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Adjustable Average Dollar Volume ( Mashrab)Institutional Shadow Hunter. It’s not just a volume bars; it’s a X-ray for the "Big Money" flow. The Logic: Trading the Vacuum Standard volume tells you how many shares moved. This indicator tells you how much cash was committed. When the market goes quiet, the Shadow appears. When the "Smart Money" strikes, the Shadow vanishes. 1. The Stealth Phase (The Shadow) When you see shading below the Average Line, the stock is in a liquidity vacuum. The Signature: Small, shaded bars indicate "Quiet Accumulation." The Elite Move: Look for the shadow to get as thin as possible—this is the Volatility Contraction (VCP) right before a massive expansion. 2. The Strike (The Breakout) The moment the shading disappears, the stealth phase is over. The Signature: A solid, bright bar towering above the Average Line. The Elite Move: If this "unshaded" bar happens as the price breaks a pivot point, you have a 99% conviction "Home Run" entry. 3. The Bull Test (Institutional Defense) Use the shadow to distinguish between a "crash" and a "rest." The Logic: If the price pulls back but the bars stay shaded and low, no big funds are selling. It’s just a "shakeout" of weak hands before the next leg up.
อินดิเคเตอร์ Pine Script®
โดย highstandart9
MACD Quality Confirmation Bipolar Index V2Indicator: MACD Quality Confirmation Bipolar Index (V2) Overview The MACD Quality Confirmation Bipolar Index V2 is a quantitative tool designed to solve the "False Signal" problem inherent in traditional MACD oscillators. Instead of merely showing momentum direction, this indicator filters MACD signals through a multi-dimensional Quality Engine that analyzes liquidity and price action efficiency. Why Use This? Standard MACD often produces "noisy" crossovers during low-volume consolidation or erratic price movements. This indicator assigns a "Quality Score" (0-100) to every move, visualized as a bipolar histogram. Key Features Liquidity Filtering (Volume Factor): Uses a percentile-based log-volume calculation over a 1-year lookback. It ensures that signals occurring on low institutional participation are suppressed. Efficiency Scoring (Smoothness): Measures the ratio of candle body size to the total range. High-wick "erratic" price action reduces the score, while solid, trend-driven candles increase it. Bipolar Visualization: * Positive Bars: Bullish momentum confirmed by high quality. Negative Bars: Bearish momentum confirmed by high quality. Bright Colors: Indicate "Strong Zones" (Score > 60), where price action and volume are in perfect sync. Smart Crossover Labels: * Green/Red Triangles: High-quality crossovers (Score > 40). Gray Triangles: Low-quality "noise" crossovers. Yellow "!" Mark: A warning for extremely weak signals (Score < 20). How to Trade The Power Setup: Look for a Bullish Cross (Triangle) that coincides with a bar entering the Strong Zone (above 60). This indicates a high-conviction entry. The Noise Filter: If you see a MACD crossover but the histogram remains in the "Active Zone" (below 40) or triggers a "!", exercise caution; the market may be ranging. Trend Strength: Watch for increasing bar heights. If price moves higher but the Quality Score declines, it suggests a "hollow" trend prone to reversal.
อินดิเคเตอร์ Pine Script®
โดย xmzyxa
WT Crossover Strategy Main Chart Indicator# WT Crossover Strategy Main Chart Indicator ## Indicator Overview The WT Crossover Strategy Main Chart Indicator is a trading signal system based on the Wave Trend (WT) indicator, specifically designed for the TradingView platform. This indicator combines WT indicator crossover signals with ATR-based take profit and stop loss calculations, providing traders with clear entry signals and explicit risk management references. ## Core Features ### 1. Trading Signal Identification - WT Indicator Crossover Signals : Identifies potential trend reversals based on golden crosses/death crosses between WT1 and WT2 - EMA Trend Filtering : Optional EMA20 and EMA200 trend filtering to help confirm trend direction - Entry Point Markers : Green triangles mark long entry points, red triangles mark short entry points ### 2. Risk Management Visualization - Fixed-Length SL/TP Lines : Generates 10-bar length dashed lines at entry, marking take profit and stop loss prices - Trigger Status Display : When take profit or stop loss is triggered, dashed lines turn solid and display "Take Profit Triggered" or "Stop Loss Triggered" labels - ATR-Based Calculations : Automatically calculates take profit and stop loss prices using ATR indicator, adapting to different market volatility ### 3. Customizable Parameters - Preset Symbols : Built-in optimized parameters for Gold, Rebar, Fuel Oil, Bitcoin, Ethereum, etc. - Line Length Adjustment : Customizable display length for take profit and stop loss lines - ATR Parameter Adjustment : Adjustable ATR period, stop loss multiplier, and take profit multiplier - Filter Control : Enable or disable zone filtering and trend filtering ## Technical Features - Fixed-Length Lines : Take profit and stop loss lines only display for a fixed length, avoiding chart clutter - Status Change Markers : Intuitively displays take profit/stop loss status through line style changes and labels - Responsive Design : Automatically adapts to different timeframes and symbols - Clear Visual Hierarchy : Reasonable color scheme and marker size ensure clear and readable charts ## Usage Instructions 1. Load the Indicator : Apply the indicator to your chart 2. Select Symbol : Choose your trading symbol from the presets or manually adjust parameters 3. Observe Signals : - Consider going long when green triangles appear - Consider going short when red triangles appear 4. Set Stop Loss : Reference the red dashed line for stop loss placement 5. Set Take Profit : Reference the green dashed line for take profit placement 6. Monitor Status : When dashed lines turn solid and display labels, it indicates take profit or stop loss has been triggered ## Application Scenarios - Trend Trading : Combined with EMA filtering to identify medium-term trends - Swing Trading : Utilizes WT indicator's overbought/oversold characteristics to capture price reversals - Risk Control : Implements scientific risk-reward ratio management through ATR-calculated take profit and stop loss - Strategy Verification : Serves as an independent indicator to verify your trading strategy signals ## Notes - This indicator is for reference only and does not constitute investment advice - It is recommended to use in conjunction with other technical analysis tools - Please thoroughly backtest before live trading to adapt to your trading style - Different symbols may require parameter adjustments for optimal results
อินดิเคเตอร์ Pine Script®
โดย redmagic533
Shadow Mode Simulator ELITE🎮 SHADOW MODE SIMULATOR — FEATURE GUIDE Think of this as GTA with rules instead of random driving. 🏆 1. A / A+ SETUP GRADING (QUALITY CONTROL) Every entry is graded automatically: ✅ A+ Setup (best XP) Must have: • HTF trend aligned • Liquidity sweep OR perfect pullback • High confidence (4–5) ✅ A Setup (acceptable) Must have: • HTF trend aligned • ONE valid strategy condition ⚠️ B Setup (allowed but low reward) Everything else ❌ Invalid Bad RR or no strategy → XP penalty 👉 This trains selectivity (most traders fail here) 🗺️ 2. AUTO SESSION HEATMAP Background turns green during your trading session. This teaches: ✔ When liquidity is real ✔ When NOT to trade No more random midnight scalping. 😵 3. TILT DETECTOR Triggers when: • 2 losses in a row • Or cooldown active Shows: ⚠️ TILT WARNING This is your psychology guardian. (Pros stop trading here. Retail blows accounts here.) 🧠 4. STRATEGY-SPECIFIC VALIDATORS You can toggle: ✅ Liquidity sweep trades ✅ Trend pullback trades If you enter without one → ❌ punished. This builds: ➡️ mechanical discipline ➡️ no random clicking ⏳ 5. EMOTIONAL COOLDOWN SYSTEM After a loss: • You are “locked” for X candles • No rushing back in This rewires revenge trading. 📊 6. LIVE PERFORMANCE ENGINE Tracks: • XP • Level • Win rate • Win/loss streak • Trade count • Tilt state • HTF bias • Setup grade You level up by: 👉 discipline — not profit 📈 LEVEL MEANING (IMPORTANT) Level Skill State 1–2 Impulsive 3–4 Learning patience 5–6 Controlled 7–8 Consistent 9+ Pro-ready You should NOT trade real money seriously before level 7. 🧪 FULL LIVE TUTORIAL — HOW TO USE IT STEP 1 — SETUP Open TradingView Open chart you scalp (NIFTY/BTC/etc) Add the Shadow Mode indicator Set: • Session time • HTF timeframe • Max trades STEP 2 — MARKET OPENS Your job first 10–15 mins: ❌ Do nothing 👀 Just watch structure (This alone fixes overtrading) STEP 3 — WHEN YOU SEE A SETUP Ask: ✔ HTF aligned? ✔ Liquidity sweep or pullback? ✔ RR good? If yes: 👉 Click 📥 ENTRY You’ll see: • Grade (A / A+) • Entry marker STEP 4 — MANAGE LIKE A ROBOT Do NOT interfere. Let: • TP • SL • or invalidation happen STEP 5 — EXIT Click: 📤 EXIT when trade is done System: • Awards XP • Updates streaks • Tracks win rate STEP 6 — IF YOU MESSED UP Click: ❌ RULE BREAK (Takes XP + activates cooldown) This hurts — on purpose. 📆 PERFECT TRAINING DAY LOOKS LIKE: ✅ 1–2 A/A+ trades ✅ maybe 1 loss ✅ stop after cooldown ✅ XP positive Even if P&L is flat. That’s winning. 🚫 COMMON MISTAKES (DON’T DO THESE) ❌ Clicking entry emotionally ❌ Ignoring HTF bias ❌ Overtrading ❌ Chasing candles ❌ Skipping cooldown The simulator is designed to punish these. 🧠 WHY THIS WORKS (SCIENCE SIDE) This trains: • Pattern recognition • impulse control • delayed gratification • process over money Same principles used in pilot & athlete simulators. 🎯 OPTIONAL HARD MODE (WHEN READY) • Max 1 trade/day • Only A+ setups • Higher RR minimum This accelerates mastery.
อินดิเคเตอร์ Pine Script®
โดย lohanineeraj
Predator UAV🛩️ Predator UAV — Indicator Overview Predator UAV is a multi-module market structure & execution assistant. Think of it as 4 sensors on a drone, each scanning a different layer of price: Module What it Sees Why it Matters Module 1 Swing Structure (ZigZag) Trend direction & key levels Module 2 FVGs, Imbalances, Targets, D/W/M levels Liquidity & objectives Module 3 Swing Labels + Candle Patterns Entry timing & confirmation Module 4 VWAP + Slope Dashboard Intraday bias & strength You can turn any module ON/OFF independently. 🧩 MODULE 1 — ZigZag Swing High / Low (Market Structure) What it does Detects Swing Highs (HH / LH) and Swing Lows (HL / LL) Draws: Horizontal structure levels ZigZag connections Broken vs respected levels Shows current swing direction in a mini table How to use it Bullish structure → higher lows forming Bearish structure → lower highs forming Best used for: Bias filtering Stop placement Avoiding counter-trend trades 💡 Pro tip: If price breaks a swing level and holds → structure shift confirmed. 🧱 MODULE 2 — FVGs, Imbalances, Targets & HTF Levels (Liquidity Engine) This is the core execution intelligence. A️⃣ Fair Value Gaps (FVGs) Bullish FVG → price inefficiency below price Bearish FVG → inefficiency above price Options: Extend none / limited / default Limit number on chart Show midpoint equilibrium Usage Price returning into FVG = high-probability reaction zone Best entries = FVG + structure + VWAP bias B️⃣ Imbalances Based on strong displacement candles Shows where price moved too fast Usage Often aligns with: Breakouts Stop runs Momentum continuation C️⃣ Swing Targets Automatically marks next logical target Swing Highs for longs Swing Lows for shorts Usage Use as: Take-profit zones Partial exits Trail stop reference D️⃣ Previous Day / Week / Month Highs & Lows Institutional liquidity magnets Extremely effective on indices & forex Usage Expect: Rejections Stop hunts Reversals near these levels 🔍 MODULE 3 — Swing Labels + Candle Patterns (Entry Timing) This module answers: WHEN to enter? Swing Labels HH / HL / LH / LL printed directly on chart Candle Patterns Detected Hammer Inverted Hammer Bullish Engulfing Bearish Engulfing Hanging Man Shooting Star Each label includes: Pattern name Tooltip explanation (educational) Usage Never trade patterns alone Best when combined with: FVG VWAP Structure level 📐 MODULE 4 — VWAP with Slope Dashboard (Bias & Strength) This is your intraday compass. What it shows Session VWAP VWAP slope (numeric + angle) Direction: ↗ Bullish ↘ Bearish → Neutral Strength: Weak Moderate Strong How to read it Above VWAP + positive slope → long bias Below VWAP + negative slope → short bias Flat slope → scalp only or wait 💡 Pro tip: Strong VWAP slope + FVG pullback = A-grade setup. 🎯 COMPLETE TRADING TUTORIAL (Step-by-Step) Step 1 — Determine Bias Use Module 1 + Module 4 Structure bullish? VWAP slope bullish? ✅ If aligned → look for longs ❌ If mixed → reduce size or wait Step 2 — Identify POI (Point of Interest) Use Module 2 Bullish: Bullish FVG Prior swing low VWAP pullback Bearish: Bearish FVG Prior swing high VWAP rejection Step 3 — Wait for Entry Confirmation Use Module 3 Look for: Engulfing Hammer / Shooting star Swing HL / LH confirmation Step 4 — Define Targets Use Next Target Or Previous Day / Week Highs Partial TP near first liquidity pool Step 5 — Risk Management SL beyond: FVG boundary Swing high/low Trail using: VWAP Structure breaks 🧠 Best Timeframes Purpose TF Bias 15m / 30m Setup 5m Entry 1m–3m Scalping VWAP + FVG only ⚠️ Common Mistakes to Avoid ❌ Trading every FVG ❌ Ignoring VWAP slope ❌ Counter-trend without confirmation ❌ Overloading chart (turn unused modules off) 🚀 Final Thought Predator UAV is not a signal generator. It’s a decision-support system — when multiple modules align, probability shifts in your favor.
อินดิเคเตอร์ Pine Script®
โดย lohanineeraj
Poseidon [hide System]English Description Poseidon Ultimate Fix is a sophisticated hybrid trading strategy designed to adapt seamlessly to changing market conditions. Its core strength lies in its ability to automatically distinguish between trending and ranging markets using the Hybrid Logic Engine, which relies on the Average Directional Index (ADX). When the market shows strong directional momentum (ADX > 25), the system activates Trend Mode. In this phase, it utilizes a Supertrend-based logic to follow the market flow, entering trades on breakouts and holding positions until the trend reverses, thereby maximizing profit potential during volatile periods. Conversely, when volatility is low and the market lacks clear direction (ADX ≤ 25), the system switches to Range Mode. Here, it employs Bollinger Bands to execute mean reversion strategies, buying at the lower band and selling at the upper band to capture smaller, consistent gains within the consolidation. A critical safety feature of this system is its Emergency Escape protocol. If a sudden surge in volatility occurs while a range position is open—threatening a breakout against the trade—the system immediately liquidates the position and switches to a trend-following entry. This mechanism effectively neutralizes the risk of catastrophic losses often associated with reversal strategies during market explosions. Furthermore, the Precise Accounting feature ensures that the dashboard metrics, including Profit Factor and Win Rate, are calculated based on real-time equity changes, providing an accurate reflection of the system's performance without mathematical discrepancies. 日本語による説明 Poseidon Ultimate Fix は、刻々と変化する相場環境に完全適応するために設計された、高度なハイブリッド型トレードシステムです。このシステムの最大の特徴は、ADX（平均方向性指数）を用いたハイブリッド・ロジック・エンジンにあります。これにより、相場が「トレンド状態」にあるか「レンジ状態」にあるかを自動的かつ正確に判別します。強い方向感が出ている局面（ADXが25以上）では、システムは即座にトレンドモードを選択します。ここではスーパートレンド指標に基づいた順張りロジックが作動し、トレンドの発生に合わせてエントリーを行い、相場が反転するその瞬間までポジションを保有し続けることで、利益の最大化を狙います。 一方で、相場の方向感が失われ、ボラティリティが低下した局面（ADXが25以下）では、システムはレンジモードへと切り替わります。このモードではボリンジャーバンドを活用した逆張り戦略を展開し、バンドの下限で買い、上限で売ることで、ボックス相場の中から着実に利益を積み上げます。さらに、このシステムには**緊急脱出機能（エマージェンシー・エスケープ）**という重要な安全装置が搭載されています。もしレンジ逆張りポジションを保有中に突発的な暴騰や暴落が発生した場合、システムは即座に損切りを行い、間髪入れずにトレンド方向への順張りエントリーに切り替えます。これにより、レンジ手法特有の「コツコツ勝ってドカンと負ける」リスクを排除します。加えて、完全な会計処理機能により、ダッシュボード上の勝率やプロフィットファクターは実際の口座残高の増減と1円の狂いもなく一致し、極めて信頼性の高いパフォーマンス分析を提供します。
อินดิเคเตอร์ Pine Script®
โดย Hide_FX_Treader
1
Gamma Regime Indicator [Eloni] ╔══════════════════════════════════════════════════════════════════════════════════════════════╗ ║ GAMMA REGIME / VWAP FLOW ENGINE ║ ╚══════════════════════════════════════════════════════════════════════════════════════════════╝ ┌──────────────────────┬─────────────────────────────┬────────────────────────────┬──────────────┐ │ MARKET STRUCTURE │ FLOW / SENTIMENT │ VOLATILITY / IV │ POSITION │ ├──────────────────────┼─────────────────────────────┼────────────────────────────┼──────────────┤ │ • VWAP Distance │ • Call / Put / Total Vol │ • VIX / IV Level │ • Hold Bars │ │ • Round Levels │ • Z-Score Normalization │ • IV Slope (Up/Down) │ • Entry ≥ 5 │ │ • Prev Close │ • Flow Hot / Flow Cold │ • ATR Compress / Expand │ • Exit ≤ 2 │ │ • ATR % │ • PCR Ratio & Slope │ • Regime Shift Alert │ • Buffer │ │ • Near / Far Zones │ • Extremes Detection │ • Volatility Cycles │ • Reset │ └──────────────────────┴─────────────────────────────┴────────────────────────────┴──────────────┘ =============================================================================== PINNING REGIME (MEAN REVERSION ZONE) =============================================================================== ┌─────────────┐ ┌──────────────┐ ┌──────────────┐ │ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │ └─────────────┘ └──────────────┘ └──────────────┘ Near VWAP / Level Flow = Cold Fade Extremes Near Prev Close ATR = Compress Sell High / Buy Low IV = Down Scalps / Short DTE PCR = Extreme ------------------------------------------------------------------------------- WHERE ----- - VWAP ± Threshold - Gamma Walls - Round Numbers - Prior Day Close INDICATORS ---------- - VWAP - Volume Z-Score - ATR Percent - PCR - VIX STRATEGIES ---------- - VWAP Fade - Range Scalping - Iron Condors - Credit Spreads - Mean Reversion Options AVOID ----- - Expanding Range - High Volume Breaks - Rising IV - News Events =============================================================================== TREND / BREAKOUT REGIME (MOMENTUM ZONE) =============================================================================== ┌─────────────┐ ┌──────────────┐ ┌──────────────┐ │ LOCATION │ ----> │ CONFIRM │ ----> │ EXECUTE │ └─────────────┘ └──────────────┘ └──────────────┘ Far from VWAP Flow = Hot Buy Pullbacks Outside Range ATR = Expand Break and Retest IV = Rising Ride Momentum PCR = Trending ------------------------------------------------------------------------------- WHERE ----- - Range High / Low - VWAP Break - Value Area Break - Opening Range INDICATORS ---------- - VWAP Bands - Flow Z - ATR Expansion - IV Slope - Volume Profile STRATEGIES ---------- - Opening Range Breakout - Trend Pullbacks - Debit Spreads - Futures Momentum - Directional Options AVOID ----- - Fading Strength - Weak Volume Moves - Flat Volatility - Midday Chop =============================================================================== NO EDGE / BUFFER ZONE =============================================================================== VWAP Reset | Session Open | Post-News | Low Volume - Reduce Size - Observe Only - Wait for Alignment - Capital Preservation =============================================================================== REGIME DECISION MATRIX =============================================================================== ┌──────────────┬──────────────┬──────────────┬──────────────┬──────────────┐ │ STRUCTURE │ FLOW │ IV │ PCR │ REGIME │ ├──────────────┼──────────────┼──────────────┼──────────────┼──────────────┤ │ Near │ Cold │ Down │ Extreme │ Pinning │ │ Far │ Hot │ Up │ Trending │ Trend │ │ Mixed │ Neutral │ Flat │ Neutral │ No Edge │ └──────────────┴──────────────┴──────────────┴──────────────┴──────────────┘ =============================================================================== EXECUTION PLAYBOOK =============================================================================== PIN MODE -------- Entry : VWAP / Level Touch + Flow Cold Stop : VWAP Break + ATR Expansion TP : Mid-Range / Mean Reversion Size : Medium to High TREND MODE ---------- Entry : Pullback to VWAP / EMA Stop : Range Reclaim TP : ATR Trail / Structure Size : Scale In NO EDGE ------- Entry : None Goal : Preservation Focus : Patience =============================================================================== CORE SYSTEM LOGIC =============================================================================== PINNING = Liquidity Absorption -> Mean Reversion -> Sell Volatility TREND = Momentum Expansion -> Directional Flow -> Buy Volatility NO EDGE = Regime Unclear -> Capital Protection
อินดิเคเตอร์ Pine Script®
โดย EloniThe
2
Swing FlowSwing Flow is a market structure indicator designed to identify and trade with the prevailing trend by tracking swing highs and swing lows. Based on the principle that markets trending higher print higher highs and higher lows while markets trending lower print lower highs and lower lows, the indicator automatically detects these pivot points and classifies the current structure as Bullish, Bearish, Contracting, or Expanding. When structure is confirmed bullish, the indicator calculates an invalidation level set 2% below the most recent higher low, providing a logical stop placement where the bullish thesis would be negated if price trades through it. A key feature is the Early Warning System, which alerts traders when price breaks above a prior swing high or below a prior swing low before the new pivot is officially confirmed. Because pivot detection requires several bars of confirmation, this early warning gives traders advance notice that structure may be shifting, allowing earlier entries with defined risk rather than waiting for lagging confirmation. When the early warning is active, the indicator displays the potential invalidation level and calculates the risk percentage from current price, helping traders assess whether the reward-to-risk ratio justifies an entry. The indicator marks CME gold open times with vertical lines, highlighting the 6 PM ET session opens that often bring increased liquidity and directional moves. Sunday opens are marked with thicker yellow lines to distinguish the weekly open from regular daily session opens. This feature is particularly useful for gold traders using PAXG as a crypto proxy or GLD in traditional brokerage accounts, though the indicator works on any asset with swing structure. The info table displays comprehensive market data including the current structure state, early warning status, last confirmed swing high and low with color coding to indicate whether each was higher or lower than its predecessor, the invalidation level and risk percentage, and buy zone status which activates when price approaches the higher low in bullish structure. Technical indicators include RSI with 5-zone color coding from oversold to overbought, ADX for trend strength, and directional movement indicators showing whether bulls or bears are dominant. Open interest analysis provides insight into positioning and leverage in crypto markets, displaying OI score with conviction levels, sentiment classification based on OI and price movement relationships, buildup risk assessment combining OI elevation with ATR compression, and leverage pressure scoring that synthesizes multiple factors into a single actionable metric. The final row shows 1-hour and daily 24-period EMAs with green or red backgrounds indicating whether price is above or below each level, providing quick trend confirmation across timeframes. The scoring bars at the top and bottom of the chart offer at-a-glance momentum and direction assessment. The RSI bar at top uses a 5-zone color scheme progressing from dark green in oversold territory through lime, white at neutral, pink, and maroon in overbought territory. The Directional bar at bottom combines the directional movement reading with ADX strength, displaying green tones when the bullish DI is dominant and red tones when bearish DI leads, with color intensity increasing as ADX indicates stronger trending conditions. Swing Flow is designed for traders who want to align with market structure rather than fight it, entering positions near logical support levels with predefined invalidation points that keep losses small when wrong while allowing profits to run when the structure thesis proves correct. The combination of structure detection, early warning alerts, comprehensive market data, and visual scoring bars provides everything needed to identify high-probability setups and manage risk effectively.
อินดิเคเตอร์ Pine Script®
โดย ralis24
4
Dynamic Trend-Based Fibonacci Extension💡 This indicator is a sophisticated, automated technical analysis tool designed to identify high-probability trend continuation setups using the principles of market structure and Fibonacci geometry. By algorithmically detecting "A-B-C" price structures (Pivot -> Impulse -> Retracement), it projects dynamic Fibonacci Extension levels to forecast potential price targets for the next impulsive move (Wave C to D). Unlike static drawing tools, this script adapts to market volatility and features an advanced invalidation engine to keep your charts clean and your risk managed. ✨ Originality and Utility Traders often struggle with the subjectivity of drawing Fibonacci extensions manually. This script solves that by standardizing the identification of market structure using a proprietary ZigZag algorithm enhanced with Average True Range (ATR) for volatility-adjusted sensitivity. Key unique features include: Automated Structure Detection: Instantly spots Bullish (Higher High, Higher Low) and Bearish (Lower Low, Lower High) sequences without manual input. Dynamic Invalidation: The script monitors price action in real-time. If price breaks the invalidation point (Point A), the structure is immediately "grayed out" or deleted, preventing you from trading based on broken setups. Golden Zone Targeting: Highlights the high-probability reversal zone between the 1.5 and 1.618 extensions, often associated with the completion of a measured move. JSON Alerting: Built-in support for algorithmic trading with structured JSON payloads (Entry, TP, SL) ready for webhook integration. 🔬 Methodology and Concepts The core logic operates on a three-step algorithmic sequence: 1. Pivot Identification: The script uses a "ZigZag" approach to find significant swing highs and lows. It employs an ATR-based threshold (or fixed deviation) to filter out market noise, ensuring only significant structural points are considered. 2. Geometric Validation: It evaluates the last three pivot points (A, B, C) to confirm a valid trend structure. Bullish Setup: Point C must be higher than Point A but lower than Point B (a valid retracement). Bearish Setup: Point C must be lower than Point A but higher than Point B. 3. Projection Mathematics: Once a valid ABC structure is locked, the script calculates extension targets using the standard formula: Target = Price C + ((Price B - Price A) * Ratio) . It also supports Logarithmic Scale calculations for assets with exponential growth, such as cryptocurrencies, ensuring proportional accuracy over large price ranges. 🎨 Visual Guide The indicator paints a clear, detailed roadmap on your chart. Here is how to interpret the visual elements: ● Structure Lines Solid Line (A to B): Represents the initial "Impulse" leg of the move. Dashed Line (B to C): Represents the "Retracement" or corrective leg. Green Structures: Indicate Bullish setups (looking for long entries). Red Structures: Indicate Bearish setups (looking for short entries). Gray/Dimmed Structures: These are invalidated setups where the price has breached the Stop Loss level (Point A). ● Extension Levels (Targets) The script projects the following key Fibonacci ratios extending from Point C: 0.618 (Wave 5): An early profit-taking level, often corresponding to a truncated 5th wave. 1.0 (Measured Move): Where the extension equals the length of the initial impulse (AB = CD pattern). 1.272 (Harmonic): A common extension level for corrective structures or deep pullbacks. Golden Zone (1.5 - 1.618): A highlighted fill area. The 1.618 level (Solid Line) is the "Golden Ratio" and is statistically one of the most significant targets in trending markets, often labeled as "Wave 3". ● Labels Points A, B, C: Clearly marks the swing points defining the structure. Right-Side Labels: Display the Ratio (e.g., 1.618) and the exact Price Level for easy order placement. 📖 How to Use This tool is best used as a trend-following system. 1. Trend Identification Wait for a new Solid Colored Structure (Green or Red) to appear. This confirms that a valid ABC retracement has occurred. 2. Entry Strategy The "Trigger" is generally the reversal from Point C. Aggressive traders enter near C, while conservative traders may wait for a breakout above B. Stop Loss: Place your SL just beyond Point A . If price breaks A, the script will automatically gray out the structure, signaling invalidation. 3. Profit Taking Use the projected extension lines as dynamic Take Profit (TP) zones: TP1: 1.0 (The Measured Move). TP2: The Golden Zone (1.5 to 1.618). This is often the strongest target for a Wave 3 impulsive move. 4. Automation For automated traders, create an alert using the "Any alert() function call" option. The script outputs a JSON string containing the Action, Ticker, Entry Price, TP (1.618), and SL (Point A). ⚙️ Inputs and Settings You can fully customize the script to fit your asset class and timeframe: ● ZigZag Detection Pivot Lookback Depth: (Default: 5) Determines how many bars to check left/right for a pivot. Higher numbers find larger, more significant structures. Use ATR-Based Threshold: (Default: True) Adapts the sensitivity to market volatility. ATR Multiplier: (Default: 2.0) Adjusts how much price must reverse to form a new leg. ● Structure Invalidation Enable Structure Invalidation: (Default: True) Toggles the logic that checks if Point A is breached. Invalidation Action: Choose "Gray Out" to keep history visible but dimmed, or "Delete" to remove failed setups entirely. ● Fibonacci Settings Use Logarithmic Scale: Essential for crypto or long-term timeframe analysis. Show 0.618 / 1.0 / 1.272 / 1.618: Toggles individual levels on/off to declutter the chart. Extend Lines Right: Extends the target lines into the future for better visibility. ● Display Settings Keep Last N Structures: Controls how many historical structures remain on the chart to prevent visual clutter. Show Elliott Wave Labels: Adds theoretical wave counts (e.g., "Wave 3") to the ratio labels. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator is grounded in Fractal Market Geometry and Elliott Wave Theory . 1. The Golden Ratio (Phi - 1.618): Mathematically derived from the Fibonacci sequence, the 1.618 ratio is omnipresent in natural growth patterns. In financial markets, it represents the psychological "tipping point" of crowd behavior during an impulsive trend. This script emphasizes the 1.618 extension as the primary target for a "Wave 3," which is academically cited as typically the longest and strongest wave in a 5-wave motive sequence. 2. Harmonic AB=CD Patterns: The inclusion of the 1.0 extension validates the "Measured Move" concept. Statistically, markets often move in symmetrical legs where the secondary impulse (CD) equals the magnitude of the primary impulse (AB). 3. Volatility Normalization (ATR): By utilizing the Average True Range (ATR) for pivot detection, the script adheres to statistical volatility normalization. This ensures that the structures identified are statistically significant relative to the asset's current volatility regime, rather than relying on arbitrary percentage moves which fail across different asset classes. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
อินดิเคเตอร์ Pine Script®
โดย MarkitTick
5
Sequential - Heatmap [R2D2]The Professional Edge in Trend Exhaustion In a market environment saturated with noise, the most valuable tool for a trader is clarity. Standard trend-following indicators often lag, and traditional reversal markers can be premature. The Sequential: Heatmap is a sophisticated trend-exhaustion indicator designed to identify precise market inflection points where a trend has reached its mathematical limit. By focusing on the Exhaustion Phase (counts 7, 8, and 9) and integrating Perfection Logic, this tool filters out "weak" setups, highlighting only the high-probability price flips that professional institutional traders watch. How It Works: The Logic of Exhaustion The Sequential operates on the principle of price symmetry. A "Setup" occurs when a series of at least nine consecutive bars close higher (for a Sell Setup) or lower (for a Buy Setup) than the close of the bar four periods prior. The "Perfected" Difference A standard 9-count is often not enough for a high-conviction entry. This publication-ready script includes Perfection Logic: Perfected Buy (9★) : The low of bar 8 or 9 must be lower than the lows of both bars 6 and 7. Perfected Sell (9★) : The high of bar 8 or 9 must be higher than the highs of both bars 6 and 7. This ensures that the final move in the sequence is a true "climax" before the reversal begins. Step-by-Step Usage Guide Step 1: Monitor the Heatmap As a trend develops, the bars will remain standard. Once the sequence hits count 7, the Heatmap Gradient activates. Faint Color: Momentum is beginning to stretch. Deep Saturated Color: The trend is entering the danger zone for a reversal. Step 2: Identify the 9★ Completion Wait for the number 9 to appear. If a star (★) is attached, the setup is "Perfected". This is your primary signal that the current move is mathematically overextended. Step 3: Define Your Risk with Risk Lines Upon completion of a 9-count, the script draws a solid thin horizontal line: Green Line (Resistance) : The ceiling of the move. Use this as a profit target for longs or a hard stop for shorts. Red Line (Support) : The floor of the move. Use this as a profit target for shorts or a hard stop for longs. Trading Like a Pro: Strategies for Success To use this tool effectively at a professional level, follow these three core tenets: Don’t Front-Run the 9 : Amateur traders often try to "guess" the reversal at count 5 or 6. Professionals wait for the Perfected 9 to close. The heatmap is designed to keep you patient. The "Risk Line" Breaker : If price closes beyond a Risk Line (e.g., closes above the green resistance line), the exhaustion has failed, and a "Setup Trend Extension" is occurring. In this case, exit your reversal trade immediately; the trend is stronger than the exhaustion. Confluence with Higher Timeframes : A Perfected 9 on a 15-minute chart is strong; a Perfected 9 on a 15-minute chart that aligns with a 4-hour Risk Line is institutional grade.
อินดิเคเตอร์ Pine Script®
โดย R2D2_4Life
Global Sessions & Kill Zones [jpkxyz]Global Sessions & ICT Kill Zones Indicator Overview The Global Sessions & ICT Kill Zones indicator is a comprehensive trading tool designed to help traders identify and visualize the most critical time periods in the 24-hour forex and futures markets. This indicator combines traditional trading session analysis with Inner Circle Trader (ICT) Kill Zone methodology, providing traders with a complete picture of when institutional activity and liquidity are at their peak. Trading Theory & Foundation Session-Based Trading The forex market operates 24 hours a day across four major trading sessions: Sydney, Tokyo, London, and New York. Each session has distinct characteristics in terms of volatility, liquidity, and price behavior. Understanding these sessions is crucial because: Volatility Patterns: Each session exhibits unique volatility profiles based on which markets are open and which institutional players are active Liquidity Concentration: Major price movements tend to occur when multiple sessions overlap, as more market participants are active simultaneously Market Structure: Session highs and lows often act as key support and resistance levels that price respects throughout the trading day Time-Based Strategies: Many professional traders structure their strategies around specific sessions that align with their preferred instruments and trading style ICT Kill Zones The Inner Circle Trader (ICT) methodology emphasizes specific time windows called "Kill Zones" - periods when institutional algorithms and smart money are most active. These time windows represent optimal trading opportunities because: Institutional Activity: Banks, hedge funds, and large institutions execute their orders during these predictable time windows Algorithmic Trading: Many institutional algorithms are programmed to operate during these specific periods Liquidity Sweeps: Kill Zones often feature stop hunts and liquidity grabs before directional moves Higher Probability Setups: Price is more likely to respect technical levels and follow through on setups during these periods The four ICT Kill Zones are: Asian Kill Zone (00:00-03:00 UTC): Early Asian session institutional activity London Kill Zone (07:00-10:00 UTC): London open and European institutional entry New York Kill Zone (12:00-14:00 UTC): New York open and North American institutional entry London Close Kill Zone (15:00-17:00 UTC): European session close and position squaring What This Indicator Visualizes Trading Session Boxes The indicator draws high-to-low range boxes for each major trading session: Sydney Session (21:00-06:00 UTC): Captures the Australian and early Asian trading activity Tokyo Session (00:00-09:00 UTC): Represents the main Asian trading period London Session (08:00-17:00 UTC): Covers the European trading hours New York Session (13:00-22:00 UTC): Encompasses North American trading activity Each session box displays: The session's high and low price levels Customizable colored borders and fills Labels showing the exact high and low values Real-time updates as price moves within the active session Session Overlaps The indicator automatically identifies and highlights all session overlaps with distinct colored boxes: Sydney/Tokyo Overlap: Asian liquidity concentration Tokyo/London Overlap: Asian-European transition period London/New York Overlap: The most volatile period with maximum liquidity Sydney/New York Overlap: Late US session into early Asian session These overlaps are crucial because they represent periods of increased liquidity when multiple major markets are operating simultaneously, often leading to significant price movements and breakouts. ICT Kill Zones Kill Zones are displayed as vertical background highlights that span the entire chart height during their active periods: Visual clarity: Semi-transparent colored backgrounds that don't obstruct price action Label identification: Each Kill Zone is labeled at its start for easy recognition Overlay capability: Kill Zones overlay on top of session boxes, allowing you to see both simultaneously Independent control: Each Kill Zone can be toggled on/off individually How Traders Can Use This Indicator Entry Timing Wait for Kill Zones: Use Kill Zones as your primary trading windows to increase the probability of institutional support for your trades Session Boundaries: Look for breakouts or reversals at session open/close times when new participants enter the market Overlap Periods: Focus on high-conviction setups during session overlaps when liquidity is highest Support & Resistance Session Highs/Lows: Previous session highs and lows often act as key support/resistance levels Sweep Setups: Watch for price to sweep session highs/lows during Kill Zones, then reverse (liquidity grab) Range Trading: Trade within session ranges during low-volatility periods, breakout during overlaps Risk Management Volatility Awareness: Adjust position sizing based on which session is active (London/NY overlap = highest volatility) Stop Placement: Position stops outside of key session levels to avoid being caught in normal intraday ranges Time-Based Exits: Consider exiting or tightening stops as sessions close and liquidity decreases Strategy Development Session-Specific Strategies: Develop different approaches for different sessions based on your instrument's behavior Kill Zone Confirmation: Require setups to occur within Kill Zones for higher probability trades Backtesting Framework: Use historical session and Kill Zone data to backtest time-based strategies Full Customizability Session Customization Every aspect of each trading session can be customized: Toggle Visibility: Show/hide any session independently Time Adjustment: Modify start and end hours to match your broker's server time or personal preference Color Schemes: Customize box colors and border colors for each session Transparency: Adjust fill transparency to see price action clearly while maintaining visual reference Kill Zone Customization Complete control over ICT Kill Zone display: Individual Toggles: Enable or disable each Kill Zone independently based on your trading style Color Selection: Choose distinct colors for each Kill Zone (default: Green, Blue, Yellow, Red) Transparency Control: All Kill Zones use 70% transparency by default, fully customizable Label Display: Toggle Kill Zone labels on/off via the main label settings Visual Preferences Border Control: Toggle session box borders on/off for cleaner charts Label Size: Choose from tiny, small, normal, large, huge, or auto-sizing for all labels Label Colors: Customize label background and text colors to match your chart theme Box Transparency: Set individual transparency levels for each session and overlap Overlap Customization All four session overlaps have independent color controls: Sydney/Tokyo Overlap Tokyo/London Overlap London/New York Overlap Sydney/New York Overlap Technical Features Midnight Handling The indicator uses advanced hour-based detection that seamlessly handles sessions crossing midnight (like Sydney's 21:00-06:00 UTC timeframe) without breaking the visualization into separate boxes. Real-Time Updates Active Sessions: Boxes extend and update in real-time as price moves during active sessions High/Low Tracking: Session highs and lows are continuously updated until the session closes Kill Zone Detection: Background colors appear/disappear precisely at Kill Zone boundaries Clean Chart Integration Minimal Clutter: Only shows active and recently completed sessions Overlay Friendly: Works seamlessly with other indicators and doesn't obstruct price action Performance Optimized: Efficient code that doesn't slow down chart rendering Ideal For Forex Traders: Track the four major forex sessions and plan trades around overlaps Futures Traders: Identify when specific futures markets have peak activity ICT Students: Implement Inner Circle Trader concepts with visual Kill Zone references Session Traders: Build strategies around specific session characteristics Scalpers & Day Traders: Focus on high-liquidity periods for tighter spreads and better fills Swing Traders: Use session levels as key support/resistance for multi-day trades Best Practices Start Simple: Enable only the sessions and Kill Zones relevant to your instruments Color Code Strategically: Use colors that stand out on your chart theme but don't overwhelm Combine with Price Action: Use session levels and Kill Zones as context, not as standalone signals Match Your Timezone: Adjust session times if your broker uses non-UTC server time Focus on Overlaps: Pay special attention to London/New York overlap for highest-probability setups Journal Performance: Track which sessions and Kill Zones work best for your strategy Conclusion The Global Sessions & ICT Kill Zones indicator provides traders with institutional-grade time-based analysis in a highly customizable, visually clear format. By combining traditional session analysis with modern ICT Kill Zone theory, traders gain a comprehensive understanding of when markets are most likely to move and where key levels are established. Whether you're a scalper looking for the highest liquidity periods or a swing trader using session levels for support/resistance, this indicator adapts to your needs while keeping your charts clean and professional. Trade smarter by trading when the market is most active and predictable.
อินดิเคเตอร์ Pine Script®
โดย GLITCHCAPITAL
TREND PULL BACK BUY SELL//@version=5 indicator("Clean Signal Bot 24/7 ($250 SL)", overlay=true) // ===== SETTINGS ===== riskDollars = 250.0 pointValue = syminfo.pointvalue // ===== INDICATORS ===== fastEMA = ta.ema(close, 9) slowEMA = ta.ema(close, 21) rsi = ta.rsi(close, 14) // ===== TREND ===== bullTrend = fastEMA > slowEMA bearTrend = fastEMA < slowEMA // ===== PULLBACK ===== pullbackLong = close < fastEMA and close > slowEMA pullbackShort = close > fastEMA and close < slowEMA // ===== CANDLE CONFIRM ===== bullCandle = close > open bearCandle = close < open // ===== ENTRY SIGNALS ===== buySignal = bullTrend and pullbackLong and bullCandle and rsi > 50 sellSignal = bearTrend and pullbackShort and bearCandle and rsi < 50 // ===== TRADE STATE ===== var bool inLong = false var bool inShort = false var float entry = na var float stop = na riskPoints = riskDollars / pointValue // ===== ENTER ===== if buySignal inLong := true inShort := false entry := close stop := entry - riskPoints if sellSignal inShort := true inLong := false entry := close stop := entry + riskPoints // ===== EXIT ===== exitLong = inLong and (close <= stop or bearTrend) exitShort = inShort and (close >= stop or bullTrend) if exitLong inLong := false if exitShort inShort := false // ===== CANDLE HIGHLIGHT ===== barcolor( buySignal ? color.lime : sellSignal ? color.red : exitLong or exitShort ? color.yellow : na) // ===== LABELS ===== if buySignal label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.lime, textcolor=color.black) if sellSignal label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white) if exitLong or exitShort label.new(bar_index, close, "EXIT", style=label.style_label_left, color=color.yellow, textcolor=color.black) // ===== ALERTS ===== alertcondition(buySignal, "BUY ENTRY", "BUY SIGNAL") alertcondition(sellSignal, "SELL ENTRY", "SELL SIGNAL") alertcondition(exitLong or exitShort, "EXIT TRADE", "EXIT SIGNAL")
อินดิเคเตอร์ Pine Script®
โดย chescocampanile
The Rumers Box Strategy+ v1.5.0The Rumers Box Strategy - Visual Trading Setup Analyzer This indicator implements Doug Rumers' Box Strategy methodology for identifying high-probability trading setups based on historical price ranges and opening candle analysis. Key Features: Customizable Box Construction - Define a "Box Date" to establish the high/low range that forms your trading framework 8:45 Candle Analysis - Automatically identifies and validates the opening candle on your specified "Analysis Date" 20% Rule Validation - Visual confirmation when the 8:45 candle range meets the 20% threshold of the box range Entry Zone Highlighting - Clear visual marking of the top 20% (short zone) and bottom 20% (long zone) of the box 50% Midpoint Reference - Yellow midline for price action analysis Multi-Timezone Support - Works with 12 major timezones including US, European, Asian, and Pacific markets Comprehensive Info Panel - Real-time display of all key metrics including box range, thresholds, and setup validity Historical Analysis - Time-based positioning allows analysis of any historical date without bar index limitations How to Use: Select your timezone Choose the Box Date (the date that establishes your high/low range) Choose the Analysis Date (the date to check the 8:45 candle) The indicator will display a ✓ or ✗ showing whether the setup meets the 20% rule Trade within the highlighted entry zones when valid setups appear Perfect for: Day traders and swing traders using systematic, rule-based entry strategies on NAS100, ES, and other index futures.
อินดิเคเตอร์ Pine Script®
โดย rsprice
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
อินดิเคเตอร์ Pine Script®
โดย BOSWaves
Iron Fly 0DTE StrategyOverview This indicator identifies optimal entry and exit points for 0DTE (zero days to expiration) Iron Fly options strategies on SPX. It uses a combination of DMI (Directional Movement Index) regime classification and ATR (Average True Range) volatility measurement to determine when market conditions favor non-directional premium selling. An Iron Fly is a neutral options strategy that profits when price stays near a central strike. This indicator automates the decision of WHEN to enter and at WHAT strikes, based on quantifiable market conditions rather than discretionary judgment. How It Works Market Regime Classification The core logic uses DMI and ADX to classify market conditions into four regimes: SAFE - ADX below 25 AND DI Spread below 20: Low directional momentum, ideal for Iron Flies CAUTION - ADX below 35 AND DI Spread below 30: Moderate conditions, wider wings recommended WARNING - ADX below 45 OR DI Spread below 45: Elevated risk, no new entries NO ENTRY - ADX above 45 AND DI Spread above 45: Strong trend, avoid premium selling The DI Spread is calculated as the absolute difference between DI+ and DI-. A low spread indicates balanced buying and selling pressure, which favors range-bound price action. Dynamic Wing Width Calculation Wing width (the distance between the short strikes and protective long strikes) is calculated dynamically using: Wing Width = ATR(14) × Multiplier × Late Session Factor The multiplier varies by Entry Aggressiveness setting (5x to 7x ATR). Wings are widened by 20% in CAUTION regime for additional protection. Late in the session (after 50% elapsed), wings narrow by up to 20% as less time remains for adverse moves. Wing width is bounded between 15 and 50 points and rounded to the nearest 5-point strike. Entry Logic New positions open when: Market regime is SAFE or CAUTION Current open positions are below the maximum limit Daily trade count is below the daily limit Price has moved sufficiently from the last entry (trigger distance) No existing position at the calculated strike Exit Logic Positions close when price exceeds a dynamic exit threshold: Exit Threshold = Wing Width × (Base Exit Percent + Time Decay Bonus) The Base Exit Percent varies by Exit Aggressiveness (50% to 80%). The Time Decay Bonus increases throughout the session (0% to 25%), allowing wider tolerance as theta decay works in your favor. What Makes This Original This indicator differs from simple moving average or RSI-based approaches by: Using DMI spread (not just ADX) to measure directional balance, which better identifies consolidation Dynamically sizing wings based on current ATR rather than fixed widths Adjusting exit tolerance based on session progress to account for theta decay Implementing regime-based position management that automatically steps aside during trending conditions Providing complete strike calculations for the 4-leg Iron Fly structure Settings Guide Strategy Settings Entry Aggressiveness - Controls how often new trades open. LOW: fewer trades, wider wings, more selective. MID: balanced. HIGH: more trades, tighter wings. Exit Aggressiveness - Controls how long positions are held. LOW: exits early at 50% of wing. MID: exits at 65% plus time bonus. HIGH: holds longer, exits at 80%. Max Concurrent Flies - Maximum simultaneous open positions (1-5). Start with 1-2. Max Trades Per Day - Daily limit to prevent overtrading (3-30). Session Settings Session Start/End - Trading hours in Eastern Time. Default 10:00-16:00. How to Use Add indicator to SPX chart (1-5 minute timeframe recommended) Create alert with condition "Any alert() function call" When OPEN alert fires, execute the 4-leg Iron Fly in your broker at the specified strikes When CLOSE alert fires, close the position Always verify the premium collected justifies the risk before entering Alert Messages OPEN alerts provide: Strike price, wing width, and all four leg strikes (short call, short put, long call, long put). CLOSE alerts provide: Strike price and exit reason (price exceeded threshold or session ended). Status Panel The on-chart panel displays: Positions - Current open count vs maximum Market - Current regime classification Wings - Current calculated wing width Exit @ - Current exit threshold distance Trades - Daily trade count vs limit Limitations Designed specifically for SPX 0DTE options; may not suit other underlyings Does not account for bid-ask spreads or execution slippage Market regime classification may lag during rapid regime changes Past performance of signals does not guarantee future results Requires manual execution in your options broker Best Conditions This strategy performs best during: Range-bound, choppy market conditions Normal volatility days (avoid major news events) Regular trading hours (10 AM - 4 PM ET) Avoid using during: Strong trending days FOMC announcements, CPI releases, earnings Pre-market or after-hours Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Options trading involves substantial risk of loss Iron Flies can result in losses up to the wing width minus premium collected Past indicator signals do not guarantee future performance Always understand your maximum risk before entering any trade Never risk more than you can afford to lose Conduct your own research and consider consulting a financial advisor
อินดิเคเตอร์ Pine Script®
โดย luiscaballero
Market Internals SPY[TP]# Market Internals SPY Dashboard - TradingView Publication ## 📊 Overview **Market Internals SPY ** is a comprehensive multi-factor market sentiment dashboard designed specifically for SPY (S&P 500 ETF) traders. This indicator combines four powerful market breadth signals into one easy-to-read interface, helping traders identify high-probability setups and avoid false breakouts. --- ## 🎯 What Makes This Indicator Unique? Unlike single-indicator tools, this dashboard synthesizes **multiple market internals** to provide confluence-based trading signals: - **CPR (Central Pivot Range)** - Institutional pivot levels - **VIX (Volatility Index)** - Fear gauge - **Put/Call Ratio** - Options sentiment with dynamic crossover alerts - ** USI:ADD (Advance/Decline Line)** - Market breadth strength All presented in a clean, real-time dashboard with visual alerts directly on your chart. --- ## 📈 Key Features ### 1. **Static Daily CPR Levels** - Automatically plots Top CPR, Pivot, and Bottom CPR - Levels remain fixed throughout the trading day (no repainting) - **Trend Bias Indicator**: Green = Current Pivot > Previous Pivot (Bullish structure) ### 2. **Put/Call Ratio Crossover System** - 10-period SMA smoothing for cleaner signals - **Bullish Signal** (Green background): Put/Call crosses below SMA - Indicates decreasing hedging activity (bullish) - **Bearish Signal** (Red background): Put/Call crosses above SMA - Indicates increasing hedging activity (bearish) ### 3. **Price/Breadth Divergence Detection** - **Yellow Candles**: Highlight when price and USI:ADD diverge - Price rising but USI:ADD falling = Potential reversal - Price falling but USI:ADD rising = Possible bottom ### 4. **Comprehensive Real-Time Dashboard** A top-right table displaying: - **CPR Trend Bias**: Bullish/Bearish structure - **VIX Level**: Current value + directional bias - **Put/Call Ratio**: Live value + trend arrows - **AD Line**: Breadth strength with directional indicators ### 5. **Intelligent Bar Coloring** - **Green bars**: USI:ADD rising (breadth improving) - **Red bars**: USI:ADD falling (breadth deteriorating) - **Yellow bars**: Divergence warning (potential reversal) --- ## 🔧 How to Use ### Setup Instructions 1. **Add to Chart**: Apply to SPY on your preferred intraday timeframe (5m, 15m, 30m, 1H) 2. **Configure Symbols** (if needed): - Default settings work for most platforms - If "PCC" doesn't load, try: `PCCR`, `INDEX:PCC`, `USI:PCC`, or `CBOE:PCC` - Ensure you have market internals data access ( USI:ADD , VIX) ### Trading Signals #### 🟢 **Bullish Confluence** (High-Probability Long Setup) - CPR Trend = BULLISH - VIX falling or low (<20) - Put/Call below SMA (or green background crossover) - USI:ADD rising (green bars) - **Entry**: Look for bullish price action at support levels #### 🔴 **Bearish Confluence** (High-Probability Short Setup) - CPR Trend = BEARISH - VIX rising or elevated (>25) - Put/Call above SMA (or red background crossover) - USI:ADD falling (red bars) - **Entry**: Look for bearish rejection at resistance #### ⚠️ **Divergence Warning** - Yellow candles indicate mismatch between price and breadth - Consider profit-taking or reversals when divergence appears at extremes ### Best Practices - **Multi-Timeframe Confirmation**: Check higher timeframes (4H, Daily) for trend alignment - **Volume Confirmation**: Combine with volume analysis for stronger signals - **Risk Management**: Always use stop losses; no indicator is 100% accurate - **News Awareness**: Be cautious around major economic releases --- ## 📚 Understanding the Components ### CPR (Central Pivot Range) Traditional floor trader pivot levels calculated from previous day's High, Low, Close: - **Pivot (PP)** = (High + Low + Close) / 3 - **Top CPR (TC)** = (PP - BC) + PP - **Bottom CPR (BC)** = (High + Low) / 2 ### VIX (Volatility Index) - **< 15**: Complacency, potential for sudden moves - **15-20**: Normal conditions - **20-30**: Elevated uncertainty - **> 30**: High fear, potential bottoming process ### Put/Call Ratio - **< 0.7**: Excessive optimism (contrarian bearish) - **0.7-1.0**: Balanced sentiment - **> 1.0**: Defensive positioning (contrarian bullish potential) ### USI:ADD (NYSE Advance/Decline) - **> 0**: More stocks advancing than declining (bullish breadth) - **< 0**: More stocks declining than advancing (bearish breadth) - **Extreme readings** (±2000+): Potential exhaustion --- ## ⚙️ Customization Options ### Input Parameters - **AD Line Symbol**: Default "ADD" (try "ADVN" or "NYSE:ADD" if needed) - **VIX Symbol**: Default "VIX" (try "CBOE:VIX" if needed) - **Put/Call Symbol**: Default "PCC" (alternatives listed above) ### Color Scheme - Blue: CPR levels - Purple: Pivot point - Green: Bullish signals/backgrounds - Red: Bearish signals/backgrounds - Yellow: Divergence warnings --- ## 💡 Pro Tips 1. **Wait for Confluence**: Don't trade on a single indicator - wait for 3+ signals to align 2. **Use CPR as Dynamic S/R**: Price tends to react at TC and BC levels 3. **Watch the Crossovers**: Put/Call crossovers often precede significant moves 4. **Monitor Divergences**: Yellow candles at key levels are high-value signals 5. **Combine with Price Action**: This tool confirms direction - you still need entry triggers --- ## ⚠️ Limitations & Disclaimers - Requires **premium data** for USI:ADD and VIX on most platforms - Best suited for **intraday SPY trading** (may adapt to other indices) - **Not a standalone system** - use with proper risk management - Past performance does not guarantee future results - Always backtest before live trading --- ## 🎓 Example Scenario **Bullish Setup**: - 9:45 AM EST: Price pulls back to Bottom CPR - Dashboard shows: ✅ Bullish CPR Bias, ✅ VIX 16.5 (falling), ✅ Put/Call 0.68 ⬇️ Bull, ✅ USI:ADD +850 ⬆️ - Green background flashes (Put/Call crossunder) - **Action**: Enter long at BC with stop below TC of previous day --- ## 📊 Ideal Timeframes - **Primary**: 5-minute, 15-minute (day trading) - **Secondary**: 30-minute, 1-hour (swing entries) - **Confirmation**: Daily chart for trend context --- ## 🔄 Updates & Support This indicator is actively maintained. If you encounter symbol loading issues: 1. Check your data provider includes market internals 2. Try alternative symbols in inputs 3. Ensure you're using a premium TradingView plan (if required) --- ## 📝 Version Information - **Version**: 5 (Pine Script v5) - **Type**: Overlay Indicator - **Author**: tapaspattanaik - **Category**: Market Internals / Breadth Analysis --- ## 🏆 Final Thoughts This indicator is designed for **serious traders** who understand that edge comes from confluence, not single signals. By combining institutional pivot levels with real-time market internals, you gain a significant advantage in reading market sentiment and timing entries with precision. **Remember**: The best trades happen when multiple independent factors align. Use this dashboard to find those moments. --- ## 📌 How to Add This Indicator 1. Open TradingView and navigate to Pine Editor 2. Copy the complete script code 3. Click "Add to Chart" 4. Configure symbols if needed (see Setup Instructions above) 5. Adjust position/colors to your preference --- **Happy Trading! 📈** *This indicator is for educational purposes. Always manage risk appropriately and never risk more than you can afford to lose.* --- ### Tags `#SPY` `#MarketInternals` `#CPR` `#VIX` `#PutCallRatio` `#BreadthAnalysis` `#DayTrading` `#SwingTrading` `#TechnicalAnalysis` `#PivotPoints`
อินดิเคเตอร์ Pine Script®
โดย Tapaspattanaik
Kinetic Regression VectorKinetic Regression Vector (KRV) is a non-repainting direction and compression indicator designed for one job: help you avoid low-quality markets and catch high-quality expansion moves when the odds improve. Most “prediction” tools either repaint, lag, or pretend they can call exact future prices. KRV doesn’t do that. Instead, it focuses on what actually improves trading outcomes: regime quality, directional bias, and compression-to-expansion timing — all shown visually and locked on closed candles. What goes into it (what it’s built from) KRV fits a smooth model to the last N bars of price action and projects that structure forward as a “vector tunnel.” It uses three core ideas: Weighted Least Squares (WLS) regression Recent candles matter more than older ones. That means the model reacts faster when conditions change (important for sector shifts and fast ETF rotations), without using lagging moving averages. Quality gating with R² The indicator measures whether the market has been clean and structured recently. If structure is weak (chop/noise), KRV effectively turns itself “off” so you’re not trading randomness. Model-based uncertainty bands (SEE) with a volatility fallback Instead of sizing the tunnel only by volatility, KRV can size it by how consistent the model has been. When the model is unreliable, the tunnel widens. When it’s reliable, the tunnel tightens. If you prefer classic behavior, ATR-based band sizing is available as a fallback. What makes it different (why it stands out) KRV stands out because it combines features that are usually not together in one tool: Adaptive, model-driven tunnel width (based on model error when SEE is enabled), instead of a fixed volatility channel that can look “confident” even in messy regimes. Directional bias that is not a moving-average lag (it’s based on the fitted structure’s slope). A compression trigger that is self-relative (pinch compares current band width to its own historical baseline, not an arbitrary threshold). Strict non-repaint design (signals are computed from closed candles so the chart doesn’t lie after the fact). Forward visualization (the tunnel projects into the future as a reference map, with uncertainty naturally increasing forward). What you see on the chart Vector Tunnel: the projected path and the expected noise range around it. Color: bullish or bearish bias based on the current slope of the model. Pinch: compression detected (band width unusually tight versus its baseline). Bull/Bear Bullets: confirmed pinch signals aligned with directional bias. Target Marker: a forward reference point based on the current structure (not a guarantee, but a useful reference level). How to use it (simple, repeatable) Use it as a three-step decision tool: Gate (participate or stand down): If the model is not “on” (quality is weak), treat it as a “stay out” signal. This is the most important feature for avoiding bad trades. Direction (bias): When the model is on, follow the bias. Bull bias means your edge is on longs. Bear bias means you avoid longs (or only take bearish setups if you trade that way). Pinch + confirmation (timing): A pinch means pressure is building. The bullet marks “compression + bias.” For best results, act after you see expansion confirmation (breakout candle / range expansion / level break) rather than treating the bullet as a blind entry. Best features (why traders keep it) Non-repainting signals locked to closed bars Clear “stay out” logic during chop Direction bias that responds faster than classic lagging tools Compression detection designed to highlight expansion windows Forward tunnel for planning risk, entries, and exits visually Best markets and timeframes KRV performs best on liquid ETFs and liquid large-cap stocks, and on sector themes like energy where regime shifts matter. Recommended timeframes: 4H: best for timing entries and avoiding noise Daily: best for swing direction and higher-quality setups Weekly: best for big-picture regime filtering (stay out vs participate) Monthly can be used for macro regime, but not for timing. What to expect (honest expectations) KRV is not a guaranteed predictor of exact prices. Its edge comes from: filtering out weak/noisy regimes, identifying compression that often precedes expansion, and aligning that setup with a directional bias, without repainting.
อินดิเคเตอร์ Pine Script®
โดย Finntech1
Gold TBS Support/Resistance Zones🔶 Gold TBS Support & Resistance Zones Gold TBS Support & Resistance Zones is a manual price-zone based indicator designed to help traders clearly identify high-probability support and resistance areas on the chart. It is especially optimized for Gold (XAUUSD) and performs best on the 15-minute timeframe. This tool focuses on clarity, structure, and discipline, allowing traders to align entries, exits, and risk management around well-defined price zones. 📌 Key Features ✅ Up to 30 customizable support & resistance zones ✅ Zones automatically extend across the chart for long-term reference ✅ Dynamic color response based on current price location ✅ Clean and minimal visual design ✅ Works smoothly without repainting ✅ Fully manual control over zone levels ⏱ Best Timeframe Recommended: 15-Minute (M15) Can also be used on 3m / 5m for entries after bias confirmation from 15m Higher timeframes can be used for positional reference 🟩🟥 How Zones Work Green shading → Price is trading above the zone (potential support) Red shading → Price is trading below the zone (potential resistance) Neutral when price is inside the zone These zones act as: Reaction areas Entry confirmation zones Target and stop-loss reference points 🛠 How to Use (Simple Workflow) Mark Key Levels Update zone High & Low values using the input panel Use important swing highs/lows, weekly levels, or session ranges Directional Bias Trade buy setups near support zones Trade sell setups near resistance zones Avoid trades in the middle of zones Entry Confirmation Use your preferred entry confirmation: Candle close Price rejection Nagarjuna indicator Risk Management Place stop-loss beyond the zone Targets can be next zone above or below ⚙️ Inputs & Customization 🔹 Enable / disable individual zones 🔹 Update zone prices manually anytime 🔹 Show or hide all zones instantly 🔹 Control border visibility and transparency 🔹 Separate fill transparency for support and resistance This makes the indicator future-proof, as levels can be updated whenever market structure changes. 🎯 Best Use Case Intraday trading on Gold Structure-based trading Traders who prefer clear levels over lagging indicators Works well with trend-following or pullback strategies ⚠️ Important Notes This indicator does not give buy/sell signals It is designed to support decision-making, not replace strategy Always combine with proper risk management 🧠 Trading Philosophy “Price respects structure. Discipline comes from knowing where not to trade.”
อินดิเคเตอร์ Pine Script®
โดย Nagarjunabk
Bubble Risk ModelThe question of whether markets can be objectively assessed for overextension has occupied financial researchers for decades. Charles Kindleberger, in his seminal work "Manias, Panics, and Crashes" (1978), documented that speculative bubbles follow remarkably consistent patterns across centuries and asset classes. Yet identifying these patterns in real time remains notoriously difficult. The Bubble Risk Model attempts to address this challenge not by predicting crashes, but by systematically measuring the statistical characteristics that historically precede fragile market conditions. The theoretical foundation draws from two distinct research traditions. The first is the work on regime-switching models pioneered by James Hamilton (1989), who demonstrated that economic time series often exhibit discrete shifts between different behavioral states. The second is the literature on tail risk and market fragility, most notably articulated by Nassim Taleb in "The Black Swan" (2007), which emphasizes that extreme events carry disproportionate importance and that traditional risk measures systematically underestimate their probability. Rather than attempting to build a probabilistic model requiring assumptions about underlying distributions, the Bubble Risk Model operates as a deterministic state-inference system. This distinction matters. Lawrence Rabiner's foundational tutorial on Hidden Markov Models (1989) established the mathematical framework for inferring hidden states from observable data through Bayesian updating. The present model borrows the conceptual architecture of states and transitions but replaces probabilistic inference with rule-based logic. States are not computed through forward-backward algorithms but inferred through deterministic thresholds. This trade-off sacrifices theoretical elegance for practical robustness and interpretability. The measurement framework rests on four empirically grounded components. The first captures trailing twelve-month returns, reflecting the well-documented momentum effect identified by Jegadeesh and Titman (1993), who found that securities with strong past performance tend to continue outperforming over intermediate horizons. The second component measures trend persistence as the proportion of positive daily returns over a quarterly window, drawing on the research by Campbell and Shiller (1988) showing that price trends exhibit serial correlation that deviates from random walk assumptions. The third normalizes the distance between current prices and their long-term moving average by volatility, addressing the cross-sectional comparability problem noted by Fama and French (1992) when analyzing assets with different variance characteristics. The fourth component calculates return efficiency as the ratio of returns to realized volatility, a concept related to the Sharpe ratio but stripped of distributional assumptions that often fail in practice. The aggregation methodology deliberately prioritizes worst-case scenarios. Rather than averaging component scores, the model uses quantile-based aggregation with an explicit tail penalty. This design choice reflects the asymmetric error costs in bubble detection: failing to identify fragility carries greater consequences than occasional false positives. The approach aligns with the precautionary principle advocated by Taleb and colleagues in their work on fragility and antifragility (2012), which argues that systems exposed to tail risks require conservative assessment frameworks. Normalization presents a particular challenge. Raw metrics like year-over-year returns are not directly comparable across asset classes with different volatility profiles. The model addresses this through percentile ranking over multiple historical windows, typically two and five years. This dual-window approach provides regime stability, preventing the normalization from adapting too quickly during extended bull markets where elevated readings become statistically normal. The methodology draws on the concept of lookback bias documented by Lo and MacKinlay (1990), who demonstrated that single-window statistical measures can produce misleading results when market regimes shift. The state machine introduces controlled inertia into the system. Once the model enters a particular state, transitions become progressively more difficult as the state matures. This transition resistance mechanism prevents rapid oscillation near threshold boundaries, a problem that plagues many indicator-based systems. The concept parallels the hysteresis effects described in economic literature by Dixit (1989), where systems exhibit path dependence and resist returning to previous states even when underlying conditions change. Volatility regime detection adds contextual interpretation. Research by Engle (1982) on autoregressive conditional heteroskedasticity established that volatility clusters, with periods of high volatility tending to follow other high-volatility periods. The model scales its maturity thresholds inversely with volatility: in calm markets, states mature slowly and persist longer; in turbulent markets, information decays faster and states become more transient. This adaptive behavior reflects the empirical observation that low-volatility environments often precede significant market dislocations, as documented by Brunnermeier and Pedersen (2009) in their work on liquidity spirals. The confidence metric addresses internal model consistency. When individual components diverge substantially, the overall score becomes less reliable regardless of its absolute level. This approach draws on ensemble methods in machine learning, where disagreement among predictors signals increased uncertainty. Dietterich (2000) provides theoretical justification for this principle, demonstrating that ensemble disagreement correlates with prediction error. Distribution drift detection monitors whether the model's calibration remains valid. By comparing recent score distributions to longer historical baselines, the model can identify when market structure has shifted sufficiently to potentially invalidate its historical percentile rankings. This self-diagnostic capability reflects the concern raised by Andrews (1993) about parameter instability in time series models, where structural breaks can render previously estimated relationships unreliable. The cross-asset analysis extends the framework beyond individual securities. By calculating scores for multiple asset classes simultaneously and measuring their correlation, the model distinguishes between idiosyncratic overextension affecting a single asset and systemic conditions affecting markets broadly. This differentiation matters for portfolio construction, as documented by Longin and Solnik (2001), who found that correlations between international equity markets increase significantly during periods of market stress. Several limitations deserve explicit acknowledgment. The model cannot identify timing. Overextended conditions can persist far longer than rational analysis might suggest, a phenomenon documented by Shiller (2000) in his analysis of speculative episodes. The model provides no mechanism for determining when fragile conditions will resolve. Additionally, the cross-asset analysis lacks lead-lag detection, meaning it cannot distinguish whether assets became overextended simultaneously or sequentially. Finally, the rule-based nature of state inference means the model cannot express graduated probability assessments; states are discrete rather than continuous. The philosophical stance underlying the model is one of epistemic humility. It does not claim to identify bubbles definitively or predict their collapse. Instead, it provides a systematic framework for measuring characteristics that have historically been associated with fragile market conditions. The distinction between information and action remains the user's responsibility. States describe current conditions; how to respond to those conditions requires judgment that no quantitative model can provide. Practical guide for traders This section translates the model's outputs into actionable intelligence for both retail traders managing personal portfolios and professional traders operating within institutional frameworks. The interpretation differs not in kind but in scale and consequence. Understanding the score The primary output is a continuous score ranging from zero to one. Lower scores indicate elevated bubble risk; higher scores suggest more sustainable market conditions. This inverse relationship may seem counterintuitive but reflects the model's construction: it measures how extreme current conditions are relative to historical norms, with extremity mapping to fragility. A score above 0.50 generally indicates normal market conditions where standard investment approaches remain appropriate. Scores between 0.30 and 0.50 represent an elevated zone where caution is warranted but not alarm. Scores below 0.30 enter the extreme territory where historical precedent suggests increased fragility. These thresholds are not magical boundaries but represent statistical rarity: a score below 0.30 indicates conditions that occur in roughly the bottom quintile of historical observations. For retail traders, a score in the normal range means continuing with established strategies without modification. In the elevated range, this might mean pausing new position additions while maintaining existing holdings. In the extreme range, retail traders should consider whether their portfolio could withstand a significant drawdown and whether their time horizon permits waiting for recovery. For professional traders, the score integrates into broader risk frameworks: normal conditions permit full risk budgets, elevated conditions might trigger reduced position sizing or tighter stop losses, and extreme conditions could warrant defensive positioning or increased hedging activity. Reading the states The model classifies conditions into three discrete states: Normal, Elevated, and Extreme. These states differ from the continuous score by incorporating persistence and transition resistance. A market can have a score temporarily dipping below 0.30 without triggering an Extreme state if the condition proves transient. The Normal state indicates business as usual. Market conditions fall within historical norms across all measured dimensions. For retail traders, this means standard portfolio management applies. For professional traders, full strategy deployment remains appropriate with normal risk parameters. The Elevated state signals heightened attention. At least one dimension of market behavior has moved outside normal ranges, though not to extreme levels. Retail traders should review portfolio concentration and ensure diversification remains intact. Professional traders might reduce leverage slightly, tighten risk limits, or increase monitoring frequency. The Extreme state represents statistically rare conditions. Multiple dimensions show readings that historically occur infrequently. Retail traders should seriously evaluate whether they can tolerate potential drawdowns and consider reducing exposure to volatile assets. Professional traders should implement defensive protocols, potentially reducing gross exposure, increasing cash allocations, or adding protective positions. Interpreting transitions State transitions carry more information than states themselves. The model tracks whether conditions are entering, persisting in, or exiting particular states. An Entry into Extreme represents the most important signal. It indicates a regime shift from normal or elevated conditions into territory associated with historical fragility. For retail traders, this warrants immediate portfolio review. For professional traders, this typically triggers predefined defensive protocols. Persistence in a state indicates stability. Whether Normal or Extreme, persistence suggests the current regime has become established. For retail traders, persistence in Extreme over extended periods actually reduces immediate concern; the dangerous moment was the entry, not the continuation. For professional traders, persistent Extreme states require maintained vigilance but do not necessarily demand additional action beyond what the initial entry triggered. An Exit from Extreme suggests improving conditions. For retail traders, this might warrant cautious return to normal positioning over time. For professional traders, exits permit gradual normalization of risk budgets, though institutional memory typically counsels slower reentry than the mathematical signal might suggest. Duration and its meaning The model distinguishes between Tactical, Accelerating, and Structural durations in critical zones. Tactical duration (10-39 bars in critical territory) represents short-term overextension. Many Tactical episodes resolve without significant market disruption. Retail traders should note the condition but need not take dramatic action. Professional traders might implement modest hedges or reduce marginal positions. Accelerating indicates Tactical duration combined with actively deteriorating scores. This combination historically precedes more significant corrections. Retail traders should consider lightening positions in their most volatile holdings. Professional traders typically implement more substantial hedges. Structural duration (40+ bars in critical territory) indicates persistent overextension that has become a market feature rather than a temporary condition. Paradoxically, Structural conditions are both more concerning and less immediately actionable than Accelerating conditions. The market has demonstrated ability to sustain extreme readings. Retail traders should maintain heightened awareness but recognize that timing remains impossible. Professional traders often find Structural conditions require strategy adaptation rather than simple defensive positioning. Confidence and what it tells you The Confidence reading indicates internal model consistency. High confidence means all four underlying components agree in their assessment. Low confidence means components diverge significantly. High confidence combined with Extreme state represents the clearest signal. The model is both indicating fragility and agreeing with itself about that assessment. Retail and professional traders alike should treat this combination with maximum seriousness. Low confidence in any state reduces signal reliability. For retail traders, low confidence suggests waiting for clearer conditions before making significant portfolio changes. For professional traders, low confidence warrants increased skepticism about the score and potentially reduced position sizing in either direction. Alignment and model health The Alignment indicator monitors whether the model's calibration remains valid relative to recent market behavior. Good alignment means recent score distributions match longer-term historical patterns. The model's percentile rankings remain meaningful. Both retail and professional traders can interpret scores at face value. Degraded alignment indicates that recent market behavior has shifted somewhat from historical norms. Scores remain interpretable but with reduced precision. Retail traders should apply wider uncertainty bands to their interpretation. Professional traders might reduce position sizing slightly or require additional confirmation before acting. Poor alignment signals significant distribution shift. The model may be comparing current conditions to an increasingly irrelevant historical baseline. Retail traders should rely more heavily on other information sources during Poor alignment periods. Professional traders typically reduce model weight in their decision frameworks until alignment recovers. Volatility regime context The volatility regime provides essential context for score interpretation. Low volatility combined with Extreme state creates maximum concern. Research consistently shows that low-volatility environments can precede significant market dislocations. The market's apparent calm masks underlying fragility. Retail traders should recognize that low volatility does not mean low risk; it often means compressed risk premiums that will eventually normalize, potentially violently. Professional traders typically maintain or increase defensive positioning despite the market's calm appearance. High volatility combined with Extreme state is actually less immediately concerning than low volatility. The market has already acknowledged stress; risk premiums have expanded; potential sellers may have already sold. Retail traders should resist the urge to panic sell during high-volatility extremes, as much of the adjustment may have already occurred. Professional traders recognize that high-volatility extremes often represent better entry points than low-volatility extremes. Normal volatility requires no regime adjustment to interpretation. Scores mean what they appear to mean. Cross-asset analysis When enabled, the model calculates scores for multiple asset classes simultaneously, enabling systemic versus idiosyncratic risk assessment. Systemic risk (multiple assets in Extreme with high correlation) indicates market-wide fragility. Diversification benefits are reduced precisely when most needed. Retail traders should recognize that their portfolio's apparent diversification may not protect them during systemic events. Professional traders implement cross-asset hedges and consider tail-risk protection. Broad risk (multiple assets in Extreme with low correlation) suggests widespread but potentially unrelated overextension. Diversification may still provide some protection. Retail traders can take modest comfort in genuine diversification. Professional traders analyze which assets might offer relative value. Isolated risk (single asset in Extreme while others remain Normal) indicates asset-specific rather than market-wide conditions. Retail traders holding the affected asset should evaluate their position specifically. Professional traders may find relative value opportunities going long unaffected assets against the extended one. Scattered risk represents a few assets showing elevation without clear pattern. This typically warrants monitoring rather than action for both retail and professional traders. Parameter guidance The Short Percentile parameter (default 504 bars, approximately two years) controls the shorter normalization window. Increasing this value makes the model more conservative, requiring more extreme readings to flag concern. Retail traders should generally leave this at default. Professional traders might increase it for assets with shorter reliable history. The Long Percentile parameter (default 1260 bars, approximately five years) controls the longer normalization window. This provides regime stability. Again, default settings suit most applications. The Critical Threshold (default 0.30) determines where the Extreme state boundary lies. Lowering this value makes the model less sensitive, flagging fewer Extreme conditions. Raising it increases sensitivity. Retail traders seeking fewer false alarms might lower this to 0.25. Professional traders seeking earlier warning might raise it to 0.35. The Structural Duration parameter (default 40 bars) determines when Tactical conditions become Structural. Shorter values provide earlier Structural classification. Longer values require more persistence before reclassification. The State Maturity and Transition Resistance parameters control how readily the model changes states. Higher values create more stable states with fewer transitions. Lower values create more responsive but potentially noisier state changes. Default settings balance responsiveness against stability. The Adaptive Smoothing parameters control how the model filters noise. In extreme zones, longer smoothing periods reduce whipsaws but increase lag. In normal zones, shorter periods maintain responsiveness. Most traders should leave these at defaults. What the model cannot do The model cannot predict when overextended conditions will resolve. Markets can remain irrational longer than any trader can remain solvent, as the saying goes. Extended Extreme readings may persist for months or even years before any correction materializes. The model cannot distinguish between healthy bull markets and dangerous bubbles in their early stages. Both initially appear as strong returns and positive momentum. The model begins flagging concern only when statistical extremity develops, which may occur well into an advance. The model cannot account for fundamental changes in market structure. If a new paradigm genuinely justifies higher valuations (rare but not impossible), the model will continue flagging extremity against historical norms that may no longer apply. The Alignment indicator provides partial protection against this failure mode but cannot eliminate it. The model cannot replace judgment. It provides systematic measurement of conditions that have historically preceded fragility. Whether and how to act on that measurement remains entirely the trader's responsibility. Retail traders must still evaluate their personal circumstances, time horizons, and risk tolerance. Professional traders must still integrate model output with fundamental analysis, portfolio constraints, and client mandates. References Andrews, D.W.K. (1993). Tests for Parameter Instability and Structural Change with Unknown Change Point. Econometrica, 61(4). Brunnermeier, M.K., & Pedersen, L.H. (2009). Market Liquidity and Funding Liquidity. Review of Financial Studies, 22(6). Campbell, J.Y., & Shiller, R.J. (1988). Stock Prices, Earnings, and Expected Dividends. Journal of Finance, 43(3). Dietterich, T.G. (2000). Ensemble Methods in Machine Learning. Multiple Classifier Systems. Dixit, A. (1989). Entry and Exit Decisions under Uncertainty. Journal of Political Economy, 97(3). Engle, R.F. (1982). Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4). Fama, E.F., & French, K.R. (1992). The Cross-Section of Expected Stock Returns. Journal of Finance, 47(2). Hamilton, J.D. (1989). A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle. Econometrica, 57(2). Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1). Kindleberger, C.P. (1978). Manias, Panics, and Crashes: A History of Financial Crises. Basic Books. Lo, A.W., & MacKinlay, A.C. (1990). Data-Snooping Biases in Tests of Financial Asset Pricing Models. Review of Financial Studies, 3(3). Longin, F., & Solnik, B. (2001). Extreme Correlation of International Equity Markets. Journal of Finance, 56(2). Rabiner, L.R. (1989). A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proceedings of the IEEE, 77(2). Shiller, R.J. (2000). Irrational Exuberance. Princeton University Press. Taleb, N.N. (2007). The Black Swan: The Impact of the Highly Improbable. Random House. Taleb, N.N., & Douady, R. (2012). Mathematical Definition, Mapping, and Detection of (Anti)Fragility. Quantitative Finance, 13(11).
อินดิเคเตอร์ Pine Script®
โดย EdgeTools
Best Buying & Selling Flip Zone @MaxMaserati 3.0Best Buying & Selling Flip Zone 3.0 🐂🐻 Best Buying & Selling Flip Zone 3.0 is an advanced, multi-timeframe Price Action tool designed to identify high-probability institutional supply and demand zones. By analyzing candle range and body size (Expander vs. Normal candles), this indicator categorizes market structure shifts into three distinct tiers of strength (A+++, A++, A+). It includes a built-in Trade Manager, Volume Tracking, and a unique "Defender/Attacker" Multi-Timeframe (MTF) entry confirmation system. 🚀 Key Features Multi-Timeframe Analysis: Monitor Higher Timeframe (HTF) zones while trading on a Lower Timeframe (LTF). Tiered Setup Grading: Automatically classifies zones based on the strength of the candle engulfing action (King Slayer, Crusher, Drift). Smart Entry Confirmation: The script can wait for price to tap an HTF zone and then automatically search for a confirmation pattern on the current timeframe before signaling a trade. Built-in Trade Management: Visualizes Entry, Stop Loss (SL), and Take Profit (TP) levels with customizable Risk:Reward ratios. Volume Tracking: Monitors the volume utilized to create a zone and tracks "remaining" volume as price tests the zone. Zone Deletion Logic: Automatically removes zones that have been invalidated by either a wick or a candle close. 🧠 How It Works: The "A-Grade" Logic The indicator analyzes candles based on their body-to-range ratio to define "Expander" (Explosive move) vs. "Normal" candles. It then looks for engulfing behaviors to create zones: A+++ (King Slayer): Logic: A Bullish Expander engulfs a Bearish Expander (or vice versa). Significance: This is the strongest signal, indicating a massive shift in momentum where aggressive buyers completely overwhelmed aggressive sellers. A++ (Crusher): Logic: A Bullish Expander engulfs a Bearish Normal candle. Significance: Strong momentum overcoming standard price action. High probability. A+ (Drift): Logic: A Bullish Normal candle engulfs a Bearish Normal candle. Significance: A standard flip zone. Good for continuation plays but less aggressive than KS or CR setups. 🛠️ Functionality Guide 1. General Filters & Timeframes Higher Timeframe: Select a timeframe higher than your chart (e.g., Select 4H while trading on 15m). The indicator will draw the major zones from the 4H. Deletion Logic: Wick (Hard): Zone is removed immediately if price touches the invalidation level. Close (Soft): Zone is removed only if a candle closes past the invalidation level. 2. LTF Entry Confirmation (The "Master" Switch) When Show LTF Entry Logic is enabled, the indicator does not signal immediately upon an HTF zone creation. Instead: It waits for the price to retraced and touch the HTF zone. Once touched, it scans the current timeframe for a valid flip setup (KS, CR, or DR). It creates a tighter entry box and draws trade lines only when this confirmation occurs. 3. Trade Management Risk:Reward: Set your desired RR (e.g., 2.0). SL Padding: Add breathing room (ticks) to your Stop Loss. SL Source: Choose between a safer Stop Loss (based on the HTF zone) or a tighter Stop Loss (based on the LTF confirmation candle). 4. Volume Stats Labels display the volume involved in the zone's creation. As price taps the zone, the volume is "depleted" from the label, giving you insight into the remaining order flow absorption. 🎨 Visual Customization Colors: Fully customizable colors for Buyers (Green) and Sellers (Red) zones across all three strength tiers. Labels: Toggle technical names, touch counts, and timeframe labels. Lines: Option to show "Aggressive Open Lines" to mark the exact opening price of the flip zone extended forward. ⚠️ Disclaimer This tool is for educational purposes and chart analysis assistance only. Past performance of a setup (A+++/King Slayer) does not guarantee future results. Always manage risk and use this in conjunction with your own trading strategy.
อินดิเคเตอร์ Pine Script®
โดย MaxMaserati
4
Funnelzon Graded Buy and Sell Signals (LITE) MFI MTFFunnelzon Buy and Sell Signals (EMA Zones) – LITE is a lightweight overlay indicator built for scalping and short-term trading. It generates BUY/SELL signals, grades each signal (A+ to F), and provides a clean Confirmation Box that summarizes multi-timeframe context so you can make faster, more structured decisions. How it works Signal Engine (LTF) Signals are triggered using an ATR-based “scalp helper” logic with adjustable sensitivity. A stop-state system helps reduce repeated or noisy entries. Signal Scoring & Grades (A+ → F) When a signal appears, it is evaluated by a context pipeline that considers: Adaptive momentum/flow (AMF) ALMA trend alignment Support/Resistance proximity Swing structure behavior Market regime / trend strength (ADX-based) The result is a score mapped to a grade: A+ / A = strongest signals B / C = mixed conditions D / F = low-quality conditions Optional Filters MFI Filter: Helps avoid signals that do not meet Money Flow conditions. HTF Confirmation (MTF): Uses HTF1 and HTF2 bias. Choose strict filtering or soft alignment. Confirmation Box (Dashboard) The box displays: HTF State: Trend Long / Trend Short / HTF Conflict / Neutral Market Mode: Trend / Pullback / Conflict Trade Bias: Long-only / Short-only / Wait ENTRY NOW? = “YES” when HTF bias and LTF signal align MFI status + HTF1/HTF2 direction Optional Structure Tools EMA overlays: 9 / 12 / 20 / 50 / 100 / 200 Auto Supply/Demand zones (pivot-based, ATR thickness, configurable extension and limits) Best practices (recommended workflow) Prefer trading A+ / A signals only. Trade in the direction of HTF State when possible. If Market Mode shows PULLBACK or CONFLICT, reduce risk or wait for better alignment. Use Supply/Demand zones and EMAs for structure (targets, invalidation, and bias). Important: Confirmation with Stochastic + MACD This script is a signal + context tool, not a guarantee. To validate signal confirmation, it is strongly recommended to use: Stochastic Oscillator (momentum/exhaustion confirmation) MACD (trend momentum and direction confirmation) Only take trades when the script signal and your confirmation indicators agree. Alerts Includes alert conditions for: Buy Signal Sell Signal Any Signal ENTRY NOW (HTF + LTF aligned) ENTRY NOW Long / ENTRY NOW Short Disclaimer This indicator is for educational purposes and does not constitute financial advice. Always backtest, manage risk, and confirm signals with your own rules.
อินดิเคเตอร์ Pine Script®
โดย funnelzon
1
Multi-Timeframe Trading SystemIntegrating Multi-Timeframe Trading Analysis: A Comprehensive Approach to Market Structure and Trend Identification In the dynamic landscape of financial markets, traders continually seek robust analytical frameworks that can synthesize diverse market signals into a coherent decision-support system. This script represents a deliberate integration of several established technical analysis concepts, designed to provide a multi-perspective view of market conditions. The rationale for this integration stems from the recognition that no single indicator provides a complete picture; rather, a confluence of signals from different analytical dimensions can enhance the probability of identifying high-quality trading opportunities. The core design principle of this script is the synthesis of trend analysis, momentum assessment, and market structure identification across multiple timeframes. This multi-layered approach is grounded in the widely accepted market axiom that higher timeframes exert gravitational pull on lower timeframes, and that the alignment of signals across temporal scales often precedes significant price movements. Functional Components and Their Synergistic Operation The script operates through several interconnected modules that work in concert: Multi-Timeframe Trend Analysis Dashboard: At the heart of the system is a comparative trend analysis across six distinct timeframes (3-minute to daily). This is achieved using Exponential Moving Average (EMA) crossovers—a proven trend-following mechanism. The dashboard provides instantaneous visual feedback about trend alignment or divergence across timeframes, allowing traders to gauge the strength and consistency of prevailing market trends. When multiple timeframes exhibit congruent trend directions, it suggests a higher-conviction trading environment. EMA-Based Trend Filtering: The script employs dual EMA periods (55 and 200) as its primary trend filter. The relationship between these moving averages serves as the foundation for all subsequent analysis, coloring price bars according to the dominant trend direction. This visual cue helps traders maintain perspective on the broader market context, preventing counter-trend entries during strong trending phases. Momentum Assessment via RSI: The Relative Strength Index (RSI) operates as a complementary momentum oscillator. While the EMA system identifies trend direction, the RSI helps assess whether price movement within that trend is approaching overextended conditions. The script monitors RSI levels for traditional overbought and oversold thresholds, providing alerts when these conditions emerge. Market Structure Analysis through Swing Points and Fractals: The automated detection of swing highs and lows forms the basis for understanding market structure. These pivot points are essential for identifying potential support/resistance zones and charting the sequence of higher highs/lows or lower highs/lows that characterize trending versus ranging markets. The fractal detection system further refines this structural analysis by identifying minor reversal points within the broader swing structure. Fair Value Gap (FVG) Identification: The script automatically detects price voids or "gaps" that often act as magnetic attractors for future price action. These FVGs represent areas of inefficient price discovery where liquidity tends to cluster, making them significant for both trade entry and risk management decisions. Automated Trendline Construction: By connecting successive swing points, the script dynamically draws trendlines that visualize the prevailing market trajectory. These trendlines serve as dynamic support/resistance levels that adapt to changing market conditions. Practical Application and Usage Guidelines Traders can utilize this integrated system in several practical ways: Trend Confirmation: Before entering any position, check the multi-timeframe dashboard for trend alignment. Convergent trends across multiple timeframes generally offer higher-probability trading environments. Entry Timing: Use RSI extremes in conjunction with trend direction. For instance, in an established uptrend (confirmed by EMA alignment), an RSI reading dipping into oversold territory may present a favorable long entry opportunity. Structural Analysis: Monitor the sequence of swing points to identify potential breakouts or breakdowns in market structure. A break of a significant swing point often signals acceleration in the prevailing trend. Fair Value Gap Trading: Watch for price returns to previously identified FVGs, as these zones frequently provide favorable risk-reward entry points with logical stop-loss placement beyond the gap boundaries. Dynamic Support/Resistance: Utilize the automatically drawn trendlines as dynamic levels for trade management, including entry, stop-loss placement, and profit-taking. Originality and Distinctive Features While individual components of this system are derived from established technical analysis principles, the original contribution lies in their specific integration and visualization methodology. The script provides: A unified visual framework that reduces analytical clutter while maintaining comprehensive market assessment Real-time multi-timeframe analysis without requiring constant chart switching Automated structural analysis that eliminates subjective trendline drawing A balanced approach that respects both trend-following and mean-reversion principles Customizable parameters that allow adaptation to different trading instruments and timeframes Important Considerations Users should understand that this tool is designed as a decision-support system, not an automated trading solution. All trading decisions should incorporate additional factors including fundamental analysis, market context, and appropriate risk management. The color-coded bar system and dashboard indicators are intended to streamline analysis, but they cannot guarantee specific market outcomes. Traders are encouraged to test this system in simulated environments before applying it to live markets and to adapt its parameters to align with their individual trading styles and risk tolerances. The script's value proposition lies in its ability to synthesize multiple analytical perspectives into a cohesive visual interface, potentially reducing cognitive load while maintaining analytical rigor—a balance that many traders find challenging to achieve manually across multiple charts and timeframes.
อินดิเคเตอร์ Pine Script®
โดย neeson1987
Batoot Algo PureBatoot Algo (Pure Analysis Mode) Indicator Overview Batoot Algo is an advanced technical analysis indicator based on: Price Action and geometric chart patterns Higher Timeframe (HTF) trend filtering Volume confirmation Breakout & Retest logic Head & Shoulders pattern detection Analysis-only indicator. No Buy/Sell labels on the chart. Alerts and Dashboard only. The goal is clean charts and smarter trading decisions. --- Entry Modes Aggressive (Breakout) Immediate entry on breakout Requires: Confirmed breakout High volume Optional trend alignment Conservative (Retest) Breakout → Wait for retest → Confirmation candle Reduces false signals Suitable for patient trading --- HTF Trend Filter Uses EMA crossover on higher timeframe: EMA 50 EMA 200 EMA50 > EMA200 → Bullish EMA50 < EMA200 → Bearish Filter can be enabled or disabled in settings. --- Price Patterns Detected Automatically detects and draws: Bullish / Bearish Flags Channels Triangles / Pennants Rising Wedge (Bearish) Falling Wedge (Bullish) The area between support and resistance lines is dynamically filled based on the pattern. --- Yellow Candle (High Volume) Yellow candles indicate High Volume. Triggered when: Current candle volume >= Average volume of last 20 candles × volume multiplier Default multiplier: 1.5 Confirms strong breakouts. Not a standalone entry signal. --- Head & Shoulders Detection Supports: Head & Shoulders (Bearish) Inverse Head & Shoulders (Bullish) Neckline drawn automatically. Breakout validated with volume. Pattern status shown in Dashboard. --- Dashboard Displays: Entry Mode (Aggressive / Conservative) HTF Trend Current Pattern Head & Shoulders Status Market Status: ENTRY BUY, ENTRY SELL, WAIT RETEST, SCANNING --- Alerts Alerts trigger only when: Pattern confirmed Breakout / Retest logic satisfied High volume confirmed Trend filter (if enabled) passes No trade labels plotted on chart. --- License & Attribution Licensed under Creative Commons Attribution 4.0 (CC BY 4.0) Free to use and modify. Attribution required. Removing or changing the author name is not allowed. --- This indicator is for technical analysis purposes only and is not financial advice. Always use proper risk management. --- Clean chart, smart analysis, better trading decisions.
อินดิเคเตอร์ Pine Script®
โดย nazaralgeze
4