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Recursive WMA Angle StrategyDescription: This strategy utilizes a recursive Weighted Moving Average (WMA) calculation to determine the trend direction and strength based on the slope (angle) of the curve. By calculating the angle of the smoothed moving average in degrees, the script filters out noise and aims to enter trades only during strong momentum phases. How it Works: Recursive WMA: The script calculates a series of nested WMAs (M1 to M5), creating a very smooth yet responsive curve. Angle Calculation: It measures the rate of change of this curve over a user-defined lookback period and converts it into an angle (in degrees). Entry Condition (Long): A long position is opened when the calculated angle exceeds the Min Angle for BUY threshold (default: 0.2), indicating a strong upward trend. Exit Condition: The position is closed when the angle drops below the Min Angle for SELL threshold (default: -0.2), indicating a sharp trend reversal. Settings: MA Settings: Adjust the base lengths for the recursive calculation. Angle Settings: Fine-tune the sensitivity by changing the Buy/Sell angle thresholds. Date Filter: Restrict the backtest to a specific date range. Note: This strategy is designed for Long-Only setups.
Chiến lược Pine Script®
của vahsi_bati
Infinity 26📈 Infinity 26 – Long-Term Investment Signal Indicator Infinity 26 is a long-term trend-based investment indicator designed to identify high-quality buy and exit points using weekly or monthly candles. It filters out market noise and focuses only on strong, long-term momentum shifts—making it ideal for wealth creation and slow, steady portfolio growth. 🔹 Key Features Buy Signals: Automatically highlights strong trend-reversal points where long-term investors can accumulate. Exit Signals: Shows when the long-term trend weakens, helping protect gains and reduce major drawdowns. Weekly & Monthly Optimized: Best results when used on 1-week or 1-month timeframe for long-term investing. Clear Trend Structure: Helps you stay invested during major bull trends and avoid emotional short-term decisions. Noise-Free: Designed for long-horizon investors—no overtrading, no frequent whipsaws. 🔹 Best For Long-term investors Swing-to-position traders Wealth creation strategies Portfolio-based investing 🔹 How It Helps You ✔ Avoid wrong entries ✔ Capture major uptrend moves ✔ Reduce risk with timely exits ✔ Build wealth with simple, rule-based signals
Chiến lược Pine Script®
của Chanpreet_2
CBS Strategy with Trailing Stop _ IK3-Candle High/Low Breakout Strategy – Clean, Powerful, Fully Customizable (Pine Script v6) A simple yet effective momentum breakout strategy that triggers trades when price closes above the highest high or below the lowest low of the previous 3 completed candles. Perfect for trending markets (stocks, forex, crypto, indices) on any timeframe. Key Features: • Pure price-action breakout logic (no repainting) • Long & Short entries with visual triangle signals • Built-in Stop Loss & Take Profit (fixed % or ATR-based) • Optional Trailing Stop (percentage or ATR multiplier) • All risk parameters fully adjustable from the settings panel • Clean on-chart visualization of SL, TP, and active trailing stop levels • Works on all instruments and timeframes Default Settings (2:1 Reward/Risk): • Stop Loss: 1.5% • Take Profit: 3.0% • Trailing Stop: 1.0% (optional) How to Use: 1. Add to chart 2. Adjust risk settings to match your style (fixed % or ATR) 3. Enable/disable trailing stop as needed 4. Backtest and optimize per instrument/timeframe Fully open-source • No external libraries • Pine Script v6 Great for swing trading, intraday breakouts, or as a base for further enhancements. Happy trading!
Chiến lược Pine Script®
của ickr3078
Seawolf Pivot Hunter [Strategy]Overview Seawolf Pivot Hunter is a practical trading strategy that enhances the classic pivot-box breakout system with a structured risk-management framework. Using ATR-based stop loss and take-profit calculations, position sizing, multi-layer filtering, and daily loss-limit protection, it provides a stable and sustainable trading environment. It preserves the strengths of the original version while adding systems designed to manage real-market risks more effectively. Core Philosophy The most important element in trading is not generating profits but controlling losses. Even the best entry signals cannot compensate for a single large loss that wipes out accumulated gains. This strategy precisely calculates the risk exposure for every trade and includes multiple layers of protection to safeguard the account under worst-case scenarios. Indicator Setup Link kr.tradingview.com Example of Optimal Parameter Settings Asset (Exchange): ETH/USDT (Binance) Timeframe: 15-minute chart Pivot Detection Length: 5 Upper Box Width: 2 Lower Box Width: 2 Enable Risk Management: False Use Trailing Stop: False Use Volume Filter -Min Buy Volume % for Long: 50 -Min Sell Volume % for Short: 50 Use Trend Filter (EMA): False Enable Max Loss Protection -Max Daily Loss ($): 200 -Max Trades Per Day: 10 Calculated Bars: 50,000 Risk-Management System Every trade automatically receives a stop-loss level at the moment of entry. The stop is calculated using ATR, adjusting dynamically to market volatility. When volatility increases, the stop widens; in stable conditions, it tightens to reduce unnecessary exits. The default distance is set to twice the ATR. The standard take-profit level is set to four times the ATR, providing a 1:2 risk-reward structure. With this ratio, even a 50 percent win rate can produce profitability—while the typical trade structure aims for small losses and larger gains to support long-term performance. A trailing-stop option is also available. Once the trade moves into profit, the stop level automatically trails behind price action, protecting gains while allowing the position to expand when momentum continues. Position size is calculated automatically based on the selected risk percentage. For example, with a 2 percent risk setting, each stop-loss hit would result in exactly 2 percent of the account balance being lost. This ensures a consistent risk profile regardless of account size. The daily loss-limit function prevents excessive drawdown by halting new trades once a predefined loss threshold is reached. This helps avoid emotional decision-making after consecutive losses. A daily trade-limit feature is included as well. The default is 10 trades per day, protecting traders from overtrading and unnecessary fees. Filtering System The volume filter analyzes buying and selling pressure within the pivot box. Long trades are allowed only when buy volume exceeds a specified percentage; shorts require sell-volume dominance. The default threshold is 55 percent. The trend filter uses an EMA to determine market direction. When price is above the 200-EMA, only long signals are permitted; when below, only shorts are allowed. This ensures alignment with the broader trend and reduces counter-trend risk. Each filter can be toggled independently. More filters generally reduce trade frequency but improve signal quality. Real-Time Monitoring A real-time statistics panel displays daily profit/loss, the number of trades taken, the maximum allowed trades, and whether new trades are currently permitted. When daily limits are reached, the panel provides clear visual warnings. Entry Logic A trade is validated only after a pivot-box breakout occurs and all active filters—volume, trend, daily loss limit, and daily trade limit—are satisfied. Position size, stop loss, and take-profit levels are then calculated automatically. Entry arrows and labels on the chart help with later review and analysis. Setup Guide Risk percentage is the most critical setting. Beginners should start at 1 percent. Anything above 3 percent becomes aggressive. ATR stop-loss multipliers should reflect asset volatility. ATR take-profit multipliers determine reward ratio; 4.0 is the standard. Volume thresholds are typically set between 50–60 percent depending on market conditions. Daily loss limits are typically 2–5 percent of the account. Trading Strategy This strategy performs best in trending environments and works especially well on the 4-hour and daily charts. New users should begin with all filters enabled and trade conservatively. A minimum of one month of paper trading is recommended before committing real capital. Suitable Users The strategy is ideal for beginners who lack risk-management experience as well as advanced traders seeking a customizable structure. It is particularly helpful for traders who struggle with emotional decision-making, as pre-defined limits and rules enforce discipline. Backtesting Guide Use at least 2–3 years of historical data that includes bullish, bearish, and sideways conditions. Target metrics: Sharpe ratio: 1.5 or higher Maximum drawdown: below 25 percent Win rate: 40 percent or higher Total trades: at least 100 for statistical relevance Optimization Precautions Avoid over-fitting parameters. Always test values around the “best” setting to verify stability. Out-of-sample testing is essential for confirming robustness. Test across multiple assets and timeframes to ensure consistency. Live Deployment Roadmap After successful backtesting, follow a gradual rollout: Paper trading for at least one month Small-account live testing Slow scaling as performance stabilizes Continuous Improvement Keep a detailed trading journal and evaluate performance each quarter using recent data. Adapt settings as market conditions evolve. Conclusion Seawolf Pivot Hunter aims to provide more than simple trade signals—it is designed to create a stable and sustainable trading system built on disciplined risk management. No strategy is perfect, and long-term success depends on consistency, patience, and strict adherence to rules. Start small, verify results, and scale progressively. Disclaimer This strategy is for educational and research purposes only. Past performance does not guarantee future results. All trading decisions are the responsibility of the user. 개요 Seawolf Pivot Hunter는 기본 피봇 박스 브레이크아웃 전략에 전문적인 리스크 관리 시스템을 더한 실전형 트레이딩 전략입니다. ATR 기반의 손절매와 목표가 설정, 포지션 사이징, 다층 필터링 시스템, 일일 손실 제한 기능을 통해 안정적이고 지속 가능한 트레이딩 환경을 제공합니다. 기본 버전의 장점은 유지하면서 실제 시장에서 발생할 수 있는 위험을 체계적으로 관리할 수 있도록 설계되었습니다. 핵심 철학 트레이딩에서 가장 중요한 것은 수익이 아니라 손실 관리입니다. 아무리 훌륭한 진입 조건이 있어도 한 번의 큰 손실로 모든 수익이 사라질 수 있습니다. 이 전략은 각 거래마다 감수할 리스크를 명확히 계산하고, 최악의 상황에서도 계좌를 보호하기 위한 다양한 안전장치를 제공합니다. 지표 적용 링크 공유 kr.tradingview.com 최적 조건값 설정(예시) "종목(거래소): ETH/USDT(Binance)", "15 분봉 기준" -Pivot Detection Length: 5 -Upper Box width: 2 -Lower Box width: 2 -Enable Risk Management: False -Use Trailing Stop: False -Use Volume Filter -Min Buy Volume % for Long: 50 -Min Buy Volume % for Long: 50 -Use Trend Filter(EMA): False -Enable Max Loss Protection -Max Daily Loss($): 200 -Max Trades Per Day: 10 -Calucated bars: 50000 리스크 관리 시스템 모든 거래는 진입과 동시에 손절매 주문이 자동 설정됩니다. 손절가는 ATR을 기준으로 계산되며, 시장의 변동성에 따라 자동으로 조정됩니다. 변동성이 큰 시장에서는 넓은 손절폭을, 안정적인 시장에서는 좁은 손절폭을 사용해 불필요한 청산을 줄입니다. 기본값은 ATR의 2배입니다. 목표가는 ATR의 4배를 기본값으로 설정하여 손익비 1:2 구조를 유지합니다. 승률이 50퍼센트만 되어도 수익성이 가능하며, 실제로는 손절은 짧고 이익은 길게 가져가는 방식으로 장기 성과를 확보합니다. 트레일링 스톱 기능도 제공됩니다. 포지션이 수익 구간에 들어서면 손절가가 자동으로 함께 움직이며 수익을 보호합니다. 이 기능은 사용자가 켜거나 끌 수 있습니다. 포지션 크기는 리스크 퍼센트 기반으로 자동 계산됩니다. 예를 들어 리스크를 2퍼센트로 설정하면 손절 시 계좌 자산의 2퍼센트만 잃도록 수량이 조절됩니다. 계좌 크기와 무관하게 항상 일정한 비율의 리스크만 감수하게 되는 방식입니다. 일일 손실 제한 기능은 하루에 허용 가능한 최대 손실을 초과하지 않도록 합니다. 지정 금액에 도달하면 당일 거래는 더 이상 실행되지 않습니다. 감정적 거래를 막고 일정한 규율을 유지하도록 돕습니다. 일일 거래 횟수 제한 기능도 제공됩니다. 기본값은 하루 10회로, 과매매와 수수료 증가를 방지합니다. 필터링 시스템 볼륨 필터는 박스 구간 내 매수·매도 압력을 분석해 진입 신호를 검증합니다. 롱은 매수 볼륨이 일정 비율 이상일 때, 숏은 매도 볼륨이 우세할 때만 진입합니다. 기본값은 55퍼센트입니다. 추세 필터는 EMA를 사용하며, 가격이 200EMA 위에 있을 때는 롱 신호만, 아래에서는 숏 신호만 허용합니다. 큰 추세 방향에만 거래하여 역추세 리스크를 줄입니다. 필터는 독립적으로 켜고 끌 수 있으며, 필터가 많을수록 거래 횟수는 줄지만 신호 품질은 향상됩니다. 실시간 모니터링 화면에 실시간 통계 테이블이 표시되며, 일일 손익, 거래 횟수, 최대 허용 횟수, 현재 거래 가능 여부가 즉시 확인됩니다. 손실 제한 또는 거래 제한 도달 시 시각적으로 표시됩니다. 진입 로직 피봇 박스 브레이크아웃 발생 후 볼륨 필터, 추세 필터, 일일 손실·거래 제한을 모두 통과하면 포지션 크기를 계산하고 손절·목표가를 설정한 뒤 진입합니다. 진입 지점에는 화살표와 레이블이 표시되어 분석에 도움을 줍니다. 설정 가이드 리스크 퍼센트는 가장 중요한 설정입니다. 초보자는 1퍼센트를 추천하며 3퍼센트 이상은 위험합니다. 손절 ATR 배수는 자산 특성에 맞게 조절합니다. 목표가 ATR 배수는 손익비를 결정하며 기본값은 4.0입니다. 볼륨 비율은 시장 상황에 따라 50~60퍼센트 내외로 조정합니다. 일일 손실 제한은 계좌의 2~5퍼센트 수준이 적절합니다. 사용 전략 추세가 명확한 시장에서 가장 효과적이며, 4시간봉 또는 일봉을 추천합니다. 초반에는 모든 필터를 켜고 보수적으로 시작하며, 최소 한 달간 페이퍼 트레이딩을 권장합니다. 적합한 사용자 리스크 관리 경험이 부족한 초보자부터, 커스터마이징을 원하는 경험자까지 폭넓게 적합합니다. 감정적 트레이딩을 억제하는 기능이 있어 규율 유지가 어렵던 트레이더에게 특히 유용합니다. 백테스트 가이드 최소 2~3년 데이터로 테스트하며, 상승·하락·횡보 모두 포함해야 합니다. 샤프비율 1.5 이상, 최대 낙폭 25퍼센트 이하를 목표로 합니다. 승률은 40퍼센트 이상이면 충분합니다. 최소 100회 이상 거래가 있어야 통계적으로 의미가 있습니다. 최적화 주의사항 과최적화를 피하고 주변 값도 테스트해야 합니다. 샘플 외 기간 검증은 필수입니다. 여러 자산·여러 시간대에서 테스트하여 일관성을 확인해야 합니다. 실전 적용 로드맵 백테스트 후 바로 실전 투입하지 말고, 한 달 이상의 페이퍼 트레이딩 → 소액 실전 → 점진적 확대 순으로 진행합니다. 지속적 개선 일지를 기록하고 분기마다 최신 데이터로 점검합니다. 시장 변화에 따라 유연하게 조정해야 합니다. 마치며 Seawolf Pivot Hunter는 단순 신호 제공을 넘어, 안전하고 지속 가능한 트레이딩 환경 구축을 목표로 합니다. 어떤 전략도 완벽할 수 없으며, 장기적 성공을 위해서는 규칙 준수와 인내가 가장 중요합니다. 충분한 검증을 거쳐 작은 금액으로 시작하고 점진적으로 확장해나가는 접근을 추천합니다. 면책 조항 이 전략은 교육 및 연구 목적이며, 과거 성과는 미래를 보장하지 않습니다. 모든 투자 결정은 본인의 판단과 책임 하에 이루어져야 합니다.
Chiến lược Pine Script®
của Seawolf_AGI
Adaptive Volatility StrategyHere's a professional description for publishing your indicator: Adaptive Volatility Strategy - Multi-Indicator Confirmation System A comprehensive trading strategy that combines multiple technical indicators with adaptive volatility filtering to identify high-probability trade setups while managing risk effectively. Key Features: Multi-Indicator Confirmation: Combines RSI, MACD, and ADX signals with trend analysis (20/50/200 EMAs) to reduce false signals and improve entry quality Adaptive Volatility Filter: Intelligent volatility detection using ATR that can filter trades based on either fixed percentage thresholds or multiples of average volatility, helping avoid unstable market conditions Flexible Session Filtering: Optional time-based trading windows with customizable hours and trading days to align with your preferred market sessions Smart Signal Generation: Requires minimum signal confirmations before entering trades, with separate tracking for directional and confirmation signals Comprehensive Risk Management: Configurable take profit and stop loss percentages with automatic position exits on signal reversals Real-Time Dashboard: Visual display showing current indicator values, signals, volatility levels, and trend direction for quick market assessment Strategy Logic: Enters long when bullish signals outnumber bearish signals (minimum 2 signals) with ADX confirmation Enters short when bearish signals outnumber bullish signals with ADX confirmation All trades must pass volatility and session filters when enabled Exits on take profit, stop loss, or signal reversal Best Used For: Swing trading on 1H to daily timeframes Markets with clear trending behavior Traders who prefer multiple confirmations before entering positions Note: This is a complete strategy with entry/exit logic. Backtest thoroughly and adjust parameters for your specific instrument and timeframe before live trading.
Chiến lược Pine Script®
của tsanthoshreddy
WIN DayTrade Brasil - by Ichilinha A comprehensive day trading strategy developed specifically for trading the Mini Index (WIN) on the Brazilian market (B3). It combines multi-timeframe technical analysis, trend/sideway filters, advanced risk management with ATR, and strict controls on the time and number of daily trades. Note: Always trade responsibly. Day trading requires technical knowledge, emotional discipline, and proper risk management. Never trade with money you cannot afford to lose.
Chiến lược Pine Script®
của Ichilinha
2
Morning Straddle Backtest + Range Filter Morning Straddle Backtest Purpose: This script tests a Morning Straddle concept where a trader enters both long and short breakout orders based on the overnight range (22:00–06:00 by default). It is designed for backtesting the effectiveness of volatility breakouts following low-volume overnight sessions. Setup Overnight session: 22:00–06:00 (adjustable). At the end of the overnight session, the script automatically places: A long stop order above the range high. A short stop order below the range low. Both use an ATR-based buffer for cleaner breakouts (default 5%). When one side triggers, the opposite order is cancelled if OCO mode is active. Adjustable Parameters - Session - Defines the overnight hours used for the range. - ATR Length - Number of bars used for ATR calculation. - ATR Buffer % - Distance above/below range for entry & stop placement. - Risk:Reward Ratio - Determines the TP distance relative to SL. - Stop-Loss - Choose between “Behind Range” or “Mid-Range (50%)” with ATR buffer added. - OCO - Cancels opposite order once one side triggers. - Close All EOD - Closes all open trades at the end of day (default 22:00). - Range Filter – Enables filtering of trades only when the overnight range size falls within a defined threshold. -Min Range / Max Range – Define acceptable range size boundaries. -Display Units – Select whether the filter is measured in Price Change, Pips, or Points. - Stats Panel Settings – Toggle visibility, position (Top/Bottom Left/Right), and background opacity. Visual The overnight range (22:00–06:00) is highlighted on the chart with a teal background for clarity. No lines are drawn for the high and low. Strategy Notes Works best on 5m or 15m charts where the overnight range can be clearly defined. Backtests should be run over multiple months to gauge performance consistency. Can be adapted for other markets by adjusting session times and ATR settings. For example, S&P initial balance breakout using 14:30-15:30 range time. Stats Panel Displays - 20-Day Range Data: Maximum, Average, and Minimum range sizes. - Today’s Range: With automatic classification — Huge, Normal, or Small. - Average Winning Range: Average size of the overnight range on profitable days. - Average Losing Range: Average size of the overnight range on losing days. - Filter Status: Displays whether the range met the filter criteria — Range OK, Skipped, or Off.
Chiến lược Pine Script®
của ElGore18
AlgoIndexOS-ES-FuturesAlgoIndexOS — ES Futures Strategy v2.0 (5-Minute RTH) Scope (read first) ES on 5-minute only, RTH session. The strategy operates on U.S. Regular Trading Hours (09:30–16:00 ET) using a 5-minute ES chart. It builds an Opening Session Range (OSR) from the RTH open, then runs a breakout engine when internal quality conditions are met. Exits are target-based with an intrabar touch-to-flat safety. Positions are flattened at the RTH session end by default. Alerts can post JSON to your Webhook URL for automation. What this is One intraday engine with four curated presets (“Stages”) tuned for distinct segments of the NY session. Stages keep the core logic consistent while applying time-of-day context and conservative governors. Single invite-only listing; not a multi-post suite. How it trades (high-level) Range context: Builds and locks the OSR from the opening bell; entries only arm after the range is set. Quality gating: Trades only when internal trend/volatility/confirmation conditions align (no parameter disclosure). Breakout execution: Signals at bar close; bracket exits manage take-profit (limit) with an intrabar “TP-touch” safety to avoid phantom fills; optional stop-loss. Session safety: Positions flat at RTH close by default (time exit). (No settings or thresholds are disclosed; presets encapsulate research choices.) Stages (session templates; one engine) A single Stage selector chooses among four presets optimized for different parts of the RTH session (morning vs mid-day; long/short focus). Internal parameters remain fixed to preserve tested behavior. Public inputs (kept minimal) Stage (choose your preset) TP / SL (points) shown for transparency; effective values are governed by the selected preset to maintain consistency with research. Optional display overlays (status line/markers) for readability. Alerts (how to use) Create an alert on the strategy and choose Strategy → Order fills. Use a webhook if you want automation. The payload includes the exact chart symbol so it works on ES1! or a specific ES contract: { "tv_symbol": "{{ticker}}", "tv_exchange": "{{exchange}}", "action": "buy|sell|exit", "price": {{close}}, "time": "{{timenow}}" } If your receiver needs a fixed root (e.g., “ES”), map it on your server using tv_symbol for context. Backtest & assumptions Backtest assumptions (initial capital, commission, slippage, margin) are user-configurable in TradingView. Results on your chart reflect your settings. This script evaluates ES fills on 5-minute RTH bars; live execution will differ. Operating notes Use on ES only, 5-minute timeframe, RTH session. If you run multiple Stages, use separate charts/tabs and coordinate net exposure in your own tooling if needed. Publish with a clean chart for clarity. Disclosures (compliance) No investment advice. This script is for research/education and tooling only. It does not provide investment, legal, tax, or accounting advice and does not recommend any security, instrument, or strategy. Use at your own risk. Hypothetical performance (CFTC 4.41). Hypothetical or simulated results have many limitations, and no representation is made that any account will achieve similar outcomes. Past performance is not necessarily indicative of future results. Futures risk. Trading futures involves substantial risk of loss and is not suitable for all investors. Leverage, gaps, slippage, and connectivity can cause losses exceeding initial investment. Backtesting limitations. Results depend on data quality, chart resolution, session filters, and user assumptions; live execution will differ. Intellectual property. © 2025 AlgoIndex. All Rights Reserved. Redistribution, resale, or decompilation prohibited without written consent.
Chiến lược Pine Script®
của MyAlgoIndex
KZ One — Scalping Training StrategyKZ One is a scalping strategy developed for M1 and M5 timeframes. It is designed to help traders study and practice short-term market behavior by using structured zones to highlight potential entry and exit areas. The strategy allows customization of Risk (USD) and Take Profit (R multiple) parameters for flexible trade management. Additional tools include ATR-based filters to skip low-volatility conditions and a Pre-Alert Lead (bars) option that notifies users ahead of possible setups. KZ One is intended for educational and analytical purposes, promoting disciplined and consistent trading practice.
Chiến lược Pine Script®
của Uttaya
MoneyPlant-Auto Support Resistance V2.0 🧭 Overview MoneyPlant – Auto Support Resistance is a professional-grade indicator designed to automatically detect dynamic Support and Resistance levels using real-time market structure. It combines trend confirmation, structure analysis, and momentum logic to identify high-probability trading zones in all market conditions. ⚙️ Core Concept This indicator uses a unique combination of classic and proprietary logic to filter only the most relevant S/R levels: • Dynamic Support/Resistance Mapping: Detects strong reaction levels based on price structure, candle rejection points, and breakout validation. • EMA & WMA Trend Filter: Uses a triple-moving-average model (default EMA 18, EMA 25, and WMA 7) to confirm current market bias. • MACD Momentum Filter: Confirms trend strength and helps avoid false breakouts. • Smart Alignment Logic: Generates signals only when structure, trend, and momentum all align in the same direction. 🧠 How It Works 1. Buy Setup:  When price breaks above a resistance level with bullish EMA/WMA alignment and positive MACD momentum → Buy Signal triggers. 2. Sell Setup:  When price breaks below a support level with bearish EMA/WMA alignment and negative MACD momentum → Sell Signal triggers. 3. Auto-Refreshing Zones:  Support and Resistance zones update dynamically as market structure evolves. 🎯 Best Use Cases • Works effectively on Stocks, Indices, Forex, and Commodities (e.g., XAUUSD, NIFTY, BANKNIFTY ). • Ideal for Intraday & Swing Trading (15 min – 1 hour timeframes). • Fully compatible with TradingView alerts and automation tools. 💡 Key Features ✅ Automatic Support/Resistance detection ✅ Adaptive EMA + WMA + MACD trend logic ✅ Real-time Buy/Sell alerts ✅ Multi-timeframe compatibility ✅ Optimized for clean chart visuals ⚖️ Recommended Settings • EMA Fast: 18 • EMA Slow: 25 • WMA Filter: 7 • MACD: Default parameters (Users may adjust EMA/WMA settings according to their own trading style.) 🔒 How to Get Access To get access to this invite-only script, please send me a private message on TradingView or use the link in my profile. Once your username is added via Manage Access, you’ll be able to use the indicator. 🧾 Notes for Traders This tool does not repaint, and it’s meant for educational and analytical purposes only. Each license is valid for one TradingView username — no resale or redistribution is permitted. Developed by MoneyPlant Smart Automation for Professional Traders
Chiến lược Pine Script®
của saandeeppavaar
Basic DCA Strategy by Wongsakon KhaisaengThe Core Principle and Philosophy Behind the Basic DCA Strategy 1. Introduction The Basic DCA Strategy (Dollar-Cost Averaging) represents one of the most fundamental and enduring investment methodologies in the realm of systematic accumulation. The philosophy underpinning DCA is rooted not in speculation or prediction, but in disciplined participation. It assumes that the consistent act of investing a fixed amount of capital over time—regardless of short-term price volatility—can yield superior long-term outcomes through the natural smoothing effect of cost averaging. This strategy, expressed through the Pine Script code above, formalizes the DCA concept into a fully systematic trading framework, enabling quantitative backtesting and objective evaluation of long-term accumulation efficiency. 2. Mechanism of Operation At its technical core, the strategy executes a fixed-value buy order at every predefined interval within a specific accumulation period. Each DCA event invests a constant “Investment Amount (USD)” irrespective of price fluctuations. When prices decline, this constant investment buys a larger quantity of the asset; when prices rise, it purchases fewer units. Over time, this behavior lowers the average cost basis of the accumulated position, effectively neutralizing short-term timing risks. Mathematically, this is represented as: Units Purchased = Investment Amount / Closing Price Cost Basis = Total Invested USD / Total Units Acquired Portfolio Value = Total Units Acquired × Current Price The algorithm tracks cumulative investment, acquired units, and commissions dynamically, continuously recalculating key portfolio metrics such as total profit/loss (PnL), CAGR (Compound Annual Growth Rate), and maximum drawdown (peak-to-trough equity decline). Furthermore, the script juxtaposes DCA results with a Buy & Hold benchmark, where the entire initial capital is invested at once. This comparison highlights the behavioral resilience and volatility resistance of the DCA method relative to market-timing strategies. 3. The Essence of DCA Philosophy At its philosophical core, DCA is not a trading system, but a behavioral framework for rational capital deployment under uncertainty. It embodies the principle that time in the market often outweighs timing the market. The DCA approach rejects the illusion of precision forecasting and embraces probabilistic humility—the recognition that even the most skilled investors cannot consistently predict short-term market fluctuations. Instead, it focuses on controlling what is controllable: the frequency, consistency, and size of investment actions. This mindset reflects a broader principle of risk dispersion through temporal diversification. Rather than concentrating entry risk into a single price point (as in lump-sum investing), DCA spreads exposure across multiple time intervals, thereby converting volatility into opportunity. In essence, volatility—often perceived as risk—is reframed as a mechanism for mean reversion advantage. The strategy thrives precisely because markets oscillate; each fluctuation provides a chance to accumulate at varied price levels, improving the weighted-average entry over time. 4. Long-Term Rationality Over Short-Term Emotion DCA’s endurance stems from its ability to neutralize emotional biases inherent in human decision-making. Investors tend to overreact to market euphoria or panic—buying high out of greed and selling low out of fear. By automating purchases through predefined intervals, the DCA model enforces mechanical discipline, detaching decision-making from sentiment. This transforms investing from an emotional endeavor into a systematic, algorithmic routine governed by rules rather than reactions. In doing so, DCA serves not only as a financial model but also as a psychological safeguard—aligning investor behavior with long-term compounding logic rather than short-term speculation. 5. Comparative Insight: DCA vs. Buy & Hold While both DCA and Buy & Hold share a long-term investment horizon, they diverge in their treatment of entry timing. The Buy & Hold model assumes full deployment of capital at the beginning, maximizing exposure to growth but also to volatility. Conversely, DCA smooths the entry curve, trading off short-term returns for long-term stability and improved average entry price. In environments characterized by volatility and cyclical corrections, DCA tends to outperform in terms of risk-adjusted returns, lower drawdowns, and improved investor adherence—since it reduces the psychological pain of entering at local peaks. 6. Conclusion The Basic DCA Strategy exemplifies the synthesis of mathematical rigor and behavioral discipline. Its algorithmic construction in Pine Script transforms a classical investment philosophy into a quantifiable, testable, and transparent framework. By automating fixed-amount purchases across time, the system operationalizes the central axiom of DCA: consistency over conviction. It is not concerned with predicting future prices but with ensuring persistent participation—trusting that the market’s upward bias and the power of compounding will reward patience more than precision. Ultimately, DCA embodies the timeless principle that successful investing is less about forecasting markets, and more about designing behavior that can endure them.
Chiến lược Pine Script®
của Wongsakon
Nifty Intraday 9:30- 3 Min Candle By Trade Prime Algo.Nifty Intraday 9:30 – 3 Min Candle Strategy by Trade Prime Algo This strategy is designed to help traders identify intraday long entries, stop-loss, and multi-target levels on the Nifty Spot / Nifty Futures based on the first 3-minute candle breakout after 9:30 AM. It automates trade detection, entry marking, target plotting, and trailing stop-loss logic, allowing traders to visualize complete trade flow with clarity and precision. The system offers: ✅ Auto identification of long entries based on candle breakout logic ✅ Configurable stop-loss, trailing SL, and four partial profit targets ✅ Dynamic plotting of entry, TSL, and targets on chart ✅ Custom alert messages for each event (Entry, TP1–TP4, SL, Close) ✅ Adjustable time session and test periods for backtesting ⚙️ How to Use 1️⃣ Set your desired start time (default: 9:15–9:30 AM). 2️⃣ Choose your stop-loss type — percentage or points. 3️⃣ Adjust target levels (TP1–TP4) and trailing SL settings as per your risk appetite. 4️⃣ Use this strategy for educational backtesting and research only — not for live trading signals. 5️⃣ The tool can be combined with price action zones or higher-timeframe analysis for best results. ⚠️ Disclaimer (SEBI & Risk Disclosure) This strategy is developed strictly for educational and research purposes. The creator of this script and Trade Prime Algo are not SEBI-registered advisors. This tool does not guarantee any specific profit or performance. Trading involves risk; users may incur partial or total capital loss. All decisions taken using this indicator or strategy are solely at the user’s discretion and risk. The creator assumes no liability for profit, loss, or any consequences arising from the use of this script. Always perform your own due diligence and trade responsibly.
Chiến lược Pine Script®
của healingcrystalsusa
Cava Signals Backtesting v2Cava Signals Backtesting Strategy v2 (BTC) This Pine Script strategy is designed for backtesting trading signals on BTC, built upon the Cava Signals v2 framework. It integrates multiple technical indicators to identify potential buy and sell opportunities, incorporating volume analysis, momentum, and trend-following mechanisms. The strategy supports customizable parameters for trade entry, exit, take-profit, stop-loss, and DCA (Dollar-Cost Averaging) logic, optimized for BTC trading. Ideal for traders looking to test and refine their approach in a backtesting environment, this script offers flexibility to adapt to various market conditions while focusing on disciplined trade management. Always backtest thoroughly and validate performance before live use.
Chiến lược Pine Script®
của EdCava
Enhanced OB Retest Strategy v7.0The OB Retest Strategy is a full Order Block retest trading system that detects, plots, and trades OB zones across multiple timeframes. It uses structure breaks, retrace depth, and ATR filters to identify strong reversal or continuation setups. ⸻ ⚙️ Core Features • Multi-timeframe OB detection using break-of-structure (BOS) logic • Automatic zone creation for bullish and bearish order blocks • Smart merging of overlapping OB zones • Dynamic flip-zone logic that turns invalidated OBs into new zones • Wick zone detection for high-precision entries • ATR-based trailing stop and optional breakeven • Adjustable retrace depth, breakout %, and ATR filters • Built-in performance table showing PnL, win rate, and total trades • Fully backtestable with date range and commission control ⸻ 🧠 Logic Summary 1. Detects a BOS on the higher timeframe. 2. Identifies the last opposing candle as the valid OB. 3. Validates the OB based on ATR size and breakout strength. 4. Waits for price to retest the zone to a set depth. 5. Executes trades and manages exits using trailing stop or breakeven. 6. Flips invalidated zones automatically. ⸻ 💡 Usage Tips • Best used on 1H to 4H charts for swing setups. • Tune ATR and breakout thresholds for your market’s volatility. • Combine with higher-timeframe bias or liquidity levels for better accuracy. ⸻ ⚠️ Notes • For educational and testing purposes only. • Backtested results do not predict future performance. • Always test before live use.
Chiến lược Pine Script®
của averagemouse954
5
ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions. It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚙️ Core Logic -Asia Session: 8:00 PM – 11:59 PM (New York time) -London Session: 2:00 AM – 5:00 AM (New York time) -The script marks the Asia High/Low and London High/Low ranges for each day. -When the market sweeps above a session high → potential Short setup -When the market sweeps below a session low → potential Long setup -A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep). -Only one trade per sweep type (1 per High, 1 per Low) is allowed per session. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 📈 Risk Management -Configurable Risk/Reward Target (default = 2:1) -Configurable Position Size (number of contracts) -Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting. -All trades are automatically logged in the Strategy Tester with performance metrics. ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 💡 Features ✅ Visual session highlighting (Asia = Aqua, London = Orange) ✅ Automatic liquidity line plotting (session highs/lows) ✅ Entry & exit labels (optional visual display) ✅ Customizable RR and contract size ✅ Works on any instrument (ideal for indices, futures, or forex) ✅ Compatible with all timeframes (optimized for 1M–15M) ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- ⚠️ Notes -Best used on New York time-based charts. -Designed for educational and backtesting purposes — not financial advice. -Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions). ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- 🧩 Recommended Use Pair this with: -ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps) -Higher timeframe liquidity maps -Session bias or daily narrative filters ---------------------------------------------------------------------------------- ---------------------------------------------------------------------------------- Author: jygirouard Strategy Version: 1.3 Type: ICT Liquidity Sweep Automation Timezone: America/New_York
Chiến lược Pine Script®
của jygirouard
4-Hour Range Scalping [v6.3]User Guide: 4-Hour Range Scalping Strategy Hello! Here is the guide for the Pine Script strategy. Please read it carefully to get the best results. 📈 This script automates the "4-Hour Range Scalping Strategy" from the video. The main idea is that the first four hours of a major trading day (like New York) set up a "trap zone." The strategy waits for the price to break out of this zone and then fail, giving us a signal that the breakout was false and the price is likely to reverse. Here’s the simple logic: Define the Range: It precisely calculates the highest high and lowest low during the first four hours of the selected trading session (e.g., 00:00 to 04:00 New York Time). Wait for a Breakout: It then monitors the 5-minute chart for a price breakout where a candle fully closes outside of this established range. Identify the Reversal: The trade trigger occurs when the price fails to continue its breakout and a subsequent 5-minute candle closes back inside the range. This signals a potential reversal or "failed breakout." Execute the Trade: ]A Short (Sell) trade is triggered after a failed breakout above the range high. A Long (Buy) trade is triggered after a failed breakout below the range low. Manage the Risk: The Stop Loss is automatically placed at the peak (for shorts) or trough (for longs) of the breakout move, and the Take Profit is set to a default 2:1 Risk/Reward Ratio. How to Use the Script (Step-by-Step) ⚙️ Follow these instructions to get it running perfectly. 1. Set Your Chart Timeframe This is the most important step. The strategy is designed to run on a 5-minute (5m) chart. Open your TradingView chart and make sure the timeframe is set to "5m". 2. Add the Script to Your Chart Open the Pine Editor tab at the bottom of TradingView, paste the entire script, and click the "Add to chart" button. 3. Configure the Settings On your chart, find the strategy's name (e.g., "4-Hour Range Scalping ") and click the gear icon ⚙️ to open its settings. Trading Session: Choose the session for the range. New York is the default and the one from the video. Risk/Reward Ratio: The default is 2.0, meaning your potential profit is twice your potential loss. You can adjust this to test other targets. Backtesting Period: To see how the strategy performed on all historical data, go to the "Strategy Tester" panel, click its own gear icon ⚙️, and uncheck the boxes for "Start Date" and "End Date." 4. Understand the Visuals on Your Chart Blue Background Area: This is the 4-hour calculation window. The script is identifying the day's high and low during this time. No trades will ever happen here. Red Line (Range High): The highest price of the 4-hour window. This is the upper boundary of the "trap zone." Green Line (Range Low): The lowest price of the 4-hour window. This is the lower boundary. Green Triangle (▲): Shows where a Long (Buy) trade was entered. Red Triangle (▼): Shows where a Short (Sell) trade was entered. A Very Important Note on Timezones 🕒 This is critical for you in the Philippines (PHT). The script is based on the New York session, which is 12 hours behind you. Your TradingView chart will still show your local time, but the script works on NY time in the background. The New York "day" begins at 12:00 PM (Noon) your time. The script's blue calculation window will be from 12:00 PM to 4:00 PM your local time. The red and green range lines will appear on your chart only after 4:00 PM your time. So, if you look at your chart in the morning or early afternoon, you will not see today's range yet. This is normal! The script is just waiting for the New York session to start. How to Set Up Trade Alerts 🔔 You can have TradingView send you a notification whenever the script enters a trade. Click the "Alert" button (looks like a clock) in the right-hand toolbar of TradingView. In the "Condition" dropdown, select the name of the script (e.g., "4-Hour Range Scalping..."). You will then see two options: "Long Signal" and "Short Signal". Select one (e.g., "Long Signal") and configure how you want to be notified (e.g., "Notify on app"). Click "Create". Repeat the process to create an alert for the other signal. ⚠️ Important Disclosure For Educational and Research Purposes Only. This script and all accompanying information are provided for educational and research purposes only. The strategy demonstrated is a technical concept and should not be misconstrued as financial, investment, legal, or tax advice. Trading financial markets involves substantial risk and is not suitable for every investor. There is a possibility that you could sustain a loss of some or all of your initial investment. Therefore, you should not invest money that you cannot afford to lose. Past performance is not indicative of future results. The backtesting results shown by this script are historical and do not guarantee future performance. Market conditions are constantly changing. By using this script, you acknowledge that you are solely responsible for any and all trading decisions you make. You should conduct your own thorough research and, if necessary, seek advice from an independent financial advisor before making any investment decisions. The creators of this script assume no liability for any of your trading results.
Chiến lược Pine Script®
của edisonquinones