches sector → confirmation of trend
🧮 TECHNICAL SPECIFICATIONS
Pine Script Version: 5
Chart Type: Overlay indicator
Calculation Frequency: Every tick
Max Security Calls: 14 (well under 40 limit)
Performance Impact: Optimized with conditional loading
Sectors Covered: 10 major market sectors
Symbols Per Sector: 6 most liquid representatives
Historical Data: VPOC uses 20-bar lookback, Order Blocks track 50 bars
💡 BEST PRACTICES
Combine with Price Action: Use signals as confirmation, not sole entry reason
Respect the Lock: Don't chase trades during lock period - wait for next signal
Watch Order Blocks: Retests of institutional zones often provide best entries
Sector Context Matters: A bullish signal in a weak sector may underperform
Volume Confirmation: Higher volume on signals = higher probability
Multiple Timeframes: Check higher timeframe alignment for better success rate
Risk Management: Always use the calculated stop-loss levels
Filter by R:R: Only take trades with 2:1+ risk-reward ratio
⚠️ IMPORTANT NOTES
Sector Auto-Detection: Works for major US equities; use Manual Override for others
Real-Time Data: Heatmap requires real-time data subscription for accurate updates
Backtesting: Prediction lock mechanism prevents repainting
Market Hours: Most effective during regular trading hours with higher volume
Not Financial Advice: This is a technical analysis tool; always do your own research
🎓 INDICATOR COMPONENTS EXPLAINED
Delta
Positive delta = More buying pressure
Negative delta = More selling pressure
Cumulative delta above SMA = Bullish accumulation
Cumulative delta below SMA = Bearish distribution
VPOC (Volume Point of Control)
Price level with highest traded volume
Acts as magnetic level for price action
Bullish when price > VPOC
Bearish when price < VPOC
Order Blocks
Price zones where institutions placed large orders
Bullish OB: Support zone from institutional buying
Bearish OB: Resistance zone from institutional selling
Retests often provide optimal entry points
Absorption
Large volume + small price movement = order absorption
Indicates institutional player absorbing market orders
Often precedes reversals or consolidation
🚀 GETTING STARTED
Add to Chart: Click "Add to Favorites" and apply to any chart
Choose Your Symbol: Works on stocks, indices, ETFs
Customize Settings: Adjust confidence threshold and lock period to your style
Position Heatmap: Move to preferred corner (default: Bottom Right)
Set Alerts: Create alerts for L2 Buy/Sell signals
Monitor Dashboard: Watch for signal updates and metrics
Execute Trades: Follow signals with proper risk management
📊 COMPATIBLE WITH
US Equities: All NASDAQ, NYSE, AMEX stocks
Major Indices: SPY, QQQ, DIA, IWM
ETFs: Sector ETFs, commodity ETFs
Timeframes: 1min to Daily (optimized for 5min-1H)
Market Conditions: Trending and ranging markets
🛡️ RISK DISCLAIMER
Trading involves substantial risk of loss. Past performance is not indicative of future results. This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always use proper risk management, position sizing, and stop losses. The creator is not responsible for any trading losses incurred using this indicator.
📞 SUPPORT & UPDATES
Regular updates with new features and improvements
Bug fixes and performance optimizations
Community feedback integration
Follow for update notifications
🏆 WHY CHOOSE LEVEL 2 ORDER FLOW ORACLE™?
✅ Institutional-Grade Analysis: Tools previously available only to professional traders
✅ Multi-Factor Confirmation: 8-factor scoring eliminates false signals
✅ Real-Time Sector Context: Understand market rotation in real-time
✅ No Repainting: Prediction lock mechanism ensures historical signals don't change
✅ Complete Trading System: Entry, target, stop - everything calculated automatically
✅ Visual Clarity: Clean dashboard and heatmap for quick decision making
✅ Customizable: Adjust to your trading style and risk tolerance
✅ Professional Support: Regular updates and improvements
Transform your trading with institutional-grade order flow analysis. Add Level 2 Order Flow Oracle™ to your favorites today! 🎯📈
Tags: Order Flow, Volume Profile, VPOC, Institutional Trading, Smart Money, Delta, Sector Rotation, Heatmap, Market Scanner, Level 2, Bid Ask Imbalance, Order Blocks, ICT, Supply Demand, Footprint Chart, Accumulation Distribution, Whale Tracking
RubberBand Scalp NQ Four Contracts(V6 - 1-20-2026)Strategy Name: RubberBand Scalp NQ Four Contracts (V6 - 1-20-2026)
Version: Pine Script v5
Type: Mean-reversion / snapback scalping strategy (long and short)
Target Instrument: Optimized for NQ (E-mini Nasdaq-100 futures)
Position Size: Fixed 4 contracts per entry
Trading Hours: 08:45 – 14:45 America/Chicago (early to mid US session only)
Style: High-probability pullback-to-VWAP trades after short-term momentum exhaustion, with partial profit-taking + unlimited runner
Core Concept – "Rubber Band" Snapback
The strategy looks for quick, sharp counter-moves toward the VWAP after a brief over-extension away from it. It enters when price shows signs of immediate reversal (close reversing strongly in the opposite direction of the prior bars) while being relatively close to VWAP and in a sufficiently volatile environment.
Key Parameters & Settings
ParameterValueDescriptionCONTRACT_QTY4Fixed size — 2 contracts for TP1, 2 for trailing runnerSTOP_OFFSET0.20Very tight fixed buffer ($0.20 = 0.8 ticks on NQ) beyond VWAPATR_STOP_MULTIPLIER5Dynamic stop = ATR(20) × 5, capped at MAX_FIXED_STOPMAX_FIXED_STOP15.0 pointsHard cap on dynamic ATR-based stop (prevents excessively wide stops)ATR_LENGTH20ATR period for volatility filter & dynamic stopMIN_ATR_POINTS5Minimum ATR required to allow entries (avoids low-vol chop)VWAP_PROXIMITY0.5 × ATRMax distance from VWAP to consider "near enough" for entryCommission$1.00 per contractRealistic per-side commission modeling
Entry Conditions (both directions symmetric)
Must satisfy all of these on a confirmed bar:
Inside trading session (08:45–14:45 CST)
No existing position
High volatility — ATR(20) > 5 points
Near VWAP — wick reaches within 0.5 × ATR of VWAP
Snapback candle:
Long: bullish candle (close > open) and close > highest high of prior 4 bars
Short: bearish candle (close < open) and close < lowest low of prior 4 bars
Price on correct side of VWAP (close > VWAP for long, close < VWAP for short)
Stop-Loss Calculation (dynamic & conservative)
For longs:
VWAP-based stop = vwap − 0.20
ATR-based stop = close − min(ATR×5, 15)
Final stop = wider (more protective) of the two, but never tighter than close − 0.20
For shorts: mirrored logic (stops placed above entry)
→ This creates a risk-averse stop placement — prefers wider stop when ATR suggests volatility is high.
Profit Taking & Runner Logic
Split position (2 + 2 contracts):
TP1 (50% — 2 contracts)
Fixed limit at +1R (risk = entry − stop)
Locks in a symmetric 1:1 reward:risk on half the position quickly
TP2 / Runner (50% — 2 contracts)
No profit target (removed in this V6 version)
Trailing stop activates immediately after entry
Trail distance = initial risk in points (for longs: trail_points = risk, offset=0)
For shorts: small offset=1.5 (likely typo or minor buffer — very tight trail)
Goal: Let big moves run — potential for 3R, 5R, 10R+ in strong trends
Position & Session Management
Pyramiding = 0 — only one entry at a time
Forced exit: All positions closed when session ends (after 14:45 CST)
Plots:
VWAP (blue line)
ATR (orange, separate pane)
Green ▲ below bar = long entry
Red ▼ above bar = short entry
Risk / Reward Profile (NQ context)
NQ tick = 0.25 points = $5 per contract
1 full point = $20 per contract
4 contracts → $80 per point movement
Typical stop: 5–15 points → $400–$1,200 risk per trade
TP1 = 1R → quick scalp profits
Runner = uncapped with trailing stop → aims to capture Nasdaq momentum bursts
Summary – One-Liner
NQ-specific mean-reversion scalper that enters strong snapback candles near VWAP in high-volatility conditions, takes reliable 1R on half the 4-contract position, and trails the other half with no upper limit — designed to scalp small edges while occasionally catching bigger intraday swings, all within the core 08:45–14:45 CST window.
This version (V6) improves previous iterations by:
Using a wider, volatility-adjusted stop
Removing fixed TP2 limit to let winners run further
Keeping very tight VWAP buffer and session discipline
Hitchhiker Scalp 1-30-2026 (Reduced Hours)Strategy Name: Hitchhiker Scalp 1-30-2026 (Reduced Hours) - Buy/Sell Arrows Fixed
Version: Pine Script v6
Type: Directional breakout scalping strategy (long-only)
Timeframe recommendation: Very short timeframes (1–5 min charts typically used for this style)
Trading session: Strictly limited to a short morning window (~8:45–10:30 CST)
Core Trading Idea
The strategy attempts to catch strong upward breakouts from short-term consolidation ranges during the early part of the US morning session (optimized for very reduced trading hours). It is a classic breakout scalper with partial profit-taking + trailing runner logic.
Key Parameters (Inputs)
ParameterDefaultMeaningConsolidation Lookback15Number of bars used to calculate the recent high/low (range)Stop Loss (points)20Fixed distance in points below entry price for hard stop-lossTake Profit 1 (points)40First target – closes 50% of the positionTake Profit 2 (points)60Second (runner) target – base profit level before trailing activatesTrail Offset for Runner10Trailing stop distance once price reaches +40 points
Entry Rule
Long entry occurs when:
Current high breaks above the highest high of the previous 15 bars (high > rangeHigh )
AND the bar falls inside the allowed session (8:45–10:30 America/Chicago)
Position size: 4 contracts/lots (fixed – quite aggressive for a scalper)
Exit Rules (all long exits)
50% of position (2 contracts)
Fixed stop-loss: entry price − 20 points
OR take-profit: entry price + 40 points
Remaining 50% of position (runner / 2 contracts)
Initial stop-loss: same as above (−20 points)
Profit target (before trailing): +60 points
Trailing stop activates once price reaches +40 points from entry
After activation: trails price by 10 points (locks in gains)
Position Management & Session Control
Hard session close
All open positions are force-closed at 10:30:00 CST (first bar where hour = 10 and minute = 30 in Chicago time).
→ Prevents holding positions into less liquid / higher risk midday hours.
No short entries (long-only strategy)
Visual Elements on Chart
Gray lines — previous 15-bar high & low (shows the consolidation box the breakout came from)
Green ▲ triangle below bar — marks entry bar (longCondition = true)
Red ▼ triangle above bar — marks the bar where the entire position was closed (either by TP, SL or session end)
Typical Intended Market & Behavior
Best suited for: Highly liquid futures (e.g. ES, NQ, YM, CL, GC) or forex pairs with tight spreads
Style: Very short-term momentum scalping
Risk profile: High frequency of small losses (20-point stops), occasional bigger winners via the runner + trailing
Edge assumption: Early-session breakouts after tight consolidation have directional follow-through in the first 1–2 hours of trading
Summary – One-Liner
Short morning-session only breakout scalper that enters on 15-bar range breakouts, takes 50% profit at 2:1 reward:risk, lets the other half run to 3:1 with a 10-point trail, cuts everything at 10:30 CST sharp.
Let me know if you'd like a rewritten version with different wording, more focus on risk:reward math, or suggestions for possible improvements.
DR Sequence Algo [Custom]DR Sequence Algo english
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ES to SPX Lead (RTH Adaptive)Very simple script designed especially to trade CFD but also scalping.
Only RTH (you'll understand why)
Not a stand-alone indicator, e.g., an external event may hit the index and /ES leading nature will become meaningless. Same with a sudden crash on a Mag7 stock.
Uses Z Score to evaluate if /Es is leading SPX (or not) and /ES VWAP to establish bullish (+1) or bearish territory (-1). Histogram is the product of Z Score times VWAP status, red or green depending.
Z score goes from -2 to +2.
Zscore reading: 0.4 < |Z| < 1.2 is the trading zone.
|Z| <0.4 is sort of neutral shifting gears zone, a no-trade and may be transition moment.
Middle numbers show max. limits based on actual volatility (i.e. when to exit and when definitely not to enter a trade).
Grey stripes is NO TRADE zone.
Final number is the composite histogram value.
So:
Textbook bullish: /ES above VWAP and Z Score positive
Textbook negative: /ES below VWAP and Z score negative
If Green Histogram & negative Z Score, you may enter bearish pullback trades making sure Z score is in the sweet spot bracket.
If Red histogram & negative Z score, it's a conflict state, signals are not alined. Holds a bullish nature but it may be a warning sign.
Script produced by Chat GPT after several iterations.
Buy/Sell Signal via Trend Pullback Trend Pullback Micro-Entry Indicator (M1/M5/H1)
I am currently developing a TradingView indicator designed to identify trend pullbacks on very low timeframes (M1) and continuation on HTF.
The core idea is to trade continuations within an existing trend, focusing on controlled pullbacks instead of chasing breakouts or random price moves.
The indicator provides clear visual signals and is meant to support the trader’s decision-making process — not to replace experience, discretion, or discipline.
Strong Focus on Risk Management
Risk management is a central part of this indicator’s concept:
Every setup is based on a predefined stop-loss
Profits are managed step-by-step, not all at once
Take-profit levels adapt to current market volatility
No martingale, no grid trading, no position averaging
The goal is to limit losses while allowing profitable trades to develop naturally — however, losses are a normal part of trading and cannot be avoided entirely.
Important Risk Disclaimer
⚠️ Trading involves significant risk.
You can lose part or all of your trading capital.
This indicator:
does not guarantee profits
is not financial advice
is not an automated money-making system
It is a tool, not a promise.
All trading decisions and risks remain entirely the responsibility of the user.
Looking for Testers
I am currently looking for interested testers who:
Trade or study scalping / intraday strategies (M1–M5 preferred)
Are willing to test the indicator live or in replay
Can provide honest feedback on:
signal quality
risk management behavior
real-world usability
Constructive criticism is highly appreciated — especially when something does not work as expected.
Project Goal
The objective of this project is not to build an over-complicated system, but to create a:
clean
structured
realistic trading tool
that helps traders act more consistently, calmly, and disciplined in fast markets.
Final words of the author: Lets become rich and free together :)
Last Closed 4H Range + Fibs + Bias + CountdownLast Closed 4H Range + Fibs + Bias + Countdown
This indicator displays the most recent fully closed 4-hour (4H) candle range and projects it forward to provide a clear higher-timeframe framework for intraday trading.
🔹 Features
Last Closed 4H Range Box
Shows the high and low of the previous completed 4H candle (non-repainting).
Internal Fibonacci Levels
Automatically plots 25%, 50% (EQ), 75%, 61.8%, and 78.6% levels inside the 4H range.
4H Directional Bias
Bias is determined by the 4H close relative to the 50% equilibrium:
Above EQ → Bullish Bias
Below EQ → Bearish Bias
Bias Flip Alerts
Alerts trigger only when bias changes on a confirmed 4H candle close.
Live 4H Countdown Timer
Displays the remaining time until the current 4H candle closes, positioned below the range box.
