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Opening Range Breakout (15 mins Range)Take the guesswork out of your trading with the Opening Range Breakout Pro script. This tool automatically marks the high and low of the first 15 minutes of the NYSE session, then highlights the first candle to break out above or below this range—removing ambiguity from your trade entries. The opening range is one of the most powerful concepts in day trading. By identifying the price range set during the market’s first minutes, you gain a clear framework for your trades. When price breaks out above the range, it often signals a strong bullish move; a break below signals bearish momentum. This script visually marks these moments, so you can react quickly and confidently. Why use Opening Range Breakout Pro? • Defined Entry and Exit Points: The script gives you clear, objective breakout levels—no more guessing when to enter a trade. • Removes Emotional Trading: With visual cues for breakouts, you can follow a systematic approach and avoid hesitation or FOMO. • Backtested, Time-Tested Strategy: The opening range breakout has been used by professional traders for decades to capture early trends and maximize profit potential. • High Reward Potential: By capitalizing on the volatility and momentum of the opening session, traders often catch the best moves of the day. • Easy to Use: Just add to your chart—no configuration needed. The script works on any NYSE stock, on a 5-minute chart. How it works: • Draws the opening 15-minute high and low as orange lines. • Labels the range prices for quick reference. • Marks the first candle to close above the range with an orange ▲, and the first to close below with an orange ▼. Take control of your trading day, remove uncertainty, and trade with confidence—just like the pros.
Penunjuk Pine Script®
oleh AhmedSalahuddin
Log Distance From MA + RibbonTaken inspiration from @dkncrypto from his "Percentage Distance from MA" indicator. I did a couple of very simple modifications. I added exotic calculations so that it works properly in charts that reach the zero value (like the yield curve). I also added a ribbon. It is now clearer when price is under resistance when compared to the deviation of it's trend. The standard price ribbon describes support/resistance levels based on absolute vertical price distance. The ribbon on the indicator I built describes support/resistance levels based around the trend of the price. One could couple it with the KST-Based MACD indicator I built. In my future analyses, I will consider skipping the standard price ribbon and consult the Distance-From-MA ribbon. Tread lightly, for this is hallowed ground. -Father Grigori
Penunjuk Pine Script®
oleh akikostas
1
Quick and Simple - WPR+RSI+CCITake a look. Couple of confluencial reversal signals from popular indicators (W%R, RSI & CCI). I can only say this shows how random the "stanard tools" are and how the market makers "play" these kind of tools to their advantage. That said. It's better tha average, but not top-class, so expect to have to take signals with other confluence. DON'T take the plots or signals as buy / sell signals, they are just confluencial movements from these indicators based on how they should be "traditionally" used. Instead, use it as a guide as to what other traders may be thinking, or as a pull-back identifier. Included 100 period ema as basic trend filter. Not my normal type of script + been away for some time so be kind, lol :) You might find it useful however so sharing. More stuff to follow :)
Penunjuk Pine Script®
oleh ballofpaper
1
Recursive Moving Trend Average Taken from an article "The Yen Recused" in the December 1998 issue of TASC, written by Dennis Meyers. He describes the Recursive MA in mathematical terms as "recursive polynomial fit, a technique that uses a small number of past values of the estimated price and today's price to predict tomorrows price." Red bars color - short position. Green is long. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Strategi Pine Script®
oleh HPotter
📋 Trading Checklist – Precision Entry SystemTake your trading discipline to the next level with this Precision Trading Checklist for TradingView. Designed for intraday traders following liquidity, structure, and Smart Money Concepts (SMC) AKA ICT Concepts, this overlay ensures you never miss a key confirmation before entering a trade. Features: ✅ Pre-Market Preparation: Track previous session highs/lows, AM/PM sessions, and key liquidity zones. ✅ Bias & Narrative Check: Quickly confirm daily trend, price position relative to daily open, and higher timeframe confluence. ✅ Session-Specific Rules: Focused sessions like Silver Bullet (10:00–11:30), Afternoon (13:30–15:00), and Final Hour (15:00–16:00). ✅ Structure & Setup Validation: Confirm liquidity sweeps, market structure shifts, expansion candles, fair value gaps, and order blocks. ✅ Risk Management Reminders: Stop-loss, target points, risk percentage, breakeven management, and pyramiding rules. ✅ Post-Trade Journaling: Document entries, session, setup type, trade outcome, and grading for continuous improvement. ✅ Golden Rules: Visual reminders to enforce discipline, avoid emotional trades, and respect session limits. Why Use It: This checklist is perfect for traders who want to stay consistent, minimise mistakes, and follow a disciplined routine. Displayed as an overlay on your chart, it provides all essential checks in one glance, keeping you focused on the setup rather than scrolling through notes or separate trackers. How to use: Add the indicator to your chart Click the settings/gear icon Check off items as you complete them The checklist on your chart updates in real-time with green checkmarks! The checkboxes will persist as long as the indicator is on your chart, making it perfect for tracking your pre-trade and post-trade routines! Follow the checklist items step by step before entering trades. Use the session-specific guidelines to filter setups. Journal your trades post-execution for growth and analysis.
Penunjuk Pine Script®
oleh rashid88
Kalman Step Signals [AlgoAlpha]Take your trading to the next level with the Kalman Step Signals indicator by AlgoAlpha! This advanced tool combines the power of Kalman Filtering and the Supertrend indicator, offering a unique perspective on market trends and price movements. Designed for traders who seek clarity and precision in identifying trend shifts and potential trade entries, this indicator is packed with customizable features to suit your trading style. Key Features 🔍 Kalman Filter Smoothing : Dynamically smooths price data with user-defined parameters for Alpha, Beta, and Period, optimizing responsiveness and trend clarity. 📊 Supertrend Overlay : Incorporates a classic Supertrend indicator to provide clear visual cues for trend direction and potential reversals. 🎨 Customizable Appearance : Adjust colors for bullish and bearish trends, along with optional exit bands for more nuanced analysis. 🔔 Smart Alerts : Detect key moments like trend changes or rejection entries for timely trading decisions. 📈 Advanced Visualization : Includes optional entry signals, exit bands, and rejection markers to pinpoint optimal trading opportunities. How to Use Add the Indicator : Add the script to your TradingView favorites. Customize inputs like Kalman parameters (Alpha, Beta, Period) and Supertrend settings (Factor, ATR Period) based on your trading strategy. Interpret the Signals : Watch for trend direction changes using Supertrend lines and directional markers. Utilize rejection entries to identify price rejections at trendlines for precision entry points. Set Alerts : Enable the built-in alert conditions for trend changes or rejection entries to act swiftly on trading opportunities without constant chart monitoring. How It Works The indicator leverages a Kalman Filter to smooth raw price data, balancing responsiveness and noise reduction using user-controlled parameters. This refined price data is then fed into a Supertrend calculation, combining ATR-based volatility analysis with dynamic upper and lower bands. The result is a clear and reliable trend-detection system. Additionally, it features rejection markers for bullish and bearish reversals when prices reject the trendline, along with exit bands to visualize potential price targets. The integration of customizable alerts ensures traders never miss critical market moves. Add the Kalman Step Signals to your TradingView charts today and enjoy a smarter, more efficient trading experience! 🚀🌟
Penunjuk Pine Script®
oleh AlgoAlpha
18
Range Oscillator Strategy + Stoch Confirm / Long Only by (Mara)Strategy Overview This script is a long-only trend-following strategy that combines: – Range-based trend filter (inspired by "Range Oscillator" by Zeiierman) – Stochastic (7 / 3 / 3) for pullback & entry timing – EMA Exit Filter for adaptive exits as default 70 Use it to backtest, tweak, and study how this combination behaves on different markets. 1. Trend Filter Trade longs only when the trend filter value is above the user-defined Threshold. If the filter ≤ Threshold → no new long entries. Threshold is adjustable in the settings. 2. Pullback Logic – Stochastic (7 / 3 / 3) While trend is bullish: Wait for %K to pull back below a chosen level (e.g. 50 or 20), then look for a bullish %K over %D crossover. All parameters are configurable. 3. Entry Conditions (Long Only) – Trend filter > Threshold – Stoch pullback condition met – Bullish %K > %D at bar close No short entries. 4. Stop Loss & Take Profit Configurable Stop Loss and optional Take Profit. Use Inputs to compare fixed RR vs. indicator/exit-based management. 5. EMA Exit Filter (Optional) Additional custom exit logic to react faster to weakening conditions. Toggleable in Inputs. 6. How to Test Try on BTC and major markets (1D / 4D / 1H) and review: net profit, drawdown, win rate, and robustness over multiple years. 7. Disclaimer This script is for testing, education, and strategy development only. It is not financial advice and not a guarantee of profits. Always manage your own risk.
Strategi Pine Script®
oleh jokiniemi
Serenity Model VIPI — by yuu_iuHere’s a concise, practical English guide for Serenity Model VIPI (Author: yuu_iu). It covers what it is, how to set it up for daily trading, how to tune it, and how we guarantee non-repainting. Serenity Model VIPI — User Guide (Daily Close, Non‑Repainting) Credits - Author: yuu_iu - Producer: yuu_iu - Platform: TradingView (Pine Script v5) 1) What it is Serenity Model VIPI is a multi‑module, context‑aware trading model that fuses signals from: - Entry modules: VCP, Flow, Momentum, Mean Reversion, Breakout - Exit/risk modules: Contrarian, Breakout Sell, Volume Delta Sell, Peak Detector, Overbought Exit, Profit‑Take - Context/memory: Learns per Ticker/Sector/Market Regime and adjusts weights/aggression - Learning engine: Runs short “fake trades” to learn safely before scaling real trades It produces a weighted, context‑adjusted score and a final decision: BUY, SELL, TAKE_PROFIT, or WAIT. 2) How it works (high level) - Each module computes a score per bar. - A fusion layer combines module scores using accuracy and base weights, then adjusts by: - Market regime (Bull/Bear/Sideways) and optional higher‑timeframe (HTF) bias - Risk control neuron - Context memory (ticker/sector/regime) - Optional LLM mode can override marginal cases if context supports it. - Final decision is taken at bar close only (no intrabar repaint). 3) Non‑repainting guarantee (Daily) - Close‑only execution: All key actions use barstate.isconfirmed, so signals/entries/exits only finalize after the daily candle closes. - No lookahead on HTF data: request.security() reads prior‑bar values (series ) for HTF close/EMA/RSI. - Alerts at bar close: Alerts are fired once per bar close to prevent mid‑bar changes. What this means: Once the daily bar closes, the decision and alert won’t be repainted. 4) Setup (TradingView) - Paste the Pine v5 code into Pine Editor, click Add to chart. - Timeframe: 1D (Daily). - Optional: enable a date window for training/backtest - Enable Custom Date Filter: ON - Set Start Date / End Date - Create alert (non‑repainting) - Condition: AI TRADE Signal - Options: Once Per Bar Close - Webhook (optional): Paste your URL into “System Webhook URL (for AI events)” - Watch the UI - On‑chart markers: AI BUY / AI SELL / AI TAKE PROFIT - Right‑side table: Trades, Win Rate, Avg Profit, module accuracies, memory source, HTF trend, etc. - “AI Thoughts” label: brief reasoning and debug lines. 5) Daily trading workflow - The model evaluates at daily close and may: - Enter long (BUY) when buy votes + total score exceed thresholds, after context/risk checks - Exit via trailing stop, hard stop, TAKE_PROFIT, or SELL decision - Learning mode: - Triggers short “fake trades” every N bars (default 3) and measures outcome after 5 bars - Improves module accuracies and adjusts aggression once stable (min fake win% threshold) - Memory application: - When you change tickers, the model tries to apply Ticker or Sector memory for the current market regime to pre‑bias module weights/aggression. 6) Tuning (what to adjust and why) Core controls - Base Aggression Level (default 1.0): Higher = more trades and stronger decisions; start conservative on Daily (1.0–1.2). - Learning Speed Multiplier (default 3): Faster adaptation after fake/real trades; too high can overreact. - Min Fake Win Rate to Exit Learning (%) (default 10–20%): Raises the bar before trusting more real trades. - Fake Trade Every N Bars (default 3): Frequency of learning attempts. - Learning Threshold Win Rate (default 0.4): Governs when the learner should keep learning. - Hard Stop Loss (%) (default 5–8%): Global emergency stop. Multi‑Timeframe (MTF) - Enable Multi‑Timeframe Confirmation: ON (recommended for Daily) - HTF Trend Source: HOSE:VNINDEX for VN equities (or CURRENT_SYMBOL if you prefer) - HTF Timeframe: D or 240 (for a strong bias) - MTF Weight Adjustment: 0.2–0.4 (0.3 default is balanced) Module toggles and base weights - In strong uptrends: increase VCP, Momentum, Breakout (0.2–0.3 typical) - In sideways low‑vol regimes: raise MeanRev (0.2–0.3) - For exits/defense: Contrarian, Peak, Overbought Exit, Profit‑Take (0.1–0.2 each) - Keep Flow on as a volume‑quality filter (≈0.2) Memory and control - Enable Shared Memory Across Tickers: ON to share learning - Enable Sector‑Based Knowledge Transfer: ON to inherit sector tendencies - Manual Reset Learning: Use sparingly to reset module accuracies if regime changes drastically Risk management - Hard Stop Loss (%): 5–8% typical on Daily - Trailing Stop: ATR‑ and volatility‑adaptive; tightens faster in Bear/High‑Vol regimes - Max hold bars: Shorter in Bear or Sideways High‑Vol to cut risk Alerts and webhook - Use AI TRADE Signal with Once Per Bar Close - Webhook payload is JSON, including event type, symbol, time, win rates, equity, aggression, etc. 7) Recommended Daily preset (VN equities) - MTF: Enable, Source: HOSE:VNINDEX, TF: D, Weight Adj: 0.3 - Aggression: 1.1 - Learning Speed: 3 - Min Fake Win Rate to Exit Learning: 15% - Hard SL: 6% - Base Weights: - VCP 0.25, Momentum 0.25, Breakout 0.15, Flow 0.20 - MeanRev 0.20 (raise in sideways) - Contrarian/Peak/Overbought/Profit‑Take: 0.10–0.20 - Leave other defaults as is, then fine‑tune by symbol/sector. 8) Reading the UI - Table highlights: Real Trades, Win Rate, Avg Profit, Fake Actions/Win%, VCP Acc, Aggression, Equity, Score, Status (LEARNING/TRADING/REFLECTION), Last Real, Consec Loss, Best/Worst Trade, Pattern Score, Memory Source, Current Sector, AI Health, HTF Trend, Scheduler, Memory Loaded, Fake Active. - Shapes: AI BUY (below bar), AI SELL/TAKE PROFIT (above bar) - “AI Thoughts”: module contributions, context notes, debug lines 9) Troubleshooting - No trades? - Ensure timeframe is 1D and the date filter covers the chart range - Check Scheduler Cooldown (3 bars default) and that barstate.isconfirmed (only at close) - If MTF is ON and HTF is bearish, buy bias is reduced; relax MTF Weight Adjustment or module weights - Too many/too few trades? - Lower/raise Base Aggression Level - Adjust base weights on key modules (raise entry modules to be more active; raise exit/defense modules to be more selective) - Learning doesn’t end? - Increase Min Fake Win Rate to Exit Learning only after it’s consistently stable; otherwise lower it or reduce Fake Trade Every N Bars 10) Important notes - The strategy is non‑repainting at bar close by design (confirmed bars + HTF series + close‑only alerts). - Backtest fills may differ from live fills due to slippage and broker rules; this is normal for all TradingView strategies. - Always validate settings across multiple symbols and regimes before going live. If you want, I can bundle this guide into a README section in your Pine code and add a small on‑chart signature (Author/Producer: yuu_iu) in the top‑right corner.
Strategi Pine Script®
oleh Thach999
1
JSONWebhooksLibrary "JSONWebhooks" TODO: add library description here method buildWebhookJson(msg, constants)   Builds the final JSON payload from a webhookMessage type.   Namespace types: webhookMessage   Parameters:      msg (webhookMessage) : (webhookMessage) A prepared webhookMessage.      constants (CONSTANTS)   Returns: A JSON Payload. method buildTakeProfitJson(msg)   Builds the takeProfit JSON message to be used in a webhook message.   Namespace types: takeProfitMessage   Parameters:      msg (takeProfitMessage) : (takeProfitMessage)   Returns: A JSON takeProfit payload. method buildStopLossJson(msg, constants)   Builds the stopLoss JSON message to be used in a webhook message.   Namespace types: stopLossMessage   Parameters:      msg (stopLossMessage) : (stopLossMessage)      constants (CONSTANTS)   Returns: A JSON stopLoss payload. CONSTANTS   Constants for payload values.   Fields:      ACTION_BUY (series string)      ACTION_SELL (series string)      ACTION_EXIT (series string)      ACTION_CANCEL (series string)      ACTION_ADD (series string)      SENTIMENT_BULLISH (series string)      SENTIMENT_BEARISH (series string)      SENTIMENT_LONG (series string)      SENTIMENT_SHORT (series string)      SENTIMENT_FLAT (series string)      STOP_LOSS_TYPE_STOP (series string)      STOP_LOSS_TYPE_STOP_LIMIT (series string)      STOP_LOSS_TYPE_TRAILING_STOP (series string) webhookMessage   Final webhook message.   Fields:      ticker (series string)      action (series string)      sentiment (series string)      price (series float)      quantity (series float)      takeProfit (series string)      stopLoss (series float) takeProfitMessage   Take profit message.   Fields:      limitPrice (series float)      percent (series float)      amount (series float) stopLossMessage   Stop loss message.   Fields:      type (series string)      percent (series float)      amount (series float)      stopPrice (series float)      limitPrice (series float)      trailPrice (series float)      trailPercent (series float)
Perpustakaan Pine Script®
oleh MocRarciano
TradersPost WebhookMessage Library - Automatically Build JSONLibrary "WebhookMessageLibrary" The webhook message library provides several functions for building JSON payloads method buildWebhookJson(msg, constants)   Builds the final JSON payload from a webhookMessage type.   Namespace types: webhookMessage   Parameters:      msg (webhookMessage) : (webhookMessage) A prepared webhookMessage.      constants (CONSTANTS)   Returns: A JSON Payload. method buildTakeProfitJson(msg)   Builds the takeProfit JSON message to be used in a webhook message.   Namespace types: takeProfitMessage   Parameters:      msg (takeProfitMessage) : (takeProfitMessage)   Returns: A JSON takeProfit payload. method buildStopLossJson(msg, constants)   Builds the stopLoss JSON message to be used in a webhook message.   Namespace types: stopLossMessage   Parameters:      msg (stopLossMessage) : (stopLossMessage)      constants (CONSTANTS)   Returns: A JSON stopLoss payload. CONSTANTS   Constants for payload values.   Fields:      ACTION_BUY (series string)      ACTION_SELL (series string)      ACTION_EXIT (series string)      ACTION_CANCEL (series string)      ACTION_ADD (series string)      SENTIMENT_BULLISH (series string)      SENTIMENT_BEARISH (series string)      SENTIMENT_LONG (series string)      SENTIMENT_SHORT (series string)      SENTIMENT_FLAT (series string)      STOP_LOSS_TYPE_STOP (series string)      STOP_LOSS_TYPE_STOP_LIMIT (series string)      STOP_LOSS_TYPE_TRAILING_STOP (series string) webhookMessage   Final webhook message.   Fields:      ticker (series string)      action (series string)      sentiment (series string)      price (series float)      quantity (series int)      takeProfit (series string)      stopLoss (series string) takeProfitMessage   Take profit message.   Fields:      limitPrice (series float)      percent (series float)      amount (series float) stopLossMessage   Stop loss message.   Fields:      type (series string)      percent (series float)      amount (series float)      stopPrice (series float)      limitPrice (series float)      trailPrice (series float)      trailPercent (series float)
Perpustakaan Pine Script®
oleh TradersPostInc
1
WebhookMessageDevLibrary "WebhookMessageDev" The webhook message library provides several functions for building JSON payloads method buildWebhookJson(msg)   Builds the final JSON payload from a webhookMessage type.   Namespace types: webhookMessage   Parameters:      msg (webhookMessage) : (webhookMessage) A prepared webhookMessage.   Returns: A JSON Payload. method buildTakeProfitJson(msg)   Builds the takeProfit JSON message to be used in a webhook message.   Namespace types: takeProfitMessage   Parameters:      msg (takeProfitMessage) : (takeProfitMessage)   Returns: A JSON takeProfit payload. method buildStopLossJson(msg)   Builds the stopLoss JSON message to be used in a webhook message.   Namespace types: stopLossMessage   Parameters:      msg (stopLossMessage) : (stopLossMessage)   Returns: A JSON stopLoss payload. webhookMessage   Final webhook message.   Fields:      ticker (series string)      action (series string)      sentiment (series string)      price (series float)      quantity (series int)      takeProfit (series string)      stopLoss (series string) takeProfitMessage   Take profit message.   Fields:      limitPrice (series float)      percent (series float)      amount (series float) stopLossMessage   Stop loss message.   Fields:      type (series string)      percent (series float)      amount (series float)      stopPrice (series float)      limitPrice (series float)      trailPrice (series float)      trailPercent (series float)
Perpustakaan Pine Script®
oleh TradersPostInc
1