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DRACO TOMAS EMA Trend Follower🐉 DRACO TOMAS EMA Trend Follower Description: The DRACO TOMAS EMA Trend Follower is a simple yet powerful trend-following strategy designed to capture directional moves based on exponential moving average (EMA) crossovers. It automatically detects trend changes and manages positions dynamically. Core Logic: The strategy uses two EMAs — a Fast EMA (default 12) and a Slow EMA (default 21) — to identify the market trend. When the Fast EMA crosses above the Slow EMA, the strategy opens a long position, signaling bullish momentum. When the Fast EMA crosses below the Slow EMA, the strategy opens a short position, signaling bearish momentum. The color of the EMAs changes dynamically: green for uptrends, red for downtrends. Exit rules: Longs are closed when the EMAs turn red (trend reversal to bearish). Shorts are closed when the EMAs turn green (trend reversal to bullish). Position Sizing: The system uses 10% of equity per trade by default, allowing flexible risk management and compounding. Purpose: Designed for traders who want a clean and efficient EMA crossover system to follow trends automatically on any timeframe or asset. Best Used For: Swing trading and trend confirmation Identifying major directional shifts Testing EMA-based momentum systems
Pine Script® Strategie
von tomasgudanavicius
1
Serenity Model VIPI — by yuu_iuHere’s a concise, practical English guide for Serenity Model VIPI (Author: yuu_iu). It covers what it is, how to set it up for daily trading, how to tune it, and how we guarantee non-repainting. Serenity Model VIPI — User Guide (Daily Close, Non‑Repainting) Credits - Author: yuu_iu - Producer: yuu_iu - Platform: TradingView (Pine Script v5) 1) What it is Serenity Model VIPI is a multi‑module, context‑aware trading model that fuses signals from: - Entry modules: VCP, Flow, Momentum, Mean Reversion, Breakout - Exit/risk modules: Contrarian, Breakout Sell, Volume Delta Sell, Peak Detector, Overbought Exit, Profit‑Take - Context/memory: Learns per Ticker/Sector/Market Regime and adjusts weights/aggression - Learning engine: Runs short “fake trades” to learn safely before scaling real trades It produces a weighted, context‑adjusted score and a final decision: BUY, SELL, TAKE_PROFIT, or WAIT. 2) How it works (high level) - Each module computes a score per bar. - A fusion layer combines module scores using accuracy and base weights, then adjusts by: - Market regime (Bull/Bear/Sideways) and optional higher‑timeframe (HTF) bias - Risk control neuron - Context memory (ticker/sector/regime) - Optional LLM mode can override marginal cases if context supports it. - Final decision is taken at bar close only (no intrabar repaint). 3) Non‑repainting guarantee (Daily) - Close‑only execution: All key actions use barstate.isconfirmed, so signals/entries/exits only finalize after the daily candle closes. - No lookahead on HTF data: request.security() reads prior‑bar values (series ) for HTF close/EMA/RSI. - Alerts at bar close: Alerts are fired once per bar close to prevent mid‑bar changes. What this means: Once the daily bar closes, the decision and alert won’t be repainted. 4) Setup (TradingView) - Paste the Pine v5 code into Pine Editor, click Add to chart. - Timeframe: 1D (Daily). - Optional: enable a date window for training/backtest - Enable Custom Date Filter: ON - Set Start Date / End Date - Create alert (non‑repainting) - Condition: AI TRADE Signal - Options: Once Per Bar Close - Webhook (optional): Paste your URL into “System Webhook URL (for AI events)” - Watch the UI - On‑chart markers: AI BUY / AI SELL / AI TAKE PROFIT - Right‑side table: Trades, Win Rate, Avg Profit, module accuracies, memory source, HTF trend, etc. - “AI Thoughts” label: brief reasoning and debug lines. 5) Daily trading workflow - The model evaluates at daily close and may: - Enter long (BUY) when buy votes + total score exceed thresholds, after context/risk checks - Exit via trailing stop, hard stop, TAKE_PROFIT, or SELL decision - Learning mode: - Triggers short “fake trades” every N bars (default 3) and measures outcome after 5 bars - Improves module accuracies and adjusts aggression once stable (min fake win% threshold) - Memory application: - When you change tickers, the model tries to apply Ticker or Sector memory for the current market regime to pre‑bias module weights/aggression. 6) Tuning (what to adjust and why) Core controls - Base Aggression Level (default 1.0): Higher = more trades and stronger decisions; start conservative on Daily (1.0–1.2). - Learning Speed Multiplier (default 3): Faster adaptation after fake/real trades; too high can overreact. - Min Fake Win Rate to Exit Learning (%) (default 10–20%): Raises the bar before trusting more real trades. - Fake Trade Every N Bars (default 3): Frequency of learning attempts. - Learning Threshold Win Rate (default 0.4): Governs when the learner should keep learning. - Hard Stop Loss (%) (default 5–8%): Global emergency stop. Multi‑Timeframe (MTF) - Enable Multi‑Timeframe Confirmation: ON (recommended for Daily) - HTF Trend Source: HOSE:VNINDEX for VN equities (or CURRENT_SYMBOL if you prefer) - HTF Timeframe: D or 240 (for a strong bias) - MTF Weight Adjustment: 0.2–0.4 (0.3 default is balanced) Module toggles and base weights - In strong uptrends: increase VCP, Momentum, Breakout (0.2–0.3 typical) - In sideways low‑vol regimes: raise MeanRev (0.2–0.3) - For exits/defense: Contrarian, Peak, Overbought Exit, Profit‑Take (0.1–0.2 each) - Keep Flow on as a volume‑quality filter (≈0.2) Memory and control - Enable Shared Memory Across Tickers: ON to share learning - Enable Sector‑Based Knowledge Transfer: ON to inherit sector tendencies - Manual Reset Learning: Use sparingly to reset module accuracies if regime changes drastically Risk management - Hard Stop Loss (%): 5–8% typical on Daily - Trailing Stop: ATR‑ and volatility‑adaptive; tightens faster in Bear/High‑Vol regimes - Max hold bars: Shorter in Bear or Sideways High‑Vol to cut risk Alerts and webhook - Use AI TRADE Signal with Once Per Bar Close - Webhook payload is JSON, including event type, symbol, time, win rates, equity, aggression, etc. 7) Recommended Daily preset (VN equities) - MTF: Enable, Source: HOSE:VNINDEX, TF: D, Weight Adj: 0.3 - Aggression: 1.1 - Learning Speed: 3 - Min Fake Win Rate to Exit Learning: 15% - Hard SL: 6% - Base Weights: - VCP 0.25, Momentum 0.25, Breakout 0.15, Flow 0.20 - MeanRev 0.20 (raise in sideways) - Contrarian/Peak/Overbought/Profit‑Take: 0.10–0.20 - Leave other defaults as is, then fine‑tune by symbol/sector. 8) Reading the UI - Table highlights: Real Trades, Win Rate, Avg Profit, Fake Actions/Win%, VCP Acc, Aggression, Equity, Score, Status (LEARNING/TRADING/REFLECTION), Last Real, Consec Loss, Best/Worst Trade, Pattern Score, Memory Source, Current Sector, AI Health, HTF Trend, Scheduler, Memory Loaded, Fake Active. - Shapes: AI BUY (below bar), AI SELL/TAKE PROFIT (above bar) - “AI Thoughts”: module contributions, context notes, debug lines 9) Troubleshooting - No trades? - Ensure timeframe is 1D and the date filter covers the chart range - Check Scheduler Cooldown (3 bars default) and that barstate.isconfirmed (only at close) - If MTF is ON and HTF is bearish, buy bias is reduced; relax MTF Weight Adjustment or module weights - Too many/too few trades? - Lower/raise Base Aggression Level - Adjust base weights on key modules (raise entry modules to be more active; raise exit/defense modules to be more selective) - Learning doesn’t end? - Increase Min Fake Win Rate to Exit Learning only after it’s consistently stable; otherwise lower it or reduce Fake Trade Every N Bars 10) Important notes - The strategy is non‑repainting at bar close by design (confirmed bars + HTF series + close‑only alerts). - Backtest fills may differ from live fills due to slippage and broker rules; this is normal for all TradingView strategies. - Always validate settings across multiple symbols and regimes before going live. If you want, I can bundle this guide into a README section in your Pine code and add a small on‑chart signature (Author/Producer: yuu_iu) in the top‑right corner.
Pine Script® Strategie
von Thach999
1
saodisengxiaoyu-lianghua-2.1- This indicator is a modular, signal-building framework designed to generate long and short signals by combining a chosen leading indicator with selectable confirmation filters. It runs on Pine Script version 5, overlays directly on price, and is built to be highly configurable so traders can tailor the signal logic to their market, timeframe, and trading style. It includes a dashboard to visualize which conditions are active and whether they validate a signal, and it outputs clear buy/sell labels and alert conditions so you can automate or monitor trades with confidence. Core Design - Leading Indicator: You choose one primary signal generator from a broad list (for example, Range Filter, Supertrend, MACD, RSI, Ichimoku, and many others). This serves as the anchor of the system and determines when a preliminary long or short setup exists. - Confirmation Filters: You can enable additional filters that validate the leading signal before it becomes actionable. Each “respect…” input toggles a filter on or off. These filters include popular tools like EMA, 2/3 EMA crosses, RQK (Nadaraya Watson), ADX/DMI, Bollinger-based oscillators, MACD variations, QQE, Hull, VWAP, Choppiness Index, Damiani Volatility, and more. - Signal Expiry: To avoid waiting indefinitely for confirmations, the indicator counts how many consecutive bars the leading condition holds. If confirmations do not align within a defined number of bars, the setup expires. This controls latency and helps reduce late or stale entries. - Alternating Signals: An optional mode enforces alternation (long must follow short and vice versa), helping avoid repeated entries in the same direction without a meaningful reset. - Aggregation Logic: The final long/short conditions are formed by combining the leading condition with all selected confirmation filters through logical conjunction. Only if all enabled filters validate the signal (within expiry constraints) does the indicator consider it a confirmed long or short. - Visualization and Alerts: The script plots buy/sell labels at signal points, provides alert conditions for automation, and displays a compact dashboard summarizing the leading indicator’s status and each confirmation’s pass/fail result using checkmarks. Leading Indicator Options - The indicator includes a very large menu of leading tools, each with its own logic to determine uptrend or downtrend impulses. Highlights include: - Range Filter: Uses a dynamic centerline and bands computed via conditional EMA/SMA and range sizing to define directional movement. It can operate in a default mode or an alternative “DW” mode. - Rational Quadratic Kernel (RQK): Applies a kernel smoothing model (Nadaraya Watson) to detect uptrends and downtrends with a focus on noise reduction. - Supertrend, Half Trend, SSL Channel: Classic trend-following tools that derive direction from ATR-based bands or moving average channels. - Ichimoku Cloud and SuperIchi: Multi-component systems validating trend via cloud position, conversion/base line relationships, projected cloud, and lagging span. - TSI (True Strength Index), DPO (Detrended Price Oscillator), AO (Awesome Oscillator), MACD, STC (Schaff Trend Cycle), QQE Mod: Momentum and cycle tools that parse direction from crossovers, zero-line behavior, and momentum shifts. - Donchian Trend Ribbon, Chandelier Exit: Trend and exit tools that can validate breakouts or sustained trend strength. - ADX/DMI: Measures trend strength and directional movement via +DI/-DI relationships and minimum ADX thresholds. - RSI and Stochastic: Use crossovers, level exits, or threshold filters to gate entries based on overbought/oversold dynamics or relative strength trends. - Vortex, Chaikin Money Flow, VWAP, Bull Bear Power, ROC, Wolfpack Id, Hull Suite: A diverse set of directional, momentum, and volume-based indicators to suit different markets and styles. - Trendline Breakout and Range Detector: Price-behavior filters that confirm signals during breakouts or within defined ranges. Confirmation Filters - Each filter is optional. When enabled, it must validate the leading condition for a signal to pass. Examples: - EMA Filter: Requires price to be above a specified EMA for longs and below for shorts, filtering signals that contradict broader trend or baseline levels. - 2 EMA Cross and 3 EMA Cross: Enforce moving average cross conditions (fast above slow for long, the reverse for short) or a three-line stacking logic for more stringent trend alignment. - RQK, Supertrend, Half Trend, Donchian, QQE, Hull, MACD (crossover vs. zero-line), AO (zero line or AC momentum variants), SSL: Each adds its characteristic validation pattern. - RSI family (MA cross, exits OB/OS zones, threshold levels) plus RSI MA direction and RSI/RSI MA limits: Multiple ways to constrain signals via relative strength behavior and trajectories. - Choppiness Index and Damiani Volatility: Prevent entries during ranging conditions or insufficient volatility; choppiness thresholds and volatility states gate the trade. - VWAP, Volume modes (above MA, simple up/down, delta), Chaikin Money Flow: Volume and flow conditions that ensure signals happen in supportive liquidity or accumulation/distribution contexts. - ADX/DMI thresholds: Demand a minimum trend strength and directional DI alignment to reduce whipsaw trades. - Trendline Breakout and Range Detector: Confirm that the price is breaking structure or remains within active range consistent with the leading setup. - By combining several filters you can create strict, conservative entries or looser setups depending on your goals. Range Filter Engine - A core building block, the Range Filter uses conditional EMA and SMA functions to compute adaptive bands around a dynamic centerline. It supports two types: - Type 1: The centerline updates when price exceeds the band thresholds; bands define acceptable drift ranges. - Type 2: Uses quantized steps (via floor operations) relative to the previous centerline to handle larger moves in discrete increments. - The engine offers smoothing for range values using a secondary EMA and can switch between raw and averaged outputs. Its hi/lo bands and centerline compose a corridor that defines directional movement and potential breakout confirmation. Signal Construction - The script computes: - leadinglongcond and leadingshortcond : The primary directional signals from the chosen leading indicator. - longCond and shortCond : Final signals formed by combining the leading conditions with all enabled confirmations. Each confirmation contributes a boolean gate. If a filter is disabled, it contributes a neutral pass-through, keeping the logic intact without enforcing that condition. - Expiry Logic: The code counts consecutive bars where the leading condition remains true. If confirmations do not line up within the user-defined “Signal Expiry Candle Count,” the setup is abandoned and the signal does not trigger. - Alternation: An optional state ensures that long and short signals alternate. This can reduce repeated entries in the same direction without a clear reset. - Finally, longCondition and shortCondition represent the actionable signals after expiry and alternation logic. These drive the label plotting and alert conditions. Visualization - Buy and Sell Labels: When longCondition or shortCondition confirm, the script plots annotated labels directly on the chart, making entries easy to see at a glance. The labels use color coding and clear text tags (“long” vs. “short”). - Dashboard: A table summarizes the status of the leading indicator and all confirmations. Each row shows the indicator label and whether it passed (✔️) or failed (❌) on the current bar. This intensely practical UI helps you diagnose why a signal did or did not trigger, empowering faster strategy iteration and parameter tuning. - Failed Confirmation Markers: If a setup expires (count exceeds the limit) and confirmations failed to align, the script can mark the chart with a small label and provide a tooltip listing which confirmations did not pass. It’s a helpful audit trail to understand missed trades or prevent “chasing” invalid signals. - Data Window Values: The script outputs signal states to the data window, which can be useful for debugging or building composite conditions in multi-indicator templates. Inputs and Parameters - You control the indicator from a comprehensive input panel: - Setup: Signal expiry count, whether to enforce alternating signals, and whether to display labels and the dashboard (including position and size). - Leading Indicator: Choose the primary signal generator from the large list. - Per-Filter Toggles: For each confirmation, a respect... toggle enables or disables it. Many include sub-options (like MACD type, Stochastic mode, RSI mode, ADX variants, thresholds for choppiness/volatility, etc.) to fine-tune behavior. - Range Filter Settings: Choose type and behavior; select default vs. DW mode and smoothing. The underlying functions adjust band sizes using ATR, average change, standard deviation, or user-defined scales. - Because everything is customizable, you can adapt the indicator to different assets, volatility regimes, and timeframes. Alerts and Automation - The script defines alert conditions tied to longCondition and shortCondition . You can set these alerts in your chart to trigger notifications or webhook calls for automated execution in external bots. The alert text is simple, and you can configure your own message template when creating alerts in the chart, including JSON payloads for algorithmic integration. Typical Workflow - Select a Leading Indicator aligned with your style. For trend following, Supertrend or SSL may be appropriate; for momentum, MACD or TSI; for range/trend-change detection, Range Filter, RQK, or Donchian. - Add a few key Confirmation Filters that complement the leading signal. For example: - Pair Supertrend with EMA Filter and RSI MA Direction to ensure trend alignment and positive momentum. - Combine MACD Crossover with ADX/DMI and Volume Above MA to avoid signals in low-trend or low-liquidity conditions. - Use RQK with Choppiness Index and Damiani Volatility to only act when the market is trending and volatile enough. - Set a sensible Signal Expiry Candle Count. Shorter expiry keeps entries timely and reduces lag; longer expiry captures setups that mature slowly. - Observe the Dashboard during live markets to see which filters pass or fail, then iterate. Tighten or loosen thresholds and filter combinations as needed. - For automation, turn on alerts for the final conditions and use webhook payloads to notify your trading robot. Strengths and Practical Notes - Flexibility: The indicator is a toolkit rather than a single rigid model. It lets you test different combinations rapidly and visualize outcomes immediately. - Clarity: Labels, dashboard, and failed-confirmation markers make it easy to audit behavior and refine settings without digging into code. - Robustness: The expiry and alternation options add discipline, avoiding the temptation to enter late or repeatedly in one direction without a reset. - Modular Design: The logical gates (“respect…”) make the behavior transparent: if a filter is on, it must pass; if it’s off, the signal ignores it. This keeps reasoning clean. - Avoiding Overfitting: Because you can stack many filters, it’s tempting to over-constrain signals. Start simple (one leading indicator and one or two confirmations). Add complexity only if it demonstrably improves your edge across varied market regimes. Limitations and Recommendations - No single configuration is universally optimal. Markets change; tune filters for the instrument and timeframe you trade and revisit settings periodically. - Trend filters can underperform in choppy markets; likewise, momentum filters can false-trigger in quiet periods. Consider using Choppiness Index or Damiani to gate signals by regime. - Use expiry wisely. Too short may miss good setups that need a few bars to confirm; too long may cause late entries. Balance responsiveness and accuracy. - Always consider risk management externally (position sizing, stops, profit targets). The indicator focuses on signal quality; combining it with robust trade management methods will improve results. Example Configurations - Trend-Following Setup: - Leading: Supertrend uptrend for longs and downtrend for shorts. - Confirmations: EMA Filter (price above 200 EMA for long, below for short), ADX/DMI (trend strength above threshold with +DI/-DI alignment), Volume Above MA. - Expiry: 3–4 bars to keep entries timely. - Result: Strong bias toward sustained moves while avoiding weak trends and thin liquidity. - Mean-Reversion to Momentum Crossover: - Leading: RSI exits from OB/OS zones (e.g., RSI leaves oversold for long and leaves overbought for short). - Confirmations: 2 EMA Cross (fast crossing slow in the same direction), MACD zero-line behavior for added momentum validation. - Expiry: 2–3 bars for responsive re-entry. - Result: Captures momentum transitions after short-term extremes, with extra confirmation to reduce head-fakes. - Range Breakout Focus: - Leading: Range Filter Type 2 or Donchian Trend Ribbon to detect breakouts. - Confirmations: Damiani Volatility (avoid low-volatility false breaks), Choppiness Index (prefer trend-ready states), ROC positive/negative threshold. - Expiry: 1–3 bars to act on breakout windows. - Result: Better alignment to breakout dynamics, gating trades by volatility and regime. Conclusion - This indicator is a comprehensive, configurable framework that merges a chosen leading signal with an array of corroborating filters, disciplined expiry handling, and intuitive visualization. It’s designed to help you build high-quality entry signals tailored to your approach, whether that’s trend-following, breakout trading, momentum capturing, or a hybrid. By surfacing pass/fail states in a dashboard and allowing alert-based automation, it bridges the gap between discretionary analysis and systematic execution. With sensible parameter tuning and thoughtful filter selection, it can serve as a robust backbone for signal generation across diverse instruments and timeframes.
Pine Script® Strategie
von saodisengSeven
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy Description: This strategy is designed for precision trading in both Forex (FX) and Crypto markets. It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management. ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach. Optimal Use Works best on lower timeframes (5m–15m) with strong liquidity sessions. Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT. Built for trend-following setups and momentum reversals with high volatility confirmation. Recommended Settings 🔹 Forex – 5m EMA Fast = 34, EMA Slow = 200, HTF = 1H RSI (14): Long ≥ 55 / Short ≤ 45 MACD (8 / 21 / 5), ADX Len 10 / Min 27 ATR Len 7, Stop Loss = ATR × 2.1 TP1 = 1.1 RR, TP2 = 2.3 RR Session = 07:00–11:00 & 12:30–16:00 (Exchange Time) Risk = 0.8% per trade 🔹 Forex – 15m EMA Fast = 50, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 53 / Short ≤ 47 MACD (12 / 26 / 9), ADX Min 24 ATR Len 10, SL = ATR × 1.9 TP1 = 1.2 RR, TP2 = 2.6 RR Risk = 1.0% per trade 🔹 Crypto – 5m (BTC/USDT) EMA Fast = 34, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 56 / Short ≤ 44 MACD (8 / 21 / 5), ADX Min 30 ATR Len 7, SL = ATR × 2.2 TP1 = 1.0 RR, TP2 = 2.5 RR Session = 00:00–06:00 & 12:00–22:00 (UTC) Risk = 0.5% per trade Core Features ✅ Auto breakeven after TP1 ✅ Dual take-profit system (1:1 & 1:2 RR) ✅ ATR-based stop & trailing logic ✅ Filters for session time, volume, and volatility ✅ Candle-body vs ATR size filter to avoid noise ✅ Optional cooldown between trades Important Notes Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes. Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results. Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto). Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures). Best results occur during London & New York sessions with moderate volatility. ⚠️ Disclaimer This script is for educational and research purposes only. It does not constitute financial advice. Use proper risk management and test thoroughly before using on live accounts. Developed by KING FX Labs Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management. Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown. 📈 “Precision Trading. Zero Emotion. Pure Momentum.”
Pine Script® Strategie
von ALMASTO-TRADING-SYSTEM
my_strategy_2.0Overview: This is a high-speed scalping strategy optimized for volatile crypto assets (BTC, ETH, etc.) on timeframes 1m–5m. It combines trend-following SuperTrend with confirmations from MACD, RSI, Bollinger Bands, and volume spikes for precise entries. Focus on quick profits (1–3 ATR) with strict risk control: partial take-profits, stop-loss, and trailing breakeven after the first TP. Key Signals: Long: SuperTrend flip up + MACD crossover up + RSI >50 + BB Upper breakout + volume spike + volatility filter (ATR >0.5%). Short: Similar but downward. Exits and Risks: TP: 33% at +1 ATR, 33% at +2 ATR, 34% at +3 ATR (customizable). SL: Initial at -1 ATR, after TP1 — to breakeven with trailing on BB midline (optional). Filters: Minimum ATR to avoid flat markets; realistic commissions in backtests. Recommendations: Test on 2020–2025 data (out-of-sample 2024+). Expected Win Rate ~55%, Profit Factor >1.8, Drawdown <10%. Ideal for 1–2% risk per trade. Not for beginners — use paper trading. Disclaimer: Past results do not guarantee future performance. Trade at your own risk. (Pine v6 code, ready for publication. Author: gopog777 with expert fixes.)
Pine Script® Strategie
von gopog777
1
三均線中頻策略 v3.0 - R=2.5 + 進場點點標記📌 Core Strategy Concept This is a medium-frequency trend-following model that utilizes three Simple Moving Averages to determine bullish or bearish alignment. It then enters trades in the direction of the trend when price confirms a breakout and applies a fixed risk-to-reward ratio (R). Stop loss and take profit levels are dynamically calculated based on moving averages, ensuring clear risk control and systematic execution. ✅ Strategy Advantages 📏 Clear Rules Trade conditions based on triple SMA alignment and price breakout; easy to replicate. 🛡 Defined Risk Stop loss and take profit are calculated based on moving averages with a fixed R ratio, ensuring disciplined risk management. ⚖️ Balanced Frequency Medium trade frequency avoids overtrading while still capturing sufficient opportunities. 👁 Visual Markers Entry points are visually marked on the chart for easy backtesting and live tracking.
Pine Script® Strategie
von natwad3000
KDJ – Long Only v3.0 (TradingView Strategy) Overview｜概覽 EN A research strategy that automates long-only entries using a KDJ-centric core with multi-layer confirmations and volatility-aware exits. Default preset targets ETH 5m; other symbols/timeframes can be tuned. 中文 研究用策略，透過 KDJ 核心與多層確認來自動化只做多進場，並以隨波動調整的出場邏輯運作。預設為 ETH 5 分鐘；其他商品/週期可自行調參。 Backtest (hypothetical) example: ETHUSDT.P, 5m, 2024-09-18→2025-09-18, fee 0.05%, slippage 1 tick.（僅示意，屬假設性回測） What it does｜做什麼 EN Signals are organized into channels: A KDJ trend core B OB/FVG touch pullback CP Double-bottom (buffered neckline) SR Support/Resistance bounce with rejection/zone checks D EMA pullback (long EMA length) E VWAP reclaim (lower-band pierce & recapture) F Prior-low sweep & reclaim 中文 訊號分成多通道： A KDJ 順勢核心 B OB/FVG 回踩觸價 CP 雙底（頸線含緩衝） SR 支撐/阻力觸價不破（含拒絕與區域檢查） D EMA 回踩（長週期 EMA） E VWAP 收復（下緣穿越後收回） F 前低掃回 High-level logic｜高層級原理 HTF/Mid-TF context：內建 5/15/1H 或 15/60/4H 組合；以簡化趨勢線/區域提供觸價參考 Trend & structure：本階 EMA(8/21/200) 結構；Structure Breakout（近期高低點 ±ATR 緩衝）／EMA8/21 回踩 Momentum/volume：MACD、KDJ 金叉與低區偵測、量能驗證 Regime：ADX 閘（趨勢/盤整門檻）、EMA 帶寬過濾震盪、Peak Guard 避免過度延伸 No look-ahead：入場不使用前視；樞紐/趨勢線僅作情境參考 Inputs & Features｜參數與功能 Market Preset：Generic / ETH（ETH 預設收緊若干門檻，開箱即用） Entry Mode：KDJ_Core / CandleOnly / KDJ_and_Candle Session Filter：最多三段交易時窗 Lite Filters：過度延伸、實體大小、DI 差距 S/R 模組：拒絕條件、KDJ 覆核、區域要求、即時 R:R 檢核 OrderBlock/FVG：近棒位移掃描 Chart Pattern：雙底 W，ATR 容差與頸線緩衝 Plotting：EMA200、通道字母標記、可選 TP/SL 標籤 Automation via Alerts（generic）｜快訊自動化（通用） EN On entries/exits the strategy emits JSON through alert_message. Create alerts with “Any alert() function call” and route them to your own webhook/bridge. Symbol mapping, sizing mode, and user info are configurable in inputs. 中文 進出場時透過 alert_message 輸出 JSON。建立快訊時選 “Any alert() function call”，再由你的 webhook/橋接服務轉單；輸入面板可設定商品代碼、下單型式與使用者資訊。 提示：調整參數後，請重建快訊，並將訊息欄設為 {{strategy.order.alert_message}}。 Position sizing｜部位大小 base / quote / percent_local / percent（percent_local 以本地 USD 估值計算） 可選「按數量模式」以便與本地部位同步（position_size sync） Risk & Exits｜風險與出場 SL：ATR / Swing / ATR_or_Swing；TP Cap 以 ATR 或 % 限制上限 Breakeven & Trailing：達指定 R:R 啟動保本；之後以 最高價回看 − ATR×k 追蹤 Same-bar exits：可允許/禁止同根觸發 TP/SL Pyramiding：pyramiding=2，最多兩筆多單可同時存在（淨倉交易所請留意整體倉位的平倉行為） Suggested workflow｜建議流程 回測目標市場/週期 → 設定時段/濾網與門檻 → 微調 TP/SL 與部位大小 → 建立快訊（{{strategy.order.alert_message}}）→ 監看執行日誌 Notes & Disclaimer｜注意與免責 回測結果仰賴時間框解析與成交規則；棒內路徑與實盤可能不同 僅供研究/教育；非投資建議 本頁無廣告、無外部連結或聯絡資訊 Release Notes｜版本說明 2025-09-19 新增：One-shot Force Flat（一鍵清倉僅一次）— 於下一根收盤執行，完成後自動失效 Webhook：進/出場皆輸出 JSON；提醒更新參數後重建快訊 行為澄清：pyramiding=2，允許同圖表最多兩筆多單並存；同棒出場可設定 2025-09-18 Netted venue 說明：在淨倉模式下，出場會影響同商品的整體淨多倉；請留意手動單與策略單的互動 2025-08-28 修正小數顯示；預設優化（ETH/5m）；保留隨波動的 RR/SL 邏輯
Pine Script® Strategie
von yoyoman868
Nirvana True Duel전략 이름 열반의 진검승부 (영문: Nirvana True Duel) 컨셉과 철학 “열반의 진검승부”는 시장 소음은 무시하고, 확실할 때만 진입하는 전략입니다. EMA 리본으로 추세 방향을 확인하고, 볼린저 밴드 수축/확장으로 변동성 돌파를 포착하며, OBV로 거래량 확인을 통해 가짜 돌파를 필터링합니다. 전략 로직 매수 조건 (롱) 20EMA > 50EMA (상승 추세) 밴드폭 수축 후 확장 시작 종가가 상단 밴드 돌파 OBV 상승 흐름 유지 매도 조건 (숏) 20EMA < 50EMA (하락 추세) 밴드폭 수축 후 확장 시작 종가가 하단 밴드 이탈 OBV 하락 흐름 유지 진입·청산 손절: ATR × 1.5 배수 익절: 손절폭의 1.5~2배에서 부분 청산 시간 청산: 설정한 최대 보유 봉수 초과 시 강제 청산 장점 ✅ 추세·변동성·거래량 3중 필터 → 노이즈 최소화 ✅ 백테스트·알람 지원 → 기계적 매매 가능 ✅ 5분/15분 차트에 적합 → 단타/스윙 트레이딩 활용 가능 주의점 ⚠ 횡보장에서는 신호가 적거나 실패 가능 ⚠ 수수료·슬리피지 고려 필요 📜 Nirvana True Duel — Strategy Description (English) Name: Nirvana True Duel (a.k.a. Nirvana Cross) Concept & Philosophy The “Nirvana True Duel” strategy focuses on trading only meaningful breakouts and avoiding unnecessary noise. Nirvana: A calm, patient state — waiting for the right opportunity without emotional trading. True Duel: When the signal appears, enter decisively and let the market reveal the outcome. In short: “Ignore market noise, trade only high-probability breakouts.” 🧩 Strategy Components Trend Filter (EMA Ribbon): Stay aligned with the main market trend. Volatility Squeeze (Bollinger Band): Detect volatility contraction & expansion to catch explosive moves early. Volume Confirmation (OBV): Filter out false breakouts by confirming with volume flow. ⚔️ Entry & Exit Conditions Long Setup: 20 EMA > 50 EMA (uptrend) BB width breaks out from recent squeeze Close > Upper Bollinger Band OBV shows positive flow Short Setup: 20 EMA < 50 EMA (downtrend) BB width breaks out from recent squeeze Close < Lower Bollinger Band OBV shows negative flow Risk Management: Stop Loss: ATR × 1.5 below/above entry Take Profit: 1.5–2× stop distance, partial take-profit allowed Time Stop: Automatically closes after max bars held (e.g. 8h on 5m chart) ✅ Strengths Triple Filtering: Trend + Volatility + Volume → fewer false signals Mechanical & Backtestable: Ideal for objective trading & performance validation Adaptable: Works well on Bitcoin, Nasdaq futures, and other high-volatility markets (5m/15m) ⚠️ Things to Note Low signal frequency or higher failure rate in sideways/range markets Commission & slippage should be factored in, especially on lower timeframes ATR multiplier and R:R ratio should be optimized per asset
Pine Script® Strategie
von fkgkekd1122
Tristan's Box: Pre-Market Range Breakout + RetestMarket Context: This is designed for U.S. stocks, focusing on pre-market price action (4:00–9:30 AM ET) to identify key support/resistance levels before the regular session opens. Built for 1 min and 5 min timelines, and is intended for day trading / scalping. Core Idea: Pre-market range (high/low) often acts as a magnet for price during regular hours. The first breakout outside this range signals potential strong momentum in that direction. Retest of the breakout level confirms whether the breakout is valid, avoiding false moves. Step-by-Step Logic: Pre-Market Range Identification: Track high and low from 4:00–9:30 AM ET. Draw a box spanning this range for visual reference and calculation. Breakout Detection: When the first candle closes above the pre-market high → long breakout. When the first candle closes below the pre-market low → short breakout. The first breakout candle is highlighted with a “YOLO” label for visual confirmation. Retest Confirmation: Identify the first candle whose wick touches the pre-market box (high touches top for short, low touches bottom for long). Wait for the next candle: if it closes outside the box, it confirms the breakout. Entry Execution: Long entry: on the confirming candle after a wick-touch above the pre-market high. Short entry: on the confirming candle after a wick-touch below the pre-market low. Only the first valid entry per direction per day is taken. Visuals & Alerts: Box represents pre-market high/low. Top/bottom box border lines show the pre-market high / low levels cleanly. BUY/SELL markers are pinned to the confirming candle. Added a "YOLO" marker on breakout candle. Alert conditions trigger when a breakout is confirmed by the retest. Strategy Type: Momentum breakout strategy with confirmation retest. Combines pre-market structure and risk-managed entries. Designed to filter false breakouts by requiring confirmation on the candle after the wick-touch. In short, it’s a pre-market breakout momentum strategy: it uses the pre-market high/low as reference, waits for a breakout, and then enters only after a confirmation retest, reducing the chance of entering on a false spike. Always use good risk management.
Pine Script® Strategie
von OhRayOhRay
1
AI-JX Strategy### 🤖 Core Features AI-JX v3.3 is an AI-powered comprehensive trading strategy system developed with PineScript v6, integrating multiple advanced technical analysis tools and machine learning algorithms. ### 📊 Main Functional Modules 1. AI Learning System - Adaptive Parameter Optimization : Automatically learns and adjusts trading parameters - Three Strategy Modes : Conservative (ranging markets), Aggressive (trending markets), Balanced (universal) - Dynamic Weight Adjustment : Intelligently allocates weights to different strategies based on market conditions - Learning Memory Mechanism : Records historical trading data for continuous strategy optimization 2. Technical Indicator System - SuperTrend Indicator : ATR-based trend following system - Heikin Ashi Smoothing : Reduces market noise for clearer trend signals - Standard Deviation Channels : Multi-level support and resistance analysis - Trend Distribution Profile : Visualizes price distribution and trend strength - Multi-Timeframe Analysis : Comprehensive analysis across 5m, 15m, and 1h timeframes 3. Intelligent Signal Generation - Traditional Signals : Classic buy/sell signals based on SuperTrend - AI Smart Signals : Comprehensive scoring system combining RSI, MACD, and ATR - False Breakout Detection : Identifies and filters fake breakout signals - Price Confirmation Mechanism : Ensures signal validity and reliability 4. Risk Management System - Dynamic Stop Loss/Take Profit : Long 3% TP/1.5% SL, Short 2:1 risk-reward ratio - Slippage Monitoring : Real-time market slippage risk assessment - Volatility Filtering : Adjusts trading strategy based on ATR - Position Management : Smart capital allocation and risk control 5. Visualization Panels - Statistics Panel : Displays key data like trade count, win rate, current strategy - AI Learning Panel : Shows strategy weights and learning progress - Prediction Panel : Real-time AI analysis and trading recommendations - Chart Markers : Clear buy/sell signals and trend line displays 6. Alert System - Multiple Alert Types : Buy, sell, take profit, and stop loss notifications - Personalized Messages : Fun "WangWang" themed alert messages - Real-time Notifications : Precise alerts with maximum one per bar frequency ### 🎯 Key Advantages - AI-Driven : Machine learning optimization for better performance - Multi-Strategy : Adapts to different market conditions automatically - Risk-Controlled : Comprehensive risk management with dynamic adjustments - User-Friendly : Intuitive interface with detailed visualization panels - Highly Customizable : Extensive parameter settings for different trading styles
Pine Script® Strategie
von shaw_gao