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インジケーターとストラテジー

AnkeAlgo A68 strategy™ || AnkeAlgo®[16.6]## ✅ Multi-Timeframe Trend Strategy Based on MFI and Momentum Factors ### 📌 Overview This strategy combines **Money Flow Index (MFI)** and **Momentum** to identify trend continuation and momentum reversal opportunities in the crypto market. It focuses on volume-weighted capital flow and price strength, generating trend-biased signals suitable for swing and intraday traders. --- ### 📊 Technical Indicators Used | Indicator | Purpose | |-----------|---------| | **MFI (Money Flow Index)** | Detects capital inflow/outflow and filters range-bound markets | | **Momentum Indicator** | Measures price acceleration and confirms breakout strength | | **Optional: ATR / EMA Filters** | Can be added for volatility stop or trend validation | --- ### ⚙️ Core Logic - **Trend Confirmation**: MFI exceeds threshold and aligns with price direction - **Momentum Entry Trigger**: Trades are executed only when momentum crosses a signal level - **Noise Filter**: Avoids entries when MFI divergence or momentum weakness is detected - **Position Management**: Supports ATR-based or percentage-based stop-loss systems --- ### 🪙 Market and Asset ✅ Designed for crypto derivatives **Recommended symbol:** `ETHUSDT.P` (Perpetual Futures) --- ### ⏱️ Recommended Timeframes - 30-minute - 45-minute - 1-hour > The **45m timeframe** shows the most stable performance in forward testing. --- ### 📈 Strategy Features - Performs best during trending and high-momentum phases - Low overfitting risk, adaptable across different volatility environments - Can be used as a signal engine for grid, martingale, or multi-asset systems - Easily extendable to BTC, SOL, BNB, and other high-liquidity assets --- ### ⚠️ Risk Disclaimer - This is **not** a mean-reversion strategy and may produce false signals in sideways markets - Stop-loss management and position sizing are required for live deployment - Backtest results do not guarantee live trading performance due to slippage and trading fees ---
Pine Script® ストラテジー
AnkeAlgoの投稿
1
Aurora Vigor 2.2 (Bearish Edition)VENZITECH ALGO (Bearish Edition) I. Strategy Purpose and Design The Aurora Vigor 2.2 (Bearish Edition) is a fully automated, single-sided (Short-Only), volatility-adapted strategy designed for high-frequency trading and scalping. Its objective is to capture short-term downside momentum by applying a highly filtered, layered system that confirms bearish conviction across trend, momentum, and volume. The strategy confines its trading activity to a defined institutional liquidity window (e.g., 12:00 UTC to 20:00 UTC) to maximize the probability of price continuation following a signal. II. Core Concepts and Entry Logic The strategy uses a combination of adaptive indicators to generate high-conviction short signals: Adaptive Crossover Signal (KAMA): The primary signal is generated from the cross-under of a fast and slow Kaufman Adaptive Moving Average (KAMA). KAMA's unique formula dynamically adjusts its smoothing factor based on market volatility, providing a more responsive and less lagged signal for high-speed scalping compared to standard EMAs, making it ideal for identifying short-term trend exhaustion. Global Directional Confirmation (GDC) Filter: The KAMA signal is filtered by a slower, higher-period EMA system (e.g., 50 and 200 periods) to ensure trades are only initiated when the broad trend is confirmed to be bearish. A proprietary Price Retest filter then requires a candlestick high to specifically tag the area around the shorter-term GDC EMA (e.g., EMA 50) before the entry, confirming that the market has respected resistance before continuing its downward move. Momentum and Volume Filters (Bearish Conviction): An Average Directional Index (ADX) threshold is required to confirm that sufficient directional force is present. A below-threshold reading on the Relative Strength Index (RSI) is used to validate the necessary momentum for a short trade. A negative reading on the Chaikin Money Flow (CMF) filter, combined with a Volume Moving Average check, is used to confirm that money flow and volume are supporting the bearish thesis. III. Dynamic Risk and Exit Management All risk and exit parameters are dynamically calculated to ensure position sizing is consistent across different market conditions. Volatility-Based Sizing: The initial Stop Loss (SL) distance is calculated using the Average True Range (ATR). The strategy then uses this distance, combined with the user-defined "Max Risk per Trade (USD)" input (default $10.00), to automatically determine the position's contract quantity, maintaining a fixed dollar risk per trade. Daily Risk Limits: The strategy enforces hard stops for daily performance, including a Max Daily Loss threshold (default $500.00) and a Minimum Daily Profit Floor (default $110.00) that triggers a capital preservation exit mode if profit drops below the floor. Tiered Exit System: A sophisticated multi-stage exit system manages the open position: A partial amount of the position is exited at a fixed, calculated Take Profit (TP) target. The remaining position is protected by a Breakeven stop that moves to a fixed safety distance (e.g., entry minus one tick) once a small profit target is met. Finally, a highly adaptive Trailing Stop dynamically adjusts its sensitivity (trail points and offset) based on how far the trade progresses into profit, ensuring gains are locked in efficiently as the price moves in the desired direction. IV. Compliance and Backtesting Practices The default parameters used in the published backtest demonstrate a sustainable risk profile. The strategy is configured to use a realistic contract size based on ATR and is capped by the low Max Risk per Trade (USD) input, ensuring the risk exposure is well below common best practices (5-10% equity risk per trade). All results are generated using realistic commission and slippage settings. Past performance is not indicative of future results, and trading carries a high degree of risk.
Pine Script® ストラテジー
ngukevin90の投稿
VENZITECH ALGO 1.0(Night Vision Edition)VENZITECH ALGO 1.0(Night Vision Edition) I. Strategy Purpose and Design The VENZITECH ALGO 1.0(Night Vision Edition) is a fully automated, volatility-adapted, mean-reversion and momentum-based strategy designed for high-frequency trading (scalping and day trading). It is specifically configured for Intraday futures markets (as demonstrated by the COMEX Gold Futures backtest), but is highly customizable. The strategy's primary function is to identify high-probability entries within a well-defined institutional trading window (12:00 UTC to 20:00 UTC). It uses a layered filtering system to confirm momentum, volume conviction, and alignment with the broader trend, allowing it to capitalize on short-term price movements while minimizing exposure to consolidation periods. II. Core Concepts and Entry Logic The strategy utilizes a multi-layered approach to signal generation: Adaptive Crossover Signal: The primary entry trigger is based on the crossover of two Kaufman Adaptive Moving Averages (KAMA) with customizable speeds. KAMA is used because its smoothing constant adapts dynamically to market noise, ensuring the crossover signal is highly responsive during trending phases and slows down during consolidation. This provides the fast, adaptive signal required for scalping. Global Directional Confirmation (GDC): The KAMA signal is strictly filtered by two slower Exponential Moving Averages (EMAs), typically set at 50 and 200 periods, to confirm the long-term trend (similar to a Golden/Death Cross concept). A key element is a price retest filter that specifically looks for candle low/highs to tag the area around the shorter-term GDC EMA (e.g., EMA 50) before entry, indicating strong trend support or resistance. Momentum and Volume Filters: To ensure conviction behind the signal, the strategy integrates several classical momentum and volume concepts: An Average Directional Index (ADX) threshold filter to confirm adequate trend strength. A Relative Strength Index (RSI) filter to confirm underlying price momentum. A Chaikin Money Flow (CMF) and a Volume Moving Average filter to ensure capital is flowing into the instrument at the time of entry. III. Dynamic Risk and Exit Management Risk management is the central pillar of this strategy and is handled dynamically to ensure sustainability. Volatility-Based Sizing & Stop Loss: The initial Stop Loss (SL) is dynamically calculated using the Average True Range (ATR) multiplied by a user-defined factor. The position size (contract quantity) is then automatically calculated based on the user's defined "Max Risk per Trade (USD)" input, ensuring that the dollar risk per trade remains constant regardless of the instrument's volatility. Daily Risk Limits: The strategy enforces strict, non-negotiable daily risk limits, including a Max Daily Loss threshold and a Minimum Daily Profit Floor (e.g., $500 max loss, $110 profit floor). If the profit floor is reached, the strategy enters a capital preservation mode, closing any open trades if the P&L drops back below the floor. Multi-Stage Exit System: The exit is handled through a tiered structure: A percentage of the position exits at a fixed Take Profit (TP) target. The remaining position is managed by a Breakeven logic that moves the stop to entry plus one tick after a small profit threshold is hit. A highly adaptive, multi-stage Trailing Stop is employed on the remaining position. This trail adjusts its sensitivity and offset based on how far the trade has moved into profit, effectively securing more gains as the trade extends. IV. Compliance and Backtesting Practices All published results adhere to TradingView's House Rules for Strategy results: Realistic Account Size: The strategy uses an initial capital that is realistic for average futures traders. Trade Risk: The Max Risk per Trade (USD) input is set to a low, sustainable dollar amount (default $10.00), resulting in a risk per trade that is well below the typically viable 5-10% equity threshold. Sample Size: The backtest period has been selected to generate a highly sufficient sample size, exceeding 100 trades to ensure statistical reliability of the results. Default Properties: The strategy's default input parameters are used for the backtest and are explained herein. The "Night Vision Edition" plotting colors are purely cosmetic and have no bearing on the trading logic. Caution Warning: No caution warning is issued, and the script runs with realistic slippage and commission settings.
Pine Script® ストラテジー
ngukevin90の投稿
Phoenix Lock — No-Repaint No-Loss SMA+RSI+MACD Bot (+270%)🔥 PHOENIX LOCK — NO-REPAINT NO-LOSS SMA+RSI+MACD BOT (+270%) 🔥 ✅ 100% confirmed signals — NO REPAINT (all on closed bar) ✅ 0 losses — built-in No-Loss Exit (covers fees + slippage) ✅ +270% over 2 years (backtest + live OKX Spot) ✅ Works on BTC/USDT, ETH/USDT, SOL/USDT, any spot pair 🎯 PREMIUM FEATURES: • SMA Crossover (30/40) — clean trend entry • RSI Filter (>40) — avoids weak moves • MACD Confirmation — momentum lock • ATR x3 Take-Profit — dynamic, adaptive • No-Loss Exit — closes only above breakeven + fees • Webhook Alerts — auto-trade on OKX, Bybit, Binance • MagicNumber ready (via alert ID) 📊 SETUP (1 minute): 1. Add to TradingView 2. Enable alerts → Webhook to your broker 3. Run 24/7 — zero monitoring 4. Profit — no drawdown, no stress 💎 WHY BUY? • No repainting — signals locked on bar close • No losses — exits only in profit • Fully tested — 2 years live data • Instant delivery — lifetime access 💰 PRICE: $5000 (lifetime) or $199/month 🎁 First 5 buyers — 50% OFF ($2500) 📩 Support: @ProfitLockBot (Telegram) — setup help + updates BUY NOW — LOCK YOUR PROFITS FOREVER +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 🔥 PHOENIX LOCK — БЕЗ ПЕРЕРИСОВКИ, БЕЗ УБЫТКОВ SMA+RSI+MACD БОТ (+270%) 🔥 ✅ 100% подтверждённые сигналы — БЕЗ ПЕРЕРИСОВКИ (только по закрытому бару) ✅ 0 убытков — встроенный No-Loss выход (учтены комиссии + проскальзывание) ✅ +270% за 2 года (бэктест + живые сделки на OKX Spot) ✅ Работает на BTC/USDT, ETH/USDT, SOL/USDT, любой спот-паре 🎯 ПРЕМИУМ-ФУНКЦИИ: • SMA Crossover (30/40) — чистый вход по тренду • RSI Фильтр (>40) — избегает слабых движений • MACD Подтверждение — фиксация импульса • ATR x3 Тейк-Профит — динамичный, адаптивный • No-Loss Выход — закрытие только выше безубытка + комиссии • Webhook Алерты — автоторговля на OKX, Bybit, Binance • MagicNumber готов (через ID алерта) 📊 УСТАНОВКА (1 минута): 1. Добавь в TradingView 2. Включи алерты → Webhook к брокеру 3. Запусти 24/7 — без контроля 4. Прибыль — без просадки, без стресса 💎 ПОЧЕМУ КУПИТЬ? • Без перерисовки — сигналы фиксированы на закрытии бара • Без убытков — выход только в плюс • Полностью протестировано — 2 года реальных данных • Мгновенная доставка — пожизненный доступ 💰 ЦЕНА: $5000 (пожизненно) или $199/мес 🎁 Первые 5 покупателей — СКИДКА 50% ($2500) 📩 Поддержка: @ProfitLockBot (Telegram) — помощь с настройкой + обновления КУПИ СЕЙЧАС — ЗАФИКСИРУЙ ПРИБЫЛЬ НАВСЕГДА
Pine Script® ストラテジー
ForexCraftの投稿
MSB Gold Trend Breakout [TV]: The High-Stability Gold Scalper🏆 MSB Gold Trend Breakout : The High-Stability Gold Scalper This is the official signal for the MSB Pro brand, designed for traders who demand low-drawdown, consistent performance on the XAUUSD (Gold) market. 📈 Verified Performance & Risk Contro l The strategy's stability has been verified over 1.8 years of historical data. Max Drawdown (DD): 12.53% (Exceptional capital safety.) Total Net Profit (1.8 Yrs): +8.15% (Consistent Growth.) Profit Factor: 1.055 (Proven reliability.) 🛡️ Why Choose This Signal? True Risk Control: The low drawdown is achieved through a strict EMA filtering system, preventing entry into high-volatility, directionless markets. Breakout Logic: Uses high-probability breakout movements confirmed by trend alignment (EMA Cross and Trend Filter). No Martingale/Grid: This is a safe, single-order strategy. 👑 Upgrade to Full License This signal is priced low to allow you to validate the performance. Upgrade to the full license ($499) to get: Lifetime Updates & Future Strategy: Guaranteed access to all future professional upgrades of the MSB Pro Dynamic Risk strategy (V2.0, V3.0, etc.) at no extra cost. Significant Savings: Purchasing the full license is significantly cheaper than continuous renting.
Pine Script® ストラテジー
kmozkanの投稿
MoneyPlant-Auto Support Resistance V2.0 🧭 Overview MoneyPlant – Auto Support Resistance is a professional-grade indicator designed to automatically detect dynamic Support and Resistance levels using real-time market structure. It combines trend confirmation, structure analysis, and momentum logic to identify high-probability trading zones in all market conditions. ⚙️ Core Concept This indicator uses a unique combination of classic and proprietary logic to filter only the most relevant S/R levels: • Dynamic Support/Resistance Mapping: Detects strong reaction levels based on price structure, candle rejection points, and breakout validation. • EMA & WMA Trend Filter: Uses a triple-moving-average model (default EMA 18, EMA 25, and WMA 7) to confirm current market bias. • MACD Momentum Filter: Confirms trend strength and helps avoid false breakouts. • Smart Alignment Logic: Generates signals only when structure, trend, and momentum all align in the same direction. 🧠 How It Works 1. Buy Setup:  When price breaks above a resistance level with bullish EMA/WMA alignment and positive MACD momentum → Buy Signal triggers. 2. Sell Setup:  When price breaks below a support level with bearish EMA/WMA alignment and negative MACD momentum → Sell Signal triggers. 3. Auto-Refreshing Zones:  Support and Resistance zones update dynamically as market structure evolves. 🎯 Best Use Cases • Works effectively on Stocks, Indices, Forex, and Commodities (e.g., XAUUSD, NIFTY, BANKNIFTY ). • Ideal for Intraday & Swing Trading (15 min – 1 hour timeframes). • Fully compatible with TradingView alerts and automation tools. 💡 Key Features ✅ Automatic Support/Resistance detection ✅ Adaptive EMA + WMA + MACD trend logic ✅ Real-time Buy/Sell alerts ✅ Multi-timeframe compatibility ✅ Optimized for clean chart visuals ⚖️ Recommended Settings • EMA Fast: 18 • EMA Slow: 25 • WMA Filter: 7 • MACD: Default parameters (Users may adjust EMA/WMA settings according to their own trading style.) 🔒 How to Get Access To get access to this invite-only script, please send me a private message on TradingView or use the link in my profile. Once your username is added via Manage Access, you’ll be able to use the indicator. 🧾 Notes for Traders This tool does not repaint, and it’s meant for educational and analytical purposes only. Each license is valid for one TradingView username — no resale or redistribution is permitted. Developed by MoneyPlant Smart Automation for Professional Traders
Pine Script® ストラテジー
saandeeppavaarの投稿
AMF PG Consensus Engine v3.5AMF PG Consensus Engine v3.5 1. Core Philosophy: A Multi-Stage Confirmation System for High-Probability Signals In the world of automated trading, the real challenge isn't generating signals, but filtering out the noise. The AMF PG Consensus Engine is designed to address this challenge. It operates on a simple yet powerful philosophy: a buy or sell signal is valid only if it receives confirmation from multiple, independent analysis modules. This strategy isn't a "black box." It's a transparent, rules-based framework that transforms market momentum and momentum into a final consensus and then directs a core trend-following engine. The goal is to avoid trading in adverse market conditions and only act when the different analysis layers agree. 2. How the Consensus Engine Works: Two Confirmation Layers Before the core engine is allowed to seek a trade, the market must go through a two-stage "confirmation" process. Both filters can be enabled or disabled from the settings, allowing users to customize the strategy's stringency level. Confirmation Module 1: Renko Regime Filter This module's purpose is to answer a critical question: "Is the market currently in a stable, directional trend, or is it volatile and unstable?" Instead of standard indicators, it creates a timeless Renko chart in the background. A trend is confirmed only if a minimum number of consecutive Renko bricks form in the same direction. This method is extremely effective at filtering out noisy, sideways price movements, which are often unsuccessful for trend-following systems. The brick size can be set to a fixed value or automatically calculated based on the Average True Range (ATR) for better fit. Confirmation Module 2: Candle Scoring Engine This module analyzes the raw strength of price action by scoring each candle individually. It evaluates the candle's direction, body size relative to the previous candle, and the change in closing price. These factors are converted into a score for each bar. A cumulative score is then calculated over a user-defined period. A buy trade is only confirmed if this cumulative momentum score exceeds a positive threshold, indicating sustained buying pressure. Conversely, a sell trade requires the score to fall below a negative threshold, indicating sustained selling pressure. 3. Core Engine: AMF PG Trend Follower When both confirmation modules give the "green light" for a specific direction (e.g., buy), the core AMF PG (Praetorian Guard) engine is activated. This is a proprietary, volatility-sensitive trend-following mechanism. It calculates a dynamic upper and lower band around the price. These bands are not static; their distance from the price is constantly adjusted based on recent market volatility and price expansion. A trade is initiated when the price breaks out of these bands in the direction confirmed by the consensus engine. The opposing band then serves as the initial trailing stop-loss, adjusted as the trend progresses. 4. Embedded Filters for Additional Security To further enhance signal quality, the core engine has several embedded filters that are always active and cannot be disabled by the user: Trend Strength Filter: To confirm that a trend has sufficient strength, a trade will not be initiated unless the ADX (Average Directional Index) is above a certain threshold. Sideways Market Filter: The Chop Index is used to prevent trading in extremely sideways and directionless markets. 5. Risk Management: Maximum Drawdown Protection A key feature of this strategy is its built-in capital protection mechanism. Users can set a maximum capital drawdown limit of a percentage. If the strategy's capital falls by this percentage from its peak, the "DD Protect" feature is activated, closing all open positions and preventing new trades from being opened. This acts as a final emergency brake to protect capital during unpredictable market conditions or underperformance of the strategy. 6. Automation-Ready: Customizable Webhook Alerts This strategy was developed for modern investors looking to automate their trading. Instead of generic alert messages, you can define your own custom alert text directly from the script's settings. This feature is particularly powerful for connecting to third-party automation services via Webhooks. You can configure the alert message in the JSON format required by your service (such as {"action": "buy", "symbol": "{{ticker}}"}). This allows you to seamlessly connect your strategy signals directly to your trading account. 7. Strategy Backtest Information Please remember that past performance is not indicative of future results. The published chart and performance report were generated on the 4-hour timeframe of the BTC/USD pair with the following settings: Test Period: January 1, 2016 - October 31, 2025 Default Position Size: 15% of Capital Pyramiding: Closed Commission: 0.0008 Slippage: 2 ticks (Please enter the slippage you used in your own tests) Testing Approach: The published test includes 799 trades and is statistically significant. It is strongly recommended that you test on different assets and timeframes for your own analysis. The default settings are a template and should be adjusted by the user for their own analysis.
Pine Script® ストラテジー
blntdmnの投稿
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® ストラテジー
Thach999の投稿
1
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY-JTM──────────────────────────────────────────────────────── BUY LOW, BUY MORE, SELL HIGH – MARKET FLOW STRATEGY (v594) – JTM ──────────────────────────────────────────────────────── Category: Quantitative Momentum & Liquidity Flow Strategy Author: JTM ──────────────────────────────────────────────────────── An Adaptive Contrarian live trading strategy that scales into deep pullbacks, rides liquidity waves, and locks profit automatically, using your TradersPost.io webhook. ──────────────────────────────────────────────────────── DESCRIPTION ──────────────────────────────────────────────────────── The "Buy Low, Buy More, Sell High" strategy combines value-based accumulation with adaptive profit protection. It adds exposure on weakness (new lower lows and confirmed liquidity support) and closes trades dynamically once a profitable run-up retraces by a set percentage (default 13%). It reconstructs multi-timeframe market structure (Intraday → Daily → Weekly → Monthly → Yearly) using synthetic OHLCs to avoid repainting, and integrates VWAP anchoring, adaptive KAMA smoothing, RSI validation, and rolling lower-low tracking. Contrarian strategies are difficult for the human to be easily comfortable with... because but the results can be worth the wait. Believe that you truly want to Sell when everyone is buying and buy when everyone is almost done selling. Not vice-versa! Forget about trying to time the market at the true top or the true bottom - just ride the rolling waves and the profits will come ashore. ──────────────────────────────────────────────────────── CORE FEATURES ──────────────────────────────────────────────────────── • Non-repainting by design – only confirmed bars update persistent state • Synthetic HTF OHLC construction avoids lookahead bias • Adaptive trailing TakeProfit logic aims for (80–87% of peak profit retained) • AI-like market flow dashboard with Bull/Bear liquidity dominance • Dynamic rolling "Lowest Low" (LLL) detection and visualization • Modular time detection and session alignment (New York market default) • Optional Liquidity Dashboard with intraday/swing dual-mode analytics 1. Non-Repainting Architecture - Long side strategy. Not coded for short selling. 2. Works best on a 1hr/60m intraday chart with a 3hr higher Timeframe (strategy input) 3. Immediately Uncheck Show Trade Signals in the Strategy's Style Settings to eliminate onscreen clutter 4. Market Liquidity Dashboard can be displayed by setting in the strategy's inputs. 5. You set a price range of stocks you wish to allow to trade when using an alert list. 6. You can set a preview period where gray TV trades alerts to Traderspost are withheld. 7. If you check "Do not LIVE sell any assets today" and update the alert, no Traderspost 8. As well as the Market Flow Dashboard, you can display a table of HLs, and LLs. Trending stocks will display HLs and Vice Versa. 9. You can switch away from Big Rolling Waves Mode (default) to Intraday Short Moves mode 10. Default Big Wave Rolling Cycle is 120 bars (Recommended) 30,60,90,120 are typical. (this affects the strategy profitability and choice of entry and exits). 11. Reference to FIFO is about the array size for the stored non-repainting HLs and LLs 12. Option to execute trades on unconfirmed bar is BETA. The strategy Only trades on confirmed bars always, but I am wanting/hoping to eventually Take Profit on a BIG ASS institutional candle, morning session bar when they occur. (a new bar is unconfirmed, building, and tricky to code without breaking the strategy's reliability). Use at your own risk. ──────────────────────────────────────────────────────── Technical Highlights ──────────────────────────────────────────────────────── • AI-inspired “Flow Confidence” through liquidity imbalance between Bull and Bear pressure. • Adaptive KAMA smoothing for non-lag confirmation. • Dynamic trailing take-profit computed as 80–87% of the highest profitable run-up. • Non-repainting multi-timeframe framework (daily–weekly–monthly aggregation). • LLL Table module for Lowest-Low progression and trend exhaustion. • Market Flow Dashboard visualizing rolling liquidity dominance and delta pressure. • Session-aware logic for intraday vs. swing operation. • All logic has been tuned to peak performance that satisfies the TradingView Profiler. • Strategy Buys again at a lower price instead of selling and taking a loss. Drawdown Peaks! but this requires you configure TradingView Strategy Pyramiding orders to 2 or more and % of equity. (definitely is more $$ risky, potentially more profitable and might beat Buy and Hold profits) See the chart above. ──────────────────────────────────────────────────────── WHY IT DOES NOT REPAINT (even thought the TradingView alert message says it might.) ──────────────────────────────────────────────────────── 1. All trade, table, and OHLC updates occur only on `barstate.isconfirmed` 2. Synthetic HTFs are self-built without `lookahead` or future data 3. All arrays use `var` persistence to freeze past state 4. Trailing TakeProfit peak updates only on confirmed highs 5. No forward-referencing of real-time partial bars ──────────────────────────────────────────────────────── LIMITATIONS ──────────────────────────────────────────────────────── 1. Heavy computation on long intraday histories (optimize `max_bars_back`) 2. Requires intraday chart resolution (1m–4h) 3. U.S. session defaults (09:30–16:00 ET); adjust for other exchanges 4. Arrays and tables consume memory – disable extra visuals if unneeded 5. Not for use with Crypto, Forex, or Futures. 6. Only to be used with Stocks/Tickers having volume data. 7. Live trading is coded for a TradersPost.io Webhook and a brokerage account. (IBKR) ──────────────────────────────────────────────────────── WARNINGS ──────────────────────────────────────────────────────── 1. This is an Adaptive and Contrarian Trading strategy that scales into DEEP pullbacks, rides long liquidity waves, and locks profit automatically. 2. Trades can have a long duration but are minimal. This is not a strategy that will generate thousands of trades. It will save you on commissions to. 3. It does its best to limit losses and but I cannot guarantee it will work for all assets, all the time. Market conditions vary. Tickers vary. 4. Use it with assets that you trust not to race to zero dollars. 5. Use this strategy with healthy tickers that have medium to high volatility. 6. To eliminate onscreen clutter, uncheck strategy settings/style/trade signals. 7. I use this strategy exclusively. TradingView alerts run for me 24/7 and ROBO trade. but you should vet the system with manual trades signals it generates for yourself. 8. It does not prevent you from losing profits in after hours trading and Market News. 9. The BIG ASS new bar of opening candle is Not calculated into the stats until it is confirmed. Especially bothersome for me when its a big 10% down candle. You still need to watch the first 9:30 candle with your eyes. I recommend you watch liquidity at Open using a 1m timeframe. 10. This is a pro-grade coded strategy but is NOT a “Wall Street Quant grade.” strategy. Institutions rely on: • slippage models • depth-of-book impact modeling • latency simulation • volume-weighted fills • partial fills & queue priority • order slicing (TWAP, VWAP, POV) Pine Script cannot simulate the above. 11. This Pine Script strategy is market-internal (chart & volume) and for personal-use only. The code remains private to me. 12. To the full-time traders — my respect. I live in the world of code, not charts, scalps, candles and screens, so I engineered this 2500-line strategy to trade for me with un-emotional discipline, as you do. If this strategy resonates with you, I provide it for you to use in the TradingView spirit of community. Backtested results are hypothetical and not indicative of future performance. Nothing here constitutes investment advice. Trading involves risk, and users must assume full responsibility for their trading decisions. Remember, its not about making 'all' the money a stock theoretically could return as if you did a buy and hold many years ago - its about making good money as you navigate the waves of the stormy seas, and not sinking. It about making better trade decisions compared to the persons you are trading against. Have fun all the while making your money - work for you. ──────────────────────────────────────────────────────── “Be fearful when others are greedy, and be greedy when others are fearful.” — Warren E. Buffett “The stock market is a device for transferring money from the impatient to the patient.” — Warren E. Buffett True wealth grows through time, not reaction. A person sits in the shade today because of a tree that somebody planted years ago. — Warren E. Buffett Happy Trading!
Pine Script® ストラテジー
JTMarketAIの投稿
1
VWAP & Band Cross Strategy v6 - AdvancedThese are a few updates made to the original script. The daily take profit and stop loss functions correctly for 1 contract but because of the pyramiding input even if not used you'll need to multiply the values by the number of contracts to keep consistent results. I have been unable to correct that function. Let me know if you test the script and have any recommendations for improvement. If trading an actual account I do recommend setting hard daily limits with your provider because there is still slippage from the original exit alerts even with the daily stop loss in place. 1. Real-Time Execution & Hard PnL Limits (The Focus) The most critical changes were implemented to ensure the daily profit and loss limits act as hard, real-time barriers instead of waiting for the candle to close. • Intrabar Tick Execution: The parameter calc_on_every_tick=true was added to the strategy() declaration. This forces the entire script to re-evaluate its logic on every single price update (tick), enabling immediate action. • Real-Time PnL Tracking: The PnL calculation was updated to track the total_daily_pnl by summing the realized profit/loss (from closed trades) and the unrealized profit/loss (strategy.openprofit) on every tick. • Immediate Closure: The script now checks the total_daily_pnl against the user-defined limits (daily_take_profit_value, daily_stop_loss_value) and immediately executes strategy.close_all() the moment the threshold is breached, preventing further trading. • Combined Risk Enforcement: The user-defined "Max Intraday Risk ($)" and the "Daily Stop Loss (Value)" are compared, and the script enforces the tighter of the two limits. 2. Visibility and External Alerting To address the unavoidable issue of slippage (which causes price overshoot in fast markets even with tick execution), dedicated alert mechanisms were added. • Dedicated Alert Condition: An alertcondition named DAILY PNL LIMIT REACHED was added. This allows you to set up a TradingView alert that triggers the instant the daily_limit_reached variable turns true, giving you the fastest possible notification. • Visual Marker: A large red triangle (\u25b2) is plotted on the chart using plotchar at the exact moment the daily limit condition is met, providing a clear visual confirmation of the trigger bar. 3. Strategy Features and Input Flexibility Several user-requested features were integrated to make the strategy more robust and customizable. • Trailing Stop / Breakeven (TSL/BE): A new exit option, Fixed Ticks + TSL, was added, allowing you to set a fixed profit target while also deploying a trailing stop or breakeven level based on points/ticks gained. • Multiple Exit Types: The exit strategy was expanded to include logic for several types: Fixed Ticks, ATR-based, Capped ATR-based, VWAP Cross, and Price/Band Crosses. • Pyramiding Control: An input Max Pyramiding Entries was introduced to control how many positions the strategy can have open at the same time. • Confirmation Logic Toggle: Added an input to choose how multiple confirmation indicators (RSI, SMMA, MACD) are combined: "AND" (all must be true) or "OR" (at least one must be true). • Indicator Confirmations: Logic for three external indicators—RSI, SMMA (EMA), and MACD—was fully integrated to act as optional filters for entry. • VWAP Reset Anchors: Logic was corrected to properly reset the VWAP calculation based on the selected period ("Daily", "Weekly", or "Session") by using Pine Script v6's required anchor series. Trading Day Filters: Inputs were added to select which specific days of the week the strategy is allowed to trade.
Pine Script® ストラテジー
mcward302の投稿
Aurora Vigor 2.2 — Night Vision Edition🧠 Aurora Vigor 2.2 — Night Vision Edition ⚡ Aurora Vigor is a precision-engineered intra-day trading strategy built for futures and prop-firm evaluations. It blends adaptive moving averages, volatility-adjusted risk control, and session-based logic to capture structured micro-trend moves with disciplined execution. ⚙️ Core Concepts Dual adaptive moving-average framework (KAMA + EMA) identifies short-term trend alignment. ATR-based dynamic stop and position sizing maintain consistent risk per trade. Smart breakeven and progressive trailing secure profit automatically. Session lock (8 AM–4 PM ET) filters out low-liquidity periods. Daily profit/loss guardrails stop new entries beyond preset limits. 📊 Recommended Settings Timeframe : 1 – 5 minutes Markets : NQ | ES | MNQ | MES | MGC | MCL Risk per trade : $10 (default) ATR Multiplier : 0.5 Take Profit : 12 ticks 🌫️ Visual Design The Aurora Cloud dynamically shifts brightness with volatility—subtle in chop, vivid in momentum—creating a professional, low-glare “night-vision” chart aesthetic. ⚠️ Disclaimer For educational and research purposes only. No guarantee of profit or future performance. Always test thoroughly before live use. Author’s Note: Built for disciplined traders who value structure, consistency, and precision in execution.
Pine Script® ストラテジー
ngukevin90の投稿