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Pullback Master ProPullback Master Pro - Scalping & Swing Trading Indicator Perfect for both scalping and swing trading: For Scalpers (1-5 min charts): Quick pullback signals with fast EMA response Real-time RSI/volume confirmation for rapid entries Clean signals for fast in/out decisions For Swing Traders (1H-4H charts): Multi-timeframe trend filtering for higher accuracy Deep pullback detection for better risk/reward Sustained momentum signals for longer holds Core Features: Pullback detection with customizable depth Multi-timeframe trend alignment RSI + Volume + EMA confluence Adjustable signal display (opacity, position, size) Always-visible 3×6 data table Multiple themes and customization options One indicator for all timeframes - works equally well for quick scalps and strategic swing trades by adjusting the settings.
อินดิเคเตอร์ Pine Script®
โดย CareExtended
Session High Low - Multi SessionDraws horizontal lines showing the highest and lowest prices for three trading sessions (Asian, London, New York) each day. Labels them AH/AL, LH/LL, NH/NL. Lines extend across the chart so you can see these levels after the session ends. In one sentence: It draws daily high/low lines for three trading sessions with labels so you can see important price levels.
อินดิเคเตอร์ Pine Script®
โดย YourDisciplinedTrader
Macro Risk Sentiment - Intermarket Timing SignalOverview This indicator builds a composite macro sentiment score by analyzing intermarket relationships between bonds, credit spreads, the US dollar, and volatility. The core premise is that these markets often signal shifts in risk appetite before equities react, providing a timing edge for managing exposure. When macro conditions favor risk assets, the indicator signals RISK-ON (green). When conditions deteriorate, it signals RISK-OFF (red). This is not a predictive tool but rather a systematic way to assess the current macro environment. The Problem It Solves Markets do not move in isolation. Before major equity drawdowns, stress often appears first in credit markets, bonds, and volatility. By monitoring these leading indicators systematically, we can identify periods when holding equity exposure carries elevated risk. The goal is not to catch every move but to avoid the worst drawdowns by stepping aside when multiple macro factors align negatively. How It Works Step 1: Data Collection The indicator pulls daily data from four key markets: Risk-On Inputs (positive for equities when rising): - TLT (20+ Year Treasury Bonds): Rising bonds can signal improving liquidity or flight-to-safety ending - JNK (High-Yield Corporate Bonds): Rising junk bonds indicate credit conditions improving and risk appetite increasing Risk-Off Inputs (negative for equities when rising): - DXY (US Dollar Index): Strong dollar tightens global financial conditions and signals risk-off flows - VIX (Volatility Index): Elevated VIX indicates fear and hedging demand Step 2: Z-Score Normalization Each input trades at different absolute levels, so direct comparison is impossible. The indicator converts each to a z-score: how many standard deviations the current value is from its 252-day (1 year) average. A z-score of +1 means "unusually high relative to recent history." A z-score of -1 means "unusually low." This puts all inputs on the same scale. Step 3: Composite Calculation The macro score combines the normalized inputs: Macro Score = (TLT z-score + JNK z-score) - (DXY z-score + VIX z-score) The result is clamped between -1.5 and +1.5 to prevent outliers from dominating, then smoothed with an EMA to reduce noise. Step 4: Signal Generation Seven different methods are available for determining when conditions shift: 1. EMA Cross: Classic crossover between smoothed macro and its signal line 2. Slope: Simple direction of the macro trend 3. Momentum: Rate of change exceeding a threshold 4. Session Delta: Comparing today's reading to yesterday's 5. Pivot: Market structure analysis (higher lows vs lower highs) 6. Acceleration: Second derivative (is momentum increasing?) 7. Multi-Confirm: Requires 4 or more methods to agree Why These Specific Markets? Bonds (TLT) Treasury bonds often lead equities at turning points. When institutions rotate into bonds, it signals caution. When they rotate out, it signals risk appetite returning. Credit (JNK) High-yield bonds price credit risk faster than equities. Widening credit spreads (falling JNK) often precede equity weakness by days or weeks. Dollar (DXY) A strong dollar creates headwinds for multinational earnings, tightens global USD liquidity, and signals defensive positioning globally. Volatility (VIX) The options market prices fear before it manifests in price. Sustained elevated VIX readings indicate hedging demand and uncertainty. Research Application: Weekly Put Selling One application of this indicator is timing premium-selling strategies. I tested using the EMA Cross method to filter 7-day-to-expiration (7DTE) put sales on ES futures with 90% Profit Target and 600% Stop Loss, only selling puts when the indicator showed RISK-ON. Results with Macro Filter (2020-2025): - Trades: 200 - Win Rate: 96.0% - Total P/L: +$33,636 - Max Drawdown: 2.91% - Profit Factor: 3.51 Results without Filter (same period): - Trades: 357 - Win Rate: 96.1% - Total P/L: +$63,492 - Max Drawdown: 10.30% - Profit Factor: 2.90 Key Insight: The filtered approach made less total profit (fewer trades) but reduced maximum drawdown by 72% (from 10.30% to 2.91%). This significantly improves risk-adjusted returns and allows for potentially higher position sizing with confidence. Note: These results are from external backtesting on actual options data, not the TradingView backtest engine. Past performance does not guarantee future results. Features Seven configurable signal methods for different trading styles Adjustable weights for each data source Z-score normalization puts all inputs on equal footing Visual info table showing all metrics at a glance Background coloring for quick regime identification Alert conditions for signal changes Secondary plot showing method-specific metrics Settings Guide Macro Settings Z-Score Lookback (default 252): Period for calculating standard deviations. 252 equals approximately one trading year. Longer periods are more stable but slower to adapt. Macro EMA (default 7): Smoothing for the raw composite score. Lower values give faster but noisier signals. Signal EMA (default 8): Secondary smoothing for the signal line. Used primarily in EMA Cross method. Signal Method EMA Cross : Recommended starting point. Signals when smoothed macro crosses its signal line. Slope : Simpler approach based purely on trend direction. Momentum : Requires rate of change to exceed a threshold. Session Delta : Compares today to yesterday (daily timeframe focus). Pivot : Uses market structure (higher lows for bullish, lower highs for bearish). Acceleration : Measures change in slope (second derivative). Multi-Confirm : Conservative approach requiring 4+ methods to agree. Data Sources Each source can be enabled/disabled and weighted from 0 to 3 Default is equal weighting (1.0) for all four sources Experiment with emphasizing sources most relevant to your trading (tested on SPX) How to Use Basic Interpretation: Green background / RISK-ON: Macro conditions favor equity exposure Red background / RISK-OFF: Macro conditions suggest caution Arrow markers indicate regime changes For Risk Management: Use RISK-OFF signals to reduce position size or hedge Use RISK-ON signals to resume normal exposure Consider the indicator as one input among many, not a complete system For Options Strategies: Avoid selling premium during RISK-OFF periods Resume premium selling when RISK-ON returns This approach trades frequency for reduced tail risk Alert Setup: Set alerts on "Bullish Turn" and "Bearish Turn" conditions Receive notifications when the macro regime changes Research Ideas This indicator is designed as a research framework. Consider testing: Different signal methods for your specific strategy Adding or removing data sources based on what you trade Varying the z-score lookback for different market regimes Combining with price-based filters (moving averages, support/resistance) Using the multi-confirm method for higher-conviction signals only Limitations The indicator uses daily data, so intraday signals may lag Overnight gaps from surprise news cannot be anticipated False signals will occur, especially in choppy, range-bound markets The z-score lookback creates a recency bias; what was "normal" a year ago may not be relevant today Not all drawdowns are preceded by macro deterioration; some come from idiosyncratic events Past intermarket relationships may not persist in the future Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. Past performance does not guarantee future results The research results shared are from historical backtesting and may not reflect actual trading conditions Always conduct your own research and due diligence Consider your personal risk tolerance before making any trading decisions Never risk more than you can afford to lose Credits Intermarket analysis concepts draw from established macro trading principles. The multi-signal approach is original work designed to give users flexibility in how they interpret the macro data.
อินดิเคเตอร์ Pine Script®
โดย luiscaballero
HARSI RSI Shadow SHORT Strategy M1HARSI – Heikin Ashi RSI Shadow Indicator HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength. Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1. The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups.
กลยุทธ์ Pine Script®
โดย RumeryWise0288
The Cantillon Liquidity Trap [SFP] - PRORetail traders chase breakouts. Institutions engineer traps." The Problem: How often do you see price break a key High/Low, trigger your stop loss, and then immediately reverse in the other direction? This is not bad luck. This is a Liquidity Grab (Swing Failure Pattern). Institutions need your stop orders to fill their large positions. Once they are filled, the market reverses. How This Tool Helps: The Cantillon Liquidity Trap automatically detects these manipulation points in real-time. It does not just look for "wicks"—it uses a strict institutional algorithm to identify: Major Pivot Points: (Where the stops are hiding). The Sweep: (The stop run). The Failure: (Price closing back inside the range). Volume Confirmation: (Smart money absorption). The Signals: 🟥 TRAP (Bearish): A Swing High was swept, but buyers failed to hold. Look for Shorts. 🟩 GRAB (Bullish): A Swing Low was swept, but sellers were absorbed. Look for Longs. 🚀 How to Trade This (The Strategy): This tool provides the "WHEN" (The Trigger). To get the highest win rate, you must combine it with the "WHERE" (The Level). Optimum Setup: Wait for a "TRAP" signal that aligns perfectly with a Volume Shelf or AVWAP. When "Time" (SFP) meets "Location" (Cantillon Level), you have an A+ Institutional Setup. This is optimized for 4H, but feel free to play with it. 👇 Works best together with my "the cantillon overlay" signature below.
อินดิเคเตอร์ Pine Script®
โดย Thecantillonreport
1
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average - Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY) - Auto-detects asset type and applies optimized parameters for each instrument - Displays real-time session information and volatility status - Provides alert functionality with customizable cooldown periods ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Core Logic: ATR Trailing Stop】 The indicator calculates an ATR-based trailing stop using the formula: Trailing Stop = Price ± (Sensitivity × ATR) When price is above the trailing stop and rising, the stop trails below price. When price is below the trailing stop and falling, the stop trails above price. 【Signal Generation】 - BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop - SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop 【Session-Based Sensitivity Adjustment】 The indicator adjusts ATR sensitivity based on trading session (JST timezone): - Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets - London (15:00-23:00): Base sensitivity - moderate volatility - New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility 【Dynamic ATR Adjustment】 When enabled, the indicator compares current ATR to its smoothed average: - ATR Ratio = Current ATR / SMA(ATR, smoothing period) - Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio)) This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response). 【Auto Asset Detection】 The indicator automatically detects the traded instrument and applies optimized parameters: - Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8 - Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3 - Volatile pairs (GBPUSD): Base sensitivity 2.8 - Commodities (GOLD/XAUUSD): Base sensitivity 3.5 - Indices (NASDAQ/NAS100): Base sensitivity 4.0 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15 minutes or higher (15M, 1H, 4H recommended) - Best performance on: Forex majors, Gold, NASDAQ - Enable "Auto Asset Detection" for optimized parameters 【Entry Rules】 - BUY: Enter long when green BUY label appears - SELL: Enter short when pink SELL label appears 【Session Panel】 The top-right panel displays: - Current trading session (Tokyo/London/NY) - Volatility status (High Chance/Medium Chance/Caution) - Mode (AUTO/MANUAL) 【Alert Setup】 1. Enable "Viewer Alert Display" in settings 2. Set cooldown period (default: 15 minutes) to avoid signal spam 3. Create alert with "Any alert() function call" condition 【Important Notes】 - This indicator does not repaint - signals are confirmed at bar close - Lower timeframes (1M, 5M) may generate excessive signals - Always use proper risk management and confirm with other analysis ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ SETTINGS OVERVIEW 🎯 Alert Settings - Viewer Alert Display: Enable/disable alert labels - Cooldown Function: Prevent rapid consecutive signals - Cooldown Time: Minutes between alerts (5-60) 🔧 Dynamic ATR Settings - Enable Dynamic ATR: Auto-adjust based on volatility - ATR Period: Calculation period (default: 14) - ATR Smoothing: Smoothing period for ratio calculation - Volatility Sensitivity: How much to adjust (0.1-1.0) 🕐 Session ATR Adjustment - Enable Time Adjustment: Session-based sensitivity - Show Session Info: Display session panel 📊 Asset Settings - Auto Asset Detection: Automatically optimize for instrument - Manual settings available when auto-detection is disabled ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Based on the original UT Bot concept by QuantNomad. Enhanced with session-based adaptation and auto-asset detection by EduVest. License: Mozilla Public License 2.0
อินดิเคเตอร์ Pine Script®
โดย EduVest_doro
VWAP Gravity Oscillator (VGO) (Intraday Only)VWAP Gravity Oscillator (VGO) The VWAP Gravity Oscillator (VGO) is an intraday analytical indicator designed to quantify price displacement from VWAP and the rate of change of that displacement. The indicator models VWAP as a statistical equilibrium level and evaluates: Price deviation from VWAP (Delta) Momentum and acceleration of that deviation via MACD This framework enables assessment of trend persistence versus mean-reversion pressure in intraday price action. Methodology VWAP Delta Measures the signed distance between price and VWAP, representing directional bias relative to equilibrium. MACD on Delta Captures the first- and second-order dynamics of VWAP deviation, highlighting acceleration, deceleration, and potential inflection points. Zero Line Represents price–VWAP equilibrium. Crossings may indicate regime transitions. Interpretation Guidelines Positive Delta Price is trading above VWAP with positive directional bias. Negative Delta Price is trading below VWAP with negative directional bias. Increasing MACD Expansion of VWAP deviation (trend reinforcement). Decreasing or reversing MACD Contraction of VWAP deviation (mean-reversion risk). Intended Applications Intraday trend validation Early detection of trend exhaustion Mean-reversion risk assessment Filtering low-conviction or balanced market conditions Implementation Notes Designed exclusively for intraday timeframes Automatically suppressed on higher-timeframe charts Intended as a contextual analysis tool, not a standalone signal generator Conceptual Summary VGO evaluates whether price is diverging from, stabilising around, or reverting toward VWAP by analysing both displacement and its rate of change.
อินดิเคเตอร์ Pine Script®
โดย gokul4trading
Professional Grid & Reversal Bot v10 (Binance Style)Professional Grid & Reversal Bot v10 (Binance Style) – Open Source & Educational About this Script: This script is an advanced Grid Trading & Smart Reversal strategy, inspired by professional Binance-style execution. It is designed as an educational, open-source tool for traders who want to understand market dynamics, grid logic, and risk management. How it Works: 1️⃣ Grid Execution: • Divides the price range between the high and low into multiple levels (Grids). • Opens Buy orders in the lower half and Sell orders in the upper half. • Levels are calculated dynamically based on the highest and lowest prices over a selected lookback period. 2️⃣ Smart Reversal System: • Detects price touches on the high or low range boundaries to identify potential reversal points. • Opens Buy orders at the lows and Sell orders at the highs using a configurable confirmation percentage (revPct). • Helps traders capture short-term price swings effectively. 3️⃣ Risk & Size Management: • Position sizing based on USD amount and leverage. • Automatic Take Profit (TP) and Stop Loss (SL) for every trade. • Controls overtrading via the "pyramiding" parameter (max open trades). 4️⃣ Advanced Visualization: • Plots the grid range with high/low levels and fills the background for clear context. • Highlights potential Supply and Demand Zones. • Displays a dynamic "Binance-style" Order Book table showing Side, Price, Quantity, and PnL. 5️⃣ Key Counters & Indicators: • levelsArr → Stores all grid levels for execution and plotting. • touchedHigh / touchedLow → Monitors range touches to trigger reversals. • strategy.openprofit → Displays live open trade PnL directly on the chart. Additional Features: • Supports both English and Arabic languages. • Dark Theme optimized for readability. • Dynamic control panel updates on every bar. • Flexible settings for Auto or Manual grid range updates. User Guidance: • This script is for educational purposes only; it does not guarantee profits. • We recommend adjusting Grid Levels, Reversal Percentage, and Trade Size to experiment with different strategies. Community Engagement: • Suggestions and improvements are welcome! 💡 • If you have ideas for new features, let's develop them together to enhance learning. • Please support the script with a Like & Boost if you find it useful. • Encourages knowledge sharing to improve collective performance. License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Free for educational use only. Please give credit to the author when sharing or modifying the script.
กลยุทธ์ Pine Script®
โดย nazaralgeze
mua HARSI RSI Shadow Strategy M1 (Fixed)HARSI – Heikin Ashi RSI Shadow Indicator HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength. Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1. The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups. HARSI works best in liquid markets and can be used as a standalone momentum indicator or combined with trend filters such as moving averages or VWAP for higher-probability trades. Key Features: Zero-centered RSI oscillator (RSI − 50) Heikin Ashi–style smoothing to reduce noise Clear momentum-based entry signals Optimized for lower timeframes (M1 scalping) Suitable for both Spot and Futures trading
กลยุทธ์ Pine Script®
โดย RumeryWise0288
mua HARSI RSI Shadow Strategy M1 (Fixed)HARSI – Heikin Ashi RSI Shadow Indicator HARSI (Heikin Ashi RSI Shadow) is a momentum-based oscillator that combines the concept of Heikin Ashi smoothing with the Relative Strength Index (RSI) to reduce market noise and highlight short-term trend strength. Instead of plotting traditional price candles, HARSI transforms RSI values into a zero-centered oscillator (RSI − 50), allowing traders to clearly identify bullish and bearish momentum around the median line. The smoothing mechanism inspired by Heikin Ashi candles helps filter out false signals, making the indicator especially effective on lower timeframes such as M1. The RSI Shadow reacts quickly to momentum shifts while maintaining smooth transitions, which makes it suitable for scalping and intraday trading. Key threshold levels (such as ±20 and ±30) can be used to detect momentum expansion, exhaustion, and potential continuation setups. HARSI works best in liquid markets and can be used as a standalone momentum indicator or combined with trend filters such as moving averages or VWAP for higher-probability trades. Key Features: Zero-centered RSI oscillator (RSI − 50) Heikin Ashi–style smoothing to reduce noise Clear momentum-based entry signals Optimized for lower timeframes (M1 scalping) Suitable for both Spot and Futures trading
กลยุทธ์ Pine Script®
โดย RumeryWise0288
BULL Whale Finder + BTC 1hBULL Whale Finder + BTC 1h is a long-only strategy designed to capture strong impulsive moves in Bitcoin. It trades expansion (Whale) bars that appear in the direction of the trend, confirmed by the 200-period moving average on both 1H and 4H, with price holding above the 20-period moving average. Entries focus on impulsive moves that originate from structural zones, not late breakouts. Risk management is fully automated: ATR-based initial stop Automatic profit protection (Pay-Self) Adds and partial exits based on the expansion-bar sequence A protected runner managed with a trailing stop The user only sets the risk per trade (MLPT). All other parameters are hardcoded and locked to prevent over-optimization. 👉 Ready for backtesting, discretionary execution, or full automation.
กลยุทธ์ Pine Script®
โดย manueldelcura1
Triple Confirmation with Alerts//@version=5 indicator("Triple Confirmation with Alerts", overlay=true) // Confirmation 1: ADX Trend Strength adxlen = input(14, "ADX Length") dilen = input(14, "DI Length") = ta.dmi(dilen, adxlen) trendStrong = adx > 25 uptrend = diplus > diminus and trendStrong downtrend = diminus > diplus and trendStrong // Confirmation 2: Stochastic k = ta.sma(ta.stoch(close, high, low, 14), 3) d = ta.sma(k, 3) stochBullish = k > d and k <= d and k < 80 stochBearish = k < d and k >= d and k > 20 // Confirmation 3: Bollinger Bands bbLength = input(20, "BB Length") bbMult = input(2.0, "BB Multiplier") basis = ta.sma(close, bbLength) dev = bbMult * ta.stdev(close, bbLength) upper = basis + dev lower = basis - dev bbBullish = close > lower and close <= lower bbBearish = close < upper and close >= upper // Generate Signals buySignal = uptrend and stochBullish and bbBullish sellSignal = downtrend and stochBearish and bbBearish // Plot plotshape(buySignal, "Buy", shape.triangleup, location.belowbar, color.green, size=size.small) plotshape(sellSignal, "Sell", shape.triangledown, location.abovebar, color.red, size=size.small) // Alerts alertcondition(buySignal, "Triple Confirmation Buy", "Buy signal generated") alertcondition(sellSignal, "Triple Confirmation Sell", "Sell signal generated")
อินดิเคเตอร์ Pine Script®
โดย PodaAnjinadhari