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AI-JX Strategy### 🤖 Core Features AI-JX v3.3 is an AI-powered comprehensive trading strategy system developed with PineScript v6, integrating multiple advanced technical analysis tools and machine learning algorithms. ### 📊 Main Functional Modules 1. AI Learning System - Adaptive Parameter Optimization : Automatically learns and adjusts trading parameters - Three Strategy Modes : Conservative (ranging markets), Aggressive (trending markets), Balanced (universal) - Dynamic Weight Adjustment : Intelligently allocates weights to different strategies based on market conditions - Learning Memory Mechanism : Records historical trading data for continuous strategy optimization 2. Technical Indicator System - SuperTrend Indicator : ATR-based trend following system - Heikin Ashi Smoothing : Reduces market noise for clearer trend signals - Standard Deviation Channels : Multi-level support and resistance analysis - Trend Distribution Profile : Visualizes price distribution and trend strength - Multi-Timeframe Analysis : Comprehensive analysis across 5m, 15m, and 1h timeframes 3. Intelligent Signal Generation - Traditional Signals : Classic buy/sell signals based on SuperTrend - AI Smart Signals : Comprehensive scoring system combining RSI, MACD, and ATR - False Breakout Detection : Identifies and filters fake breakout signals - Price Confirmation Mechanism : Ensures signal validity and reliability 4. Risk Management System - Dynamic Stop Loss/Take Profit : Long 3% TP/1.5% SL, Short 2:1 risk-reward ratio - Slippage Monitoring : Real-time market slippage risk assessment - Volatility Filtering : Adjusts trading strategy based on ATR - Position Management : Smart capital allocation and risk control 5. Visualization Panels - Statistics Panel : Displays key data like trade count, win rate, current strategy - AI Learning Panel : Shows strategy weights and learning progress - Prediction Panel : Real-time AI analysis and trading recommendations - Chart Markers : Clear buy/sell signals and trend line displays 6. Alert System - Multiple Alert Types : Buy, sell, take profit, and stop loss notifications - Personalized Messages : Fun "WangWang" themed alert messages - Real-time Notifications : Precise alerts with maximum one per bar frequency ### 🎯 Key Advantages - AI-Driven : Machine learning optimization for better performance - Multi-Strategy : Adapts to different market conditions automatically - Risk-Controlled : Comprehensive risk management with dynamic adjustments - User-Friendly : Intuitive interface with detailed visualization panels - Highly Customizable : Extensive parameter settings for different trading styles
Pine Script™ 전략
shaw_gao의
W Bottom Reversal Strategy W Bottom Reversal Strategy (15m-close entries; intrabar TP; daily MACD exit; JSON alerts v49.3-expire2) Overview A precision reversal strategy designed for 15-minute charts on liquid symbols. It detects a capitulation-and-stabilization “W” base using 1-hour (1H) context, confirms momentum improvement, then enters only on bar close to avoid early/“ghost” signals. Exits combine a fast intrabar take-profit (~2.7%) with a daily MACD risk-off exit that closes positions when higher-timeframe momentum turns against the setup. How it works (high-level, matching code) 1H volatility + oversold gate (arming) Compute 1H Bollinger-style bands (basis = SMA(close, bbLength=20), stdev multiplier bbMult=2.0). Arm the setup when a 1H bar closes with price < 1H lower band and 1H RSI( rsiLength=14 ) < rsiThreshold (default 20.0). 1H momentum flip → pending entry When a new 1H bar closes and 1H MACD line (EMA12−EMA26) crosses above 0 while armed and flat, set an entryPending flag. This does not enter yet—it prepares a confirmed, bar-close entry on the lower timeframe. Bar-close execution on the chart timeframe (15m) On the next 15m bar close (or within N bars, see below) and still flat, fire the entry using a limit order at close × (1 − 0.00001) (≈ 0.001% below close) to reduce slippage and maintain chart/alert alignment. Anti-late filter (no stale triggers) If the pending entry doesn’t trigger within N chart bars (input: “Pending entry valid for N chart bars”, default 1, range 1–8), it expires and the arm state resets. This prevents late fills long after the 1H confirmation. Exit logic Primary: Standing intrabar take-profit at +2.7% from the average entry price (managed via strategy.exit limit). Risk-off: On daily bar close, if Daily MACD line (EMA12−EMA26) crosses under 0, close the position (flat on daily momentum flip). Default Properties (used for this publication) Timeframe: 15m (with 1H and Daily higher-timeframe confirmations via request.security) Initial capital: $10,000 Position sizing: Percent of equity = 10% per trade (enters only when flat; no stacking while in a position) Commission: 0.05% per side Slippage: Recommend 1 tick in Strategy Properties for realistic fills Inputs exposed: BB Length: 20 • BB Multiplier: 2.0 RSI Length: 14 • RSI Threshold: 20.0 MACD: Short 12, Long 26, Signal 9 (signal kept for compatibility; logic uses MACD line vs 0) Pending entry valid for N chart bars: default 1 (1–8) Execution behavior (per code): calc_on_every_tick = false (evaluates on bar close) process_orders_on_close = true (orders placed at bar close) Limit entry at close −0.001% Intrabar TP (2.7%) Daily risk-off exit on MACD<0 at daily bar close Alerts (exact behavior in code) Uses alert() function calls with standardized JSON. Set your alert to “Only alert() function calls” and “Once per bar close.” Two events are emitted: LONG_CONFIRMED on entry fire (15m bar close) EXIT_CONFIRMED_DAILY_MACD on daily MACD<0 (daily bar close) JSON fields include: event, version ("v49.3-expire2"), symbol, interval, price, and time. How to use Apply on liquid tickers (tight spreads, healthy volume). Keep defaults initially; run across a broad, liquid watchlist to gather a proper sample. For automation, route bar-close alerts to your executor; confirm broker lot/route settings and that limit orders at close −0.001% are acceptable. Expect fewer signals in powerful trends; the daily risk-off helps cut failed bases. Methodology & expectations (results transparency) Evaluate on a dataset yielding 100+ trades before drawing conclusions. Keep commission & slippage enabled (see defaults). Risk sizing: With 10% of equity per trade and flat-to-flat entries, exposure aligns with typical 5–10% guidance. No performance guarantees—outcomes depend on symbol selection, volatility regime, news, and execution quality. Originality & value (vendor justification) While it uses familiar building blocks (BB/RSI/MACD), the edge comes from the 1H volatility + oversold arming, 1H momentum flip, strict 15m bar-close limit execution, and the N-bar pending expiry that prevents stale triggers—paired with a dual-exit design (intrabar TP + daily risk-off). The focus is on reducing premature fills, keeping alerts 1:1 with chart marks, and capturing the first impulse out of a W-base. Disclaimers For educational purposes only; not financial advice. Paper-test first. Verify alerts, fills, and symbol liquidity with your broker before live use. Changelog: v49.3-expire2 — Bar-close limit entries; anti-late pending window; standardized JSON alerts; intrabar 2.7% TP; daily MACD risk-off exit.
Pine Script™ 전략
Zeric_Alpha_Capital_LLC의
2
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools. Recommended Input Parameters These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading. Fast EMA Length (emaFastLen): 9 Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe. Slow EMA Length (emaSlowLen): 21 Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction. RSI Length (rsiLen): 14 Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes. RSI Overbought (rsiOverbought): 75 Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets. RSI Oversold (rsiOversold): 25 Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals. MACD Fast Length (macdFast): 12 Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals. MACD Slow Length (macdSlow): 26 Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much. MACD Signal Smoothing (macdSignal): 9 Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart. Bollinger Bands Length (bbLen): 20 Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets. Bollinger Bands Multiplier (bbMult): 2.0 Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets. Stop Loss % (slPerc): 0.8% Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable. Take Profit % (tpPerc): 1.5% Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits. Use Candlestick Patterns (useCandlePatterns): True Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets. Use Volume Filter (useVolumeFilter): True Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets. Signal Arrow Size (signalSize): 2.0 Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action. Background Highlight Transparency (bgTransparency): 85 Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter. How to Apply These Parameters Copy the Script: Use the Pine Script provided in the previous response. Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart." Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields. Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart. Fine-Tuning for Optimal Performance To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features: Backtesting: Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance). Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester. Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways). Parameter Optimization: In the Strategy Tester, click the settings gear next to the strategy name. Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0). Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data. Market-Specific Adjustments: Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings. Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better. Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends. Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise. Forward Testing: After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions. Important Notes No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices. Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance. Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare. Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds. If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Pine Script™ 전략
Hilly1976의
dabilThe strategy is probably to go short or long with the trend depending on the case, but if all time units 1 minute then 3 minutes then 5 minutes then 15 minutes then 1 hour all show the same direction, but first the 1 hour must be bullish in which the 1 hour candle closes above the previous one, for example if the trend is bearish then the market wants to change direction, then a 1 hour bullish close must then be followed by a 1 hour bearish close below the bullish candle, then another bullish candle must shoot above the previous bullish candle, then 15 minutes also shoot above the previous 15 bullish candles, then 1 and 2...3.5. Then I can rise with the market by only covering the last 15 bullish candles with my stop loss, if my SL is 50 pips then I want 100 pips and then I'm out.
Pine Script™ 전략
omarenade의
1
My Backtest Module### 📊 Universal Backtest Module - Pro Structure **A Fully Customizable Strategy Framework for Advanced Backtesting & Signal Analysis** This powerful Pine Script strategy is designed as a **universal testing module** for traders and developers who want to evaluate custom trading logic across multiple conditions, timeframes, and risk parameters — all within a single, flexible structure. > ⚠️ **Note:** This script is intended for **educational and backtesting purposes only**. It does **not** provide financial advice, nor does it guarantee profits. Always test strategies thoroughly before applying them to live markets. --- ### 🔧 Key Features ✅ **Multi-Source Entry Signals** Combine up to two independent buy/sell signals using flexible logic: - **OR Logic**: Trigger on any signal (edge-based). - **AND Logic (Latched)**: Requires both signals at any point (flip-flop style). - **AND No Latch**: Both signals must be active simultaneously. ✅ **Dynamic Trade Direction Control** Choose between: - Long & Short (Both) - Long Only - Short Only With optional **close-on-opposite-signal** and **wait-for-opposite-reentry** logic. ✅ **Precision Timing Filters** - Date range filtering (start/end dates) - Intraday session control (supports up to 3 custom sessions) - Visual session shading for clarity ✅ **Advanced Risk Management** - Multiple Stop Loss types: - Fixed Points / Percent - ATR-based (adjustable multiplier) - Swing-based (automatically detects pivots) - External SL source - Dynamic position sizing: - Fixed lot - % of equity risk (with max fallback) ✅ **Smart Take Profit Options** - Fixed Points, Percent, RR Ratio, ATR, Fibonacci extensions - Support for **external TP levels** (user-defined sources) - Optional **multiple partial exits** with customizable size distribution - Fibonacci TP levels (1.0, 1.618, 2.618, 4.236) based on SL distance ✅ **Flexible Exit Tools** - Breakeven stop activation after TP1 hit - Internal swing-based trailing stop - External trailing stop (custom source) - Max holding time (auto-close after X candles) - Custom close conditions via user-defined logic - Close & reverse functionality ✅ **Visual Clarity & Feedback** - Clear visual markers for Buy/Sell signals - Real-time SL, Entry, and TP lines with color-coded risk/reward zones - On-chart TP level labels showing prices and allocation percentages - Session background highlighting - Trade statistics summary label --- ### 🛠️ Ideal For: - Testing new indicator combinations - Validating entry/exit logic under various market filters - Comparing signal fusion methods (OR vs AND) - Simulating professional-grade risk management rules - Educational demonstrations in algorithmic trading --- ### ⚠️ Important Notes - This is a **backtesting tool**, not a live trading bot. - Past performance is **not indicative of future results**. - Strategy performance depends entirely on the quality of input signals. - Always validate results across multiple assets and timeframes. - Use in conjunction with sound money management principles. --- ### 📌 How to Use 1. Attach the script to your chart. 2. Configure **Buy/Sell Signal Sources** (e.g., RSI crossovers, moving averages, etc.) 3. Set your preferred **trade direction, session, and date filters** 4. Define **stop loss and take profit rules** 5. Adjust position sizing and exit behavior 6. Run the backtest and analyze results in the **Strategy Tester tab** 💡 *Tip: Combine with other indicators by referencing their output values as signal sources.* --- ### ❌ Disclaimer This script is shared for **informational and educational purposes only**. By using it, you agree that: - The author is **not responsible** for any financial losses. - Trading involves significant risk; only risk capital should be used. - You are solely responsible for your trading decisions. 🚫 **This script does not promote get-rich-quick schemes, guaranteed profits, or unverified performance claims.** --- 🔁 **Version:** 5 (Pine Script v5) 📦 **Category:** Strategy 📈 **Overlay:** Yes 🧪 **Purpose:** Backtesting, Signal Validation, Risk Modeling --- ✅ **Safe for Public Sharing** ✔ Complies with TradingView’s community standards ✔ No misleading performance claims ✔ No automated trading promises ✔ No copyrighted or plagiarized content --- > 💬 *"Knowledge is power — test wisely, trade responsibly."* --- Let me know if you'd like a **short version** for the script's header comment or a **public post summary** for the TradingView feed!
Pine Script™ 전략
contactkenny117s의
1
News Volatility Bracketing StrategyThis is a news-volatility bracketing strategy. Five seconds before a scheduled release, the strategy brackets price with a buy-stop above and a sell-stop below (OCO), then converts the untouched side into nothing while the filled side runs with a 1:1 TP/SL set the same distance from entry. Distances are configurable in USD or %, so it scales to the instrument and can run on 1-second data (or higher TF with bar-magnifier). The edge it’s trying to capture is the immediate, one-directional burst and liquidity vacuum that often follows market-moving news—entering on momentum rather than predicting direction. Primary risks are slippage/spread widening and whipsaws right after the print, which can trigger an entry then snap back to the stop.
Pine Script™ 전략
mashinator347의
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts). Core idea (two timeframes) Define the trading range on a higher timeframe (HTF) You choose the HTF (e.g., 15m or 1h). The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support. It also calculates the midline (average of support/resistance). Trade signals on your lower timeframe (LTF) You run the strategy on a fast chart (e.g., 1m or 5m). Entries are only allowed inside the HTF range. Entry logic (mean reversion) Indicators on the LTF: Bollinger Bands (length & std dev configurable). RSI (length & thresholds configurable). Optional VWAP proximity filter (price must be within X% of VWAP). Long setup: Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled). Short setup: Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled). Exits and risk Stop-loss: placed just outside the HTF range with a configurable buffer %: Long SL = HTF Support × (1 − buffer). Short SL = HTF Resistance × (1 + buffer). Take-profit (selectable): Mid band (the Bollinger basis) → conservative, faster exits. Opposite band / HTF boundary → more aggressive, higher RR but more give-backs. Position sizing A simple cap: maximum position size = percent of account equity (e.g., 20%). The script calculates quantity from that cap and current price. Plots you’ll see on the chart HTF Resistance (red) and HTF Support (green) via plot(). HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed). Bollinger basis/upper/lower on the LTF. Optional VWAP line (only shown if you enable the filter). Signal markers (green triangle up for Long setups, red triangle down for Short setups). Alerts Two alertconditions: “Long Setup” – when a long entry condition appears. “Short Setup” – when a short entry condition appears. Create alerts from these to get notified in real time. How to use it (quick start) Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL). Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h). Keep default Bollinger/RSI first; tune later. Choose TP mode: “Mid band” for quick scalps. “Opposite band/Range” if the range is very clean and you want bigger targets. Set SL buffer (0.15–0.30% is common; adjust for volatility). Set Max position % to control size (e.g., 20%). (Optional) Enable VWAP filter to skip stretched moves. When it works best Clearly sideways markets with visible support/resistance on the HTF. High-liquidity pairs where spreads/fees are small relative to your scalp target. Limitations & safety notes True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast. Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs. Backtest results vary by exchange data; always forward-test on small size. If you want, I can: Add an ATR-based stop/target option. Provide a study-only version (signals/alerts, no trading engine). Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
Pine Script™ 전략
MaikoWillemsen의
J12Matic Builder by galgoomA flexible Renko/tick strategy that lets you choose between two entry engines (Multi-Source 3-way or QBand+Moneyball), with a unified trailing/TP exit engine, NY-time trading windows with auto-flatten, daily profit/loss and trade-count limits (HALT mode), and clean webhook routing using {{strategy.order.alert_message}}. Highlights Two entry engines Multi-Source (3): up to three long/short sources with Single / Dual / Triple logic and optional lookback. QBand + Moneyball: Gate → Trigger workflow with timing windows, OR/AND trigger modes, per-window caps, optional same-bar fire. Unified exit engine: Trailing by Bricks or Ticks, plus optional static TP/SL. Session control (NY time): Evening / Overnight / NY Session windows; auto-flatten at end of any enabled window. Day controls: Profit/Loss (USD) and Trade-count limits. When hit, strategy HALTS new entries, shows an on-chart label/background. Alert routing designed for webhooks: Every order sets alert_message= so you can run alerts with: Condition: this strategy Notify on: Order fills only Message: {{strategy.order.alert_message}} Default JSONs or Custom payloads: If a Custom field is blank, a sensible default JSON is sent. Fill a field to override. How to set up alerts (the 15-second version) Create a TradingView alert with this strategy as Condition. Notify on: Order fills only. Message: {{strategy.order.alert_message}} (exactly). If you want your own payloads, paste them into Inputs → 08) Custom Alert Payloads. Leave blank → the strategy sends a default JSON. Fill in → your text is sent as-is. Note: Anything you type into the alert dialog’s Message box is ignored except the {{strategy.order.alert_message}} token, which forwards the payload supplied by the strategy at order time. Publishing notes / best practices Renko users: Make sure “Renko Brick Size” in Inputs matches your chart’s brick size exactly. Ticks vs Bricks: Exit distances switch instantly when you toggle Exit Units. Same-bar flips: If enabled, a new opposite signal will first close the open trade (with its exit payload), then enter the new side. HALT mode: When day profit/loss limit or trade-count limit triggers, new entries are blocked for the rest of the session day. You’ll see a label and a soft background tint. Session end flatten: Auto-closes positions at window ends; these exits use the “End of Session Window Exit” payload. Bar magnifier: Strategy is configured for on-close execution; you can enable Bar Magnifier in Properties if needed. Default JSONs (used when a Custom field is empty) Open: {"event":"open","side":"long|short","symbol":""} Close: {"event":"close","side":"long|short|flat","reason":"tp|sl|flip|session|limit_profit|limit_loss","symbol":""} You can paste any text/JSON into the Custom fields; it will be forwarded as-is when that event occurs. Input sections — user guide 01) Entries & Signals Entry Logic: Choose Multi-Source (3) or QBand + Moneyball (pick one). Enable Long/Short Signals: Master on/off switches for entering long/short. Flip on opposite signal: If enabled, a new opposite signal will close the current position first, then open the other side. Signal Logic (Multi-Source): Single: any 1 of the 3 sources > 0 Dual: Source1 AND Source2 > 0 Triple (default): 1 AND 2 AND 3 > 0 Long/Short Signal Sources 1–3: Provide up to three series (often indicators). A positive value (> 0) is treated as a “pulse”. Use Lookback: Keeps a source “true” for N bars after it pulses (helps catch late triggers). Long/Short Lookback (bars): How many bars to remember that pulse. 01b) QBands + Moneyball (Gate -> Trigger) Allow same-bar Gate->Trigger: If ON, a trigger can fire on the same bar as the gate pulse. Trigger must fire within N bars after Gate: Size of the gate window (in bars). Max signals per window (0 = unlimited): Cap the number of entries allowed while a gate window is open. Buy/Sell Source 1 – Gate: Gate pulse sources that open the buy/sell window (often a regime/zone, e.g., QBands bull/bear). Trigger Pulse Mode (Buy/Sell): How to detect a trigger pulse from the trigger sources (Change / Appear / Rise>0 / Fall<0). Trigger A/B sources + Extend Bars: Primary/secondary triggers plus optional extension to persist their pulse for N bars. Trigger Mode: Pick S2 only, S3 only, S2 OR S3, or S2 AND S3. AND mode remembers both pulses inside the window before firing. 02) Exit Units (Trailing/TP) Exit Units: Choose Bricks (Renko) or Ticks. All distances below switch accordingly. 03) Tick-based Trailing / Stops (active when Exit Units = Ticks) Initial SL (ticks): Starting stop distance from entry. Start Trailing After (ticks): Start trailing once price moves this far in your favor. Trailing Distance (ticks): Offset of the trailing stop from peak/trough once trailing begins. Take Profit (ticks): Optional static TP distance. Stop Loss (ticks): Optional static SL distance (overrides trailing if enabled). 04) Brick-based Trailing / Stops (active when Exit Units = Bricks) Renko Brick Size: Must match your chart’s brick size. Initial SL / Start Trailing After / Trailing Distance (bricks): Same definitions as tick mode, measured in bricks. Take Profit / Stop Loss (bricks): Optional static distances. 05) TP / SL Switch Enable Static Take Profit: If ON, closes the trade at the fixed TP distance. Enable Static Stop Loss (Overrides Trailing): If ON, trailing is disabled and a fixed SL is used. 06) Trading Windows (NY time) Use Trading Windows: Master toggle for all windows. Evening / Overnight / NY Session: Define each session in NY time. Flatten at End of : Auto-close any open position when a window ends (sends the Session Exit payload). 07) Day Controls & Limits Enable Profit Limits / Profit Limit (Dollars): When daily net PnL ≥ limit → auto-flatten and HALT. Enable Loss Limits / Loss Limit (Dollars): When daily net PnL ≤ −limit → auto-flatten and HALT. Enable Trade Count Limits / Number of Trades Allowed: After N entries, HALT new entries (does not auto-flatten). On-chart HUD: A label and soft background tint appear when HALTED; a compact status table shows Day PnL, trade count, and mode. 08) Custom Alert Payloads (used as strategy.order.alert_message) Long/Short Entry: Payload sent on entries (if blank, a default open JSON is sent). Regular Long/Short Exit: Payload sent on closes from SL/TP/flip (if blank, a default close JSON is sent). End of Session Window Exit: Payload sent when any enabled window ends and positions are flattened. Profit/Loss/Trade Limit Close: Payload sent when daily profit/loss limit causes auto-flatten. Tip: Any tokens you include here are forwarded “as is”. If your downstream expects variables, do the substitution on the receiver side. Known limitations No bracket orders from Pine: This strategy doesn’t create OCO/attached brackets on the broker; it simulates exits with strategy logic and forwards your payloads for external automation. alert_message is per order only: Alerts fire on order events. General status pings aren’t sent unless you wire a separate indicator/alert. Renko specifics: Backtests on synthetic Renko can differ from live execution. Always forward-test on your instrument and settings. Quick checklist before you publish ✅ Brick size in Inputs matches your Renko chart ✅ Exit Units set to Bricks or Ticks as you intend ✅ Day limits/Windows toggled as you want ✅ Custom payloads filled (or leave blank to use defaults) ✅ Your alert uses Order fills only + {{strategy.order.alert_message}}
Pine Script™ 전략
galgoom의
Energy Across TimePrivate Use-Only Version Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed euismod, lectus nec varius dictum, nibh arcu imperdiet augue, ac tristique odio nulla nec ligula. Vivamus ac odio nec lorem faucibus posuere. Proin sed sapien dignissim, laoreet velit vitae, vehicula justo. Curabitur et viverra lectus. Ut sit amet rhoncus ligula. Nullam nec posuere nisl. Morbi faucibus mattis sem, nec faucibus neque tristique vitae. Praesent malesuada nisl nec lectus congue, sit amet fringilla mauris vulputate. Ut quis felis vitae arcu varius ultrices non vel metus. Duis ac posuere nulla. Sed quis odio arcu. Etiam sodales eros libero, eget finibus elit bibendum nec. Cras ac justo sed justo facilisis suscipit. Nullam faucibus tortor vitae lorem eleifend, ut rhoncus lacus imperdiet. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Integer sagittis mi ut leo efficitur, vel feugiat nibh suscipit. Morbi sed vulputate risus, eu volutpat massa. Vestibulum luctus, nisl non posuere vehicula, enim urna bibendum est, sit amet luctus libero sapien a massa. Nullam blandit nulla non massa pretium, nec fermentum turpis vestibulum. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Nam condimentum congue feugiat. Donec commodo, libero nec congue finibus, augue mi malesuada mi, sed suscipit erat sem ut orci. Phasellus dictum justo at ligula tincidunt, nec dictum libero scelerisque. Nulla et faucibus nulla, id aliquet magna. Fusce congue, justo in luctus iaculis, lectus dolor ultrices nunc, nec euismod lectus lorem ac lectus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Nam dictum sapien non mattis aliquet. Integer semper venenatis libero, sit amet posuere magna laoreet at. Aliquam erat volutpat. Aenean congue luctus felis, vel blandit velit posuere nec. Aenean feugiat, purus at vulputate posuere, ipsum nulla dignissim arcu, nec sollicitudin quam est sed purus. Aenean bibendum, ligula a luctus venenatis, erat nisl sagittis eros, id ultrices purus nibh ac nunc. Sed egestas sodales dui, vitae volutpat mauris facilisis vitae. Nam sit amet dolor ac lorem luctus luctus. Morbi iaculis fringilla bibendum. Mauris ut ullamcorper leo. Sed fringilla fermentum nunc, eget egestas orci porttitor a. Aenean sit amet mi ligula. Suspendisse sed efficitur odio. Quisque in turpis eget mauris ullamcorper faucibus. Sed euismod turpis ut arcu posuere tincidunt.
Pine Script™ 전략
dinismartinho의
EMA and BB Analysis for US100 V250829This TradingView strategy generates buy and sell signals based on exponential moving average (EMA) crossovers, limited by other factors such as Bollinger Bands, volume, and EMA distance. It uses EMAs of 16, 24, 32, and 64 periods, as well as the angles of each of these EMAs. Entry Conditions: EMA Crossover Entry: When EMA16 crosses EMA64 and the following conditions are met: EMA16, EMA24, EMA32 are aligned — for a buy signal: EMA16 > EMA24 EMA24 > EMA32 EMA32 > EMA48 (and the opposite for a sell signal) EMA Angles: The angles of the EMAs must also follow the same alignment. Divergence Entry: When the distance between EMAs 16, 24, 32, and 48 increases. Entry Limitations: Once an entry is detected, it is filtered by several conditions: When the distance between the entry candle and EMA96 is more than two candles of the maximum size over three periods. The stop loss is set as two candles of the maximum size over three periods. If this stop loss exceeds 6,000 points (adjustable parameter), the entry is invalid. When the price is at the edge of the Bollinger Band with a 1200-period setting (equivalent to a 1-hour Bollinger Band). When the Bollinger Band's middle line is descending and a buy signal is triggered (and vice versa). When volume drops below a certain threshold. When a sideways market movement is detected. All these entry limitations are configurable parameters and can be enabled or disabled.
Pine Script™ 전략
alasso69의