התחל

חפש סקריפטים עבור "bands"

TRIZONACCI_Mean reversal_signalsMarket State Engine Deterministic Confidence-Scoring System for TradingView A professional-grade PineScript v5 indicator that scores market conditions from 0-100, helping traders identify high-quality trading opportunities through systematic structure analysis, VWAP positioning, order flow dynamics, and time-based context. 🎯 Overview The Market State Engine is not a trading bot—it's a noise-reduction and opportunity-ranking system designed to filter market conditions and surface only the highest-quality setups. Instead of blindly taking every signal, this indicator: ✅ Scores market conditions objectively (0-100 scale) ✅ Filters out low-probability setups automatically ✅ Classifies opportunities into A, A+, and A++ grades ✅ Alerts only on confirmed structure shifts with supporting context ✅ Keeps the human in control - provides intelligence, not automation Philosophy: Reduce Noise. Enforce Discipline. Surface Quality. 🚀 Key Features Deterministic Scoring - No black boxes, fully explainable logic Multi-Factor Analysis - Combines 4 independent market state components Structure-First Approach - Only alerts on confirmed pivot breaks VWAP Mean Reversion Logic - Directional filtering based on VWAP zones Order Flow Proxy - CVD divergence and confirmation detection Session-Aware Scoring - Prioritizes high-volume New York sessions Alert De-Duplication - One alert per unique structure shift Zero Repainting - Uses confirmed pivots only (left=2, right=2) Fully Configurable - All parameters exposed as inputs Visual Feedback - VWAP bands, setup labels, and real-time score panel 📊 Scoring System (0-100) The Market State Engine evaluates four independent components, each contributing up to 25 points for a maximum total score of 100. 🎯 Component Breakdown Component Max Points Description VWAP Context 25 Measures price deviation from session VWAP Structure Shift 25 Confirms pivot breakout (HARD GATE) CVD Alignment 25 Detects order flow divergence/confirmation Time-of-Day 25 Identifies high-probability trading sessions 1️⃣ VWAP Context (Max 25 Points) Purpose: Identifies extreme price deviations from fair value for mean-reversion opportunities. VWAP (Volume-Weighted Average Price) is calculated session-anchored to New York market time, with standard deviation bands creating zones of opportunity. Band Structure: 1st Band: ±1σ from VWAP (fair value zone) 2nd Band: ±2σ from VWAP (moderate deviation) 3rd Band: ±3σ from VWAP (extreme deviation) Scoring Logic (Exclusive): Price in 3rd VWAP Band (>2σ and ≤3σ) → +25 points Price in 2nd VWAP Band (>1σ and ≤2σ) → +15 points Otherwise (inside 1σ or beyond 3σ) → 0 points Key Insight: The further price stretches from VWAP, the higher the probability of mean reversion. 2️⃣ Structure Shift (Max 25 Points) — HARD GATE Purpose: Confirms momentum shift through confirmed pivot breakouts. ⚠️ CRITICAL: Structure shift is mandatory. If no valid structure shift occurs, the total score becomes 0 regardless of other factors. Detection Method: Uses TradingView's ta.pivothigh() and ta.pivotlow() functions with locked parameters: Left bars: 2 Right bars: 2 Source: Configurable (Wick or Body) Break confirmation: Candle close only Bullish Structure Shift: ✅ Prior swing high exists (confirmed pivot) ✅ Current candle closes above swing high + tick buffer ✅ Must occur in VWAP 2nd or 3rd band ✅ VWAP Filter: Price must be at or below VWAP (lower bands) Bearish Structure Shift: ✅ Prior swing low exists (confirmed pivot) ✅ Current candle closes below swing low - tick buffer ✅ Must occur in VWAP 2nd or 3rd band ✅ VWAP Filter: Price must be at or above VWAP (upper bands) Scoring: Valid structure shift → +25 points No structure shift → Total score = 0 Tick Buffer: Default 5 ticks (configurable) - prevents false breaks from minor price noise. 3️⃣ CVD Alignment (Max 25 Points) Purpose: Detects institutional order flow through volume delta analysis. CVD (Cumulative Volume Delta) is a proxy for order flow: Close > Open → +Volume (buying pressure) Close < Open → -Volume (selling pressure) Scoring Logic: Condition Points Description Divergence +25 Price makes higher high + CVD makes lower high (bearish) Price makes lower low + CVD makes higher low (bullish) Confirmation +20 Price and CVD both make higher highs or lower lows Neutral 0 No clear divergence or confirmation Lookback Window: Last 20 bars (configurable) - prevents stale divergences. Key Insight: Divergences suggest weakening momentum, while confirmations validate the trend. 4️⃣ Time-of-Day Context (Max 25 Points) Purpose: Prioritizes high-volume, high-volatility New York sessions. Scored Sessions (America/New_York timezone): Session Time Range (NY) Points Description Pre-Market 03:00 - 04:00 +25 Early liquidity injection Market Open 09:30 - 11:30 +25 Highest volume period Off-Hours All other times 0 Lower probability setups Key Insight: Structure shifts during active sessions have higher follow-through probability. 🏆 Setup Classification Setups are graded based on total score thresholds (configurable): Grade Score Range Typical Components Quality Level A++ Setup ≥90 All 4 factors aligned (VWAP 3rd band + Structure + CVD + Session) Premium - Rare A+ Setup ≥75 Structure + VWAP + CVD or Session (3 of 4 factors) High - Select A Setup ≥60 Structure + VWAP + Session (Minimum viable setup) Good - Regular No Grade <60 Insufficient confluence Filtered out Default Thresholds: A Setup: 60 points A+ Setup: 75 points A++ Setup: 90 points 📥 Installation Step 1: Download the Indicator Download the market_state_engine.pine file from this repository. Step 2: Add to TradingView Open TradingView Open the Pine Editor (bottom panel) Click "New" → "Blank indicator" Delete all default code Paste the contents of market_state_engine.pine Click "Add to Chart" Step 3: Configure for Your Symbol Click the gear icon next to the indicator name Adjust Tick Size for your instrument: ES futures: 0.25 NQ futures: 0.25 Stocks: 0.01 Save settings ⚙️ Configuration Symbol Settings Parameter Default Description Tick Size 0.25 Minimum price movement for your symbol Tick Buffer Count 5 Ticks beyond swing for valid break VWAP Settings Parameter Default Description VWAP Band 1 (σ) 1.0 1st standard deviation multiplier VWAP Band 2 (σ) 2.0 2nd standard deviation multiplier VWAP Band 3 (σ) 3.0 3rd standard deviation multiplier Session Settings Parameter Default Description Session 1 0300-0400 Pre-market window (NY time) Session 2 0930-1130 Market open window (NY time) Score Thresholds Parameter Default Description A Setup Threshold 60 Minimum score for A grade A+ Setup Threshold 75 Minimum score for A+ grade A++ Setup Threshold 90 Minimum score for A++ grade CVD Settings Parameter Default Description CVD Divergence Lookback 20 Maximum bars for divergence detection Swing Settings Parameter Default Options Description Swing Detection Method Wick Wick / Body Use high/low or open/close for pivots Visual Settings Parameter Default Description Show VWAP Bands ✅ Display VWAP and standard deviation bands Show Setup Labels ✅ Display setup markers on chart Show Score Panel ✅ Display real-time score breakdown 📖 How to Use Step 1: Apply to 1-Minute Chart ⚠️ The indicator is locked to 1-minute timeframe - do not use on other timeframes. Step 2: Understand the Visual Signals Setup Labels Green Triangle (▲) - Bullish (Long) setup detected Red Triangle (▼) - Bearish (Short) setup detected Label shows Grade (A/A+/A++) and Total Score VWAP Bands Yellow Line - Session VWAP (fair value) Blue Bands - ±1σ (fair value zone) Purple Bands - ±2σ (moderate deviation) Red Bands - ±3σ (extreme deviation) Score Panel (Top Right) Real-time breakdown of all four components: Component Score VWAP Zone 15/25 Structure 25/25 CVD 20/25 Session 25/25 TOTAL 85/100 (A+) Step 3: Interpret Signals Valid Long Setup: ✅ Green triangle below candle ✅ Price in lower VWAP bands (below VWAP) ✅ Structure shift breaks swing high ✅ Score ≥60 Valid Short Setup: ✅ Red triangle above candle ✅ Price in upper VWAP bands (above VWAP) ✅ Structure shift breaks swing low ✅ Score ≥60 Step 4: Set Up Alerts (See Alert Conditions section) 🚦 Signal Filters (VWAP Zone Logic) The indicator uses directional VWAP filtering to prevent counter-trend signals: Long Signals (Green) Only allowed when price is AT or BELOW VWAP ✅ Lower 2nd band (-2σ to -1σ) ✅ Lower 3rd band (-3σ to -2σ) ✅ At VWAP exactly ❌ BLOCKED in upper bands (above VWAP) Logic: Longs when price is stretched below fair value (mean reversion) Short Signals (Red) Only allowed when price is AT or ABOVE VWAP ✅ Upper 2nd band (+1σ to +2σ) ✅ Upper 3rd band (+2σ to +3σ) ✅ At VWAP exactly ❌ BLOCKED in lower bands (below VWAP) Logic: Shorts when price is stretched above fair value (mean reversion) 🎨 Visual Elements Chart Overlays Element Color Description VWAP Line Yellow Session-anchored fair value ±1σ Bands Blue Fair value zone (no score) ±2σ Bands Purple Moderate deviation (15 pts) ±3σ Bands Red Extreme deviation (25 pts) Swing Highs Red ▼ Confirmed pivot highs Swing Lows Green ▲ Confirmed pivot lows Session Background Light Green Active high-value session Setup Labels Bullish Setup: A+ ▲ 75 Green label below candle, shows grade and score Bearish Setup: A++ ▼ 90 Red label above candle, shows grade and score Score Panel Real-time table in top-right corner: Individual component scores (0-25 each) Total score (0-100) Current setup grade (A/A+/A++) Updates in real-time as market conditions change 🔔 Alert Conditions Setting Up Alerts Method 1: Built-in Alert Conditions Click "Create Alert" in TradingView Select Market State Engine as condition Choose alert type: Bullish Setup - Long signals only Bearish Setup - Short signals only Any Setup - All signals Set to "Once Per Bar Close" Configure notification method (app, email, webhook) Method 2: Custom Alert Message Alert messages include full breakdown: A+ Setup Detected (Score: 85) Components: VWAP(25) + Structure(25) + CVD(20) + Time(15) CVD State: Confirmation Direction: Long Timeframe: 1m Alert Behavior ✅ One alert per unique pivot break - no spam ✅ Fires on candle close only - no repainting ✅ Minimum score filter - only A grade or higher (≥60) ✅ Direction-specific - separate bullish/bearish conditions ⚠️ No cooldown between different pivots - multiple alerts per session allowed if different swing levels break 🔧 Technical Details Timeframe Lock Required: 1-minute chart only Reason: Scoring model calibrated for 1m micro-structure Future: Multi-timeframe support planned for v2 Timezone Configuration Hard-coded: America/New_York Session Detection: Uses TradingView's native session functions Consistency: All time-based logic uses NY timezone Swing Detection Parameters Locked to specification: ta.pivothigh(source, left=2, right=2) ta.pivotlow(source, left=2, right=2) Implications: Pivots confirmed 2 bars after formation No repainting - historical pivots don't move 4-bar minimum swing structure (2 left + pivot + 2 right) VWAP Calculation Type: Session-anchored (resets daily) Source: Typical price (high + low + close) / 3 Weighting: Volume-weighted Standard Deviation: True population standard deviation CVD Proxy Formula barDelta = close > open ? volume : close < open ? -volume : 0 CVD = cumulative sum of barDelta (session-reset) Performance Limits Max Labels: 500 (TradingView limit) Max Bars Back: 500 Memory: Lightweight - uses only essential variables 💡 Best Practices 1. Use as a Filter, Not a Strategy ❌ Don't: Blindly take every signal ✅ Do: Use score as confluence for your existing analysis 2. Higher Grades = Better Probability A Setups (60-74): Regular opportunities, still require discretion A+ Setups (75-89): High-quality, multiple factors aligned A++ Setups (90-100): Rare premium opportunities, strongest edge 3. Respect the VWAP Zone Filter The indicator automatically blocks: Longs in upper VWAP bands (counter-trend) Shorts in lower VWAP bands (counter-trend) Trust this logic - it enforces mean reversion discipline. 4. Monitor the Score Panel Watch which components are scoring to understand why a setup formed: Missing CVD score? → No order flow confirmation Missing Time score? → Outside high-volume sessions Low VWAP score? → Weak deviation from fair value 5. Combine with Risk Management The indicator provides opportunity scoring, not position sizing: Use stop losses based on swing structure Scale position size with setup grade (larger on A++, smaller on A) Set profit targets at VWAP or opposing band 6. Session Awareness Prioritize signals during active sessions: 03:00-04:00 NY: Pre-market momentum 09:30-11:30 NY: Highest volume, tightest spreads Off-hours signals (0 time score) are lower probability but still valid if other factors strong. 7. Understand the Hard Gate If no structure shift occurs: Total score = 0 No alerts fire Other components irrelevant Why? Structure shift confirms momentum change - without it, there's no tradable opportunity. 8. Avoid Over-Optimization Default settings are well-calibrated: Don't chase "perfect" parameters Test changes on historical data before live use Document any modifications 9. Leverage Alert De-Duplication The indicator prevents spam automatically: One alert per unique swing break New swing levels = new alerts No need to manually filter notifications 10. Supplement with Price Action Use the indicator alongside: Support/resistance levels Order flow footprint charts Volume profile Market internals (breadth, TICK, etc.) 📚 Example Scenarios Example 1: A++ Premium Setup (Score: 95) Price: In lower 3rd VWAP band (-2.8σ) → VWAP: 25 pts Structure: Close breaks swing high → Structure: 25 pts CVD: Price LL + CVD HL (bullish div) → CVD: 25 pts Time: 10:15 AM NY (market open) → Time: 25 pts Direction: LONG (price below VWAP) → Valid Grade: A++ (95/100) Interpretation: All factors aligned - premium mean-reversion long opportunity. Example 2: A+ Strong Setup (Score: 80) Price: In upper 2nd VWAP band (+1.5σ) → VWAP: 15 pts Structure: Close breaks swing low → Structure: 25 pts CVD: Price HH + CVD LH (bearish div) → CVD: 25 pts Time: 2:00 PM NY (off-hours) → Time: 0 pts Direction: SHORT (price above VWAP) → Valid Grade: A+ (65/100) Interpretation: Strong setup despite off-hours, bearish divergence adds confidence. Example 3: Filtered Setup (Score: 0) Price: In upper 3rd VWAP band (+2.5σ) → VWAP: 25 pts (if allowed) Structure: Close breaks swing high → Structure: BLOCKED CVD: Price HH + CVD HH (confirmation) → CVD: 20 pts (if allowed) Time: 10:00 AM NY → Time: 25 pts (if allowed) Direction: LONG (price ABOVE VWAP) → ❌ INVALID ZONE Grade: None (0/100) - NO ALERT Interpretation: VWAP filter blocked long signal in upper band - prevents counter-trend trade. 🛠️ Troubleshooting No Signals Appearing ✅ Verify you're on 1-minute chart ✅ Check Tick Size matches your symbol ✅ Ensure VWAP Bands are visible ✅ Wait for confirmed pivots (requires at least 5 bars of history) Alerts Not Firing ✅ Confirm alert is set to "Once Per Bar Close" ✅ Check score threshold (must be ≥60 by default) ✅ Verify VWAP zone filter isn't blocking signals ✅ Check that structure shift is actually occurring Score Always Zero ✅ No structure shift detected (hard gate active) ✅ Price may not be in valid VWAP zone (2nd or 3rd band) ✅ Insufficient swing history (wait for pivots to form) Too Many/Too Few Signals Too many signals: Increase A Setup Threshold (e.g., 70 instead of 60) Increase Tick Buffer Count (reduces false breaks) Too few signals: Decrease A Setup Threshold (e.g., 50 instead of 60) Decrease Tick Buffer Count (more sensitive to breaks) 📜 License This indicator is provided under the Mozilla Public License 2.0. 🤝 Credits Developed as a professional trading tool for systematic opportunity identification. Philosophy: Reduce noise. Enforce discipline. Keep the human in control. 📞 Support For questions, issues, or feature requests, please consult: This README documentation The specification document (pinescript_market_state_engine_spec.docx) Inline code comments in market_state_engine.pine 🔄 Version History v1.0 (Current) Initial release 4-component scoring model (VWAP + Structure + CVD + Time) VWAP zone directional filtering Alert de-duplication Configurable inputs Real-time score panel Session-aware logic 🎓 Understanding the Numbers Quick Reference Card Score Range Grade Quality Typical Use 90-100 A++ Premium Highest conviction trades 75-89 A+ High Strong probability setups 60-74 A Good Acceptable with discretion 0-59 None Filtered Skip or wait for confluence Component Contribution Examples Minimum A Setup (60 points): Structure (25) + VWAP 3rd band (25) + Time (25) = 75 ✅ Typical A+ Setup (75 points): Structure (25) + VWAP 2nd band (15) + CVD confirm (20) + Time (25) = 85 ✅ Maximum A++ Setup (100 points): Structure (25) + VWAP 3rd band (25) + CVD divergence (25) + Time (25) = 100 ✅ 🎯 Final Reminder This is NOT a trading bot. This is NOT financial advice. This is a decision-support tool. Always: ✅ Use proper risk management ✅ Understand the logic before trading ✅ Backtest on your symbols ✅ Keep the human in control Happy Trading! 📈
אינדיקטור Pine Script®
מאת ‎TC_BE‎
RSI Pivots with Divergence Overlay█ OVERVIEW The RSI Pivots with Divergence Overlay indicator is an advanced tool based on RSI, displaying dynamic bands on the price chart to simplify the identification of overbought and oversold conditions. Pivot points and divergences between them are derived from these bands, providing a comprehensive view of the market and enabling the creation of various trading strategies based on this single indicator. █ CONCEPTS Areas where RSI exits the bands are often reversal points in the market. The concept of this indicator is to highlight places where the probability of a trend reversal increases. Therefore, pivots and divergences have been added to better identify these key moments. Additionally, the bands allow viewing the market context in relation to the RSI indicator, facilitating analysis of momentum and volatility. █ KEY FEATURES Dynamic Bands and RSI Signals: The bands are calculated based on the closing price and RSI value, with dynamic scaling adjusted to market volatility. The upper band corresponds to overbought levels, the lower to oversold, and the midline is their average. The price level relative to the bands serves as a visual RSI signal, indicating potential overbought or oversold conditions. Pivot Points: The indicator identifies local price highs and lows in relation to RSI levels. The pivot level is taken from the high/low of the candle. A high pivot is detected when the high of the candle reaches a local maximum after crossing the upper RSI level (overbought), signaling a potential reversal. A low pivot appears after a local price minimum following a drop below the lower RSI level (oversold), indicating a possible uptrend reversal. The pivot length (default 2 bars) defines the search range for these extremes, meaning that with a length of 2, a potential divergence signal will appear with a 2-candle delay, as this is the minimum time required to confirm a local pivot. Pivot lines are drawn on the chart, and labels display the RSI value (from the close of the candle) and price at the detection moment. Pivot lines disappear after the detection of the next low pivot for lower lines and high pivot for upper lines, but unbreached lines or those with high volume may still serve as support or resistance levels. Divergence Detection: The indicator automatically detects divergences to predict trend changes. Bearish divergence occurs when the price forms a higher high pivot, but the RSI (from the close of the candle) is lower than in the previous pivot, indicating weakening upward momentum and a potential bearish reversal. Bullish divergence appears when the price forms a lower low pivot, but the RSI is higher, suggesting building momentum and a possible bullish reversal. Divergences are marked in pivot labels (e.g., "Bear Div" or "Bull Div") and supported by alerts upon detection. Return Signals: The indicator generates buy and sell signals based on RSI (price) returning to the bands after extreme conditions, independently of pivots and divergences. A buy signal is triggered when RSI (price) crosses above the lower level (exiting oversold), suggesting a potential price rise toward the midline or upper band. A sell signal occurs when RSI (price) falls below the upper level (exiting overbought), indicating a possible price drop toward the lower band. Signals are visualized as arrows (up/down triangles) on the chart, with customizable colors. █ CONFIGURATION The indicator offers extensive customization options: RSI Length (rsiLength): Sets the number of periods used to calculate RSI (default 14). RSI Upper Level (rsiUpper): Defines the overbought threshold (default 70). RSI Lower Level (rsiLower): Defines the oversold threshold (default 30). Band Scaling (scale): Determines the scaling multiplier for bands based on market volatility (default 15.0). SMA Length for Candle Midpoint (length): Number of periods for calculating the moving average of candle midpoints (default 200). This parameter is used to smooth price data, enabling more accurate volatility assessment and band width adjustment to market dynamics. Pivot Length (pivotLength): Sets the range (in bars) for detecting local price extremes (default 2). Pivot Label Offset (pivotLabelOffset): Multiplier for the candle range to position pivot labels (default 0.3). Show Bands (showBands): Enables/disables the display of bands on the chart. Show Fill (showFill): Enables/disables the fill between bands and the midline. Show Pivot Lines (showPivotLines): Enables/disables pivot lines on the chart. Show Pivot Labels (showPivotLabels): Enables/disables labels with RSI and price values at pivots. Show Return Signals (showReturnSignals): Enables/disables the display of buy and sell signals. Colors and Style: Customizable colors for bands, fills, pivot lines, labels, and line widths (default 1). █ USAGE The indicator performs best when combined with other technical analysis tools, such as Fibonacci levels, moving averages, or trendlines, to confirm pivot, divergence, and return signals. It enables traders to identify key reversal points, detect hidden trend weaknesses through divergences, and confirm trade entries with return signals. Usage Examples: Price bounces off a previous pivot with high volume – this increases the probability of a trend change or correction. A similar situation when RSI is outside the bands strengthens the signal. If divergence occurs in addition, we have further confirmation. This can be combined with Fibonacci levels to check if Fibo zones overlap with pivot lines – this may increase the chance of a strong price reaction. █ ALERTS The indicator supports alerts for: Buy and sell signals (RSI returning to bands). Detection of bearish and bullish divergences.
אינדיקטור Pine Script®
מאת ‎Uncle_the_shooter‎
MAD RSIMAD RSI ~ by GForge An adaptive trend-following indicator that combines RSI momentum with Median Absolute Deviation (MAD) volatility bands to identify trend direction, gauge regime strength, and generate entry/exit signals. Core Concept Most band-based indicators use Standard Deviation to measure volatility. The problem is that StdDev is highly sensitive to outlier candles — a single spike from news, earnings, or liquidation cascades can blow out the bands and distort signals. This indicator replaces StdDev with Median Absolute Deviation (MAD), a statistically robust volatility measure that resists outliers while still tracking genuine changes in market volatility. The result is more stable bands that better represent the true trading range. RSI-Adaptive Mechanism A smoothed RSI is calculated and used to dynamically scale the band width. The logic works as follows: when RSI is near 50 (neutral/indecisive), the bands stay at their base width. As RSI moves further from 50 in either direction — indicating stronger bullish or bearish momentum — the bands widen proportionally. This creates a self-adjusting system: during strong trends the bands expand to avoid premature exits, and during choppy consolidation they contract to keep signals responsive. The RSI smoothing parameter applies an EMA on top of the raw RSI to control how quickly the adaptive multiplier responds. A low smoothing value makes the bands react quickly to momentum shifts. A higher value smooths out the adaptation, which can reduce whipsaws in noisy conditions. Oscillator & Signal Logic The indicator computes a Basis line (Simple Moving Average) and places the adaptive MAD bands above and below it. Price position within these bands is then normalized into an oscillator ranging from 0 to 100, where 0 means price is at the lower band, 50 means price is at the basis, and 100 means price is at the upper band. Signals are generated when this oscillator crosses key thresholds: A long signal fires when the oscillator crosses above the Long Threshold, indicating price has moved convincingly into the upper portion of the adaptive channel. A short/exit signal fires when the oscillator crosses below the Short Threshold, indicating momentum has weakened and price is falling back within the channel. The thresholds are independently configurable. For example, setting a Long Threshold of 80 means you require price to push well above the midpoint before entering, while a Short Threshold of 30 means you exit relatively early before price reaches neutral. This asymmetry can be tuned for different risk appetites — tighter thresholds produce more signals with smaller moves, wider thresholds produce fewer signals but filter out more noise. Key Parameters Source — the price input for all calculations. Close is standard, but hl2, hlc3, or ohlc4 can provide smoother behavior on volatile instruments. RSI Length — controls the RSI lookback period. Longer values produce a smoother RSI that changes the adaptive multiplier gradually. Shorter values make it more reactive. RSI Smoothing — additional EMA smoothing applied to the RSI before it feeds into the adaptive multiplier. Set to 1 for no extra smoothing. Basis Length — the SMA period for the center line of the channel. This is the trend anchor. Longer values track slower trends, shorter values hug price more closely. MAD Length — lookback for the Median Absolute Deviation calculation. Controls how many bars contribute to the volatility estimate. Longer values produce more stable bands, shorter values adapt faster. Volatility Multiplier — the base scaling factor for band width before RSI adaptation is applied. Higher values widen the bands and reduce signal frequency. Lower values tighten them and increase signal frequency. Visuals A gradient cloud beneath price provides an at-a-glance read of trend regime and strength. Bar colors reflect the oscillator position. Signal markers appear as diamonds above and below bars. Usage Notes This is a tool to assist your analysis, not a standalone trading system. Always apply your own risk management and confirm signals with additional context. Past performance does not guarantee future results. Default settings are a starting point — optimize for your specific instrument, timeframe, and trading style. The MAD calculation is particularly well-suited for instruments prone to sudden spikes or gap moves where Standard Deviation-based indicators tend to produce erratic signals. Developed by GForge
אינדיקטור Pine Script®
מאת ‎GForge‎
1
MRG VWAP CompleteMRG VWAP Complete - Indicator Description 📊 Overview MRG VWAP Complete is a professional all-in-one VWAP indicator that combines two powerful volume-weighted average price tools into a single, highly customizable solution. This indicator provides traders with both anchored VWAP with deviation bands and a weekly VWAP that resets every Sunday, offering comprehensive price analysis across multiple timeframes. 🎯 Key Features Dual VWAP System Standard VWAP: Highly configurable with multiple anchor periods and deviation bands Weekly VWAP: Automatically resets every Sunday for swing trading strategies Option to display both simultaneously or independently Standard VWAP Capabilities Multiple Anchor Periods: Session (Daily) Week / Month / Quarter / Year Decade / Century Corporate Events: Earnings / Dividends / Splits Customizable Parameters: Source selection (HLC3, Close, Open, etc.) Hide on 1D timeframes and above Offset adjustment Custom color and line thickness (1-5) Advanced Deviation Bands System Three Independent Band Levels: Each band can be enabled/disabled individually Customizable multipliers for each level Independent color selection for each band Optional fill toggle for each band Two Calculation Modes: Standard Deviation: Traditional statistical approach Percentage: Distance calculated as percentage of VWAP value Visual Customization: ✅ Enable/disable band fills independently 🎨 Choose any color for each band 📏 Transparent fills (95% opacity) for clear price action visibility 🎯 Clean chart display with only desired elements Weekly VWAP Features Resets automatically every Sunday Customizable source input Independent color and line width settings Perfect for identifying weekly trends and key levels ⚙️ Complete Parameter List Display Options Show/Hide Standard VWAP Show/Hide Weekly VWAP Standard VWAP Settings Anchor Period selection Source selection Hide on 1D or above option Offset value VWAP color VWAP line width (1-5) Bands Settings Calculation mode (Standard Deviation / Percentage) Band #1: Enable, Multiplier, Color, Fill toggle Band #2: Enable, Multiplier, Color, Fill toggle Band #3: Enable, Multiplier, Color, Fill toggle Weekly VWAP Settings Weekly VWAP color Weekly VWAP line width (1-5) Source selection 📈 Strategic Applications Mean Reversion Trading Use deviation bands to identify overbought/oversold conditions Enter trades when price reaches outer bands Target VWAP for exits Trend Confirmation Price above VWAP = Bullish bias Price below VWAP = Bearish bias Weekly VWAP confirms longer-term trend direction Support & Resistance VWAP acts as dynamic support/resistance Deviation bands provide multiple levels for entries/exits Weekly VWAP identifies major swing levels Multi-Timeframe Analysis Combine Standard VWAP (intraday) with Weekly VWAP (swing) Identify confluence zones where both VWAPs align Spot divergences between short-term and weekly trends Breakout Trading Monitor price action around VWAP levels Trade breakouts through deviation bands Weekly VWAP breaks signal strong momentum 💡 Advantages ✨ All-in-One Solution: No need for multiple VWAP indicators ⏱️ Time-Saving: Pre-configured with professional settings 🎯 Precision: Multiple anchor periods for different trading styles 🎨 Fully Customizable: Every visual element can be adjusted 📊 Clean Charts: Toggle fills on/off for optimal visualization 🔄 Automatic Updates: Both VWAPs update in real-time 📱 Universal: Works on all timeframes and instruments 🎓 Ideal For Trading Styles Day Trading (M1, M5, M15) Swing Trading (H1, H4, D1) Scalping strategies Position trading Markets Forex (XAUUSD, EUR/USD, GBP/USD, etc.) Indices (US30, NAS100, SPX500) Cryptocurrencies Commodities Stocks Strategies VWAP mean reversion Trend following Breakout trading Volume-weighted support/resistance Institutional order flow analysis 🔧 Recommended Settings For Day Trading (M5-M15) Standard VWAP: Anchor = Session Band #1: Multiplier 1.0, Fill ON Band #2: Multiplier 2.0, Fill OFF Weekly VWAP: Enabled for major levels For Swing Trading (H1-H4) Standard VWAP: Anchor = Week Band #1: Multiplier 1.5, Fill ON Band #2: Multiplier 2.5, Fill ON Weekly VWAP: Primary level for trend confirmation For Scalping (M1-M5) Standard VWAP: Anchor = Session Band #1: Multiplier 0.5, Fill ON Band #2: Multiplier 1.0, Fill OFF Weekly VWAP: Disabled for cleaner chart 📊 Understanding the Bands Band Multiplier = 1.0 Contains ~68% of price action (1 standard deviation) Primary mean reversion zone Band Multiplier = 2.0 Contains ~95% of price action (2 standard deviations) Strong overbought/oversold signal Band Multiplier = 3.0 Contains ~99.7% of price action (3 standard deviations) Extreme reversal zones 🎯 Trading Tips Confluence Trading: Enter when price touches a deviation band AND Weekly VWAP Trend Confirmation: Only take long trades above both VWAPs, shorts below both Band Rejection: Watch for candle rejections at outer bands for reversal signals Volume Confirmation: Strong moves should break bands with high volume Time of Day: VWAP is most reliable during high-volume sessions 📌 Important Notes VWAP resets based on anchor period selection Weekly VWAP uses Sunday as the start of the week Deviation bands require sufficient volume data Best used in combination with other technical analysis tools Not a standalone trading system - use proper risk management 🚀 Why Choose MRG VWAP Complete? ✅ Professional Grade: Used by institutional traders ✅ Maximum Flexibility: Adapt to any trading style ✅ Visual Clarity: Customizable colors and fills ✅ Dual Perspective: Intraday + weekly analysis combined ✅ Easy to Use: Intuitive parameter organization ✅ Performance Optimized: Efficient code for smooth charting Master volume-weighted price analysis with the most complete VWAP indicator available! 📊🚀 💼 Perfect For Professional Traders Whether you're a retail trader or institutional analyst, MRG VWAP Complete provides the tools you need to: Identify fair value zones Spot institutional order flow Time entries with precision Manage risk effectively Trade with the smart money Elevate your VWAP trading to the next level! 💎
אינדיקטור Pine Script®
מאת ‎MRG_Trade‎
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients. The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves. Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price. The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation. The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it. Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa. The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail. One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries. From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions. What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
אינדיקטור Pine Script®
מאת ‎The_Peaceful_Lizard‎
7
BBands Channels with EMAs# **BBands Channels with EMAs Indicator Explanation** --- ## **📌 Feature Overview** ### **1. Bollinger Bands** - **Basis Line**: 160-period SMA (adjustable) - **Inner Bands**: - **Upper**: Basis + 2× Standard Deviation - **Lower**: Basis - 2× Standard Deviation - **Outer Bands**: - **Upper Top**: Basis + 3× Standard Deviation - **Lower Low**: Basis - 3× Standard Deviation - **Fill Effect**: Semi-transparent black fill between inner and outer bands ### **2. Exponential Moving Averages (EMAs)** | Period | Purpose | Line Style | |--------------|-----------------------------|------------------| | **EMA 27** | Short-term trend | Thin line | | **EMA 120** | Short-to-medium-term trend | Medium line | | **EMA 200** | Medium-term trend | Medium line | | **EMA 1120** | Ultra-long-term trend | Thick line | --- ## **⚙️ Parameter Settings** ### **Bollinger Bands** | Parameter | Default | Description | |---------------|---------|--------------------------------------| | `length` | 160 | SMA calculation period | | `mult` | 2.0 | Standard deviation multiplier (inner bands) | | `multOuter` | 3.0 | Standard deviation multiplier (outer bands) | | `offset` | 0 | Time offset for plots (±500 bars) | ### **Exponential Moving Averages (EMAs)** | Parameter | Default | Description | |-----------------|---------|---------------------------| | `ema1Length` | 27 | EMA 1 period | | `ema2Length` | 120 | EMA 2 period | | `ema3Length` | 200 | EMA 3 period | | `ema4Length` | 1120 | EMA 4 period | --- ## **📊 Use Cases** ### **1. Trend Confirmation** - **Bullish Trend**: Price above EMA200 + Bollinger Band expansion - **Bearish Trend**: Price below EMA200 + Bollinger Band expansion ### **2. Overbought/Oversold Signals** - **Upper Band Touch**: Price reaches Upper Top → Potential overbought - **Lower Band Touch**: Price reaches Lower Low → Potential oversold ### **3. Volatility Strategies** - **Band Squeeze**: Narrowing gap between bands → Breakout warning - **Band Expansion**: Price breaks outer band → Trend acceleration --- **✅ Summary** This indicator combines **Bollinger Bands + Multi-period EMAs** for: - Trend tracking - Volatility analysis - Multi-timeframe strategies --- # **BBands Channels with EMAs 指標說明** --- ## **📌 功能概述** ### **1. 布林通道 (Bollinger Bands)** - **基礎線 (Basis Line)**: 160週期SMA（可調整） - **內通道 (Inner Bands)**: - 上軌 (Upper): 基礎線 + 2倍標準差 - 下軌 (Lower): 基礎線 - 2倍標準差 - **外通道 (Outer Bands)**: - 上外軌 (Upper Top): 基礎線 + 3倍標準差 - 下外軌 (Lower Low): 基礎線 - 3倍標準差 - **填充效果**: 內外通道間半透明黑色填充 ### **2. 指數移動平均線 (EMAs)** | 週期 | 用途 | 線條樣式 | |-------------|-------------------|-----------------| | **EMA 27** | 短期趨勢 | 細線 | | **EMA 120** | 中短期趨勢 | 中等線 | | **EMA 200** | 中期趨勢 | 中等線 | | **EMA 1120**| 超長期趨勢 | 粗線 | --- ## **⚙️ 參數設定** ### **布林通道 (Bollinger Bands)** | 參數名 | 預設值 | 說明 | |-------------|--------|---------------------------| | `length` | 160 | SMA計算週期 | | `mult` | 2.0 | 內通道標準差倍數 | | `multOuter` | 3.0 | 外通道標準差倍數 | | `offset` | 0 | 線圖時間偏移（±500根K棒） | ### **指數移動平均線 (EMAs)** | 參數名 | 預設值 | 說明 | |----------------|---------|-------------------| | `ema1Length` | 27 | 第一條EMA週期 | | `ema2Length` | 120 | 第二條EMA週期 | | `ema3Length` | 200 | 第三條EMA週期 | | `ema4Length` | 1120 | 第四條EMA週期 | --- ## **📊 應用場景** ### **1. 趨勢確認** - **多頭趨勢**: 價格在EMA200上方 + 布林通道擴張 - **空頭趨勢**: 價格在EMA200下方 + 布林通道擴張 ### **2. 超買超賣信號** - **觸及外軌**: 價格觸碰Upper Top → 可能超買 - **觸及下軌**: 價格觸碰Lower Low → 可能超賣 ### **3. 波動率策略** - **通道收窄**: 內外通道間距縮小 → 突破預警 - **通道擴張**: 價格突破外軌 → 趨勢加速 --- **✅ 總結** 本指標透過**布林通道+多週期EMA**的組合，適用於： - 趨勢跟蹤 - 波動率分析 - 多時間框架策略
אינדיקטור Pine Script®
מאת ‎brotherjay‎
1
DBMA - Dual Bollinger Moving AverageThe Dual Bollinger moving average (DBMA) consists of a moving average (MA) & two Bollinger Bands (BB), with the color of the bands representing the level of price compression. In its default settings, it is a 20-day simple moving average with 2 upper Bollinger Bands, having the standard deviation (SD) settings of 0.5 & 1, respectively. How close the price is to the moving average? For a pullback trader, the entry point should be close to the moving average, preferably with price compression. How close should it be, is where the bands serve as a guide. The low of the pullback candle should be within the bands, that is, at least within the far band (1 SD of the MA), or even better if it's within the near band (0.5 SD). When the price is outside the bands, it should not be considered favourable for a pullback entry. For how long has the price been closer to the moving average? John Carter’s TTM Squeeze indicator looked at the relationship between Bollinger Bands and Keltner's Channels to help identify period of volatility contractions. Bollinger Bands being completely enclosed within the Keltner Channels is indicative of a very low volatility. This is a state of volatility contraction known as squeeze. Using different ATR lengths (1.0, 1.5 and 2.0) for Keltner Channels, we can differentiate between levels of squeeze (High, Mid & Low compression, respectively). Greater the compression, higher the potential for explosive moves. The squeeze portion of the script is based on LazyBear's script ( Squeeze Momentum Indicator ) The High, Mid & Low compression squeezes are depicted via the color of the bands being red, orange, or yellow, respectively. With the low of the pullback candle within the bands, & the squeeze color changing to red, it should be considered favourable for a pullback entry. Trailing the price with the lower bands The lower bands can be used for trailing with the moving average. While trailing, once the price closes below the moving average, the trailing stoploss (TSL) is said to be triggered, & the trade is exited. Here we use the bands to give it some cushion. Let the price close below the 1SD band for labelling the TSL as being triggered to exit the trade. If the price closes below the MA but is still within the bands, the signal is to keep holding the trade.
אינדיקטור Pine Script®
מאת ‎finallynitin‎
19
Q-Trend + Keltner Squeeze ZonesThe indicator you are using is a **custom combination** of two distinct tools overlaid on the same chart in TradingView: **Q-Trend** (by tarasenko_) and a **Keltner Channel Squeeze** setup (with Bollinger Bands for squeeze detection). The result is a visual system designed to identify trend direction and manage positions with volatility-aware levels. ### 1. Q-Trend Component **Purpose**: Determines the overall trend bias and generates entry/continuation signals. **How it works** (core logic): - It calculates a dynamic **trend line** (often labeled "Q-Trend Line" when visible) as the midpoint between the highest and lowest price over a long lookback period (default 200 bars). - An **ATR-based buffer** (epsilon = ATR × multiplier, default 1.0) is added/subtracted to create upper and lower threshold bands around this trend line. - Signals occur when price crosses or decisively moves beyond these thresholds: - **Buy signal** → price breaks above the upper threshold (trend line + epsilon). - **Sell signal** → price breaks below the lower threshold (trend line – epsilon). - **Strong signals** incorporate additional conditions based on proximity to recent range extremes. - Bar coloring (blue for bullish, red for bearish by default) and optional labels/arrows reinforce the trend direction. **Practical role in your setup**: - Acts as the **primary trend filter**. - You only consider long positions when the chart shows bullish coloring/signals, and short positions when bearish. ### 2. Keltner Channel Squeeze Component **Purpose**: Identifies periods of low volatility (compression) and potential directional breakouts, while providing dynamic support/resistance and trailing levels. **How it works**: - **Center line** → 20-period EMA of close (orange when visible) — serves as your visual midpoint reference. - **Inner bands** → Center ± (ATR × inner multiplier). Default inner = 1.8 ATR. - **Outer bands** → Center ± (ATR × outer multiplier). Default outer = 3.3 ATR. - **Bollinger Bands** (optional, default hidden) → 20-period SMA ± 2 standard deviations — used only internally to detect a **squeeze** (when BB width < inner Keltner width). - **Squeeze breakout arrows**: - Lime up arrow below bar → bullish breakout (close above upper inner band after squeeze). - Red down arrow above bar → bearish breakout (close below lower inner band after squeeze). - **Labels** appear at key events: - "SQUEEZE BREAK UP" / "SQUEEZE BREAK DOWN" on initial breakout. - "REBALANCE UP" / "REBALANCE DOWN" when price returns inside the inner band after a breakout (potential mean-reversion or failure). **Visual zones** (when fills are enabled): - Upper red zone (between inner and outer upper bands) → potential short/rejection area in downtrends. - Lower blue zone (between inner and outer lower bands) → potential long/rejection area in uptrends. ### Your Overall Strategy (as Described) This is a **trend-following system with volatility-based scaling and protection**. It is designed to enter/add to positions in the direction of the prevailing trend while using the Keltner structure for timing and risk management. **Key rules you follow**: 1. **Trend filter first** — Confirm direction with Q-Trend: - Bullish (blue bars, Buy/Strong Buy signals) → only consider long trades. - Bearish (red bars, Sell/Strong Sell signals) → only consider short trades. 2. **Addition (scaling in)**: - In an **uptrend**: Add to longs when price pulls back **below the centerline** (mid Keltner/EMA) or touches/rejects the **inner lower band**. - In a **downtrend**: Add to shorts when price rallies to the **inner upper band**. - Rationale: These are temporary retracements within the trend, not reversals. Scaling here improves average entry price. 3. **Entry trigger**: - Often initiated or confirmed by a Q-Trend Buy/Sell signal. - Keltner breakout arrows (lime/red) can provide additional timing confirmation. 4. **Trailing stop-loss**: - For **long positions**: Trail stop-loss below the **outer lower band** (lower_outer). - For **short positions**: Trail stop-loss above the **outer upper band** (upper_outer). - As price moves favorably, the outer band follows (via the shifting EMA + ATR), automatically locking in gains. - Activate/tighten the trail upon entry (e.g., after a Buy signal or breakout arrow). **Risk considerations**: - Use position sizing appropriate to account risk (e.g., 1–2% per trade). - The outer bands widen in high volatility → more room to breathe but larger potential loss. - Avoid forcing trades in choppy/range-bound markets (Q-Trend signals become less reliable). - Backtest on your specific instrument/timeframe (e.g., futures like ES/NQ) to validate behavior. This setup rewards patience: wait for clear trend alignment (Q-Trend), add on volatility-supported pullbacks (Keltner inner/mid), and let winners run while protecting with adaptive trailing levels (Keltner outer). If you would like clarification on any parameter, visual adjustment, or addition of alerts for your exact rules, please specify.
אינדיקטור Pine Script®
מאת ‎Servantthought‎
Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure. At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior. The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred. 🔹 Features 🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis) HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter: - H > Trend Start threshold suggests trend persistence and directional continuation. - H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value. Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias. This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility. 🔸 Dual Channel Engine (Fast vs Slow Models) Instead of relying on one fixed channel, HOAC computes two independent channel candidates: Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments. Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow. Each model produces: - A midline (basis) - Outer bands (wider deviation) - Inner bands (tighter deviation) This structure gives you a clear core zone and an outer envelope that better represents volatility expansion. 🔸 Rolling Optimization Memory (Model Selection by Error) HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error. This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?” Additionally: If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most. 🔸 Optional Output Smoothing (User-Selectable) The final selected channel can be smoothed using your choice of: - SMA - EMA - HMA - RMA This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine. 🔸 Premium Visualization Layer (Inner Core + Outer Fade) HOAC uses a layered band design: - Inner bands define the core equilibrium zone around the midline. - Outer bands define an extended volatility envelope for extremes. Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity. 🔸 Adaptive Bar Tinting Strength (Regime Intensity) Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle. 🔸 Mean-Reversion Signal Layer Mean-reversion signals are enabled when the environment is not classified as Trending: - Buy when price crosses back above the lower outer band - Sell when price crosses back below the upper outer band This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default. 🔸 Minimalist Dashboard (HUD) A compact table displays: - Current regime classification - Smoothed Hurst value - Which model is currently preferred (Fast or Slow) - Trend flow direction (based on midline slope) 🔹 Calculations 1) Robust Hurst Exponent (R/S Analysis) The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent. calc_robust_hurst(int length) => float r = math.log(close / close ) float returns = array.new_float(length) for i = 0 to length - 1 array.set(returns, i, r ) float mean = array.avg(returns) float cumDev = 0.0 float maxCD = -1.0e10 float minCD = 1.0e10 float sumSqDiff = 0.0 for i = 0 to length - 1 float val = array.get(returns, i) sumSqDiff += math.pow(val - mean, 2) cumDev += (val - mean) if cumDev > maxCD maxCD := cumDev if cumDev < minCD minCD := cumDev float R = maxCD - minCD float S = math.sqrt(sumSqDiff / length) float RS = (S == 0) ? 0.0 : (R / S) float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5 hurst This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure. 2) Hurst Smoothing Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions. float rawHurst = calc_robust_hurst(i_hurstLen) float hVal = ta.ema(rawHurst, i_smoothHurst) This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display. 3) Regime Classification The smoothed Hurst reading is compared to user thresholds to label the environment. string regime = "NEUTRAL" if hVal > i_trendZone regime := "TRENDING" else if hVal < i_chopZone regime := "MEAN REV" Higher Hurst implies more persistence, so the indicator treats it as a trend environment. Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation. 4) Dual Channel Models (Fast and Slow) HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers. Fast model (more reactive): float fastBasis = ta.wma(close, 20) float fastDev = ta.stdev(close, 20) ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis)) Slow model (more stable): float slowBasis = ta.wma(close, 50) float slowDev = ta.stdev(close, 50) ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis)) Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)). 5) Rolling Error Memory and Model Preference To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals. var float errFast = array.new_float() var float errSlow = array.new_float() update_error(float errArr, float error, int maxLen) => errArr.unshift(error) if errArr.size() > maxLen errArr.pop() Each bar updates both error histories and computes which model has lower recent accumulated error. update_error(errFast, fastM.error, i_optLookback) update_error(errSlow, slowM.error, i_optLookback) bool preferFast = errFast.sum() < errSlow.sum() This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars. 6) Winner Selection Logic (Regime-Aware Hybrid) The final model selection uses both regime and rolling error performance. ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM) rawMid := winner.mid rawUp := winner.upper rawDn := winner.lower rawUpInner := winner.upper_inner rawDnInner := winner.lower_inner In Mean Reversion, the script forces the fast model to ensure responsiveness. Otherwise, it selects the lowest-error model between fast and slow. 7) Optional Output Smoothing After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type. smooth(float src, string type, int len) => switch type "SMA" => ta.sma(src, len) "EMA" => ta.ema(src, len) "HMA" => ta.hma(src, len) "RMA" => ta.rma(src, len) => src float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner This preserves decision integrity since smoothing happens after model selection, not before. 8) Dynamic Visual Intensity From Hurst Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints. int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
אינדיקטור Pine Script®
מאת ‎UnknownUnicorn113699460‎
Unmitigated MTF High Low Pro - Cave Diving Bookmap Heatmap Plot Unmitigated MTF High Low Pro - Cave Diving Bookmap Heatmap Plot --- ## 📖 Table of Contents 1. (#what-this-indicator-does) 2. (#core-concepts) 3. (#visual-components) 4. (#the-cave-diving-framework) 5. (#how-to-use-it-for-trading) 6. (#settings--customization) 7. (#best-practices) 8. (#common-scenarios) --- ## What This Indicator Does The **Unmitigated MTF High Low v2.0** tracks unmitigated (untouch) high and low levels across multiple timeframes, helping you identify key support and resistance zones that the market hasn't revisited yet. Think of it as a sophisticated memory system for price action - it remembers where price has been, and more importantly, where it *hasn't been back to*. ### Why "Unmitigated" Matters In futures trading, especially on instruments like NQ and ES, the market has a tendency to revisit levels where liquidity was left behind. An "unmitigated" level is one that hasn't been touched since it was formed. These levels often act as magnets for price, and understanding their age and proximity gives you a significant edge in: - **Entry timing** - Waiting for price to approach tested levels - **Exit planning** - Taking profits before ancient resistance/support - **Risk management** - Avoiding entries when approaching multiple old levels - **Liquidity mapping** - Visualizing where orders likely cluster --- ## Core Concepts ### 1. **Sessions & Age** The indicator uses **New York trading sessions** (6:00 PM to 5:59 PM NY time) as the primary time measurement. This aligns with how futures markets naturally segment their activity. **Age Categories:** - 🟢 **New (0-1 sessions)** - Fresh levels, recently formed - 🟡 **Medium (2-3 sessions)** - Tested by time, gaining significance - 🔴 **Old (4-6 sessions)** - Highly significant, survived multiple days - 🟣 **Ancient (7+ sessions)** - Extreme significance, major support/resistance The longer a level remains unmitigated, the more significant it becomes. Think of it like compound interest - time adds weight to these zones. ### 2. **Multi-Timeframe Tracking** You can set the indicator to track high/low levels from any timeframe (default is 15 minutes). This means you're watching for unmitigated 15-minute highs and lows while trading on, say, a 1-minute or 5-minute chart. **Why this matters:** - Higher timeframe levels have more weight - You can see multiple timeframe structure simultaneously - Helps you avoid fighting larger timeframe momentum ### 3. **Mitigation** A level becomes "mitigated" (deactivated) when price touches it: - **High levels** are mitigated when price reaches or exceeds them - **Low levels** are mitigated when price reaches or goes below them Once mitigated, the level disappears from view. The indicator only shows you the untouch levels that still matter. --- ## Visual Components ### 📊 The Dashboard Table Located in the corner of your chart (configurable), the table shows: ``` ┌─────────┬───────────┬────────┬─────┬───────┐ │ Level │ Price │ Points │ Age │ % │ ├─────────┼───────────┼────────┼─────┼───────┤ │ ↑↑↑↑↑ │ 21,450.25 │ +45.50 │ 8 │ +0.21%│ ← 5th High (Ancient) │ ↑↑↑↑ │ 21,430.00 │ +25.25 │ 5 │ +0.12%│ ← 4th High (Old) │ ↑↑↑ │ 21,420.50 │ +15.75 │ 3 │ +0.07%│ ← 3rd High (Medium) │ ↑↑ │ 21,412.00 │ +7.25 │ 1 │ +0.03%│ ← 2nd High (New) │ ↑ ⚠️ │ 21,408.25 │ +3.50 │ 0 │ +0.02%│ ← 1st High (Proximity Alert!) ├─────────┼───────────┼────────┼─────┼───────┤ │ 15 mins │ 🟢 │ Δ 8.75 │ 2U │ │ ← Status Row ├─────────┼───────────┼────────┼─────┼───────┤ │ ↓ ⚠️ │ 21,399.50 │ -5.25 │ 0 │ -0.02%│ ← 1st Low (Proximity Alert!) │ ↓↓ │ 21,395.00 │ -9.75 │ 2 │ -0.05%│ ← 2nd Low (Medium) │ ↓↓↓ │ 21,385.25 │ -19.50 │ 4 │ -0.09%│ ← 3rd Low (Old) │ ↓↓↓↓ │ 21,370.00 │ -34.75 │ 6 │ -0.16%│ ← 4th Low (Old) │ ↓↓↓↓↓ │ 21,350.75 │ -54.00 │ 9 │ -0.25%│ ← 5th Low (Ancient) ├─────────┼───────────┼────────┼─────┼───────┤ │ 📊 15↑ / 12↓ │ ← Statistics (optional) └─────────┴───────────┴────────┴─────┴───────┘ ``` **Reading the Table:** - **Level Column**: Number of arrows indicates position (1-5), color shows age - **Price**: The actual price level - **Points**: Distance from current price (+ for highs, - for lows) - **Age**: Number of full sessions since creation - **%**: Percentage distance from current price - **⚠️**: Proximity alert - price is within threshold distance - **Status Row**: Shows timeframe, direction (🟢 bullish/🔴 bearish), tunnel width (Δ), and Strat pattern ### 📈 Visual Elements on Chart **1. Level Lines** - Horizontal lines showing each unmitigated level - **Color-coded by age**: Bright colors = new, darker = older, deep purple/teal = ancient - **Line style**: Customizable (solid, dashed, dotted) - Automatically turn **yellow** when price gets close (proximity alert) **2. Price Labels** - Show the exact price and age: "21,450.25 (8d)" - Fixed at small size for clean readability - Positioned with configurable offset from current bar **3. Bands (Optional)** - Shaded zones between pairs of unmitigated levels - Default: Between 1st and 2nd levels (the "tunnel") - Can switch to 1st-3rd, 2nd-3rd, or disable entirely - **Upper band** (pink/maroon) - Between unmitigated highs - **Lower band** (blue/teal) - Between unmitigated lows - These represent the "no man's land" or consolidation zones --- ## The Cave Diving Framework This indicator is designed around the **Cave Diving Trading Framework** - a psychological and technical approach that maps cave diving safety protocols to futures trading risk management. ### 🤿 The Core Metaphor **Cave diving has clear danger zones based on depth and overhead environment. Your trading should too.** #### Shallow Water (New Levels, 0-1 Sessions) - **Light**: Bright colors (bright red highs, bright green lows) - **Psychology**: Fresh territory, recently tested - **Trading**: Be aware but not overly concerned - **Cave Diving Parallel**: You can see the surface, easy exit #### Penetration Depth (Medium Levels, 2-3 Sessions) - **Light**: Medium intensity colors - **Psychology**: Building significance, market memory forming - **Trading**: Start respecting these levels for entries/exits - **Cave Diving Parallel**: Deeper in, need to track your line back #### Deep Dive Zone (Old Levels, 4-6 Sessions) - **Light**: Dark colors (deep maroon, dark blue) - **Psychology**: Highly tested support/resistance - **Trading**: Major decision points, plan accordingly - **Cave Diving Parallel**: Significant overhead, careful navigation required #### Overhead Environment (Ancient Levels, 7+ Sessions) - **Light**: Very dark, purple/deep teal - **Psychology**: Extreme caution required, major liquidity zones - **Trading**: These are your "turn back" signals - don't fight ancient levels - **Cave Diving Parallel**: Maximum danger, no room for error ### 🎯 The Proximity Alert System Just like a cave diver's depth gauge that warns at critical thresholds, the proximity alerts (⚠️) tell you when you're entering a danger zone. When price gets within your configured threshold (default 5 points), the indicator: - Highlights the level in **yellow** on the chart - Shows **⚠️** in the table - Signals: "You're entering a high-significance zone - adjust your position accordingly" This prevents the trading equivalent of going deeper into a cave without checking your air supply. --- ## How to Use It for Trading ### 🎯 Entry Strategies **1. The "Bounce Setup" (Mean Reversion)** - Wait for price to approach an old or ancient unmitigated level - Look for confluence: multiple levels nearby, bands narrowing - Enter when price shows rejection (reversal candle patterns) - **Example**: Price drops to a 6-session-old low, shows bullish engulfing → Long entry **2. The "Break and Retest" (Trend Following)** - Wait for price to break through an unmitigated level (mitigates it) - Enter on the retest of the newly broken level - **Example**: Price breaks above 4-session-old high → Wait for pullback to that level → Long entry **3. The "Tunnel Trade" (Range Trading)** - When bands are active, trade the range between 1st-2nd levels - Short near upper band resistance, long near lower band support - Exit at opposite side or when bands break ### 🚨 Risk Management Rules **The Ancient Level Rule** > Never fight ancient levels (7+ sessions). If you're long and approaching an ancient high, take profits. If you're short and approaching an ancient low, take profits. These levels have survived a full trading week without being touched - there's likely significant liquidity and institutional interest there. **The Proximity Exit Rule** > When you see ⚠️ proximity alerts on multiple levels above/below your position, tighten stops or scale out. This is your "overhead environment" warning. You're in dangerous territory. **The New Level Filter** > Be cautious taking positions based solely on new levels (0-1 sessions). Wait for them to age or combine with other confluence. Fresh levels haven't been tested by time. They're like unconfirmed support/resistance. ### 📊 Reading Market Structure **Bullish Structure (🟢 in status row)** - Unmitigated lows are aging and holding - Price respecting the lower band - Old lows below acting as strong support - **Bias**: Look for long entries at lower levels **Bearish Structure (🔴 in status row)** - Unmitigated highs are aging and holding - Price respecting the upper band - Old highs above acting as strong resistance - **Bias**: Look for short entries at higher levels **The Tunnel Compression** - When the Δ (delta) in the status row is small, levels are tight - This often precedes a breakout - **Trading**: Wait for breakout direction, then trade the break ### 🔄 Strat Integration The indicator shows Strat patterns in the status row: - **1** - Inside bar (consolidation) - **2U** - Broke high only (bullish) - **2D** - Broke low only (bearish) - **3** - Broke both (wide range, volatility) Use these with the unmitigated levels: - **2U near old high** → Potential resistance, watch for rejection - **2D near old low** → Potential support, watch for bounce - **3 pattern** → High volatility, respect wider stops --- ## Settings & Customization ### 📅 Session & Timeframe Settings **HL Interval** (Default: 15 minutes) - The timeframe for high/low calculation - **Lower (1m, 5m)**: More levels, more noise, good for scalping - **Higher (30m, 1H, 4H)**: Fewer levels, stronger significance, good for swing trading - **Recommendation for NQ/ES**: 15m or 30m for day trading, 1H for swing trading **Session Age Threshold** (Default: 2) - How many sessions before a level is considered "old" - Lower = more levels classified as old - Higher = stricter definition of significance ### 📊 Level Display Options **Show Level Lines** - Toggle: Display horizontal lines for each level - **Turn off** if you prefer a cleaner chart and only want the table **Show Level Labels** - Toggle: Display price labels on the chart - **Turn off** for minimal visual clutter **Label Offset** - Distance (in bars) from current price bar to place labels - Increase if labels overlap with price action **Level Line Width & Style** - Customize visual appearance - **Thin solid**: Minimal distraction - **Thick dashed**: High visibility ### 🎨 Age-Based Color Coding Customize colors for each age category (high and low separately): - **New (0-1 sessions)**: Default bright red/green - **Medium (2-3 sessions)**: Default medium intensity - **Old (4+ sessions)**: Default dark red/blue - **Ancient (7+ sessions)**: Default deep purple/teal **Color Strategy Tips:** - Keep ancient levels in highly contrasting colors - Use opacity (transparency) if you want subtler lines - Match your chart's color scheme for aesthetic coherence ### 🎯 Band Settings **Band Mode** - **1st-2nd** (Default): The primary "tunnel" between most recent levels - **1st-3rd**: Wider band, more room for price action - **2nd-3rd**: Band between less immediate levels - **Disabled**: No bands, lines only **Band Colors & Borders** - Customize fill color and border separately - **Tip**: Keep bands very transparent (90-95% transparency) to avoid obscuring price action ### ⚠️ Proximity Alert Settings **Enable Proximity Alerts** - Toggle: Turn on/off the warning system - When enabled, levels within threshold distance show ⚠️ and turn yellow **Alert Threshold** (Default: 5.0 points) - Distance in points to trigger the alert - **For NQ**: 5-10 points is reasonable - **For ES**: 2-5 points is reasonable - **For MES/MNQ**: Scale down proportionally **Alert Highlight Color** - The color lines/labels turn when proximity is triggered - Default: Yellow (high visibility) ### 📋 Table Settings **Show Table** - Toggle: Display the dashboard table **Table Location** - Top Left, Top Right, Bottom Left, Bottom Right - Choose based on your chart layout and other indicators **Text Size** - Tiny, Small, Normal, Large - **Recommendation**: Normal for 1080p monitors, Small for 4K **Show % Distance** - Toggle: Add percentage distance column to table - Useful for comparing relative distances across different price ranges **Show Statistics Row** - Toggle: Show total count of unmitigated highs/lows - Format: "📊 15↑ / 12↓" (15 unmitigated highs, 12 unmitigated lows) - Useful for gauging overall market structure ### ⚡ Performance Settings **Enable Level Cleanup** - Automatically remove very old levels to maintain performance - **Keep on** unless you want unlimited history **Max Lookback Levels** (Default: 10,000) - Maximum number of levels to track - 10,000 ≈ 6+ months of 15-minute bars - **Increase** if you want more history - **Decrease** if experiencing performance issues **Max Boxes Per Band** (Default: 245) - TradingView limit is 500 total boxes - With 2 bands, 245 each = 490 total (safe maximum) --- ## Best Practices ### 🎯 Position Management **1. Scaling In Near Old Levels** ``` Price approaching 5-session-old low: - First position: 30% size at proximity alert (⚠️) - Second position: 40% size at exact level - Third position: 30% size if it shows strong rejection ``` **2. Scaling Out Near Ancient Levels** ``` Holding long position, approaching 8-session-old high: - Exit 50% at proximity alert (⚠️) - Exit 30% at exact level - Trail stop on remaining 20% ``` ### 🧠 Trading Psychology Integration Drawing from principles in *The Mountain Is You*, this indicator helps you: **1. Recognize Self-Sabotage Patterns** - **The Premature Entry**: Entering before price reaches your planned level - **Solution**: Set alerts at unmitigated levels, wait for proximity warnings - **The Profit-Taking Problem**: Exiting too early from fear - **Solution**: Identify the next unmitigated level and commit to holding until proximity alert - **The Loss Holding**: Refusing to exit losing trades - **Solution**: When price breaks through and mitigates your entry level, it's telling you the structure changed **2. Building Better Habits** The color-coded age system trains your brain to: - Respect levels that have proven themselves over time - Distinguish between noise (new levels) and structure (old levels) - Make decisions based on objective data, not fear or greed **3. Emotional Regulation** The proximity alerts serve as: - **Circuit breakers** - Forcing you to re-evaluate before dangerous zones - **Permission to act** - Giving you objective signals to exit without second-guessing - **Validation** - Confirming when you're in alignment with market structure ### 📝 Pre-Market Routine **Daily Setup Checklist:** 1. ✅ Identify the 3 nearest unmitigated highs above current price 2. ✅ Identify the 3 nearest unmitigated lows below current price 3. ✅ Note which are ancient (7+) - these are your "no-go" zones 4. ✅ Check the tunnel width (Δ in status row) - tight or wide? 5. ✅ Set alerts at the 1st high and 1st low for proximity warnings 6. ✅ Plan: "If we go up, I exit at ___. If we go down, I enter at ___." ### 🔄 Timeframe Confluence **Multi-Timeframe Strategy:** Run the indicator on **three instances**: - **15-minute** (short-term structure) - **1-hour** (intermediate structure) - **4-hour** (major structure) **Strong Setup**: When all three timeframes show unmitigated levels converging at the same price zone. **Example:** - 15m: Old low at 21,400 - 1H: Ancient low at 21,398 - 4H: Ancient low at 21,395 - **Result**: 21,395-21,400 is a monster support zone ### ⚠️ What This Indicator Doesn't Do **Not a Crystal Ball** - It doesn't predict where price will go - It shows you where price *hasn't been* and how long it's been avoided - The trading decisions are still yours **Not an Entry Signal Generator** - It provides context and structure - You need to combine it with your entry methodology (price action, indicators, order flow, etc.) **Not Foolproof** - Ancient levels get broken - Proximity alerts can trigger early in strong trends - The market doesn't "owe" you a reversal at any level --- ## Common Scenarios ### Scenario 1: "Level Cluster Ahead" **Situation**: You're long at 21,400. The table shows: - 1st High: 21,425 (2 sessions old) - 2nd High: 21,428 (3 sessions old) - 3rd High: 21,435 (6 sessions old) **Interpretation**: There's a resistance cluster just 25-35 points away. The 6-session-old level is particularly significant. **Action**: - Set first profit target at 21,420 (before the cluster) - Set second target at 21,426 (between 1st and 2nd) - Trail remaining position, but be ready to exit on rejection at 21,435 **Cave Diving Analogy**: You're approaching an overhead section with limited clearance. Lighten your load (reduce position) before entering. --- ### Scenario 2: "Ancient Level Approaches" **Situation**: The market is grinding higher. You see ⚠️ appear next to a 9-session-old high at 21,500. **Interpretation**: This level has survived over a week without being touched. Massive potential liquidity zone. **Action**: - If long, this is your absolute exit zone. Take profits before or at level. - If looking to short, wait for clear rejection (price taps and reverses) - Don't try to buy the breakout until it clearly breaks and retests **Cave Diving Analogy**: Your dive computer is beeping - you've reached your planned turn-back depth. No matter how interesting it looks ahead, honor your plan. --- ### Scenario 3: "Mitigated Levels Create New Structure" **Situation**: Price breaks and mitigates the 1st High. The previous 2nd High becomes the new 1st High. **Interpretation**: The structure just shifted. What was the 2nd level is now most relevant. **Action**: - Watch how price reacts to the newly-mitigated level - If it holds below (acts as resistance), bearish - If it reclaims and holds above (acts as support), bullish - The NEW 1st High is your next target/resistance **Cave Diving Analogy**: You've passed through a restriction - the cave layout ahead is different now. Update your mental map. --- ### Scenario 4: "Tight Tunnel, Upcoming Breakout" **Situation**: The Δ in the status row shows 3.25 points (very tight). Bands are converging. **Interpretation**: Price is consolidating between very close unmitigated levels. Breakout likely. **Action**: - Don't try to predict direction - Set alerts above 1st High and below 1st Low - When break occurs, trade the retest - Expect volatility - use wider stops **Cave Diving Analogy**: You're in a narrow passage. Movement will be sudden and directional once it starts. --- ### Scenario 5: "Imbalanced Structure" **Situation**: The statistics row shows "📊 22↑ / 7↓" **Interpretation**: There are many more unmitigated highs than lows. This suggests: - Price has been declining (hitting lows, leaving highs behind) - Potential bullish reversal zone (lots of overhead supply mitigated) - Or continued bearish structure (resistance everywhere above) **Action**: - Look at the age of those 22 highs - If mostly new (0-2 sessions): Just a recent downmove, not significant yet - If many old/ancient: Strong overhead resistance, be cautious on longs - Compare to price action: Is price respecting the remaining lows? **Cave Diving Analogy**: You've swam deeper than your starting point - most of your markers are above you now. Are you planning the ascent or going deeper? --- ## Final Thoughts: The Philosophy This indicator is built on a simple but powerful principle: **The market has memory, and that memory has weight.** Every unmitigated level represents: - Liquidity left behind - Orders waiting to be filled - Institutional interest potentially parked - Psychological significance for participants The longer a level remains unmitigated, the more "charged" it becomes. When price finally revisits it, something significant usually happens - either a strong reversal or a definitive break. Your job as a trader isn't to predict which outcome will occur. Your job is to: 1. **Recognize** when you're approaching these charged zones 2. **Respect** them by adjusting position size and risk 3. **React** appropriately based on how price behaves at them 4. **Remember** that ancient levels (like ancient wisdom) deserve extra reverence The Cave Diving Framework embedded in this indicator serves as a constant reminder: Trading, like cave diving, requires rigorous respect for environmental hazards, meticulous planning, and the discipline to turn back when your limits are reached. **Every proximity alert is the market asking you**: *"Do you really want to go deeper?"* Sometimes the answer is yes - when your setup, confluence, and risk management all align. Often, the answer should be no - and that's the trader avoiding the accident that would have happened to the gambler. --- ### 🎯 Quick Reference Card **Color System:** - 🟢 Bright colors = New (0-1 sessions) = Shallow water - 🟡 Medium colors = Medium (2-3 sessions) = Penetration depth - 🔴 Dark colors = Old (4-6 sessions) = Deep dive zone - 🟣 Deep dark colors = Ancient (7+ sessions) = Overhead environment **Symbols:** - ↑ ↑↑ ↑↑↑ ↑↑↑↑ ↑↑↑↑↑ = High levels (1st through 5th) - ↓ ↓↓ ↓↓↓ ↓↓↓↓ ↓↓↓↓↓ = Low levels (1st through 5th) - ⚠️ = Proximity alert (danger zone) - 🟢 = Bullish structure - 🔴 = Bearish structure - Δ = Tunnel width (distance between 1st high and 1st low) **Critical Rules:** 1. Never fight ancient levels (7+ sessions) 2. Respect proximity alerts (⚠️) 3. Scale out near old/ancient resistance 4. Wait for confluence when entering 5. Let mitigated levels prove their new role --- **Remember**: The indicator gives you structure. The trading edge comes from your discipline in respecting that structure. Trade safe, trade smart, and always know your exit before your entry. 🎯 --- *"You don't become your best self by denying your patterns. You become your best self by recognizing them, understanding them, and choosing differently." - Adapted from The Mountain Is You* In trading: You don't become profitable by ignoring market structure. You become profitable by recognizing it, understanding it, and choosing your entries accordingly.
אינדיקטור Pine Script®
מאת ‎DeLeBlanc‎
4
Squeeze Go Momentum Pro [KingThies] █ OVERVIEW The Squeeze Momentum Pro indicator identifies volatility compression phases and breakout opportunities by comparing Bollinger Bands to Keltner Channels. When price consolidates (squeeze), the bands contract inside the channels, signaling an imminent breakout. The momentum histogram shows directional bias, helping traders anticipate which way price will move when the squeeze releases. This indicator displays in a separate panel below the price chart, providing clear visual signals without cluttering price action. █ KEY FEATURES Momentum Histogram The histogram is the primary visual element, displaying momentum strength and direction with four distinct color states: • Dark Green (#00C853) — Strong bullish momentum that is increasing. This signals strengthening upward pressure and potential continuation. • Light Green (#26A69A) — Bullish momentum that is decreasing. Price remains in bullish territory but upward force is weakening. • Dark Red (#D32F2F) — Strong bearish momentum that is increasing. This signals strengthening downward pressure and potential continuation. • Light Red (#EF5350) — Bearish momentum that is decreasing. Price remains in bearish territory but downward force is weakening. The color intensity provides immediate feedback on momentum strength and trend health. Squeeze State Indicator Colored dots on the zero line communicate the current volatility state: • Orange Dots — Squeeze is ON. Bollinger Bands have contracted inside Keltner Channels, indicating consolidation and low volatility. A breakout is building and traders should prepare for directional movement. • Green Dots — Squeeze is OFF. Bollinger Bands have expanded outside Keltner Channels, indicating active momentum and higher volatility. Price is moving with conviction in the current direction. • Gray Dots — Neutral state. The bands are transitioning between squeeze states. Release Triangles Triangle shapes mark the exact bar when a squeeze releases, providing precise entry timing: • Green Triangle Up — Bullish squeeze release. The squeeze has ended with positive momentum, suggesting a long setup opportunity. • Red Triangle Down — Bearish squeeze release. The squeeze has ended with negative momentum, suggesting a short setup opportunity. Information Panel A compact dashboard in the top-right corner displays real-time trading intelligence: • Squeeze Status — Current state: ON, OFF, or NEUTRAL with color coding • Momentum Direction — Current bias: BULL or BEAR • Momentum Value — Precise numerical reading of momentum strength • Trading Signal — Actionable status: LONG SETUP, SHORT SETUP, WAIT, or MONITOR Configurable Parameters All calculation inputs are adjustable to match your trading style and timeframe: • BB Length — Bollinger Bands period (default: 20) • BB StdDev — Bollinger Bands standard deviation multiplier (default: 2.0) • KC Length — Keltner Channels period (default: 20) • KC ATR Multiplier — Keltner Channels range multiplier (default: 1.5) • Momentum Length — Linear regression period for momentum calculation (default: 20) Alert System Four alert conditions notify you of critical trading opportunities: • Bullish Squeeze Release — Squeeze has released with bullish momentum, indicating a potential long entry • Bearish Squeeze Release — Squeeze has released with bearish momentum, indicating a potential short entry • Squeeze Started — Volatility compression detected, prepare for upcoming breakout • Squeeze Ended — Volatility expansion confirmed, breakout is active █ TRADING METHODOLOGY The indicator follows a clear four-step process for identifying and trading squeeze breakouts: 1 - Wait for Orange Dots . When orange dots appear on the zero line, a squeeze is building. This indicates price consolidation and declining volatility. Do not enter trades during this phase. Instead, prepare by identifying key support and resistance levels and potential breakout directions. 2 - Watch for Release Triangle . When a triangle appears, the squeeze has released and a breakout is beginning. This is your entry signal. The triangle color (green up or red down) combined with the histogram direction indicates the breakout direction. 3 - Confirm with Histogram Direction . Check the momentum histogram for directional confirmation: • Green histogram + green triangle up = Go long. Bullish momentum supports upward breakout. • Red histogram + red triangle down = Go short. Bearish momentum supports downward breakout. 4 - Monitor Momentum Intensity . Stay in the trade while histogram bars maintain their dark, intense color. When colors lighten (dark green to light green, or dark red to light red), momentum is weakening and you should consider taking profits or tightening stops. █ INTERPRETATION GUIDE Squeeze Detection Logic A squeeze occurs when Bollinger Bands contract inside Keltner Channels. This happens when: • Standard deviation of price decreases (BB narrows) • Price consolidates within a tight range • Volatility compresses to unsustainable levels The orange dots signal this condition, warning traders that explosive movement is imminent. Squeeze Release Logic A squeeze releases when Bollinger Bands expand outside Keltner Channels. This happens when: • Price volatility increases sharply • Price breaks out of consolidation • Volume typically expands (check volume separately) The green dots and release triangles signal this condition, indicating the direction and timing of the breakout. Momentum Reading The histogram uses linear regression to calculate momentum relative to the midpoint of the recent range: • Above Zero : Price is trading above the range midpoint with bullish pressure • Below Zero : Price is trading below the range midpoint with bearish pressure • Increasing Bars : Momentum is strengthening in the current direction (darker color) • Decreasing Bars : Momentum is weakening in the current direction (lighter color) █ BEST PRACTICES • Timeframe Selection — The indicator works on all timeframes but performs best on 15-minute to daily charts. Lower timeframes may produce more false signals due to noise. • Confluence Trading — Combine squeeze releases with support/resistance levels, trend lines, or other indicators for higher probability setups. • Volume Confirmation — Check that squeeze releases occur with increasing volume. Low volume breakouts are more likely to fail. • Multiple Timeframe Analysis — Check higher timeframes for overall trend direction. Trade squeeze releases that align with the larger trend. • Parameter Adjustment — Increase BB and KC lengths for smoother signals on higher timeframes. Decrease for more sensitive signals on lower timeframes. █ LIMITATIONS • The indicator does not predict breakout direction before the squeeze releases. The momentum histogram provides bias but is not definitive until the breakout occurs. • False breakouts can occur, particularly in choppy or low-volume market conditions. Always use proper risk management and stop losses. • The indicator works best in trending markets. In deeply ranging markets with no clear direction, squeeze signals may be less reliable. • Momentum calculations use linear regression which can lag during extremely fast price movements. Confirm signals with price action. █ NOTES This implementation uses linear regression for momentum calculation rather than simple moving averages, providing more responsive and accurate directional signals. The four-color histogram system gives traders nuanced feedback on momentum strength that binary color schemes cannot provide. The indicator automatically adjusts to any symbol and timeframe without modification, making it suitable for stocks, forex, crypto, and futures markets. █ CREDITS Squeeze methodology inspired by John Carter's TTM Squeeze indicator. Momentum calculation and visual design optimized for modern trading workflows.
אינדיקטור Pine Script®
מאת ‎kingthies‎
1
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ ✅ Open-source publication with complete code visibility ✅ English-only title and description ✅ Detailed explanation of methodology and calculations ✅ Realistic commission (0.1%) and slippage (3 ticks) included ✅ All default parameters clearly documented ✅ Performance limitations and risks disclosed ✅ No unrealistic claims about performance ✅ No guaranteed results promised ✅ Appropriate for public library (original trend-following implementation with ZLEMA) ✅ Educational disclaimers included ✅ All features explained in detail ================================================================================
אסטרטגיית Pine Script®
מאת ‎Quant_Trading_Pro‎
1
Bollinger Band ToolkitBollinger Band Toolkit An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge. This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay. 🔹 Core Features 1. Adaptive Bollinger Bands (σ + ATR) Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance. Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends. 2. %B & RSI Divergence Detection 🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish). 🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish). ✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme. These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye. 3. Bollinger Band Squeeze (with Volume Filter) Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history. Volume confirmation ensures the squeeze only triggers when both volatility and participation contract. Often marks the “calm before the storm” — breakout potential zones. 4. Multi-Timeframe Breakout Markers Optionally displays breakouts from higher or lower timeframes using different colors/symbols. Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal. 5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ) Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map: Price holding between ±1σ → stable range / mean-reverting behavior Price riding near ±2σ → trending phase, sustained momentum Price touching or exceeding ±3σ → volatility expansion or exhaustion zone This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits. ⚙️ Inputs & Customization Choose band type (SMA/EMA/SMMA/WMA/VWMA) Adjust deviation multiplier (σ) and ATR multiplier Toggle individual features (divergence dots, squeeze markers, inner bands, etc.) Multi-timeframe and colour controls for advanced users 🧠 How to Use Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal. Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals. Confirm direction using multi-timeframe breakouts and volume expansion. 💬 Why It Works This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups.
אינדיקטור Pine Script®
מאת ‎LinesOnRice‎
Money NoodleMoney Noodle Indicator - How It Works The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system. Core Components 1. Triple EMA System ("The Noodles") Fast EMA (12): Most responsive to price changes, shows short-term momentum Medium EMA (21): Intermediate trend direction Slow EMA (35): Main trend line that acts as the central reference point The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles. 2. Dynamic Volatility Bands Upper Band: Main EMA + (ATR × Band Multiplier) Lower Band: Main EMA - (ATR × Band Multiplier) Uses a 20-period ATR (Average True Range) to measure market volatility Band width automatically adjusts - wider during volatile periods, tighter during consolidation How It Functions Trend Identification: When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend When EMAs are inverted (fast < medium < slow), it signals a downtrend EMA crossovers provide early trend change signals Support & Resistance: The bands act as dynamic support and resistance levels Price tends to bounce off the bands during trending markets Band breaks often signal strong momentum moves or trend changes Volatility Assessment: Band width indicates market volatility - wider bands = higher volatility ATR-based calculation makes the bands adaptive to current market conditions The 0.0125 multiplier provides optimal sensitivity for most timeframes Trading Applications Entry Signals: Buy when price bounces off the lower band with EMA alignment Sell when price bounces off the upper band against the trend Breakout trades when price decisively breaks through bands Trend Following: Use the main EMA (35) as your trend filter Trade in the direction of EMA alignment The "noodles" help identify trend strength - tighter = stronger trend Risk Management: Bands provide natural stop-loss levels Band width helps size positions (wider bands = smaller size due to higher volatility) The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
אינדיקטור Pine Script®
מאת ‎Angelo0x‎
Oculus Ultra Parallel S/R Channel**Oculus Ultra Parallel S/R Channel** *Version 1.0 | Pine Script v6* **Overview** This indicator overlays a statistically-driven support/resistance channel on your chart by fitting a linear regression (median) line and plotting parallel bands at a configurable multiple of standard deviation. It adapts dynamically to both trend and volatility, highlights potential reaction zones, and offers optional alerts when price touches key levels. **Key Features** * **Median Regression Line** Fits a best-fit line through the chosen lookback of price data, showing the underlying trend. * **Volatility-Based Bands** Upper and lower bands offset by *N*× standard deviation of regression residuals, capturing dynamic S/R zones. * **Dynamic Coloring** * Median line turns **teal** when sloping up, **orange** when sloping down. * Bands tinted green or red depending on their position relative to the median. * **Channel Fill** Optional shaded area between the bands for immediate visual context. * **Touch Alerts** Precision alerts and on-chart markers when price touches the support or resistance band, with configurable tick tolerance. * **Clean Layout** Minimal lines and plots to avoid chart clutter, adjustable via toggle inputs. **How to Use** 1. **Apply the Script** – Add to any timeframe in overlay mode. 2. **Configure Inputs** – * **Channel Length**: Number of bars for regression and volatility calculation. * **Deviation Factor**: Multiplier for band width (in standard deviations). * **Show/Hide Elements**: Toggle median line, bands, fill, and touch alerts. * **Color by Slope**: Enable slope-based median coloring. * **Touch Tolerance**: Number of ticks within which a band touch is registered. 3. **Interpret the Channel** – * **Trend**: Follow the slope and color of the median line. * **Support/Resistance**: Bands represent dynamic zones where price often reacts. * **Alerts**: Use touch markers or alert pop-ups to time entries or exits at band levels. **Inputs** * **Channel Length** (default: 100) * **Deviation Factor** (default: 1.0) * **Show Median Regression Line** (true/false) * **Show Channel Bands** (true/false) * **Fill Between Bands** (true/false) * **Color Median by Slope** (true/false) * **Alert on Band Touch** (true/false) * **Touch Tolerance (ticks)** (default: 2) **Version History** * **1.0** – Initial release with dynamic regression channel, slope coloring, band fill, and touch alerts. **Disclaimer** This indicator is intended for educational purposes. Always backtest with your own settings and apply sound risk management before trading live.
אינדיקטור Pine Script®
מאת ‎OnlyOneOculus‎
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay. Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action. ⚪ In simple terms: ▸ The Bands = The Stochastic Oscillator — but on price. ▸ The Midline = Stochastic 50 level ▸ Upper Band = Stochastic Overbought Threshold ▸ Lower Band = Stochastic Oversold Threshold When the price moves above the midline → it’s the same as the oscillator moving above 50 When the price breaks above the upper band → it’s the same as Stochastic entering overbought. When the price reaches the lower band →, think of it like Stochastic being oversold. This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart. █ How It Works The indicator layers 3 distinct technical elements into one clean view: ⚪ Stochastic Momentum Engine Tracks overbought/oversold conditions and directional strength using: %K Line → Momentum of price %D Line → Smoothing filter of %K Overbought/Oversold Bands → Highlight potential reversal zones ⚪ Volatility Adaptive Bands Dynamic bands plotted above and below price using: ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable) This means: → In strong trends: Bands expand → In consolidations: Bands contract ⚪ Regression Channel Projects trend direction with different models: Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks) Linear → Classic regression fit Adaptive → Dynamically adjusts sensitivity Leading → Projects trend further ahead (aggressive mode) Channels include: Midline → Fair value trend Upper/Lower Bounds → Deviation-based support/resistance ⚪ Heatmap - Bull & Bear Power Strength Visual heatmeter showing: % dominance of bulls vs bears (based on close > or < Band Basis) Automatic normalization regardless of timeframe Table display on-chart for quick visual insight Dynamic highlighting when extreme levels are reached ⚪ Trend Candlestick Coloring Bars auto-color based on trend filter: Above Basis → Bullish Color Below Basis → Bearish Color █ How to Use ⚪ Trend Trading → Use Band direction + Regression Channel to identify trend alignment → Longs favored when price holds above the Basis → Shorts favored when price stays below the Basis → Use the Bull & Bear heatmap to asses if the bulls or the bears are in control. ⚪ Mean Reversion → Look for price to interact with Upper or Lower Band extremes → Stochastic reaching OB/OS zones further supports reversals ⚪ Momentum Confirmation → Crossovers between %K and %D can confirm continuation or divergence signals → Especially powerful when happening at band boundaries ⚪ Strength Heatmap → Quickly visualize current buyer vs seller control → Sharp spikes in Bull Power = Aggressive buying → Sharp spikes in Bear Power = Heavy selling pressure █ Why It Useful This is not a typical Stochastic or regression tool. The tool is designed for traders who want to: React dynamically to price volatility Map momentum into volatility context Use adaptive regression channels across trend styles Visualize bull vs bear power in real-time Follow trends with built-in reversal logic █ Settings Stochastic Settings Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals. %K Smoothing → Smooths the Stochastic line itself. %D Smoothing → Smooths the moving average of %K for slower signals. Stochastic Band Band Length → Length of the Moving Average Basis. Volatility Multiplier → Controls band width via ATR scaling. Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA). Regression Channel Regression Type → Logarithmic / Linear / Adaptive / Leading. Regression Length → Number of bars for regression calculation. Heatmap Settings Heatmap Length → Number of bars to calculate bull/bear dominance. ----------------- 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.
אינדיקטור Pine Script®
מאת ‎Zeiierman‎
27
TP RSITP RSI - Integrated Trend, Momentum, and Volatility Analyzer The TP RSI indicator is an innovative 3-in-1 technical analysis tool that combines RSI, Bollinger Bands, and an EMA ribbon to provide traders with a comprehensive view of trend, momentum, and volatility in a single, easy-to-interpret visual display. Why This Combination? This mashup addresses three critical aspects of market analysis simultaneously: Trend identification and strength (EMA ribbon) Momentum measurement (RSI) Volatility assessment (Bollinger Bands) By integrating these components, traders can make more informed decisions based on multiple factors without switching between different indicators. How Components Work Together: 1. EMA Ribbon (Trend): 10 EMAs form 5 color-coded bands Blue: Uptrend, Red: Downtrend Provides a nuanced view of trend strength and potential reversals 2. RSI (Momentum): Color-coded for quick interpretation Blue: Upward momentum, Red: Downward momentum, White: Neutral Position relative to the ribbon offers additional insight 3. Bollinger Bands (Volatility): Applied to RSI for dynamic overbought/oversold levels Narrow bands indicate low volatility, suggesting potential breakouts Unique Aspects and Originality: Synergistic visual cues: Color coordination between ribbon and RSI Multi-factor confirmation: Requires alignment of trend, momentum, and volatility for strong signals Volatility-adjusted momentum: RSI interpreted within the context of Bollinger Bands How these components work together: Buy Signal: Blue ribbon with blue RSI outside the ribbon. Sell Signal: Red ribbon with red RSI outside the ribbon. Neutral: White RSI or RSI inside the ribbon (not recommended for trading) Increasing Momentum: RSI crossing above upper Bollinger Band (upward) or below lower Band (downward). Trend Strength: RSI rejection by the ribbon, while all bands are colored along with the trend direction, identifies a strong trend.
אינדיקטור Pine Script®
מאת ‎TrendlineProject‎
20
Johnny's Adjusted BB Buy/Sell Signal"Johnny's Adjusted BB Buy/Sell Signal" leverages Bollinger Bands and moving averages to provide dynamic buy and sell signals based on market conditions. This indicator is particularly useful for traders looking to identify strategic entry and exit points based on volatility and trend analysis. How It Works Bollinger Bands Setup: The indicator calculates Bollinger Bands using a specified length and multiplier. These bands serve to identify potential overbought (upper band) or oversold (lower band) conditions. Moving Averages: Two moving averages are calculated — a trend moving average (trendMA) and a long-term moving average (longTermMA) — to gauge the market's direction over different time frames. Market Phase Determination: The script classifies the market into bullish or bearish phases based on the relationship of the closing price to the long-term moving average. Strong Buy and Sell Signals: Enhanced signals are generated based on how significantly the price deviates from the Bollinger Bands, coupled with the average candle size over a specified lookback period. The signals are adjusted based on whether the market is bullish or bearish: In bullish markets, a strong buy signal is triggered if the price significantly drops below the lower Bollinger Band. Conversely, a strong sell signal is activated when the price rises well above the upper band. In bearish markets, these signals are modified to be more conservative, adjusting the thresholds for triggering strong buy and sell signals. Features: Flexibility: Users can adjust the length of the Bollinger Bands and moving averages, as well as the multipliers and factors that determine the strength of buy and sell signals, making it highly customizable to different trading styles and market conditions. Visual Aids: The script vividly plots the Bollinger Bands and moving averages, and signals are visually represented on the chart, allowing traders to quickly assess trading opportunities: Regular buy and sell signals are indicated by simple shapes below or above price bars. Strong buy and sell signals are highlighted with distinctive colors and placed prominently to catch the trader's attention. Background Coloring: The background color changes based on the market phase, providing an immediate visual cue of the market's overall sentiment. Usage: This indicator is ideal for traders who rely on technical analysis to guide their trading decisions. By integrating both Bollinger Bands and moving averages, it provides a multi-faceted view of market trends and volatility, making it suitable for identifying potential reversals and continuation patterns. Traders can use this tool to enhance their understanding of market dynamics and refine their trading strategies accordingly.
אינדיקטור Pine Script®
מאת ‎JonathanLeyva‎
1
Bollinger OTT SpreadBollinger OTT Spread (BOOTS) is a development combining Bollinger Bands with Optimized Trend Tracker (OTT) Indicator by Anıl Özekşi. Bollinger Bands have originally 3 lines: Simple Moving Average (Middle Line), Upper Band and Lower Band. BOOTS concentrates on the upper and lower Bollinger band lines. First, it calculates the OTT using the UPPER and LOWER Bollinger Bands in a period of time (default lengths are 2) instead of closing prices. After that, Upper and lower bands have more constant values. There are 2 lines in BOOTS: -The top (cyan) line is originally an OTT of the Upper Bollinger Band. (BOOTShigh) -The bottom line (purple) is also an OTT line but conversely uses Lower Bollinger Band in the same period. (BOOTSlow) Default values: Bollinger Bands Moving AveragePeriod: 2 Bars OTT Length: 2 Bars OTT Optimizing coefficient (percent): %10 Bollinger Bands Standart Deviation Multiplier: 2 (not adjustable) These values are designed for daily time frame, so they have to be optimized in other timeframes by the user. (Ex: Higher values can be considered in lower time frames) Originally, Bollinger Bands used a Simple Moving Average in their calculation, but this time, Anıl Özekşi prefers VIDYA (Variable Dynamic Moving Average = VAR) instead of a Simple Moving Average. Bollinger Bands cannot create significant BUY & SELL signals considering their original logic, but the primary purpose of BOOTS is to have substantial trading signals: BUY when the price crosses above the BOOTSLower line (purple line) STOP when the price crosses back below the BOOTSLower line (purple line) SELL when the price crosses below the BOOTSUpper line (cyan line) STOP when the price crosses back above the BOOTSUpper line (cyan line) The price zone between the two lines is the flat zone; traders don't consider taking new positions in that area between the two lines. Developer Anıl Özekşi advises that traders may have more accurate signals when using a short-period moving average instead of closing prices. So, I added a moving average with the same default length of 2 , which was used in Bollinger Bands calculation. You can check the "SHOW MOVING AVERAGE?" box on the settings tab of the indicator.
אינדיקטור Pine Script®
מאת ‎KivancOzbilgic‎
11
MoonFlag BTC Daily Swing PredictorThis script mainly works on BTC on the daily timeframe. Other coins also show similar usefulness with this script however, BTC on the daily timeframe is the main design for this script. (Please note this is not trading advice this is just comments about how this indicator works.) This script is predictive. It colors the background yellow when the script calculates a large BTC swing is potentially about to happen. It does not predict in which direction the swing will occur but it leads the price action so can be useful for leveraged trades. When the background gets colored with vertical yellow lines - this shows that a largish price swing is probably going to occur. The scripts also shades bands around the price action that are used to estimate an acceptable volatility at any given time. If the bands are wide that means price action is volatile and large swings are not easily predicted. Over time, with reducing volatility, these price action bands narrow and then at a set point or percentage (%) which can be set in the script settings, the background gets colored yellow. This indicates present price action is not volatile and a large price swing is potentially going to happen in the near future. When price action breaks through the narrowing bands, the background is no longer presented because this is seen as an increase in volatility and a considerable portion of the time, a large sudden drop in price action or momentous gain in price is realized. This indicator leads price action. It predicts that a swing is possibly going to happen in the near future. As the indicator works on the BTC daily, this means on a day-to-day basis if the bands continually narrow - a breakout is more likely to happen. In order to see how well this indicator works, have a look at the results on the screenshot provided. Note the regions where vertical yellow lines are present on the price action - and then look after these to see if a sizeable swing in price has occurred. To use this indicator - wait until yellow vertical lines are presented on the BTC daily. Then use your experience to determine which way the price action might swing and consider entering a trade or leveraged trade in this direction. Alternatively wait a while to see in which direction the break-out occurs and considering and attempt to trade with this. Sometimes swings can be unexpected and breakout in one direction before then swinging much larger in the other. Its important to remember/consider that this indicator works on the BTC daily timeframe, so any consideration of entering a trade should be expected to cover a duration over many days or weeks, or possibly months. A large swing is only estimated every several plus months. Most indicators are based on moving averages. A moving average is not predictive in the sense in that it lags price actions. This indicator creates bands that are based on the momentum of the price action. A change in momentum of price action therefore causes the bands to widen. When the bands narrow this means that the momentum of the price action is steady and price action volatility has converged/reduced over time. With BTC this generally means that a large swing in price action is going to occur as momentum in price action then pick-up again in one direction or another. Trying to view this using moving averages is not easy as a moving average lags price action which means that it is difficult to predict any sudden movements in price action ahead of when they might occur. Although, moving averages will converge over time in a similar manner as the bands calculated by this script. This script however, uses the price action momentum in a predictive manner to estimate where the price action might go based on present price momentum. This script therefore reacts to reduced volatility in price action much faster than a set of moving averages over various timescales can achieve. MoonFlag
אינדיקטור Pine Script®
מאת ‎MoonFlag‎
1
Scalp Tool This script is primarily intended as a scalping tool. The theory of the tool is based on the fact that the price always returns to its mean. Elements used: 1. VWMA as a moving average. VWMA is calculated once based on source close and once based on source open. 2. the bands are not calculated like the Bollinger Band, but only a settlement is calculated for the lower bands based on the Lows and for the upper bands based on the Highs. Thus the bands do not become thicker or thinner, but remain in the same measure to the mean value above or below the price. 3. a volume filter on simple calculation of a MA with deviation. Therefore, it can be identified if a volume breakout has occurred. 4. support and resistance zones which are calculated based on the highs and lows over a certain length. 5. RSI to determine oversold and overbought zones. It also tries to capture the momentum by using a moving average (variable selectable) to filter the signals. The theory is that in an uptrend the RSI does not go below 50 and in a downtrend it does not go above 50. However, this can be very different depending on the financial instrument. Explanation of the signals: The main signal in this indicator Serves for pure short-term trading and is generated purely on the basis of the bands and the RSI. Only the first bands are taken into account. Buy signal is generated when the price opens below the lower band 1 and closes above the lower band 1 or the RSI crosses a value of 25 from bottom to top. Sell signal is generated when the price opens above the Upper Band 1 and closes below the Upper Band 1 or the RSI crosses a value of 75 from top to bottom. The position should be closed when the price hits the opposite band. Alternatively, it can also be closed at the mean. Other side signals: 1. breakouts: The indicator includes 2 support and resistance zones, which differ only in length. For the breakout signals, the short version of the R/S is used. A signal is generated when the price breaks through the zones with increased volume. It is then assumed that the price will continue to follow the breakout. The values of the S/R are adjustable and marked with "BK". The value under Threshold 2 defines the volume breakout. 4 is considered as the highest value. The smaller the value, the smaller the volume must be during a breakout. 2. bounce If the price hits a S/R (here the long variant is used with the designation "Support" or "Resistance") and makes a wick with small volume, the script assumes a bounce and generates a Sell or Buy signal accordingly. The volume can be defined under "Threshold". The S/R according to the designation as well. Combined signals: If the value of the S/R BK and the S/R is the same and the bounce logic of the S/R BK applies and an RSI signal is also generated, a signal is also plotted. Here the idea was to get very strong signals for possible swing entries. 4. RSI Signals The script contains two RSI. RSI 1: Bullish signal is generated when the set value is crossed from the bottom to the top. Bearish signal is generated when the set value is crossed from the top to the bottom. RSI 2: Bullish signal is generated when the set value is crossed from the top to the bottom. Bearish signal is generated when the set value is crossed from bottom to top. For RSI 2 the theory is taken into account according to the description under Used elements point 5 Optical trend filter: Also an optical trend filter was generated which fills the bands accordingly. For this the VWMA is used and the two average values of the band. Color definition: Gray = Neutral Red = Bearish Green = Bullish If the mean value is above the VWMA and the mean value based on the closing price is above the mean value based on the open price, the band is colored green. It is a bullish trend If the mean value is below the VWMA and the mean value based on the closing price is below the mean value based on the open price, the band is colored red. The band is colored gray if the mean value is correspondingly opposite. A sideways phase is assumed. The script was developed on the basis of the pair BTCUSD in the 15 minute chart and the settings were defined accordingly on it. The display of S/R for forex pairs does not work correctly and should be hidden. The logic works anyway. When using the script, all options should first be set accordingly to the asset and tested before trading afterwards. It applies of course also here that there is no 100% guarantee. Also, a strong breakout leads to false signals and overheating of the indicator.
אינדיקטור Pine Script®
מאת ‎Demech‎
4
Ultimate Trend ChannelThe "Ultimate Trend Channel" indicator is a comprehensive trend analysis tool that calculates and displays a series of upper and lower bands based on user-defined input lengths. It uses linear regression and standard deviation to determine these bands for each of the 21 different group lengths. The indicator then computes the averages of these upper and lower bands, as well as the average of all the bands combined. The visualization on the chart includes the plotting of the average upper and lower bands, with the space between these bands shaded for easy visualization of the overall trend. Additionally, the average of all the bands, referred to as the "Ultimate Trend Line," is also plotted on the chart. This indicator provides a robust way of assessing market trends and volatility over varying periods, which can be extremely useful for both short-term and long-term trading strategies.
אינדיקטור Pine Script®
מאת ‎Julien_Exe‎
7
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions. Indicator Modes Bollinger-Style MAD Bands This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion. Upper Band = Dynamic Moving Average + (MAD × Multiplier) Lower Band = Dynamic Moving Average − (MAD × Multiplier) These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes. For-Loop Momentum Scoring Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series. A rising momentum score indicates strengthening bullish pressure A declining momentum score signals increasing bearish dominance This method emphasizes directional consistency rather than short-term noise. Hybrid Combined Signal This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal. +1 indicates bullish conditions (green) −1 indicates bearish conditions (red) An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend. Practical Application Signal Interpretation A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly. A sell signal is generated when both components align bearishly. Trend Confirmation The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions. ⚠️ Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
אינדיקטור Pine Script®
מאת ‎LyroRS‎
12