始めましょう

チャートパターン

Intellect TBTS V02 [Strategy]📌 Intellect V01 TBO – Trend Breakout Options Strategy Intellect V01 TBO is an intraday trend-breakout strategy designed for index traders who follow Nifty, BankNifty, and FinNifty. It identifies trend shifts using structural pivots, adaptive trendlines, and volatility-adjusted breakout zones. The strategy provides automatic Long/Short signals, optional stop-loss and target projections, and allows users to generate alert messages that include index-option strike information. 🔍 How the Strategy Works 1. Pivot-Based Structure The script identifies short-term high and low pivots using a user-defined period. These pivots become anchor points for constructing directional trendlines. 2. Dynamic Trendline Projection For each pivot, the script builds: A projected trendline Two offset lines above/below A volatility band based on ATR These help detect potential breakout zones. 3. Breakout Signal Logic A trade signal is generated when price crosses the projected trendline: Long Signal – detected when price breaks above a pivot-derived trendline. Short Signal – detected when price breaks below a pivot-derived trendline. Users may optionally restrict entries to a specific time window. 🎯 Stop-Loss & Target Zones When a trade is active: SL and TP levels are set using ATR-based volatility distance Levels appear visually on the chart if enabled Exits occur automatically when TP/SL is hit The strategy also closes open trades near the end of the session (default 3:10 PM) These levels are for visual and backtesting support only. 📝 Index Option Strike Calculation (For Alert Text Only) The strategy can dynamically compute: ATM strike (with optional bias) Correct expiry day for Nifty (weekly) and BankNifty/FinNifty (monthly Tuesday) CE strike for Long signals PE strike for Short signals This strike information is only included in alert text for users who configure external automation. It does not affect backtesting results inside TradingView. ⏱️ Time Window Filter (Optional) Users may define: Start time End time Outside this window, no new trades are generated. 🎛️ User Adjustable Inputs Pivot lookback period Trendline style and extension Display of target/stop-loss Expiry selection mode Strike-bias Lot size (for alert formatting only) Time filter settings 🔔 Alert Messages Alerts include: Direction (Long/Short) Strike details Option type (CE/PE) Quantity A formatted JSON message TradingView does not execute these orders. Users are responsible for managing external automation independently. ⚠️ Important Notes This script does not integrate with any broker by default. It does not place trades automatically; alerts only send text. Backtests simulate index movement, not live option pricing. We recommend using realistic slippage and commission settings. ✔️ This strategy is intended for educational and analytical use. Adjust settings as needed. ✅ 2. CLEAN CHART BEFORE PUBLISHING To avoid moderator flags: Do This Before Publishing: ✔ Remove all manual drawings ✔ Hide any other indicators on the chart ✔ Use light or clean background ✔ Keep only signals/SL/TP from your script If you leave extra drawings, moderators may hide the script again. ✅ 3. FINAL PUBLISHING CHECKLIST Before you click Publish, verify: ✔ Description matches the one above ✔ No broker names anywhere ✔ No "algo trading" or "automation" advertising ✔ Backtest settings are realistic Commission enabled Slippage > 1 Reasonable lot assumption ✔ Chart is clean ✔ Script is set to “Strategy” and compiles without warnings
Pine Script® ストラテジー
karthikbaburの投稿
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.
Pine Script® ストラテジー
Seawolf_AGIの投稿
CongTrader Strategy V1📈 CongTrader Strategy V1 — Official Overview CongTrader Strategy V1 is a precision-built algorithm designed for intraday and swing traders who want a structured, rules-driven approach to capturing directional momentum while avoiding low-quality market conditions. This strategy combines volatility-based logic, trend confirmation filters, and a market-conditioning engine to produce high-probability long and short signals with strictly candle-close confirmed entries (no intrabar repainting). 🔍 Core Philosophy Modern markets move in bursts of volatility that are often preceded by subtle shifts in momentum and structure. CongTrader V1 is engineered to: identify emerging directional pressure early filter out noise, consolidation, and choppy environments only execute when multiple conditions align maintain consistent, disciplined trade management The result is a strategy that aims to trade quality over quantity, focusing on clear, structured setups rather than impulsive, intrabar signals. 🧠 Key Components (High-Level Explanation) 1️⃣ Directional Signal Engine (Trigger System) The strategy uses a custom momentum-oscillation model to detect potential turning points and trend continuations. This engine smooths price action, measures pressure extremes, and generates trigger crossovers that signal potential long or short opportunities. (The exact formula and coefficients are proprietary and not displayed.) 2️⃣ ATR-Based Risk Management Each trade is automatically paired with: a volatility-adaptive stop loss, and a volatility-adaptive profit target This allows the strategy to adjust position management dynamically based on current market movement rather than fixed pip or dollar distances. 3️⃣ Trend Confirmation Filter (EMA) A long-term EMA trend filter prevents counter-trend entries by ensuring: Long positions trade only above trend Short positions trade only below trend This keeps signals aligned with higher-timeframe momentum. 4️⃣ VWAP Institutional Bias Filter VWAP is used as a dynamic market fair-value reference. The strategy only trades when price action shows favorable positioning relative to VWAP—helping avoid false moves and mean-reversion traps. 5️⃣ Range & Volatility Filter A volatility/range filter avoids entering during tight consolidations. If the market is not moving or lacks range expansion, the strategy waits patiently. This significantly reduces chop and whipsaw trades. 6️⃣ RTH (Regular Trading Hours) Protection Optionally limits trades to regular exchange hours for traders who avoid low-liquidity overnight sessions. ⏳ Candle-Close Entry Confirmation (No Repainting) All entries are strictly confirmed after the bar closes, which means: No intrabar fakeouts No signal disappearance No repainting Cleaner, more realistic backtesting This ensures the strategy behaves the same in backtests and in live charts. 🎯 Trade Logic Summary A trade is only taken when: ✔ A directional trigger signal occurs ✔ Price meets VWAP bias conditions ✔ Price aligns with the long-term trend ✔ Sufficient volatility/range is present ✔ (Optional) Within regular trading hours ✔ The candle has fully confirmed Every trade is managed automatically with ATR-based stop loss and take profit placement. 📊 Who This Strategy Is For CongTrader V1 works well for: Intraday traders (1–15m) Swing traders (30m–4h) Momentum and trend-followers Algorithmic traders looking for disciplined, rules-based entries Traders who want cleaner signals and less noise Anyone who wants to avoid low-quality, choppy markets 🔔 Alerts Included Built-in alerts notify you instantly when conditions for long or short entries are met, making it suitable for: Manual execution Automated trading systems Signal services 🧩 Important Note This strategy is designed for educational purposes and is not financial advice. Performance may vary depending on market conditions, broker feed, and instrument volatility. Always backtest thoroughly and use risk management.
Pine Script® ストラテジー
CongTraderの投稿
Cognex Fibonacci Breakout StrategyTHE COMPLETE TRADE LOGIC (What We Want): Step 1: Morning Session (9:30-10:30) Track session high and low Step 2: After 10:30 - Wait for Breakout Bullish: Close above session high Bearish: Close below session low Step 3: Track Extreme After Breakout Keep updating highest_after_breakout or lowest_after_breakout This continuously updates as price makes new extremes Step 4: Detect 28% Retracement (THE LOCK) When price retraces to 28%, set last_extreme_for_retracement to the current extreme This LOCKS the extreme for fibonacci calculations fib_100 should use this locked value Step 5: Place Limit Order EARLY (at 20% retracement) When price retraces to 20%, place limit order at 28% entry This is so the order is ready when price hits 28% Step 6: Cancel & Recalculate if New Extreme If price makes a NEW extreme AFTER the order is placed Cancel the old order Wait for new 20% retracement to place new order Step 7: One Trade Per Day Only ONE order placement attempt per day Even if cancelled, don't try again
Pine Script® ストラテジー
Dexea2019の投稿
RubberBand Scalp NQ Strategy (V6 - High PF Focus) ================================================================================ RUBBERBAND SCALP NQ (V6 - HIGH PF FOCUS) ================================================================================ // STRATEGY OVERVIEW // ----------------- // Instrument: NQ (Nasdaq 100 E-mini Futures) // Style: Intraday mean-reversion scalping // Core Idea: Price "stretches" away from VWAP, then "snaps back" → enter on strong reversal // Session: 9:00 AM – 2:30 PM CST (America/Chicago) // Timeframe: 1–5 min (ideal: 2–3 min) // Position: 2 contracts, pyramiding = 0 // Commission: $2.00 per contract // Goal: High Profit Factor via asymmetric exits (1R fixed + unlimited runner) // KEY FILTERS // ----------- // • Only trade when ATR(15) > 5.0 points (~$100 range) → avoids chop // • Must be in session → forces flat at 2:30 PM // • VWAP proximity: price must touch within 0.5 × ATR of VWAP // ENTRY LOGIC (LONG) // ----------------- // 1. In session & no position // 2. Close > Open (bullish bar) // 3. Close > highest high of last 4 bars → momentum confirmation // 4. Close > VWAP // 5. Low < VWAP + (0.5 × ATR) → pullback reached VWAP zone // 6. ATR > 5.0 // 7. Bar confirmed // → Plot green triangle below bar // ENTRY LOGIC (SHORT) – Symmetric // ----------------- // 1. Close < Open // 2. Close < lowest low of last 4 bars // 3. Close < VWAP // 4. High > VWAP - (0.5 × ATR) // 5. ATR > 5.0 // → Plot red triangle above bar // STOP LOSS – DUAL SYSTEM (Widest Stop Wins) // ----------------------------------------- // VWAP Stop (Long): VWAP - 0.20 // ATR Stop (Long): Close - min(ATR × 1.0, 15.0) // Final Stop: MAX(VWAP Stop, ATR Stop) → then CAP at Close - 0.20 // Short: MIN of both → FLOOR at Close + 0.20 // → Max buffer: 0.20 pts = $20 (4 ticks) // → Risk = |Entry – Final Stop| // PROFIT TAKING – 2 CONTRACTS // --------------------------- // Contract #1: Fixed 1R → limit = entry + risk (long) / entry - risk (short) // Contract #2: Trailing stop only → trail_points = risk, trail_offset = 0 // NO FIXED TAKE PROFIT ON RUNNER → lets 3R, 5R, 10R+ winners run // BUG: Short runner uses trail_offset = 1.5 → CHANGE TO 0 // V6 IMPROVEMENTS // --------------- // 1. ATR_STOP_MULTIPLIER reduced from 1.5 → 1.0 → tighter average loss // 2. Removed fixed 2R cap on runner → unlimited upside // 3. Widest-stop logic → prevents premature stop-outs // TRADE EXAMPLE (LONG) // ------------------- // Entry: 18,125 (2 contracts) // Stop: 18,110 → Risk = $300/contract // 1R: 18,155 → Contract #1 exits (+$600) // Runner trails by $300 → exits at 18,425 (+$6,000) // Total P&L: +$6,600 // PERFORMANCE EXPECTATIONS // ------------------------ // Win Rate: 40–50% // Avg Winner: >3× avg loser // Profit Factor: 2.0–3.5+ // Max Drawdown: <5% (with risk controls) // DAILY CHECKLIST // --------------- // 2–3 min NQ chart // Timezone: America/Chicago // ATR > 5.0 // Price touched VWAP zone // 4-bar breakout confirmed // trail_offset = 0 (both sides) // Alerts on // Log R-multiple // FINAL NOTES // ----------- // This is a PROFIT FACTOR system — not a high win-rate system. // Success = discipline + volatility + clean execution. ================================================================================
Pine Script® ストラテジー
mattkelly914の投稿
SP500 Session Gap Fade StrategySummary in one paragraph SPX Session Gap Fade is an intraday gap fade strategy for index futures, designed around regular cash sessions on five minute charts. It helps you participate only when there is a full overnight or pre session gap and a valid intraday session window, instead of trading every open. The original part is the gap distance engine which anchors both stop and optional target to the previous session reference close at a configurable flat time, so every trade’s risk scales with the actual gap size rather than a fixed tick stop. Scope and intent • Markets. Primarily index futures such as ES, NQ, YM, and liquid index CFDs that exhibit overnight gaps and regular cash hours. • Timeframes. Intraday timeframes from one minute to fifteen minutes. Default usage is five minute bars. • Default demo used in the publication. Symbol CME:ES1! on a five minute chart. • Purpose. Provide a simple, transparent way to trade opening gaps with a session anchored risk model and forced flat exit so you are not holding into the last part of the session. • Limits. This is a strategy. Orders are simulated on standard candles only. Originality and usefulness • Unique concept or fusion. The core novelty is the combination of a strict “full gap” entry condition with a session anchored reference close and a gap distance based TP and SL engine. The stop and optional target are symmetric multiples of the actual gap distance from the previous session’s flat close, rather than fixed ticks. • Failure mode it addresses. Fixed sized stops do not scale when gaps are unusually small or unusually large, which can either under risk or over risk the account. The session flat logic also reduces the chance of holding residual positions into late session liquidity and news. • Testability. All key pieces are explicit in the Inputs: session window, minutes before session end, whether to use gap exits, whether TP or SL are active, and whether to allow candle based closes and forced flat. You can toggle each component and see how it changes entries and exits. • Portable yardstick. The main unit is the absolute price gap between the entry bar open and the previous session reference close. tp_mult and sl_mult are multiples of that gap, which makes the risk model portable across contracts and volatility regimes. Method overview in plain language The strategy first defines a trading session using exchange time, for example 08:30 to 15:30 for ES day hours. It also defines a “flat” time a fixed number of minutes before session end. At the flat bar, any open position is closed and the bar’s close price is stored as the reference close for the next session. Inside the session, the strategy looks for a full gap bar relative to the prior bar: a gap down where today’s high is below yesterday’s low, or a gap up where today’s low is above yesterday’s high. A full gap down generates a long entry; a full gap up generates a short entry. If the gap risk engine is enabled and a valid reference close exists, the strategy measures the distance between the entry bar open and that reference close. It then sets a stop and optional target as configurable multiples of that gap distance and manages them with strategy.exit. Additional exits can be triggered by a candle color flip or by the forced flat time. Base measures • Range basis. The main unit is the absolute difference between the current entry bar open and the stored reference close from the previous session flat bar. That value is used as a “gap unit” and scaled by tp_mult and sl_mult to build the target and stop. Components • Component one: Gap Direction. Detects full gap up or full gap down by comparing the current high and low to the previous bar’s high and low. Gap down signals a long fade, gap up signals a short fade. There is no smoothing; it is a strict structural condition. • Component two: Session Window. Only allows entries when the current time is within the configured session window. It also defines a flat time before the session end where positions are forced flat and the reference close is updated. • Component three: Gap Distance Risk Engine. Computes the absolute distance between the entry open and the stored reference close. The stop and optional target are placed as entry ± gap_distance × multiplier so that risk scales with gap size. • Optional component: Candle Exit. If enabled, a bullish bar closes short positions and a bearish bar closes long positions, which can shorten holding time when price reverses quickly inside the session. • Session windows. Session logic uses the exchange time of the chart symbol. When changing symbols or venues, verify that the session time string still matches the new instrument’s cash hours. Fusion rule All gates are hard conditions rather than weighted scores. A trade can only open if the session window is active and the full gap condition is true. The gap distance engine only activates if a valid reference close exists and use_gap_risk is on. TP and SL are controlled by separate booleans so you can use SL only, TP only, or both. Long and short are symmetric by construction: long trades fade full gap downs, short trades fade full gap ups with mirrored TP and SL logic. Signal rule • Long entry. Inside the active session, when the current bar shows a full gap down relative to the previous bar (current high below prior low), the strategy opens a long position. If the gap risk engine is active, it places a gap based stop below the entry and an optional target above it. • Short entry. Inside the active session, when the current bar shows a full gap up relative to the previous bar (current low above prior high), the strategy opens a short position. If the gap risk engine is active, it places a gap based stop above the entry and an optional target below it. • Forced flat. At the configured flat time before session end, any open position is closed and the close price of that bar becomes the new reference close for the following session. • Candle based exit. If enabled, a bearish bar closes longs, and a bullish bar closes shorts, regardless of where TP or SL sit, as long as a position is open. What you will see on the chart • Markers on entry bars. Standard strategy entry markers labeled “long” and “short” on the gap bars where trades open. • Exit markers. Standard exit markers on bars where either the gap stop or target are hit, or where a candle exit or forced flat close occurs. Exit IDs “long_gap” and “short_gap” label gap based exits. • Reference levels. Horizontal lines for the current long TP, long SL, short TP, and short SL while a position is open and the gap engine is enabled. They update when a new trade opens and disappear when flat. • Session background. This version does not add background shading for the session; session logic runs internally based on time. • No on chart table. All decisions are visible through orders and exit levels. Use the Strategy Tester for performance metrics. Inputs with guidance Session Settings • Trading session (sess). Session window in exchange time. Typical value uses the regular cash session for each contract, for example “0830-1530” for ES. Adjust if your broker or symbol uses different hours. • Minutes before session end to force exit (flat_before_min). Minutes before the session end where positions are forced flat and the reference close is stored. Typical range is 15 to 120. Raising it closes trades earlier in the day; lowering it allows trades later in the session. Gap Risk • Enable gap based TP/SL (use_gap_risk). Master switch for the gap distance exit engine. Turning it off keeps entries and forced flat logic but removes automatic TP and SL placement. • Use TP limit from gap (use_gap_tp). Enables gap based profit targets. Typical values are true for structured exits or false if you want to manage exits manually and only keep a stop. • Use SL stop from gap (use_gap_sl). Enables gap based stop losses. This should normally remain true so that each trade has a defined initial risk in ticks. • TP multiplier of gap distance (tp_mult). Multiplier applied to the gap distance for the target. Typical range is 0.5 to 2.0. Raising it places the target further away and reduces hit frequency. • SL multiplier of gap distance (sl_mult). Multiplier applied to the gap distance for the stop. Typical range is 0.5 to 2.0. Raising it widens the stop and increases risk per trade; lowering it tightens the stop and may increase the number of small losses. Exit Controls • Exit with candle logic (use_candle_exit). If true, closes shorts on bullish candles and longs on bearish candles. Useful when you want to react to intraday reversal bars even if TP or SL have not been reached. • Force flat before session end (use_forced_flat). If true, guarantees you are flat by the configured flat time and updates the reference close. Turn this off only if you understand the impact on overnight risk. Filters There is no separate trend or volatility filter in this version. All trades depend on the presence of a full gap bar inside the session. If you need extra filtering such as ATR, volume, or higher timeframe bias, they should be added explicitly and documented in your own fork. Usage recipes Intraday conservative gap fade • Timeframe. Five minute chart on ES regular session. • Gap risk. use_gap_risk = true, use_gap_tp = true, use_gap_sl = true. • Multipliers. tp_mult around 0.7 to 1.0 and sl_mult around 1.0. • Exits. use_candle_exit = false, use_forced_flat = true. Focus on the structured TP and SL around the gap. Intraday aggressive gap fade • Timeframe. Five minute chart. • Gap risk. use_gap_risk = true, use_gap_tp = false, use_gap_sl = true. • Multipliers. sl_mult around 0.7 to 1.0. • Exits. use_candle_exit = true, use_forced_flat = true. Entries fade full gaps, stops are tight, and candle color flips flatten trades early. Higher timeframe gap tests • Timeframe. Fifteen minute or sixty minute charts on instruments with regular gaps. • Gap risk. Keep use_gap_risk = true. Consider slightly higher sl_mult if gaps are structurally wider on the higher timeframe. • Note. Expect fewer trades and be careful with sample size; multi year data is recommended. Properties visible in this publication • On average our risk for each position over the last 200 trades is 0.4% with a max intraday loss of 1.5% of the total equity in this case of 100k $ with 1 contract ES. For other assets, recalculations and customizations has to be applied. • Initial capital. 100 000. • Base currency. USD. • Default order size method. Fixed with size 1 contract. • Pyramiding. 0. • Commission. Flat 2 USD per order in the Strategy Tester Properties. (2$ buying + 2$selling) • Slippage. One tick in the Strategy Tester Properties. • Process orders on close. ON. Realism and responsible publication • No performance claims are made. Past results do not guarantee future outcomes. • Costs use a realistic flat commission and one tick of slippage per trade for ES class futures. • Default sizing with one contract on a 100 000 reference account targets modest per trade risk. In practice, extreme slippage or gap through events can exceed this, so treat the one and a half percent risk target as a design goal, not a guarantee. • All orders are simulated on standard candles. Shapes can move while a bar is forming and settle on bar close. Honest limitations and failure modes • Economic releases, thin liquidity, and limit conditions can break the assumptions behind the simple gap model and lead to slippage or skipped fills. • Symbols with very frequent or very large gaps may require adjusted multipliers or alternative risk handling, especially in high volatility regimes. • Very quiet periods without clean gaps will produce few or no trades. This is expected behavior, not a bug. • Session windows follow the exchange time of the chart. Always confirm that the configured session matches the symbol. • When both the stop and target lie inside the same bar’s range, the TradingView engine decides which is hit first based on its internal intrabar assumptions. Without bar magnifier, tie handling is approximate. Legal Education and research only. This strategy is not investment advice. You remain responsible for all trading decisions. Always test on historical data and in simulation with realistic costs before considering any live use.
Pine Script® ストラテジー
exluxの投稿
2
ETH SuperTrend Hull Strategy - 15min Futures(重制版)🟠 ETH SuperTrend Hull Strategy - 15min Futures Strategy Overview The "ETH SuperTrend Hull Strategy" is a sophisticated 15-minute trading system specifically designed for Bitcoin perpetual contracts. This advanced algorithm integrates SuperTrend indicators with Hull moving averages to deliver high-precision trend following through a triple-confirmation mechanism, featuring intelligent position management and multi-level take-profit systems. Core Value Proposition Triple Trend Confirmation: SuperTrend + Hull MA + ATR volatility filtering Adaptive Take-Profit System: 6-level dynamic profit targets adjusted to market conditions Smart Position Management: Three martingale modes with automatic sizing Real-time Webhook Integration: Direct exchange connectivity for automated execution 🟠 Technical Framework Multi-Layer Trend Detection Layer 1 - SuperTrend Filter pinescript = ta.supertrend(supertrend_factor, supertrend_atr_period) is_supertrend_long = direction < 0 // Bullish trend line is_supertrend_short = direction >= 0 // Bearish trend line Layer 2 - Hull MA Confirmation pinescript HMA = HMA(close, 73) // Hull Moving Average hull_is_green = HULL > HULL // Uptrend confirmation hull_is_red = HULL <= HULL // Downtrend confirmation Layer 3 - ATR Breakout Signals pinescript xATR = ta.atr(5) nLoss = key_value * xATR // Dynamic stop distance Entry Conditions Long Entry: Price breaks above ATR trailing stop Hull MA shows green uptrend SuperTrend indicates bullish momentum Price positioned above Hull MA Short Entry: Price breaks below ATR trailing stop Hull MA shows red downtrend SuperTrend indicates bearish momentum Price positioned below Hull MA 🟠 Risk Management System Position Sizing text Base Position = Initial Capital × Risk % / Entry Price × Leverage Actual Position = Base Position × Martingale Multiplier (1.0-5.0x) Martingale Modes 4x Mode: Conservative approach, maximum 4x position scaling 5x Mode: Balanced risk management, maximum 5x scaling 5x Big Mode: Aggressive growth with faster position increases Dynamic Take-Profit System 6-Level Profit Targets: TP1: 2.2×ATR (Close 30%) TP2: 4.5×ATR (Close 25%) TP3: 7.5×ATR (Close 20%) TP4: 10.5×ATR (Close 10%) TP5: 15.5×ATR (Close 7%) TP6: 20.5×ATR (Close 3%) ATR Adaptive Adjustment: Short-term ATR > Long-term ATR: TP distance +0.5 Short-term ATR < Long-term ATR: TP distance -0.5 🟠 Configuration Parameters Core Settings pinescript // Trend Sensitivity key_value = 2.0 // ATR multiplier (lower = more sensitive) supertrend_factor = 3.0 // SuperTrend factor // Risk Management risk_percent = 19.9 // Per trade risk % leverage = 1.0 // Leverage multiplier Hull MA Configuration pinescript length = 73 // Hull period (55-200) modeSwitch = "Hma" // Hull variant (Hma/Thma/Ehma) 🟠 Quick Start Guide Initial Setup Apply to BTCUSDT perpetual 15-minute chart Configure Webhook Signal ID and User ID Adjust position parameters according to risk preference Signal Monitoring Long Signals: Green arrows with Hull MA turning green Short Signals: Red arrows with Hull MA turning red Trend Direction: SuperTrend line color changes Execution Workflow Wait for triple-signal confluence Confirm all entry conditions met System automatically calculates position size and TP levels Webhook sends trade instructions to connected platform Advanced Features Heikin-Ashi Mode: Smooth price data using Heikin-Ashi candles Fixed Position Mode: Disable martingale, use fixed sizing Multi-Timeframe: Higher timeframe confirmation integration 🟠 ETH SuperTrend Hull Strategy - 15min Futures 策略概述 "ETH超级趋势Hull策略"是一款专为比特币永续合约设计的15分钟短线交易系统。该策略融合超级趋势指标与Hull均线，通过三重过滤机制实现高精度趋势跟踪，具备智能仓位管理和多级止盈体系。 核心价值 三重趋势确认：Supertrend + Hull均线 + ATR波动过滤 自适应止盈系统：6级动态止盈，根据市场波动调整目标 智能仓位管理：支持三种倍投模式，自动调整仓位规模 实时Webhook通知：直连交易平台，实现自动化执行 🟠 策略原理 趋势识别系统 第一层 - 超级趋势过滤 pinescript = ta.supertrend(supertrend_factor, supertrend_atr_period) is_supertrend_long = direction < 0 // 绿色趋势线 is_supertrend_short = direction >= 0 // 红色趋势线 第二层 - Hull均线确认 pinescript HMA = HMA(close, 73) // Hull移动平均线 hull_is_green = HULL > HULL // 上升趋势 hull_is_red = HULL <= HULL // 下降趋势 第三层 - ATR突破信号 pinescript xATR = ta.atr(5) nLoss = key_value * xATR // 动态止损距离 入场条件 多头入场： 价格突破ATR追踪止损 Hull均线呈绿色上升趋势 超级趋势显示看涨信号 价格位于Hull均线上方 空头入场： 价格跌破ATR追踪止损 Hull均线呈红色下降趋势 超级趋势显示看跌信号 价格位于Hull均线下方 🟠 风险管理 仓位计算 text 基础仓位 = 初始资金 × 风险比例% / 入场价格 × 杠杆倍数 实际仓位 = 基础仓位 × 倍投系数 (1.0-5.0倍) 倍投模式 4倍模式：保守型，最大4倍加仓 5倍模式：均衡型，最大5倍加仓 5倍大模式：激进型，更快仓位增长 动态止盈系统 6级止盈目标： TP1: 2.2×ATR (平仓30%) TP2: 4.5×ATR (平仓25%) TP3: 7.5×ATR (平仓20%) TP4: 10.5×ATR (平仓10%) TP5: 15.5×ATR (平仓7%) TP6: 20.5×ATR (平仓3%) ATR自适应调整： 短期ATR > 长期ATR：止盈距离+0.5 短期ATR < 长期ATR：止盈距离-0.5 🟠 参数配置 核心参数 pinescript // 趋势敏感度 key_value = 2.0 // ATR乘数，值越小越敏感 supertrend_factor = 3.0 // 超级趋势因子 // 风险管理 risk_percent = 19.9 // 单次交易风险% leverage = 1.0 // 杠杆倍数 Hull均线设置 pinescript length = 73 // Hull周期 (55-200) modeSwitch = "Hma" // Hull变体 (Hma/Thma/Ehma) 🟠 使用指南 初始设置 添加到BTCUSDT永续合约15分钟图表 配置Webhook信号ID和用户ID 根据风险偏好调整仓位参数 信号监控 多单信号：绿色箭头，Hull均线转绿 空单信号：红色箭头，Hull均线转红 趋势方向：超级趋势线颜色变化 执行流程 等待三重信号共振 确认入场条件满足 系统自动计算仓位和止盈 通过Webhook发送交易指令 高级功能 K线均线模式：使用Heikin-Ashi平滑价格 固定仓位模式：禁用倍投，固定仓位大小 多时间框架：集成更高时间框架确认
Pine Script® ストラテジー
AI-996NBの投稿
Sunflower Quant - ETH 15min Strategy🟠 Sunflower Quant - ETH 15min Strategy Strategy Overview The " Sunflower Quant - ETH 15min Strategy" is a sophisticated automated trading system specifically designed for ETH/USDT on 15-minute timeframes. This advanced algorithm integrates over 20 technical indicators and price action patterns to deliver intelligent entry decisions and comprehensive risk management. Core Value Proposition Multi-Timeframe Integration: Combines 1-hour and 4-hour higher timeframe data for signal validation Dynamic Market Regime Detection: Real-time identification of Low Volatility, Ranging, and High Volatility market environments Comprehensive Scoring System: Three-dimensional evaluation model based on Breakout Signals, Pattern Recognition, and Position Analysis Adaptive Position Sizing: Dynamic allocation based on signal strength and market volatility 🟠 Core Architecture Three-Layer Analytical Framework 1. Market Regime Detection System Real-time market environment assessment through four dimensions: ATR Relative Volatility Bollinger Band Width Average Amplitude Momentum Strength Market State Classification: Low Volatility (≤30 points): Narrow ranges, awaiting breakout Ranging Market (31-65 points): Moderate volatility, suitable for range trading High Volatility (>65 points): Strong trends, ideal for trend following 2. Signal Generation Engine Breakout Signal Layer: Donchian Channel Breakouts (Upper/Middle/Lower) Keltner Channel Breakouts (Upper/Middle/Lower) Double ATR Momentum Confirmation Pattern Recognition Layer: Price Action: Outside Bars, Engulfing Patterns, False Breakouts Candlestick Patterns: Hammer, Inverted Hammer, Doji, Dragonfly, Gravestone Three Soldiers Method: Single-bar and Three-bar consecutive patterns Position Analysis Layer: Ichimoku Cloud Position (Above/Within/Below) ADX Trend Strength Confirmation DC/KC Middle Band Position Analysis 3. Volume & POC Analysis Volume Confirmation: High Volume Breakout Validation Medium Volume Support Confirmation Point of Control (POC) Value Areas: Volume-based dense trading zone identification POC Cluster Scoring System (Size Score + Volume Score + Time Score) 🟠 Trading Logic Specification Entry Signal Classification A-Class Signals (Strong Breakout) Trigger: VP breaking key POC levels + strong pattern confirmation Characteristics: High confidence, larger position sizing Stop Loss: Wider stops based on historical ATR volatility B-Class Signals (Pattern Confirmed) Trigger: Clear price patterns + volume confirmation Characteristics: Medium confidence, standard position sizing Stop Loss: Based on pattern lows/highs C-Class Signals (Weak Reversal) Trigger: Single indicator signals + positional support Characteristics: Lower confidence, small exploratory positions Stop Loss: Tight stops for quick exits Scoring Weight Distribution text Base Score = Breakout(30%) + Patterns(40%) + Position(30%) Final Score = Base Score × Market Regime Coefficient × Cloud Position Coefficient 🟠 Risk Management System Dynamic Stop Loss Strategy Initial Stop Loss: ATR-based volatility + market regime adjustment Trailing Stop: Phased tracking, progressively locking profits Position Management text Base Position = Initial Capital × Base Coefficient / Stop Distance Final Position = Base Position × Signal Strength Coefficient × Market Volatility Coefficient Take Profit System Scaled Profit Taking: 8 profit levels with proportional position distribution Dynamic Adjustment: Trailing stop activation upon reaching specific profit tiers 🟠 Configuration Parameters Market Regime Thresholds pinescript Low Volatility: ≤30 points Ranging Market: 31-65 points High Volatility: >65 points Signal Strength Thresholds pinescript // Current Entry Thresholds (No Position) Low Volatility: Long 82 / Short 82 Ranging: Long 75 / Short 80 High Volatility: Long 80 / Short 85 // Reversal Entry Thresholds Low Volatility: Long 75 / Short 90 Ranging: Long 85 / Short 90 High Volatility: Long 90 / Short 100 🟠 Usage Guide 1. Initial Setup Apply to ETH/USDT 15-minute chart Configure webhook Signal ID and UID Adjust initial capital parameters according to account size 2. Key Monitoring Elements Market Regime Indicator: Watch background color changes Signal Score Display: Monitor real-time long/short scores POC Value Areas: Identify key support/resistance levels 3. Trading Decision Process Trend Confirmation Phase: text 1. Observe market regime background 2. Confirm Ichimoku cloud position 3. Check ADX trend strength Entry Signal Screening: text 1. Comprehensive score > corresponding threshold 2. Multiple indicator signal confluence 3. Volume confirmation alignment Risk Management Execution: text 1. Automatic position size calculation 2. Set scaled take profit and stop loss 3. Monitor trailing stop updates 4. Advanced Features Lookback Mode: Historical signal validation Special Close: Early exit based on ATR ratio Signal Filtering: Optimize signal quality through component weight adjustment This systematic multi-factor scoring strategy delivers stable automated trading decisions in complex market environments, particularly well-suited for the short-term volatility characteristics of cryptocurrencies like Ethereum. Strategy Name: Sunflower Quantitative Strategy Symbol: ETH/USDT Timeframe: 15-minute Market: Cryptocurrency Strategy Type: Multi-timeframe Quantitative Analysis Risk Level: Medium-High Recommended Capital: $10,000+ for optimal position sizing "向日葵量化"是一款专为ETH 15分钟图表设计的全自动量化交易策略。该策略通过多维度技术分析框架，集成超过20种技术指标与价格行为模式，实现智能化的入场决策与风险控制。 核心价值 多时间框架协同：整合1小时、4小时高周期数据，确保信号质量 动态市场状态识别：实时识别低波动、震荡、高波动三种市场环境 综合评分系统：基于突破信号、形态识别、位置分析的三维评分模型 智能仓位管理：根据信号强度与市场波动率动态调整仓位规模 🟠【核心架构】 策略基于三层分析框架构建： 1. 市场状态识别系统 通过ATR相对波动率、布林带宽、平均振幅、动量强度四个维度，实时判断当前市场环境： 低波动市场（≤30分）：窄幅震荡，等待突破 震荡市场（31-65分）：中等波动，适合区间交易 高波动市场（＞65分）：趋势明确，适合趋势跟踪 2. 信号生成引擎 突破信号层： DC通道突破（上轨/中轨/下轨） KC通道突破（上轨/中轨/下轨） 双ATR动量确认 形态识别层： 价格行为模式：外包线、吞没形态、假突破 K线形态：锤子线、倒锤子线、十字星、蜻蜓线、墓碑线 三兵三法：单根强度与三根连续形态 位置分析层： 云图位置关系（之上/之中/之下） ADX趋势强度确认 DC/KC中轨位置判断 3. 成交量与POC分析 成交量确认： 高成交量突破确认 中等成交量支撑确认 POC价值区域： 基于成交量分布的密集成交区识别 POC集群评分系统（规模分+成交量分+时间分） 🟠【交易逻辑详解】 入场信号分类 A类信号（强势突破） 触发条件：VP突破POC关键位 + 强势形态确认 特征：高置信度，大仓位配置 止损设置：相对宽松，基于ATR历史波动率 B类信号（形态确认） 触发条件：明确价格形态 + 成交量确认 特征：中等置信度，标准仓位 止损设置：基于形态低点/高点 C类信号（弱势反弹） 触发条件：单一指标信号 + 位置支撑 特征：低置信度，小仓位试探 止损设置：紧凑止损，快速离场 评分权重分配 text 基础分 = 突破分(30%) + 形态分(40%) + 位置分(30%) 最终分 = 基础分 × 市场状态系数 × 云图位置系数 🟠【风险管理系统】 动态止损策略 初始止损：基于ATR波动率 + 市场状态调整系数 移动止损：分阶段跟踪，逐级锁定利润 仓位管理 text 基础仓位 = 初始资金 × 基础系数 / 止损距离 最终仓位 = 基础仓位 × 信号强度系数 × 市场波动系数 止盈系统 分级止盈：8个止盈级别，按仓位比例分配 动态调整：达到特定止盈级别后启动移动止损 🟠【配置参数】 市场状态阈值 pinescript 低波动区间：≤30分 震荡区间：31-65分 高波动区间：＞65分 信号强度阈值 pinescript // 当前开仓阈值（无持仓） 低波动：做多82分 / 做空82分 震荡：做多75分 / 做空80分 高波动：做多80分 / 做空85分 // 反转开仓阈值 低波动：做多75分 / 做空90分 震荡：做多85分 / 做空90分 高波动：做多90分 / 做空100分 🟠【使用指南】 1. 初始设置 添加到ETH/USDT 15分钟图表 配置webhook信号ID和UID 根据资金量调整初始资本参数 2. 监控要点 市场状态指示器：关注背景颜色变化 信号评分显示：实时查看多头/空头得分 POC价值区域：识别关键支撑阻力 3. 交易决策流程 趋势确认阶段： text 1. 观察市场状态背景色 2. 确认云图位置关系 3. 检查ADX趋势强度 入场信号筛选： text 1. 综合评分 > 对应阈值 2. 多指标信号共振 3. 成交量确认配合 风险管理执行： text 1. 自动计算仓位大小 2. 设置分级止盈止损 3. 监控移动止损更新 4. 高级功能 回看模式：启用历史信号验证 特殊平仓：基于ATR比率的提前离场 信号过滤：通过调整各组件权重优化信号质量 该策略通过系统化的多因子评分机制，在复杂的市场环境中实现稳定的自动化交易决策，特别适合ETH等加密货币的短期波动特性。
Pine Script® ストラテジー
AI-996NBの投稿
4
Trilok saini EMA Pullback + MACD + ADX Strategy📌 HA Double EMA Pullback + MACD + ADX Strategy — Description This strategy combines Heikin Ashi candles, Double EMA pullbacks, MACD momentum filtering, and ADX trend-strength confirmation to generate high-probability trend-continuation signals. It is designed to avoid choppy markets and focus only on strong trending conditions. 🔥 Key Features 1️⃣ Heikin Ashi Trend Analysis Heikin Ashi candles are calculated on the selected timeframe. They smooth out market noise to highlight clear bullish or bearish trends. Trend direction is displayed in a live info table. 2️⃣ Double EMA Pullback Logic The main signal engine of this strategy: Buy conditions Price crosses above EMA 20 EMA 20 > EMA 50 (confirming uptrend) A pullback is detected using the back-step (price was above EMA earlier) MACD + ADX filters approve the trade Sell conditions Price crosses below EMA 20 EMA 20 < EMA 50 (confirming downtrend) Pullback confirmation based on earlier price action MACD + ADX filters approve the trade This logic focuses on trend continuation instead of reversal setups. 3️⃣ MACD Momentum Filter Buy signals appear only when MACD histogram is positive (green). Sell signals appear only when MACD histogram is negative (red). Prevents entries during weak or directionless momentum. 4️⃣ ADX Trend Strength Filter Signals are blocked when ADX is below the selected threshold. Ensures trades happen only in strong trending markets, reducing false signals. 5️⃣ Visual Enhancements Clean Heikin Ashi candles with customizable colors Optional regular candles for comparison EMA overlays on HA candles Buy/Sell labels with customizable text Info table showing: Trend direction HA close Regular close EMA values ADX reading Active filters 🎯 Ideal Use Cases Trend-following traders Swing traders Intraday traders who want filtered signals Anyone wanting fewer false signals in sideways markets ⚠️ Disclaimer This script is for educational and research purposes only. Past performance does not guarantee future results. Always backtest and use proper risk management.
Pine Script® ストラテジー
khulikitaab67の投稿
LiquiBreak — Semi-Automatic Breakout, Gap & Trend-Filter StrategLiquiBreak is a semi-automatic breakout + gap detection strategy that combines pivots, a volatility filter and an optional Supertrend direction check to generate entry signals. It can optionally place take-profit and stop-loss orders in points. Use it to highlight high-probability breakout/gap setups and to automate exits when you want — otherwise treat its signals as trade alerts that require your confirmation. 📌 LiquiBreak — Semi-Automatic Breakout, Gap & Trend Strategy 1. Overview 1. LiquiBreak is a semi-automatic breakout + gap strategy designed to catch high-quality moves with volatility confirmation. 2. Uses pivot-based support/resistance , gap detection , Supertrend filtering , and optional automatic TP/SL in points . 3. Works on all assets and timeframes, especially effective on XAUUSD, Indices, Crypto and FX pairs . --- 2. What This Script Detects 1. Breakouts above resistance and below support during strong volatility. 2. Bullish & bearish gap patterns confirmed with momentum sequences. 3. Dynamic volatility zones based on normalized ATR ranges. 4. Optional Supertrend trend direction for filtering bad signals. 5. Automatic TP/SL orders when enabled. --- 3. Recommended Indicators to Combine With To increase accuracy and reduce false breakouts: 1. Supertrend (included) – best for trend direction. 2. EMA 9/21 or EMA 20/50 – confirms trend strength & pullbacks. 3. RSI or Stoch RSI – avoid overbought/oversold breakouts. 4. VWAP – institutional bias & fair value zones. 5. CPR / Pivot Points – confluence with breakout levels. 6. MACD – trend confirmation on higher timeframe. 7. Volume Profile (optional) – find breakout liquidity zones. These indicators help filter low-quality signals without affecting the script’s core logic. --- 4. Key Features 1. Volatility-based pivot support & resistance . 2. Reliable breakout confirmation using real-time volatility strength. 3. Strong gap pattern detection with ATR threshold. 4. Optional Supertrend confirmation for safer entries. 5. Point-based Take Profit / Stop Loss . 6. Toggle on/off: Longs, Shorts, TP, SL . 7. Semi-automatic execution — not fully automated. 8. Clean, optimized structure for stability and speed. --- 5. Inputs / Settings 1. Pivot / Levels Period – defines structural S/R levels. 2. Volatility Filter (%) – prevents low-quality signals. 3. TP Points – automatic take-profit target. 4. SL Points – automatic stop-loss. 5. Enable TP / Enable SL – full exit control. 6. Allow Long / Allow Short – direction control. 7. Supertrend Filter – filter weak counter-trend trades. --- 6. How to Use the Strategy 1. Select timeframe & tune pivot/volatility settings. 2. Enable/disable automatic TP/SL based on your style. 3. Turn ON Supertrend for safer trend-based trades. 4. Confirm signals using EMA, RSI, VWAP, Volume or CPR. 5. Watch for high-volatility breakouts near key levels. 6. Use multiple timeframe analysis for stronger confirmation. --- 7. Important Warning (User Must Monitor Trades) ⚠ This script is NOT a fully automatic bot. 1. You MUST monitor the chart while using this strategy. 2. You MUST manually close trades if market conditions change. 3. Auto TP/SL helps, but during news events or fast markets, slippage may occur. 4. Treat this script as a signal + entry assistant , not a fire-and-forget system. --- 8. Best Practices 1. Works best on XAUUSD, NAS100, BTC, ETH, EURUSD . 2. Avoid major news unless experienced. 3. Increase volatility filter during choppy markets. 4. Use M15–H1 for clean breakouts; M5 for scalping. 5. For beginners: keep TP/SL enabled for safety. 6. Backtest first → then paper trade → then live trade. --- 9. Disclaimer 1. For educational and research purposes only . 2. Not financial advice. 3. User is fully responsible for their trades and risk. 4. Past performance does not guarantee future results.
Pine Script® ストラテジー
shubham_singh_1927の投稿
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting📊 I. Strategy Overview: Trust Backed by Numbers The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data. This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period. ■ Visual Proof: Bar Replay Simulation The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms: Confirmed buy/sell signals with exact execution prices (marked in red and blue) No repainting or signal distortion after candle close Consistent performance across multiple market cycles within the highlighted zone 💰 Core Performance Metrics: Cumulative Return: 2,609.14% (compounded growth over 7 years) Maximum Drawdown (MDD): 6.999% (preserving over 93% of capital) Average Profit/Loss Ratio: 8.003 (industry-leading risk-reward efficiency) Total Trades: 24 (focused exclusively on high-conviction opportunities) Sortino Ratio: 11.486 (mathematically proving robustness and stability) ✅ This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period. 📊 I. 전략 개요: 숫자로 입증된 신뢰 ADX Sniper v12 전략은 2018년 11월 14일부터 2025년 11월 8일까지 약 7년간 비트코인 (BTCUSD.P) 선물 시장의 모든 주요 사이클을 거치며 엄격하게 검증되었습니다. 수익성 극대화와 변동성 최소화라는 상충되는 목표를 동시에 달성한 이 전략의 핵심 성과 지표를 객관적 데이터를 통해 확인하실 수 있습니다. 본 전략은 7년간의 모든 비트코인 (BTCUSD.P) 선물 시장 사이클에서 검증되었습니다. ■ 시각적 증명: 바 리플레이 시뮬레이션 위 차트는 TradingView의 바 리플레이 기능으로 포착된 실제 진입 및 청산 시점을 보여줍니다. 녹색 네모는 핵심 수익 구간을 표시하며, 전략이 지속적인 상승 추세를 성공적으로 포착한 영역을 나타냅니다. 본 시각 자료는 다음을 입증합니다: 정확한 체결 가격이 표기된 확정된 매수/매도 신호 (빨강색과 파랑색으로 표시) 캔들 종가 후 신호 왜곡이나 리페인팅 없음 강조 표시된 구간 내 여러 시장 사이클에 걸친 일관된 성과 💰 핵심 성과 지표: 누적 수익률: 2,609.14% (7년간 복리 성장 입증) 최대 낙폭 (MDD): 6.999% (7년간 자본의 93% 이상 보존) 평균 손익비: 8.003 (업계 최고 수준의 위험-보상 효율성) 총 거래 횟수: 24회 (고확신 기회에만 집중) 소르티노 비율: 11.486 (전략의 견고성과 안정성을 수학적으로 입증) ✅ 본 전략은 7년간의 모든 비트코인 (BTCUSD.P) 선물 시장 사이클에서 검증되었습니다. 🛡️ II. Core Philosophy: Cut Losses Short, Let Profits Run Why MDD Stays Below 7% in a Volatile Market The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck: 🎯 Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones. 🏛️ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns. The Power of an 8.003 Profit Factor The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns. A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy: Cutting losses quickly (averaging $177,419 USD loss per trade) Riding winners for maximum extension (averaging $1,419,920 USD profit per trade) 🛡️ II. 핵심 철학: 손실은 빠르게 자르고, 수익은 끝까지 암호화폐 시장에서 MDD <7%의 의미 암호화폐 선물 시장은 일일 변동성이 10%를 초과하는 경우가 빈번하며, 일반적인 전략들은 30~50%의 MDD를 겪습니다. 이와 극명한 대조로, 본 전략은 7년간 단 한 번도 7%를 초과하는 계좌 손실을 기록하지 않았습니다. 이렇게 극도로 낮은 MDD는 운이 아닌 체계적인 메커니즘을 통해 달성되었습니다: 🎯 진입 필터링: 'ADX 팝업 필터'가 핵심 구성 요소로, 시장 상황이 주요 반전이나 횡보를 나타낼 때 거래를 엄격히 회피하여 고위험 구간 노출을 최소화합니다. 🏛️ 자본 보존 우선: 본 전략은 최대 잠재 손실을 감수하기보다 투자자의 심리적 안정성과 자본 보존을 우선시하도록 설계되었습니다. 손익비 8.003의 힘 손익비는 '총 수익 거래'와 '총 손실 거래'의 비율로, 위험 조정 수익을 측정하는 핵심 지표입니다. 8.003이라는 값은 1달러를 잃을 때마다 평균적으로 8달러 이상을 벌어들이는 구조를 의미합니다. 이는 진정한 추세 추종 전략의 최대 효율성을 보여줍니다: 손실은 빠르게 자르고 ($177,419 USD 평균 손실) 수익은 최대한 연장합니다 ($1,419,920 USD 평균 수익) 🎯 III. Strategy Reliability and Structural Edge The Secret of 24 Trades in 7 Years Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading: ❌ No commission bleed ❌ No slippage erosion ❌ No psychological wear from overtrading 📈 Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise. Non-Repainting Structure: Alignment of Reality and Simulation 🎬 Non-Repainting Proof Video Available ※↑ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years." ✅ Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed. ✅ Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments. ✅ Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results. 🎯 III. 전략의 신뢰성과 구조적 우위 7년간 24회 거래의 비밀 7년간 단 24회의 거래는 시장 변동성의 99%를 무시하고 오직 1%의 '가장 확실한 매수 사이클'만을 타겟으로 한다는 것을 의미합니다. 이는 과도한 거래로 인한 문제를 근본적으로 제거합니다: ❌ 수수료 소모 없음 ❌ 슬리피지 침식 없음 ❌ 과도한 트레이딩으로 인한 심리적 소모 없음 📈 장기 추세 추종: 비트코인 가격 역사를 지배하는 장기 사이클 분석을 활용하여, 단기 시장 노이즈에 흔들리지 않고 대규모 추세의 시작점을 포착하는 데 집중합니다. 논-리페인팅 구조: 현실과 시뮬레이션의 일치 🎬 논-리페인팅 증명 영상 제공 가능 ※↑ "원하신다면 7년간 리페인팅이 없음을 증명하는 영상도 보여드릴 수 있습니다." ✅ 실시간 거래 신뢰성: 본 전략은 논-리페인팅 구조로 구축되어, 캔들의 종가가 확정된 후에만 매수/매도 신호를 생성합니다. ✅ 데이터 과장 방지: 이러한 설계는 백테스트 결과가 과거 성과를 '리페인팅'하거나 과장하지 않도록 보장하며, 시뮬레이션 결과와 실제 라이브 거래 환경 간의 높은 상관관계를 보장합니다. ✅ 라이브 실행 우위 가능성: 시뮬레이션은 종가 기준이지만, 라이브 운영 시 캔들이 마감되기 전 더 유리한 가격에 진입할 수 있어 시뮬레이션 결과보다 더 나은 실행 성과를 얻을 가능성이 있습니다. 📈 IV. Performance Summary (November 14, 2018 - November 8, 2025) | Metric | Value || Metric | Value | |--------|-------| | Initial Capital | $1,000,000 | | Net Profit | +$26,091,383.74 | | Cumulative Return | +2,609.14% | | Maximum Drawdown | -6.999% | | Total Trades | 24 | | Winning Trades | 19 (79.17%) | | Losing Trades | 5 (20.83%) | | Avg Winning Trade | +$1,419,920.16 | | Avg Losing Trade | -$177,419.86 | | Profit Factor | 8.003 | | Sortino Ratio | 11.486 | | Win/Loss Ratio | 8.003 | ⚙️ Default Settings: Slippage: 0 ticks Commission: 0.333% (Bybit standard) 📈 IV. 성과 지표 요약 (2018년 11월 14일 ~ 2025년 11월 8일) || 지표 | 값 | |--------|-------| | 초기 자본 | $1,000,000 | | 순이익 | +$26,091,383.74 | | 누적 수익률 | +2,609.14% | | 최대 낙폭 | -6.999% | | 총 거래 횟수 | 24 | | 수익 거래 | 19 (79.17%) | | 손실 거래 | 5 (20.83%) | | 평균 수익 거래 | +$1,419,920.16 | | 평균 손실 거래 | -$177,419.86 | | 손익비 | 8.003 | | 소르티노 비율 | 11.486 | | 평균 손익 비율 | 8.003 | ⚙️ 기본 설정: 슬리피지: 0틱 (기본값) 수수료: 0.333% (Bybit 표준) 👥 V. Who Is This Strategy For? ✅ Long-term Bitcoin investors seeking stable, low-drawdown returns ✅ Traders tired of overtrading who prefer surgical, sniper-style precision entries ✅ Investors seeking psychological stability by avoiding large account swings ✅ Data-driven decision makers who value proven performance over marketing claims 👥 V. 이 전략은 누구를 위한 것인가요? ✅ 안정적이고 낮은 낙폭의 수익을 추구하는 장기 비트코인 투자자 ✅ 과도한 매매에 지친 트레이더로 저격수 스타일의 정밀한 진입을 선호하는 분 ✅ 큰 계좌 변동을 피하여 심리적 안정성을 추구하는 투자자 ✅ 주장보다 검증된 객관적 성과를 중시하는 데이터 기반 의사 결정자 🔒 VI. Access & Disclaimer 🔐 Access Type: Invite-Only (Protected Source Code) 💬 How to Get Access: Send a private message or leave a comment below ⚠️ Important Disclaimer: Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy. 🔒 VI. 접근 방법 및 면책사항 🔐 접근 유형: 초대 전용 (소스코드 보호) 💬 접근 방법: 비공개 메시지 또는 아래 댓글 남기기 ⚠️ 중요 면책사항: 과거 성과가 미래 결과를 보장하지 않습니다. 암호화폐 및 선물 거래는 상당한 손실 위험을 수반합니다. 본 전략은 교육 및 정보 제공 목적으로만 제공됩니다. 사용자는 투자 결정을 내리기 전 자체 조사를 수행하고 재무 자문가와 상담해야 합니다. 저자는 본 전략 사용으로 인한 재정적 손실에 대해 책임지지 않습니다. 🏷️ VII. Tags Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio 🏷️ VII. 태그 비트코인 |비트코인 | BTCUSD | BTCUSD.P | 바이비트 | 일봉 | 장기투자 | 추세추종 | ADX | 논리페인팅 | 전략 | 백테스트검증 | 7년검증 | 저낙폭 | 고손익비 | 안정수익 | 자본보존 | 일목균형표 | DMI | 슈퍼트렌드 | 기술적분석 | 변동성 | 위험관리 | 자동매매 | 선물 | 무기한선물 | 알고리즘트레이딩 | 시스템트레이딩 | 데이터기반 | 초대전용 | 보호스크립트 | 저격수트레이딩 | 고확신 | MDD | 소르티노비율 📌 Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes. 📌 참고: 본 전략은 Bybit BTCUSD.P 무기한 선물 계약의 1일봉(Daily) 타임프레임에 전용으로 설계되었습니다. 다른 심볼이나 타임프레임에서는 성과가 크게 달라질 수 있습니다.
Pine Script® ストラテジー
gajagooの投稿
7
[Bybit BTCUSD.P] 7Years Backtest Results. 2,609% +Non-Repainting 📊 I. Strategy Overview: Trust Backed by Numbers The ADX Sniper v12 strategy has been rigorously tested over 7 years, from November 14, 2018 to November 8, 2025, spanning every major cycle of the Bitcoin BTCUSD.P futures market. This strategy successfully balances two often-conflicting goals: maximizing profitability while minimizing volatility, all supported by objective performance data. This strategy has been validated across all Bitcoin (BTCUSD.P) futures market cycles over a 7-year period. ■ Visual Proof: Bar Replay Simulation The chart above demonstrates actual entry and exit points captured via TradingView's Bar Replay feature. The green rectangle highlights the core profitable trading zone, showing where the strategy successfully captured sustained uptrends. This visual evidence confirms: 1) Confirmed buy/sell signals with exact execution prices (marked in red and blue) 2) No repainting or signal distortion after candle close 3) Consistent performance across multiple market cycles within the highlighted zone 💰 Core Performance Metrics: Cumulative Return : 2,609.14% (compounded growth over 7 years) Maximum Drawdown (MDD) : 6.999% (preserving over 93% of capital) Average Profit/Loss Ratio : 8.003 (industry-leading risk-reward efficiency) Total Trades : 24 (focused exclusively on high-conviction opportunities) Sortino Ratio : 11.486 (mathematically proving robustness and stability) ✅ This strategy has been validated across all Bitcoin BTCUSD.P futures market cycles over a 7-year period. 🛡️ II. Core Philosophy: Cut Losses Short, Let Profits Run Why MDD Stays Below 7% in a Volatile Market The crypto futures market typically experiences daily volatility exceeding 10%, with most strategies enduring drawdowns between 30% and 50%. In stark contrast, this strategy has never exceeded a 7% account loss over seven years. This exceptional low MDD is achieved through deliberate design mechanisms, not luck: 🎯 Entry Filtering: The 'ADX Pop-up Filter' is the core component. It enables the strategy to strictly avoid trading when market conditions indicate major reversals or consolidation phases, thereby minimizing exposure to high-risk zones. 🏛️ Capital Preservation Priority: The strategy prioritizes investor psychological stability and capital preservation over pursuing maximum potential returns. The Power of an 8.003 Profit Factor The Profit Factor measures the ratio of total profitable trades to total losing trades. It's the most critical metric for assessing risk-adjusted returns. A Profit Factor of 8.003 means that for every dollar lost, the strategy earns an average of eight dollars. This demonstrates the efficiency of a true trend-following strategy: Cutting losses quickly (averaging $177,419 USD loss per trade) Riding winners for maximum extension (averaging $1,419,920 USD profit per trade) 🎯 III. Strategy Reliability and Structural Edge The Secret of 24 Trades in 7 Years Only 24 trades over 7 years signifies that this strategy ignores 99% of market volatility and targets only the 1% of 'most certain buying cycles'. This approach eliminates the drag from excessive trading: ❌ No commission bleed ❌ No slippage erosion ❌ No psychological wear from overtrading 📈 Long-Term Trend Following: The strategy analyzes Bitcoin's long-term price cycles to capture the onset of massive trends while remaining undisturbed by short-term market noise. Non-Repainting Structure: Alignment of Reality and Simulation 🎬 Non-Repainting Proof Video Available ※↑ "If you wish, I can also show you a video as evidence of the non-repainting throughout the 7 years." ✅ Real-Time Trading Reliability: This strategy is built with a non-repainting structure, generating buy/sell signals only after each candle's closing price is confirmed. ✅ Preventing Data Exaggeration: This design ensures that backtest results do not 'repaint' or distort past performance, guaranteeing high correlation between simulated results and actual live trading environments. ✅ Live Trading Advantage: While simulations use closing prices, live trading may allow entry at more favorable prices before candle close, potentially yielding even better execution than backtest results. 📈 IV. Performance Summary (November 14, 2018 - November 8, 2025) || Metric | Value | |--------|-------| | Initial Capital | $1,000,000 | | Net Profit | +$26,091,383.74 | | Cumulative Return | +2,609.14% | | Maximum Drawdown | -6.999% | | Total Trades | 24 | | Winning Trades | 19 (79.17%) | | Losing Trades | 5 (20.83%) | | Avg Winning Trade | +$1,419,920.16 | | Avg Losing Trade | -$177,419.86 | | Profit Factor | 8.003 | | Sortino Ratio | 11.486 | | Win/Loss Ratio | 8.003 | ⚙️ Default Settings: Slippage: 0 ticks Commission: 0.333% (Bybit standard) 👥 V. Who Is This Strategy For? ✅ Long-term Bitcoin investors seeking stable, low-drawdown returns ✅ Traders tired of overtrading who prefer surgical, sniper-style precision entries ✅ Investors seeking psychological stability by avoiding large account swings ✅ Data-driven decision makers who value proven performance over marketing claims 🔒 VI. Access & Disclaimer 🔐 Access Type: Invite-Only (Protected Source Code) 💬 How to Get Access: Send a private message or leave a comment below ⚠️ Important Disclaimer: Past performance does not guarantee future results. Cryptocurrency and futures trading involve substantial risk of loss. This strategy is provided for educational and informational purposes only. Users should conduct their own research and consult with a financial advisor before making investment decisions. The author is not responsible for any financial losses incurred from using this strategy. 🏷️ VII. Tags Bitcoin |Bitcoin | BTCUSD | BTCUSD.P | Bybit | DailyChart | LongTerm | TrendFollowing | ADX | NonRepainting | Strategy | BacktestProven | SevenYears | LowDrawdown | HighProfitFactor | StableReturns | CapitalPreservation | Ichimoku | DMI | SuperTrend | TechnicalAnalysis | Volatility | RiskManagement | AutoTrading | Futures | PerpetualFutures | AlgorithmicTrading | SystematicTrading | DataDriven | InviteOnly | ProtectedScript | SnipperTrading | HighConviction | MDD | SortinoRatio 📌 Note: This strategy is designed exclusively for Bybit BTCUSD.P perpetual futures on the 1-day (daily) timeframe. Performance may vary significantly on other symbols or timeframes.
Pine Script® ストラテジー
gajagooの投稿
3