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חפש סקריפטים עבור "股价站上60月线"

DEMA Double Exponential Moving Average Strategy@Moneros 2017 Based on The DEMA is a fast-acting moving average that is more responsive to market changes than a traditional moving average en.wikipedia.org !!!! IN ORDER TO AVOID REPAITING ISSUES !!!! !!!! DO NOT VIEW IN LOWER RESOLUTIONS THAN res/2 PARAMETER !!!! for example res = 120 view >= 60m res = 60 view >= 30m the length of the DEMA sampling shouldn't be longer than a candle Best profits tested on BTCUSD res = 105 slowPeriod = 2 fastPeriod = 32 res = 125 slowPeriod = 3 fastPeriod = 21 res = 120 slowPeriod = 2 fastPeriod = 32 res = 130 slowPeriod = 1 fastPeriod = 24 res = 40 slowPeriod = 4 fastPeriod = 93 res = 60 slowPeriod = 1 fastPeriod = 67 BTCUSD
אסטרטגיית Pine Script®
מאת ‎moneros‎
29
Hersheys CoCo VolumeCoCo Volume shows you volume movement of your symbol after subtracting the movement from another symbol, preferrably the sector or market the stock belongs to. My latest update to my CoCoVolume Indicator. It calculates today's volume percent over the 60 period average for both your symbol and index, and displays that difference. If the percent is over the max it highlights the color, showing BIG action for that stock. The last version was calculating the percent volume difference from yesterday to today for the stock and index and displaying the difference. The prior method had large swings on low volume stocks... this one shows the independent volume action much better. The default values will suit most stocks. You can set three variables... - the index symbol, default is SPY - the period for averaging, default is 60 - the max volume percent, default is 500 Good trading! Brian Hershey
אינדיקטור Pine Script®
מאת ‎bnh‎
1
close-hl2 Price actionStill not tested, but looks very good ; it is the difference between EMA median price and EMA close in different time frame, I used 240, 60, and the current Time frame ,plus one more customed period ; can forcast the price movement , but it s not in scale, so it can not show how much higher or lower the price can goes but just the next direction. I think intraday on 5 ,15 ,60 better then high frame.If you need to try on Daily frame have to change the period to higher then Daily
אינדיקטור Pine Script®
מאת ‎MarcoValente‎
3
Everyday 0002 _ MAC 1st Trading Hour WalkoverThis is the second strategy for my Everyday project. Like I wrote the last time - my goal is to create a new strategy everyday for the rest of 2016 and post it here on TradingView. I'm a complete beginner so this is my way of learning about coding strategies. I'll give myself between 15 minutes and 2 hours to complete each creation. This is basically a repetition of the first strategy I wrote - a Moving Average Crossover, but I added a tiny thing. I read that "Statistics have proven that the daily high or low is established within the first hour of trading on more than 70% of the time." (source: ) My first Moving Average Crossover strategy, tested on VOLVB daily, got stoped out by the volatility and because of this missed one nice bull run and a very nice bear run. So I added this single line: if time("60", "1000-1600") regarding when to take exits: if time("60", "1000-1600") strategy.exit("Close Long", "Long", profit=2000, loss=500) strategy.exit("Close Short", "Short", profit=2000, loss=500) Sweden is UTC+2 so I guess UTC 1000 equals 12.00 in Stockholm. Not sure if this is correct, actually. Anyway, I hope this means the strategy will only take exits based on price action which occur in the afternoon, when there is a higher probability of a lower volatility. When I ran the new modified strategy on the same VOLVB daily it didn't get stoped out so easily. On the other hand I'll have to test this on various stocks . Reading and learning about how to properly test strategies is on my todo list - all tips on youtube videos or blogs to read on this topic is very welcome! Like I said the last time, I'm posting these strategies hoping to learn from the community - so any feedback, advice, or corrections is very much welcome and appreciated! /pbergden
אסטרטגיית Pine Script®
מאת ‎pbergden‎
SHAP-Aligned BUY Signal (Daily, Edge-Triggered)Based on the XGBoost + SHAP interpretation report, I'll explain which indicators to monitor for buying NVO. However, I must emphasize that this model performed poorly (47.5% accuracy) and should NOT be used for actual trading! That said, here's what the model learned (for educational purposes): 📊 Top Indicators to Monitor for BUY Signals 1. Days_Since_Low (Most Important - 1.264) Direction: BULLISH ↑ Interpretation: Higher values → UP prediction What to monitor: Track how many days since the stock hit its recent low Buy signal: When the stock has been recovering for an extended period (e.g., 100+ days from low) Why it matters: The model learned that stocks in long-term recovery tend to continue rising 2. SMA_50 (50-day Moving Average) (0.413) Direction: BULLISH ↑ Interpretation: Higher absolute SMA_50 values → UP prediction What to monitor: The 50-day simple moving average price level Buy signal: When SMA_50 is at higher levels (e.g., above $80-90) Why it matters: Higher moving averages indicate stronger long-term trends 3. SMA_200 (200-day Moving Average) (0.274) Direction: BULLISH ↑ Interpretation: Higher SMA_200 → UP prediction What to monitor: The 200-day simple moving average Buy signal: When SMA_200 is trending upward and at elevated levels Why it matters: Long-term trend indicator; golden cross (SMA_50 > SMA_200) is traditionally bullish 4. BB_Width (Bollinger Band Width) (0.199) Direction: BULLISH ↑ Interpretation: WIDER Bollinger Bands → UP prediction What to monitor: The distance between upper and lower Bollinger Bands Buy signal: When BB_Width is expanding (increasing volatility often precedes trend moves) Why it matters: Widening bands can signal the start of a new trend 5. Price_SMA_50_Ratio (0.158) Direction: BULLISH ↑ Interpretation: When price is ABOVE the 50-day MA → UP prediction What to monitor: Current price ÷ SMA_50 Buy signal: When ratio > 1.0 (price is above the 50-day average) Why it matters: Price above moving averages indicates uptrend 6. Momentum_21D (21-day Momentum) (0.152) Direction: BULLISH ↑ Interpretation: Positive 21-day momentum → UP prediction What to monitor: 21-day rate of change Buy signal: When momentum is positive and increasing Why it matters: Positive momentum suggests continuation 7. Stoch_K (Stochastic Oscillator) (0.142) Direction: BULLISH ↑ Interpretation: Higher Stochastic K → UP prediction What to monitor: Stochastic oscillator (0-100 scale) Buy signal: When Stoch_K is rising from oversold (<20) or in mid-range (40-60) Why it matters: Measures momentum and overbought/oversold conditions
אינדיקטור Pine Script®
מאת ‎yellowpierid‎
[AlscapeLabs] HTF Candle Stack (Multi-Timeframe) Overview The HTF Candle Stack (Multi-TF) indicator is a powerful visualization tool designed to overlay high-timeframe (HTF) price action directly onto your current chart, independent of the chart's price scale. This gives traders a clear, aligned, and non-overlapping view of simultaneous price movements across customizable timeframes. By stacking the candles horizontally next to the chart's price action, the indicator allows for quick identification of multi-timeframe correlation, trend confluence, and key levels without switching chart timeframes. Key Features 6 Independent Stacks: Configure up to 6 separate timeframes (e.g., 5m, 15m, 1H, 4H, Daily, Weekly) to view the complete market fractals from micro to macro. Price-Aligned Visualization : All HTF candle stacks are perfectly aligned with the main chart's vertical price axis Replay Mode Safe : Includes dedicated logic to prevent "duplicate candles" during Bar Replay, ensuring accurate backtesting and historical analysis. Toggleable Stacks : Each stack can be individually enabled or disabled via input settings Dynamic Spacing : The distance between active stacks is automatically calculated and adjusted based on the visibility of the preceding stack. Settings Guide Stack Configuration (1 - 6) Each of the six stacks has identical controls: Show/Hide : Enable or disable this specific stack. Timeframe : The specific HTF to display (e.g., "60" for 1 Hour, "D" for Daily). [*} Count : How many candles to show in this stack (Current Active Candle + Past Closed Candles). Tip: Use higher counts (10-12) for lower TFs (Stack 1-2) and lower counts (2-4) for higher TFs (Stack 5-6) Candle Color Controls global coloring Bullish / Bearish : Customize the body colors. Wick : Separate control for wick color and transparency Layout Distance from Chart : How far (in bars) to the right the first stack begins Space between Stacks : The gap (in bars) between each active stack. Candle Width : The thickness of the HTF candles. Labels Displays a time-frame next to the active (live) candle in each stack Show TF Labels : Enable or disable labels through all stacks Text Color : Label text color Background : Label background color Style : Label position (Left, Down) Size : Label text size (Tiny, Small, Normal, Large, Huge) Developed by AlscapeLabs
אינדיקטור Pine Script®
מאת ‎stan153‎
Reversal Strength with Momentum Ratings on 4hr charts Here's a quick breakdown of what you'll see on your chart and how to actually use the indicator! Reversal Labels: ↑ = Bullish reversal (price reversing upward) ↓ = Bearish reversal (price reversing downward) STRONG (bright green/red) = High-confidence reversal (score > 65) weak (faded green/red) = Low-confidence reversal (score ≤ 65) Number on label = Reversal strength score (0-100) Momentum Table (Top Right): Overall Score (0-100) = Total momentum strength Green (80+) = Very strong momentum Yellow (40-60) = Moderate momentum Orange/Red (<40) = Weak/stalling momentum Individual Momentum Scores (each worth 0-20 points): Volume = How much trading activity vs average Price ROC = How fast price is moving (rate of change) MA Spacing = How spread out the moving averages are (trend strength) ADX = Directional movement indicator (trend conviction) RSI Mom. = How far RSI is from neutral 50 (momentum extreme) Status Indicators: 🔥 STRONG = Momentum > 70 (strong move happening) 📈 BUILDING = Momentum 50-70 (gaining strength) ⚠️ WEAK = Momentum 30-50 (losing steam) 💤 STALLING = Momentum < 30 (very weak/choppy) Background Tint: Light green background = Strong momentum (>70) Light red background = Very weak momentum (<30) The key is: look for STRONG reversal labels when momentum is building/strong for the best trade setups! Also this is mainly for the 4hr time frame.
אינדיקטור Pine Script®
מאת ‎wateriskey6689‎
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!**
אינדיקטור Pine Script®
מאת ‎frankieho_92‎
Initial Balance with AlertsThis indicator is a comprehensive tool for Auction Market Theory (AMT) practitioners who rely on the Initial Balance (IB) to determine the day's likely structure. It automatically plots the High and Low of the opening session (user-definable) and extends those levels to provide key support and resistance zones for the remainder of the trading day. Unlike standard IB indicators, this script features Smart Alerts that are time-filtered. You can define a specific "Active Alert Window" (e.g., RTH only) to ensure you are notified of breakouts during key hours, while avoiding spam notifications during overnight or low-volume sessions. Key Features: 1. Customizable Initial Balance Flexible Session: Define the exact start and end time for your IB calculation (Default: 08:30–09:30). Visual Clarity: Plots IB High, IB Low, and the 50% Midpoint with fully customizable line styles, colors, and widths. 2. Smart Time-Filtered Alerts Breakout Detection: Triggers an alert when price crosses above the IB High or below the IB Low. Session Filter: Includes a unique "Allowed Alert Time" input. Alerts will only fire if the breakout happens within this window (Default: 08:30–15:00), preventing unwanted notifications during overnight chop. 3. Advanced Extensions & Targets Extensions: Option to display multiples of the IB range (2x, 3x) to serve as statistical targets for trend days. Intermediate Levels: Option to display half-step extensions (e.g., 1.5x) for tighter scalping targets. 4. IB Delta Analytics Dashboard Context is Key: An optional on-screen dashboard tracks the size of the Initial Balance over the last 20 days. Sentiment: Automatically categorizes today's IB as "Huge," "Medium," or "Small" compared to the 20-day average. This helps you anticipate if the day is likely to be a "Range Day" (Large IB) or a "Trend Day" (Small IB). Settings Overview: Calculation Period: The time used to measure the high and low (e.g., first 60 mins). Allowed Alert Time: The window during which alerts are active. Show Extra Levels: Toggles the 2x and 3x extensions. Fill IB Areas: Adds a background color to the opening range for better visibility. Delta Analytics: Toggles the statistics table on/off. Author's Instructions How to Configure the Time Settings: This script uses two distinct time inputs to give you maximum control: "Calculation period": This is when the script measures the High and Low. Example: 0830-0930 (The first hour of the NYSE session). "Allowed Alert Time (RTH)": This is when the script is allowed to send you alerts. Example: 0830-1500 (The full trading day). Why this matters: If price breaks the IB High at 18:00 (during the overnight session), the script will ignore it if your alert time ends at 15:00. This saves you from waking up to low-probability signals. Setting Up Alerts: To activate the alerts, add the indicator to your chart, click the "Alerts" button (clock icon) in the top toolbar, select this indicator from the "Condition" list, and choose "Any alert() function call". Disclaimer: This tool is for informational purposes only. Past performance does not guarantee future results.
אינדיקטור Pine Script®
מאת ‎tantankatrading‎
AMT Structure: 80% Traverse, PD Levels & nPOCsHere is a clean, professional description formatted for the TradingView description box. It highlights the methodology (AMT/80% Rule), the specific features, and the credits. Title: AMT Structure: 80% Traverse, PD Levels & nPOCs Description: This indicator is a comprehensive toolkit designed for futures traders utilizing Auction Market Theory (AMT) and Volume Profile strategies. It consolidates multiple scripts into a single, unified overlay to declutter your chart while providing essential structural references for the 80% Traverse setup, intraday context, and longer-term auction targets. Key Features: 1. 80% Rule / Traverse Setup (Chart Champions Logic) Automated RTH Open Detection: Hardcoded to the 08:30 AM CT Open to ensure accuracy for US Futures (ES/NQ) regardless of your chart's timezone settings. Value Area Logic: Automatically calculates the Previous Day's Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC). Setup Detection: If the market opens outside of the previous day's value, the script highlights the Value Area in color (default: Purple), signaling that an 80% traverse (filling the value area) is structurally possible if price re-enters value. Background Fill: Optional shading between VAH and VAL to clearly visualize the "playing field" for the traverse. 2. Auction Market Theory (AMT) Premarket Levels Overnight High/Low: Automatically captures the highest and lowest prices traded during the overnight session (17:00 - 08:30 CT). Breakout Alerts: Includes logic to detect and alert when these overnight levels are broken during the RTH session. Auto-Cleanup: Lines can be set to auto-delete after a specified time (default: 60 mins into the session) to keep the chart clean after the Initial Balance (IB) period. 3. Structural Reference Levels Previous Day Levels: Plots Previous Day High, Low, and Equilibrium (Midpoint) as standard reference lines. Initial Balance (IB): Option to display the First Hour High and Low (08:30 - 09:30 CT) to assess day type (Neutral, Trend, Normal Variation, etc.). RTH VWAP: An anchored VWAP that resets specifically at the RTH Open (08:30 CT), distinct from the standard 24-hour VWAP. 4. Naked Points of Control (nPOCs) Multi-Timeframe Tracking: Tracks and plots Naked POCs for Daily, Weekly, and Monthly profiles. Auto-Cleanup: Lines automatically delete themselves the moment price touches them, ensuring you only see untested levels. Customization: Toggle each timeframe on/off individually. Settings & Customization: Global Offset: Move all text labels to the right with a single setting to prevent price action from obscuring text. 8:30 Open Offset: Independent offset for the Open label to distinguish it from other opening references. Smart Coloring: Text labels automatically match their corresponding line colors for easy identification. Modular Toggles: Every section (AMT, VWAP, PD Levels, CCV, nPOCs) can be turned on or off individually to suit your specific trading plan. Usage: This tool is specifically tuned for ES and NQ futures trading but can be adapted for other instruments. It replaces the need for separate indicators for Overnight Highs/Lows, Previous Day Levels, and Volume Profile targeting.
אינדיקטור Pine Script®
מאת ‎tantankatrading‎
1
ORB + Killzones - Universal AutoORB + Killzones • Universal Auto A clean overlay indicator that automatically plots 15-minute Opening Range Breakout (ORB) levels for major global sessions with full DST handling and optional Killzone shading. Key Features Universal auto-detection: adapts session times and timezones perfectly for crypto (24/7) and traditional markets (cash hours only) 15-minute ORB high/low lines for Tokyo, Hong Kong, China, London, and New York sessions Precise DST-aware London (Europe/London) and New York (America/New_York) sessions Optional translucent Killzone background shading: London Open (0800–1100), NY Open (0930–1100), London Close (1530–1630) — with custom colors and transparency Individual toggle switches for each session ORB and Killzone display Clean neon color scheme matching popular retrowave setups (Tokyo teal, HK magenta, China red, London blue, NY gold) Efficient drawing with persistent lines that extend until session end No repainting, low resource usage (max 250 lines, 60 labels) Ideal for ICT/SMC traders who want accurate multi-session ORBs and high-probability Killzone windows on any instrument or timeframe. Works on forex, indices, stocks, and crypto. Recommend to uncheck timeframes over 1 hour in the Visibility tab of the Settings.
אינדיקטור Pine Script®
מאת ‎zenba_tv‎
ICT Premium/Discount Zones [Exponential-X]Premium/Discount Zones - Visual Market Structure Tool Overview This indicator helps traders visualize premium and discount price zones based on recent market structure. It automatically identifies swing highs and lows within a specified lookback period and divides the price range into three key areas: Premium Zone, Equilibrium, and Discount Zone. What This Indicator Does The script continuously monitors price action and calculates: Highest High and Lowest Low within the lookback period Equilibrium Level - the midpoint between the swing high and low Premium Zone - the area from equilibrium to the swing high (typically viewed as relatively expensive price levels) Discount Zone - the area from the swing low to equilibrium (typically viewed as relatively cheap price levels) Core Calculation Method The indicator uses pivot point logic to identify significant swing highs and lows based on the pivot strength parameter. It then calculates the highest high and lowest low over the specified lookback period. The equilibrium is computed as the arithmetic mean of these two extremes, creating a fair value reference point. The zones are dynamically updated as new price data becomes available, ensuring the visualization remains relevant to current market conditions. Key Features Dynamic Zone Detection Automatically adjusts zones based on recent price action Uses customizable lookback period for flexibility across different timeframes Employs pivot strength parameter to filter out minor price fluctuations Visual Clarity Color-coded zones for easy identification (red for premium, green for discount) Optional equilibrium line display Adjustable zone label placement Customizable color schemes to match your charting preferences Alert Capabilities Alerts when price enters the premium zone Alerts when price enters the discount zone Alerts when price returns to equilibrium Helps traders monitor key zone interactions without constant chart watching Customization Options Adjustable lookback period (5-500 bars) Configurable pivot strength for swing detection (1-20 bars) Control over box extension into the future Toggle labels and equilibrium line on/off Full color customization for all visual elements How to Use This Indicator Setup Add the indicator to your chart Adjust the lookback period to match your trading timeframe (shorter for intraday, longer for swing trading) Set pivot strength to filter out noise (higher values for major swings, lower for more frequent updates) Customize colors and labels to your preference Interpretation Premium Zone: Price trading here may indicate potential resistance or selling opportunities when aligned with other technical factors Discount Zone: Price trading here may indicate potential support or buying opportunities when aligned with other technical factors Equilibrium: Acts as a fair value reference point where price often consolidates or reacts Trading Applications This tool works well when combined with other forms of analysis such as: Trend identification indicators Volume analysis Support and resistance levels Price action patterns Market structure analysis Important Considerations This indicator identifies zones based purely on historical price data Premium and discount zones are relative to the recent lookback period The effectiveness varies across different market conditions and timeframes Should be used as part of a comprehensive trading strategy, not in isolation Past price structure does not guarantee future price behavior Technical Details Calculation Method Uses Pine Script's ta.pivothigh() and ta.pivotlow() functions for swing detection Employs ta.highest() and ta.lowest() for range calculation Updates dynamically with each new bar Draws zones using box objects for clear visual representation Performance Optimization Efficiently manages box and line objects to minimize resource usage Uses conditional plotting to reduce unnecessary calculations Limited to essential visual elements for chart clarity Timeframe Compatibility This indicator works on all timeframes but the recommended settings vary: 1-5 minute charts: Lookback period 10-20, Pivot strength 3-5 15-60 minute charts: Lookback period 20-50, Pivot strength 5-10 Daily charts: Lookback period 50-100, Pivot strength 10-15 Weekly charts: Lookback period 20-50, Pivot strength 5-10 Adjust these values based on the volatility of your specific instrument. Limitations and Considerations What This Indicator Does NOT Do Does not provide buy or sell signals on its own Does not predict future price movements Does not account for fundamental factors or market events Does not guarantee profitability or accuracy Market Condition Awareness In strong trending markets, price may remain in premium or discount zones for extended periods During ranging conditions, price typically oscillates between zones more predictably High volatility can cause frequent zone recalculations Low volatility may result in narrow zones with limited practical use Risk Considerations Premium and discount are relative concepts, not absolute values What appears as a discount zone may continue lower in a downtrend What appears as a premium zone may continue higher in an uptrend Always use proper risk management and position sizing Consider multiple timeframe analysis for context Version Information This indicator is written in Pine Script v6, ensuring compatibility with the latest TradingView features and optimal performance. Final Notes This tool is designed to enhance your market analysis by providing a clear visual representation of premium and discount price zones. It should be used as one component of a well-rounded trading approach that includes proper risk management, multiple forms of analysis, and realistic expectations about market behavior. The concept of premium and discount zones is rooted in auction market theory and the idea that price oscillates around fair value. However, traders should understand that these zones are interpretive tools based on historical data and do not constitute trading advice or predictions about future price action. Remember to backtest any strategy using this indicator on historical data before applying it to live trading, and always trade responsibly within your risk tolerance. Disclaimer: The information provided by this indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. Always conduct your own research and consult with qualified financial professionals before making trading decisions.
אינדיקטור Pine Script®
מאת ‎Exponential-X‎
Razzere Cloned! EzAlgo V.8.1showBuySell = input(true, "Show Buy & Sell", group="BUY & SELL SIGNALS") hassasiyet = input.float(3, "Hassasiyet (1-6)", 0.1, 99999, group="BUY & SELL SIGNALS") percentStop = input.float(1, "Stop Loss % (0 to Disable)", 0, group="BUY & SELL SIGNALS") offsetSignal = input.float(5, "Signals Offset", 0, group="BUY & SELL SIGNALS") showRibbon = input(true, "Show Trend Ribbon", group="TREND RIBBON") smooth1 = input.int(5, "Smoothing 1", 1, group="TREND RIBBON") smooth2 = input.int(8, "Smoothing 2", 1, group="TREND RIBBON") showreversal = input(true, "Show Reversals", group="REVERSAL SIGNALS") showPdHlc = input(false, "Show P.D H/L/C", group="PREVIOUS DAY HIGH LOW CLOSE") lineColor = input.color(color.yellow, "Line Colors", group="PREVIOUS DAY HIGH LOW CLOSE") lineWidth = input.int(1, "Width Lines", group="PREVIOUS DAY HIGH LOW CLOSE") lineStyle = input.string("Solid", "Line Style", ) labelSize = input.string("normal", "Label Text Size", ) labelColor = input.color(color.yellow, "Label Text Colors") showEmas = input(false, "Show EMAs", group="EMA") srcEma1 = input(close, "Source EMA 1") lenEma1 = input.int(7, "Length EMA 1", 1) srcEma2 = input(close, "Source EMA 2") lenEma2 = input.int(21, "Length EMA 2", 1) srcEma3 = input(close, "Source EMA 3") lenEma3 = input.int(144, "Length EMA 3", 1) showSwing = input(false, "Show Swing Points", group="SWING POINTS") prdSwing = input.int(10, "Swing Point Period", 2, group="SWING POINTS") colorPos = input(color.new(color.green, 50), "Positive Swing Color") colorNeg = input(color.new(color.red, 50), "Negative Swing Color") showDashboard = input(true, "Show Dashboard", group="TREND DASHBOARD") locationDashboard = input.string("Middle Right", "Table Location", , group="TREND DASHBOARD") tableTextColor = input(color.white, "Table Text Color", group="TREND DASHBOARD") tableBgColor = input(#2A2A2A, "Table Background Color", group="TREND DASHBOARD") sizeDashboard = input.string("Normal", "Table Size", , group="TREND DASHBOARD") showRevBands = input.bool(true, "Show Reversal Bands", group="REVERSAL BANDS") lenRevBands = input.int(30, "Length", group="REVERSAL BANDS") // Fonksiyonlar smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) => pivHi = ta.pivothigh(prd, prd) pivLo = ta.pivotlow (prd, prd) last_pivHi = ta.valuewhen(pivHi, pivHi, 1) last_pivLo = ta.valuewhen(pivLo, pivLo, 1) hh = pivHi and pivHi > last_pivHi ? pivHi : na lh = pivHi and pivHi < last_pivHi ? pivHi : na hl = pivLo and pivLo > last_pivLo ? pivLo : na ll = pivLo and pivLo < last_pivLo ? pivLo : na f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) f_kc(src, len, hassasiyet) => basis = ta.sma(src, len) span = ta.atr(len) wavetrend(src, chlLen, avgLen) => esa = ta.ema(src, chlLen) d = ta.ema(math.abs(src - esa), chlLen) ci = (src - esa) / (0.015 * d) wt1 = ta.ema(ci, avgLen) wt2 = ta.sma(wt1, 3) f_top_fractal(src) => src < src and src < src and src > src and src > src f_bot_fractal(src) => src > src and src > src and src < src and src < src f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0 f_findDivs(src, topLimit, botLimit) => fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na highPrev = ta.valuewhen(fractalTop, src , 0) highPrice = ta.valuewhen(fractalTop, high , 0) lowPrev = ta.valuewhen(fractalBot, src , 0) lowPrice = ta.valuewhen(fractalBot, low , 0) bearSignal = fractalTop and high > highPrice and src < highPrev bullSignal = fractalBot and low < lowPrice and src > lowPrev // Bileşen... source = close smrng1 = smoothrng(source, 27, 1.5) smrng2 = smoothrng(source, 55, hassasiyet) smrng = (smrng1 + smrng2) / 2 filt = rngfilt(source, smrng) up = 0.0, up := filt > filt ? nz(up ) + 1 : filt < filt ? 0 : nz(up ) dn = 0.0, dn := filt < filt ? nz(dn ) + 1 : filt > filt ? 0 : nz(dn ) bullCond = bool(na), bullCond := source > filt and source > source and up > 0 or source > filt and source < source and up > 0 bearCond = bool(na), bearCond := source < filt and source < source and dn > 0 or source < filt and source > source and dn > 0 lastCond = 0, lastCond := bullCond ? 1 : bearCond ? -1 : lastCond bull = bullCond and lastCond == -1 bear = bearCond and lastCond == 1 countBull = ta.barssince(bull) countBear = ta.barssince(bear) trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0 ribbon1 = ta.sma(close, smooth1) ribbon2 = ta.sma(close, smooth2) rsi = ta.rsi(close, 21) rsiOb = rsi > 70 and rsi > ta.ema(rsi, 10) rsiOs = rsi < 30 and rsi < ta.ema(rsi, 10) dHigh = securityNoRep(syminfo.tickerid, "D", high ) dLow = securityNoRep(syminfo.tickerid, "D", low ) dClose = securityNoRep(syminfo.tickerid, "D", close ) ema1 = ta.ema(srcEma1, lenEma1) ema2 = ta.ema(srcEma2, lenEma2) ema3 = ta.ema(srcEma3, lenEma3) = swingPoints(prdSwing) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) => bool bull_ = na bull_ := equal_tf(res) ? src : bull_ bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_ bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull_ := array.pop(bull_array) array.clear(bull_array) bull_ TF1Bull = securityNoRep1(syminfo.tickerid, "1" , emaBull) TF3Bull = securityNoRep1(syminfo.tickerid, "3" , emaBull) TF5Bull = securityNoRep1(syminfo.tickerid, "5" , emaBull) TF15Bull = securityNoRep1(syminfo.tickerid, "15" , emaBull) TF30Bull = securityNoRep1(syminfo.tickerid, "30" , emaBull) TF60Bull = securityNoRep1(syminfo.tickerid, "60" , emaBull) TF120Bull = securityNoRep1(syminfo.tickerid, "120" , emaBull) TF240Bull = securityNoRep1(syminfo.tickerid, "240" , emaBull) TF480Bull = securityNoRep1(syminfo.tickerid, "480" , emaBull) TFDBull = securityNoRep1(syminfo.tickerid, "1440", emaBull) = f_kc(close, lenRevBands, 3) = f_kc(close, lenRevBands, 4) = f_kc(close, lenRevBands, 5) = f_kc(close, lenRevBands, 6) = wavetrend(hlc3, 9, 12) = f_findDivs(wt2, 15, -40) = f_findDivs(wt2, 45, -65) wtDivBull = wtDivBull1 or wtDivBull2 wtDivBear = wtDivBear1 or wtDivBear2 // Renkler cyan = #00DBFF, cyan30 = color.new(cyan, 70) pink = #E91E63, pink30 = color.new(pink, 70) red = #FF5252, red30 = color.new(red , 70) // Plotlar off = percWidth(300, offsetSignal) plotshape(showBuySell and bull ? low - off : na, "Buy Label" , shape.labelup , location.absolute, cyan, 0, "Buy" , color.white, size=size.normal) plotshape(showBuySell and bear ? high + off : na, "Sell Label", shape.labeldown, location.absolute, pink, 0, "Sell", color.white, size=size.normal) plotshape(ta.crossover(wt1, wt2) and wt2 <= -53, "Mild Buy" , shape.xcross, location.belowbar, cyan, size=size.tiny) plotshape(ta.crossunder(wt1, wt2) and wt2 >= 53, "Mild Sell", shape.xcross, location.abovebar, pink, size=size.tiny) plotshape(wtDivBull, "Divergence Buy ", shape.triangleup , location.belowbar, cyan, size=size.tiny) plotshape(wtDivBear, "Divergence Sell", shape.triangledown, location.abovebar, pink, size=size.tiny) barcolor(up > dn ? cyan : pink) plotshape(showreversal and rsiOs, "Reversal Buy" , shape.diamond, location.belowbar, cyan30, size=size.tiny) plotshape(showreversal and rsiOb, "Reversal Sell", shape.diamond, location.abovebar, pink30, size=size.tiny) lStyle = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed lSize = labelSize == "small" ? size.small : labelSize == "normal" ? size.normal : size.large dHighLine = showPdHlc ? line.new(bar_index, dHigh, bar_index + 1, dHigh , xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dHighLine ) dLowLine = showPdHlc ? line.new(bar_index, dLow , bar_index + 1, dLow , xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dLowLine ) dCloseLine = showPdHlc ? line.new(bar_index, dClose, bar_index + 1, dClose, xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dCloseLine ) dHighLabel = showPdHlc ? label.new(bar_index + 100, dHigh , "P.D.H", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dHighLabel ) dLowLabel = showPdHlc ? label.new(bar_index + 100, dLow , "P.D.L", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dLowLabel ) dCloseLabel = showPdHlc ? label.new(bar_index + 100, dClose, "P.D.C", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dCloseLabel ) plot(showEmas ? ema1 : na, "EMA 1", color.green , 2) plot(showEmas ? ema2 : na, "EMA 2", color.purple, 2) plot(showEmas ? ema3 : na, "EMA 3", color.yellow, 2) plotshape(showSwing ? hh : na, "", shape.triangledown, location.abovebar, color.new(color.green, 50), -prdSwing, "HH", colorPos, false) plotshape(showSwing ? hl : na, "", shape.triangleup , location.belowbar, color.new(color.green, 50), -prdSwing, "HL", colorPos, false) plotshape(showSwing ? lh : na, "", shape.triangledown, location.abovebar, color.new(color.red , 50), -prdSwing, "LH", colorNeg, false) plotshape(showSwing ? ll : na, "", shape.triangleup , location.belowbar, color.new(color.red , 50), -prdSwing, "LL", colorNeg, false) srcStop = close atrBand = srcStop * (percentStop / 100) atrStop = trigger ? srcStop - atrBand : srcStop + atrBand lastTrade(src) => ta.valuewhen(bull or bear, src, 0) entry_y = lastTrade(srcStop) stop_y = lastTrade(atrStop) tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_y tp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_y tp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_y labelTpSl(y, txt, color) => label labelTpSl = percentStop != 0 ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na label.delete(labelTpSl ) labelTpSl(entry_y, "Entry: " + str.tostring(math.round_to_mintick(entry_y)), color.gray) labelTpSl(stop_y , "Stop Loss: " + str.tostring(math.round_to_mintick(stop_y)), color.red) labelTpSl(tp1_y, "Take Profit 1: " + str.tostring(math.round_to_mintick(tp1_y)), color.green) labelTpSl(tp2_y, "Take Profit 2: " + str.tostring(math.round_to_mintick(tp2_y)), color.green) labelTpSl(tp3_y, "Take Profit 3: " + str.tostring(math.round_to_mintick(tp3_y)), color.green) lineTpSl(y, color) => line lineTpSl = percentStop != 0 ? line.new(bar_index - (trigger ? countBull : countBear) + 4, y, bar_index + 1, y, xloc.bar_index, extend.none, color, line.style_solid) : na line.delete(lineTpSl ) lineTpSl(entry_y, color.gray) lineTpSl(stop_y, color.red) lineTpSl(tp1_y, color.green) lineTpSl(tp2_y, color.green) lineTpSl(tp3_y, color.green) var dashboard_loc = locationDashboard == "Top Right" ? position.top_right : locationDashboard == "Middle Right" ? position.middle_right : locationDashboard == "Bottom Right" ? position.bottom_right : locationDashboard == "Top Center" ? position.top_center : locationDashboard == "Middle Center" ? position.middle_center : locationDashboard == "Bottom Center" ? position.bottom_center : locationDashboard == "Top Left" ? position.top_left : locationDashboard == "Middle Left" ? position.middle_left : position.bottom_left var dashboard_size = sizeDashboard == "Large" ? size.large : sizeDashboard == "Normal" ? size.normal : sizeDashboard == "Small" ? size.small : size.tiny var dashboard = showDashboard ? table.new(dashboard_loc, 2, 15, tableBgColor, #000000, 2, tableBgColor, 1) : na dashboard_cell(column, row, txt, signal=false) => table.cell(dashboard, column, row, txt, 0, 0, signal ? #000000 : tableTextColor, text_size=dashboard_size) dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col) if barstate.islast and showDashboard dashboard_cell(0, 0 , "EzAlgo") dashboard_cell(0, 1 , "Current Position") dashboard_cell(0, 2 , "Current Trend") dashboard_cell(0, 3 , "Volume") dashboard_cell(0, 4 , "Timeframe") dashboard_cell(0, 5 , "1 min:") dashboard_cell(0, 6 , "3 min:") dashboard_cell(0, 7 , "5 min:") dashboard_cell(0, 8 , "15 min:") dashboard_cell(0, 9 , "30 min:") dashboard_cell(0, 10, "1 H:") dashboard_cell(0, 11, "2 H:") dashboard_cell(0, 12, "4 H:") dashboard_cell(0, 13, "8 H:") dashboard_cell(0, 14, "Daily:") dashboard_cell(1, 0 , "V.8.1") dashboard_cell(1, 1 , trigger ? "Buy" : "Sell", true), dashboard_cell_bg(1, 1, trigger ? color.green : color.red) dashboard_cell(1, 2 , emaBull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 2, emaBull ? color.green : color.red) dashboard_cell(1, 3 , str.tostring(volume)) dashboard_cell(1, 4 , "Trends") dashboard_cell(1, 5 , TF1Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 5 , TF1Bull ? color.green : color.red) dashboard_cell(1, 6 , TF3Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 6 , TF3Bull ? color.green : color.red) dashboard_cell(1, 7 , TF5Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 7 , TF5Bull ? color.green : color.red) dashboard_cell(1, 8 , TF15Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 8 , TF15Bull ? color.green : color.red) dashboard_cell(1, 9 , TF30Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 9 , TF30Bull ? color.green : color.red) dashboard_cell(1, 10, TF60Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 10, TF60Bull ? color.green : color.red) dashboard_cell(1, 11, TF120Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 11, TF120Bull ? color.green : color.red) dashboard_cell(1, 12, TF240Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 12, TF240Bull ? color.green : color.red) dashboard_cell(1, 13, TF480Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 13, TF480Bull ? color.green : color.red) dashboard_cell(1, 14, TFDBull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 14, TFDBull ? color.green : color.red) plot(showRevBands ? upperKC1 : na, "Rev.Zone Upper 1", red30) plot(showRevBands ? upperKC2 : na, "Rev.Zone Upper 2", red30) plot(showRevBands ? upperKC3 : na, "Rev.Zone Upper 3", red30) plot(showRevBands ? upperKC4 : na, "Rev.Zone Upper 4", red30) plot(showRevBands ? lowerKC4 : na, "Rev.Zone Lower 4", cyan30) plot(showRevBands ? lowerKC3 : na, "Rev.Zone Lower 3", cyan30) plot(showRevBands ? lowerKC2 : na, "Rev.Zone Lower 2", cyan30) plot(showRevBands ? lowerKC1 : na, "Rev.Zone Lower 1", cyan30) fill(plot(showRibbon ? ribbon1 : na, "", na, editable=false), plot(showRibbon ? ribbon2 : na, "", na, editable=false), ribbon1 > ribbon2 ? cyan30 : pink30, "Ribbon Fill Color") // Alarmlar alert01 = ta.crossover(ribbon1, ribbon2) alert02 = bull alert03 = wtDivBull alert04 = wtDivBear alert05 = bull or bear alert06 = ta.crossover(wt1, wt2) and wt2 <= -53 alert07 = ta.crossunder(wt1, wt2) and wt2 >= 53 alert08 = ta.crossunder(ribbon1, ribbon2) alert09 = rsiOb or rsiOs alert10 = bear alert11 = ta.cross(ribbon1, ribbon2) alerts(sym) => if alert02 or alert03 or alert04 or alert06 or alert07 or alert10 alert_text = alert02 ? "Buy Signal EzAlgo" : alert03 ? "Strong Buy Signal EzAlgo" : alert04 ? "Strong Sell Signal EzAlgo" : alert06 ? "Mild Buy Signal EzAlgo" : alert07 ? "Mild Sell Signal EzAlgo" : "Sell Signal EzAlgo" alert(alert_text, alert.freq_once_per_bar_close) alerts(syminfo.tickerid) alertcondition(alert01, "Blue Trend Ribbon Alert", "Blue Trend Ribbon, TimeFrame={{interval}}") alertcondition(alert02, "Buy Signal", "Buy Signal EzAlgo") alertcondition(alert03, "Divergence Buy Alert", "Strong Buy Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert04, "Divergence Sell Alert", "Strong Sell Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert05, "Either Buy or Sell Signal", "EzAlgo Signal") alertcondition(alert06, "Mild Buy Alert", "Mild Buy Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert07, "Mild Sell Alert", "Mild Sell Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert08, "Red Trend Ribbon Alert", "Red Trend Ribbon, TimeFrame={{interval}}") alertcondition(alert09, "Reversal Signal", "Reversal Signal") alertcondition(alert10, "Sell Signal", "Sell Signal EzAlgo") alertcondition(alert11, "Trend Ribbon Color Change Alert", "Trend Ribbon Color Change, TimeFrame={{interval}}")
אינדיקטור Pine Script®
מאת ‎ARMAGAN007‎
Range-Weighted Volatility (Comparable)I wrote an indicator to measure volatility inside a range. It’s extremely useful for choosing a trading pair for grid strategies, because it lets you quickly, easily, and fairly identify which asset is the volatility leader. It measures volatility “fairly” relative to the asset’s trading range, not just by absolute price changes. For example: if an asset trades in a 50–100 range and over a week it moves many, many times between 52 and 98, then it’s highly volatile. But if another asset trades in a 50–1000 range and makes the same 52–98 moves, its volatility is actually low — because the “weight” of that movement relative to the full range is small. The indicator accounts for this “movement weight” relative to the range, then sums these weights into a single number. That number makes it easy to judge whether an asset is suitable for a grid strategy. That’s exactly what grids need: not just high volatility, but high volatility within a narrow range. Settings: the Window (bars) field defines how many bars are used to calculate volatility. On a 5-minute chart, one week is 2016 bars (2460/57). By default, the script calculates over 30 days on 5-minute charts. The script also allows you to set a second symbol for comparison, so you can see both results on the same chart. Написал индикатор для определения волатильности в диапазоне, очень-очень полезно для выбора торговой пары на гриде, позволяет легко и быстро и честно определить лидера по волатильности, при этом определяет ее "честно", относительно торгового диапазона, а не просто изменения цены. Например если актив торгуется в диапазоне 50-100 и за неделю много-много раз сходил 52-98, то это очень волатильный актив, и в то же время если актив торгуется в диапазоне 50-1000 и сходил так же 52-98, то это будет низко волатильный актив, т.е. учитывается "вес" движения относительно диапазона и данные "веса" суммируются в одну единую цифру по которой и можно оценивать насколько актив подходит под грид стратегию. А ведь именно это для гридов и нужно, не просто высокая волатильность, а именно высокая волатильность в узком диапазоне. Касательно настроек , в поле Windows (bars) задается количество баров по которым скрипт будет считать волатильность, на 5-ти минутки неделя это 2016 (24*60/5*7), стандартно скрипт считает за 30 дней на 5-ти минутки. + в самом скрипте можно указать вторую пару для сравнения чтоб на одном графике увидеть результат.
אינדיקטור Pine Script®
מאת ‎alextokarev125‎
Resampling Reverse Engineering Bands XRREB X: Visual Oscillator Projection Bands Based on the innovative "Resampling Reverse Engineering" concept pioneered by Donovan Wall, this enhanced script fixes the core mathematical symmetry and provides anchored, non-repainting bands for reliable analysis. This indicator transforms any RSI, Stochastic, or CCI calculation directly onto your price chart as dynamic support/resistance bands. Instead of watching an oscillator below your chart, you see its overbought/oversold levels projected as price levels the market must reach. RREB X reverses standard oscillator formulas to answer one question: "What price must the market reach for my chosen oscillator to hit an extreme level like RSI=70, Stoch=80, or CCI=100?" It then plots these levels as actionable bands. Key Improvements Adjustable Oscillator Values - While the original was hard coded the reverse engineered oscillator length which limited its usefulness, this script finally allows you to visualize any length oscillator as dynamic OB/OS regions directly on the chart. Dynamic OB/OS levels: This version also lets you dynamically adjust the OB/OS levels location, making bands tighter or wider as your strategy demands. Mathematical Symmetry: Outer bands are perfect mirrors, providing reliable projected levels. Fixed Anchoring: Bands don't repaint historically, offering stable reference lines. Direct Price Translation: Oscillator overbought/oversold conditions are visualized as clear price levels. The Band Calculation Type switch lets you project different oscillator logics, each with unique characteristics for different market conditions. RRSI - General trend & momentum. Change RSI Period (e.g., 7 for fast, 21 for slow). Adjust OB/OS (e.g., 80/20 for strong trends). The bands show the price needed to push your custom RSI into overbought/oversold territory. RStoch - Ranging markets & short-term reversals. Focus on the Stochastic Period. The projected bands are highly sensitive to recent highs/lows. Excellent for spotting reversals at the edges of a range. RCCI - Strong trends & volatile markets. Use a higher Outer Bands Multiplier. CCI's lack of upper/lower bounds means bands reflect extreme momentum shifts. Great for identifying explosive breakout or breakdown levels in trends. Use Middle Band as Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for shorts. Same as the 50 midline on the RSI or Stochastic or 0 for CCI. Customizing the Calculation: The power lies in changing the oscillator lengths that the bands reflect. Adjust these in the settings: Change from 14 to 7 for faster, more reactive bands, or to 21 for slower, smoother bands. Overbought/Oversold: Change from 70/30 to 80/20 for stronger-trend filters, or to 60/40 for more frequent signals. Trading the Bands: Bands as Dynamic S/R: The solid cyan (Upper 100) and magenta (Lower 0) bands act as dynamic support and resistance. A touch and reversal can signal a trade. Gradient as Momentum: The colored fills between bands visually represent the "pressure" needed to reach the next oscillator level. Middle Band as Trend Filter: Price above the white middle band suggests a bullish bias for long setups; below suggests bearish for short setups.
אינדיקטור Pine Script®
מאת ‎NathanielJens‎
Smart Money Alpha Signals (Performance Dashboard) Smart Money Alpha Signals: Identifying Market Leaders & Generating Alpha GMP Alpha Signals (Global Market Performance Alpha) is a specialized analysis tool designed not merely to find stocks that are rising, but to identify "Alpha" assets—Market Leaders that defend their price or rise even under adverse conditions where the market index falls or consolidates. This indicator visualizes the concept of Comparative Relative Strength (RS) and Smart Money accumulation patterns, helping traders capture profit opportunities even during bearish market phases. Key Objectives (Purpose) Alpha Capture: Identifying assets generating 'excess returns' that outperform the market Beta. Smart Money Tracking: Detecting traces of 'institutional buying' and 'accumulation' that defend prices during index plunges. Decoupling Identification: Spotting assets moving on independent catalysts or momentum, regardless of the broader market direction. Stop Hunt Filtering: Distinguishing 'fake drops' where price dips temporarily, but Relative Strength remains intact. Dashboard Guide Interpretation of the information panel (Table) displayed on the chart. Rel. Performance: Shows the excess return compared to the index over the set period. (Positive/Green = Stronger than the market). Decoupling Strength: The correlation coefficient with the index. Lower values (0 or negative) indicate movement independent of market risk. Bullish: The count/rate of rising or limiting losses when the index drops sharply (e.g., < -0.5%). (Gold = Market Crash Leader). Defended: The count/rate of holding support levels when the index shows mild weakness (e.g., < -0.05%). (Gold = Strong Accumulation). Bench. Defense: The defense rate of the comparison benchmark (e.g., TSLA, ETH). Your target asset must be higher to be considered the sector leader. Input Options & Settings Guide You can optimize settings according to your trading style and asset class (Stocks/Crypto). (1) Main Settings Major Index: The baseline market index for comparison. (US Stocks: NASDAQ:NDX or TVC:SPX / Crypto: BINANCE:BTCUSDT) Benchmark Symbol: A competitor within the sector. (e.g., Set NVDA when analyzing Semiconductor stocks). Correlation Lookback: The lookback period for judging decoupling. (Default: 30) Performance Lookback: The number of bars to calculate cumulative returns and defense rates. (Default: 60) (2) Dashboard Thresholds These settings define the criteria for what qualifies as "Defended" or "Bullish". Performance (Max %): Used to find assets that haven't pumped yet. Signals trigger only when Alpha is below this value. Defended Logic: Index Drop Condition: The index must drop by at least this amount to start checking. (e.g., -0.05%) Asset Buffer: How much the asset must outperform the index drop. (Example: If Index drops -1.0% and Buffer is 0.2%, the asset must be at least -0.8% to count as 'Defended'). Bullish Logic: Measures resilience during steeper market dumps (e.g., -0.5% drop) compared to the Defended Logic. Volume Settings: Decides whether to count Defended/Bullish instances only when accompanied by volume above the SMA. (3) Signal Logic Settings (Crucial) Customize conditions to trigger alerts. The choice between AND / OR is crucial. AND: Condition must be met SIMULTANEOUSLY with other active conditions (Conservative/High Certainty). OR: Condition triggers the signal INDEPENDENTLY (Aggressive/Opportunity Capture). Performance: Is the relative performance within the threshold? (Basic Filter). Decoupling: Has the correlation dropped? (Start of independent move). Bullish Rate: Is the Bullish rate high during market dumps? Defended Rate (High): (Recommended) Is there continuous price defense occurring? (Accumulation detection). Defended Rate (Low): (Warning) Has the defense rate broken down? (For Stop Loss). Defended > Benchmark: Is it stronger than the Benchmark (2nd tier)? Volume Spike: Has volume surged compared to the average? (Institutional involvement). RSI Oversold: Is it in oversold territory? (Counter-trend trading). Decoupling Move: Does the current bar show the "Index Down / Asset Up" pattern? Min USD Volume: Transaction value filter (To exclude low liquidity assets).
אינדיקטור Pine Script®
מאת ‎BIGTAKER‎
12
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis. This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality: 🎯 Core Features 1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles: MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends MA5 (21 EMA): Short-term anchor - critical pivot point MA6 (34 EMA): Intermediate support/resistance MA7 (50 EMA): Medium-term bridge between short and long trends MA8-MA9 (89, 100): Transition zone indicators MA10-MA11 (150, 200): Long-term anchors for major trend identification Each MA is fully customizable: Type: SMA, EMA, WMA, TMA, RMA Color, width, and enable/disable toggle 📊 Signal Generation System Three Signal Tiers: Short-Term Signals (ST) Trigger: MA8 (EMA 8) crossing MA21 (EMA 21) Filters Applied: ✅ ATR-based post-cross confirmation (optional) ✅ Momentum confirmation (RSI > 50, MACD positive) ✅ Volume spike requirement ✅ HTF (Higher Timeframe) alignment ✅ Strong candle body ratio (>50%) ✅ Multi-MA confirmation (3+ MAs supporting direction) ✅ Price beyond MA21 with conviction ✅ Minimum bar spacing (prevents signal clustering) ✅ Consolidation filter ✅ Whipsaw protection (ATR-based price threshold) Medium-Term Signals (MT) Trigger: MA21 crossing MA50 Less strict filtering for swing trades Major Signals Golden Cross: MA50 crossing above MA200 (major bullish) Death Cross: MA50 crossing below MA200 (major bearish) 🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover This prevents false signals during low-volatility consolidation.2. Momentum Filters RSI (14) MACD Histogram Rate of Change (ROC) Composite momentum score (-3 to +3) 3. Volume Analysis Volume spike detection (2x MA) Volume classification: LOW, MED, HIGH, EXPL Directional volume confirmation 4. Higher Timeframe Alignment HTF1: 60-minute (default) HTF2: 4-hour (optional) HTF3: Daily (optional) Signals only trigger when current TF aligns with HTF trend 5. Market Structure Detection Break of Structure (BOS): Price breaking recent swing highs/lows Order Blocks (OB): Institutional demand/supply zones Fair Value Gaps (FVG): Imbalance areas for potential fills 📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional): Price Distance from Key MAs vs MA21, MA50, MA200 (percentage) Color-coded: green (above), red (below) MA Alignment Score Calculates % of MAs in proper order 🟢 for bullish alignment, 🔴 for bearish Trend Strength Based on separation between MA21 and MA200 NONE/WEAK/MODERATE/STRONG/EXTREME Consolidation Detection Identifies low-volatility ranges Prevents signals during sideways markets ⚙️ Customization OptionsFilter Toggles: ☑️ Require Momentum ☑️ Require Volume ☑️ Require HTF Alignment ☑️ Use ATR post-cross confirmation ☑️ Whipsaw filter Min bars between signals (default: 5) Dashboard Styling: 9 position options 6 text sizes Custom colors for header, rows, and text Toggle individual metrics on/off 🎨 Visual Elements Signal Labels: ST▲/ST▼ (green/red) - Short-term MT▲/MT▼ (blue/orange) - Medium-term GOLDEN CROSS / DEATH CROSS - Major signals Volume Spikes: Small labels showing volume class + direction Example: "HIGH🟢" or "EXPL🔴" Market Structure: Dashed lines for Break of Structure levels Automatic detection of swing highs/lows 🔔 Alert Conditions Pre-configured alerts for: Short-term bullish/bearish crosses Medium-term bullish/bearish crosses Golden Cross / Death Cross Volume spikes 💡 Key Strengths Institutional-Grade Filtering: Multiple confirmation layers reduce false signals Multi-Timeframe Analysis: Ensures alignment across timeframes Adaptive to Market Conditions: ATR-based thresholds adjust to volatility Comprehensive Dashboard: All critical metrics in one view Highly Customizable: 100+ input parameters Signal Quality Over Quantity: Strict filters prioritize high-probability setups ⚠️ Usage Recommendations Best for: Swing trading and position trading Timeframes: Works on all TFs, optimized for 15m-Daily Markets: Stocks, Forex, Crypto, Indices Signal Frequency: Conservative (quality over quantity) Combine with: Support/resistance, price action, risk management 🔧 Technical Implementation Notes Uses Pine Script v6 syntax Efficient calculation with minimal repainting Maximum 500 labels for performance Security function for HTF data (no lookahead bias) Array-based MA alignment calculation State variables to track signal spacing This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment). The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
אינדיקטור Pine Script®
מאת ‎lohanineeraj‎
RSI Median DeviationRSI Median Deviation – Adaptive Statistical RSI for High-Probability Extremes The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder in 1978 to measure the magnitude of recent price changes and identify potential overbought or oversold conditions. It calculates the ratio of upward to downward price movements over a specified period, scaled to 0-100. However, standard RSI often relies on fixed thresholds like 70/30, which can produce unreliable signals in varying market regimes due to their lack of adaptability to the actual distribution of RSI values. This indicator was developed because I needed a reliable tool for spotting intermediate high-probability bottoms and tops. Instead of arbitrary horizontal lines, it uses the RSI’s own historical median as a dynamic centerline and measures how far the current RSI deviates from that median over a chosen lookback period. The main signals are triggered only at 2 standard deviation (2σ) extremes — statistically rare events that occur roughly 5 % of the time under a normal distribution. I selected 2σ because it is extreme enough to be meaningful yet frequent enough for practical trading. For oversold signals I further require RSI to be below 42, a filter that significantly improved results in my mean-reversion tests (enter on oversold, exit on the first bar the condition is no longer true). The combination of percentile median + standard deviation bands is deliberate: the median is far more robust to outliers than a simple average, while the SD bands automatically adjust to the current volatility of the RSI itself, producing adaptive envelopes that work equally well in ranging and trending markets. Underlying Concepts and Calculations Base RSI: RSI = 100 − (100 / (1 + RS)), RS = average gain / average loss (default length 10). Percentile Median: 50th percentile of the last "N" RSI values (default 28 = 4 weeks) → dynamic, outlier-resistant centerline. Standard Deviation Bands: rolling stdev of RSI (default length 27 = = 4 weeks (almost)) → bands = median ± 1σ / 2σ. Optional Dynamic MA Envelopes: user-selectable moving average (TEMA, WMA, etc., default WMA length 37) for additional momentum context. Trend Bias Coloring Independent of the statistical extremes, the RSI line itself is colored green when above the user-defined Long Threshold (default 60) and red when below the Short Threshold (default 47). This provides an instant bullish/bearish bias overlay similar to classic RSI usage, without interfering with the main 2σ extreme signals. Extremes are highlighted with background color (green for oversold 2σ + RSI<42, magenta for overbought 2σ) and small diamond markers for ultra-extremes (RSI <25 or >85). Originality and Development Rationale The indicator was built and refined through extensive testing on dozens of assets including major cryptocurrencies: (BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL and many more), the Magnificent 7 stocks,, QQQ, SPX, and gold. Default parameters were chosen to deliver consistent profitability in simple mean-reversion setups while maximizing Sortino ratio and minimizing maximum drawdown across this broad universe — ensuring the settings are robust and not overfitted to any single instrument or timeframe. How to Use It Ideal for swing / position trading on the 1h to daily charts (the same defaults work). Oversold (high-probability long): RSI crosses below lower 2σ band AND RSI < 42 → green background → enter long, exit the first bar the condition disappears. Overbought (high-probability short): RSI crosses above upper 2σ band → magenta background → enter short, exit on opposite signal or at median. (Shorts were not tested, it's only an idea) Use the green/red RSI line coloring for quick trend context and to avoid fighting strong momentum. Always confirm with price action and manage risk appropriately. This indicator is not a standalone trading system. Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
אינדיקטור Pine Script®
מאת ‎PaulWegelin‎
2