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ICT Entry V1 [TS_Indie]📌 Description – ICT Entry V1 This trading system is based on price action, combined with FVG, iFVG, and liquidity, and it uses the mechanism from the indicator “Smallest Swing ” to validate swings that become liquidity. ⚙️ Core Logic & Working Mechanism I won’t explain FVG in detail, as most traders are already familiar with it. Let’s focus on the mechanism of iFVG instead. The concept of iFVG is based on a supply-to-demand flip and a demand-to-supply flip within an FVG zone. For an iFVG to be confirmed, the candle close must break through the FVG. A wick alone does not count as a valid iFVG confirmation. The confirmation of market structure swings uses a pivot length mechanism combined with price action. It validates a swing by detecting a structure break formed by candles making new highs or new lows. 📈 Buy Setup 1.Liquidity sweep on the demand side, with price closing above the liquidity level. 2.A demand zone is formed as FVG and iFVG, where iFVG is located above FVG. 3.The gap between the upper box of FVG and the lower box of iFVG must be within the defined Min and Max range. 4.Market Structure must be in a Bullish trend. 5.Place a Pending Order at the upper box of FVG and set Stop Loss at the lower box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss). 📉 Sell Setup 1.Liquidity sweep on the supply side, with price closing below the liquidity level. 2.A supply zone is formed as FVG and iFVG, where iFVG is located below FVG. 3.The gap between the lower box of FVG and the upper box of iFVG must be within the defined Min and Max range. 4.Market Structure must be in a Bearish trend. 5.Place a Pending Order at the lower box of FVG and set Stop Loss at the upper box of FVG (Entry and Stop Loss can be adjusted using Entry Zone and ATR-based Stop Loss). ⚙️ Liquidity Sweep Conditions ➯ When a liquidity sweep occurs on the demand side, the system will start looking for Buy Setup conditions. ➯ When a liquidity sweep occurs on the supply side, the system will immediately switch to looking for Sell Setup conditions. ➯ The system will always prioritize the most recent liquidity sweep and search for setups based on that direction. ➯ The liquidity sweep condition will be invalidated when price closes back below (for demand sweep) or above (for supply sweep) the most recently swept liquidity level. ⭐ Pending Order Cancellation Conditions A Pending Order will be canceled under the following conditions: 1.A new Price Action signal appears on either the Buy or Sell side. 2.When Time Session is enabled, the Pending Order is canceled once price exits the selected session. 🕹 Order Management Rule When there is an active open position, the indicator restricts the creation of new Pending Orders to prevent overlapping positions. ⚠️ Disclaimer This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk, including the potential loss of capital. 🥂 Community Sharing If you find parameter settings that work well or produce strong statistical results, feel free to share them with the community so we can improve and develop this indicator together.
Pine Script®策略
由Truth_Strategy_Indie提供
2
Black-Scholes Gamma Scalping Strategy# Black-Scholes Gamma Scalping Strategy ## Overview This strategy applies options market-making principles to spot/futures trading using the Black-Scholes pricing model. It simulates the behavior of a delta-hedged straddle position, generating buy and sell signals based on how a market maker would hedge their gamma exposure. --- ## The Concept: Gamma Scalping Professional options traders who hold long straddles (long call + long put at the same strike) profit when the underlying moves significantly in either direction. Here's why: - A straddle has **positive gamma**, meaning its delta increases as price rises and decreases as price falls - To stay delta-neutral, traders must **buy after dips** and **sell after rallies** - If **realized volatility > implied volatility**, the profits from these hedging trades exceed the daily theta (time decay) cost This strategy captures that edge by: 1. Calculating theoretical Greeks using Black-Scholes 2. Monitoring when delta deviates from neutral 3. Trading to "hedge" back to neutral — buying weakness, selling strength --- ## Black-Scholes Greeks Calculated | Greek | Symbol | What It Measures | |-------|--------|------------------| | Delta | Δ | Directional exposure | | Gamma | Γ | Rate of delta change | | Vega | ν | Sensitivity to volatility | | Theta | Θ | Time decay per day | All Greeks are calculated in real-time using the standard Black-Scholes formula with configurable inputs for strike, expiration, implied volatility, and risk-free rate. --- ## Entry Signals **Long Entry** (buy the underlying): - Price drops significantly (gamma scalp trigger), OR - Straddle delta falls below the lower hedge band - Volatility filter confirms favorable regime (HV > IV) **Short Entry** (sell the underlying): - Price rises significantly (gamma scalp trigger), OR - Straddle delta rises above the upper hedge band - Volatility filter confirms favorable regime --- ## Volatility Regime Filter The strategy compares **Historical Volatility (HV)** to **Implied Volatility (IV)**: - **HV/IV > 1.2** → Long volatility regime (gamma scalping profitable) → Trading enabled - **HV/IV < 0.8** → Short volatility regime (theta wins) → Trading paused or reversed - **Between** → Neutral, proceed with caution This filter helps avoid trading when market conditions don't favor the strategy. --- ## Key Inputs **Option Parameters:** - Strike Offset % — Distance from ATM (0 = at-the-money) - Days to Expiration — Synthetic option tenor (affects gamma magnitude) - Implied Volatility — Your estimate of fair IV - Risk-Free Rate — For BS calculation **Trading Parameters:** - Gamma Scalp Threshold — ATR multiple to trigger trades - Delta Hedge Band % — How far delta must deviate to signal - Volatility Regime Filter — Enable/disable HV/IV filter **Risk Management:** - Stop Loss / Take Profit (ATR multiples) - Max Drawdown % — Pauses trading if exceeded - Max Concurrent Positions --- ## How to Use 1. **Set Implied Volatility** to match current market IV (check options chain or VIX for reference) 2. **Adjust Days to Expiration** — Shorter = higher gamma, more signals; Longer = smoother 3. **Tune the Hedge Band** — Tighter bands = more trades; Wider = fewer, larger moves 4. **Enable Volatility Filter** for trend-following vol regimes, disable for pure mean-reversion **Best suited for:** - Range-bound or choppy markets - High realized volatility environments - Liquid instruments with tight spreads **Avoid using when:** - Strong directional trends (gamma scalping loses to delta) - Volatility is collapsing - Low liquidity / wide spreads --- ## Information Table The on-chart table displays real-time: - Current strike price - Straddle Delta, Gamma, Vega, Theta - Historical vs Implied Volatility - HV/IV Ratio - Current volatility regime --- ## Alerts Built-in alert conditions for: - Long entry signals - Short entry signals - Max drawdown protection triggered --- ## Disclaimer This strategy is provided for **educational purposes only**. It demonstrates how Black-Scholes option pricing theory can be applied to generate trading signals. - Past performance does not guarantee future results - Backtest results may not reflect live trading conditions - Always use proper position sizing and risk management - Paper trade extensively before using real capital **No financial advice is given or implied.** --- ## Credits Based on the Black-Scholes-Merton option pricing model (1973) and gamma scalping techniques used by professional options market makers. --- *If you find this useful, please leave a like or comment. Suggestions for improvements are welcome!*
Pine Script®策略
由DrRRRKopp提供
1
The Blessed Trader Ph. | Double EMA + RSI (20) Strategy v1.0📊 The Blessed Trader Ph. Double EMA + RSI (20) Strategy — v1.0 1️⃣ Strategy Overview This is a trend-following breakout strategy designed to: Catch strong directional moves Filter out weak trades using momentum confirmation Control risk with ATR-based stop-loss and take-profit It works best in trending markets such as: Crypto (BTC, ETH, altcoins) Forex (major & minor pairs) Indices (NAS100, US30, SPX) 2️⃣ Indicators Used 🔹 Double EMA Channel EMA 20 High → Dynamic resistance EMA 20 Low → Dynamic support These two EMAs create a price channel: Break above → bullish strength Break below → bearish weakness Unlike a single EMA on close, using High & Low EMAs helps: Reduce fake breakouts Confirm real price expansion 🔹 RSI (20) Measures momentum strength RSI > 50 → bullish momentum RSI < 50 → bearish momentum RSI is used only as a filter, not as an overbought/oversold signal. 🔹 ATR (14) Measures market volatility Used to calculate: Stop Loss (1.5 × ATR) Take Profit (3.0 × ATR) This makes the strategy: Adaptive to any market Effective across timeframes 3️⃣ Trade Rules (Very Important) ✅ BUY (LONG) Conditions A buy trade is opened only when all conditions are met: Price closes above EMA 20 High RSI (20) is above 50 Candle is confirmed (bar close) ➡️ This means: “Price has broken resistance with strong momentum.” ❌ SELL / EXIT Conditions The long trade is closed when: Price closes below EMA 20 Low RSI (20) is below 50 ➡️ This signals: “Trend strength is weakening or reversing.” 🛑 Stop Loss & 🎯 Take Profit Stop Loss = Entry − (ATR × 1.5) Take Profit = Entry + (ATR × 3.0) Risk–Reward ≈ 1 : 2 This protects capital and lets winners run. 4️⃣ Why This Strategy Works ✔ Trades with the trend ✔ Avoids ranging markets ✔ Uses confirmation, not prediction ✔ Non-repainting (bar close only) ✔ Works on any timeframe 5️⃣ 🔥 Why Heikin Ashi Candles Improve Results What are Heikin Ashi candles? Heikin Ashi candles smooth price action by averaging price data instead of using raw OHLC values. Benefits for THIS strategy: ✅ 1. Cleaner Trend Detection Fewer false EMA breakouts Smoother closes above EMA High Stronger continuation signals ✅ 2. Reduced Whipsaws RSI stays more stable Fewer fake buy signals during consolidation ✅ 3. Better Trade Holding Keeps you in trends longer Avoids early exits caused by noise 6️⃣ How to Use Heikin Ashi with This Strategy On TradingView: Open your chart Click Candles Select Heikin Ashi Apply the strategy 📌 Important Tip EMAs & RSI will now be calculated using Heikin Ashi data This is ideal for trend-following, not scalping ranges 7️⃣ Best Settings & Recommendations ⏱ Timeframes 5m / 15m → Crypto & Forex intraday 1H / 4H → Swing trading Daily → Position trading 📈 Market Conditions Best in strong trends Avoid low-volatility ranges 🎯 Pro Tip Combine with: Higher-timeframe trend bias Session filter (London / New York) Volume confirmation 8️⃣ Final Advice from 🙏 The Blessed Trader Ph. “This strategy doesn’t predict — it confirms. Be patient. Wait for clean Heikin Ashi closes. Trade less, but trade better.”
Pine Script®策略
由Blessed_Trader22提供
[PickMyTrade] Trend strategy for LongThis strategy detects descending trend resistance using pivot-based trendlines and enters long positions when price confirms a breakout above a validated trendline. It is designed to capture bullish trend reversals with strict risk control and flexible exit management. The system focuses on structural market behavior rather than indicators, making it suitable for traders who prefer price-action-based decision making. USAGE This strategy automatically builds trendlines from confirmed pivot highs. A trendline is considered valid only when price has interacted with it a user-defined number of times, ensuring that trades are taken only from well-formed market structures. A trade is triggered when price closes above a validated descending trendline while optional session and position limits are respected. All risk and position sizing are calculated automatically based on the selected risk amount and stop-loss distance. HOW IT WORKS The strategy identifies swing highs using pivot logic and connects them into descending trendlines. Each trendline must meet a minimum number of touch confirmations before becoming eligible for trading. When price closes above a valid trendline, the strategy calculates: Stop-loss placement below the most recent pivot low Position size based on fixed monetary risk Profit targets based on the selected exit method EXIT METHODS Three exit models are supported: Risk–Reward Ratio Uses a fixed multiple of the defined risk distance to set the take-profit level. Lookback Candle Exit Exits trades when price shows structural reversal behavior based on recent candles. Fibonacci Targets Uses Fibonacci extensions derived from recent swing structure to trail profits dynamically. An optional trailing stop can also be enabled to protect open profits. FEATURES Automatic pivot-based trendline detection Multi-trendline or single-trendline operation Dynamic position sizing based on monetary risk Pivot-based stop-loss placement Multiple exit methodologies Optional trailing stop Optional trading session filter Fully visualized trendlines, stop levels, and profit targets SETTINGS Trend Detection Pivot Length for Trend Touch Number Validation Percentage Optional Pivot-to-Pivot Confirmation Risk Management Fixed Risk Amount Default Contract Size Option Stop-Loss Buffer Trailing Stop Toggle Take-Profit Exit Method Selection Risk-Reward Ratio Lookback Candle Length Fibonacci Extension Levels Session Filter Enable/Disable Session Trading Trading Session Time Window
Pine Script®策略
由PickMyTrade_Official提供
40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs. Strategy Logic Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend. Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point. Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average. Key Features Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout. Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots." Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
Pine Script®策略
由myers2115提供
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer) Overview This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable. Core idea (Percent → Tick conversion) strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss). This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes. //==What it provides==// 1. % → tick conversion for: - Fixed stop loss (loss) - Trailing activation distance (trail_points) - Trailing offset distance (trail_offset) 2. On-chart visualization: - Entry average price - Trailing activation threshold - Fixed stop-loss line - Trailing stop line (with an exit-bar alignment attempt to reduce gaps) //==How to use==// 1. Keep the included MA crossover entries, or replace them with your own entries. 2. Configure: - Fixed Stop Loss % (loss_pct) - Trailing Activation % (t_points_pct) - Trailing Offset % (t_offset_pct) 3. Adjust commission/slippage defaults to match your market. //==Important limitations (must read)==// - calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload. - Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level. - For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available). # Average Entry Price (Basis): "Calculations are based on the position's average entry price (strategy.position_avg_price)." # Pine Script v6: "Written in the latest Pine Script v6." 요약 이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다. 단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
Pine Script®策略
由surirang提供
SMAcross-mvrOverview SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting. It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging. 🚀 What’s New in v2 ✅ Multiple Entry Modes You can now choose how trades are entered: Entry Mode A: Short SMA crosses Long SMA Entry Mode B: Price crosses Long SMA This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy. ✅ Modular Exit System (Checkbox-Based) Exit logic is now fully modular using independent checkboxes: ☑ Exit on opposite signal ☑ Exit when price closes beyond Short SMA You may enable one, both, or neither. If both are enabled, the strategy exits on whichever condition occurs first. ✅ Terminology Clarity All labels, inputs, and alerts now use semantic naming: Short SMA (formerly 13 SMA) Long SMA (formerly 30 SMA) This makes the strategy easier to understand and future-proof if SMA lengths are changed. ✅ Full-Capital Position Sizing Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests. ✅ Optional Visual Enhancements Optional cross price labels (can be toggled on/off) Color-filled zone between Short and Long SMAs for quick trend recognition Optional 200 SMA (off by default) for higher-timeframe context ✅ Alert-Ready (TV-Safe) All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for: Manual trade notifications Webhook-based automation Broker integrations 🔒 Design Principles No repainting No line continuations (TradingView-safe formatting) Stable behavior when zooming or scrolling Clear separation of entry logic, exit logic, and visuals ⚠️ Notes This script is intended for educational and research purposes. Always forward-test and apply proper risk management before live trading.
Pine Script®策略
由vmedaram1提供
6
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime. The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes. In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78. Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis, 1. The "60 Floor" (Support) Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage. Historical Behavior (2021-2022 Context): July 2021: After the May crash, ETHDVOL compressed down and found support at ~65. Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800). Outcome: Strong Buy Signal (Trend Continuation). January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000. Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200. Outcome: Trap / Warning Signal. The Pattern: When Volatility hits 60 (Support), price is usually Coiling. If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards. If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards. 2. The "78 Ceiling" (Resistance) Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top). Historical Behavior: May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+. Price Action: Price collapsed from $4,000 to $1,700. Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood). November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80. Price Action: ETH hit $1,100 (Cycle Lows). Signal: Hitting 78 marked the Absolute Bottom. November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70). Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Pine Script®策略
由chart_inator提供
Seasonal Strategies V1Seasonal Strategies V1 is a rule-based futures seasonality framework built around predefined calendar windows per asset. The strategy automatically detects the current symbol and activates long or short trading phases strictly based on historically observed seasonal tendencies. All entries and exits are fully time-based — no indicators, no predictions, no discretionary input. Key Features Asset-specific seasonal windows (MMDD-based) Automatic long and short activation Fully time-based entries and exits One position at a time (no pyramiding) Clean chart visualization using subtle background shading No indicators, no filters, no curve fitting Philosophy: This strategy is designed as a structural trading tool, not a forecasting model. It focuses on when a market historically shows seasonal tendencies — not why or how far price might move. Seasonal Strategies V1 intentionally keeps the chart clean and minimal, making it suitable as a baseline framework for research, portfolio-style seasonal approaches, or further extensions in later versions. Intended Use: Futures and commodity markets Seasonality research and testing Systematic, calendar-driven strategies Educational and analytical purposes Disclaimer This script is provided for educational and research purposes only. Past seasonal tendencies do not guarantee future performance. Risk management, position sizing, and portfolio decisions are the responsibility of the user.
Pine Script®策略
由DerAndi72提供
EMA and Dow Theory Strategies V2 DOGE Current Optimum Value 📘 Overview These are the current optimal values for DOGE. They are intended for use on the 2‑hour timeframe. This script requires complex configuration, but there is an optimal set of values somewhere. Here, I’m sharing the settings that I personally use at the moment. Turning Take Profit off can lead to higher profits, but it also increases risks such as a lower win rate. With Take Profit on, you can adjust the settings by increasing the values. I have been trading using Dow Theory for many years. Trading with Dow Theory and EMA has been my main strategy. Although it has been profitable, I have long struggled with its low win rate. The issue lies in the immaturity of the exit strategy, and I’m currently experimenting to see if I can solve that. In V2, I added three take‑profit lines, securing 30% of the profit at each level to ensure a minimum level of gain. Additionally, when the trend weakens, half of the position is closed. In all scenarios, the remaining position is held until the trend reverses. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 DOGEの現在の最適値です。 2時間足での使用を想定しています。 このスクリプトは複雑な設定が必要ですが、どこかに最適値が存在します。 今回は現在私が個人的に使っている設定値の公開です。 Take ProfitをOFFにするとさらなる利益が望めますが、勝率が下がるなどのリスクが上がります。 ONにした状態で数値を上げることによって調整することが可能です。 私はダウ理論を使ったトレードを長年続けてきました。 ダウ理論とEMAを使ったトレードが私の主力です。 しかし利益は出るものの、長年その勝率の低さに悩んでいました。 問題は出口戦略が未熟なためで、現在はそれらの解決ができないかと試行錯誤を続けています。 V2では3本の利益確定ラインを引き、それぞれ30%ずつ利益を確定し、最低限の利益がでるようにしました。 それ以外にはトレンドが弱まったタイミングで半分の利益確定をし、どのパターンでも残ったポジションはトレンド転換まで持ち続けます。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
Pine Script®策略
由mm_mitsuya提供
3