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Time Syndicate: Sweep & ShiftTime Syndicate: Sweep & Shift The Hierarchy of Time. Most traders look at price and wonder "where." Time Syndicate asks "when." This system is a paradigm shift away from lagging indicators. It is built on a proprietary temporal engine that mathematically divides market activity into predictive windows of opportunity. It does not guess; it waits for the market to reveal its hand at specific, algorithmically determined intervals. Core Capabilities 100% Non-Repainting Logic: Built for professional reliability. Unlike tools that rewrite history to look perfect in hindsight, this strategy features Absolute Signal Permanence. Once a signal is confirmed and the bar closes, it never vanishes or shifts. What you see live is exactly what remains, ensuring that your backtesting reality matches your live execution. Temporal Segmentation: The indicator ignores noise by isolating price action into a rigid, non-linear time hierarchy. It automatically detects when the market is in a "Reference Phase" versus an "Expansion Phase," keeping you out of the chop and aligning you with institutional volatility. Algorithmic Bias Detection: Forget drawing manual support and resistance. The system utilizes a dynamic, time-weighted volatility model to determine the immediate directional bias. It identifies exactly when liquidity has been harvested and when the smart money is committing to a direction. Fractal Confirmation Engine: A bias is nothing without timing. The "Shift" mechanism is a secondary confirmation layer that monitors sub-structural price delivery. It validates that the momentum matches the time cycle, ensuring you only execute when Time, Price, and Structure are in perfect confluence. Adaptive Cycle Modes: Whether you are positioning for macro moves or scalp executions, the system adapts its internal clock to your objective: Daily Mode: For capturing significant intraday expansions. Session (Indian Market): A bespoke calibration tuned specifically to the volatility signature of the Indian trading session. 90-Min (Scalp): High-frequency cycle detection for rapid precision plays. Discipline Protocols: Built-in execution filters prevent over-trading by locking signals once a cycle objective is met. This enforces a "sniper" mentality—one trigger, one cycle, zero noise. Stop chasing candles. Start trading Time.
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akshaykiriti1443의
Titan EMA Liquidity [Stansbooth] 🔥 Precision EMA + FVG Liquidity Sweep System Advanced Buy/Sell Signal Engine for High-Probability Trade Entries Unlock a new level of precision with this all-in-one market structure indicator built for traders who demand accuracy, clarity, and confidence. This tool combines EMA trend filtration , Fair Value Gap (FVG) detection , and liquidity sweep analysis to deliver powerful buy and sell signals that align with institutional price behavior. ✅ Key Features Dynamic EMA Trend Filter: Identifies true trend direction and filters out low-quality trades. Signals only trigger when momentum aligns with higher-timeframe directional bias. Smart FVG Detection: Automatically highlights bullish and bearish Fair Value Gaps, helping you spot premium/discount zones where institutional traders seek entries. Liquidity Sweep Identification: Detects equal highs/lows, stop hunts, and engineered liquidity grabs—then confirms reversals when price sweeps liquidity and returns inside structure. High-Accuracy Signal Engine: Buy/Sell alerts trigger only when three layers agree: 1. EMA trend alignment 2. FVG confirmation 3. Liquidity sweep completion This results in cleaner signals , fewer false entries, and strong trend continuation setups. Optimized for All Market Conditions: Works for scalping, day trading, and swing trading across Forex, Crypto, Indices, and Stocks. What This Indicator Helps You Achieve Capture smart-money style entries with reduced drawdown Enter after liquidity grabs instead of before them Avoid chop with EMA-filtered market direction Spot precision premium/discount zones using automatic FVG mapping Obtain high-confidence Buy/Sell signals based on institutional concept Why Traders Love It This system isn’t just another signal generator—it’s a market-structure aware model that reads the chart the same way professional traders do. Every signal is based on probability stacking , giving you the clarity and confidence to take the best setups while ignoring noise.
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stans_booth의
Dual MTF Confirmed Trend Strategy (5m Entry / 15m MACD & RSI) v1That is a detailed Dual Multi-Timeframe (MTF) Confirmed Trend Strategy written in Pine Script for TradingView. The core idea of this strategy is to only take entry signals on a faster timeframe (5-minute) when the trend is strongly confirmed on a slower, higher timeframe (15-minute). This aims to reduce false signals and trade in the direction of the dominant trend. Here is an explanation of how the strategy works, broken down by section: 1. 5-Minute Entry Filters 🚀This section calculates several indicators on the current 5-minute chart to identify potential trade setups. A position is only considered if all 5-minute conditions align. Supertrend: A trend-following indicator based on Average True Range (ATR). Long Condition: The closing price must be above the Supertrend line. Short Condition: The closing price must be below the Supertrend line. Gann Hi-Lo (GHL): A trend indicator using Simple Moving Averages (SMA) of the high and low prices. GHL Line: Switches between the SMA of the Highs and the SMA of the Lows based on price action. Long Condition: The closing price must be above the GHL line. Short Condition: The closing price must be below the GHL line. Exponential Moving Averages (EMAs): It uses a 50-period EMA and a 100-period EMA to confirm the short-term trend direction. Long Condition: The closing price must be above both the 50 EMA and the 100 EMA. Short Condition: The closing price must be below both the 50 EMA and the 100 EMA. 2. 15-Minute MTF Confirmation Filters ⏳This is the crucial step where the strategy verifies the trend on the slower, 15-minute timeframe using the request security function. This step acts as a gatekeeper to ensure the 5-minute trade aligns with the larger trend. MACD Histogram (12, 26, 9): The difference between the MACD Line and the Signal Line. Long Confirmation: The 15m MACD Histogram must be greater than 0 (MACD line is above the Signal line, indicating bullish momentum). Short Confirmation: The 15m MACD Histogram must be less than 0 (MACD line is below the Signal line, indicating bearish momentum). RSI (Relative Strength Index) (14): A momentum oscillator. The 50 level is often used to determine the general market trend. Long Confirmation: The 15m RSI must be greater than 50 (indicating stronger bullish momentum). Short Confirmation: The 15m RSI must be less than 50 (indicating stronger bearish momentum). The Total 15m Confirmation is only true if both the MACD and the RSI confirmation signals align. 3. Trade Orders (Entry Logic) ⚖️ The strategy only executes a trade when the 5-minute entry conditions are met AND the 15-minute confirmation conditions are met. Final Long Condition: 5m Conditions (Supertrend, GHL, EMA alignment) AND 15m Confirmation (MACD Hist > 0 AND RSI > 50) Final Short Condition: 5m Conditions (Supertrend, GHL, EMA alignment) AND 15m Confirmation (MACD Hist < 0 AND RSI < 50) When a trade signal is generated, the strategy: Closes any opposite position (e.g., closes a "Short" trade if a "Long" signal appears). Enters the new position (e.g., enters a "Long" trade). This is designed as a reversal strategy where a new entry automatically closes the previous opposing trade. In Summary The strategy operates on a principle of Trend Alignment: 5-Minute Chart: Is used for Signal Timing (when exactly to enter the market). 15-Minute Chart: Is used for Trend Validation (is the overall market momentum supporting the signal?). It's an attempt to capture short-term moves (5m signals) that are backed by strong medium-term momentum (15m confirmation), thereby aiming for higher probability trades. This is not investment advice; it is recommended to perform optimization and backtesting for the assets intended for implementation.
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mhakany의
BTC BRD – Bullet-Proof Reversal StrategyBTC BRD – Bullet-Proof Reversal Strategy is a price-action based reversal system that turns your existing “Bullet-Proof Reversal Detector” into a fully backtestable TradingView strategy with built-in risk management. It is designed to catch clean swing reversals using pure market structure, then automatically place stop-loss and take-profit orders based on your preferred risk-reward settings. ## Core concept The strategy identifies true swing highs and lows using pivots and then waits for a clear market structure shift before entering any trade. It looks for a higher low followed by a break of structure for longs, and a lower high followed by a break of structure for shorts, helping filter out many random spikes and fakeouts. This makes it suitable for traders who prefer clean, rule-based entries grounded in market structure rather than noisy, indicator-heavy setups. ## Entries and exits - Long trades are triggered after a bullish higher-low plus a confirmed break above the last swing high. - Short trades are triggered after a bearish lower-high plus a confirmed break below the last swing low. - Every position is protected with an automatic stop-loss and a calculated take-profit, so each trade has a predefined risk and reward from the moment it is opened. ## Risk management The strategy lets you control your risk with a configurable risk-reward ratio (RR) and flexible stop-loss options. You can choose between an ATR-based stop (ATR × multiplier) or a fixed percentage stop relative to the entry price. Once the stop distance is known, the take-profit level is automatically derived from your RR value, making trade sizing and evaluation more consistent across different pairs and timeframes. ## Use cases and recommendations This script is ideal for swing and intraday traders who want to systematically test market-structure reversals on assets like Bitcoin or other volatile instruments. For best results, experiment with different timeframes and ATR/percentage settings, and always validate performance using the Strategy Tester before deploying it on live markets. Remember that no strategy is guaranteed to be profitable, so use proper risk management and adapt settings to your own style and risk tolerance.
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neverstop_dd의
Retracement Strategy [OmegaTools]Retracement Strategy is a systematic trend–retracement framework designed to identify directional opportunities after a confirmed momentum shift, and to manage exits using either trend reversals or overextension conditions. It is built around a smoothed RSI regime filter and a simple, price-based retracement trigger, making it applicable across a wide range of markets and timeframes while remaining transparent and easy to interpret. The strategy begins by defining the underlying trend through a two-stage RSI signal. A standard RSI is computed over the user-defined Length input, then smoothed with a short moving average to reduce noise. Two symmetric thresholds are derived from the Threshold parameter: an upper band at 100 minus the threshold and a lower band at the threshold itself. When the smoothed RSI crosses above the upper band, the environment is classified as bullish and the internal trend state is set to uptrend. When the smoothed RSI crosses below the lower band, the environment is classified as bearish and the trend state becomes downtrend. When RSI moves back into the central zone between the two bands, the trend is considered neutral. In addition to the current trend, the strategy tracks the last non-neutral trend direction, which is used to detect genuine trend changes rather than transient oscillations. Once a trend is established, the strategy looks for retracement entries in the direction of that trend. For long setups in an uptrend, it computes the lowest low over the previous Length minus one bars, excluding the current bar. A long signal is generated when price dips below this recent low while the trend state remains bullish. Symmetrically, for short setups in a downtrend, it computes the highest high over the previous Length minus one bars and enters short when price spikes above this recent high while the trend state remains bearish. This logic is designed to capture pullbacks against the prevailing RSI-defined trend, entering when the market tests or slightly violates recent extremes, rather than chasing breakouts. The candles are visually coloured to reflect the detected trend, highlighting bullish and bearish environments while keeping neutral phases distinguishable on the chart. An ATR-based measure is used solely to position the “UP” and “DN” labels on the chart for clearer visualisation of entry points; it does not directly influence position sizing or stop calculation in this implementation. Take profit and stop loss behaviour are fully parameterized through the “Take Profit” and “Stop Loss” inputs, each offering three modes: None, Trend Change and Extension. When “Trend Change” is selected for the take profit, the strategy will only exit profitable positions when a confirmed trend reversal occurs. For a long position, this means that the strategy will close the trade when the trend state flips from uptrend to downtrend, and the last recorded trend direction validates that this is a genuine reversal rather than a neutral fluctuation; the same logic applies symmetrically for short positions. When “Extension” is selected as the take profit mode, the strategy closes profitable long trades when the smoothed RSI reaches or exceeds the upper threshold, interpreted as an overbought extension within the bullish regime, and closes profitable short trades when the smoothed RSI falls to or below the lower threshold, interpreted as an oversold extension within the bearish regime. When “None” is chosen, the strategy does not apply any explicit take profit logic, leaving trades to be managed by the stop loss settings or by user discretion in backtesting. The stop loss parameter works in a parallel way. With “Trend Change” selected as stop loss, any open long position is closed when the trend flips from uptrend to downtrend, regardless of whether the trade is currently in profit or loss, and any open short is closed when the trend flips from downtrend to uptrend. This turns the RSI trend regime into a hard invalidation rule: once the underlying momentum structure reverses, the position is exited. With “Extension” selected for stop loss, long positions are closed when RSI falls back below the upper band and moves towards the opposite side of the range, while short positions are closed when RSI rises above the lower band and moves towards the upper side. In practice, this acts as a dynamic exit based on the oscillator moving out of a favourable context for the existing trade. Selecting “None” for stop loss disables these automatic exits, leaving only the take profit logic, if any, to manage the position. Because take profit and stop loss configuration are independent, the user can construct different profiles, such as pure trend-change exits on both sides, pure overextension exits, or a mix (for example, take profit on overextension and stop loss on trend reversal). This strategy is designed as an analytical and backtesting framework rather than a finished plug-and-play trading system. It does not include position sizing, risk-per-trade controls, multi-timeframe confirmation, volatility filters or instrument-specific fine-tuning. Its primary purpose is to provide a clear, rule-based structure for testing retracement logic within RSI-defined trends, and to allow users to explore how different exit regimes (trend-change based versus extension based) affect performance on their instruments and timeframes of interest. Nothing in this script or its description should be interpreted as financial advice, investment recommendation or solicitation to buy or sell any financial instrument. Past performance on backtests does not guarantee future results. The behaviour of this strategy can vary significantly across symbols, timeframes and market conditions, and correlations, volatility and liquidity can change without warning. Before considering any live application, users should thoroughly backtest and forward test the strategy on their own data, adjust parameters to their risk profile and instrument characteristics, and integrate proper money management and trade management rules. Use of this script is entirely at the user’s own risk.
Pine Script™ 전략
OmegaTools의
BTR Auto Buy/Sell Trend System BTR Auto Buy/Sell Trend System — Your New Profit Machine! Discover the only TradingView system you need to spot powerful trend reversals with precision, confidence, and automation. Designed for Stocks, Crypto & Commodities, this strategy consistently delivers 60%–80% accuracy in trending markets. This is not just a script… 👉 It’s your complete plug-and-play trading system. 💡 Why Traders Love This System ✔ Early Trend Identification Catch major reversals before the crowd. ✔ Non-Repainting Confirmed Signals All entries are triggered only on candle close, so what you see is what you trade. ✔ Smart ATR + Momentum Engine Filters bad trades automatically, giving you only high-quality signals. ✔ Works on All Timeframes From 5-minute scalping to daily swing trading. ✔ Full Auto-Trading Ready Pre-built JSON alerts for API Algo Trading. No coding. No setup headache. Just copy → paste → trade. ⚡ How You Make Money With This Strategy Step 1: Wait for Trend Flip 🔵 BUY when the system flips from bearish → bullish 🔴 SELL when it flips from bullish → bearish Step 2: Enter on Confirmed Signal Trade only on the bar after signal closes. Step 3: Ride the Trend Let the strategy take the move. It avoids sideways markets and shines in strong trends. Step 4: Auto Alerts (Optional) Turn on Dhan alerts and let the system execute trades automatically. 📈 What You Can Expect (Typical Performance) ✔ 60–80% success rate in trending markets ✔ Works in Stocks, Crypto, Commodities ✔ High accuracy in 15m, 30m, 1H, 4H charts ✔ Avoids most fake breakouts & sideways noise This system is built for consistency, simplicity, and scalable automation. ⭐ Perfect For: Beginner traders Algo traders Swing traders Scalpers Systematic API users Anyone who wants clean, high-probability trend signals ⚠ Disclaimer Trading involves risk. Past results do not guarantee future returns. Use proper risk management for best results.
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Adijohn의
Multi-Mode Grid StrategyGrid Strategy (SIMPLE) █ Overview This script is a system trading tool designed to generate cash flow from market volatility without relying on short-term directional predictions. It operates on the principle of Grid Trading , creating a mesh of buy and sell orders within a user-defined price range. The strategy automates the process of "buying the dip" and "selling the bounce" repeatedly. It is most effective in sideways markets or during accumulation phases where the price oscillates within a specific channel. █ TRADING MINDSET & SETUP GUIDE To use this tool effectively, you must shift your perspective from "Sniper" (trying to hit the perfect entry) to "Manager" (managing a zone). Here is the required mindset for setting up this strategy: Shift from Prediction to Range Definition Don't ask: "Will the price go up or down tomorrow?" Ask instead: "What is the price range the asset is unlikely to break out of in the coming weeks?" Your primary job is to define the Grid Top Price (Ceiling) and Grid Bottom Price (Floor). As long as the price stays within this "Arena," the strategy will continue to execute trades. Embrace Volatility as Fuel For a trend follower, chop/sideways action is a nightmare. For a Grid Trader, it is fuel. Every time the price crosses a grid line down, it builds inventory. Every time it crosses back up, it realizes profit. You want the price to wiggle as much as possible within your defined boundaries. Capital Allocation & Survivability The biggest risk in grid trading is the price crashing below your Grid Bottom Price . Mindset Check: Before launching, assume the price WILL drop to your bottom price immediately. Can your account handle that drawdown? The script includes leverage and capital percentage inputs to help you size your position correctly. Never allocate 100% of your capital to a tight range without understanding the liquidation risk. █ HOW IT WORKS Grid Construction: The script divides the space between your Upper Border and Lower Border into specific levels based on the Grid Quantity . - Arithmetic: Equal spacing between lines (Standard). - Geometric: Spacing based on mathematical ratios (useful for wider ranges). Execution Logic: - Entry: When price crosses below a grid line, a Long position is opened. - Exit: When price bounces back up by a specific number of grid levels (defined by "Distance of TP"), the specific position is closed for a profit. Time & Backtesting: You can set specific Start and End Times . This allows you to backtest how the grid would have performed during specific historical volatility events before deploying it on live markets. █ VISUALIZATION DASHBOARD To keep you informed without cluttering the chart, the script features an information table at the bottom right: Cash Out: Total realized profit booked into the account. Open Position: How many grid levels are currently active (holding bags) vs. total levels. Open Trade: The current floating P/L of held positions (Unrealized). Max Drawdown: The deepest drawdown the strategy experienced during the test period. RISK DISCLAIMER Grid trading involves significant risk, particularly in strong trending markets that break out of your range against your position. This strategy does not use a stop-loss per trade; it relies on the user defining a safe "Bottom Price" and allocating capital accordingly. Past performance in backtesting does not guarantee future results. This script is a tool for execution and analysis, not financial advice.
Pine Script™ 전략
MASTERTOP_ASTRAY의
Stratégie SMC V18.2 (BTC/EUR FINAL R3 - Tendance)This strategy is an automated implementation of Smart Money Concepts (SMC), designed to operate on the Bitcoin/Euro (BTC/EUR) chart using the 15-minute Timeframe (M15).It focuses on identifying high-probability zones (Order Blocks) after a confirmed Break of Structure (BOS) and a Liquidity Sweep, utilizing an H1/EMA 200 trend filter to only execute trades in the direction of the dominant market flow.Risk management is strict: every trade uses a fixed Risk-to-Reward Ratio (R:R) of 1:3.🧱 Core Logic Components 1. Trend Filter (H1/EMA 200)Objective: To avoid counter-trend entries, which has allowed the success rate to increase to nearly $65\%$ in backtests.Mechanism: A $200$-period EMA is plotted on a higher timeframe (Default: H1/60 minutes).Long (Buy): Entry is only permitted if the current price (M15) is above the trend EMA.Short (Sell): Entry is only permitted if the current price (M15) is below the trend EMA. 2. Order Block (OB) DetectionA potential Order Block is identified on the previous candle if it is accompanied by an inefficiency (FVG - Fair Value Gap). 3. Advanced SMC ValidationBOS (Break of Structure): A recent BOS must be confirmed by breaking the swing high/low defined by the swing length (Default: 4 M15 candles).Liquidity (Liquidity Sweep): The Order Block zone must have swept recent liquidity (defined by the Liquidity Search Length) within a certain tolerance (Default: $0.1\%$).Point of Interest: The OB must form in a premium zone (for shorts) or a discount zone (for longs) relative to the current swing range (above or below the $50\%$ level of the range). 4. Execution and Risk ManagementEntry: The trade is triggered when the price touches the active Order Block (mitigation).Stop Loss (SL): The SL is fixed at the low of the OB (for longs) or the high of the OB (for shorts).Take Profit (TP): The TP is strictly set at a level corresponding to 3 times the SL distance (R:R 1:3).Lot Sizing: The trade quantity is calculated to risk a fixed amount (Default: 2.00 Euros) per transaction, capped by a Lot Max and Lot Min defined by the user. Input Parameters (Optimized for BTC/EUR M15)Users can adjust these parameters to modify sensitivity and risk profile. The default values are those optimized for the high-performing backtest (Profit Factor $> 3$).ParameterDescriptionDefault Value (M15)Long. Swing (BOS)Candle length used to define the swing (and thus the BOS).4Long. Recherche Liq.Number of candles to scan to confirm a liquidity sweep.7Tolérance Liq. (%)Price tolerance to validate the liquidity sweep (as a percentage of price).0.1Timeframe TendanceChart timeframe used for the EMA filter (e.g., 60 = H1).60 (H1)Longueur EMA TendancePeriods used for the trend EMA.200Lot Max (Quantité Max BTC)Maximum quantity of BTC the strategy is allowed to trade.0.01Lot Min Réel (Exigence Broker)Minimum quantity required by the broker/exchange.0.00001
Pine Script™ 전략
rico2956의
Supercombine BreakoutSupercombine Breakout combines an adaptive EMA volatility channel with ATR-powered take profits and stops to capture sharp breakouts and avoid noisy chop. One position at a time, clear rules, and fully parameterized so you can tune it to your market and timeframe. How to Use Apply to trending or breakout-friendly markets (indices, majors, strong trends). Tune lookback and multiplier to match volatility and timeframe. ATR settings let you tighten or relax TP/SL behavior. For live trading, consider adding: Time filters (sessions), Higher-timeframe trend filters, Volume or confirmation signals.
Pine Script™ 전략
BestTraderAnakin의
EMA 12-26-100 Momentum Strategy# Triple EMA Multi-Signal Momentum Strategy ## 📊 Overview **Triple EMA Multi-Signal** is a comprehensive trend-following momentum strategy designed specifically for cryptocurrency markets. It combines multiple technical indicators and signal types to identify high-probability trading opportunities while maintaining strict risk management protocols. The strategy excels in trending markets and uses adaptive position sizing with trailing stops to maximize profits during strong trends while protecting capital during choppy conditions. ## 🎯 Core Algorithm ### Triple EMA System The strategy employs a three-layer EMA system to identify trend direction and strength: - **Fast EMA (12)**: Quick response to price changes - **Slow EMA (26)**: Confirmation of trend direction - **Trend EMA (100)**: Overall market bias filter Trades are only taken when all three EMAs align in the same direction, ensuring we trade with the dominant trend. ### Multi-Signal Confirmation (8 Signal Types) The strategy requires at least 1-2 confirmed signals from multiple independent sources before entering a position: 1. **EMA Crossover** - Fast EMA crossing Slow EMA (primary signal) 2. **MACD Cross** - MACD line crossing signal line (momentum confirmation) 3. **RSI Reversal** - RSI bouncing from oversold/overbought zones 4. **Price Action** - Strong bullish/bearish candles (>60% of range) 5. **Volume Spike** - Above-average volume confirmation 6. **Breakout** - Price breaking 20-period high/low with volume 7. **Pullback to EMA** - Trend continuation after healthy retracement 8. **Bollinger Bounce** - Price bouncing from BB bands This multi-signal approach significantly reduces false signals and improves win rate. ## 💰 Risk Management ### Position Sizing - Default: 20-25% of equity per trade - Adjustable based on risk tolerance - Smaller positions recommended for leveraged trading ### Stop Loss & Take Profit - **Stop Loss**: 2.0% (tight control of risk) - **Take Profit**: 5.5% (2.75:1 reward-to-risk ratio) - Both levels are fixed at entry to avoid emotional decisions ### Trailing Stop System - Activates after 1.8% profit - Trails at 1.3% below current price - Locks in profits during extended trends - Automatically adjusts as price moves in your favor ### Maximum Hold Time - 36-48 hours maximum (configurable) - Designed to minimize funding rate costs on futures - Forces position closure to avoid excessive exposure - Helps maintain capital velocity ## 📈 Key Features ### Trend Filters - **ADX Filter**: Ensures sufficient trend strength (threshold: 20) - **EMA Alignment**: All three EMAs must confirm trend direction - **RSI Boundaries**: Avoids extreme overbought/oversold entries ### Volume Analysis - Volume must exceed 20-period moving average - Configurable multiplier (default: 1.0x) - Helps identify institutional participation ### Automatic Exit Conditions 1. Take Profit target reached 2. Stop Loss triggered 3. Trailing stop activated 4. Trend reversal (EMA cross in opposite direction) 5. Maximum hold time exceeded ## 🎮 Recommended Settings ### For Spot Trading (Conservative) ``` Position Size: 15-20% Stop Loss: 2.5% Take Profit: 6.0% Max Hold: 72 hours Leverage: 1x ``` ### For Futures 3-5x Leverage (Balanced) ``` Position Size: 12-15% Stop Loss: 2.0% Take Profit: 5.5% Max Hold: 36 hours Trailing: Active ``` ### For Aggressive Trading 5-10x (High Risk) ``` Position Size: 8-12% Stop Loss: 1.5% Take Profit: 4.5% Max Hold: 24 hours ADX Filter: Disabled ``` ## 📊 Performance Metrics ### Backtested Results (BTC/USDT 1H, 2 years) - **Total Return**: ~19% (spot) / ~75% (5x leverage)* - **Total Trades**: 240-300 - **Win Rate**: 49-52% - **Profit Factor**: 1.25-1.50 - **Max Drawdown**: ~18-22% - **Average Trade**: 0.5-3 days *Leverage results exclude funding rates and real-world slippage ### Optimal Timeframes - **1 Hour**: Best for active trading (recommended) - **4 Hour**: More stable, fewer signals - **15 Min**: High frequency (requires monitoring) ### Best Performing Assets - BTC/USDT (most tested) - ETH/USDT - Major altcoins with good liquidity - Not recommended for low-cap or illiquid pairs ## ⚙️ How to Use 1. **Add to Chart**: Apply strategy to 1H BTC/USDT chart 2. **Adjust Settings**: Configure risk parameters based on your preference 3. **Review Signals**: Green = Long, Red = Short, labels show signal count 4. **Monitor Performance**: Check strategy tester for detailed statistics 5. **Optimize**: Use strategy optimization to find best parameters for your market ## 🎨 Visual Indicators The strategy provides clear visual feedback: - **EMA Lines**: Blue (Fast), Red (Slow), Orange (Trend) - **BUY/SELL Labels**: Show entry points with signal count - **Stop/Target Lines**: Red (SL), Green (TP) displayed during active trades - **Background Color**: Light green (long), light red (short) when in position - **Info Panel**: Shows current trend, RSI, ADX, and volume status ## ⚠️ Important Notes ### Risk Disclaimer - This strategy is for educational purposes only - Past performance does not guarantee future results - Cryptocurrency trading involves substantial risk - Only trade with capital you can afford to lose - Always use proper position sizing and risk management ### Limitations - Performs poorly in sideways/choppy markets - Requires sufficient liquidity for best execution - Backtests do not include: - Real-world slippage (especially during volatility) - Funding rates (for perpetual futures) - Exchange downtime or connection issues - Emotional trading decisions ### For Futures Trading If using this strategy on futures with leverage: - Reduce position size proportionally to leverage - Account for funding rates (~0.01% per 8h) - Set max hold time to minimize funding costs - Use lower leverage (3-5x max recommended) - Monitor liquidation price carefully ## 🔧 Customization All parameters are fully customizable: - EMA periods (fast/slow/trend) - MACD settings (12/26/9) - RSI levels (30/70) - Stop Loss / Take Profit percentages - Trailing stop activation and offset - Volume multiplier - ADX threshold - Maximum hold time ## 📚 Strategy Logic The strategy follows this decision tree: ``` 1. Check Trend Direction (EMA alignment) ↓ 2. Scan for Entry Signals (8 types) ↓ 3. Confirm with Filters (ADX, Volume, RSI) ↓ 4. Enter Position with Fixed SL/TP ↓ 5. Monitor for Exit Conditions: - TP Hit → Close with profit - SL Hit → Close with loss - Trailing Active → Follow price - Trend Reversal → Close position - Max Time → Force close ``` ## 🎓 Best Practices 1. **Start Conservative**: Use smaller position sizes initially 2. **Track Performance**: Monitor actual vs backtested results 3. **Optimize Regularly**: Market conditions change, adapt parameters 4. **Combine with Analysis**: Don't rely solely on automated signals 5. **Manage Emotions**: Stick to the system, avoid manual overrides 6. **Paper Trade First**: Test on demo before risking real capital ## 📞 Support & Updates This strategy is actively maintained and updated based on: - Market condition changes - User feedback and suggestions - Performance optimization - Bug fixes and improvements ## 🏆 Conclusion Triple EMA Multi-Signal Strategy offers a robust, systematic approach to cryptocurrency trading by combining trend following, momentum indicators, and strict risk management. Its multi-signal confirmation system helps filter false signals while the trailing stop mechanism captures extended trends. The strategy is suitable for both manual traders looking for high-probability setups and algorithmic traders seeking a proven systematic approach. **Remember**: No strategy wins 100% of the time. Success comes from consistent application, proper risk management, and continuous adaptation to changing market conditions. --- *Version: 1.0* *Last Updated: November 2025* *Tested on: BTC/USDT, ETH/USDT (1H, 4H timeframes)* *Recommended Capital: $5,000+ for optimal position sizing*
Pine Script™ 전략
RomanEnlil의
RC - Crypto Scalper v3Cryptocurrency scalping strategy for perpetual futures with risk management and automation capabilities. ## Strategy Overview This strategy identifies high-probability scalping opportunities in cryptocurrency perpetual futures markets using adaptive position sizing, dynamic stop losses, and intelligent exit management to maintain consistent risk-adjusted returns across varying market conditions. ## Technical Foundation The strategy employs exponential moving averages for trend detection, Bollinger Bands for volatility measurement and mean reversion signals, RSI for momentum confirmation and overbought/oversold conditions, ATR for dynamic volatility-based stop placement, and VWAP for institutional price level identification. These technical indicators are combined with volume analysis and optional multi-timeframe confirmation to filter low-probability setups. ## Entry Methodology The strategy identifies trading opportunities using three complementary approaches that can be enabled individually or in combination: Momentum-Based Entries: Detects directional price movements aligned with short-term and intermediate-term trend indicators, with momentum oscillator confirmation to avoid entries at exhaustion points. Volume analysis provides additional confirmation of institutional participation. Mean Reversion Entries: Identifies price extremes using statistical volatility bands combined with momentum divergence, targeting high-probability reversal zones in ranging market conditions. Entries require initial price structure confirmation to reduce false signals. Institutional Flow Entries: Monitors volume-weighted price levels to identify areas where institutional orders are likely concentrated, entering on confirmed breaks of these key levels with supporting directional bias from trend indicators. Each methodology uses distinct combinations of the technical indicators mentioned above, with specific parameter relationships and confirmation requirements that can be customized based on trader preference and market conditions. ## Exit Framework Adaptive Stop Loss: Uses ATR-based stops (default 0.7x multiplier on 14-period ATR) that automatically adjust to current market volatility. Stop distance expands during volatile periods to avoid premature stops while tightening during consolidation to protect capital. Alternative percentage-based stops available for traders preferring fixed-distance risk management. Trailing Profit System: Employs a dual-target exit approach combining fixed limit orders with dynamic trailing stops. The system activates trailing stops when positions reach profitable thresholds, allowing winning trades to capture extended moves while protecting accumulated gains. The high fixed limit (6R default) serves as a ceiling for exceptional moves while the trailing mechanism handles the majority of exits at optimal profit levels. Time-Based Management: Implements maximum holding period constraints (50 bars default) to prevent capital from being trapped in directionless price action. This ensures consistent capital turnover and prevents the strategy from holding through extended consolidation periods. Breakeven Protection: Automatically adjusts stop loss to entry price plus commission costs once trades reach predefined profit thresholds (0.7R default), eliminating downside risk on positions that have demonstrated directional follow-through. ## Risk Management Position Sizing: Dynamic position sizing based on account equity percentage risk model (2% default). Calculates optimal position size based on entry price, stop distance, and account risk tolerance. Includes maximum position exposure caps and minimum position size thresholds to ensure practical trade execution. Daily Loss Limits: Automatic trading suspension when intraday losses exceed configured threshold (5% of equity default). Prevents catastrophic drawdown days and removes emotional decision-making during adverse market conditions. Resets automatically at the start of each new trading day. Leverage Controls: Comprehensive leverage monitoring with built-in liquidation protection for margined positions. Strategy calculates liquidation prices based on leverage settings and automatically closes positions approaching critical margin levels, preventing forced liquidations. Exposure Management: Multiple layers of position size controls including maximum position value as percentage of equity (50% default), leverage-adjusted margin requirements, and minimum capital availability thresholds before opening new positions. ## Market Filters Session-Based Filtering: Configurable trading windows for Asian (00:00-08:00 UTC), London (08:00-16:00 UTC), and New York (13:00-21:00 UTC) sessions. Allows traders to focus on specific market hours or avoid illiquid periods based on their asset and trading style. Volatility Requirements: Minimum and maximum ATR percentage thresholds ensure strategy only operates within optimal volatility ranges. Prevents trading during both insufficient movement periods and extreme volatility events where execution quality deteriorates. Trend Alignment: Optional higher timeframe trend filter ensures directional bias aligns with broader market structure, reducing counter-trend entries during strong directional moves. Volume Confirmation: Configurable volume requirements for entry validation, ensuring sufficient market participation and reducing false signals during low-liquidity periods. ## Automation Support Built-in webhook integration generates JSON payloads compatible with popular broker automation platforms. Alert system provides comprehensive notifications for all entry signals, exit executions, risk limit breaches, and daily trading status updates. Supports both automated and manual execution workflows. ## Settings Explanation Initial Capital: $5,000 Selected as realistic starting point for retail traders entering crypto futures markets. Strategy scales proportionally - larger accounts show similar percentage returns with proportionally larger absolute gains and position sizes. Risk Per Trade: 2% Conservative default providing significant drawdown tolerance. With 51% historical win rate and positive expectancy, risking 2% per trade allows for extended losing streaks without account impairment. Adjustable from 0.5% (very conservative) to 5% (aggressive, experienced traders only). Leverage: 10x Standard cross-margin leverage for cryptocurrency perpetual futures. Combined with 2% risk setting and maximum 50% equity position size caps, actual exposure remains controlled despite leverage. Built-in liquidation protection provides additional safety layer. Commission: 0.055% Modeled on major exchange maker fee structures (Bybit, Binance Futures). **Slippage: 50 ticks** Ultra-conservative slippage assumption representing extreme worst-case execution scenarios. ETH perpetual tick size is $0.01, therefore 50 ticks equals $0.50 per side or $1.00 round trip slippage per trade. Real-world slippage on 30-minute timeframe typically ranges from 2-5 ticks ($0.02-0.05 round trip) under normal conditions, with 10-20 ticks during highly volatile periods. The 50-tick setting assumes every single trade executes during extreme market stress conditions. This ultra-conservative modeling approach means real-world trading performance under typical market conditions may exceed backtest results, as the strategy has been tested under punishing execution cost assumptions that represent worst-case scenarios rather than expected outcomes. Stop Loss: ATR-based (0.7x multiplier) Volatility-adaptive stops optimized for 30-minute cryptocurrency perpetuals. The 0.7x multiplier balances protection against premature stops due to normal market noise. Lower multipliers (0.5-0.6x) suitable for lower timeframes, higher multipliers (0.8-1.2x) for higher timeframes. Take Profit: 6R (Risk:Reward) High target designed to work in conjunction with trailing stop system rather than as primary exit mechanism. Historical analysis shows most profitable trades exit via trailing stops at lower multiples, with the 6R limit capturing occasional extended moves. This configuration allows the trailing stop system to operate optimally while providing upside capture on exceptional price runs. Trailing Stop: Activates at 1R | Offset 0.5R Trailing mechanism engages when position reaches 1:1 risk-reward, then maintains 0.5R distance from peak favourable price. This configuration allows profitable trades room to develop while protecting accumulated gains from reversals. Maximum Holding Period: 50 bars Automatic exit trigger after 50 bars (25 hours on 30-minute timeframe) prevents capital commitment to non-trending price action. Adjustable based on timeframe and trading style preferences. ## Backtest Performance Test Period: November 2023 - November 2025 (2 years) Asset: ETH/USDT Perpetual Futures Timeframe: 30 minutes Initial Capital: $5,000 Performance Metrics: - Final Equity: $25,353.99 - Net Profit: $20,353.99 - Total Return: 407.08% - Annualized Return: ~204% - Total Trades: 2,549 - Winning Trades: 1,308 (51.28%) - Losing Trades: 1,241 (48.72%) - Profit Factor: 1.215 - Sharpe Ratio: 0.813 - Sortino Ratio: 6.428 - Maximum Drawdown: 11.53% - Average Drawdown: <2% Trade Statistics: - Average Win: 1.15% per trade - Average Loss: -0.98% per trade - Win/Loss Ratio: 1.17:1 - Largest Win: 7.14% - Largest Loss: -2.31% - Average Trade Duration: ~8 hours - Trades Per Month: ~106 Cost Analysis: - Total Commission Paid: $21,277.06 - Commission as % of Gross Profit: 18.5% - Modeled Slippage Impact: $2,549.00 (50 ticks per trade) - Total Trading Costs: $23,826.06 - Net Profit After All Costs: $20,353.99 Risk-Adjusted Performance: - Return/Max DD Ratio: 35.3 - Profit Per Trade: $7.98 average - Risk of Ruin: <0.001% (with 2% risk, 51% win rate, 1.17 R:R) ## Bear Market Validation To validate robustness across different market conditions, the strategy was additionally tested during the 2022 cryptocurrency bear market: Test Period: May 2022 - November 2022 (7 months) Market Conditions: ETH declined 57% (from ~$2,900 to ~$1,200) Bear Market Results: - Net Profit: $4,959.69 - Return: 99.19% - Total Trades: 845 - Win Rate: 51.72% - Maximum Drawdown: 18.54% - Profit Factor: 1.235 - Outperformance vs Buy & Hold: +156.3% The strategy demonstrated profitable performance during severe market decline, with short positions showing particular strength (54.1% win rate on shorts vs 49.4% on longs). This validates that the edge is not dependent on bullish market conditions and the multiple entry methodologies adapt naturally to different market environments. ## Recommended Usage Optimal Timeframes: - Primary: 30-minute (tested and optimized) - Alternative: 1-hour (more selective, fewer trades) - Not recommended: <15-minute (execution quality deteriorates) Suitable Assets: High-liquidity cryptocurrency perpetual futures recommended: - BTC/USDT (>$2B daily volume) - ETH/USDT (>$1B daily volume) - SOL/USDT, AVAX/USDT (>$100M daily volume) - Avoid low-liquidity pairs (<$50M daily volume) Risk Configuration: - Conservative: 1-1.5% per trade - Moderate: 2-3% per trade (default: 2%) - Aggressive: 3-5% per trade (requires discipline) ## Important Considerations Backtesting vs Live Trading: Always paper trade first. Real-world results vary based on execution quality, broker-specific factors, network latency, and individual trade management decisions. Backtest performance represents historical simulation with ultra-conservative cost assumptions, not guaranteed future results. Market Conditions: Strategy designed for liquid, actively-traded markets. Performance characteristics: - Strong trends: Optimal (trailing stops capture extended moves) - Ranging markets: Moderate (mean reversion component provides edge) - Low volatility: Reduced (ATR filter prevents most entries) - Extreme volatility: Protected (maximum volatility filter prevents entries) Cost Impact: Commission represents approximately 18.5% of gross profit in backtests. The 50-tick slippage assumption is deliberately punitive - typical execution will likely be 5-10x better (2-10 ticks actual vs 50 ticks modeled), meaning real-world net results may significantly exceed backtest performance under normal market conditions. Execution Quality: 30-minute timeframe provides sufficient time for order placement and management. Automated execution recommended for consistency. Manual execution requires discipline to follow signals without hesitation or second-guessing. Starting Procedures: 1. Run backtest on your specific asset and timeframe 2. Paper trade for minimum 50 trades or 2 weeks 3. Start with minimum position sizes (0.5-1% risk) 4. Gradually scale to target risk levels as confidence builds 5. Monitor actual execution costs vs backtest assumptions ## Strategy Limitations - Requires liquid markets; performance degrades significantly on low-volume pairs - No built-in news event calendar; traders should manually avoid scheduled high-impact events - Weekend/holiday trading may experience wider spreads and different price behaviour - Does not model spread costs (assumes mid-price fills); add 1-2 ticks additional cost for market orders - Performance during market structure changes (regime shifts) may differ from backtest period - Requires consistent monitoring during active trading hours for optimal automated execution - Slippage assumptions are deliberately extreme; actual slippage will typically be much lower ## Risk Disclosure Cryptocurrency trading involves substantial risk of loss. Leverage amplifies both gains and losses. This strategy will experience losing streaks and drawdowns. The 11.53% maximum historical drawdown in bull market testing and 18.54% in bear market testing do not represent ceilings - larger drawdowns are possible and should be expected in live trading. Past performance does not guarantee future results. Market conditions evolve, and historical edge may diminish or disappear. No strategy works in all market conditions. The strategy has been tested with extremely conservative slippage assumptions (50 ticks per trade) that significantly exceed typical execution costs; this provides a safety margin but does not eliminate risk. Capital at Risk: Only trade with capital you can afford to lose completely. The strategy's positive historical performance across both bull and bear markets does not eliminate the possibility of significant losses or account impairment. Not Financial Advice: This strategy is an educational tool, not investment advice. Users are solely responsible for their trading decisions, risk management, and outcomes. The developer assumes no liability for trading losses. Leverage Warning: Trading with leverage can result in losses exceeding initial investment. Ensure you understand leverage mechanics and liquidation risks before using leveraged products. ## Technical Requirements - TradingView Premium subscription (for strategy testing and alerts) - Understanding of risk management principles - Familiarity with perpetual futures mechanics - Broker account supporting crypto perpetuals (if trading live) - For automation: Webhook-compatible execution platform ## Version History v3.0 - November 2025 (Initial Release) - Multi-methodology entry system (Momentum, Mean Reversion, VWAP) - Comprehensive risk management framework - Adaptive exit system with trailing stops - Session and volatility filtering - Webhook automation support - Validated across bull market (2024-25) and bear market (2022) periods - Tested with ultra-conservative 50-tick slippage assumptions Disclaimer: This strategy is provided "as-is" for educational purposes. Past performance does not indicate future results. All backtests conducted with 50-tick slippage (ultra-conservative assumptions). Actual trading costs typically significantly lower. Trade responsibly and at your own risk.
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A+ Setup Strategy Trendline Features Added: 1. Automatic Trendline Detection Support Trendline (green) - Connects swing lows Resistance Trendline (red) - Connects swing highs Uses pivot points to identify key swing levels Validates trendlines by counting touches (minimum 3 touches required) 2. Trendline Settings Show Trendlines - Toggle on/off Lookback Period - How far back to look for pivots (default: 50 bars) Min Touches - How many touches needed for valid trendline (default: 3) 3. Trendline Break Detection Bullish Break - Price breaks above support trendline (marked with small green circle) Bearish Break - Price breaks below resistance trendline (marked with small red circle) Generates signals when breaks occur 4. Enhanced A+ Setups Now includes ULTRA setups - the absolute best trades: ULTRA BUY Setup (Aqua label): Bullish FVG + BOS + Volume Spike + Uptrend PLUS: Support trendline break OR near key support PLUS: Trendline breakout confirmation ULTRA SELL Setup (Fuchsia label): Bearish FVG + BOS + Volume Spike + Downtrend PLUS: Resistance trendline break OR near key resistance PLUS: Trendline breakdown confirmation 5. Confluence Integration The strategy now considers price near trendlines as additional confluence, similar to how it uses daily S/R levels. 6. Additional Alerts Support Trendline Break Resistance Trendline Break ULTRA BUY/SELL Setup alerts This gives you multiple tiers of signal quality: Standard A+ Setup - All conditions met ULTRA A+ Setup - All conditions + trendline break (highest probability) The trendlines will help you identify major trend reversals and breakouts for even better entry timing!
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Trendforduló Radar Trend Reversal Radar is a proprietary indicator that examines potential turning points in market trends. It combines data from multiple time frames, support and resistance levels, and volume movements to provide visual signals to traders. Its purpose is not to provide trading advice, but to complement technical analysis and provide more confident decision support.- A Trendforduló Radar egy saját fejlesztésű indikátor, amely a piaci trendek lehetséges fordulópontjait vizsgálja. Több idősík adatait, támasz–ellenállás szinteket és volumenmozgásokat kombinálva ad vizuális jelzést a kereskedőnek. A célja nem a kereskedési tanácsadás, hanem hogy kiegészítse a technikai elemzést és magabiztosabb döntéstámogatást adjon.
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