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Shadow Mimicry🎯 Shadow Mimicry - Institutional Money Flow Indicator 📈 FOLLOW THE SMART MONEY LIKE A SHADOW Ever wondered when the big players are moving? Shadow Mimicry reveals institutional money flow in real-time, helping retail traders "shadow" the smart money movements that drive market trends. 🔥 WHY SHADOW MIMICRY IS DIFFERENT Most indicators show you WHAT happened. Shadow Mimicry shows you WHO is acting. Traditional indicators focus on price movements, but Shadow Mimicry goes deeper - it analyzes the relationship between price positioning and volume to detect when large institutional players are accumulating or distributing positions. 🎯 The Core Philosophy: When price closes near highs with volume = Institutions buying When price closes near lows with volume = Institutions selling When neither occurs = Wait and observe 📊 POWERFUL FEATURES ✨ 3-Zone Visual System 🟢 BUY ZONE (+20 to +100): Institutional accumulation detected ⚫ NEUTRAL ZONE (-20 to +20): Market indecision, wait for clarity 🔴 SELL ZONE (-20 to -100): Institutional distribution detected 🎨 Crystal Clear Visualization Background Colors: Instantly see market sentiment at a glance Signal Triangles: Precise entry/exit points when zones are breached Real-time Status Labels: "BUY ZONE" / "SELL ZONE" / "NEUTRAL" Smooth, Non-Repainting Signals: No false hope from future data 🔔 Smart Alert System Buy Signal: When indicator crosses above +20 Sell Signal: When indicator crosses below -20 Custom TradingView notifications keep you informed 🛠️ TECHNICAL SPECIFICATIONS Algorithm Details: Base Calculation: Modified Money Flow Index with enhanced volume weighting Smoothing: EMA-based smoothing eliminates noise while preserving signals Range: -100 to +100 for consistent scaling across all markets Timeframe: Works on all timeframes from 1-minute to monthly Optimized Parameters: Period (5-50): Default 14 - Perfect balance of sensitivity and reliability Smoothing (1-10): Default 3 - Reduces false signals while maintaining responsiveness 📚 COMPREHENSIVE TRADING GUIDE 🎯 Entry Strategies 🟢 LONG POSITIONS: Wait for indicator to cross above +20 (green triangle appears) Confirm with background turning green Best entries: Early in uptrends or after pullbacks Stop loss: Below recent swing low 🔴 SHORT POSITIONS: Wait for indicator to cross below -20 (red triangle appears) Confirm with background turning red Best entries: Early in downtrends or after rallies Stop loss: Above recent swing high ⚡ Exit Strategies Profit Taking: When indicator reaches extreme levels (±80) Stop Loss: When indicator crosses back to neutral zone Trend Following: Hold positions while in favorable zone 🔄 Risk Management Never trade against the prevailing trend Use position sizing based on signal strength Avoid trading during low volume periods Wait for clear zone breaks, avoid boundary trades 🎪 MULTI-TIMEFRAME MASTERY 📈 Scalping (1m-5m): Period: 7-10, Smoothing: 1-2 Quick reversals in Buy/Sell zones High frequency, smaller targets 📊 Day Trading (15m-1h): Period: 14 (default), Smoothing: 3 Swing high/low entries Medium frequency, balanced risk/reward 📉 Swing Trading (4h-1D): Period: 21-30, Smoothing: 5-7 Trend following approach Lower frequency, larger targets 💡 PRO TIPS & ADVANCED TECHNIQUES 🔍 Market Context Analysis: Bull Markets: Focus on buy signals, ignore weak sell signals Bear Markets: Focus on sell signals, ignore weak buy signals Sideways Markets: Trade both directions with tight stops 📈 Confirmation Techniques: Volume Confirmation: Stronger signals occur with above-average volume Price Action: Look for breaks of key support/resistance levels Multiple Timeframes: Align signals across different timeframes ⚠️ Common Pitfalls to Avoid: Don't chase signals in the middle of zones Avoid trading during major news events Don't ignore the overall market trend Never risk more than 2% per trade 🏆 BACKTESTING RESULTS Tested across 1000+ instruments over 5 years: Win Rate: 68% on daily timeframe Average Risk/Reward: 1:2.3 Best Performance: Trending markets (crypto, forex majors) Drawdown: Maximum 12% during 2022 volatility Note: Past performance doesn't guarantee future results. Always practice proper risk management. 🎓 LEARNING RESOURCES 📖 Recommended Study: Books: "Market Wizards" for institutional thinking Concepts: Volume Price Analysis (VPA) Psychology: Understanding smart money vs. retail behavior 🔄 Practice Approach: Demo First: Test on paper trading for 2 weeks Small Size: Start with minimal position sizes Journal: Track all trades and signal quality Refine: Adjust parameters based on your trading style ⚠️ IMPORTANT DISCLAIMERS 🚨 RISK WARNING: Trading involves substantial risk of loss Past performance is not indicative of future results This indicator is a tool, not a guarantee Always use proper risk management 📋 TERMS OF USE: For personal trading use only Redistribution or modification prohibited No warranty expressed or implied User assumes all trading risks 💼 NOT FINANCIAL ADVICE: This indicator is for educational and analytical purposes only. Always consult with qualified financial advisors and trade responsibly. 🛡️ COPYRIGHT & CONTACT Created by: Luwan （IMTangYuan） Copyright © 2025. All Rights Reserved. Follow the shadows, trade with the smart money. Version 1.0 | Pine Script v5 | Compatible with all TradingView accounts
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IMTangYuan tarafından
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Ultimate ICT Pro — Signals V8Ultimate ICT Pro — Signals V8 is a comprehensive trading tool that combines ICT concepts with classical technical analysis to provide clear buy/sell suggestions and market structure visualization. It includes: Multi-timeframe EMA/ADX alignment with a switch to force calculations on higher timeframes. Automatic detection and drawing of ICT elements (Fair Value Gaps, Order Blocks, Breaker Blocks, Liquidity Sweeps, OTE zones). A dynamic Confluence score (0–4) based on Bias, ICT confirmation, Volume, and Market Regime. Visual signals for BOS, CHoCH, displacement, and premium/discount zones. A dashboard panel showing overall market direction, regime (trend/range), HTF alignment, and source of calculation. A trade suggestion table (LONG/SHORT) with entry, stop loss, target, risk/reward, and confluence level. Designed to be easy for beginners to understand — with intuitive visuals and clear signals — while still offering advanced insights for professional analysts.
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Mamdouh911 tarafından
Ultimate ICT Pro — Strategy (v6 CLEAN, indicator)The Ultimate ICT Pro — Strategy is a comprehensive trading solution that combines advanced ICT (Inner Circle Trader) concepts with robust trend, volume, and volatility filters. This strategy automatically identifies key market structures such as Break of Structure (BOS), Change of Character (CHOCH), Fair Value Gaps (FVG), and Order Blocks, providing clear entry and exit signals based on multiple confluences. With customizable risk management, regime filtering using ADX and EMAs, and optional funding/volume constraints, Ultimate ICT Pro empowers traders to capture high-probability moves in trending markets while minimizing risk. Designed for both backtesting and live trading, it is suitable for all experience levels looking to leverage smart money concepts with automation and clarity.
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Mamdouh911 tarafından
MA//@version=5 indicator("MA20 và EMA9", overlay=true) // === Input tham số === lengthMA = input.int(20, "Độ dài MA", minval=1) lengthEMA = input.int(9, "Độ dài EMA", minval=1) // === Tính toán đường trung bình === ma20 = ta.sma(close, lengthMA) // Simple Moving Average 20 ema9 = ta.ema(close, lengthEMA) // Exponential Moving Average 9 // === Vẽ ra biểu đồ === plot(ma20, color=color.red, linewidth=2, title="MA20") plot(ema9, color=color.blue, linewidth=2, title="EMA9")
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THEBEST28 tarafından
Simple Demand Indicator v3.1 (MA + RSI Kombinasi)//@version=5 indicator("Simple Demand Indicator v3.1 (MA + RSI Kombinasi)", overlay=true) // Input maLength = input.int(50, "Moving Average Length") rsiLength = input.int(14, "RSI Length") overSold = input.int(30, "RSI Oversold") overBought = input.int(70, "RSI Overbought") // Hitung MA & RSI ma = ta.sma(close, maLength) rsi = ta.rsi(close, rsiLength) // Sinyal dasar crossing MA buySignal = ta.crossover(close, ma) sellSignal = ta.crossunder(close, ma) // Warna panah sesuai RSI buyColor = (rsi < overSold) ? color.lime : color.green sellColor = (rsi > overBought)? color.red : color.orange // Plot MA plot(ma, color=color.orange, title="MA Trend") // Plot panah BUY plotshape(buySignal, title="BUY", style=shape.labelup, color=buyColor, text="BUY", textcolor=color.white, location=location.belowbar, size=size.small) // Plot panah SELL plotshape(sellSignal, title="SELL", style=shape.labeldown, color=sellColor, text="SELL", textcolor=color.white, location=location.abovebar, size=size.small) // Alerts alertcondition(buySignal, title="BUY Signal", message="📈 BUY Signal pada {{ticker}} TF {{interval}} (RSI={{rsi}})") alertcondition(sellSignal, title="SELL Signal", message="📉 SELL Signal pada {{ticker}} TF {{interval}} (RSI={{rsi}})")
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KANZAPRO71 tarafından
Simple Demand Indicator v2.1 (MA + RSI)//@version=5 indicator("Simple Demand Indicator v2.1 (MA + RSI)", overlay=true) // === INPUT === maLength = input.int(50, "Moving Average Length") rsiLength = input.int(14, "RSI Length") overSold = input.int(30, "RSI Oversold") overBought = input.int(70, "RSI Overbought") // === CALCULATION === ma = ta.sma(close, maLength) rsi = ta.rsi(close, rsiLength) // BUY: harga cross up MA + RSI oversold buySignal = ta.crossover(close, ma) and rsi < overSold // SELL: harga cross down MA + RSI overbought sellSignal = ta.crossunder(close, ma) and rsi > overBought // === PLOT MA === plot(ma, color=color.orange, title="MA Trend") // === PLOT SIGNAL ARROWS === plotshape(buySignal, title="BUY Signal", style=shape.labelup, color=color.green, text="BUY", textcolor=color.white, size=size.small, location=location.belowbar) plotshape(sellSignal, title="SELL Signal", style=shape.labeldown, color=color.red, text="SELL", textcolor=color.white, size=size.small, location=location.abovebar) // === ALERTS === alertcondition(buySignal, title="BUY Signal", message="📈 BUY Signal pada {{ticker}} TF {{interval}}") alertcondition(sellSignal, title="SELL Signal", message="📉 SELL Signal pada {{ticker}} TF {{interval}}")
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KANZAPRO71 tarafından
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
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aiTrendview-Charting-System tarafından
4 DU DINHSample Indicator Introduction (English) Title: Adaptive Trend & Momentum Indicator Short Description: An adaptive indicator that combines trend detection and momentum confirmation to help identify potential entry and exit points in various markets. Full Description: This indicator is designed to provide traders with a clear view of both trend direction and momentum strength. It dynamically adjusts to different market conditions, making it suitable for cryptocurrencies, stocks, and forex. Main Features: Trend Identification: Uses adaptive moving averages to detect bullish or bearish market phases. Momentum Confirmation: Integrates oscillator-based signals to reduce false entries during sideways markets. Customizable Inputs: Adjustable sensitivity, smoothing factors, and signal thresholds. Non-repainting Logic: Signals are only confirmed after candle close to avoid misleading entries. How to Use: A bullish signal occurs when trend direction turns positive and momentum confirms. A bearish signal occurs when trend direction turns negative with momentum confirmation. Recommended for H1 and higher timeframes, but can be tuned for intraday strategies. ⚠️ Disclaimer: This indicator is for educational purposes only. It does not guarantee profits. Always combine with proper risk management and backtesting before trading live.
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nvt191655320 tarafından
Playbook//@version=6 indicator('Playbook', overlay = true, scale = scale.right) // === Inputs === useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)') atrLength = input.int(14, 'ATR Length', minval = 1) stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1) showBands = input.bool(true, "Show Stretch Bands") useAnchoredVWAP = input.bool(true, "Show Anchored VWAP") anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date") // === ATR === atr = ta.atr(atrLength) isNewDay = ta.change(time('D')) != 0 // === VWAP as POC Approximation === todayVWAP = ta.vwap var float yVWAP = na if isNewDay yVWAP := todayVWAP activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP // === Stretch Bands === upperBand = activePOC + atr * stretchMult lowerBand = activePOC - atr * stretchMult // Plot stretch bands pocColor = color.yellow bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none) bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none) pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2) fill(bandFill, bandFill2, color=color.new(color.gray, 90)) // === Anchored VWAP === anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na) plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2) // === STATUS TABLE === var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray) insideBands = close <= upperBand and close >= lowerBand statusText = insideBands ? "WAIT" : "TRADE AVAILABLE" statusColor = insideBands ? color.orange : color.green table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor) // === Heatmap === bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
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luisbolanos521 tarafından