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Adaptive 2-Pole Trend Bands [supfabio]Adaptive 2-Pole Trend Bands is a volatility-aware trend filtering indicator designed to identify the dominant market direction while providing dynamic reference zones around price. Instead of relying on traditional moving averages, this indicator uses a two-pole digital filter to smooth price action while maintaining responsiveness. Around this central trend line, a multi-band structure based on ATR is applied to help traders evaluate pullbacks, extensions, and potential exhaustion areas within a trend. Core Concept The indicator is built around three key ideas: Digital Trend Filtering Volatility-Adjusted Bands Trend Persistence Measurement These components work together to separate meaningful price movement from noise and to provide context for how far price has moved relative to recent volatility. Two-Pole Trend Filter At its core, the indicator uses a two-pole smoothing filter, which produces a cleaner trend curve than common moving averages. Compared to standard averages, this approach: Reduces market noise Produces smoother transitions Responds faster to genuine trend changes Avoids excessive lag in trending markets The result is a trend line that represents the structural direction of price, rather than short-term fluctuations. Adaptive Multi-Band System Around the central trend filter, the indicator plots four independent volatility-based bands, each derived from the Average True Range (ATR). Each band represents a different degree of price extension: Band 1: Shallow pullbacks and minor reactions Band 2: Moderate extensions within a trend Band 3: Strong directional moves Band 4: Extreme extensions relative to recent volatility Because the bands are ATR-based, they automatically adapt to changing market conditions, expanding during high volatility and contracting during calmer periods. This makes the indicator suitable for both slow and fast markets without manual recalibration. Trend State Detection The color of the central filter dynamically reflects trend persistence, not just direction: Sustained upward movement highlights bullish conditions Sustained downward movement highlights bearish conditions Transitional phases are visually distinct, helping identify regime changes This logic is based on how long price has maintained directional behavior, reducing sensitivity to isolated candles or short-lived spikes. Practical Applications This indicator can be used as: A trend filter for discretionary or systematic strategies A context tool to evaluate pullbacks versus overextension A risk reference to avoid entries in extreme price zones A confirmation layer when combined with price action or momentum tools It performs consistently across different asset classes, including futures, cryptocurrencies, forex, indices, and equities. Configuration Key parameters such as filter length, damping factor, and band multipliers are fully configurable, allowing traders to adapt the indicator to different timeframes and trading styles. Important Notes This indicator does not predict future price movement It does not generate guaranteed buy or sell signals Best results are achieved when used in combination with sound risk management and additional confirmation tools Past behavior does not imply future performance Disclaimer This indicator is provided for educational and analytical purposes only and should not be considered financial advice. Se quiser, posso: Criar uma versão resumida para a primeira linha da publicação Ajustar o texto para um tom mais técnico ou mais comercial Traduzir para português mantendo o inglês como idioma principal Revisar o título para SEO dentro da Biblioteca Pública
Indicateur Pine Script®
par supfabio
Liquidity Entry Triggers (4-Model System) | WarRoomXYZLiquidity Entry Triggers is an open-source, price-action-based analytical framework designed to highlight recurring institutional liquidity behaviors that appear across all liquid markets. The script focuses on how and where liquidity is taken, rather than attempting to predict direction using oscillators or lagging indicators. It is optimized for XAUUSD, FX pairs, indices, and crypto , particularly on 1m–15m timeframes where session behavior and liquidity reactions are most visible. This tool is not a buy/sell signal generator . It provides contextual entry zones based on structural liquidity logic, allowing traders to apply their own execution rules. Core Philosophy Markets move because of: •Trapped traders •Forced liquidations •Session-based liquidity cycles •Reactions at prior institutional participation zones This script visualizes four repeatable entry triggers that emerge from those mechanisms. 🔹 1. Failed Breakout / Trapped Trader Model When price breaks a clearly defined range high or low, breakout traders often enter expecting continuation. If price fails to hold outside the range and closes back inside, those traders become trapped. The script detects: •Breaks beyond recent highs/lows •Immediate rejection back into the range •Structural failure of momentum These conditions frequently lead to mean reversion or reversal moves as trapped traders exit and fuel movement in the opposite direction. Markers are plotted at the point of failure to highlight potential trap zones. 🔹 2. Liquidation Flush Detection Sharp impulsive candles with abnormally large wicks often represent liquidation cascades rather than healthy trend continuation. The script identifies liquidation behavior by measuring: •Wick-to-body imbalance •Sudden expansion followed by rejection •Temporary price inefficiencies These flushes commonly occur near: •Session highs/lows •Range extremes •Trend exhaustion points Such events often lead to rebalance moves , where price partially or fully fills the wick. 🔹 3. Orderblock Reaction Zones Orderblocks represent areas where heavy participation occurred before a strong displacement move. The script highlights: •Clean bullish and bearish orderblock structures •Zones formed during consolidation prior to expansion •Areas likely to be defended when revisited Orderblocks with minimal noise and clean departure are prioritized, as they often reflect institutional positioning rather than retail activity. These zones are intended as reaction areas , not automatic entry signals. 🔹 4. London Session Liquidity Sweep Model The London session frequently establishes the initial daily high or low. Later in the session or during New York, price often: •Sweeps internal liquidity around that level •Rejects after the sweep •Continues with the higher-timeframe bias The script monitors London session behavior and marks: •Liquidity runs above/below London highs and lows •Rejections back inside the prior structure This model is especially effective when combined with broader daily context. 🔹4. How the Components Work Together The framework is designed as a context stack , not a checklist of signals: Liquidity Event → Location → Timing → Trader Execution Each model reinforces the others: •Failed breakouts often occur after liquidity sweeps •Liquidation wicks frequently form near orderblocks •London sweeps often trigger failed momentum moves •Confluence increases probability, not certainty 🔹 Practical Usage Guide ✔ Identify context Determine whether price is approaching a range extreme, session level, or prior participation zone. ✔ Wait for a liquidity event Look for a sweep, failed breakout, or liquidation wick. ✔ Observe reaction Rejection, displacement, or reclaim behavior provides confirmation. ✔ Execute manually Stops are commonly placed beyond the liquidity extreme. Targets are typically internal liquidity, prior highs/lows, or imbalance zones. The indicator does not manage trades or enforce rules. Execution and risk management remain the trader’s responsibility. 🔹 5. Originality & Design Notes This script does not replicate or bundle existing indicators. It introduces: •A multi-model liquidity entry framework •Structural failed breakout detection •Wick-based liquidation imbalance logic •Session-aware liquidity sweep visualization •A unified, minimal, non-lagging design All concepts are based on observable market behavior and integrated into a single analytical tool. 🔹 6. Suitable Markets & Timeframes Works best on: •XAUUSD •Major FX pairs •Indices •Liquid crypto markets Recommended timeframes: •1m •5m •15m •30m 🔹7. Limitations & Notes •This is an analytical framework , not a trading system •All markings are confirmed at candle close (non-repainting) •No open interest or order flow data is used •Results depend on user interpretation and execution •Best used alongside session bias and higher-timeframe structure Disclaimer This script is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any instrument. Trading involves risk, and losses can exceed initial deposits. The author assumes no responsibility for trading decisions made using this tool. Users are strongly encouraged to test this script in demo or simulation environments and to apply proper risk management, position sizing, and personal discretion at all times. By using this script, you acknowledge and accept all associated risks.
Indicateur Pine Script®
par WarroomXYZ
Capitulation Detector StrategyA multi-factor capitulation detector designed to identify exhaustion points in extended trends. It focuses on fading capitulation moves after multi-leg trends with extreme volume and price extension. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE CONCEPT Capitulation occurs when the last holders give up — panic selling into lows or euphoric buying into highs. These moments create asymmetric opportunities because: Sentiment becomes maximally skewed Weak hands are flushed out Price deviates far from equilibrium The "fuel" for continuation is exhausted ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE 6 FACTORS Trend Persistence — Price stays on one side of 38 EMA for 12+ bars, confirming a sustained directional move Acceleration — Price stays on one side of 5 EMA for 3+ bars, showing the move is accelerating into exhaustion Volume Spike — Current bar volume ≥ 2x the 20-bar average Body Expansion — Candle body ≥ 1.5x average, showing conviction/panic in the move Extension — Price is 2+ ATR away from the 38 EMA, indicating overextension from equilibrium Multi-Leg Structure — At least 3 consecutive lower lows (for longs) or higher highs (for shorts) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SIGNAL LOGIC Bullish Capitulation: 4+ factors align + price below 38 EMA + down candle + volume spike Bearish Capitulation: 4+ factors align + price above 38 EMA + up candle + volume spike The strategy enters counter-trend, fading the exhaustion move. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EXIT OPTIONS ATR-based stop loss (default: 2 ATR) ATR-based take profit (default: 3 ATR) Optional trailing stop Time filter for session-specific trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ BEST PRACTICES Works best on liquid instruments with clean trends More reliable after 3+ legs in the trend Higher conviction when daily AND intraday timeframes align "The bigger and more extended, the better" Consider VWAP as additional confirmation (not coded here) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS GUIDE Min Score: Increase for fewer, higher-quality signals Volume Spike Multiplier: 2x; increase for stricter filter Extension ATR: Higher values = more overextended setups only Trend Bars Min: Higher values = longer established trends required ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALERTS Bullish Capitulation (potential long) Bearish Capitulation (potential short) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DISCLAIMER This is a counter-trend strategy — inherently higher risk than trend-following. Always use proper position sizing and risk management. Backtest thoroughly on your specific instruments and timeframes.
Stratégie Pine Script®
par MagnetickAI
AMT Structure: 80% Traverse, PD Levels & nPOCsHere is a clean, professional description formatted for the TradingView description box. It highlights the methodology (AMT/80% Rule), the specific features, and the credits. Title: AMT Structure: 80% Traverse, PD Levels & nPOCs Description: This indicator is a comprehensive toolkit designed for futures traders utilizing Auction Market Theory (AMT) and Volume Profile strategies. It consolidates multiple scripts into a single, unified overlay to declutter your chart while providing essential structural references for the 80% Traverse setup, intraday context, and longer-term auction targets. Key Features: 1. 80% Rule / Traverse Setup (Chart Champions Logic) Automated RTH Open Detection: Hardcoded to the 08:30 AM CT Open to ensure accuracy for US Futures (ES/NQ) regardless of your chart's timezone settings. Value Area Logic: Automatically calculates the Previous Day's Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC). Setup Detection: If the market opens outside of the previous day's value, the script highlights the Value Area in color (default: Purple), signaling that an 80% traverse (filling the value area) is structurally possible if price re-enters value. Background Fill: Optional shading between VAH and VAL to clearly visualize the "playing field" for the traverse. 2. Auction Market Theory (AMT) Premarket Levels Overnight High/Low: Automatically captures the highest and lowest prices traded during the overnight session (17:00 - 08:30 CT). Breakout Alerts: Includes logic to detect and alert when these overnight levels are broken during the RTH session. Auto-Cleanup: Lines can be set to auto-delete after a specified time (default: 60 mins into the session) to keep the chart clean after the Initial Balance (IB) period. 3. Structural Reference Levels Previous Day Levels: Plots Previous Day High, Low, and Equilibrium (Midpoint) as standard reference lines. Initial Balance (IB): Option to display the First Hour High and Low (08:30 - 09:30 CT) to assess day type (Neutral, Trend, Normal Variation, etc.). RTH VWAP: An anchored VWAP that resets specifically at the RTH Open (08:30 CT), distinct from the standard 24-hour VWAP. 4. Naked Points of Control (nPOCs) Multi-Timeframe Tracking: Tracks and plots Naked POCs for Daily, Weekly, and Monthly profiles. Auto-Cleanup: Lines automatically delete themselves the moment price touches them, ensuring you only see untested levels. Customization: Toggle each timeframe on/off individually. Settings & Customization: Global Offset: Move all text labels to the right with a single setting to prevent price action from obscuring text. 8:30 Open Offset: Independent offset for the Open label to distinguish it from other opening references. Smart Coloring: Text labels automatically match their corresponding line colors for easy identification. Modular Toggles: Every section (AMT, VWAP, PD Levels, CCV, nPOCs) can be turned on or off individually to suit your specific trading plan. Usage: This tool is specifically tuned for ES and NQ futures trading but can be adapted for other instruments. It replaces the need for separate indicators for Overnight Highs/Lows, Previous Day Levels, and Volume Profile targeting.
Indicateur Pine Script®
par tantankatrading
1
ORB + Killzones - Universal AutoORB + Killzones • Universal Auto A clean overlay indicator that automatically plots 15-minute Opening Range Breakout (ORB) levels for major global sessions with full DST handling and optional Killzone shading. Key Features Universal auto-detection: adapts session times and timezones perfectly for crypto (24/7) and traditional markets (cash hours only) 15-minute ORB high/low lines for Tokyo, Hong Kong, China, London, and New York sessions Precise DST-aware London (Europe/London) and New York (America/New_York) sessions Optional translucent Killzone background shading: London Open (0800–1100), NY Open (0930–1100), London Close (1530–1630) — with custom colors and transparency Individual toggle switches for each session ORB and Killzone display Clean neon color scheme matching popular retrowave setups (Tokyo teal, HK magenta, China red, London blue, NY gold) Efficient drawing with persistent lines that extend until session end No repainting, low resource usage (max 250 lines, 60 labels) Ideal for ICT/SMC traders who want accurate multi-session ORBs and high-probability Killzone windows on any instrument or timeframe. Works on forex, indices, stocks, and crypto. Recommend to uncheck timeframes over 1 hour in the Visibility tab of the Settings.
Indicateur Pine Script®
par zenba_tv
Position Trdaing Lines (2 entries + live PnL)Position Trading Lines (2 entries + live PnL) is a utility script designed to visually manage a manual position on the chart, with clear TP/SL levels and real-time profit & loss. The script does not place orders. It is meant to help you simulate / track an existing or planned position. Features • Up to 2 trades on the same symbol • Each trade has: • Direction: Long / Short • Position size (lot) • Entry price • Take Profit (T.Profit) price • Stop Loss (S.Loss) price • Entry shift in bars from the last candle (to align with past or future entries) • Visual lines on the price chart • Horizontal line at the entry price • Horizontal line at Take Profit • Horizontal line at Stop Loss • Informative labels • Entry label showing: direction, size and @ entry price • TP and SL labels showing: • T.Profit / S.Loss • position size • @ price • estimated PnL at that level • If both trades share the same TP or SL price, a single combined label is shown with the total size and total PnL. • Commissions • Global commission input (percentage over notional). • Commission is included in all PnL calculations. • Live PnL label • Real-time combined PnL of the active trades, updated on the last bar. • Color changes with sign (green for profit, red for loss). • Selective PnL for Trade 2 • Trade 2 has a switch: “Count PnL in total”. • You can keep Trade 2 visible on the chart but exclude it from the combined PnL until it is actually active. This tool is useful for discretionary traders who want a clean visual representation of their position, R:R, and projected outcomes directly on the chart, without relying on the broker’s position panel.
Indicateur Pine Script®
par JBuru
FOMC Sweep Reaction AP Capital – FOMC Sweep Reaction v1.0 AP Capital – FOMC Sweep Reaction v1.0 is a news-reaction and liquidity-based trading tool designed specifically to track and trade FOMC volatility on Gold (XAUUSD) and other highly reactive instruments. The indicator focuses on liquidity sweeps, structure breaks, and EMA reclaims that commonly occur around Federal Reserve interest-rate decisions and Powell speeches, helping traders identify high-probability reversal or continuation moves after the initial spike. 🔍 What This Indicator Detects This tool highlights the most repeatable FOMC behaviours observed across multiple months of broker data: • Sweeps of previous day’s high or low • Stop-hunt wicks into liquidity pools • EMA13 reclaim after the news spike • Break and close beyond short-term structure • Momentum shift following volatility exhaustion The goal is not to predict the news, but to react to confirmed price behaviour after liquidity has been taken. 📌 Core Features • FOMC Sweep Detection Identifies aggressive wicks into prior highs/lows during news volatility • EMA Reclaim Confirmation Uses EMA13 to validate momentum shift after the sweep • Market Structure Awareness Filters reactions that fail to break structure to avoid false reversals • Session-Aligned Logic Designed around London → NY → FOMC release timing • Clean Visuals Minimal chart clutter for fast decision-making during volatile conditions 🧠 How to Use Wait for FOMC release / Powell speech Allow price to sweep previous liquidity (PDH / PDL / local extremes) Observe reclaim of EMA13 Enter only after structure confirmation Manage trade using EMA trailing or structure-based exits ⚠️ This is a reaction system, not a prediction tool. 📊 Best Use Cases • XAUUSD (Gold) • NASDAQ / US indices • High-impact macro news events • 5-min to 15-min timeframes ⚠️ Important Notes • News volatility is extreme — risk management is essential • Not designed for low-volatility or ranging markets • Best combined with a clear trading plan and strict risk rules 📎 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Trading during high-impact news events involves significant risk.
Indicateur Pine Script®
par APCapitalTrading
Optimized BTC Mean Reversion (RSI 20/65)📈 Optimized BTC Mean Reversion (RSI 20/65) Optimized BTC Mean Reversion (RSI 20/65) is a rule-based trading strategy designed to capture mean-reversion moves in strong market structures, primarily optimized for Bitcoin, but adaptable to other liquid cryptocurrencies. The strategy combines RSI extremes, Stochastic momentum, and EMA trend filtering to identify high-probability reversal zones while maintaining strict risk management. 🔍 Strategy Logic This system focuses on entering trades when price temporarily deviates from equilibrium, while still respecting the broader trend. ✅ Long Conditions RSI below 20 (oversold) Stochastic below 25 Price trading above the 200 EMA (or within a controlled deviation) Designed to buy sharp pullbacks in bullish conditions ❌ Short Conditions RSI above 65 (overbought) Stochastic above 75 Price trading below the 200 EMA Designed to sell relief rallies in bearish conditions 🛡 Risk Management Fixed Stop Loss: 4% Fixed Take Profit: 6% Risk/Reward: 1 : 1.5 No pyramiding (single position at a time) Full equity position sizing (adjustable) All exits are predefined at entry, ensuring consistency and emotional discipline. 📊 Indicators Used 200 EMA – Trend direction filter RSI (14) – Mean-reversion trigger (20 / 65 levels) Stochastic Oscillator – Momentum confirmation 👁 Visual Features EMA plotted directly on chart Real-time Stop Loss, Take Profit, and Entry Price lines Clear long/short entry markers Works on all timeframes (optimized for intraday and swing trading) 🔔 Alerts Long entry alerts Short entry alerts (Perfect for automation or discretionary execution) ⚠️ Disclaimer This strategy is intended for educational and research purposes only. Past performance does not guarantee future results. Always test on a demo account and adjust risk parameters to your own trading plan.
Stratégie Pine Script®
par malli_007
Ahmed Gold Signals - 5M LIVE (Frequent)📈 Gold (XAUUSD) Trading Signals – Precision-Based Strategy Our Gold signals are built on pure price action, not random indicators or guesswork. 🔍 How our signals are generated We focus on: 🧲 Liquidity Sweeps Identifying when price grabs stop-losses above highs or below lows and then reverses 📊 Clear trend direction using EMA 50 & EMA 200 ✅ Strong confirmation candles after the sweep 🎯 Entries only in the direction of the trend to increase accuracy 🔵 BUY Signals Bullish market structure Price sweeps liquidity below recent lows Strong bullish confirmation candle closes ➡️ High-probability BUY setup 🔴 SELL Signals Bearish market structure Price sweeps liquidity above recent highs Strong bearish confirmation candle closes ➡️ High-probability SELL setup ⏱️ Timeframe 5-minute chart (5M) Fast, precise signals ideal for scalping Gold 🛡️ Risk Management Stop loss placed beyond the liquidity sweep Clear take-profit targets Risk-to-reward typically 1:2 or better ⚠️ Important Notes We do not trade every move We wait for confirmation Quality over quantity — always
Indicateur Pine Script®
par kzg4ngnk6h
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe) Local timeframe (your chart TF): Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable). Each cloud is: One short EMA and one long EMA. A filled band between them. Color logic: Cloud is bullish when short EMA > long EMA (green/blue-ish tone). Bearish when short EMA < long EMA (red/orange/pink tone). You can choose: EMA vs SMA, Whether to show the lines, Per-cloud toggles. MTF Clouds: Two higher-timeframe EMA clouds: Cloud 1: 50/55 Cloud 2: 20/21 Computed on a higher TF (default D, but configurable). Show as thin lines + transparent bands. Used for: Visual higher-TF trend, Optional signal filter (MTF must agree for trades). 2. Saty Pivot Ribbon (time-warped EMAs) This is basically your Saty Pivot Ribbon integrated: Uses a “Time Warp” setting to overlay EMAs from another timeframe. EMAs: Fast, Pivot, Slow (defaults 8 / 21 / 34). Clouds: Fast cloud between fast & pivot EMAs. Slow cloud between pivot & slow EMAs. Bullish/bearish colors are distinct from Ripster colors. Optional highlights: Can highlight fast/pivot/slow lines separately. Conviction EMAs: 13 and 48 EMAs (configurable). When fast conviction EMA crosses over/under slow: You get triangle arrows (bullish/bearish conviction). Bias candles: If enabled, candles are recolored based on: Price vs Bias EMA, Candle up/down/doji, So you see bullish/bearish “bias” directly in candle colors. 3. DTR vs ATR panel (range vs average) In a small table panel (bottom-center by default): Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable). Measures current range (high–low) on that TF. Displays: DTR: X vs ATR: Y Z% (+/-Δ% vs prev) Where: Z% = current range / ATR * 100. Δ% = change vs previous bar’s Z%. Background color: Greenish for low move (<≈70%), Red for high move (≥≈90%), Yellow in between, Slightly dimmed when price is below bias EMA. This tells you: “Is today an average, quiet, or explosive day compared to normal?” 4. SMA Divergence panel Separate histogram & line panel: Fast and slow SMAs (default 14 & 30). Computes price divergence vs SMA in %: % above/below slow SMA, % above/below fast SMA. Shows: Slow SMA divergence as a semi-transparent column, Fast SMA divergence as a solid column on top, EMA of the slow divergence (trend line) colored: Blue when rising, Orange/red when falling. Static upper/lower bands with fill, plus optional zero line. This gives you a feel for how stretched price is vs its anchors. 5. RVOL table (relative volume) Small 3×2 table (bottom-right by default): Inputs: Average length (default 50 bars), Optionally show previous candle RVOL. Calculates: RVOL now = volume / avg(volume N bars) * 100, RVOL prev, RVOL momentum (now – prev) for data window only. Table columns: Candle Vol, RVOL (Now), RVOL (Prev). Colors: 200% → “high RVOL” color, 100–200% → “medium RVOL” color, <100% → “low RVOL” color, Slightly dimmer if price is below bias EMA. This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold). 6. Trend Dashboard (Price + 34/50 + 5/12) Top-right trend box with 3 rows: Price Action row: Uses either Bias EMA or custom EMA on close to say: Bullish (close > trend EMA), Bearish (close < trend EMA), Flat. Ripster 34/50 Cloud row: Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50. Ripster 5/12 Cloud row: Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12. Then it does a vote: Counts bullish votes (Price, 34/50, 5/12), Counts bearish votes, Depending on mode: Majority (2 of 3) or Strict (3 of 3). Output: Overall Bullish / Bearish / Sideways. You also get an optional label on the chart like Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear). 7. VWAP + Buy/Sell Signals VWAP is plotted as a white line. Fast “trend” cloud mid: average of 5 & 12 EMAs. Slow “trend” cloud mid: average of 34 & 50 EMAs. Buy condition: 5/12 crosses above 34/50 (bullish cloud flip), Price > VWAP, Optional filter: MTF Cloud 1 bullish (50/55 on higher TF), Optional filter: RVOL >= threshold. Sell condition: 5/12 crosses below 34/50, Price < VWAP, Optional same filters but bearish. When conditions are met: Plots BUY triangle up below price (distinct teal/green tone). Plots SELL triangle down above price (distinct magenta/orange tone). Alert conditions are defined for: BUY / SELL signals, Overall Bullish / Bearish / Sideways change, MTF Cloud 1 trend flips. 8. Data Window metrics For easy backtesting / inspection via TradingView’s data window, it exposes: DTR% (Current) and DTR% Momentum, RVOL% (Now), RVOL% (Prev), RVOL% Momentum. TL;DR – What does this script do for you? It turns your chart into a multi-framework trend and momentum dashboard: Ripster EMA clouds for short/medium trend & S/R. Saty Ribbon for higher-TF pivot structure and conviction. RVOL + DTR/ATR for context (is this a big and well-participated move?). SMA divergence panel for overextension/stretch. A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance. Buy/Sell markers + alerts when: short-term Ripster trend (5/12) flips over/under medium (34/50), price agrees with VWAP, plus optional filters (MTF trend and / or RVOL). Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
Indicateur Pine Script®
par chandrashekar_thippani
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)Extended Indicator Description Ichimoku + VWAP + OBV + ATR Full System is a rule-based intraday trading indicator designed specifically for NQ day trading, focusing on trend alignment, participation confirmation, and volatility-aware execution. This indicator does not rely on a single signal or crossover. Instead, it integrates multiple market dimensions into one structured framework to help traders identify high-probability trend continuation scenarios while avoiding low-quality, range-bound conditions. System Philosophy The core idea of this system is simple: trade only when trend, price location, volume, and volatility are aligned. Each component plays a specific role and is not meant to be used in isolation. The indicator works best when all conditions reinforce the same directional bias. Component Breakdown Ichimoku Cloud Used to define the primary market structure and directional bias. The system favors trades only when price action aligns clearly above or below the cloud, helping filter out indecisive or transitional phases. VWAP Acts as a session-based equilibrium reference. Price position and distance relative to VWAP are used to confirm whether the market is trending with intent rather than reverting to the mean. OBV (On-Balance Volume) Provides participation and flow confirmation. OBV helps validate whether price movement is supported by volume, reducing the likelihood of false breakouts or weak trend signals. ATR (Average True Range) Used as a volatility filter and risk-awareness tool. ATR conditions help the system avoid low-volatility environments and support more realistic expectations for intraday movement. Trade Logic Overview The system is designed around trend-following pullbacks, not prediction or counter-trend trading. When trend structure is established and confirmed by VWAP positioning and OBV behavior, pullback zones within the trend become areas of interest. ATR conditions ensure that trades are taken only when sufficient movement potential exists. Rather than generating frequent signals, the system prioritizes selectivity and clarity, making it suitable for disciplined day traders who value context over quantity. Intended Use This indicator is built for: NQ intraday and day trading Trend continuation and pullback strategies Traders who prefer structured, confirmation-based systems Lower to mid intraday timeframes such as 3-minute, 5-minute, and 15-minute charts Important Notes This is not an automated trading system and does not provide guaranteed results. The indicator is designed as a decision-support tool to assist with market context, directional bias, and trade timing. Risk management, execution, and position sizing remain the responsibility of the user. 롱/숏 삼각형 시그널 동그라미 청산 시그널 VWAP 밴드 기반 방향성 OBV 보조지표 이름 (Name) BTC Scalping Signal – VWAP + OBV 짧은 설명 (Short Description) VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다. 긴 설명 (Long Description) 이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다. VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다. OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다. 시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다. 삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Indicateur Pine Script®
par ninnikuya2294
Ichimoku Kijun OPTIMISED FOR 15MIN EURUSDWhen to Enter a Trade (The Kijun Bounce) We only enter when the market is clearly trending and we get a good pullback to the Kijun-sen (the red line). Market Quality Check (Anti-Chop): The price must be completely outside the Ichimoku Cloud (Kumo). This ensures we are not trading in a choppy, sideways market. Buy (Long) Entry: The price (low of the candle) drops down and touches the Kijun-sen (red line). The candle then closes above the Kijun-sen, confirming the trend is holding and the bounce is real. Sell (Short) Entry: The price (high of the candle) rises up and touches the Kijun-sen (red line). The candle then closes below the Kijun-sen, confirming the downtrend is holding and the rejection is real. How to Manage Risk and Exit We use a fixed profit target (Take Profit) and a dynamic Stop Loss (Trailing Stop) that follows the Kijun-sen. Risk per Trade: We risk 1.0 percent of the total account equity per trade. The initial Stop Loss distance is limited to 1.0 times the ATR, and is strictly capped at 1.0 percent of the price to prevent any single catastrophic loss. Take Profit (TP): The fixed profit target is set to a 1.5 Risk to Reward ratio (1.5 R:R) . This means the profit target is 1.5 times the size of the initial stop loss. Stop Loss (SL): The Stop Loss is a Trailing Stop that automatically moves with the Kijun-sen (red line). The Stop Loss will trail slightly below the Kijun-sen for a Buy trade, and slightly above the Kijun-sen for a Sell trade, protecting profits dynamically as the trend continues. Understanding the Trade Signals 🟢🟡 The Round Dots (Entry Signals) The small, round dots are placed directly on the candle where the strategy decided to enter a trade. The color tells you the direction: Lime Green Dot: Signals a confirmed Long (Buy) Entry. This happens on the candle where the price successfully bounced off the Kijun-sen (red line) and closed higher, and the market was outside the Kumo (the cloud). Red Dot: Signals a confirmed Short (Sell) Entry. This happens on the candle where the price was successfully rejected by the Kijun-sen (red line) and closed lower, and the market was outside the Kumo. ⬆️⬇️ The Arrows (Exit Signals) The arrows appear at the exact price level where the trade was closed (exited). The direction of the arrow indicates where the exit occurred relative to the market action, but the color is more important for determining the result: Exit Arrow (Often Green/Red): This signals a trade was closed for one of two reasons: Take Profit (Limit Hit): The trade moved in your favor and hit the fixed 1.5 R:R profit target. This is a successful, profitable exit. Stop Loss (Trailing Stop Hit): The market reversed against the position, and the trade was closed by the dynamic Kijun-sen Trailing Stop. This is a risk-controlled loss or a break-even exit. The size of these arrows is the default setting used by the strategy.exit() function in Pine Script to clearly mark the exit price on the chart. In Summary The dots tell you when to get in (Entry) based on the Kijun Reversion rule, and the arrows tell you when you got out (Exit) due to hitting either the target profit or the trailing stop loss.
Stratégie Pine Script®
par hushedDiamond97573
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME Density Zones (GM Crossing Clusters) + QHO Spin Flips OVERVIEW This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements* 1) Density Zones (GM Crossing Clusters) A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction. 2) QHO Spin Flips (Regression-Residual σ Breaches) A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling. These two systems are related but not identical: - Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM). - Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance. CORE CONCEPTS AND FORMULAS SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM) We define two moving averages: (1) MA1_t = SMA(close_t, L1) (2) MA2_t = SMA(close_t, L2) We define the equilibrium anchor as the geometric mean of MA1 and MA2: (3) GM_t = sqrt( MA1_t * MA2_t ) This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.” SECTION B — CROSS EVENTS (UP/DOWN) A “cross event” is registered when the sign of (close - GM) changes: Define a sign function s_t: (4) s_t = +1 if close_t > GM_t -1 if close_t < GM_t s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips) Then define the crossing event indicator: (5) crossEvent_t = 1 if s_t != s_{t-1} 0 otherwise Additionally, the indicator plots explicit cross markers: - Cross Above GM: crossover(close, GM) - Cross Below GM: crossunder(close, GM) These provide directional visual cues and match the original Geometric Mean Indicator behavior. SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT) A Density Zone is based on the number of cross events occurring in the last W bars: (6) D_t = Σ_{i=0..W-1} crossEvent_{t-i} This is a “crossing density” score: how many times price has toggled across GM recently. The script implements this efficiently using a cumulative sum identity: Let x_t = crossEvent_t. (7) cumX_t = Σ_{j=0..t} x_j Then: (8) D_t = cumX_t - cumX_{t-W} (for t >= W) cumX_t (for t < W) SECTION D — DENSITY ZONE TRIGGER We define a Density Zone state: (9) isDZ_t = ( D_t >= θ ) where: - θ (theta) is the user-selected crossing threshold. Zone edges: (10) dzStart_t = isDZ_t AND NOT isDZ_{t-1} (11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1} SECTION E — DENSITY ZONE BOUNDS While inside a Density Zone, we track the running high/low to display zone bounds: (12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t (13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t On dzStart: (14) dzHi_t := high_t (15) dzLo_t := low_t Outside zones, bounds are reset to NA. These bounds visually bracket the “singularity span” (the churn envelope) during each density episode. SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE) Define the regression equilibrium (LSR): (16) m_t = linreg(close_t, L, 0) This is the “centerline” the QHO system uses as equilibrium. SECTION G — RESIDUAL AND σ (FIELD WIDTH) Residual: (17) r_t = close_t - m_t Rolling standard deviation of residuals: (18) σ_t = stdev(r_t, L) This σ_t is the local volatility/width of the residual field around the regression equilibrium. SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP Define the standardized displacement: (19) Y_t = (close_t - m_t) / σ_t (If σ_t = 0, the script safely treats Y_t = 0.) Spin Flip trigger uses a user threshold κ: (20) spinFlip_t = ( |Y_t| > κ ) Directional spin flips: (21) spinUp_t = ( Y_t > +κ ) (22) spinDn_t = ( Y_t < -κ ) The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal). SECTION I — QHO BANDS (OPTIONAL VISUALIZATION) The indicator optionally draws the standard σ-bands around the regression equilibrium: (23) 1σ bands: m_t ± 1·σ_t (24) 2σ bands: m_t ± 2·σ_t (25) 3σ bands: m_t ± 3·σ_t These provide immediate context for the Spin Flip events. WHAT YOU SEE ON THE CHART 1) MA1 / MA2 / GM lines (optional) - MA1 (blue), MA2 (red), GM (green). - GM is the equilibrium anchor for Density Zones and cross markers. 2) GM Cross Markers (optional) - “GM↑” label markers appear on bars where close crosses above GM. - “GM↓” label markers appear on bars where close crosses below GM. 3) Density Zone Shading (optional) - Background shading appears while isDZ_t = true. - This is the period where the crossing density D_t is above θ. 4) Density Zone High/Low Bounds (optional) - Two lines (dzHi / dzLo) are drawn only while in-zone. - These bounds bracket the full churn envelope during the density episode. 5) QHO Bands (optional) - 1σ, 2σ, 3σ shaded zones around regression equilibrium. - These visualize the current variance field. 6) Regression Equilibrium (LSR Centerline) - The white centerline is the regression equilibrium m_t. 7) Spin Flip Markers - A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold). - Marker size is user-controlled (tiny → huge). HOW TO USE IT Step 1 — Pick the equilibrium anchor (GM) - L1 and L2 define MA1 and MA2. - GM = sqrt(MA1 * MA2) becomes your equilibrium boundary. Typical choices: - Faster equilibrium: L1=20, L2=50 (default-like). - Slower equilibrium: L1=50, L2=200 (macro anchor). Interpretation: - GM acts like a “center of mass” between two moving averages. - Crosses show when price flips from one side of equilibrium to the other. Step 2 — Tune Density Zones (W and θ) - W controls the time window measured (how far back you count crossings). - θ controls how many crossings qualify as a “density/singularity episode.” Guideline: - Larger W = slower, broader density detection. - Higher θ = only the most intense churn is labeled as a Density Zone. Interpretation: - A Density Zone is not “bullish” or “bearish” by itself. - It is a condition: repeated equilibrium toggling (high churn / high compression). - These often precede expansions, but direction is not implied by the zone alone. Step 3 — Tune the QHO spin flip sensitivity (L and κ) - L controls regression memory and σ estimation length. - κ controls how extreme the displacement must be to trigger a spin flip. Guideline: - Smaller L = more reactive centerline and σ. - Larger L = smoother, slower “field” definition. - κ=3.0 = strong extreme filter. - κ=2.0 = more frequent flips. Interpretation: - Spin flips mark when price exits the “normal” residual field. - In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium. Step 4 — Read the combined behavior (your key thesis) A) Density Zone forms (GM churn clusters): - Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope. - dzHi/dzLo show the envelope range. B) Expansion occurs: - Price can release away from the density envelope (up or down). - If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ). C) Re-coherence: - After a spin flip, price often returns toward equilibrium structures: - toward the regression centerline m_t - and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior. - The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes. IMPORTANT NOTES / DISCLAIMERS - This indicator is an analytical overlay. It does not provide financial advice. - Density Zones are condition states derived from GM crossing frequency; they do not predict direction. - Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute. - All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime. PARAMETER SUMMARY Geometric Mean / Density Zones: - L1: MA1 length - L2: MA2 length - GM_t = sqrt(SMA(L1)*SMA(L2)) - W: crossing-count lookback window - θ: crossing density threshold - D_t = Σ crossEvent_{t-i} over W - isDZ_t = (D_t >= θ) - dzHi/dzLo track envelope bounds while isDZ is true QHO / Spin Flips: - L: regression + residual σ length - m_t = linreg(close, L, 0) - r_t = close_t - m_t - σ_t = stdev(r_t, L) - Y_t = r_t / σ_t - spinFlip_t = (|Y_t| > κ) Visual Controls: - toggles for GM lines, cross markers, zone shading, bounds, QHO bands - marker size options for GM crosses and spin flips ALERTS INCLUDED - Density Zone START / END - Spin Flip UP / DOWN - Cross Above GM / Cross Below GM SUMMARY This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Indicateur Pine Script®
par Eyemaginative
Single Prints and Poor Highs/Lows [Real-Time]This indicator is designed for traders utilizing Auction Market Theory (AMT) who need real-time visibility into market structure inefficiencies. Unlike standard TPO tools that often wait for closed bars or finished sessions, this script builds a developing TPO profile tick-by-tick to identify Single Prints and Poor Highs/Lows the moment they form. Key Features: Real-Time Single Prints: Automatically detects and highlights areas of single-print inefficiencies (buying/selling tails) as they happen. These "ghost" boxes persist on the chart until price repairs (fills) them, acting as immediate targets or support/resistance zones. Poor High/Low Detection: Strictly implements AMT logic to identify "unfinished" auctions. If a session extreme is formed by two or more TPO blocks (indicating a flat top/bottom rather than a rejection tail), it marks the level with a dotted line. Repair Logic: Both Single Prints and Poor High/Low lines are dynamic. If price revisits and repairs the structure, the markers automatically vanish to keep your chart clean. Session Control: Fully customizable RTH (Regular Trading Hours) session input (default 08:30–15:15) to ensure profiles are built on relevant liquidity. Quantization: Adjustable "Ticks per Block" allowing you to tune the sensitivity of the TPO profile to different assets (ES, NQ, CL, etc.). How It Works: TPO Construction: The script breaks the session into 30-minute periods (configurable) and tracks price overlap. Single Prints: When the market expands rapidly, leaving gaps in the profile (single TPO blocks), a box is drawn. If price trades back through this box, it deletes itself. Poor Extremes: It monitors the current session High and Low. If the extreme price level has a TPO count of ≥ 2, it is flagged as "Poor." If the extreme is a single print (count = 1), it is considered a valid tail and left unmarked. Settings: RTH Session: Define your specific trading session time. TPO Period: Default is 30 minutes (standard AMT). Ticks per Block: Controls the vertical resolution of the TPO. (Higher values = coarser profile, Lower values = more precision). Colors: Fully customizable colors for Live Prints, Historical Prints, and Poor High/Low lines. Usage: Use this tool to spot immediate structural targets. A Poor High often acts as a magnet for price to revisit and "repair," while Single Prints often defend as support/resistance on the first retest.
Indicateur Pine Script®
par tantankatrading