Auf geht's

Trendanalyse

Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix Introduction Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls. The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps. Core Functionality Liquidity Maxing performs three primary functions: Tracks market structure to identify when control shifts between buyers and sellers Scores potential trades using an eight-factor confluence system Manages position sizing and risk exposure dynamically based on volatility and user-defined limits The goal is selective trading when multiple conditions align, rather than frequent entries. Market Structure Engine The structure engine tracks three key events: Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend Change of Character (CHoCH): Control flips from bullish to bearish or vice versa Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity. The trade engine requires valid structure alignment before considering entries. No structure, no trade. Eight-Factor Confluence System Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system: Structure alignment with current trend RSI within healthy bands (different ranges for up and down trends) MACD momentum agreement with direction Volume above adaptive baseline Price relative to main trend EMA Session and weekend filter (configurable) Volatility expansion/contraction via ATR shifts Higher-timeframe EMA confirmation Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity. Only when structure and confluence agree does the strategy proceed to risk evaluation. Dynamic Risk Management Risk controls are implemented in multiple layers: ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1) Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress Daily and weekly risk budgets that halt new entries once thresholds are reached Correlation cooldown to prevent clustered trades in the same direction Global circuit breaker with maximum drawdown limit and emergency kill switch If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency. Market Presets The strategy includes configuration presets optimized for different market types: Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling Forex Majors: RSI bands 75/25, volume multiplier 1.5 Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3 Custom: Default values for user customization For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics. Monitoring and Dashboards The strategy includes optional monitoring layers: Risk Operations Dashboard (top-right): Trend state Confluence score ATR value Current position size percentage Global drawdown Daily and weekly risk consumption Correlation guard state Alert mode status Performance Console (top-left): Net profit Current equity Win rate percentage Average trade value Sharpe-style ratio (rolling 50-bar window) Profit factor Open trade count Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state. All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning. Alerts and Automation The strategy supports alert integration with two formats: Standard alerts: Human-readable messages for long, short, and risk-halt conditions Webhook format: JSON-formatted payloads ready for external execution systems (optional) Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines. Built-in Validation Suite The strategy includes an optional validation layer that can be enabled from inputs. It checks: Internal consistency of structure and confluence metrics Sanity and ordering of risk parameters Position sizing compliance with user-defined floors and caps This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting. Strategy Parameters Market Presets: Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom Market Structure Architecture: Pivot Length: Default 5 bars Filter by Inducement (IDM): Default enabled Visualize Structure: Default enabled Structure Lookback: Default 50 bars Risk & Capital Preservation: Risk:Reward Ratio: Default 2.0 ATR Period: Default 14 ATR Multiplier (Stop): Default 2.0 Max Drawdown Circuit Breaker: Default 10% Risk per Trade (% Equity): Default 1.5% Daily Risk Limit: Default 6% Weekly Risk Limit: Default 12% Min Position Size (% Equity): Default 0.25% Max Position Size (% Equity): Default 5% Correlation Cooldown (bars): Default 3 Emergency Kill Switch: Default disabled Signal Confluence: RSI Length: Default 14 Trend EMA: Default 200 HTF Confirmation TF: Default Daily Allow Weekend Trading: Default enabled Minimum Confluence Score (0-8): Default 6 Backtesting Considerations When backtesting this strategy, consider the following: Commission: Default 0.05% (adjustable in strategy settings) Initial Capital: Default $100,000 (adjustable) Position Sizing: Uses percentage of equity (default 2% per trade) Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes Results will vary significantly based on: Market conditions and volatility regimes Parameter settings, especially confluence threshold Risk limit configuration Symbol characteristics (crypto vs forex vs equities) Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions. How to Use This Strategy This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution. Recommended workflow: Start on 4-hour timeframe with default parameters and appropriate market preset Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance Consider ATR multiplier adjustments based on market volatility characteristics Only connect alerts or automation after thorough testing and parameter validation Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals. Strategy Limitations Designed for swing trading timeframes; may not perform optimally on very short timeframes Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments Crypto markets require different parameter tuning than traditional markets Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted Correlation cooldown may delay entries that would otherwise be valid Backtesting results depend on data quality and may not reflect live trading with slippage Design Philosophy Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask: Who is in control of the market right now? Is this move structurally significant or just noise? Do I want to add more risk given what I've already done today/week? If I'm wrong, exactly how painful can this be? The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management. Technical Implementation The strategy uses Pine Script v6 with: Custom types for structure, confluence, and risk state management Functional programming approach for reusable calculations State management through persistent variables Optional visual elements that can be toggled independently The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code. Disclaimer This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy. The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script. This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting. The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions. Enjoy - officialjackofalltrades
Pine Script® Strategie
von officialjackofalltrades
Heikin Ashi Wick Strategy 🔥 Heikin Ashi Wick Momentum Strategy “Trade momentum decay before the trend breaks. >> FOCUS ON WICKS, NOT ONLY CANDLE COLOR<< What Makes This Different (Traffic Driver) ✔ Uses Heikin Ashi wicks (almost nobody does this correctly) ✔ Captures trend continuation, not breakouts ✔ Exits before momentum collapse, not after ✔ Non-repainting ✔ Clean charts, instant readability This Strategy Is REALLY Trading This is a Heikin Ashi momentum-decay system: • Enters when trend is strong but not euphoric • Exits when: o Trend stops probing higher o Sellers gain relative strength It avoids: • Chasing strong breakout candles • Holding through momentum rollovers Candle Type Used: Heikin Ashi (manually calculated) NOTE: The script does not use regular candles. It reconstructs Heikin Ashi (HA) candles from raw OHLC: • HA Close = average of open, high, low, close • HA Open = midpoint of prior HA candle (smoothed) • HA High / Low = extremes of HA open/close vs real high/low ➡️ This filters noise and emphasizes trend structure and momentum. Strengths ✅ Works well in strong, smooth trends ✅ Very clean logic (no indicators) ✅ Non-repainting ✅ Early exits protect capital Best Use This works best on: • Daily timeframe • Strong trend ETFs / megacaps o QQQ o SPY o NVDA, MSFT, AAPL • When combined with: o EMA 21 trend filter (your preference) o Market regime filter (e.g., above 50/200 SMA) o Rising 10 EMA and 20 EMA ________________________________________ 8️⃣ Weaknesses (Important) ⚠️ No stop loss (only structure-based exits) ⚠️ Can exit too early in explosive trends ⚠️ Will chop in sideways markets ⚠️ No volatility filter (ATR, EMA, regime) How to Avoid the Weaknesses — Summary Turn the setup from a concept into a robust strategy by adding these controls: 1. Trade Only Trends o Require price above EMA-21 (optionally EMA-21 > EMA-50) o Eliminates chop and sideways markets 2. Improve Exits (Avoid Leaving Winners Too Early) o Partial exit when upper wick disappears o Full exit only when lower wick dominates o Optional: require 2 consecutive exit candles 3. Add Risk Protection o Use a volatility stop: ~1.5× ATR(14) below entry or below HA swing low o Protects against gaps and sudden reversals 4. Filter Weak Signals o Require meaningful wick size (≈30–40% of candle range) o Avoids low-quality indecision candles 5. Avoid Bad Volatility o Skip entries when ATR is expanding aggressively o Focus on calmer, controllable trends 6. Limit Time in Trade o Add a max bars hold (e.g., 10–15 bars on daily) o Prevents capital getting stuck in fading trends ⚠️ Educational use only. Not financial advice. Trading involves risk and losses can exceed expectations. Past performance does not guarantee future results. Use at your own risk.
Pine Script® Strategie
von TrendRiderPro
EMA and Dow Theory Strategies V2📘 Overview This strategy is an advanced evolution of the original EMA × Dow Theory hybrid model. V2 introduces true swing‑based trend detection, gradient trend‑zones, higher‑timeframe swing overlays, and dynamic exit logic designed for intraday to short‑term trading across crypto, forex, stocks, and indices. 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 本ストラテジーは、V1 を大幅に拡張した EMA × ダウ理論 × スイング構造 × 上位足トレンド可視化 の複合型モデルです。 短期〜デイトレード向けに最適化されており、仮想通貨・FX・株式・指数など幅広いアセットで利用できます。 V2 では、スイング構造の自動検出、グラデーションによるトレンド強度の可視化、上位足スイングライン、動的な利確/損切りロジック が追加され、視覚的にもロジック的にも大幅に強化されています。 🧠 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® Strategie
von mm_mitsuya
SMH_DualMomentum (ROC + Volume Trend)SMH Dual Momentum (ROC + Volume Confirmation) This indicator identifies high-quality bullish trends by combining price momentum (Rate of Change) with volume confirmation, and exits when momentum structurally fails. Core Logic BUY signal Rate of Change (ROC) over N periods is above a positive threshold (strong upside momentum) Current volume is above its moving average (rising market participation) SELL signal ROC crosses below zero, indicating loss of bullish momentum Why It Works ROC measures the speed and strength of price movement, filtering out weak or drifting trends Volume confirmation ensures momentum is supported by real capital flow, reducing false breakouts Momentum-based exit avoids prolonged drawdowns and capital stagnation Key Advantages Focuses on trend continuation, not prediction Filters out low-quality price moves and range-bound markets Captures long, high-conviction trends with relatively few trades Simple, robust rules using only price and volume Best Use Cases Designed for trend-driven ETFs such as SMH (Semiconductors) Suitable for swing to position trading on daily charts Works best in markets with strong sector rotation and institutional participation Notes This is a trend-following momentum tool, not a mean-reversion indicator No stop-loss is built in; risk management should be handled externally if required Parameters can be adjusted to match different timeframes or assets
Pine Script® Strategie
von yellowpierid
sullaojo 3mHere is the English translation for the alert setup instructions: **How to Set Up Alerts (After Adding the Code)** 1. Click the **Add to chart** button to apply the indicator to your graph. 2. Click the **Alarm Clock icon (Alerts)** on the top right toolbar of TradingView, or press `Alt + A`. 3. In the **Condition** field: * Select the indicator named **"MA Crossover Buy Alert..."** * Select **"แจ้งเตือนซื้อ (Buy Alert)"** to receive only buy signals. 4. In the **Trigger** (or Options) section: Select **Once per bar close**. *(This is recommended per the textbook to confirm that the closing price actually crossed the line, avoiding false signals during intraday volatility.)* 5. Check **Notify on App** (for mobile) or **Show pop-up** as desired, then click **Create**. Now, when the moving averages cross according to the textbook's conditions, the system will send you an alert immediately!
Pine Script® Strategie
von sullaojo
Heikin Ashi Color Flip StrategyManual HA calculation → no repainting ✔ Entry on first green after red ✔ Exit on first red after green ✔ process_orders_on_close = false → orders execute on next bar open ✔ Logic is clean and readable How to make it your kind of strategy (next step) Given your past preferences, the best upgrade is: • Trade only when price > EMA 21 • Or only when SPY > EMA 50 & VIX < 20 • Exit on price close below EMA 21 (your preferred rule) Consider the following to increase win rate and decrease drawdown: • Add EMA-21 exit instead of HA red • Add SPY/VIX regime filter • Give you real QQQ daily backtest metrics • Convert this into a scan/alert-only indicator Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. The signals generated by this indicator are not guaranteed to be accurate or profitable. Past performance is not indicative of future results. Trading and investing involve substantial risk, and you should perform your own analysis and consult a qualified financial professional before making any trading decisions. The author is not responsible for any financial losses incurred from the use of this indicator.
Pine Script® Strategie
von TrendRiderPro
3
Supertrend + EMA + RSI Algo (Low Risk High Accuracy)This is a trend-following + momentum confirmation strategy designed to reduce false signals and control loss. Supertrend (10,3) → Identifies overall market direction (Buy in uptrend, Sell in downtrend) EMA 50 & EMA 200 → Confirms strong trend and avoids sideways market Buy only when EMA 50 is above EMA 200 Sell only when EMA 50 is below EMA 200 RSI (14) → Confirms momentum Buy when RSI > 55 (strong bullish momentum) Sell when RSI < 45 (strong bearish momentum) --- 🔹 Entry Logic BUY: Market is in uptrend + strong momentum SELL: Market is in downtrend + strong bearish pressure --- 🔹 Risk Management (Most Important) Stop Loss: Based on ATR (adapts to volatility) Target: Fixed Risk-Reward ratio (example: 1 : 2.5) This keeps loss small and profits larger --- 🔹 Best Use Case Works best in trending markets Ideal timeframes: 15m, 1h, 4h Suitable for crypto futures & swing trading Beginner-friendly if used with low leverage
Pine Script® Strategie
von simhapavanchiru
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase. The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...). The Signal: We buy only when the price climbs a full step decisively. The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high. Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step, not from the specific price where you managed to buy. This preserves the geometric structure of the market. The Code Logic (Step-by-Step) A. The Math of the Grid (`math.floor`) pinescript level_base = math.floor(close / step_size) * step_size This is the most important line. What does it do? It rounds the price down to the nearest multiple of 3,000. Example: If BTC is at 64,500 and the step size is 3,000: 1. Divide: $64,500 / 3,000 = 21.5$ 2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$. 3. Multiply: $21 * 3,000 = 63,000$. Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999. B. The Strict Breakout (`strict_cross`) pinescript strict_cross = (open < level_base) and (close > level_base) Most strategies only check if `close > level`. We do things slightly differently: `open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900). `close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200). Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line. C. The "Expensive Price" Filter (`max_dist_pct`) pinescript limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0)) price_is_valid = close <= limit_price_entry Here you apply the percentage rule: -If the level is 63,000 and the next is 66,000 (a difference of 3,000). -If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$. -If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling. D. TP and SL Calculation (Anchored to the Level) pinescript take_profit = level_base + (step_size * tp_mult) stop_loss = level_base - (step_size * sl_mult) Note that we use `level_base` and not `close`. -If you entered because the price broke 63,000, your SL is calculated starting from 63,000. -If your SL is 1.0x, your stop will be exactly at 60,000. This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio. E. Visual Management (`var line`) The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends. Workflow Summary Strategy Parameters: Total Capital: $20,000 We will use 10% of total capital per trade. Commissions: 0.1% per trade. TP: 1.4 SL: 1 Step Size (Grid): 3,000 We use the 200 EMA as a trend filter. Feel free to experiment with the parameters to your liking. Cheers.
Pine Script® Strategie
von OldWave96
1
PMax - Asymmetric MultipliersDescription: This script is an enhanced version of the popular PMax (Profit Maximizer) indicator, originally developed by KivancOzbilgic. It has been converted into a full strategy with advanced customization options for backtesting and trend following. Key Features & Modifications: Asymmetric ATR Multipliers: Unlike the standard version, this script allows you to set different ATR multipliers for Upper (Short/Resistance) and Lower (Long/Support) bands. Default Upper: 1.5 (Tighter trailing for Short positions) Default Lower: 3.0 (Wider trailing for Long positions to avoid whipsaws) Expanded MA Types: Added HULL (HMA) and VAR (Variable Index Dynamic Average) options. VAR is highly recommended for filtering out noise in ranging markets. HULL is ideal for scalping and faster reactions. Built-in Risk Management: A fixed 5% Stop Loss mechanism is integrated into the strategy. It protects your capital by closing positions if the price moves 5% against you, even if the trend hasn't reversed yet. Visibility Fix: Solved the issue where the PMax line would disappear or start at zero in the initial bars. How to Use: Use the VAR MA type for trend following in volatile markets. Adjust the "Stop Loss Percent" input to fit your risk appetite. The strategy employs an "Always In" logic (Long/Short) but respects the hard Stop Loss. Credits: Original PMax logic by KivancOzbilgic.
Pine Script® Strategie
von algotrader06
6
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature. 1. Core Methodology & Math The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall. Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness. Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data. Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line. Long Entry: Price closes above the High Band. Short Entry: Price closes below the Low Band. 2. Signal Filtering (Confluence) To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers: Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below. ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked. Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction. 3. NEW: Intraday Session Filter Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open). How it works: Users can toggle a checkbox to enable/disable the filter. Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York). Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally. 4. Risk Management The strategy relies on volatility-based exits rather than fixed percentage stops: ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss. ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance. Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns. Credits & Attribution Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters. Strategy Wrapper & Array Refactor: Developed by @sebamarghella. Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows. Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
Pine Script® Strategie
von sebamarghella
Volatility Trend FollowerThe script combines several classic technical analysis techniques: SuperTrend / Adaptive Band - The main idea comes from the SuperTrend indicator, which uses ATR (Average True Range) to create a trailing band that adapts to volatility ATR (Average True Range) - A volatility measure developed by J. Welles Wilder Jr. EMA (Exponential Moving Average) - Used as a global trend filter Heikin Ashi - An option to smooth prices and reduce noise
Pine Script® Strategie
von Benji1302
Trend Following $BTC - Multi-Timeframe Structure + ReversTREND FOLLOWING STRATEGY - MULTI-TIMEFRAME STRUCTURE BREAKOUT SYSTEM Strategy Overview This is an enhanced Turtle Trading system designed for cryptocurrency spot trading. It combines Donchian Channel breakouts with multi-timeframe structure filtering and ATR-based dynamic risk management. The strategy trades both long and short positions using reverse signal exits to maximize trend capture. Core Features Multi-Timeframe Structure Filtering The strategy uses Swing High/Low analysis to identify market structure trends. You can customize the structure timeframe (default: 3 minutes) to match your trading style. Only enters trades aligned with the identified trend direction, avoiding counter-trend positions that often lead to losses. Reverse Signal Exit System Instead of using fixed stop-losses or time-based exits, this strategy exits positions only when a reverse entry signal triggers. This approach maximizes trend profits and reduces premature exits during normal market retracements. ATR Dynamic Pyramiding Automatically adds positions when price moves 0.5 ATR in your favor. Supports up to 2 units maximum (adjustable). This pyramid scaling enhances profitability during strong trends while maintaining disciplined risk management. Complete Risk Management Fixed position sizing at 5000 USD per unit. Includes realistic commission fees of 0.06% (Binance spot rate). Initial capital set at 10,000 USD. All backtest parameters reflect real-world trading conditions. Trading Logic Entry Conditions Long Entry: Close price breaks above the 20-period high AND structure trend is bullish (price breaks above Swing High) Short Entry: Close price breaks below the 20-period low AND structure trend is bearish (price breaks below Swing Low) Position Scaling Long positions: Add when price rises 0.5 ATR or more Short positions: Add when price falls 0.5 ATR or more Maximum 2 units including initial entry Exit Conditions Long Exit: Triggers when short entry signal appears (price breaks 20-period low + structure turns bearish) Short Exit: Triggers when long entry signal appears (price breaks 20-period high + structure turns bullish) Default Parameters Channel Settings Entry Channel Period: 20 (Donchian Channel breakout period) Exit Channel Period: 10 (reserved parameter) ATR Settings ATR Period: 20 Stop Loss ATR Multiplier: 2.0 Add Position ATR Multiplier: 0.5 Structure Filter Swing Length: 300 (Swing High/Low calculation period) Structure Timeframe: 3 minutes Adjust these based on your trading timeframe and asset volatility Position Management Maximum Units: 2 (including initial entry) Capital Per Unit: 5000 USD Visualization Features Background Colors Light Green: Bullish market structure Light Red: Bearish market structure Dark Green: Long position entry Dark Red: Short position entry Optional Display Elements (Default: OFF) Entry and exit channel lines Structure high/low reference lines ATR stop-loss indicator Next position add level Entry/exit labels Alert Message Format The strategy sends notifications with the following format: Entry: "5m Long EP:90450.50" Add Position: "15m Add Long 2/2 EP:91000.25" Exit: "5m Close Long Reverse Signal" Where the first part shows your current chart timeframe and EP indicates Entry Price Backtest Settings Capital Allocation Initial Capital: 10,000 USD Per Entry: 5,000 USD (split into 2 potential entries) Leverage: 0x (spot trading only) Trading Costs Commission: 0.06% (Binance spot VIP0 rate) Slippage: 0 (adjust based on your experience) Best Use Cases Ideal Scenarios Trending markets with clear directional movement Moderate to high volatility assets Timeframes from 1-minute to 4-hour charts Best suited for major cryptocurrencies with good liquidity Not Recommended For Highly volatile choppy/ranging markets Low liquidity small-cap coins Extreme market conditions or black swan events Usage Recommendations Timeframe Guidelines 1-5 minute charts: Use for scalping, consider Swing Length 100-160 15-30 minute charts: Good for short-term trading, Swing Length 50-100 1-4 hour charts: Suitable for swing trading, Swing Length 20-50 Optimization Tips Always backtest on historical data before live trading Adjust swing length based on asset volatility and your timeframe Different cryptocurrencies may require different parameter settings Enable visualization options initially to understand entry/exit points Monitor win rate and drawdown during backtesting Technical Details Built on Pine Script v6 No repainting - uses proper bar referencing with offset Prevents lookahead bias with lookahead=off parameter Strategy mode with accurate commission and slippage modeling Multi-timeframe security function for structure analysis Proper position state tracking to avoid duplicate signals Risk Disclaimer This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. Backtesting results may differ from live trading due to slippage, execution delays, and changing market conditions. The strategy performs best in trending markets and may experience drawdowns during ranging conditions. Always practice proper risk management and never risk more than you can afford to lose. It is recommended to paper trade first and start with small position sizes when going live. How to Use Add the strategy to your TradingView chart Select your desired timeframe (1m to 4h recommended) Adjust parameters based on your risk tolerance and trading style Review backtest results in the Strategy Tester tab Set up alerts for automated notifications Consider paper trading before risking real capital Tags Trend Following, Turtle Trading, Donchian Channel, Structure Breakout, ATR, Cryptocurrency, Spot Trading, Risk Management, Pyramiding, Multi-Timeframe Analysis --- Strategy Name: Trend Following BTC Version: v1.0 Pine Script Version: v6 Last Updated: December 2025
Pine Script® Strategie
von ssun_6
Trend Following $ZEC - Multi-Timeframe Structure Filter + Revers# Trend Following CRYPTOCAP:ZEC - Strategy Guide ## 📊 Strategy Overview Trend Following CRYPTOCAP:ZEC is an enhanced Turtle Trading system designed for cryptocurrency spot trading, combining Donchian Channel breakouts, multi-timeframe structure filtering, and ATR-based dynamic risk management for both long and short positions. --- ## 🎯 Core Features 1. Multi-Timeframe Structure Filtering - Uses Swing High/Low to identify market structure - Customizable structure timeframe (default: 1 minute) - Only enters trades in the direction of the trend, avoiding counter-trend positions 2. Reverse Signal Exit - No fixed stop-loss or fixed-period exits - Exits only when a reverse entry signal triggers - Maximizes trend profits, reduces premature exits 3. ATR Dynamic Pyramiding - Adds positions when price moves 0.5 ATR in favorable direction - Supports up to 2 units maximum (adjustable) - Pyramid scaling to enhance profitability 4. Complete Risk Management - Fixed position size (5000 USD per unit) - Commission fee 0.06% (Binance spot rate) - Initial capital 10,000 USD --- ## 📈 Trading Logic Entry Conditions ✅ Long Entry: - Close price breaks above 20-period high - Structure trend is bullish (price breaks above Swing High) ✅ Short Entry: - Close price breaks below 20-period low - Structure trend is bearish (price breaks below Swing Low) Add Position Conditions - Long: Price rises ≥ 0.5 ATR - Short: Price falls ≥ 0.5 ATR - Maximum 2 units including initial entry Exit Conditions - Long Exit: When short entry signal triggers (price breaks 20-period low + structure turns bearish) - Short Exit: When long entry signal triggers (price breaks 20-period high + structure turns bullish) --- ## ⚙️ Parameter Settings Channel Settings - Entry Channel Period: 20 (Donchian Channel breakout period) - Exit Channel Period: 10 (reserved parameter, actually uses reverse signal exit) ATR Settings - ATR Period: 20 - Stop Loss ATR Multiplier: 2.0 (reserved parameter) - Add Position ATR Multiplier: 0.5 Structure Filter - Swing Length: 160 (Swing High/Low calculation period) - Structure Timeframe: 1 minute (can change to 5/15/60, etc.) Position Management - Maximum Units: 2 (including initial entry) - Capital Per Unit: 5000 USD --- ## 🎨 Visualization Features Background Colors - Light Green: Bullish structure - Light Red: Bearish structure - Dark Green: Long entry - Dark Red: Short entry Optional Display (Default: OFF) - Entry/exit channel lines - Structure high/low lines - ATR stop-loss line - Next add position indicator - Entry/exit labels --- ## 📱 Alert Message Format Strategy sends notifications on entry/exit with the following format: - Entry: `1m Long EP:428.26` - Add Position: `15m Add Long 2/2 EP:429.50` - Exit: `1m Close Long Reverse Signal` Where: - `1m`/`15m` = Current chart timeframe - `EP` = Entry Price --- ## 💰 Backtest Settings Capital Allocation - Initial Capital: 10,000 USD - Per Entry: 5,000 USD (split into 2 entries) - Leverage: 0x (spot trading) Trading Costs - Commission: 0.06% (Binance spot VIP0) - Slippage: 0 --- ## 🎯 Use Cases ✅ Best Scenarios - Trending markets - Moderate volatility assets - 1-minute to 4-hour timeframes ⚠️ Not Suitable For - Highly volatile choppy markets - Low liquidity small-cap coins - Extreme market conditions (black swan events) --- ## 📊 Usage Recommendations Timeframe Suggestions | Timeframe | Trading Style | Suggested Parameter Adjustment | |-----------|--------------|-------------------------------| | 1-5 min | Scalping | Swing Length 100-160 | | 15-30 min | Short-term | Swing Length 50-100 | | 1-4 hour | Swing Trading | Swing Length 20-50 | Optimization Tips 1. Adjust swing length based on backtest results 2. Different coins may require different parameters 3. Recommend backtesting on 1-minute chart first before live trading 4. Enable labels to observe entry/exit points --- ## ⚠️ Risk Disclaimer 1. Past Performance Does Not Guarantee Future Results - Backtest data is for reference only - Live trading may be affected by slippage, delays, etc. 2. Market Condition Changes - Strategy performs better in trending markets - May experience frequent stops in ranging markets 3. Capital Management - Do not invest more than you can afford to lose - Recommend setting total capital stop-loss threshold 4. Commission Impact - Frequent trading accumulates commission fees - Recommend using exchange discounts (BNB fee reduction, etc.) --- ## 🔧 Troubleshooting Q: No entry signals? A: Check if structure filter is too strict, adjust swing length or timeframe Q: Too many labels displayed? A: Turn off "Show Labels" option in settings Q: Poor backtest performance? A: 1. Check if the coin is suitable for trend-following strategies 2. Adjust parameters (swing length, channel period) 3. Try different timeframes Q: How to set alerts? A: 1. Click "Alert" in top-right corner of chart 2. Condition: Select "Strategy - Trend Following CRYPTOCAP:ZEC " 3. Choose "Order filled" 4. Set notification method (Webhook/Email/App) --- ## 📞 Contact Information Strategy Name: Trend Following CRYPTOCAP:ZEC Version: v1.0 Pine Script Version: v6 Last Updated: December 2025 --- ## 📄 Copyright Notice This strategy is for educational and research purposes only. All risks of using this strategy for live trading are borne by the user. Commercial use without authorization is prohibited. --- ## 🎓 Learning Resources To understand the strategy principles in depth, recommended reading: - "The Complete TurtleTrader" - Curtis Faith - "Trend Following" - Michael Covel - TradingView Pine Script Official Documentation --- Happy Trading! Remember to manage your risk 📈
Pine Script® Strategie
von ssun_6
Mutanabby_AI | ONEUSDT_MR1 ONEUSDT Mean-Reversion Strategy | 74.68% Win Rate | 417% Net Profit This is a long-only mean-reversion strategy designed specifically for ONEUSDT on the 1-hour timeframe. The core logic identifies oversold conditions following sharp declines and enters positions when selling pressure exhausts, capturing the subsequent recovery bounce. Backtested Period: June 2019 – December 2025 (~6 years) Performance Summary | Metric | Value | |--------|-------| | Net Profit | +417.68% | | Win Rate | 74.68% | | Profit Factor | 4.019 | | Total Trades | 237 | | Sharpe Ratio | 0.364 | | Sortino Ratio | 1.917 | | Max Drawdown | 51.08% | | Avg Win | +3.14% | | Avg Loss | -2.30% | | Buy & Hold Return | -80.44% | Strategy Logic : Entry Conditions (Long Only): The strategy seeks confluence of three conditions that identify exhausted selling: 1. Prior Move Filter:*The price change from 5 bars ago to 3 bars ago must be ≥ -7% (ensures we're not entering during freefall) 2. Current Move Filter: The price change over the last 2 bars must be ≤ 0% (confirms momentum is stalling or reversing) 3. Three-Bar Decline: The price change from 5 bars ago to 3 bars ago must be ≤ -5% (confirms a significant recent drop occurred) When all three conditions align, the strategy identifies a potential reversal point where sellers are exhausted. Exit Conditions: - Primary Exit: Close above the previous bar's high while the open of the previous bar is at or below the close from 9 bars ago (profit-taking on strength) - Trailing Stop: 11x ATR trailing stop that locks in profits as price rises Risk Management - Position Sizing:Fixed position based on account equity divided by entry price - Trailing Stop:11× ATR (14-period) provides wide enough room for crypto volatility while protecting gains - Pyramiding:Up to 4 orders allowed (can scale into winning positions) - **Commission:** 0.1% per trade (realistic exchange fees included) Important Disclaimers ⚠️ This is NOT financial advice. - Past performance does not guarantee future results - Backtest results may contain look-ahead bias or curve-fitting - Real trading involves slippage, liquidity issues, and execution delays - This strategy is optimized for ONEUSDT specifically — results may differ on other pairs - Always test before risking real capital Recommended Usage - Timeframe:*1H (as designed) - Pair: ONEUSDT (Binance) - Account Size: Ensure sufficient capital to survive max drawdown Source Code Feedback Welcome I'm sharing this strategy freely for educational purposes. Please: - Drop a comment with your backtesting results any you analysis - Share any modifications that improve performance - Let me know if you spot any issues in the logic Happy trading As a quant trader, do you think this strategy will survive in live trading? Yes or No? And why? I want to hear from you guys
Pine Script® Strategie
von Mutanabby_AI
1
2 Dip/Tepe + Destek/Direnç + Tek Sinyal Stratejisi⭐ A Brief Summary of What the Strategy Does 🎯 1) Market analysis is being released (bottom-top analysis) It automatically finds pivot bottoms and pivot tops on the strategic chart. Then: If the bottoms are rising (HL – High Low): the trend is upward If the tops are falling (LH – Lower High): the trend is downward it interprets this. 🎯 2) Support and resistance lines are formed Last pivot top = resistance line Last pivot bottom = support line These lines are automatically drawn on the chart. 🎯 3) Breakout is expected according to the trend structure For LONG: The last two bottoms will be rising bottoms The price will rise above the last resistance line This gives a single LONG signal. For SHORT: The last two peaks will be falling peaks The price will fall below the support line This gives a single SHORT signal.
Pine Script® Strategie
von hayrialbayir
Trend Vector Pro v2.0Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools 🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Pine Script® Strategie
von mbedaiwi2
Advanced Breakout System v2.0Advanced Breakout System v2.0 Developed by: Mohammed Bedaiwi This script hunts for high-probability breakouts by combining price consolidation zones, volume spikes vs. average volume, smart money flow (OBV), and a Momentum Override for explosive moves that skip consolidation. Additionally, it automatically identifies and plots Support and Resistance levels with price labels to help you visualize market structure. The system follows a "Watch & Confirm" logic: it first prints a WATCH setup, then a BUY only if price confirms strength. 💡 JUSTIFICATION OF CONCEPTS (MASHUP & ORIGINALITY) This script is an original mashup combining several analytical concepts to address common breakout failures: Volatility Compression Engine: Uses built-in functions like ta.highest() and ta.lowest() to mathematically define the setup phase where price volatility is compressed below a user-defined threshold. Volume Spike Confirmation: The breakout must be confirmed by a volume increase greater than a moving average of volume, signaling strong market interest. Smart Volume Filter (OBV): This is the key component. By checking if ta.obv is above its own Moving Average, we confirm that accumulation has been occurring during the consolidation period, suggesting institutional positioning before the price break. Multi-Exit Risk System: Employs dynamic exits (EMA cross, volume dump, bearish pattern) instead of static stop-losses to manage risk adaptively based on real-time market action. Market Structure Visualization: The script also includes a Support & Resistance engine to plot key swing pivots and price labels for visual context. ✅ STRATEGY RESULTS & POLICY COMPLIANCE To ensure non-misleading and transparent backtesting results, this strategy is published with the following fully compliant properties: Dataset Compliance: The backtest is performed on the CMTL Daily (1D) chart across a long history, generating 201 total trades. This significantly exceeds the minimum requirement of 100 trades, providing a robust test dataset. Risk Control: The strategy uses a conservative order size set to 2% of equity (default_qty_value=2), strictly adhering to the sustainable risk recommendation of 5-10% of equity per trade. Transaction Costs: Realistic trading conditions are modeled using 0.07% commission and 3 ticks slippage to prevent the overestimation of profitability. ⚙️ VISUAL GUIDE & SIGNAL LOGIC Key Color Legend (Visual Guide): WATCH – Setup (Yellow Arrow Down): Potential breakout setup detected. BUY – Confirmation (Green Arrow Up): Confirmed breakout, triggered when price trades above the high of the WATCH candle. SELL – Break (Orange Arrow): Short-term trend weakness, triggered when price closes below the Fast EMA (9). SELL – Dump (Dark Red Arrow): Distribution / volume dump, triggered by a bearish candle with abnormally high volume. SELL – Pattern (Purple Arrow): Bearish price-action pattern (such as a bearish engulfing). Support & Resistance Lines (Red/Green): Small horizontal lines plotted at key swing points with exact price labels. ⌨️ INPUTS (DEFAULT SETTINGS) Entry settings: Consolidation Lookback (default 20) = bars used to detect consolidation. Consolidation Range % (default 12%) = max allowed range size. Volume Spike Multiplier (default 1.2) = factor above average volume to count as a spike. Force Signal on Big Moves (default ON) = forces a WATCH signal on high-momentum moves. Exit settings: Enable Fast Exit (EMA 9) toggles the SELL – Break signal. Dump Volume Multiplier defines what counts as “dump” volume. Support & Resistance: Adjustable Pivot Left/Right bars control the sensitivity of the support and resistance lines. ⚠️ Disclaimer Trading involves significant risk of loss. This script is for educational and informational purposes only and is not financial advice or a recommendation to buy or sell any asset. BUY and SELL signals are rule-based and derived from historical behavior and do not guarantee future performance. Always use your own analysis and risk management. This is an open-source strategy; users are encouraged to test it across different symbols and timeframes.
Pine Script® Strategie
von mbedaiwi2
MA Strategy: Dual Entry FilterConfigurable MA Dual-Filter Strategy This strategy is an enhanced and highly configurable Moving Average (MA) Crossover system designed to mitigate false signals and align trades with the prevailing market trend. It is built to offer traders granular control over entry criteria, elevating it beyond basic, built-in MA crossover indicators. Originality & Key Features The script's originality and utility lie in the combination of its two primary, optional filtering mechanics: Dual Entry Mode (Key Filter): Users can choose between two distinct methods for trade entry: Crossover (Classic): Immediate entry when the price crosses the main MA. Full Candle Confirmation (Unique Feature): This mode requires the entire candle body (open, high, low, and close) to be completely above or below the main MA after a crossover event to confirm the signal before entry. This strict confirmation helps to filter out weak crossovers, reducing whipsaws in choppy markets. Optional Trend Filter: A second, slower MA (Trend Filter MA) can be activated. Trades are only permitted when the faster main MA is aligned with the slower Trend MA (i.e., long only if main MA > Trend MA), ensuring trades are executed with the established higher-timeframe direction. How to Use the Strategy The strategy logic is built on simple MA principles but utilizes Pine Script's switch function to allow users to select from six different MA types for both the main signal and the trend filter: SMA, EMA, WMA, HMA, VWMA, and RMA. Core Logic: Signal: A cross of the price over the Main MA (filtered by the chosen Entry Mode). Directional Filter: The Trend Filter must confirm the direction (if enabled). Exit: Trades are exited on the opposite price crossover of the Main MA. Customizable Settings Include: Main MA Type & Length (Default: 40 EMA): The primary signal generator. Trend Filter MA Type & Length (Default: 70 EMA): The optional, slower trend bias. Entry Mode: Switch between Crossover or Full Candle Confirmation. Strategy Results and High-Risk Disclaimer The default setting for trade size is set to 40% of equity for backtesting demonstration purposes only. This high value is used to generate a large and diverse sample size of trades for historical review on the chart. This 40% value is NOT a recommended setting for live trading. Per TradingView guidelines, traders are strongly advised to change this input to a sustainable risk level, typically 5% to 10% of equity per trade. Past performance is not a guarantee of future results.
Pine Script® Strategie
von ravi_matrix
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring. Core Principles The strategy operates on the principle of multi-timeframe confluence, requiring agreement between: Market structure breaks (CHOCH/BOS) on a higher timeframe Dual MACD momentum confirmation (classic and crypto-tuned profiles) Trend alignment via directional EMAs Volatility and volume filters Quality score composite threshold Strategy Components Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H). Dual MACD Fusion : Requires agreement between two MACD configurations: Classic MACD: 12/26/9 (default) Fusion MACD: 8/21/5 (default, optimized for crypto volatility) Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation. Trend Alignment : Uses two EMAs for directional bias: Directional EMA: 55 periods (default) Execution Trend Guide: 34 periods (default) Both must align with trade direction. ATR Risk Management : All risk parameters are expressed in ATR multiples: Stop Loss: 1.5 × ATR (default) Take Profit: 3.0 × ATR (default) Trail Activation: 1.0 × ATR profit required (default) Trail Distance: 1.5 × ATR behind price (default) Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA. Quality Score Gate : Composite score (0-1) combining: Structure alignment (0.0-1.0) Momentum strength (0.0-1.0) Trend alignment (0.0-1.0) ATR volatility score (0.0-1.0) Volume intensity (0.0-1.0) Default threshold: 0.62. Trades only execute when quality score exceeds this threshold. Execution Discipline : Trade budgeting system: Maximum trades per session: 6 (default) Cooldown bars between entries: 5 (default) Quality Assurance Console : Real-time monitoring panel displaying: Structure status (pass/fail) Momentum confirmation (pass/fail) Volatility readiness (pass/fail) Quality score (pass/fail) Discipline compliance (pass/fail) Performance metrics (win rate, profit factor) Net PnL Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit. Integrity Suite : Optional validation panel that audits: Configuration sanity checks ATR data readiness EMA hierarchy validity Performance realism checks Strategy Settings strategy( title="ChronoPulse MS-MACD Resonance Strategy", shorttitle="ChronPulse", overlay=true, max_labels_count=500, max_lines_count=500, initial_capital=100000, currency=currency.USD, pyramiding=0, commission_type=strategy.commission.percent, commission_value=0.015, slippage=2, default_qty_type=strategy.percent_of_equity, default_qty_value=2.0, calc_on_order_fills=true, calc_on_every_tick=true, process_orders_on_close=true ) Key Input Parameters Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis Structure Pivot Left/Right : 3/3 - Pivot confirmation periods Structure Break Buffer : 0.15% - Buffer for structure break confirmation MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters Directional EMA Length : 55 - Primary trend filter Execution Trend Guide : 34 - Secondary trend filter ATR Length : 14 - ATR calculation period ATR Stop Multiplier : 1.5 - Stop loss in ATR units ATR Target Multiplier : 3.0 - Take profit in ATR units Trail Activation : 1.0 ATR - Profit required before trailing Trail Distance : 1.5 ATR - Distance behind price Volume Threshold : 1.4× - Volume surge multiplier Quality Threshold : 0.62 - Minimum quality score (0-1) Max Trades Per Session : 6 - Daily trade limit Cooldown Bars : 5 - Bars between entries Win-Rate Target : 40% - Minimum for QA certification Profit Factor Target : 1.4 - Minimum for QA certification Minimum Trades for QA : 25 - Required closed trades Signal Generation Logic A trade signal is generated when ALL of the following conditions are met: Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break Both MACD profiles agree on direction (if fusion enabled) Price is above both EMAs for longs (below for shorts) ATR data is ready and above minimum threshold Volume exceeds threshold × SMA (if volume gate enabled) Quality score ≥ quality threshold Trade budget available (under max trades per day) Cooldown period satisfied Risk Management Stop loss and take profit are set immediately on entry Trailing stop activates after 1.0 ATR of profit Trailing stop maintains 1.5 ATR distance behind highest profit point Position sizing uses 2% of equity per trade (default) No pyramiding (single position per direction) Limitations and Considerations The strategy requires sufficient historical data for higher timeframe structure analysis Quality gate may filter out many potential trades, reducing trade frequency Performance metrics are based on historical backtesting and do not guarantee future results Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker The strategy is optimized for trending markets with clear structure breaks Choppy or ranging markets may produce false signals Crypto markets may require different parameter tuning than traditional assets Optimization Notes The strategy includes several parameters that can be tuned for different market conditions: Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities. Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility Non-Repainting Guarantee All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars. Alerts Three alert conditions are available: ChronoPulse Long Setup : Fires when all long entry conditions are met ChronoPulse Short Setup : Fires when all short entry conditions are met ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design. Visual Elements Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks Directional EMA : Orange line showing trend bias Trailing Stop Lines : Green (long) and red (short) trailing stop levels Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL) QA Console : Quality assurance monitoring panel Integrity Suite Panel : Optional validation status display Recommended Usage Forward test with paper trading before live deployment Monitor the QA console until it reaches CERTIFIED status Adjust parameters based on your specific market and timeframe Respect the trade discipline limits to avoid over-trading Review quality scores and adjust threshold if needed Use appropriate commission and slippage settings for your broker Technical Implementation The strategy uses Pine Script v6 with the following key features: Multi-timeframe data requests with lookahead protection Confirmed pivot detection for structure analysis Dynamic trailing stop management Real-time quality score calculation Trade budgeting and cooldown enforcement Comprehensive dashboard and monitoring panels All source code is open and available for review and modification. Disclaimer This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
Pine Script® Strategie
von officialjackofalltrades