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NQ 2026 Strategic Levels + Market MemoryTitle: NQ Strategic Levels 2026: Volume Profile & Market Memory Description: This indicator plots the critical institutional levels for NQ (Nasdaq-100) heading into 2026. It is designed to help traders visualize the "Market Structure" map based on the 2025 yearly volume profile and key historical events. How it Works: The script projects three dynamic "Zones" and three fixed "Historical Markers" to the right of your chart. It does not clutter the past price action; it focuses on future price discovery. 1. The 2026 Active Zones (Boxes): 🛑 Resistance (Supply Zone): Derived from the "Trapped Buyers" of late 2025. This is where overhead supply is likely to cause profit-taking. ⚖️ The Pivot (Equilibrium): Based on the Q4 2025 High Volume Node (HVN). This is the "Line in the Sand." Above this zone, the weekly bias is Bullish. Below it, the bias shifts to Bearish/Correction. 💰 The Buy Zone (Support): The Yearly Value Area Low (VAL). This represents the strongest institutional support and a high-probability area for "Buy the Dip" programs. 2. The 2025 Market Memory (Dashed Lines): Triple Witch Liquidity: The December 2025 rejection high. AI Summer Breakout: The key breakout level from mid-2025 that flipped from resistance to support. Tariff Scare Floor: The macro bottom established during the volatility of April 2025. How to Use: Trend Followers: Watch the Pivot Zone. If price holds above it, target the Resistance Zone. Mean Reversion Traders: Look for rejections at the Resistance Zone or bounces at the Buy Zone. Risk Management: Use the Historical Markers as invalidated points or profit targets. Disclaimer: These levels are based on volume analysis and historical price action. Not financial advice. Trade at your own risk.
Pine Script® indicator
by panchamsh95353
Clock&Flow: Elements of Cycle Analysis 2nd partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework. The suite consists of two complementary modules: 🔹ECA 1 – Cycles, Structure, and Volatility (Overlay: True) ECA 1 is dedicated to the structural and temporal analysis of the market. Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to: Index: Standard quotes (e.g., Cash sessions). Future: Extended quotes (24h). 50-200: Classic institutional references for the medium-long term. ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions. Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context. Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions. 🔹 ECA 2 – Market Excesses, Strength, and Energy ECA 2 analyzes how the market moves within the cyclic structure. Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle. Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed. Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors: Price Velocity Normalized Volume Volatility (ATR relative to price) These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement. Operational Convergence The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase. When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation. Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction. Entries should always be accompanied by proper risk management. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo. La suite è composta da due moduli complementari: 🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true) ECA 1 è dedicato all’analisi strutturale e temporale del mercato. SMA cicliche (ratio ciclica) Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori). Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo Canali ciclici dinamici basati su ATR I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR). La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni. Info Table e Quick Guide Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso. Time Bands (Weekly / Daily) La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– 🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato ECA 2 analizza come il mercato si muove all’interno della struttura ciclica. Eccessi e divergenze (Stochastic ciclico) Oscillatore calibrato sulla stessa ratio ciclica della suite. Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo. Directional Movement System (DMS) L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione. L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa. Market Pulse – Energia reale del mercato Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione: velocità del prezzo volume normalizzato volatilità (ATR rapportato al prezzo) I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce. La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista. Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento. La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato. Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa. È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato. I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni. In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione. Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Pine Script® indicator
by JoMerende
Clock&Flow: Elements of Cycle Analysis 1st partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework. The suite consists of two complementary modules: 🔹 ECA 1 – Cycles, Structure, and Volatility (Overlay: True) ECA 1 is dedicated to the structural and temporal analysis of the market. Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to: Index: Standard quotes (e.g., Cash sessions). Future: Extended quotes (24h). 50-200: Classic institutional references for the medium-long term. ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions. Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context. Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions. 🔹 ECA 2 – Market Excesses, Strength, and Energy ECA 2 analyzes how the market moves within the cyclic structure. Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle. Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed. Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors: Price Velocity Normalized Volume Volatility (ATR relative to price) These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement. Operational Convergence The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase. When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation. Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction. Entries should always be accompanied by proper risk management. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo. La suite è composta da due moduli complementari: 🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true) ECA 1 è dedicato all’analisi strutturale e temporale del mercato. SMA cicliche (ratio ciclica) Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori). Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo Canali ciclici dinamici basati su ATR I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR). La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni. Info Table e Quick Guide Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso. Time Bands (Weekly / Daily) La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo. –––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– 🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato ECA 2 analizza come il mercato si muove all’interno della struttura ciclica. Eccessi e divergenze (Stochastic ciclico) Oscillatore calibrato sulla stessa ratio ciclica della suite. Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo. Directional Movement System (DMS) L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione. L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa. Market Pulse – Energia reale del mercato Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione: velocità del prezzo volume normalizzato volatilità (ATR rapportato al prezzo) I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce. La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista. Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento. La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato. Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa. È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato. I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni. In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione. Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Pine Script® indicator
by JoMerende
Wyckoff Method - Comprehensive Analysis# WYCKOFF METHOD - QUICK REFERENCE CHEAT SHEET ## 🟢 STRONGEST BUY SIGNALS ### 1. SPRING ⭐⭐⭐⭐⭐ - **What:** False breakdown below support on LOW volume - **Look for:** Quick reversal, close above support - **Entry:** When price closes back in range - **Stop:** Below spring low - **Target:** Top of range minimum ### 2. SOS (Sign of Strength) ⭐⭐⭐⭐ - **What:** Breakout above resistance on HIGH volume - **Look for:** Wide spread up bar, strong close - **Entry:** On breakout or wait for LPS pullback - **Stop:** Below range top - **Target:** Height of range projected up ### 3. SHAKEOUT ⭐⭐⭐⭐ - **What:** Sharp move below support with HIGH volume, immediate reversal - **Look for:** Long lower wick, closes strong - **Entry:** When price reclaims support - **Stop:** Below shakeout low - **Target:** Previous resistance --- ## 🔴 STRONGEST SELL SIGNALS ### 1. UTAD (Upthrust After Distribution) ⭐⭐⭐⭐⭐ - **What:** False breakout above resistance, quick rejection - **Look for:** Spike high, weak close, often high volume - **Entry:** When price closes back in range - **Stop:** Above UTAD high - **Target:** Bottom of range minimum ### 2. SOW (Sign of Weakness) ⭐⭐⭐⭐ - **What:** Breakdown below support on HIGH volume - **Look for:** Wide spread down bar, weak close - **Entry:** On breakdown or wait for LPSY rally - **Stop:** Above range bottom - **Target:** Height of range projected down ### 3. UPTHRUST ⭐⭐⭐⭐ - **What:** Move above resistance on LOW volume, weak close - **Look for:** Long upper wick, closes in lower half - **Entry:** When resistance holds - **Stop:** Above upthrust high - **Target:** Support level --- ## 📊 ACCUMULATION PHASES (Bottom Formation) ``` PHASE A: Stopping the Downtrend ├─ PS (Preliminary Support) - First buying ├─ SC (Selling Climax) - Panic bottom ⚠️ KEY EVENT ├─ AR (Automatic Rally) - Relief bounce └─ ST (Secondary Test) - Retest SC low PHASE B: Building the Cause ├─ Trading range forms ├─ Multiple tests of support ├─ Volume decreasing └─ Absorption occurring PHASE C: The Test ├─ SPRING - False breakdown ⚠️ KEY EVENT └─ TEST - Support holds on low volume PHASE D: Dominance Emerges ├─ SOS - Breakout ⚠️ KEY EVENT ├─ LPS - Last Point of Support (pullback) └─ BU - Backup PHASE E: Markup └─ New uptrend, strong momentum ``` **Background Color:** Blue → Green (getting brighter) **Action:** Buy in Phase C/D, Hold through Phase E --- ## 📊 DISTRIBUTION PHASES (Top Formation) ``` PHASE A: Stopping the Uptrend ├─ PSY (Preliminary Supply) - First selling ├─ BC (Buying Climax) - Euphoric top ⚠️ KEY EVENT ├─ AR (Automatic Reaction) - Sharp drop └─ ST (Secondary Test) - Retest BC high PHASE B: Building the Cause ├─ Trading range forms ├─ Multiple tests of resistance ├─ Demand being absorbed └─ Volume patterns change PHASE C: The Test └─ UTAD - False breakout ⚠️ KEY EVENT PHASE D: Dominance Emerges ├─ SOW - Breakdown ⚠️ KEY EVENT └─ LPSY - Last Point of Supply (rally to exit) PHASE E: Markdown └─ New downtrend, strong selling ``` **Background Color:** Orange → Red (getting darker) **Action:** Sell in Phase C/D, Stay out during Phase E --- ## 💰 VOLUME SPREAD ANALYSIS (VSA) | Signal | Meaning | Color | Implication | |--------|---------|-------|-------------| | **ND** (No Demand) | Up bar, LOW volume | 🟠 Orange | Weakness - uptrend ending | | **NS** (No Supply) | Down bar, LOW volume | 🔵 Blue | Strength - downtrend ending | | **SV** (Stopping Volume) | VERY HIGH volume, narrow spread | 🟣 Purple | Potential reversal | | **UT** (Upthrust) | Above resistance, LOW vol, weak close | 🔴 Red | Sell signal | | **SO** (Shakeout) | Below support, HIGH vol, strong close | 🟢 Green | Buy signal | --- ## 🎯 VOLUME INTERPRETATION | Volume Level | Bar Color | Meaning | |--------------|-----------|---------| | **VERY HIGH** (>2x average) | Dark Green/Red | Climax, potential reversal | | **HIGH** (>1.5x average) | Light Green/Red | Strong interest | | **NORMAL** | Gray | Average trading | | **LOW** (<0.7x average) | Faint Gray | Testing, no interest | --- ## ⚖️ EFFORT vs RESULT | Scenario | Volume | Spread | Meaning | |----------|--------|--------|---------| | **High Effort, Low Result** | HIGH | Narrow | ⚠️ Potential reversal | | **Low Effort, High Result** | LOW | Wide | ⚠️ Trend weakening | | **High Effort, High Result** | HIGH | Wide | ✅ Strong trend | | **Low Effort, Low Result** | LOW | Narrow | 😴 No interest | --- ## 📏 TRADING RULES ### ✅ DO: - ✅ Wait for confirmation before entering - ✅ Trade in direction of higher timeframe - ✅ Use springs and UTAD as primary signals - ✅ Measure trading range for targets - ✅ Place stops outside the range - ✅ Look for volume confirmation - ✅ Check multiple timeframes - ✅ Focus on Phase C and D events ### ❌ DON'T: - ❌ Buy during Phase E Markdown - ❌ Sell during Phase E Markup - ❌ Trade against major trend - ❌ Ignore volume signals - ❌ Enter without clear stop loss - ❌ Trade every signal - ❌ Use on very low timeframes without practice - ❌ Ignore the context --- ## 🎪 COMPOSITE OPERATOR (Smart Money) ### 💰 Green Money Symbol (Bottom) - **Meaning:** Institutions accumulating - **Location:** Demand zones, springs, tests - **Action:** Follow the smart money - buy ### 💰 Red Money Symbol (Top) - **Meaning:** Institutions distributing - **Location:** Supply zones, UTAD, weak rallies - **Action:** Follow the smart money - sell --- ## 📍 SUPPLY & DEMAND ZONES ### 🟢 Demand Zones (Green Boxes) - **Created at:** SC, Spring, Shakeout - **Represents:** Where smart money bought - **Action:** Look for bounces ### 🔴 Supply Zones (Red Boxes) - **Created at:** BC, UTAD, Upthrust - **Represents:** Where smart money sold - **Action:** Look for rejections --- ## 🎯 TARGET CALCULATION ### Measured Move Method ``` 1. Measure trading range height Example: Top at 120, Bottom at 100 = 20 points 2. Add to breakout point (accumulation) Breakout at 120 + 20 = Target: 140 3. Or subtract from breakdown (distribution) Breakdown at 100 - 20 = Target: 80 ``` ### Multiple Targets - **Conservative:** 1x range height (100% probability reached) - **Moderate:** 1.5x range height (70% probability) - **Aggressive:** 2x range height (40% probability) --- ## ⏰ TIMEFRAME GUIDE | Timeframe | Use For | Reliability | Recommended For | |-----------|---------|-------------|-----------------| | **Weekly** | Major trends | ⭐⭐⭐⭐⭐ | Position traders | | **Daily** | Swing trades | ⭐⭐⭐⭐⭐ | Most traders | | **4-Hour** | Active swing | ⭐⭐⭐⭐ | Active traders | | **1-Hour** | Day trading | ⭐⭐⭐ | Experienced only | | **15-Min** | Scalping | ⭐⭐ | Experts only | **Golden Rule:** Always check one timeframe higher for context! --- ## 🚨 ALERT PRIORITY ### 🔔 MUST-HAVE ALERTS 1. Spring 2. UTAD 3. SOS 4. SOW ### 🔔 NICE-TO-HAVE ALERTS 5. Selling Climax (SC) 6. Buying Climax (BC) 7. Smart Money Accumulation 8. Smart Money Distribution ### 🔔 CONFIRMATION ALERTS 9. Phase E Markup 10. Phase E Markdown --- ## 💡 QUICK DECISION TREE ``` Is there a clear trading range? ├─ YES │ ├─ Did price break BELOW support? │ │ ├─ Volume LOW + Quick reversal = SPRING → BUY ✅ │ │ └─ Volume HIGH + Stays down = Breakdown → SELL ⚠️ │ │ │ └─ Did price break ABOVE resistance? │ ├─ Volume LOW + Quick reversal = UTAD → SELL ✅ │ └─ Volume HIGH + Stays up = Breakout → BUY ⚠️ │ └─ NO ├─ Strong uptrend = Wait for re-accumulation └─ Strong downtrend = Wait for re-distribution ``` --- ## 📝 PRE-TRADE CHECKLIST Before entering any trade: - Identified the current Wyckoff phase - Confirmed with volume analysis - Checked higher timeframe trend - Located supply/demand zones - Identified clear entry point - Set stop loss level - Calculated target (risk:reward >1:2) - Verified position size (risk 1-2%) - Have at least 2 confirming signals - Not trading against major trend --- ## 🧠 REMEMBER **The Three Laws:** 1. **Supply & Demand** - Price is determined by imbalance 2. **Cause & Effect** - Range size predicts move size 3. **Effort & Result** - Volume should confirm price movement **The Key Principle:** > "Trade with the Composite Operator (smart money), not against them" **Best Setups:** 1. Spring in accumulation (Phase C) 2. UTAD in distribution (Phase C) 3. SOS breakout (Phase D) 4. SOW breakdown (Phase D) **When in Doubt:** - ❓ Stay out - 📈 Use higher timeframe - 📚 Review the documentation - 🎯 Wait for clearer signal --- ## 📱 INDICATOR SETTINGS QUICK SETUP **For Stocks/Crypto (Good Volume Data):** - Volume MA Length: 20 - High Volume Multiplier: 1.5 - Climax Volume: 2.0 - Swing Length: 5 **For Forex (Limited Volume Data):** - Volume MA Length: 20 - High Volume Multiplier: 1.3 - Climax Volume: 1.8 - Swing Length: 7 - Turn OFF "Volume Confirmation" **For Day Trading:** - Swing Length: 3 - All other settings: Default **For Position Trading:** - Swing Length: 7-10 - Volume MA Length: 30 - Use Daily/Weekly charts --- ## 🎓 SKILL PROGRESSION ### Beginner (Month 1-2) - Focus on: SC, Spring, SOS - Timeframe: Daily only - Goal: Identify phases correctly ### Intermediate (Month 3-6) - Add: All accumulation events - Timeframe: Daily + 4H - Goal: Trade springs profitably ### Advanced (Month 6-12) - Add: Distribution events, VSA - Timeframe: Multiple timeframes - Goal: Trade complete cycles ### Expert (Year 2+) - Master: All events, all timeframes - Combine: With other methodologies - Goal: Consistent profitability --- **Print this sheet and keep it next to your trading desk!** *Remember: Quality over quantity. Wait for the best setups.* # Wyckoff Method - Comprehensive Analysis Indicator ## Complete Implementation Guide for TradingView Pine Script --- ## TABLE OF CONTENTS 1. (#overview) 2. (#installation) 3. (#theory) 4. (#components) 5. (#signals) 6. (#strategies) 7. (#settings) 8. (#alerts) 9. (#patterns) 10. (#troubleshooting) --- ## OVERVIEW This indicator implements Richard Wyckoff's complete trading methodology, including: - **All 5 Phases** of Accumulation and Distribution - **18+ Wyckoff Events** (PS, SC, AR, ST, Spring, SOS, LPS, BC, UTAD, SOW, etc.) - **Volume Spread Analysis (VSA)** principles - **Supply & Demand Zone** detection - **Composite Operator** logic (Smart Money tracking) - **Effort vs Result** analysis - **Three Wyckoff Laws**: Supply/Demand, Cause/Effect, Effort/Result --- ## INSTALLATION ### Step 1: Copy the Code 1. Open the `wyckoff_comprehensive.pine` file 2. Select all code (Ctrl+A / Cmd+A) 3. Copy to clipboard (Ctrl+C / Cmd+C) ### Step 2: Add to TradingView 1. Go to TradingView.com 2. Open any chart 3. Click "Pine Editor" at the bottom of the screen 4. Click "New" or "Open" 5. Paste the entire code 6. Click "Save" and give it a name 7. Click "Add to Chart" ### Step 3: Verify Installation You should see: - Labels on the chart (PS, SC, Spring, SOS, etc.) - Background colors indicating phases - Volume analysis in the lower pane - A table in the top-right corner showing current phase --- ## WYCKOFF METHOD THEORY ### The Three Fundamental Laws #### 1. **Law of Supply and Demand** - Price rises when demand exceeds supply - Price falls when supply exceeds demand - The indicator tracks volume vs price movement to identify imbalances #### 2. **Law of Cause and Effect** - A period of accumulation (cause) leads to markup (effect) - A period of distribution (cause) leads to markdown (effect) - Trading ranges build "cause" for future price movement #### 3. **Law of Effort vs Result** - **Effort** = Volume (energy put into the market) - **Result** = Price movement (spread of the bar) - High effort with low result = potential reversal - Low effort with high result = trend weakness ### The Five Phases #### **ACCUMULATION CYCLE** **Phase A: Stopping the Downtrend** - Preliminary Support (PS): First sign of buying - Selling Climax (SC): Panic selling exhaustion - Automatic Rally (AR): Bounce from SC - Secondary Test (ST): Test of SC low on lower volume **Phase B: Building the Cause** - Trading range develops - Supply being absorbed by composite operator - Multiple tests of support and resistance - Volume generally decreases **Phase C: The Test (Spring)** - False breakdown below support - Traps late sellers - Quick reversal on low volume - Last chance to accumulate before markup **Phase D: Dominance Emerges** - Sign of Strength (SOS): Break above resistance - Last Point of Support (LPS): Pullback opportunity - Backup (BU): Final consolidation - Demand clearly exceeds supply **Phase E: Markup** - New uptrend established - Price moves rapidly higher - Phase E can last months/years - Original trading range becomes support #### **DISTRIBUTION CYCLE** **Phase A: Stopping the Uptrend** - Preliminary Supply (PSY): First sign of selling - Buying Climax (BC): Euphoric buying exhaustion - Automatic Reaction (AR): Sharp selloff from BC - Secondary Test (ST): Test of BC high on lower volume **Phase B: Building the Cause** - Trading range at top - Demand being absorbed by composite operator - Multiple tests of support and resistance **Phase C: The Test (UTAD)** - Upthrust After Distribution - False breakout above resistance - Traps late buyers - Quick reversal **Phase D: Dominance Emerges** - Sign of Weakness (SOW): Break below support - Last Point of Supply (LPSY): Rally opportunity to exit - Supply clearly exceeds demand **Phase E: Markdown** - New downtrend established - Price moves rapidly lower - Original trading range becomes resistance --- ## INDICATOR COMPONENTS ### 1. EVENT LABELS #### Accumulation Events (Green labels) - **PS** = Preliminary Support - **SC** = Selling Climax (largest label, most important) - **AR** = Automatic Rally - **ST** = Secondary Test - **SPRING** = Spring (critical buy signal) - **TEST** = Test of support - **SOS** = Sign of Strength (breakout) - **LPS** = Last Point of Support - **BU** = Backup #### Distribution Events (Red labels) - **PSY** = Preliminary Supply - **BC** = Buying Climax (largest label, most important) - **AR** = Automatic Reaction - **ST** = Secondary Test - **UTAD** = Upthrust After Distribution (critical sell signal) - **SOW** = Sign of Weakness - **LPSY** = Last Point of Supply #### VSA Events (Small colored labels) - **ND** (Orange) = No Demand - weakness - **NS** (Blue) = No Supply - strength - **SV** (Purple) = Stopping Volume - **UT** (Red) = Upthrust - weakness - **SO** (Green) = Shakeout - strength #### Composite Operator (💰 symbols) - Green 💰 at bottom = Smart Money Accumulation - Red 💰 at top = Smart Money Distribution ### 2. BACKGROUND COLORS - **Light Blue** = Phase A (Accumulation) - **Light Orange** = Phase A (Distribution) - **Very Light Green** = Phase C (Accumulation Testing) - **Very Light Red** = Phase C (Distribution Testing) - **Light Green** = Phase D (Accumulation Strength) - **Light Red** = Phase D (Distribution Weakness) - **Green** = Phase E (Markup - Bull trend) - **Red** = Phase E (Markdown - Bear trend) ### 3. SUPPLY & DEMAND ZONES - **Green boxes** = Demand zones (where smart money accumulated) - **Red boxes** = Supply zones (where smart money distributed) - Zones extend 20 bars into the future - Price reactions at these zones are significant ### 4. VOLUME PANEL - **Dark Green/Red bars** = Very High Volume (climax) - **Light Green/Red bars** = High Volume - **Gray bars** = Normal Volume - **Faint Gray bars** = Low Volume - **Blue line** = Volume Moving Average ### 5. INFORMATION TABLE (Top Right) Displays real-time analysis: - **Current Phase** (A, B, C, D, or E) - **Status** (description of what's happening) - **Volume** (Very High, High, Normal, Low) - **Spread** (Wide, Normal, Narrow) - **Effort/Result** (Poor, Normal, Good) - **Range** (YES if in trading range) - **Bias** (BULLISH, BEARISH, or NEUTRAL) --- ## HOW TO READ THE SIGNALS ### STRONG BUY SIGNALS (in order of strength) 1. **SPRING** (strongest) - False breakdown below support - Look for: Low volume, quick reversal, close above support - Entry: When price closes back above support level - Stop: Below the spring low 2. **SOS (Sign of Strength)** - Break above trading range resistance - Look for: High volume, wide spread up bar - Entry: On breakout or pullback to LPS - Stop: Below trading range 3. **Shakeout (SO)** - Similar to spring but more violent - Look for: High volume, penetration of support, strong close - Entry: When price reclaims support - Stop: Below shakeout low 4. **LPS (Last Point of Support)** - Pullback after SOS - Look for: Low volume, shallow pullback - Entry: When support holds - Stop: Below LPS 5. **No Supply (NS)** - Down bar on very low volume - Indicates lack of selling pressure - Confirms accumulation phase ### STRONG SELL SIGNALS (in order of strength) 1. **UTAD (Upthrust After Distribution)** (strongest) - False breakout above resistance - Look for: High volume spike, rejection, close below resistance - Entry: When price closes back below resistance - Stop: Above UTAD high 2. **SOW (Sign of Weakness)** - Break below trading range support - Look for: High volume, wide spread down bar - Entry: On breakdown or rally to LPSY - Stop: Above trading range 3. **Upthrust (UT)** - Move above resistance on low volume, weak close - Look for: Low volume, close in lower half of bar - Entry: When resistance becomes resistance again - Stop: Above upthrust high 4. **LPSY (Last Point of Supply)** - Rally after SOW - Look for: Low volume, weak rally - Entry: When rally fails - Stop: Above LPSY 5. **No Demand (ND)** - Up bar on very low volume - Indicates lack of buying pressure - Confirms distribution phase ### NEUTRAL/WARNING SIGNALS - **High Effort, Low Result** = Potential reversal coming - **Stopping Volume** = Trend may be ending - **Absorption** = Large volume with small movement (accumulation/distribution) --- ## TRADING STRATEGY EXAMPLES ### Strategy 1: Accumulation Range Breakout **Setup:** 1. Identify trading range (blue background in Phase B) 2. Wait for Spring or Test (Phase C) 3. Wait for SOS breakout (Phase D) **Entry:** - Option A: Buy on SOS breakout - Option B: Wait for LPS pullback (better risk/reward) **Stop Loss:** - Below the spring low or trading range bottom **Target:** - Measure height of trading range (cause) - Project upward from breakout point (effect) - Minimum target = range height **Example:** ``` Trading Range: 100 to 120 (20 point range) SOS Breakout at: 120 Target: 120 + 20 = 140 minimum ``` ### Strategy 2: Distribution Range Breakdown **Setup:** 1. Identify trading range after uptrend 2. Wait for UTAD (Phase C) 3. Wait for SOW breakdown (Phase D) **Entry:** - Option A: Sell on SOW breakdown - Option B: Wait for LPSY rally (better risk/reward) **Stop Loss:** - Above the UTAD high or trading range top **Target:** - Measure height of trading range - Project downward from breakdown point - Minimum target = range height ### Strategy 3: Spring Trading **Setup:** 1. Strong downtrend followed by range 2. Price breaks below range bottom 3. Volume is LOW on breakdown 4. Price quickly reverses and closes above support **Entry:** - When candle closes above support level - Or on retest of support **Stop Loss:** - Below spring low (usually tight) **Target:** - Top of trading range - Previous swing high **Risk/Reward:** - Typically 1:3 or better ### Strategy 4: Smart Money Tracking **Setup:** 1. Look for 💰 symbols in demand zones 2. Multiple accumulation signals (PS, SC, ST, Test) 3. Volume decreasing during range **Entry:** - At next demand zone test - On SOS breakout **Confirmation:** - Background turning green (Phase D/E) - Table shows "BULLISH" bias ### Strategy 5: VSA Reversal **Setup:** 1. Strong trend in place 2. Stopping Volume (SV) appears at extreme 3. Followed by No Demand (ND) or No Supply (NS) **Entry:** - When trend breaks down/up - On retest of extreme **Example (Bullish):** ``` Downtrend → Stopping Volume → No Supply → Up bar Entry: Buy when price moves above SV bar ``` --- ## SETTINGS & CUSTOMIZATION ### Volume Analysis Settings **Volume MA Length** (default: 20) - Shorter = More sensitive to volume changes - Longer = Smoother, less noise - Recommended: 15-25 for most timeframes **High Volume Multiplier** (default: 1.5) - Threshold for "high volume" - Lower = More signals - Higher = Only extreme volume - Recommended: 1.3-2.0 **Climax Volume Multiplier** (default: 2.0) - Threshold for climax events (SC, BC) - Should be significantly higher than normal - Recommended: 2.0-3.0 ### Phase Detection Settings **Swing Detection Length** (default: 5) - How many bars to look left/right for swing points - Shorter = More swings detected (more noise) - Longer = Fewer swings (cleaner, might miss some) - Recommended: 3-7 **Range Expansion Threshold** (default: 1.5) - Multiplier for "wide spread" bars - Higher = Only very wide bars qualify - Recommended: 1.3-2.0 **Volume Confirmation** (default: ON) - Requires volume confirmation for events - Turn OFF for very low volume instruments - Keep ON for stocks, forex, crypto ### Display Options Toggle on/off: - ✅ **Show Accumulation/Distribution Phases** - Background colors - ✅ **Show Wyckoff Events** - All labeled events - ✅ **Show Volume Spread Analysis** - VSA labels - ✅ **Show Supply/Demand Zones** - Boxes on chart - ✅ **Show Composite Operator Signals** - 💰 symbols ### Color Customization - **Bullish Color** - All accumulation events - **Bearish Color** - All distribution events - **Neutral Color** - Range/neutral signals --- ## ALERT SETUP ### Available Alerts 1. **Selling Climax (SC)** - Potential bottom forming 2. **Spring** - Strong buy signal 3. **Sign of Strength (SOS)** - Bullish breakout 4. **Buying Climax (BC)** - Potential top forming 5. **UTAD** - Strong sell signal 6. **Sign of Weakness (SOW)** - Bearish breakdown 7. **Phase E Markup** - Uptrend confirmed 8. **Phase E Markdown** - Downtrend confirmed 9. **Smart Money Accumulation** - Institutions buying 10. **Smart Money Distribution** - Institutions selling ### How to Set Up Alerts 1. Click the "⏰" icon on TradingView 2. Select "Create Alert" 3. Condition: Choose the indicator and alert type 4. Example: "Wyckoff Method - Spring" 5. Set notification preferences (popup, email, webhook) 6. Click "Create" ### Recommended Alert Strategy **Conservative Trader:** - Spring - SOS - UTAD - SOW **Aggressive Trader:** - Add: SC, BC, Smart Money signals **Long-term Investor:** - Phase E Markup - Phase E Markdown - Smart Money Accumulation --- ## COMMON PATTERNS ### Pattern 1: Classic Accumulation ``` Phase A: Downtrend → PS → SC → AR → ST Phase B: Range building (4-12 weeks typical) Phase C: Spring (false breakdown) Phase D: SOS → LPS → BU Phase E: Markup (new uptrend) ``` **What to do:** - Mark the range boundaries - Wait for spring - Buy on LPS or SOS - Hold through markup ### Pattern 2: Classic Distribution ``` Phase A: Uptrend → PSY → BC → AR → ST Phase B: Range building (topping process) Phase C: UTAD (false breakout) Phase D: SOW → LPSY Phase E: Markdown (new downtrend) ``` **What to do:** - Mark the range boundaries - Wait for UTAD - Sell on LPSY or SOW - Stay out during markdown ### Pattern 3: Re-Accumulation ``` Uptrend → Trading Range → Spring → Uptrend continues ``` - Occurs during existing uptrend - Shorter accumulation period - Often no clear SC (trend is already up) - Spring is the key signal ### Pattern 4: Re-Distribution ``` Downtrend → Trading Range → UTAD → Downtrend continues ``` - Occurs during existing downtrend - Shorter distribution period - Often no clear BC (trend is already down) - UTAD is the key signal ### Pattern 5: Failed Breakout **Bullish Failed Breakout:** ``` Range → Breakdown → Immediate reversal (Spring) ``` - Price breaks support - Volume is LOW - Immediate strong reversal - Very bullish **Bearish Failed Breakout:** ``` Range → Breakout → Immediate reversal (UTAD) ``` - Price breaks resistance - Volume may be high initially - Quick rejection and reversal - Very bearish --- ## TIMEFRAME RECOMMENDATIONS ### Daily Charts (Most Reliable) - Best for swing trading - Clear phases and events - Less noise - Recommended for beginners ### 4-Hour Charts - Good for active swing traders - Faster signals than daily - Still reliable ### 1-Hour Charts - For day traders - More false signals - Need to filter carefully - Use in conjunction with higher timeframe ### 15-Minute / 5-Minute - Only for experienced traders - High noise level - Many false signals - Use daily chart for context **Golden Rule:** Always check higher timeframe first! --- ## MULTI-TIMEFRAME ANALYSIS ### Top-Down Approach (Recommended) 1. **Weekly Chart** - Identify major trend and phase 2. **Daily Chart** - Find current accumulation/distribution 3. **4H Chart** - Identify entry timing 4. **Entry Timeframe** - Execute trade ### Example Analysis: **Weekly:** Phase E Markup (bullish) **Daily:** Phase B Re-accumulation **4-Hour:** Spring detected **Action:** Buy on daily LPS --- ## WYCKOFF + OTHER INDICATORS ### Complementary Tools 1. **Moving Averages** - 20/50 SMA for trend context - Already plotted on indicator 2. **RSI** - Divergences at SC/BC - Confirms overbought/oversold 3. **MACD** - Confirms trend change in Phase D - Divergences support Wyckoff events 4. **Volume Profile** - Identifies value areas - Confirms supply/demand zones 5. **Order Flow / Footprint Charts** - See institutional activity - Confirms smart money signals **Don't Over-Complicate:** - Wyckoff is a complete system - Other indicators are supplementary - When in doubt, trust Wyckoff --- ## TROUBLESHOOTING ### Issue: Too Many Labels **Solution:** - Increase swing length (Settings → 7 or 10) - Increase volume multipliers - Turn off VSA labels if not needed - Focus on major events only (SC, Spring, SOS, BC, UTAD, SOW) ### Issue: Missing Expected Events **Solution:** - Decrease swing length (Settings → 3) - Decrease volume multipliers - Turn OFF volume confirmation - Check timeframe (use daily chart) ### Issue: False Signals **Solution:** - Use higher timeframe - Wait for confirmation - Don't trade against major trend - Look for multiple signal convergence ### Issue: Can't See Background Colors **Solution:** - Check "Show Phases" is enabled - Increase monitor brightness - Colors are subtle by design (not to obscure price) ### Issue: Volume Shows Incorrectly **Solution:** - Ensure volume data is available for your symbol - Some symbols have poor volume data - Forex spot pairs have no real volume - Use futures or stock markets for best results ### Issue: No Trading Range Detected **Solution:** - Market may be trending strongly - Trading range might be too small - Wait for price to consolidate - Not all markets have clear ranges --- ## ADVANCED TIPS ### 1. Count Point & Figure Charts - Wyckoff used P&F to measure "cause" - Width of range × height = minimum move target - Longer accumulation = larger markup ### 2. Watch for Absorption - High volume + narrow spread = someone absorbing - In downtrend = accumulation - In uptrend = distribution ### 3. Multiple Timeframe Springs - Spring on daily + spring on weekly = very strong - Increases probability significantly ### 4. Failed Signals Are Signals Too - Failed spring = weakness, expect lower - Failed UTAD = strength, expect higher ### 5. Context is King - Don't buy during Phase E Markdown - Don't sell during Phase E Markup - Respect the major trend ### 6. Volume Precedes Price - Study volume changes first - Price follows volume - Decreasing volume in range = building energy ### 7. Composite Operator Mindset - Think like institutions - Where would smart money buy/sell? - They need liquidity (retail traders) --- ## RISK MANAGEMENT ### Position Sizing **Conservative:** - Risk 1% per trade - Wider stops at range boundaries **Moderate:** - Risk 1-2% per trade - Stops below spring/above UTAD **Aggressive:** - Risk 2-3% per trade - Tight stops - Higher win rate needed ### Stop Loss Placement **Accumulation:** - Below spring low - Below trading range bottom - Below demand zone **Distribution:** - Above UTAD high - Above trading range top - Above supply zone ### Take Profit Strategy **Method 1: Measured Move** - Range height = minimum target - 2x range height = extended target **Method 2: Fibonacci Extensions** - 1.0 = range height - 1.618 = extended target - 2.618 = maximum target **Method 3: Trail the Stop** - Move stop to breakeven at 1R - Trail under swing lows in markup - Lock in profits progressively --- ## BACKTESTING CHECKLIST Before trading with real money: - Backtest on 50+ historical examples - Record all signals in trading journal - Calculate win rate (aim for >50%) - Calculate average R:R (aim for >1:2) - Test on multiple instruments - Test on multiple timeframes - Test in different market conditions - Verify signal consistency - Practice on demo account - Start small with real money --- ## RECOMMENDED READING ### Books 1. **"Studies in Tape Reading"** - Richard D. Wyckoff 2. **"The Richard D. Wyckoff Method"** - Rubén Villahermosa 3. **"Charting the Stock Market: The Wyckoff Method"** - Jack Hutson 4. **"Master the Markets"** - Tom Williams (VSA) ### Courses 1. Wyckoff Analytics - Official Wyckoff course 2. TradeVSA - Volume Spread Analysis 3. StockCharts - Wyckoff education ### Communities 1. Wyckoff Analytics Forum 2. Reddit r/Wyckoff 3. TradingView Wyckoff ideas section --- ## FREQUENTLY ASKED QUESTIONS **Q: Can I use this on crypto?** A: Yes, works well on major cryptocurrencies with good volume. **Q: Does it work on forex?** A: Yes, but use futures volume (like 6E for EUR/USD) for better accuracy. **Q: What's the best timeframe?** A: Daily chart for most traders. 4H for more active trading. **Q: How long does accumulation last?** A: Typically 2-12 weeks. Longer accumulation = bigger markup. **Q: Can I automate this?** A: You can use the alerts, but manual analysis is recommended. **Q: What's the win rate?** A: With proper filtering: 60-70% on major signals (Spring, UTAD, SOS, SOW). **Q: Should I trade every signal?** A: No. Focus on Spring, UTAD, SOS, and SOW in trending markets. **Q: What if I see conflicting signals?** A: Use higher timeframe for context. When in doubt, stay out. **Q: How do I know which phase I'm in?** A: Check the table in top-right corner. Also look at background color. **Q: Can I use this for options trading?** A: Yes, excellent for timing option entries (especially around Spring/UTAD). --- ## FINAL THOUGHTS The Wyckoff Method is: - **A complete trading system** (not just an indicator) - **Based on 100+ years** of market wisdom - **Used by institutions** and professional traders - **Requires practice** and screen time - **Highly effective** when applied correctly **Success Tips:** 1. Start with daily charts 2. Focus on major events (SC, Spring, SOS, BC, UTAD, SOW) 3. Always check higher timeframe context 4. Wait for confirmation before entering 5. Manage risk properly 6. Keep a trading journal 7. Be patient - wait for the best setups **Remember:** - Not every range will have all events - Some phases may be abbreviated - Context and confluence matter most - Practice makes perfect --- ## SUPPORT & UPDATES For questions, improvements, or bug reports: - Check TradingView script comments - Join Wyckoff trading communities - Study historical examples - Practice on demo accounts **Good luck and happy trading!** --- *Disclaimer: This indicator is for educational purposes. Always do your own analysis and risk management. Past performance does not guarantee future results.* # WYCKOFF VISUAL SETUP EXAMPLES ## ACCUMULATION SCHEMATIC #1 (Classic Bottom) ``` Price Chart View: │ PHASE E │ MARKUP │ ╱ │ ╱ ┌─SOS─────┤ ╱ │ │ ╱ ┌───────────┤ ┌LPS │╱ │ PHASE B │ │ │ │ (Cause) └──┴──────┤ ┌AR──┤ │ ┌────┤ │ ┌─Spring │ PHASE D │ └ST──┤ │ │ │ │ │ │ ────SC────────┴─────────┴───────────┴────────── │ PS │ PHASE A │ Downtrend ``` ### PHASE A - Stopping the Downtrend ``` PS: │ High volume down bar ▼ First sign of support ■ Not bottom yet SC: │ VERY HIGH volume ▼ Panic selling exhaustion █ Long lower wick █ This is the low AR: │ Automatic rally ▲ Relief bounce ■ High volume acceptable ST: │ Secondary test ▼ Low volume (KEY!) ■ Tests SC low ``` ### PHASE B - Building the Cause ``` ┌─────────┐ │ ~~~ │ Multiple tests │ ~ ~ │ Volume decreases │~ ~ │ Range gets tighter └─────────┘ Duration: 2-12 weeks typical The longer, the bigger the eventual move ``` ### PHASE C - The Test (SPRING) ``` ║ False breakdown ─────╨───── ▼ Low volume █ Breaks below support ■ █ Quick reversal ▲ Closes ABOVE support CRITICAL: Volume must be LOW Close must be strong Happens quickly (1-3 bars) ``` ### PHASE D - Strength Emerges ``` SOS: ▲ Sign of Strength ────╥──── Break above resistance ║ High volume ║ Wide spread LPS: ▼ Last Point Support ■ Pullback on LOW volume ▲ Great entry point BU: ▲ Backup ■ Final consolidation ▲ Before markup ``` ### PHASE E - Markup ``` ╱ ╱ ╱ Strong uptrend ╱ High momentum ╱ Can last months/years ──╱── ``` --- ## DISTRIBUTION SCHEMATIC #2 (Classic Top) ``` Price Chart View: Uptrend │ PSY │ PHASE A ────BC────────┬─────────┬───────────┬────────── │ │ UTAD │ │ PHASE B │ │ PHASE D ┌AR──┤ ┌LPSY │ │ │ │ │ └───────────┤ │ └──┴──────┐ │╲ └ST──┤ │ │ ╲ │ └───────────┤ ╲ └─SOW─────┤ │ ╲ │ │ ╲ │ PHASE C │ ╲ │ │ PHASE E │ │ MARKDOWN ``` ### PHASE A - Stopping the Uptrend ``` PSY: │ High volume up bar ▲ Preliminary supply ■ Selling starting BC: │ VERY HIGH volume ▲ Buying climax █ Euphoric top █ Long upper wick AR: │ Automatic reaction ▼ Sharp selloff ■ High volume ST: │ Secondary test ▲ Low volume (KEY!) ■ Tests BC high ``` ### PHASE C - The Test (UTAD) ``` ▲ False breakout ────╥──── ║ Breaks ABOVE resistance ║ Often high volume spike ▼ █ Rejection / weak close █ Closes BELOW resistance ▼ CRITICAL: Closes weak Quick rejection Traps buyers ``` ### PHASE D - Weakness Emerges ``` SOW: ▼ Sign of Weakness ────╨──── Break below support ║ High volume ║ Wide spread LPSY: ▲ Last Point Supply ■ Rally on LOW volume ▼ Last chance to exit ``` --- ## VOLUME PATTERNS (Critical to Understanding) ### ACCUMULATION Volume Pattern ``` Volume │ SC █ █ ST ■ ■ Spring ■ ■ ■ SOS LPS ──┴────┴────┴──────█───■────► │ │ │ │ │ │ │ │ │ │ A A C D D Pattern: HIGH → low → low → HIGH → low Key: Volume DECREASES during range INCREASES on breakout ``` ### DISTRIBUTION Volume Pattern ``` Volume │ BC █ █ ST ■ ■ UTAD ■ ■ ■ SOW LPSY ──┴────┴────┴──────█───■────► │ │ │ │ │ │ │ │ │ │ A A C D D Pattern: HIGH → low → varies → HIGH → low Key: Volume MAY increase on UTAD Definitely HIGH on breakdown (SOW) ``` --- ## REAL TRADE SETUPS ### Setup #1: SPRING BUY ``` Entry Conditions: 1. Clear trading range identified 2. Price breaks BELOW support 3. Volume is LOW (critical!) 4. Price reverses QUICKLY 5. Closes ABOVE support level Entry: Next bar or on retest Stop: Below spring low Target: Top of range (minimum) Example: Support: $100 Spring low: $98 (low volume) Close: $101 Entry: $102 Stop: $97.50 Target: $120 (range top) Risk/Reward: 1:4 ``` ### Setup #2: UTAD SELL ``` Entry Conditions: 1. Clear trading range identified (after uptrend) 2. Price breaks ABOVE resistance 3. Often high volume spike 4. Price reverses QUICKLY 5. Closes BELOW resistance level Entry: Next bar or on retest Stop: Above UTAD high Target: Bottom of range (minimum) Example: Resistance: $200 UTAD high: $205 (spike) Close: $198 Entry: $197 Stop: $206 Target: $180 (range bottom) Risk/Reward: 1:2 ``` ### Setup #3: SOS BREAKOUT ``` Entry Conditions: 1. Clear accumulation range 2. Spring already occurred (ideal) 3. Price breaks ABOVE resistance 4. HIGH volume on breakout 5. Wide spread up bar Entry Option A: On breakout ($120) Entry Option B: Wait for LPS pullback ($115) Stop: Below range or LPS Target: Range height projected up Example: Range: $100-$120 (20 points) SOS breakout: $120 Entry A: $120 Stop: $115 Target 1: $140 (100%) Target 2: $150 (150%) ``` --- ## VSA SPECIFIC PATTERNS ### Pattern 1: No Demand (Weakness) ``` ▲ ■ Up bar ■ Low volume ◄── KEY ▲ Small body Context: After uptrend Meaning: Buyers exhausted Action: Prepare to sell ``` ### Pattern 2: No Supply (Strength) ``` ▼ ■ Down bar ■ Low volume ◄── KEY ▼ Small body Context: After downtrend Meaning: Sellers exhausted Action: Prepare to buy ``` ### Pattern 3: Stopping Volume ``` ═ Very high volume █ Narrow spread ◄── KEY ═ Price not moving Context: At extremes Meaning: Absorption Action: Expect reversal ``` --- ## COMMON MISTAKES (What NOT to Do) ### ❌ Mistake 1: Buying Prematurely ``` WRONG: SC ▼ █ ← DON'T BUY HERE CORRECT: Spring ─────╨───── ▼ █ ← BUY HERE ▲ ``` ### ❌ Mistake 2: Ignoring Volume ``` WRONG: "It broke below support, must be spring" ─────╨───── High volume █ This is a BREAKDOWN, not a spring! CORRECT Spring: ─────╨───── LOW volume ✓ ■ Quick reversal ✓ ▲ ``` ### ❌ Mistake 3: Trading Against Trend ``` WRONG: Markdown Phase E ╲ ╲ ← Trying to buy here ╲ ╲ CORRECT: Wait for new accumulation to complete ``` --- ## MULTI-TIMEFRAME EXAMPLE ### Weekly Chart: Phase E Markup (Bullish) ``` ╱ ╱ ╱ Long-term uptrend ╱ ───╱───── ``` ### Daily Chart: Re-Accumulation Phase C ``` ┌─────────┐ │ Spring │ ← We are here │ ▼ │ ─────┴────█────┴───── ▲ ``` ### 4-Hour Chart: Entry Timing ``` Last 48 hours: ─────╨───── Spring occurred █ ▲ ← Enter now ■ ``` **Result:** Triple confirmation across timeframes = High probability trade --- ## PROFIT TARGETS (Visual Guide) ### Method 1: Basic Measured Move ``` Resistance: 120 ┐ ───────── │ │ 20 points │ Support: 100 ┘ ───────── Breakout: 120 Target: 120 + 20 = 140 ╱╱╱ 140 (Target) ╱╱╱ ╱╱╱ ──────◄ 120 (Breakout) │ Range │ 20 │ ──────┘ 100 ``` ### Method 2: Multiple Targets ``` ╱╱╱ 150 (Target 3: 2.5x) - 20% position ╱╱╱ ╱╱╱ 140 (Target 2: 2x) - 30% position ╱╱╱ ─────◄╱ 130 (Target 1: 1x) - 50% position │ 10 │ 120 (Breakout) │ ─────┘ 110 (Support) ``` ### Method 3: Trailing Stop ``` 1. Move stop to breakeven at Target 1 2. Trail stop under swing lows 3. Let winners run ╱╱╱ ╱ ╱╱ ← Trail stop here ╱╱ ╱ ╱ ╱ ← Then here ─────◄──╱ ← Start here (breakeven) ``` --- ## TIMING ENTRIES (Exact Bar Patterns) ### Perfect Spring Entry ``` Bar 1: ▼ Breaks below (Low vol) █ Bar 2: ▲ Reverses (Closes strong) █ ◄─ ENTER HERE Bar 3: ■ Confirms ▲ DON'T WAIT for Bar 3! Enter on Bar 2 close ``` ### Perfect UTAD Entry ``` Bar 1: ▲ Breaks above (Spike vol OK) █ Bar 2: ▼ Reverses (Closes weak) █ ◄─ ENTER HERE Bar 3: ■ Confirms ▼ SHORT on Bar 2 close Don't wait for more confirmation ``` --- ## COMPOSITE OPERATOR PSYCHOLOGY ### What Smart Money Does (Follow Them) **Accumulation:** ``` 1. Create fear (PS, SC) 2. Shake out weak hands (Spring) 3. Absorb supply quietly (Phase B) 4. Test for remaining supply (Test) 5. Mark it up (SOS → Phase E) 💰 They buy LOW when retail panics ``` **Distribution:** ``` 1. Create euphoria (PSY, BC) 2. Trap late buyers (UTAD) 3. Distribute to buyers (Phase B) 4. Test for remaining demand (ST) 5. Mark it down (SOW → Phase E) 💰 They sell HIGH when retail buys ``` ### Where to Look for Smart Money ``` 💰 Buy signals appear at: - Demand zones (green boxes) - Springs and shakeouts - Tests of support - After selling climax 💰 Sell signals appear at: - Supply zones (red boxes) - UTAD and upthrusts - Weak rallies (LPSY) - After buying climax ``` --- ## PRACTICE EXERCISES ### Exercise 1: Identify the Phase Look at any chart and ask: 1. Is there a trading range? (Phase B likely) 2. Did we just stop a trend? (Phase A) 3. Was there a spring/UTAD? (Phase C) 4. Is there a breakout? (Phase D) 5. Is trend running? (Phase E) ### Exercise 2: Volume Analysis For each bar, note: - Volume level (High/Normal/Low) - Spread (Wide/Normal/Narrow) - Effort vs Result (Matching? Diverging?) ### Exercise 3: Find Historical Springs Go back 6 months: - Mark all springs you can find - Note the setup before each - Track what happened after - Calculate win rate --- ## FINAL VISUALIZATION: The Complete Cycle ``` ACCUMULATION → MARKUP → DISTRIBUTION → MARKDOWN → ACCUMULATION... Distribution Accumulation (Top) (Bottom) ┌───────────────┐ ┌───────────────┐ │ BC UTAD │ │ Spring SC │ │ │ │ │ │ │ │ │ ────┴───┴───┴───────┴─╲ ╱────────┴───┴───┴──── ╲ ╱ Markdown ╲ ╱ Markup (Phase E) ╲ ╱ (Phase E) ╲ ╱ ╲ ╱ ╲ ╱ ╲ ╱ V The market cycles endlessly Your job: Identify where you are in the cycle Trade accordingly ``` --- **Remember:** - 📊 Study charts daily - 📝 Journal every setup - 🎯 Wait for the best signals - 💰 Follow smart money - ⏰ Be patient - 🚀 Let winners run **The indicator does the heavy lifting - you make the decisions!**
Pine Script® indicator
by frankieho_92
[CASH] Crypto And Stocks Helper (MultiPack w. Alerts)ATTENTION! I'm not a good scripter. I have just learned a little basics for this project, stolen code from other public scripts and modified it, and gotten help from AI LLM's. If you want recognition from stolen code please tell me to give you the credit you deserve. The script is not completely finished yet and contains alot of errors but my friends and family wants access so I made it public. _________________________________________________________________________________ CASH has multiple indicators (a true all-in-one multipack), guides and alerts to help you make better trades/investments. It has: - Bitcoin Bull Market Support Band - Dollar Volume - 5 SMA and 5 EMA - HODL Trend (a.k.a SuperTrend) indicator - RSI, Volume and Divergence indicators w. alerts More to come as well, like Backburner and a POC line from Volume Profile. Everything is fully customizable, appearance and off/on etc. More information and explainations along with my guides you can find in settings under "Input" and "Style".
Pine Script® indicator
by SenorBufoAlvarius
Monthly Color Marker V4 ## 📊 Monthly Color Marker - Historical Month Highlighting ### Overview A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets. ### 🎯 Purpose - **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months - **Quick Historical Analysis** - Visual representation of monthly performance over the years - **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish - **Seasonal Trading Planning** - Build strategies based on cyclical patterns ### ⚙️ Adjustable Parameters 1. **Month to Mark (1-12)** - Select the desired month for analysis - 1 = January, 2 = February... 12 = December - Default: 11 (November) 2. **Years Back (1-50)** - Determines how many years back to scan - Recommended: 10-25 years for statistically reliable data - Default: 25 years 3. **Bullish Candle Color** - Color for marking bullish candles (close > open) - Default: Green - Customizable to your personal color scheme 4. **Bearish Candle Color** - Color for marking bearish candles (close < open) - Default: Red - Customizable to your personal color scheme 5. **Show Current Year** - Whether to include the current month in the marking - Useful when the month hasn't finished yet - Default: Yes ### 📈 How to Use the Indicator #### Step 1: Adding to Chart 1. Switch to **Monthly timeframe** - Required! 2. Add the indicator to your chart 3. Select the month you want to analyze #### Step 2: Initial Analysis - **Count green vs red candles** - What's the ratio? - **Look for patterns** - Are there years where the month always rises/falls? - **Identify outliers** - Years where behavior was different #### Step 3: Making Decisions - **Mostly green** → Statistically, the month tends to rise - **Mostly red** → Statistically, the month tends to fall - **Mixed** → No clear seasonal pattern ### 💡 Usage Examples **Example 1: "Santa Claus Rally"** - Select month 12 (December) - Check if there are mostly green candles - If yes, this confirms the well-known year-end rally effect **Example 2: "September Effect"** - Select month 9 (September) - Historically, September is considered a weak month - Do the data support this for this stock? **Example 3: Quarterly Earnings** - Identify which month earnings are released - Check the historical response - Plan entry/exit accordingly ### 🔍 Combining with Other Indicators This indicator works excellently with: - **Historical Monthly Levels** (the first indicator) - Identify nearby price levels - **Volume Profile** - Check volume during those months - **RSI/MACD** - Identify momentum strength in specific months ### ⚠️ Important Notes 1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes 2. **Statistical Sample** - More years = more reliable analysis 3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis 4. **Adjust Colors** - If hard to see, change colors in settings ### 🎨 Tips for Optimal Experience - **Zoom Out** - See more years at a glance - **Clean Chart** - Remove unnecessary indicators for clear analysis - **Compare Stocks** - Check multiple stocks for the same month - **Document Findings** - Take screenshots and save insights for future reference ### 📊 Recommended Statistics After identifying an interesting month: - Calculate success rate (green / total candles) - Check average volatility - Identify outlier years and investigate what happened - Plan entry/exit strategy ### 🚀 Who Is This Indicator For? ✅ **Swing Traders** - Plan medium-term trades ✅ **Seasonal Investors** - Exploit cyclical patterns ✅ **Technical Analysts** - Understand historical behavior ✅ **Portfolio Managers** - Time entries and exits --- ### 📝 Summary The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market. **Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy. --- **Version:** 4.0 **Compatibility:** Pine Script v5 **Timeframe:** Monthly only **Author:** 954 ## 📊 Monthly Color Marker - סימון חודשים היסטוריים ### תיאור כללי אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס. ### 🎯 מטרת האינדיקטור - **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים - **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים - **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי - **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות ### ⚙️ פרמטרים מתכווננים 1. **חודש לסימון (1-12)** - בחירת החודש הרצוי לניתוח - 1 = ינואר, 2 = פברואר... 12 = דצמבר - ברירת מחדל: 11 (נובמבר) 2. **שנים אחורה (1-50)** - קובע כמה שנים אחורה לסרוק - מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה - ברירת מחדל: 25 שנים 3. **צבע נר עולה** - צבע לסימון נרות שורים (close > open) - ברירת מחדל: ירוק - ניתן להתאים לסכמת הצבעים האישית 4. **צבע נר יורד** - צבע לסימון נרות דוביים (close < open) - ברירת מחדל: אדום - ניתן להתאים לסכמת הצבעים האישית 5. **צבע את השנה הנוכחית** - האם לכלול את החודש הנוכחי בסימון - שימושי כאשר החודש טרם הסתיים - ברירת מחדל: כן ### 📈 איך להשתמש באינדיקטור #### שלב 1: הוספה לגרף 1. עבור לטיימפריים **חודשי (Monthly)** - חובה! 2. הוסף את האינדיקטור לגרף 3. בחר את החודש שאתה רוצה לנתח #### שלב 2: ניתוח ראשוני - **ספור נרות ירוקים מול אדומים** - מה היחס? - **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד? - **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה #### שלב 3: קבלת החלטות - **רוב ירוקים** → סטטיסטית החודש נוטה לעלות - **רוב אדומים** → סטטיסטית החודש נוטה לרדת - **מעורב** → אין דפוס עונתי ברור ### 💡 דוגמאות שימוש **דוגמה 1: "Santa Claus Rally"** - בחר חודש 12 (דצמבר) - בדוק אם יש רוב נרות ירוקים - אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה **דוגמה 2: "September Effect"** - בחר חודש 9 (ספטמבר) - היסטורית, ספטמבר נחשב לחודש חלש - האם הנתונים תומכים בכך במניה זו? **דוגמה 3: דיווחים רבעוניים** - זהה בחודש אילו נפרסמים דיווחים - בדוק את התגובה ההיסטורית - תכנן כניסה/יציאה בהתאם ### 🔍 שילוב עם אינדיקטורים אחרים האינדיקטור עובד מצוין בשילוב עם: - **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות - **Volume Profile** - בדיקת ווליום באותם חודשים - **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים ### ⚠️ הערות חשובות 1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים 2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר 3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף 4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות ### 🎨 טיפים לחוויית שימוש מיטבית - **זום אאוט** - ראה יותר שנים במבט אחד - **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור - **השווה מניות** - בדוק מספר מניות לאותו חודש - **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד ### 📊 סטטיסטיקה מומלצת לאחר שזיהית חודש מעניין: - חשב אחוז הצלחה (ירוקים / כל הנרות) - בדוק תנודתיות ממוצעת - זהה שנים חריגות ובדוק מה קרה אז - תכנן אסטרטגיית כניסה/יציאה ### 🚀 למי מתאים האינדיקטור? ✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני ✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים ✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית ✅ **מנהלי תיקים** - תזמון כניסות ויציאות --- ### 📝 סיכום אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק. **המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים. --- **גרסה:** 4.0 **תאימות:** Pine Script v5 **טיימפריים:** חודשי בלבד **מחבר:** [954 ---
Pine Script® indicator
by shmuel954
Pivot Orderflow DeltaThis indicator analyzes order flow by calculating a continuous Cumulative Volume Profile Delta (CVPD). It plots this delta as a series of "delta candles" and identifies divergences and structural pivot levels. Key Features: Statistical Delta Engine: For each bar, the indicator builds a high-resolution volume profile on a lower 'Intra-Bar Timeframe'. It uses statistical models ('PDF' allocation) and advanced classifiers ('Dynamic' split) to determine the buy/sell pressure, which is then accumulated. Cumulative Delta Candle Visualization: The indicator plots the continuous, accumulated delta as a series of candles, where for each bar: Open: Is the cumulative delta value of the previous bar. Close: Is the new total cumulative delta. High/Low: Represent the peak/trough cumulative delta reached during that bar's formation. Dynamic Pivot Baseline: The indicator plots a separate dynamic baseline ('Impulse Start') that adjusts when a new price pivot is confirmed. When a price high forms, the baseline moves to the lower of its previous level or the peak delta (max of delta candle O/C) at the pivot. When a price low forms, the baseline moves to the higher of its previous level or the trough delta (min of delta candle O/C) at the pivot. Full Divergence Suite (Class A, B, C): A built-in divergence engine automatically detects and plots Regular (A), Hidden (B), and Exaggerated (C) divergences between price and the peak/trough of the delta candles (High/Low). Detailed Pivot Confluence: The indicator plots distinct markers to differentiate between pivots occurring only on the price chart, only on the delta oscillator, or on both simultaneously. Note on Confirmation (Lag): Divergence and pivot signals rely on a confirmation method. A pivot is only plotted after the Pivot Right Bars input has passed, which introduces an inherent lag. Integrated Alerts: Includes 23 comprehensive alerts for: The start and end of all 6 divergence types. The detection of a new Impulse Start pivot. Delta/volume agreement/disagreement. Delta crossing the zero line. The formation of price-only or delta-only pivots. Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed. DISCLAIMER For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® indicator
by AustrianTradingMachine
ProScalper📊 ProScalper - Professional 1-Minute Scalping System 🎯 Overview ProScalper is a sophisticated, multi-confluence scalping indicator designed specifically for 1-minute chart trading. Combining advanced technical analysis with intelligent signal filtering, it provides high-probability trade setups with clear entry, stop loss, and take profit levels. ✨ Key Features 🔺 Smart Signal Detection Range Filter Technology: Fast-responding trend detection (25-period) optimized for 1-minute timeframe Medium-sized triangles appear above/below candles for clear buy/sell signals Only most recent signal shown - no chart clutter Automatically deletes old signals when new ones appear 📋 Real-Time Signal Table Top-center display shows complete trade breakdown Grade system: A+, A, B+, B, C+ ratings for every setup All confluence reasons listed with checkmarks Score and R:R displayed for instant trade quality assessment Color-coded: Green for LONG, Red for SHORT 📐 Multi-Confluence Analysis ProScalper combines 10+ technical factors: ✅ EMA Trend: 4 EMAs (200, 48, 13, 8) for multi-timeframe alignment ✅ VWAP: Dynamic support/resistance ✅ Fibonacci Retracement: Golden ratio (61.8%), 50%, 38.2%, 78.6% ✅ Range Filter: Adaptive trend confirmation ✅ Pivot Points: Smart reversal detection ✅ Volume Analysis: Spike detection and volume profile ✅ Higher Timeframe: 5-minute trend confirmation ✅ HTF Support/Resistance: Key levels from higher timeframes ✅ Liquidity Sweeps: Smart money detection ✅ Opening Range Breakout: First 15-minute range 💰 Complete Trade Management Entry Lines: Dashed green (LONG) or red (SHORT) showing exact entry Stop Loss: Red dashed line with price label Take Profit: Blue dashed line with price label and R:R Partial Exits: 1R level marked with orange dashed line All lines extend 10 bars for clean alignment with Fibonacci levels 📊 Dynamic Risk/Reward Adaptive R:R calculation based on market volatility Targets adjusted for pivot distances Minimum 1.2:1 to maximum 3.5:1 for scalping Position sizing based on account risk percentage 🎨 Professional Visualization Clean chart layout - no clutter, only essential information Custom EMA colors: Red (200), Aqua (48), Green (13), White (8) Gold VWAP line for key support/resistance Color-coded Fibonacci: Bright yellow (61.8%), white (50%), orange (38.2%), fuchsia (78.6%) No shaded zones - pure price action focus 📈 Performance Tracking Real-time statistics table (optional) Win rate, total trades, P&L tracking Average R:R and win/loss ratios Setup-specific performance metrics ⚙️ Settings & Customization Risk Management Adjustable account risk per trade (default: 0.5%) ATR-based stop loss multiplier (default: 0.8 for tight scalping) Dynamic position sizing Signal Sensitivity Confluence Score Threshold: 40-100 (default: 55 for balanced signals) Range Filter Period: 25 bars (fast signals for 1-min) Range Filter Multiplier: 2.2 (tighter bands for more signals) Visual Controls Toggle signal table on/off Show/hide Fibonacci levels Control EMA visibility Adjust table text size Partial Exits 1R: 50% (default) 2R: 30% (default) 3R: 20% (default) Fully customizable percentages Trailing Stops ATR-Based (best for scalping) Pivot-Based EMA-Based Breakeven trigger at 0.8R 🎯 Best Use Cases Ideal For: ✅ 1-minute scalping on liquid instruments ✅ Day traders looking for quick 2-8 minute trades ✅ High-frequency trading with 8-15 signals per session ✅ Trending markets where Range Filter excels ✅ Crypto, Forex, Futures - works on all liquid assets Trading Style: Timeframe: 1-minute (can work on 3-5 min with adjusted settings) Hold Time: 3-8 minutes average Target: 1.2-3R per trade Frequency: 8-15 signals per day Win Rate: 45-55% (with proper risk management) 📋 How to Use Step 1: Wait for Signal Watch for green triangle (BUY) or red triangle (SELL) Signal table appears at top center automatically Step 2: Review Confluence Check grade (prefer A+, A, B+ for best quality) Review all reasons listed in table Confirm score is above your threshold (55+ recommended) Note the R:R ratio Step 3: Enter Trade Enter at current market price Set stop loss at red dashed line Set take profit at blue dashed line Mark 1R level (orange line) for partial exit Step 4: Manage Trade Exit 50% at 1R (orange line) Move to breakeven after 0.8R Trail remaining position using your chosen method Exit fully at TP or opposite signal 🎨 Chart Setup Recommendations Optimal Display: Timeframe: 1-minute Chart Type: Candles or Heikin Ashi Background: Dark theme for best color visibility Volume: Enable volume bars below chart Complementary Indicators (optional): Order flow/Delta for institutional confirmation Market profile for key levels Economic calendar for news avoidance ⚠️ Important Notes Risk Disclaimer: Not financial advice - for educational purposes only Always use proper risk management (0.5-1% per trade max) Past performance doesn't guarantee future results Test on demo account before live trading Best Practices: ✅ Trade during high liquidity hours (9:30-11 AM, 2-4 PM EST) ✅ Avoid news events and market open/close (first/last 2 minutes) ✅ Use tight stops (0.8-1.0 ATR) for 1-minute scalping ✅ Take partial profits quickly (1R = 50% off) ✅ Respect max daily loss limits (3% recommended) ✅ Focus on A and B grade setups for consistency What Makes This Different: 🎯 Complete system - not just signals, but full trade management 📊 Multi-confluence - 10+ factors analyzed per trade 🎨 Professional visualization - clean, focused chart design ⚡ Optimized for 1-min - settings specifically tuned for fast scalping 📋 Transparent reasoning - see exactly why each trade was taken 🏆 Grade system - instantly know trade quality 🔧 Technical Details Pine Script Version: 5 Overlay: Yes (plots on price chart) Max Lines: 500 Max Labels: 100 Non-repainting: All signals confirmed on bar close Alerts: Compatible with TradingView alerts 📞 Support & Updates This indicator is actively maintained and optimized for 1-minute scalping. Settings can be adjusted for different timeframes and trading styles, but default configuration is specifically tuned for high-frequency 1-minute scalping. 🚀 Get Started Add ProScalper to your 1-minute chart Adjust settings to your risk tolerance Wait for signals (green/red triangles) Follow the signal table guidance Manage trades using provided levels Track performance with stats table Happy Scalping! 📊⚡💰
Pine Script® indicator
by day_trade_mind
Manual VAH/VAL LevelsManual VAH/VAL Levels is a utility indicator that lets traders manually display the Value Area High (VAH) and Value Area Low (VAL) from the prior trading day, based on a Fixed Range Volume Profile tool. This script is designed to: Draw horizontal lines at the manually input VAH and VAL levels Label each line with the corresponding price, aligned clearly to the right of the chart Display levels only during the regular trading session for focused market context Maintain a clean chart appearance with transparent label backgrounds 💡 How to Use: Apply TradingView's Fixed Range Volume Profile tool to the prior day's session Manually enter the VAH and VAL values into the script settings The script will draw and label these levels dynamically during the NY market session This tool is ideal for: Traders using volume-based key levels for intraday decision-making Contextualizing price action near areas of prior day value Confluence analysis when paired with opening range, CVD, or breakout systems
Pine Script® indicator
by immediatePerso44773
Setup Score OscillatorSetup Score Oscillator – Full Description 🎯 Purpose of the Script This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals. Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD). 🔧 How it works in practice 1. Manual signal inputs The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals: ✅ Confirmed Support/Resistance ✅ Aligned Volume Profile ✅ Favorable Cyclic Timing ✅ Valid Trend Line ✅ Aligned Cyclical Moving Averages ✅ Relevant Fibonacci Level ✅ Classic Volume Signal (spike, dry-up, etc.) ✅ Oscillator confirmation (e.g., divergences) ✅ Extreme Sentiment ✅ Relevant or incoming News Each selected signal contributes to the total score based on its weight. 2. Scoring system Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.). Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings. 3. Score visualization The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring: Range Color Meaning 0–39% Red No valid setup 40–54% Yellow Watchlist only 55–69% Orange Good setup 70–100% Green Strong setup Several horizontal threshold lines are displayed: 50% → neutral threshold 40%, 55%, 70% → operational levels 4. Optional background coloring When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive). 📌 Practical benefits Objectifies subjective analysis: each decision becomes a number. Prevents overtrading: no entries if the score is too low. Adaptable to any trading style: swing, intraday, positional. User-friendly: no coding needed – just tick boxes. Italiano: Setup Score Oscillator – Descrizione completa 🎯 Obiettivo dello script Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali. Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.). 🔧 Come funziona operativamente 1. Input manuale dei segnali Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali: ✅ Supporto/Resistenza confermata ✅ Volume Profile allineato ✅ Cicli o timing favorevole ✅ Trend line valida ✅ Medie mobili cicliche allineate ✅ Livello di Fibonacci rilevante ✅ Volume classico significativo (spike, dry-up) ✅ Conferme da oscillatori (es. divergenze) ✅ Sentiment estremo (es. euforia o panico) ✅ News importanti imminenti o appena uscite Ogni casella attiva contribuisce al punteggio totale, con un peso specifico. 2. Sistema di punteggio Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.). Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input. 3. Visualizzazione del punteggio Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici: Range Colore Significato 0–39% Rosso Nessun setup valido 40–54% Giallo Osservazione 55–69% Arancione Setup buono 70–1005 Verde Setup forte Sono tracciate anche delle linee guida orizzontali a: 50% → soglia neutra 40%, 55%, 70% → soglie operative 4. Colorazione dello sfondo (facoltativa) Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo). 📌 Vantaggi pratici Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero. Evita overtrading: se il punteggio è troppo basso, non si entra. Adattabile a ogni stile: swing, intraday, position. Facile da usare anche senza codice: basta spuntare le caselle.
Pine Script® indicator
by JoMerende
2
Ultimate Multi Indicator - by SachaThe Ultimate Multi Indicator: The Ultimate Guide To Profit This custom indicator, the Ultimate Multi Indicator , integrates multiple trading indicators to have powerful buy and sell signals. I combined MACD, EMA, RSI, Bollinger Bands, Volume Profile, and Ichimoku Cloud indicators to help traders analyze both short-term and long-term price movements. Key Components and How to Use Them - MACD (Moving Average Convergence Divergence): - Use for trend direction and potentiality of reversals. - The blue line (MACD Line) crossing above the orange line (Signal Line) indicates a bullish reversal; the opposite signals a bearish reversal. - Watch for crossovers to confirm the direction of smaller price movements. - 200 EMA (Long) (Exponential Moving Average): - Use to indicate a long-term trend direction. - If the price is above the 200 EMA, the market is in an uptrend; below it suggests a downtrend. - The chart’s background color shifts subtly green (uptrend) or red (downtrend) depending on the EMA's relative position. - RSI (Relative Strength Index): - Tracks momentum and overbought/oversold levels. - RSI over 70 signifies overbought conditions; under 30 indicates oversold. - Look for RSI turning points around these levels to identify potential reversals. - Bollinger Bands : - The price touching or crossing the upper Bollinger Band may mean overbought conditions are filled, while a touch at the lower band indicates oversold. - Bollinger Band interactions often align with key reversal points, especially when combined with other signals. - Volume Profile : - A yellow VP line on the chart represents significant trading volume occurred. - This line can be used as both a support and resistance level, and especially during consolidations or trend changes. - Ichimoku Cloud : - Identifies support/resistance levels and trend direction. - Green and red cloud regions visually show if the price is above (bullish) or below (bearish) key levels. - Price above the cloud (green) confirms a bullish market, while below (red) signals bearish. Signal Conditions and Visualization - Buy Signals : - This is triggered right away when MACD crosses up, RSI is oversold, or price touches the lower Bollinger Band, provided price is above both the Ichimoku Cloud and the 200 EMA. - A green “BUY” label appears below the bar, suggesting a potential entry. - Sell Signals : - This signal is generated when MACD crosses down, RSI is overbought, or price touches the upper Bollinger Band, and price is below the Ichimoku Cloud and the 200 EMA. - A red “SELL” label is shown above the bar, indicating a potential exit. Tips & Tricks - Confirm Signals : Use multiple signals to confirm entries and exits. For example, if both the MACD and RSI align with the Ichimoku Cloud direction, the trade setup is stronger. - Trend Directions : Only take buy signals if the price is above the 200 EMA, and sell signals if it is below, aligning trades with the overall trend. - Adjust for Volatility : In high-volatility markets, especially in the crypto markets, pay close attention to the Bollinger Bands for breakout potential. - Ichimoku as a Trend Guide : Use the Ichimoku Cloud as a guide for long-term support and resistance levels, especially for swing trades. This multi-layered indicator gives a balanced blend of short-term signals and long-term trend insights, making it a versatile tool for day trading, swing trading, or even longer-term analysis. Remember that indicators that will make you rich instantly don't exist. To expect minimum profit from them, you shouldn't trade all you have at the same time but only trade with the money you can afford to lose. After that being said, I wish you traders luck with the Ultimate Multi Indicator!
Pine Script® indicator
by SachaAlgos
1
VWAP RangeThe VWAP Range indicator is a highly versatile and innovative tool designed with trading signals for trading the supply and demand within consolidation ranges. What's a VWAP? A VWAP (Volume Weighted Average Price) represents an equilibrium point in the market, balancing supply and demand over a specified period. Unlike simple moving averages, VWAP gives more weight to periods with higher volume. This is crucial because large volumes indicate significant trading activity, often by institutional traders, whose actions can reflect deeper market insights or create substantial market movements. The VWAP is also often used as a benchmark to evaluate the efficiency of executed trades. If a trader buys below the VWAP and sells above it, they are generally considered to have transacted favourably. This is how it works: Multiple VWAP Anchors: This indicator uses multiple VWAPs anchored to different optional time periods, such as Daily, Weekly, Monthly, as well as to the highest high a lowest low within those periods. This multiplicity allows for a comprehensive view of the market’s average price based on volume and price, tailored to different trading styles and strategies. Dynamic and Fixed Periods: Traders can choose between using dynamic ranges, which reset at the start of each selected period, and specifying a date and time for a particular fixed range to trade. This flexibility is crucial for analyzing price movements within specific ranges or market phases. Fixed ranges allow VWAPs to be calculated and anchored to a significant market event, the beginning of a consolidation phase or after a major news announcement. Signal Generation: The indicator generates buy and sell signals based on the relationship of the price to the VWAPs. It also allows for setting a maximum number of signals in one direction to avoid overtrading or pyramiding. Be sure to wait for the candle close before trading on the signals. Average Buy/Sell Signal Lines: Lines can be plotted to display the average buy and sell signal prices. The difference between the lines shows the average profit per trade when trading on the signals in that range. It's a good way to see how profitable a range is on average without backtesting the signals. The lines will also often turn into support and resistance areas, similar to value areas in a volume profile. Customizable Settings: Traders have control over various settings, such as the VWAP calculation method and bar color. There are also tooltips for every function. Hidden Feature: There's a subtle feature in this indicator: if you have 'Indicator values' turned on in TradingView, you'll see a Sell/Buy Ratio displayed only in the status line. This ratio indicates whether there are more sell signals than buy signals in a range, regardless of the Max Signals setting. A red value above 1 suggests that the market is trending upward, indicating you might want to hold your long positions a bit longer. Conversely, a green value below 1 implies a downward trend.
Pine Script® indicator
by AlgoRhythmica
10
PhantomFlow AccumulationDetectorThe PhantomFlow AccumulationDetector indicator analyzes the volume profile and displays potential accumulation based on the selected timeframe in the settings. This indicator can be used both as zones for trend following and for identifying reversals, as shown in the examples on the chart. The logic behind the formation of the accumulation zone is based on the fact that the POC (Point of Control) of the current zone is within the Volume Area range of the previous period. Optimal settings for the working timeframe should be chosen visually, and the size of the zones should not be too large or too small. Additionally, it's advisable not to consider overly wide zones during increased volatility. Consecutive zones within the same range often indicate a potential reversal. We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
Pine Script® indicator
by PhantomFlow
5
Halfback + One-Time-Framing BarsThis indicator is designed to be used with Market Profile / Volume Profile trading techniques on a 30min chart. The halfback of a candle is the mid point between the high and the low of the candle. A halfback trade can be taken once price retraces into this point as support/resistance using the prevailing trend as your trade direction. One-Time-Framing is a fancy term for trending in one direction. One-Time-Framing happens when a candle breaks the previous candle's high without testing the low or when a candle breaks the low of the previous candle without testing the high. This indicates that the trend is one directional and opposing pressure is very weak. Taking trades in the opposing direction of multiple OTF bars is typically a bad trade setup. Halfback and OTF setups are typically used on a 30min timeframe combined with Market or Volume Profile, but you can experiment with these setups on any timeframe if you wish. I hope you all enjoy this indicator, comment below if you have any questions.
Pine Script® indicator
by OasisTrading
3
Koalafied Volume Extension BubblesCircles based on extensions from volume Z-Score. Large volume candles can often signal exhaustion or show market strength in reversals or breakouts. Circles can be offset back to the start of the day/profile or left at the time where they occur. Colours denoting deviations from the mean are +2 std dev - Green +1 std dev - Blue -1 std dev - Red -2 std dev - Purple Concept is primarily as a pseudo volume profile delta tool. Obviously it's a very basic heuristic so would recommend further reading and use of actually footprint data to base trading decisions on.
Pine Script® indicator
by Koalafied_3
5
Swing Assassin's Consolidated ScriptI put this script together to essentially consolidate a number of scripts that I use on a daily basis into one script. This is an ongoing improvement effort, so there may be some garbage in here right now so keep that in mind if you intend to use this to help in your trading. There are 5 moving averages (Hull). I use the Fast, Mid and Slow to find entries after I us the Medium Slow and Super Slow to identify a trend. Otherwise, I have those three turned off. This script also uses Bollinger Bands which I literally cannot trade without. The script also has anchored VWAP , automated support/resistance lines, and a homebrewed Volume Profile that is a copy from Ildar Akhmetgaleev's indicator "Poor Man's Volume Profile" used under Mozilla Public License Version 2.0.
Pine Script® indicator
by UnknownUnicorn16914442
3
Delta Volume Columns [LucF]Displays delta volume columns using intrabar volume information. Each volume column is divided into three sections: buying, selling and neutral volume. Volume for each section is determined from the volume and price movement of each intrabar at a user-selected lower resolution. Features include: - Choice of color themes for either dark or light chart backgrounds - Delta volume columns - Volume Balance displayed as the difference between the MAs of buying and selling volume - Display of divergences between a bar’s volume balance and the bar’s price movement (example: buying volume > selling volume but close < open). Divergences can be shown in 2 different color schemes (including green/red showing a tentative direction), on volume columns and/or on chart bars - Display of bar by bar volume balance with highlighting of above average volume - Display of the usual total volume MA - Choice of the lower resolution used to retrieve intrabar information - Alerts configurable on any combination of the markers, with control over long/short direction - Choice of 3 different markers: 1. Double bumps: two consecutive bars where buying or selling volume is in the same direction and where volume > volume MA 2. Divergence confirmations: direction of the price bar following a price/volume balance divergence 3. Volume balance shifts: zero level crossings of the volume balance MA delta The chart shows the two main modes of display: - Top pane : shows the stacked volume columns with divergences in orange and the flattened volume balance MAs delta at the bottom of the volume columns. This volume balance is the same shown in the bottom pane. The top pane also shows the instant volume balance strip above the volume columns. The strip’s colors show which of the buying or selling volume was greater, and colors are brighter if the total volume was above the total volume MA. - Bottom pane : shows the volume balance MAs delta with markers 1 and 2. Given that this graphic has no price momentum component, I find quite eerie how it often looks like a momentum-based signal. The default 5 minute intrabar resolution is used in combination with the weekly chart, which is excessive. This script uses a special characteristic of the security() function’s behavior when it is sent to a resolution lower than the chart’s resolution. Details are given in the script’s comments. This method has the advantage of working under more circumstances than some of the other loop-based methods, but it also has its limits. IMPORTANT This is what you need to know: - The method used does not work on the realtime bar—only on historical bars. Consequently, the volume column shown on the realtime bar is a normal volume column plotted in green or red, following price movement. The column will only show delta volume information after it closes and becomes a historical bar. - The indicator only works on some chart resolutions: 5, 10, 15 and 30 minutes, 1, 2, 4, 6, and 12 hours, 1 day, 1 week and 1 month. The script’s code can be modified to run on other resolutions, but chart resolutions must be divisible by the lower resolution used for intrabars. - Intrabar resolutions can be selected from 1, 5, 15, 30, 45 minutes, 1, 2, 3, 4 hours, 1 day, 1 week and 1 month. The intrabar resolution must of course be smaller than the chart’s resolution. - Contrary to my other indicators where alerts must be configured to trigger “Once Per Bar Close” in order to avoid false triggers (or repainting), all this indicator’s alerts are designed to trigger using previous bar information since the indicator’s calculations in the realtime bar are not exact. Markers are not plotted with a negative offset; they appear at the beginning of the realtime bar following confirmation of the marker’s condition on the previous bar. Alerts for this indicator should thus be configured to trigger “Once Per Bar” so they trigger at the beginning of the realtime bar. Note that the penalty is not that great, as it is simply the instant between the close of the previous realtime bar and the opening of the next. The advantage of using this technique is that the indicator does not repaint; a marker that appears at the beginning of the realtime bar will never disappear. - The script only plots information that is reliable in the realtime bar, i.e., total volume and markers. All other plots are set to n/a to prevent misleading traders. - When the difference between the chart’s resolution and the lower resolution is too important, volume columns will not calculate for all bars in the dataset. On Delta Volume Buying or selling volume are misnomers, as every unit of volume transacted is both bought and sold by 2 different traders. There is no such thing as “buy only” or “sell only” volume, but trader lingo is riddled with original fabulations. Without access to order book information, traders work with the assumption that when price moves up during a bar, there was more buying pressure than selling pressure. The built-in volume indicator available on TradingView uses this logic to color the volume columns green or red. While this script’s numbers are more precise because it analyses a number of intrabars to calculate its information, it uses the exact same imperfect logic to calculate its buying/selling/neutral sections. Until Pine scripts can have access to how much volume was transacted at the bid/ask prices, our so-called buying/selling volume information will always be a mere proxy. Divergences You may wonder how there can be divergences between buying/selling volume information and price movement. This will sometimes be due to the methodology’s shortcomings we have just discussed, but divergences may also occur in instances where because of order book structure, it takes less volume to increase the price of an asset than it takes to decrease it. As usual, divergences are points of interest because they reveal imbalances, which may or may not become turning points. I do not share the overwhelming enthusiasm traders have for divergences. To your pattern-hungry brain, the orange bars this indicator shows on chart will—as divergences on other indicators do–appear to often indicate turnarounds. My opinion is that reality is generally quite sobering, as many who have tried building automated rules based on divergences will tell you. I do not have hard numbers on the lack of performance of divergences—only many failed attempts to make them perform, which a few experienced strategy modelers I know share with me. Please don’t try to read too much into them. While they look great on past data, I find they are often difficult to use in realtime to make bets with good odds. Thanks to: - A guy called Kuan who commented on a Backtest Rookies presentation of an intrabar delta volume indicator using a for loop. The heart of “my” indicator is code borrowed from Kuan; I just built a hopefully useful wrapper around it. - @theheirophant, my partner in the exploration of the sometimes weird abysses of security() ’s behavior at lower resolutions.
Pine Script® indicator
by LucF
69
WickPressureLibWickPressureLib: The Regime Dynamics Engine DESCRIPTION: WickPressureLib/b] is not a standard candlestick pattern library. It is an advanced analytical engine designed to deconstruct the internal dynamics of price action. It provides a definitive toolkit for analyzing candle microstructure and quantifying order flow pressure through statistical modeling. █ CHAPTER 1: THE PHILOSOPHY — BEYOND PATTERNS, INTO DYNAMICS A candlestick wick represents a specific market event: a rejection of price. Traditional analysis often labels these simply as "bullish" or "bearish." This library aims to go deeper by treating each candle as a dataset of opposing forces. The WickPressureLib translates static price action into dynamic metrics. It deconstructs the candle into core components and subjects them to multi-layered analysis. It calculates Kinetic Force , estimates institutional Delta , tracks the Siege Decay of key levels, and uses Thompson Sampling (a Bayesian probability algorithm) to assess the statistical weight of each formation. This library does not just identify patterns; it quantifies the forces that create them. It is designed for developers who need quantitative, data-driven metrics rather than subjective interpretation. █ CHAPTER 2: THE ANALYTICAL PIPELINE — SIX LAYERS OF LOGIC The engine's capabilities come from a six-stage processing pipeline. Each layer builds upon the last to create a comprehensive data object. LAYER 1 — DELTA ESTIMATION: Uses a proprietary model to approximate order flow (Delta) within a single candle based on the relationship between wicks, body, and total range. LAYER 2 — SIEGE ANALYSIS: A concept for measuring structural integrity. Every time a price level is tested by a wick, its "Siege Decay" score is updated. Repeated tests without a breakout result in a decayed score, indicating weakening support/resistance. LAYER 3 — MAGNETISM ENGINE: Calculates the probability of a wick being "filled" (mean reversion) based on trend strength and volume profile. Distinguishes between rejection wicks and exhaustion wicks. LAYER 4 — REGIME DETECTION: Context-aware analysis using statistical tools— Shannon Entropy (disorder), DFA (trend vs. mean-reversion), and Hurst Exponent (persistence)—to classify the market state (e.g., "Bull Trend," "Bear Range," "Choppy"). LAYER 5 — ADAPTIVE LEARNING (THOMPSON SAMPLING): Uses a Bayesian Multi-Armed Bandit algorithm to track performance. It maintains a set of "Agents," each tracking a different wick pattern type. Based on historical outcomes, the system updates the probability score for each pattern in real-time. LAYER 6 — CONTEXTUAL ROUTING: The final layer of logic. The engine analyzes the wick, determines its pattern type, and routes it to the appropriate Agent for probability assessment, weighted by the current market regime. █ CHAPTER 3: CORE FUNCTIONS analyze_wick() — The Master Analyzer The primary function. Accepts a bar index and returns a WickAnalysis object containing over 15 distinct metrics: • Anomaly Score: Z-Score indicating how statistically rare the wick's size is. • Kinetic Force: Metric combining range and relative volume to quantify impact. • Estimated Delta: Approximation of net buying/selling pressure. • Siege Decay: Structural integrity of the tested level. • Magnet Score: Probability of the wick being filled. • Win Probability: Adaptive success rate based on the Thompson Sampling engine. scan_clusters() — Liquidity Zone Detection Scans recent price history to identify "Pressure Clusters"—zones where multiple high-pressure wicks have overlapped. Useful for finding high-probability supply and demand zones. detect_regime() — Context Engine Uses statistical methods to determine the market's current personality (Trending, Ranging, or Volatile). This output allows the analysis to adapt dynamically to changing conditions. █ CHAPTER 4: DEVELOPER INTEGRATION GUIDE This library is a low-level engine for building sophisticated indicators. 1. Import the Library: import DskyzInvestments/DafeWickLib/1 as wpk 2. Initialize the Agents: var agents = wpk.create_learning_agents() 3. Analyze the Market: regime = wpk.detect_regime(100) wick_data = wpk.analyze_wick(0, regime, agents) prob = wpk.get_probability(wick_data, regime) 4. Update Learning (Feedback Loop): agent_id = wpk.get_agent_by_pattern(wick_data) agents := wpk.update_learning_agent(agents, agent_id, 1.0) // +1 win, -1 loss █ CHAPTER 5: THE DEVELOPER'S FRAMEWORK — INTEGRATION GUIDE This library serves as a professional integration framework. This guide provides instructions and templates required to connect the DAFE components into a unified custom Pine Script indicator. PART I: THE INPUTS TEMPLATE (CONTROL PANEL) To provide users full control over the system, include the input templates from all connected libraries. This section details the bridge-specific controls. // ╔═════════════════════════════════════════════════════════╗ // ║ BRIDGE INPUTS TEMPLATE (COPY INTO YOUR SCRIPT) ║ // ╚═════════════════════════════════════════════════════════╝ // INPUT GROUPS string G_BRIDGE_MAIN = "════════════ 🌉 BRIDGE CONFIG ════════════" string G_BRIDGE_EXT = "════════════ 🌐 EXTERNAL DATA ════════════" // BRIDGE MAIN CONFIG float i_bridge_min_conf = input.float(0.55, "Min Confidence to Trade", minval=0.4, maxval=0.8, step=0.01, group=G_BRIDGE_MAIN, tooltip="Minimum blended confidence required for a trade signal.") int i_bridge_warmup = input.int(100, "System Warmup Bars", minval=50, maxval=500, group=G_BRIDGE_MAIN, tooltip="Bars required for data gathering before signals begin.") // EXTERNAL DATA SOCKETS bool i_ext_enable = input.bool(true, "🌐 Enable External Data Sockets", group=G_BRIDGE_EXT, tooltip="Enables analysis of external market data (e.g., VIX, DXY).") // Example for one external socket string i_ext1_name = input.string("VIX", "Socket 1: Name", group=G_BRIDGE_EXT, inline="ext1") string i_ext1_sym = input.symbol("TVC:VIX", "Symbol", group=G_BRIDGE_EXT, inline="ext1") string i_ext1_type = input.string("volatility", "Data Type", options= , group=G_BRIDGE_EXT, inline="ext1") float i_ext1_weight = input.float(1.0, "Weight", minval=0.1, maxval=2.0, step=0.1, group=G_BRIDGE_EXT, inline="ext1") PART II: IMPLEMENTATION LOGIC (THE CORE LOOP) This boilerplate code demonstrates the complete, unified pipeline structure. // ╔════════════════════════════════════════════════════════╗ // ║ USAGE EXAMPLE (ADAPT TO YOUR SCRIPT) ║ // ╚════════════════════════════════════════════════════════╝ // 1. INITIALIZE ENGINES (First bar only) var rl.RLAgent agent = rl.init(...) var spa.SPAEngine spa_engine = spa.init(...) var bridge.BridgeState bridge_state = bridge.init_bridge(i_spa_num_arms, i_rl_num_actions, i_bridge_min_conf, i_bridge_warmup) // 2. CONNECT SOCKETS (First bar only) if barstate.isfirst // Connect internal sockets agent := rl.connect_socket(agent, "rsi", ...) // Register external sockets if i_ext_enable ext_socket_1 = bridge.create_ext_socket(i_ext1_name, i_ext1_sym, i_ext1_type, i_ext1_weight) bridge_state := bridge.register_ext_socket(bridge_state, ext_socket_1) // 3. MAIN LOOP (Every bar) // --- A. UPDATE EXTERNAL DATA --- if i_ext_enable = request.security(i_ext1_sym, timeframe.period, ) bridge_state := bridge.update_ext_by_name(bridge_state, i_ext1_name, ext1_c, ext1_h, ext1_l) bridge_state := bridge.aggregate_ext_sockets(bridge_state) // --- B. RL/ML PROPOSES --- rl.RLState ml_state = rl.build_state(agent) = rl.select_action(agent, ml_state) agent := updated_agent // --- C. BRIDGE TRANSLATES --- array arm_signals = bridge.generate_arm_signals(ml_action.action, ml_action.confidence, i_spa_num_arms, i_rl_num_actions, 0) // --- D. SPA DISPOSES --- spa_engine := spa.feed_signals(spa_engine, arm_signals, close) = spa.select(spa_engine) spa_engine := updated_spa string arm_name = spa.get_name(spa_engine, selected_arm) // --- E. RECONCILE REGIME & COMPUTE RISK --- bridge_state := bridge.reconcile_regime(bridge_state, ml_regime_id, ml_regime_name, ml_conf, spa_regime_id, spa_conf, ...) float risk = bridge.compute_risk(bridge_state, ml_action.confidence, spa_conf, ...) // --- F. MAKE FINAL DECISION --- bridge_state := bridge.make_decision(bridge_state, ml_action.action, ml_action.confidence, selected_arm, arm_name, final_spa_signal, spa_conf, risk, 0.25) bridge.UnifiedDecision final_decision = bridge_state.decision // --- G. EXECUTE --- if final_decision.should_trade // Plot signals, manage positions based on final_decision.direction // --- H. LEARN (FEEDBACK LOOP) --- if (trade_is_closed) bridge_state := bridge.compute_reward(bridge_state, selected_arm, ...) agent := rl.learn(agent, ..., bridge_state.reward.shaped_reward, ...) // --- I. PERFORMANCE & DIAGNOSTICS --- bridge_state := bridge.update_performance(bridge_state, actual_market_direction) if barstate.islast label.new(bar_index, high, bridge.bridge_diagnostics(bridge_state), textalign=text.align_left) █ DEVELOPMENT PHILOSOPHY DafeMLSPABridge represents a hierarchical design philosophy. We believe robust systems rely not on a single algorithm, but on the intelligent integration of specialized subsystems. A complete trading logic requires tactical precision (ML), strategic selection (SPA), and environmental awareness (External Sockets). This library provides the infrastructure for these components to communicate and coordinate. █ DISCLAIMER & IMPORTANT NOTES • LIBRARY FOR DEVELOPERS: This script is an integration tool and produces no output on its own. It requires implementation of DafeRLMLLib and DafeSPALib. • COMPUTATION: Full bridged systems are computationally intensive. • RISK: All automated decisions are based on statistical probabilities from historical data. They do not predict future market movements with certainty. "The whole is greater than the sum of its parts." — Aristotle Create with DAFE.
Pine Script® library
by DskyzInvestments
Moonboys BTC Liquidation Heatmap═════════════════════════════════════════════════════════════ MoonBoys BTC LIQUIDATION HEATMAP ═════════════════════════════════════════════════════════════ Visualize high-probability liquidation zones across Bitcoin futures markets using multi-exchange data and algorithmic pivot detection. ═══ OVERVIEW ═══ This indicator tracks where leveraged positions cluster and highlights areas where cascading liquidations are likely to occur. By combining Open Interest data from major exchanges with volume-weighted pivot analysis, it shows you where the market's leverage is stacked before price gets there. Perfect for: • Anticipating volatility zones • Identifying potential reversal areas • Avoiding stop-hunt regions • Confirming breakout/breakdown levels ═══ KEY FEATURES ═══ 🎨 HEAT-MAPPED LIQUIDATION ZONES └─ Green zones = Long liquidations (below price) └─ Purple zones = Short liquidations (above price) └─ Color intensity = Volume significance ⚡ SMART SIGNIFICANCE DETECTION └─ Top 30% of levels automatically highlighted └─ Lightning bolt icon (⚡) marks critical zones └─ Enhanced with borders, brighter colors, and bold labels └─ Weak levels stay subtle to reduce noise 📊 MULTI-EXCHANGE DATA └─ Binance Futures Open Interest └─ Bybit Futures Open Interest └─ Coinbase Spot Volume └─ Toggle exchanges individually 🕐 MULTI-TIMEFRAME COMPATIBLE └─ Works on all timeframes: 1m to Monthly └─ Auto-adjusts filters and aggregation per timeframe └─ Consistent performance across different chart scales 🎯 CLEAN VISUAL DESIGN └─ Labels positioned right of chart (off candles) └─ Connector lines show which label belongs to which zone └─ Hit levels fade automatically └─ Only active zones are labeled ═══ HOW TO READ IT ═══ ┌─────────────────────────────────────────────────────────┐ │ ZONE TYPE │ MEANING │ ├─────────────────────────────────────────────────────────┤ │ 🟢 Green (below) │ Long liquidation cluster │ │ │ → Potential bounce/support zone │ ├─────────────────────────────────────────────────────────┤ │ 🟣 Purple (above)│ Short liquidation cluster │ │ │ → Potential rejection/resistance │ ├─────────────────────────────────────────────────────────┤ │ ⚡ With icon │ Top 30% most significant levels │ │ │ → Higher probability of reaction │ └─────────────────────────────────────────────────────────┘ ═══ TRADING APPLICATIONS ═══ 📈 TREND CONTINUATION → Price rejects from liquidation zone = trend strength → Watch for bounces at green zones in uptrends → Watch for rejections at purple zones in downtrends 🔄 REVERSAL SETUPS → Price diving into dense liquidation clusters → Heavy volume + liquidation zone = potential turning point → Combine with momentum divergence for confirmation ⚠️ RISK MANAGEMENT → Avoid entries near untouched significant levels → High probability of stop hunts and slippage → Wait for price to sweep and confirm before entry 🧩 CONFLUENCE TRADING → Layer with support/resistance → Combine with volume profile nodes → Use alongside order flow indicators → Validate with moving averages or trend tools ═══ SETTINGS GUIDE ═══ 📡 DATA FEEDS ├─ Binance Futures OI: Toggle Binance data ├─ Bybit Futures OI: Toggle Bybit data └─ Coinbase Spot Vol: Toggle Coinbase data 🔍 LIQUIDATION DETECTION ├─ Lookback Bars (100-2000): Historical scan range ├─ Pivot Width (1-20): Detection sensitivity │ └─ Higher = fewer, stronger levels ├─ Target Leverage Tier: Distance from pivot │ ├─ 25x-50x: 2-4% zones │ ├─ 50x-100x: 0.8-2% zones (default) │ └─ 100x+: 0.3-0.8% zones ├─ Min Activity Filter: Remove weak signals └─ Extend Levels (0-200): Project zones forward 🎨 VISUAL OPTIONS ├─ Long/Short Colors: Customize zone colors ├─ Heat Contrast (0.1-3.0): Intensity scaling ├─ Significance Threshold (0.3-0.95): Top % to highlight ├─ Touched Transparency: Fade amount for hit levels └─ Label Offset: Distance from chart edge ═══ HOW IT WORKS ═══ 1. PIVOT IDENTIFICATION Scans historical data for swing highs/lows using pivot detection 2. VOLUME AGGREGATION Combines Open Interest + Volume at each pivot point Creates weighted metric for liquidation probability 3. ZONE PROJECTION Calculates liquidation bands based on selected leverage tier Projects zones where stop losses are likely stacked 4. SIGNIFICANCE RANKING Normalizes all levels against historical range Top percentile gets enhanced visual treatment 5. REAL-TIME TRACKING Monitors price interaction with each zone Active zones extend forward | Hit zones fade and lock Memory management removes outdated levels ═══ BEST PRACTICES ═══ ✅ DO: • Use on high-liquidity BTC pairs (BTCUSDT, BTCUSD) • Combine with volume and order flow analysis • Look for confluences with key technical levels • Use higher timeframes for more reliable zones • Adjust leverage tier based on market volatility ❌ DON'T: • Trade liquidation zones blindly without confirmation • Ignore broader market context and trend direction • Overtrade every single level that appears • Use as sole entry/exit criteria • Forget proper position sizing and risk management ═══ TECHNICAL NOTES ═══ • Built with Pine Script v6 • Max 500 boxes, 100 labels for optimal performance • Auto-scales for different timeframe data availability • Uses request.security() for multi-exchange aggregation • Dynamic memory management prevents chart lag ═══ DISCLAIMER ═══ This indicator visualizes potential liquidation zones based on historical volume and open interest data. It does NOT: • Predict future price movements with certainty • Guarantee reversals or continuations • Provide buy/sell signals • Replace proper risk management Liquidation zones show where leverage is concentrated — not where price will definitely react. Always use this tool as part of a comprehensive trading strategy alongside technical analysis, risk management, and market context. 📚 EDUCATIONAL USE ONLY | NOT FINANCIAL ADVICE ═══ RESOURCES ═══ Pine Script Documentation → www.tradingview.com Understanding Liquidations → academy.binance.com Open Interest Data → www.coinglass.com Leverage Trading Education → www.investopedia.com ═══════════════════════════════════════════════════════════ Built for the Bitcoin trading community 🚀 Because knowing where the leverage sits is half the battle 💎 ═══════════════════════════════════════════════════════════
Pine Script® indicator
by VickzinBK
Auction Market Theory LevelsAuction Market Theory Indicator TradingView Pine Script v6 indicator that plots Auction Market Theory (AMT) session levels for RTH/ETH, including value area, VPOC, initial balance extensions, and session VWAP, with Bookmap cloud notes logging. Features RTH and ETH session detection with configurable session times. RTH levels: HOD/LOD, IB30, IB60, IB0.5, IB1.5, IB2. Value Area (VAH/VAL) and VPOC computed from a session volume profile histogram. ETH levels: ONH/ONL/ONMID/ONVPOC. Session VWAP overlay. Optional labels and/or lines, with ability to extend lines to the right. Previous session level carry-forward. Bookmap CSV-style logging and alert payload formatting. ## Inputs Sessions: `RTH session time`, `ETH session time`. Levels toggles: `Show HOD and LOD`, `Show IB`, `Show IB30`, `Show IB60`, `Show IB1.5`, `Show IB2`, `Show ONH, ONL, ONVPOC, ONMID`, `Show VAH and VAL`, `Show VPOC`. Value Area: `Value Area %`, `Number of Histograms`. Display: `Show price labels`, `Show Lines at price levels`, `Extend lines to the right`, `Session VWAP`, `VWAP color`. Lookback: `Look back time in hours for previous sessions`. Logging: `Symbol Prefix` for Bookmap datafeed output. Getting started 1. Open TradingView and create a new Pine Script. 2. Paste the contents of (src/auction-market-theory.pine). 3. Save and add the indicator to a chart. Notes The indicator is designed to run on intraday timeframes with session boundaries. VPOC/VAH/VAL are calculated from a volume profile histogram built from session bars. Alerts emit a CSV-style payload containing AMT levels for Bookmap. Bookmap Cloud Notes output The script logs and alerts a CSV-style line compatible with Bookmap Cloud Notes. Each line follows this format: "SYMBOL",PRICE,NOTE,FG_COLOR,BG_COLOR,ALIGN,DIAMETER,LINE Example (from the script): "ESH6.CME@BMD",5243.25,ONVPOC,#000000,#ff0066,left,1,TRUE Alerts → email → local Bookmap Cloud Notes TradingView alerts can be configured to send these CSV lines to your email address. A simple Python script can then read the email and publish the notes locally to Bookmap Cloud Notes. Suggested flow: 1. Create a TradingView alert for this indicator. 2. Use the alert message template to output the payload (the script already builds the message in `msg`). 3. Configure the alert to send to your email. 4. Run a local Python reader that parses the incoming email and forwards the CSV lines to your Bookmap Cloud Notes endpoint.
Pine Script® indicator
by dercremigetz3ss
Crypto MMFCrypto MMF Indicator: The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims. Integration Rationale Volume-Weighted Momentum Analysis The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations. The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise. Multi-Timeframe Momentum Convergence The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons. This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences. Component Synergy Mechanism Core Calculation Components Price-Volume Integration Engine The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum. Exponential Smoothing Application Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure. Normalization Process The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds. Multi-Timeframe Synchronization System Hierarchical Timeframe Calculation The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods. Cross-Timeframe Data Retrieval A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions. Higher Timeframe Smoothing Layer An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style. Signal Generation Framework Threshold-Based Zone Analysis The indicator establishes three operational zones based on statistical observations of momentum extremes: Neutral zone (25-75): Represents balanced market conditions Lower extreme zone (0-25): Indicates potential oversold conditions Upper extreme zone (75-100): Indicates potential overbought conditions These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes. Conditional Signal Categorization The system monitors four distinct momentum conditions: Initial extreme readings: Momentum enters extreme zones without confirmation Confirmed extremes: Smoothed momentum follows into extreme zones Multi-timeframe alignment: Current and higher timeframe momentum move in concert Multi-timeframe divergence: Current and higher timeframe momentum diverge Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge. Practical Implementation Guidelines Functional Applications Trend Confirmation Protocol When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement. Divergence Detection Methodology Three divergence types merit monitoring: Classic divergence: Price reaches new extremes while momentum fails to confirm Hidden divergence: Price retraces within a trend while momentum suggests trend continuation Timeframe divergence: Momentum moves opposite directions across timeframes Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns. Zone-Based Risk Assessment The oscillator's bounded nature facilitates structured risk assessment: Extreme zone entries: Higher potential reward but require confirmation Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios Zone transitions: Often precede accelerated price movements Parameter Configuration Philosophy Core Parameter Settings The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments. Multi-Timeframe Multiplier Selection The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value. Smoothing Parameter Considerations Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation. Interpretation Protocol Step 1: Momentum Context Assessment Begin analysis by determining the current momentum context: Absolute level relative to threshold zones Direction and velocity of recent momentum changes Relationship to the midpoint (50) level Step 2: Timeframe Alignment Evaluation Compare current and higher timeframe momentum: Confirm directional alignment for trend trading Identify divergences for potential reversal scenarios Assess convergence strength for position sizing decisions Step 3: Volume Confirmation Analysis Evaluate whether recent volume patterns support momentum readings: Extreme momentum with declining volume: Caution warranted Neutral momentum with increasing volume: Potential breakout precursor Confirmed momentum with expanding volume: Higher conviction signal Step 4: Market Context Integration Correlate momentum readings with broader market context: Correlated cryptocurrency movements Overall market capitalization trends Relevant news or fundamental developments Originality and Differentiation Innovative Design Elements Volume-Integrated Momentum Calculation Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur. Dynamic Timeframe Adaptation The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments. Multi-Layer Confirmation Framework The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions. Theoretical Foundations The indicator's design incorporates elements from multiple technical analysis disciplines: Momentum analysis principles from oscillator theory Volume-price relationships from market microstructure Multi-timeframe analysis from hierarchical trend theory Statistical normalization from quantitative analysis This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena. Risk Management Integration Signal Quality Assessment The indicator facilitates signal quality evaluation through multiple confirmation requirements: Primary momentum extreme reading Smoothed momentum confirmation Higher timeframe alignment or constructive divergence Supporting volume characteristics Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation. False Signal Mitigation Several design elements reduce false signal susceptibility: Volume-weighting filters low-conviction price movements Exponential smoothing reduces noise-induced fluctuations Multi-timeframe analysis filters counter-trend movements Graduated confirmation requirements prevent premature action These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely. Implementation Considerations Cryptocurrency Market Specificity The indicator incorporates design elements particularly relevant to cryptocurrency markets: 24/7 market operation accommodation High volatility regime compatibility Volume data availability considerations Cross-market correlation awareness These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets. Customization Guidelines Users may adjust parameters based on: Trading timeframe (scalping, day trading, swing trading) Cryptocurrency pair characteristics (volatility, volume profile) Risk tolerance and trading style Market regime (trending, ranging, transitional) Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance. Conclusion The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations. The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Pine Script® indicator
by neeson1987