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Grid Bot Demonstrator🚀 Grid Bot Demonstrator Overview The Grid Bot Demonstrator is a high-performance visualization tool designed for traders utilizing Grid Trading strategies (similar to Pionex, Binance, or KuCoin). It allows you to simulate and visualize a grid bot's structure directly on your chart, enabling precise planning of ranges and grid density before deploying capital. 🛠 Key Features Dynamic Auto-Range: When limits are set to 0, the indicator automatically calculates an optimal range (±10% from current price) rounded to the nearest $10,000—ideal for Bitcoin’s psychological levels. Dual Mode Support: Seamlessly toggle between Long and Short strategies via a simple dropdown menu. Intelligent Grid Coloring: Long Mode: Green lines above price (Take Profit), Red lines below (Buy/Support). Short Mode: Red lines above price (Entry/Stop), Green lines below (Take Profit). Performance Optimized (Smart Window): Even with up to 500 grids , the chart remains fluid. The script renders only the 100 lines closest to the current price while maintaining perfect mathematical accuracy of the total grid count. Boundary Protection: Features bold, distinct safety lines for the Upper and Lower limits so you know exactly when your bot leaves the active trading zone. 📖 How to Use 1. Grid Settings Enter your Upper and Lower price limits. Use "0" for the automated 10k-rounding logic. 2. Grid Count Set the number of grids (up to 500) to match your bot's specific configuration. 3. Strategy Mode Select "Long" or "Short" to instantly adapt the color coding to your trade direction. 4. Scalability Works across all timeframes, from 1-minute scalping to daily charts. 🔬 Technical Specifications Grid Type: Arithmetic (Equal USD distance between levels). Engine: Pine Script V5 with max_lines_count optimization. Clarity: Focuses on visual price levels to provide a clean, distraction-free trading environment.
Pine Script®指標
由AlexTrading2022提供
Game Theory Strategic Indicator - Archery & Horse Riding Model# Game Theory Strategic Indicator - Archery & Horse Riding Model ## Overview This indicator applies rigorous game theory mathematics to market analysis, modeling price action as a strategic two-player game between buyers and sellers. The methodology draws from economic game theory, evolutionary dynamics, and zero-sum game optimization. ## Theoretical Foundation The indicator implements five core game theory concepts: **1. Expected Utility (Mixed Strategies)** Calculates E = p×U₁ + (1-p)×U₂ where: - p = probability distribution based on volume dynamics - U₁, U₂ = utility payoffs for aggressive vs defensive strategies - Uses RSI momentum and ATR volatility to quantify payoffs **2. Nash Equilibrium Detection** Identifies market states where ui(σᵢ*, σ₋ᵢ*) ≥ ui(σᵢ, σ₋ᵢ*): - Measures when no participant can improve by changing strategy - Highlighted with yellow background zones - Signals reduced edge environments (avoid trading) **3. Replicator Dynamics** Models evolutionary strategy adaptation: dx/dt = x(f(x) - φ(x)) - Tracks frequency changes in bullish vs bearish strategies - Shows which approach is gaining evolutionary fitness - Purple line indicates strategy evolution trend **4. Minimax Algorithm** Implements zero-sum game optimal strategy L(x,y): - Calculates win/loss ratio over lookback period - Values > 1.0 suggest favorable risk/reward - Orange line shows deviation from neutral state **5. Best Response Function** Determines optimal action maximizing ui(aᵢ, a₋ᵢ): - Compares buyer vs seller expected utilities - Generates primary long/short signals - Confidence weighted by utility differential ## Visual Elements **Chart Plots:** - **Blue Line (Utility Differential)**: Buyer utility minus seller utility. Positive favors longs, negative favors shorts - **Purple Line (Replicator Dynamics)**: Rate of strategy evolution. Rising = bullish strategies gaining fitness - **Orange Line (Minimax Deviation)**: Zero-sum game value. Above zero = favorable conditions - **Pink Area (Mixed Strategy Bias)**: Probability-weighted strategy preference - **Yellow Background**: Nash equilibrium zones where no player has edge **Signals:** - **Green Triangle Up**: Long signal - buyer utility dominates outside equilibrium - **Red Triangle Down**: Short signal - seller utility dominates outside equilibrium - **Yellow Diamond**: Equilibrium warning - reduced edge state **Info Table (Top Right):** - EU Buyer/Seller: Current expected utilities - Nash Score: Equilibrium strength (>0.65 = equilibrium) - Mix Prob: Volume-based probability distribution - Minimax: Win/loss ratio indicator ## Strategy Metaphors **Archery (Buyer Strategy)**: Represents precision attacks - targeted entries at optimal risk/reward points, high accuracy required **Horse Riding (Seller Strategy)**: Represents mobile defense - flexible positioning, quick exits, adaptive to changing terrain ## Parameters - **Strategy Period (14)**: Lookback for RSI and ATR calculations - **Mixed Strategy Length (21)**: Period for minimax win/loss analysis - **Nash Equilibrium Threshold (0.65)**: Minimum score to identify equilibrium (0.5-0.9) - **Show Trade Signals**: Toggle buy/sell arrows - **Show Equilibrium Zones**: Toggle background highlighting ## How to Use 1. **Trend Trading**: Take long signals when utility differential (blue) is rising and no equilibrium zone present 2. **Counter-Trend**: Take signals when replicator dynamics (purple) diverges from price 3. **Risk Management**: Avoid trading during yellow equilibrium zones - market has no clear edge 4. **Confirmation**: Best signals occur when minimax > 1.0 and best response aligns with utility differential 5. **Monitoring**: Watch info table for real-time utility balance and equilibrium status ## Alerts Three alert conditions available: - **GT Long Signal**: Buyer utility dominates, composite score > 0.5 - **GT Short Signal**: Seller utility dominates, composite score < -0.5 - **Nash Equilibrium**: Market reaches balanced state, avoid new entries ## Mathematical Rigor All calculations use proper game theory formulations: - Payoff functions normalized by volatility - Probability distributions bounded - Zero-division protection implemented - Utilities properly weighted in composite score ## Originality Statement This indicator is original work implementing classical game theory mathematics in a novel market analysis framework. The code, calculations, and interpretation methodology are entirely my own creation. No external scripts were copied or modified. ## Disclaimer This indicator is for educational purposes. Game theory provides a framework for analyzing strategic interaction but does not guarantee profitable trading. Always use proper risk management, test thoroughly, and understand that past performance does not indicate future results. --- **Educational Resource**: For deeper understanding of game theory in economics, see Nash (1950) "Equilibrium Points in N-Person Games" and Maynard Smith (1982) "Evolution and the Theory of Games" ``` ---
Pine Script®指標
由uzair2join提供
XAUUSD Breakout Retest Sniper StrategyThis strategy is designed to demonstrate a structured breakout + retest approach using trend confirmation and volatility-based risk management. It is built for educational and research purposes to help traders understand how breakout continuation moves can be analyzed systematically. The logic focuses on identifying key breakout zones from recent highs and lows, then waiting for price confirmation in the direction of the prevailing trend before simulating entries. Core Logic Behind the Strategy Uses a trend filter (EMA) to define directional bias Identifies recent resistance and support using lookback highs/lows Waits for breakout confirmation and retest behavior Applies ATR-based stop loss and risk-to-reward target projection Designed for intraday charts such as 5M–15M (can be adjusted) The strategy aims to model how price often moves from one liquidity zone to another after breaking key levels. It avoids trading in consolidation and focuses only on confirmed directional moves. How It Works • Bullish conditions when price is above trend EMA • Bearish conditions when price is below trend EMA • Breakout of recent structure signals potential continuation • ATR used to simulate dynamic SL and TP levels • Built-in backtesting for study and optimization Important Notes This script is a technical model for chart study and strategy development. It does not guarantee performance and should not be used as financial advice or a signal service. Users are encouraged to test, modify, and adapt it according to their own trading plans and risk management rules. Best Use Learning breakout + retest behavior Backtesting structured entry models Studying trend-based continuation setups Developing personal trading systems Disclaimer This publication is for educational and informational purposes only. Trading involves risk, and past performance does not guarantee future results. Always perform your own analysis before making trading decisions. xauusd, gold, strategy, breakout, price action, algorithmic trading, trend trading
Pine Script®策略
由JaxonJackFX提供
TRADING BITE Supply Demand Marker V2.1This Indicator Automatically identifies key supply and demand candles and highlights potential reversal zones. Integrated volume analysis validates market moves, helping traders make more informed entry and exit decisions. Perfect for spotting high-probability trades and understanding market structure at a glance. Features: Highlights Supply & Demand zones automatically Marks key reversal candles Volume-based validation for stronger signals Easy-to-read visual alerts for trading decisions Disclaimer / No Liability Notice: This indicator is provided for educational and informational purposes only. It does not guarantee profits or predict future market movements. Trading financial instruments involves substantial risk of loss, and you should only trade with money you can afford to lose. By using this indicator, you acknowledge that you assume full responsibility for any trading decisions made based on its signals. The developer accepts no liability for any losses, damages, or financial consequences that may result from using this tool. Always perform your own analysis and consider consulting a licensed financial advisor before making trading decisions. Past performance is not indicative of future results.
Pine Script®指標
由Trading_bite提供
March-May Oct-Dec bank stocks strategyIn the Indian market, banking stocks have some sort of cyclic nature. If you buy at the start of March and sell at the start of May and then buy at the start of Oct and sell at the start of December, you can make gains close to to "buy and hold", while being invested only for 4 months out of 12. This seems to backtest well for post 2021 on all Bank stocks I tested, including BANKNIFTY as well Caveat: Not calculating STCG and other expenses caused by selling and buying 2 times every year.
Pine Script®策略
由rep_movsd提供
1
Martingale Grid BotMartingale Grid Bot (MGB) The strategy is designed to test grid trading with a possible increase in the size of each subsequent order based on the martingale principle. The strategy itself does not contain any trade decision logic and is fully driven by external signals coming from indicators used on the chart. A new grid of orders is created when an entry signal is received, provided that there is no active grid. ❗ Warning Trading with leverage and martingale involves increased risk. This strategy is a rather rough tool and is intended for testing purposes only. The author is not responsible for any possible discrepancies between the strategy results and real trading. Settings Direction - Trading direction. Possible values: Long and Short. Entry Signal Source - Source of the entry signal that initiates the creation of a new order grid. If one of the price sources (open, high, low, close, etc.) is selected, a new grid will be created automatically after the previous grid is fully closed. Start Time - Date and time when the strategy starts operating. Marked on the chart with a vertical dashed line. No Repainting Mode - A mode intended to reduce discrepancies between historical and real-time strategy behavior (repainting). Enabled — a new grid is created only after the bar is closed. The first order can be filled no earlier than on the next bar. Disabled — in real-time, a new grid can be created immediately upon receiving a signal or after the previous grid is closed by take profit or stop loss. ❗ Attention For correct real-time operation, recalculation on every tick must be enabled in the strategy settings. GRID Grid Depth % - The depth of the order grid, specified as a percentage of the closing price at the moment the grid is created. Orders Count - The number of orders in the grid. The first order is placed at the current closing price at the time of grid creation. Martingale Multiplier - Position size multiplier. Each subsequent order in the grid will be increased by this factor. The size of the first order is defined in the strategy settings. Leverage - Leverage multiplier for margin trading. Used to check available funds when creating grid orders. It is recommended to use it together with the margin parameters in the strategy settings. Take Profit % - Calculated on each strategy update based on the average entry price. If none of the grid orders have been filled yet, the take-profit level for the first order is displayed on the chart. Stop Loss % - Calculated from the price of the first grid order and does not change during the strategy operation. Orders whose price exceeds the stop-loss level will be automatically canceled. TABLE Show Table - Controls the display of the table with all orders of the current grid. If there is no active grid, no order data is displayed. Text and background colors are determined automatically based on the chart background color. Order Size - Determines how the grid order size is displayed: in contracts or in currency. Table Size - Font size in the table. Timezone - Used to correctly display the order fill time relative to the chart time. The order fill time (status: filled) can be seen by hovering over the corresponding status cell in the table. VISUAL Long Entry - Color of the dotted lines representing grid orders when trading long. Also defines the color of the vertical line indicating the strategy start time. Short Entry - Color of the dotted lines representing grid orders when trading short. Also defines the color of the vertical line indicating the strategy start time. Take Profit - Color of the solid line representing the take-profit level. Stop Loss - Color of the solid line representing the stop-loss level.
Pine Script®策略
由Pechka_Rider提供
High Breakout PRO - Huy Hoang Trader # High Breakout PRO - Huy Hoang Trader - Strategy Description ## 🚀 Overview **High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**. This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes. ## 💎 Key Features 1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability. 2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines: * **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support). * **Volatility:** Uses ATR-based trailing (Chandelier Exit logic). * *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation. 3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter. ## 🛠 Strategy Logic ### entry rules * **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20). * **Trend Confirmation:** Closing Price > EMA 200 (Configurable). ### Exit Rules * **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**. * The Trailing Stop never moves down. It only moves up as price increases. * It effectively adapts to both slow-grinding trends and explosive spikes. ## ⚙️ Best Settings (Recommended) * **Timeframe:** H4 (Swing Trading) or Daily (Position Trading). * **Entry Period (X):** 20 * **Exit Period (Y):** 10 * **Trend Filter:** ON (EMA 200) * **Risk Management:** Hybrid Mode (ATR Multiplier 3.0) ## ⚠️ Disclaimer This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading. --- *Developed by Antigravity. Empowering traders with institutional-grade tools.* Contact for work: www.facebook.com
Pine Script®策略
由ngohuyhoanghcm提供
SPY Quant ML + Session Filter Strategy [CocoChoco]S&P 500 Quant: Machine Learning & Mean Reversion (Session-Filtered) Overview This is a professional-grade quantitative strategy designed specifically for the S&P 500. It combines classical statistical mean reversion (Z-Score) with a modern Machine Learning filter and rigorous institutional-grade risk management. The strategy is optimized for traders who prioritize high win rates and capital preservation, specifically avoiding the "gap risk" associated with holding positions overnight. Core Methodology 1. Statistical Entry (The Z-Score Engine) The strategy identifies "oversold" conditions in a bullish context. It calculates the Z-Score of the price relative to its 20-period Mean (SMA). By default, it looks for a -1.2 Standard Deviation extension, signaling a high-probability "dip" ripe for a snap-back to the mean. 2. Trend & ML Filters To avoid "catching a falling knife," the strategy uses two layers of confirmation: Trend Filter: Only takes Long positions when the price is above the 200-period SMA, ensuring we only buy dips in a confirmed uptrend. ML Correlation Filter: A Machine Learning-inspired module that analyzes the correlation between RSI and Volatility (ATR). It only permits entries when market internal dynamics suggest a reversal is technically "healthy." 3. Institutional Risk Management This script is built for "safety-first" automation: Hard Stop Loss: Fixed at 1.5% to protect against sudden market shocks. Active Trailing: A dual-trigger trailing stop. It activates once the price touches the 20 SMA (The Mean) OR once a trade reaches a 0.50% profit threshold. This ensures near-winners are protected and large runners are captured. Intraday Circuit Breaker: Includes a Max Daily Drawdown (2%) limit. If hit, the script automatically closes losing positions and halts trading for the day, while allowing winning positions to continue. Key Features Session-Specific: Tailored for the US Trading Session (UTC/NY times). Zero Overnight Risk: Automatically flattens all positions before the market close (16:00 NY Time). Holiday Intelligence: Hard-coded logic for US Market Holidays and Early Closes (2026–2028), ensuring the bot doesn't get stuck in illiquid holiday markets. Hourly Entry Cap: Limits entries to one per hour to prevent over-concentration during a single price leg. How to Use Timeframe: I suggest you use it on the 5-minute or 1-hour timeframe for optimal results. Instrument: Designed for the S&P 500, but highly effective on SPY, IVV, and ES (Futures). Pyramiding: Designed to handle up to 3 concurrent positions, allowing the strategy to scale into a move as the Z-Score deepens. Automation Ready This script is fully compatible with webhook-based automation tools. All signals (Entry, SL, Trail, Market Close, and Daily Limit) are clearly labeled in the Alert comments for seamless execution. I haven't tasted it though. This is not financial advice. Please perform your own tests and manage your risk. Disclaimer Past performance does not guarantee future results. This script is a tool for quantitative analysis and should be used as part of a broader diversified trading plan.
Pine Script®策略
由CocoChoco1提供
ATR-Based Z-Score (with Signal Line)The ATR-Based Z-Score is an advanced, volatility-normalized oscillator designed to identify extreme price deviations more reliably than the standard Z-Score. By replacing the traditional Standard Deviation with the Average True Range (ATR) in the denominator, this indicator eliminates the "volatility paradox" where rapid price spikes cause standard oscillators to prematurely return to zero, even as the price continues to crash. Why this version is superior In a classic Z-Score calculation: Z = (Price - SMA) / (Standard Deviation) A sudden impulsive price drop causes the Standard Deviation to explode. Because you are dividing by a rapidly increasing number, the Z-Score often "rises" while the price is still falling. The ATR-Based Solution: Z = (Price - SMA) / ATR By using a long-period ATR as the denominator, the volatility measure remains stable and "clean." This ensures that the indicator’s troughs align much more accurately with actual price bottoms, staying in the oversold territory until the momentum truly shifts. Key Features Volatility Cleaning: The ATR-normalization prevents the indicator from "flattening out" during impulsive price movements. Integrated Signal Line: A customizable Moving Average of the Z-Score values helps filter noise and confirms entry/exit points. Independent Periods: You can set the Price MA (responsiveness) and the ATR (volatility baseline) separately to fine-tune the indicator to different timeframes. How to Trade with it 1. Mean Reversion (Buy the Dip / Sell the Rip) Long: Wait for the Z-Score to drop below a significant level (e.g., -10.0). Enter when the Z-Score crosses back above its Signal Line. Short: Wait for the Z-Score to rise above +10.0 and enter when it crosses below the Signal Line. 2. Breakout Trading A strong push of the Z-Score beyond the +/- 7.0 levels can indicate a powerful trend breakout. In this case, the Signal Line crossover serves as an effective Exit Signal, telling you that the initial momentum of the breakout is fading. Summary ✅ This indicator is designed for traders who find standard oscillators too "nervous" during volatile periods. By decoupling price deviation from immediate variance spikes, the ATR-Based Z-Score provides a rock-solid foundation for identifying true market extremes and high-probability reversal points.
Pine Script®指標
由muth96提供
House Rules SuperTrend Strategy (ATR-Based, Non-Repainting)📝 DESCRIPTION Overview The House Rules SuperTrend Strategy is a clean, rule-based trading strategy built using Pine Script® v6. It is designed for transparent backtesting, non-repainting signals, and simple trend-following execution across all markets and timeframes. This strategy uses TradingView’s built-in SuperTrend indicator, which is derived from Average True Range (ATR), to identify trend direction changes and generate long and short trades. How the Strategy Works Long Entry A long position is opened when the SuperTrend flips from bearish to bullish This confirms a potential upward trend shift Short Entry A short position is opened when the SuperTrend flips from bullish to bearish This confirms a potential downward trend shift Exits Positions are closed when either: The opposite SuperTrend signal appears, or The ATR-based Stop Loss or Take Profit is reached (if enabled) All signals are calculated on confirmed candle closes only, ensuring accurate and fair backtesting. Risk Management Optional ATR-based Stop Loss Optional ATR-based Take Profit Position sizing based on percentage of equity Commission included for realistic performance results All parameters are user-adjustable from the settings panel. Backtesting & Transparency This is a strategy, not an indicator No repainting No future data usage No hidden filters No lookahead bias Fully compatible with TradingView’s Strategy Tester Users are encouraged to test different symbols, timeframes, and parameter values to suit their trading style. Recommended Use This strategy can be used on: Cryptocurrencies Forex Stocks Indices Futures It performs best in trending market conditions and may underperform during low-volatility or ranging markets. Disclaimer This script is provided for educational and research purposes only. It is not financial advice. Always test and validate strategies before using them in live trading.
Pine Script®策略
由JaxonJackFX提供
OrangePulse v3.0 Lite - Educational DCA StrategyThis open-source script is a simplified version of the OrangePulse algorithm, designed for educational purposes to demonstrate the power of Dollar Cost Averaging (DCA) and Mean Reversion. 📈 Strategy Logic: The script uses a combination of Bollinger Bands and RSI (Relative Strength Index) to identify potential mean reversion opportunities. - Entry: Triggered when price pushes below the lower Bollinger Band while RSI is in oversold territory. - Management: Utilizes up to 3 Safety Orders (DCA) to improve the average entry price during pullbacks. 🎯 Features: • Customizable Volume Scale and Step Scale for Safety Orders. • Visual AVG price line and TP/SL levels. • Time-window filter for backtesting. • Real-time Status Table for position monitoring. This script is shared in the spirit of open-source development on TradingView. It is intended to help traders understand how automated position building and risk management work in volatile markets. Check my profile status/bio for more information on our project. ⚠️ Disclaimer: For educational purposes only. Past performance does not guarantee future results.
Pine Script®策略
由OrangePulse提供
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex 🔍 Overview DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation. This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed. It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency. 🧠 Strategy Logic (How It Works) DkSPro follows a sequential decision process, not a single-indicator signal: Trend Bias (EMA Structure) A fast and slow EMA define the directional bias. Long trades are only allowed during bullish EMA alignment. Short trades are only allowed during bearish EMA alignment. This prevents counter-trend and ranging-market entries. Market Structure & Breakout Validation The strategy identifies recent swing highs and lows. Trades are triggered only after a confirmed breakout of structure, not during consolidation. This avoids early entries and false momentum moves. Volume Confirmation Volume must exceed its moving average by a defined multiplier. This ensures participation and filters out low-liquidity breakouts. Volume thresholds adapt depending on the selected trading mode. Momentum Confirmation (RSI) RSI is used strictly as a momentum filter, not as a standalone signal. It confirms that price movement aligns with the breakout direction. Risk Management (Mandatory) Every position includes a predefined Stop Loss and Take Profit. Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits. All conditions must align simultaneously; otherwise, no trade is executed. ⚙️ Trading Modes SAFE Mode Stronger volume and RSI thresholds Fewer trades, higher selectivity Designed for risk control and consistency AGGRESSIVE Mode Slightly relaxed filters Higher trade frequency during strong momentum Intended for experienced users only 📊 Markets & Assets This strategy has been actively used and tested on: 🟢 Crypto (Binance / Binance.US) SOL-USDT XRP-USDT Other high-liquidity pairs (BTC, ETH) Crypto mode benefits from stronger volume confirmation to adapt to higher volatility. 🔵 Forex Major pairs such as EURUSD, GBPUSD, USDJPY Optimized for liquid markets with lower relative volume The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class. ⏱ Recommended Timeframes Crypto: 5m – 15m Forex: 15m – 1H Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior. 🧪 Backtesting & Settings Transparency Default strategy properties are intentionally conservative to reflect realistic conditions: Initial capital: $20,000 Position size: 2% of equity Commission: 0.08% Slippage: 1 tick Fixed Stop Loss and Take Profit on every trade Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades). 📈 Originality & Usefulness DkSPro is not a simple indicator mashup. Each component serves a specific role in a layered confirmation system: EMAs define direction Structure defines timing Volume validates participation RSI confirms momentum Risk management controls exposure Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator. ⚠️ Important Notes This script is an analysis and execution tool, not financial advice. Market conditions change, and no strategy performs well in all environments. Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance. 🧩 Version Notice This publication represents a consolidated and refined version of an internal experimental script. No parallel or duplicate versions are intended. All future improvements will be released exclusively using TradingView’s Update feature. 🇪🇸 Descripción en Español (Resumen) DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo. Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar. Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Pine Script®策略
由dksniewieders提供
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops. How it Works: Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals. Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend. Liquidity Sweep Detection: A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward. A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes. ATR-Based Risk Management: Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5). Take profit is set based on a risk-reward ratio (default 2.5x). Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading. Inputs: Session Start/End (HHMM) Liquidity Lookback Period (number of bars to define prior high/low) ATR Length for stop calculation ATR Stop Multiplier Risk-Reward Ratio EMA Trend Filter Length Visuals: Prior Liquidity High (red) Prior Liquidity Low (green) EMA Trend (blue) Why Use This Strategy: Captures stop-hunt moves often triggered by larger market participants. Only trades with trend confirmation, reducing false signals. Provides automatic ATR-based stop loss and take profit for consistent risk management. Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style. Important Notes: Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker. Not financial advice; intended for educational, backtesting, or paper trading purposes. Always test strategies thoroughly before applying to live accounts.
Pine Script®策略
由AIScripts提供
Quality-Controlled Trend StrategyOverview This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management. Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior. All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution. Design intent Many scripts mix entries and exits in ways that make results fragile or misleading. This strategy focuses on structural clarity by enforcing: confirmed-bar logic only fixed and transparent risk handling consistent indicator calculations one position at a time It is intended as a baseline framework rather than an optimized system. Trading logic (high level) Trend context EMA 50 vs EMA 200 defines directional bias Entry Price alignment with EMA 50 RSI used as a momentum confirmation, not as an overbought/oversold signal Risk management Stop-loss based on ATR Fixed risk–reward structure Risk logic is isolated from entry logic Editing risk without affecting signals All stop-loss and take-profit calculations are handled in a dedicated block. Users can adjust: ATR length stop-loss multiplier risk–reward ratio without modifying entry conditions. This allows controlled experimentation while preserving signal integrity. Usage notes Results vary by market, timeframe, and volatility conditions. This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
Pine Script®策略
由AIScripts提供
Alpha Hunter Integrated MACD & Oscillator [wjdtks255]Indicator Title: Alpha Hunter Integrated MACD & Oscillator Pro Short Description A high-precision hybrid oscillator that integrates MACD dynamics with a secondary-smoothed histogram to eliminate market noise and capture trend reversals with minimal lag. Detailed Description Overview The Alpha Hunter Integrated MACD & Oscillator is designed to overcome the inherent lag of standard MACD indicators. By applying an exponential moving average (EMA) filter to the histogram itself and incorporating a momentum direction check, this tool identifies high-probability entry points while filtering out "whipsaws" commonly found in choppy markets. Key Technical Pillars Dual-Smoothed Histogram: Unlike standard oscillators, this script smooths the raw histogram values using a secondary filtering period. This reveals the true underlying momentum before price action fully shifts. Momentum Directional Filter: Entry signals are only triggered when the MACD line’s slope aligns with the crossover, ensuring you don't enter against a stalling trend. Dynamic Trend Clouds: The visual fill between the MACD and Signal lines acts as a "Trend Cloud," providing immediate visual feedback on the strength and duration of the current trend. The Winning Trading Strategy (How to Use) To maximize win rates, it is highly recommended to use this indicator as a Confirmation Oscillator alongside a Long-term Trend Filter (like a 200 EMA) on your main chart. 1. Long Setup (Buy) Context: Price must be trading above the 200 EMA on the main chart. Signal: A green "BUY" triangle and label appear on the oscillator. Confirmation: The Histogram should be green and rising. Exit: Exit at a pre-defined Take Profit (TP) box or when a bearish MACD crossunder occurs. 2. Short Setup (Sell) Context: Price must be trading below the 200 EMA on the main chart. Signal: A red "SELL" triangle and label appear on the oscillator. Confirmation: The Histogram should be red and falling. Exit: Exit at the designated Stop Loss (SL) or when a bullish MACD crossover occurs. Input Parameters & Optimization Fast/Slow/Signal: Default 12, 26, 9. (Standard for most markets). Signal Smoothing: Set to 5 for a balance of speed and reliability. Increase to 8+ for swing trading on higher timeframes. Recommended Timeframes: 15m, 1h, and 4h for the best signal-to-noise ratio. Author's Note This indicator is a "No-Repaint" script. Signals are confirmed at the close of the candle to ensure reliability during live trading. Always use proper risk management.
Pine Script®指標
由wjdtks255提供
5
ML-Inspired Adaptive Momentum Strategy (TradingView v6)This strategy demonstrates an adaptive momentum approach using volatility-normalized trend strength. It is designed for educational and analytical purposes and uses deterministic, fully transparent logic compatible with Pine Script v6. ML-Inspired Concept (Educational Context) Pine Script cannot train or execute real machine-learning models. Instead, this strategy demonstrates ML-style thinking by: Converting price data into features Normalizing features to account for volatility differences Producing a bounded confidence score Applying thresholds for decision making This is not predictive AI and does not claim forecasting capability. Strategy Logic EMA is used to measure directional bias EMA slope represents momentum change ATR normalizes the slope (feature scaling) A clamped score between −1 and +1 is generated Trades trigger only when the score exceeds defined thresholds Risk & Execution Position size capped at 5% equity Commission and slippage included for realistic testing Signals are calculated on closed bars only Purpose This script is intended to help traders explore adaptive momentum concepts and understand how feature normalization can be applied in systematic trading strategies.
Pine Script®策略
由AIScripts提供
VIOP Scalping - OriginalVIOP Scalping – Original is a rule-based scalping strategy ported from an original C# logic set. It aims to trade only when trend direction, momentum, and trend strength align, then manages the position using fixed take-profit/stop-loss percentages with an optional trailing mechanism to protect gains during favorable moves. This strategy is provided for educational and backtesting purposes only. It is not financial advice and does not guarantee profitability. Always test thoroughly before any live usage. Core Concept Follow the dominant WMA trend, confirm momentum with EMA separation, filter conditions with RSI + ADX, then exit using fixed TP/SL with trailing behavior after a defined profit threshold. How the Strategy Works Trend Direction is defined by WMA: above WMA = long bias, below WMA = short bias. Momentum is measured via Fast EMA vs Slow EMA and the EMA difference. Trend Strength is confirmed using ADX (must exceed a threshold). RSI filters trades to avoid entering when momentum is likely overextended or weak. A no-trade session blocks entries during a predefined time window (default 09:30–10:05). Exit logic uses fixed percent TP/SL, with an optional trailing mechanism that activates after a profit threshold. Inputs and Settings Trend and Indicator Settings Main Trend WMA: Determines directional bias (price above = long, price below = short). Fast EMA / Slow EMA: Used to measure momentum and directional separation. RSI Period: Filters entries based on RSI range constraints. ADX Period: Measures trend strength (must exceed threshold to allow entries). Threshold Settings EMA Difference Threshold: Minimum EMA separation required to validate momentum. ADX Threshold: Minimum ADX required to confirm trend strength. RSI Long Ceiling: RSI must remain below this value for long entries. RSI Short Floor: RSI must remain above this value for short entries. Risk Management Settings Take Profit %: Default TP distance in percent. Strong Trend Take Profit %: Higher TP used when a “strong trend” condition is detected. Stop Loss %: Fixed SL distance in percent. Trailing Activation %: Profit threshold at which trailing starts. Trailing Distance %: Trailing offset distance used once trailing is active. Time Filter No-Trade Hours: Default session is 09:30–10:05. During this window, the strategy does not open new trades. Entry Logic No-Trade Time Filter If the current bar falls inside the no-trade session, entries are blocked. Long Entry Conditions Price is above the WMA trend line. EMA difference is positive and greater than the EMA Difference Threshold. EMA momentum is increasing (current EMA diff > previous EMA diff). RSI is within the defined range (RSI > 48 and RSI < RSI Long Ceiling). Close is higher than the previous close. ADX is above the ADX Threshold. Short Entry Conditions Price is below the WMA trend line. EMA difference is negative and lower than -EMA Difference Threshold. Bearish momentum is increasing (current EMA diff < previous EMA diff). RSI is within the defined range (RSI < 52 and RSI > RSI Short Floor). Close is lower than the previous close. ADX is above the ADX Threshold. Strong Trend Logic (Dynamic TP Selection) If price is far from the WMA (absolute distance > 20 points) AND EMA separation is strong (absolute EMA diff > 1.5 points), the strategy treats the environment as a strong trend. In strong trend mode, the strategy uses “Strong Trend Take Profit %” instead of the default “Take Profit %”. Exit Management (TP/SL + Trailing) The strategy uses fixed percentage-based TP and SL levels. Trailing logic is enabled via strategy.exit and activates only after price moves in profit by the defined Trailing Activation %. Once activated, trailing follows price using the defined Trailing Distance % offset. This is designed to secure partial gains during extended moves while still allowing room for continuation. What You See on the Chart WMA Trend Line (Main Trend Filter). Fast EMA and Slow EMA (Momentum Confirmation). Strategy entry/exit markers generated by TradingView. Recommended Use Scalping systems that rely on trend-following and momentum confirmation. Markets where ADX filtering helps avoid choppy conditions. Traders who want a simple, parameter-driven TP/SL system with trailing after confirmation. Important Notes The no-trade session depends on your chart/session settings. Ensure your symbol/session configuration matches your intended market hours. Percent-based exits scale with price; results will vary across instruments and volatility regimes. Always validate behavior using bar replay, forward testing, and realistic commission/slippage assumptions.
Pine Script®策略
由mehmettopbas_提供
VIOP Scalping - ATR SNIPERVIOP Scalping – ATR SNIPER is a momentum-based scalping strategy designed to capture short, high-probability moves while keeping risk strictly defined using ATR-based stop-loss and fixed risk/reward targets. The strategy trades only when trend direction, momentum, and strength are aligned. This script is provided for educational and testing purposes only. It does not guarantee profitability and must be used with proper risk management. Core Idea Trade in the direction of the dominant trend, confirm momentum acceleration, and manage risk using ATR-based dynamic stops and targets. How the Strategy Works The main trend is defined using a Weighted Moving Average (WMA). Momentum is measured by the distance and direction between a fast EMA and a slow EMA. Trend strength is confirmed using ADX. RSI is used as a filter to avoid weak or overextended market conditions. Entries are blocked during a predefined no-trade time window to avoid high-noise periods. Long Entry Conditions Fast EMA is above Slow EMA and the EMA difference is greater than the minimum threshold. EMA momentum is increasing compared to the previous bar. RSI is within the user-defined long range. Current close is higher than the previous close. ADX is above the minimum strength threshold. Price is above the WMA trend line. The current bar is not inside the no-trade session. Short Entry Conditions Fast EMA is below Slow EMA and the EMA difference is below the negative threshold. Bearish EMA momentum is increasing. RSI is within the user-defined short range. Current close is lower than the previous close. ADX is above the minimum strength threshold. Price is below the WMA trend line. The current bar is not inside the no-trade session. Risk Management – ATR Sniper Logic Stop-loss distance is calculated as ATR multiplied by the ATR Multiplier. Take-profit distance is calculated using the defined Risk/Reward ratio. Stop-loss and take-profit levels are dynamically calculated per trade. Only one position can be open at any given time. What You See on the Chart Weighted Moving Average (WMA) trend line. Fast EMA and Slow EMA lines. Dynamic stop-loss line during active trades. Dynamic take-profit line during active trades. Recommended Use Intraday scalping on VİOP instruments. Momentum-based short-term trading. Traders who prefer rule-based systems with strict risk control. Always backtest and forward-test on your own instruments and timeframes before using this strategy in live markets.
Pine Script®策略
由mehmettopbas_提供
Prism Band Dynamics [JOAT]Prism Band Dynamics - Bollinger-Style Bands with Force Detection Introduction and Purpose Prism Band Dynamics is an open-source overlay indicator that creates dynamic Bollinger-style bands with an innovative "force detection" system. The core problem this indicator solves is that standard Bollinger Bands show volatility but don't indicate directional momentum. When all three band components (upper, lower, basis) move in the same direction, it indicates strong directional force that standard bands don't highlight. This indicator addresses that by detecting when all band components align directionally, providing a clear signal of market force. Why Force Detection Matters Standard Bollinger Bands expand and contract based on volatility, but they don't tell you about directional momentum. Force detection adds this dimension: 1. Bullish Force - Upper band, lower band, AND basis all moving up together. This indicates strong upward momentum where even the lower support level is rising. 2. Bearish Force - Upper band, lower band, AND basis all moving down together. This indicates strong downward momentum where even the upper resistance level is falling. 3. Neutral - Mixed movement indicates consolidation or uncertainty. How Force Detection Works bool upperUp = upper > upper bool lowerUp = lower > lower bool basisUp = basis > basis int forceFull = if upperUp and lowerUp and basisUp 1 // Bullish force else if upperDn and lowerDn and basisDn -1 // Bearish force else 0 // Neutral Additional Features Squeeze Detection - Identifies when band width contracts below threshold, often preceding large moves Gradient Fills - Color intensity reflects force strength Direction Change Arrows - Visual markers when force direction shifts Dashboard Information Force - Current force status (BULLISH/BEARISH/NEUTRAL) Position - Price location within bands (Upper/Mid/Lower Zone) Band Width - Current width percentage with expansion/contraction label Volatility - Squeeze status (SQUEEZE/NORMAL) Force Count - Bars since last force change How to Use This Indicator For Trend Following: 1. Enter long when force turns BULLISH 2. Enter short when force turns BEARISH 3. Exit or reduce when force turns NEUTRAL For Squeeze Breakouts: 1. Watch for SQUEEZE status in dashboard 2. Prepare for breakout in either direction 3. Enter when force confirms direction after squeeze For Mean Reversion: 1. Only trade mean-reversion when force is NEUTRAL 2. Avoid fading moves when force is active 3. Use band touches as entry points during neutral force Input Parameters Length (20) - Period for basis and standard deviation Multiplier (2.0) - Standard deviation multiplier for bands MA Type (SMA) - Basis calculation method Squeeze Threshold (0.5) - Band width percentage for squeeze detection Timeframe Recommendations 4H-Daily: Cleanest force signals 1H: Good balance of signals and reliability 15m: More signals but more noise Limitations Force detection can lag during rapid reversals Squeeze breakouts can fail (false breakouts) Works best in markets with clear trending/ranging phases Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. This indicator does not constitute financial advice. Force detection does not guarantee trend continuation. Always use proper risk management. - Made with passion by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供
End Of MooveINDICATOR: END OF MOOVE (EOM) 1. Overview The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history. --- 2. Core Logic & Calculation The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts. * Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections. * Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ). * Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events. --- 3. Adaptive Intelligence (Detection & Smoothing) The EOM adapts to different market conditions through its detection engine: 1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window. 2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes. --- 4. Visual Anatomy The interface uses a high-contrast design to highlight institutional exhaustion: * The Histogram: * Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure. * Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone. * The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line." * Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed. --- 5. How to Trade with EndOfMoove * Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended. * Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up. * Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity. --- 6. Technical Parameters * WVF Period: Controls the sensitivity of the raw volatility calculation. * Historical Max Period: Determines the depth of the statistical database (50 to 500 bars). * Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
Pine Script®指標
由AlchimistOfCrypto提供
15-Minute Squeeze Scalper (Traffic Light Edition)Overview This is a highly optimized version of the famous Squeeze Momentum Indicator, customized specifically for 15-minute scalping . While the original indicator is powerful, the default colors can be confusing for new traders. I have recoded this to function as a simple "Traffic Light" system to help you identify periods of inaction vs. periods of high-probability breakouts. How it Works This tool identifies when the market is "quiet" (low volatility) and getting ready to explode. It uses Bollinger Bands and Keltner Channels to measure this energy. The "Traffic Light" Visuals 🔴 RED Cross (Center Line): STOP / WAIT Meaning: The Squeeze is ON. The market is coiling tight. Action: Do not trade yet. Wait for the energy to release. The longer the line of red dots, the bigger the potential move. 🟢 GREEN Cross (Center Line): GO / ACTION Meaning: The Squeeze has FIRED. Volatility is expanding. Action: Look at the Histogram to determine the direction of the trade. 📊 Histogram Bars: Lime/Green: Bullish Momentum (Trade Long). Red/Maroon: Bearish Momentum (Trade Short). The 15-Minute Scalping Strategy Identify the Squeeze: Look for a series of Red Crosses on the zero line. Wait for the Fire: Wait for the first Green Cross to appear. Confirm Direction: If the Cross turns Green AND the Histogram is above zero: LONG. If the Cross turns Green AND the Histogram is below zero: SHORT. Alerts Included I have added custom alerts so you don't have to stare at the screen: "Squeeze Fired": Alerts you instantly when the Red Cross changes to Green. "Momentum Long/Short": Alerts you when momentum flips direction.
Pine Script®指標
由billal-kashif提供
Multi-indicator Signal Builder [Skyrexio]Overview Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis , making it a powerful toolkit for technical traders. Indicators Overview RSI (Relative Strength Index) Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale. Ultimate Oscillator (UO) Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences. Bollinger %B Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold). Moving Average (MA) Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers. ADX (Average Directional Index) Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend. Stochastic Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals. MACD (Moving Average Convergence/Divergence) Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers. PSAR (Parabolic SAR) Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR. MFI (Money Flow Index) Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold. CCI (Commodity Channel Index) Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe. Heikin Ashi A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends. TV Screener A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired. Unique Features Multi-Indicator Entry and Exit You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers. Single-Entry / Single-Exit with Intrabar SL/TP The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets. Time Window Filter Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading. Condition Table and Statistics A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc. Seamless Alerts and Automation • Configure alerts in TradingView using “Any alert() function call.” • The script sends JSON alert messages you can route to your own webhook. • The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges. Optional MA/PSAR Plots For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators. Methodology Multi-Indicator Entry Logic When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers. Single-Entry Intrabar SL/TP • One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close. • Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end. Exit Logic All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close. Time Filter Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval. Justification of Methodology Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals. Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios. Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots). Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods. How to Use Add the Script to Your Chart • In TradingView, open Indicators , search for “Multi-indicator Signal Builder” . • Click to add it to your chart. Configure Inputs • Time Filter: Set a start and end date for trades. • Alerts Messages: Input any JSON or text payload needed by your external service or bot. • Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry. • Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels. Set Up Alerts • In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script. • Entry Alert: Triggers on the script’s entry signal. • Close Alert: Triggers on the script’s close signal (or if SL/TP is hit). • Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker). Visual Reference • A condition table at the bottom summarizes active signals. • Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics. Backtesting Guidelines Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing. Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions. Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance. Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability. Example of statistic calculation Test Period: 2023-01-01 to 2025-12-31 Initial Capital: $1,000 Commission: 0.1%, Slippage ~5 ticks Trade Count: 680 (varies by strategy conditions) Win rate: 75.44% (varies by strategy conditions) Net Profit: +90.14% (varies by strategy conditions) Disclaimer This indicator is provided strictly for informational and educational purposes. It does not constitute financial or trading advice. Past performance never guarantees future results. Always test thoroughly in demo environments before using real capital. Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
Pine Script®指標
由Skyrexio提供
Quantum Reversal Detector [JOAT] Quantum Reversal Detector - Multi-Factor Reversal Probability Analysis Introduction and Purpose Quantum Reversal Detector is an open-source overlay indicator that combines multiple reversal detection methods into a unified probability-based framework. The core problem this indicator addresses is the unreliability of single-factor reversal signals. A price touching support means nothing without momentum confirmation; an RSI oversold reading means nothing without price structure context. This indicator solves that by requiring multiple independent factors to align before generating reversal signals, then expressing the result as a probability score rather than a binary signal. Why These Components Work Together The indicator combines five analytical approaches, each addressing a different aspect of reversal detection: 1. RSI Extremes - Identifies momentum exhaustion (overbought/oversold) 2. MACD Crossovers - Confirms momentum direction change 3. Support/Resistance Proximity - Ensures price is at a significant level 4. Multi-Depth Momentum - Analyzes momentum across multiple timeframes 5. Statistical Probability - Quantifies reversal likelihood using Bayesian updating These components are not randomly combined. Each filter catches reversals that others miss: RSI catches momentum exhaustion but misses structural reversals MACD catches momentum shifts but lags price action S/R proximity catches structural levels but ignores momentum Multi-depth momentum catches divergences across timeframes Probability scoring combines all factors into actionable confidence levels How the Detection System Works Step 1: Pattern Detection The indicator first identifies potential reversal conditions: // Check if price is at support/resistance float lowestLow = ta.lowest(low, period) float highestHigh = ta.highest(high, period) bool atSupport = low <= lowestLow * 1.002 bool atResistance = high >= highestHigh * 0.998 // Check RSI conditions float rsi = ta.rsi(close, 14) bool oversold = rsi < 30 bool overbought = rsi > 70 // Check MACD crossover float macd = ta.ema(close, 12) - ta.ema(close, 26) float signal = ta.ema(macd, 9) bool macdBullish = ta.crossover(macd, signal) bool macdBearish = ta.crossunder(macd, signal) // Combine for reversal detection if atSupport and oversold and macdBullish bullishReversal := true Step 2: Multi-Depth Momentum Analysis The indicator calculates momentum across multiple periods to detect divergences: calculateQuantumMomentum(series float price, simple int period, simple int depth) => float totalMomentum = 0.0 for i = 0 to depth - 1 int currentPeriod = period * (i + 1) float momentum = ta.roc(price, currentPeriod) totalMomentum += momentum totalMomentum / depth This creates a composite momentum reading that smooths out noise while preserving genuine momentum shifts. Step 3: Bayesian Probability Calculation The indicator uses Bayesian updating to calculate reversal probability: bayesianProbability(series float priorProb, series float likelihood, series float evidence) => float posterior = evidence > 0 ? (likelihood * priorProb) / evidence : priorProb math.min(math.max(posterior, 0.0), 1.0) The prior probability starts at 50% and updates based on: RSI extreme readings increase likelihood MACD crossovers increase likelihood S/R proximity increases likelihood Momentum divergence increases likelihood Step 4: Confidence Intervals Using Monte Carlo simulation concepts, the indicator estimates price distribution: monteCarloSimulation(series float price, series float volatility, simple int iterations) => float sumPrice = 0.0 float sumSqDiff = 0.0 for i = 0 to iterations - 1 float randomFactor = (i % 10 - 5) / 10.0 float simulatedPrice = price + volatility * randomFactor sumPrice += simulatedPrice float avgPrice = sumPrice / iterations // Calculate standard deviation for confidence intervals This provides 95% and 99% confidence bands around the current price. Signal Classification Signals are classified by confirmation level: Confirmed Reversal : Pattern detected for N consecutive bars (default 3) High Probability : Confirmed + Bayesian probability > 70% Ultra High Probability : High probability + PDF above average Dashboard Information The dashboard displays: Bayesian Probability - Updated reversal probability (0-100%) Quantum Momentum - Multi-depth momentum average RSI - Current RSI value with overbought/oversold status Volatility - Current ATR as percentage of price Reversal Signal - BULLISH, BEARISH, or NONE Divergence - Momentum divergence detection MACD - Current MACD histogram value S/R Zone - AT SUPPORT, AT RESISTANCE, or NEUTRAL 95% Confidence - Price range with 95% probability Bull/Bear Targets - ATR-based reversal targets Visual Elements Quantum Bands - ATR-based upper and lower channels Probability Field - Circle layers showing probability distribution Confidence Bands - 95% and 99% confidence interval circles Reversal Labels - REV markers at confirmed reversals High Probability Markers - Star diamonds at high probability setups Reversal Zones - Boxes around confirmed reversal areas Divergence Markers - Triangles at momentum divergences How to Use This Indicator For Reversal Trading: 1. Wait for Bayesian Probability to exceed 70% 2. Confirm price is at S/R zone (dashboard shows AT SUPPORT or AT RESISTANCE) 3. Check that RSI is in extreme territory (oversold for longs, overbought for shorts) 4. Enter when REV label appears with high probability marker For Risk Management: 1. Use the 95% confidence band as a stop-loss reference 2. Use Bull/Bear Targets for take-profit levels 3. Higher probability readings warrant larger position sizes For Filtering False Signals: 1. Increase Confirmation Bars to require more consecutive signals 2. Only trade when probability exceeds 70% 3. Require divergence confirmation for highest conviction Input Parameters Reversal Period (21) - Lookback for S/R and momentum calculations Quantum Depth (5) - Number of momentum layers for multi-depth analysis Confirmation Bars (3) - Consecutive bars required for confirmation Detection Sensitivity (1.2) - Band width and target multiplier Bayesian Probability (true) - Enable probability calculation Monte Carlo Simulation (true) - Enable confidence interval calculation Normal Distribution (true) - Enable PDF calculation Confidence Intervals (true) - Enable confidence bands Timeframe Recommendations 1H-4H: Best for swing trading reversals Daily: Fewer but more significant reversal signals 15m-30m: More signals, requires higher probability threshold Limitations Statistical concepts are simplified implementations for Pine Script Monte Carlo uses deterministic pseudo-random factors, not true randomness Bayesian probability uses simplified prior/likelihood model Reversal detection does not guarantee actual reversals will occur Confirmation bars add lag to signal generation Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied to understand how each component works. This indicator does not constitute financial advice. Reversal detection is probabilistic, not predictive. The probability scores represent statistical likelihood based on historical patterns, not guaranteed outcomes. Past performance does not guarantee future results. Always use proper risk management, position sizing, and stop-losses. - Made with passion by officialjackofalltrades
Pine Script®指標
由officialjackofalltrades提供