Inizia

Indicatori e strategie

Enhanced Volume Profile Strategy [Lite]🔍 Enhanced Volume Profile Strategy A smart and nimble trading strategy that blends Volume Profile theory with classic trend and volatility filters — optimized for intraday breakout and pullback setups. 🧠 Key Concepts: Volume Profile (Lite Simulation): Approximates volume distribution over a fixed period to identify: VPOC (Volume Point of Control): Price level with the highest traded volume VAH / VAL (Value Area High / Low): Range containing a customizable % of total volume Breakout + Pullback Logic: Enters on breakout above VAH or below VAL, after a healthy pullback confirms the move Trend Filtering: Uses SMA to align trades with the dominant trend Volume Confirmation: Optional volume spike check to avoid low-liquidity traps ATR-Based Trailing Stop: Dynamically adapts exit levels based on recent volatility ⚙️ Strategy Inputs: Volume Profile Period: How many bars to analyze for volume distribution Value Area %: Range around VPOC containing the majority of volume ATR & MA Periods: Configure volatility and trend filters Pullback Bars: Fine-tune confirmation before entry Volume Confirmation Multiplier: Demand a surge in volume before acting ✅ Entries: Long: Breaks above VAH, confirms with volume and trend, then pulls back and reclaims breakout level Short: Breaks below VAL, confirms with volume and trend, then pulls back and breaks again downward ❌ Exits: ATR-based trailing stop protects gains and adapts to market movement 📈 Plots: VPOC: Orange VAH: Red VAL: Green This "Lite" version is lightweight and highly customizable — perfect for traders who want to balance volume insights with price action and trend-following logic. Ideal for futures, forex, and crypto on lower timeframes.
Strategia Pine Script®
di BallsBulls
Under The Zone No LeverageIt's a buy low, sell high or hold tool. Designed to locate the best prices on the market and provide the best opportunities for investments and trades. Markers are not necessarily meant to be bought on every indication although it can be, they are just meant to alert the price is good. It's meant to be up to the trader to decide if that Buy price is good for them. Auto trades are possible but not recommended. The sell/hold marker is what it says sell the price or hold what you have, stop buying above that price. The insurance indicator represents a price to think about selling or covering your investment or trade for a potential fall below the price indicated, although it doesn't always happen generally it does. So don't count on the short too much it might be easier to scalp the insurance indicator long although not intended for this strategy. Last but not least Buy indicators can be scalped short but not intended for this strategy.
Strategia Pine Script®
di ChrissLookingGlass
BG CloseCandleThis simple yet effective strategy script allows you to schedule automated entries (Buy or Sell) at three customizable times throughout the trading day. Each session can be individually enabled, with its own execution time and trade direction. You can define: • Entry time (Hour & Minute) for each session • Whether each session should execute a Buy or a Sell order • Your preferred Take Profit and Stop Loss levels (in ticks) • Lot size per order The strategy is designed specifically for the 1-minute timeframe, offering the most precise execution of time-based entries. It resets automatically each day and limits the number of trades to a maximum of three per session. 📌 I personally use this strategy on the Nasdaq 100 E-mini Futures (NQ) for intraday setups and session-based candle closes. Perfect for testing market behavior at defined moments — ideal for overnight, premarket, or close-of-candle strategies. Thank you for your interest, and wishing you profitable trading
Strategia Pine Script®
di babtrader24
✅ 200 EMA + RSI Pullback + Volume Surge (Full Strategy)200 EMA Trend + RSI Pullback + Volume Surge Strategy (Advanced) 📖 Strategy Description: This strategy is designed to identify high-probability entries in trending markets using a combination of trend-following and momentum re-entry principles. It works effectively for intraday and swing trading on equities, indices, and crypto. 🔍 Entry Logic: ✅ Long Entry Conditions: Trend Confirmation: Price must be above the 200 EMA, indicating a bullish trend. RSI Pullback: RSI must drop below a defined level (default 40), indicating a healthy pullback in an uptrend. Volume Surge: Current volume must be above 1.5× the 20-period average, confirming strong buying activity. Entry Triggered on Candle Close: Ensures reliable confirmation instead of premature entries. Short Entry Conditions (reverse logic): Price below the 200 EMA RSI above threshold (default 60) Volume surge Entry only after candle close Exit Conditions: Take Profit (TP): Book profits at 2% move (configurable). Stop Loss (SL): Protect capital at 1% loss (configurable). Trailing Stop Loss (TSL): Follows the price with a 1.5% trail to lock in profits. Time-Based Exit: Closes position automatically after a fixed number of candles (default: 5 bars). Alerts: Built-in alerts notify when a Long or Short setup is triggered, allowing traders to act or automate execution. Best Used On: Timeframes: 15-minute, 1-hour, or Daily Markets: NIFTY, BANKNIFTY, RELIANCE, INFY, BTC/USD, ETH/USD Styles: Intraday, Swing, Trend-followinG Ideal For: Traders who follow pullback entries in strong trends Users looking for automated alerts and exits Strategies requiring volume confirmation + trend bias
Strategia Pine Script®
di vijayanand1015
🔁 EMA 3/21 Crossover Strategy — Exit on Opposite SignalEMA 3/21 Crossover Strategy — Exit on Opposite Signal This strategy enters trades based on a crossover between two exponential moving averages: Buy Entry: When the 3-period EMA crosses above the 21-period EMA Sell Entry: When the 3-period EMA crosses below the 21-period EMA Exit Rule: Positions are exited only when an opposite signal occurs (i.e., a new crossover in the other direction) Key Features: Designed for trend-following setups Uses ATR-based SL/TP lines for visual reference only (trades do not auto-close at SL/TP) Suitable for manual or automated trading logic with high trade clarity Can be applied on any timeframe and any liquid instrument (Forex, crypto, indices, etc.) Recommended Use: Combine with volume or session filters for improved signal quality Ideal for traders seeking clear entry/exit rules with minimal noise Best on trending instruments and medium timeframes (USDJPY; Daily)
Strategia Pine Script®
di Olayinka26
JS Elite XAUUSD Scalper v1.0📈 Elite XAUUSD Scalper v1.0 – A Premium Scalping Strategy for Gold The Elite XAUUSD Scalper v1.0 is a high-performance scalping strategy designed to capture quick price movements in the XAUUSD (Gold) market. Built with precision and optimized for intraday trading, this strategy uses a combination of Fast & Slow EMAs, ATR (Average True Range), and advanced Order Block & Liquidity Sweep logic to identify profitable opportunities in real-time. Key Features: Multiple Confluences: The strategy utilizes the HTF Trend Filter, RSI, Volume Analysis, and Order Blocks to ensure that trades are placed with the highest probability of success. Real-time Entry & Exit Signals: Automated long and short entries with Take-Profit (TP), Stop-Loss (SL), and Partial TP levels for precise risk management. Trailing Stop: Automatically trails stop-loss to lock in profits as the price moves in your favor, ensuring that you can ride the trend while protecting your gains. Alerts: Get notified of long and short signals in real-time via TradingView alerts. Never miss a trade! Strategy Logic: Trend Filter: The strategy incorporates a higher time-frame (HTF) trend filter, which ensures that trades are taken only in the direction of the overall trend. Scalping Precision: The Fast EMA (4) and Slow EMA (14) ensure timely entry and exit points, while the ATR (2) adds an extra layer of risk management, ensuring your stops are intelligently placed. Risk-to-Reward: Set to a 2:1 reward-to-risk ratio, with an option for partial take-profit at 1.2x RR, allowing you to lock in gains while letting the trade run. Order Block & Liquidity Sweep: Identifies price levels with high institutional interest, ensuring your trades align with market liquidity. Ideal For: Intraday Traders: This strategy is perfect for traders looking to capitalize on fast, small price movements in XAUUSD (Gold). Scalpers & Swing Traders: It’s designed to handle quick moves while minimizing drawdown and securing profits during market swings. Why Choose Elite XAUUSD Scalper v1.0? Customizable: Adjust the strategy's risk parameters, trailing stop, and partial TP to suit your trading style and risk tolerance. Highly Accurate: Combining the Fast & Slow EMAs, ATR, and order block logic, this strategy increases the accuracy of your trades, helping you stay ahead of market movements. Automated: Set it and forget it — the strategy takes care of entries, exits, and risk management, freeing you to focus on other markets or activities. 🚀 Start Trading with Elite XAUUSD Scalper v1.0 Today! Unlock the power of high-frequency scalping with the Elite XAUUSD Scalper v1.0. Get access to the strategy and start trading smarter today. 💬 Disclaimer This strategy is for educational purposes only. Past performance is not indicative of future results. Use this strategy at your own risk and ensure that you fully understand its features and risks before trading with real capital.
Strategia Pine Script®
di Jagroops007
JS Elite XAUUSD Scalper v1.0📈 Elite XAUUSD Scalper v1.0 – A Premium Scalping Strategy for Gold The Elite XAUUSD Scalper v1.0 is a high-performance scalping strategy designed to capture quick price movements in the XAUUSD (Gold) market. Built with precision and optimized for intraday trading, this strategy uses a combination of Fast & Slow EMAs, ATR (Average True Range), and advanced Order Block & Liquidity Sweep logic to identify profitable opportunities in real-time. Key Features: Multiple Confluences: The strategy utilizes the HTF Trend Filter, RSI, Volume Analysis, and Order Blocks to ensure that trades are placed with the highest probability of success. Real-time Entry & Exit Signals: Automated long and short entries with Take-Profit (TP), Stop-Loss (SL), and Partial TP levels for precise risk management. Trailing Stop: Automatically trails stop-loss to lock in profits as the price moves in your favor, ensuring that you can ride the trend while protecting your gains. Alerts: Get notified of long and short signals in real-time via TradingView alerts. Never miss a trade! Strategy Logic: Trend Filter: The strategy incorporates a higher time-frame (HTF) trend filter, which ensures that trades are taken only in the direction of the overall trend. Scalping Precision: The Fast EMA (4) and Slow EMA (14) ensure timely entry and exit points, while the ATR (2) adds an extra layer of risk management, ensuring your stops are intelligently placed. Risk-to-Reward: Set to a 2:1 reward-to-risk ratio, with an option for partial take-profit at 1.2x RR, allowing you to lock in gains while letting the trade run. Order Block & Liquidity Sweep: Identifies price levels with high institutional interest, ensuring your trades align with market liquidity. Ideal For: Intraday Traders: This strategy is perfect for traders looking to capitalize on fast, small price movements in XAUUSD (Gold). Scalpers & Swing Traders: It’s designed to handle quick moves while minimizing drawdown and securing profits during market swings. Why Choose Elite XAUUSD Scalper v1.0? Customizable: Adjust the strategy's risk parameters, trailing stop, and partial TP to suit your trading style and risk tolerance. Highly Accurate: Combining the Fast & Slow EMAs, ATR, and order block logic, this strategy increases the accuracy of your trades, helping you stay ahead of market movements. Automated: Set it and forget it — the strategy takes care of entries, exits, and risk management, freeing you to focus on other markets or activities. 🚀 Start Trading with Elite XAUUSD Scalper v1.0 Today! Unlock the power of high-frequency scalping with the Elite XAUUSD Scalper v1.0. Get access to the strategy and start trading smarter today. 💬 Disclaimer This strategy is for educational purposes only. Past performance is not indicative of future results. Use this strategy at your own risk and ensure that you fully understand its features and risks before trading with real capital. 🎯 Ready to Take Your Trading to the Next Level? Access the strategy via Invite-Only access on TradingView Enjoy personalized, automated, and highly accurate signals that can boost your trading potential Start making consistent profits with a professional trading approach
Strategia Pine Script®
di Jagroops007
1
Malamal WeeklyThis Pine Script implements a weekly breakout trading strategy called "Malamal Weekly" designed for TradingView. It combines multiple technical indicators to identify high-potential entries and applies a dynamic trailing stop-loss system to protect gains. 🔍 Core Strategy Logic Entry Condition: A long (buy) position is initiated when: Weekly close meet the various technical conditions. Stop-Loss Calculation: The stop-loss is dynamically set as the highest value among: three different technical indicator value 🧠 Key Features Uses Weekly Timeframe all technical indicator, and close price. Trailing Stop-Loss updates every bar to lock in profits. Dashboard Display shows Buy Price, Profit %, CAGR, and Trailing SL at the bottom-right of the chart. Clean Plotting of Buy & SL levels for visual clarity. 💡 Purpose This strategy helps position traders identify strong weekly breakouts and manage risk with smart trailing exits, aiming for multi-bagger potential.
Strategia Pine Script®
di prabhat76
BGSwing StrategyThis Pine Script® strategy detects bullish and bearish liquidity levels (SSL/BSL) based on swing points and executes trades based on breakout-failure logic. ✨ Features: • Automatically identifies Swing Highs (BSL) and Swing Lows (SSL) • Configurable strategy execution on Break & Fail (Break and Close Back) • Optional buy/sell direction filtering • Customizable Take Profit & Stop Loss (in points) • Visual liquidity levels drawn as horizontal lines • Optional signal labels displayed directly on the chart ⚙️ Parameters: • Liquidity Strength: defines the number of bars for valid highs/lows • Direction Filter: Buy only / Sell only / Both • Line style, width, and color customization • Option to auto-delete old liquidity levels Ideal for traders using price action and smart money concepts who want clean entry logic and visual confirmation. Enjoy and use responsibly. 📈
Strategia Pine Script®
di babtrader24
HMA Crossover + ATR + Curvature (Long & Short)📏 Hull Moving Averages (Trend Filters) - fastHMA = ta.hma(close, fastLength) - slowHMA = ta.hma(close, slowLength) These two HMAs act as dynamic trend indicators: - A bullish crossover of fast over slow HMA signals a potential long setup. - A bearish crossunder triggers short interest. ⚡️ Curvature (Acceleration Filter) - curv = ta.change(ta.change(fastHMA)) This calculates the second-order change (akin to the second derivative) of the fast HMA — effectively the acceleration of the trend. It serves as a filter: - For long entries: curv > curvThresh (positive acceleration) - For short entries: curv < -curvThresh (negative acceleration) It helps eliminate weak or stagnating moves by requiring momentum behind the crossover. 📈 Volatility-Based Risk Management (ATR) - atr = ta.atr(atrLength) - stopLoss = atr * atrMult - trailStop = atr * trailMult These define your: - Initial stop loss: scaled to recent volatility using ATR and atrMult. - Trailing stop: also ATR-scaled, to lock in gains dynamically as price moves favorably. 💰 Position Sizing via Risk Percent - capital = strategy.equity - riskCapital = capital * (riskPercent / 100) - qty = riskCapital / stopLoss This dynamically calculates the position size (qty) such that if the stop loss is hit, the loss does not exceed the predefined percentage of account equity. It’s a volatility-adjusted position sizing method, keeping your risk consistent regardless of market conditions. 📌 Execution Logic - Long Entry: on bullish HMA crossover with rising curvature. - Short Entry: on bearish crossover with falling curvature. - Exits: use ATR-based trailing stops. - Position is closed when trend conditions reverse (e.g., bearish crossover exits the long). This framework gives you: - Trend-following logic (via HMAs) - Momentum confirmation (via curvature) - Volatility-aware execution and exits (via ATR) - Risk-controlled dynamic sizing Want to get surgical and test what happens if we use curvature on the difference between HMAs instead? That might give some cool insights into trend strength transitions.
Strategia Pine Script®
di emilio_sforza
6
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description Overview The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes. Performance Highlight: In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior. The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well. ## Key Innovation & Originality This strategy introduces a unique **dual scoring system** approach: - **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria - **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions. ## Technical Foundation ### Optimized Indicator Parameters The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns: **MACD Configuration (3,10,3)**: - Fast EMA: 3 periods (vs standard 12) - Slow EMA: 10 periods (vs standard 26) - Signal Line: 3 periods (vs standard 9) - **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility **RSI Configuration (21-period)**: - Length: 21 periods (vs standard 14) - Oversold: 30 level - Extreme Oversold: 25 level - **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment **Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance. ### Scoring System Methodology **Entry Score Components (Minimum 13 points required)**: 1. **RSI Signals** (max 5 points): - RSI < 30: +2 points - RSI < 25: +2 points - RSI turning up: +1 point 2. **MACD Signals** (max 8 points): - MACD below zero: +1 point - MACD turning up: +2 points - MACD histogram improving: +2 points - MACD bullish divergence: +3 points 3. **Price Action** (max 4 points): - Long lower wick (>50%): +2 points - Small body (<30%): +1 point - Bullish close: +1 point 4. **Pattern Recognition** (max 8 points): - RSI bullish divergence: +4 points - Quick recovery pattern: +2 points - Reversal confirmation: +4 points **Exit Score Components (Minimum 13 points required)**: Uses inverse criteria to identify swing tops with similar weighting system. ## Risk Management Features ### Position Sizing & Risk Control - **Single Position Strategy**: 100% equity allocation per trade - **No Overlapping Positions**: Ensures focused risk management - **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets ### Stop Loss & Take Profit Logic - **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer - **Risk-Based Take Profit**: Calculated using risk/reward ratio - **Clean Exit Logic**: Prevents conflicting signals ## Default Settings Optimization ### Key Parameters (Optimized for MSTR/Bitcoin-style volatility): - **Minimum Entry Score**: 13 (ensures high-conviction entries) - **Minimum Exit Score**: 13 (prevents premature exits) - **Risk/Reward Ratio**: 5.0 (accounts for volatility) - **Lower Wick Threshold**: 50% (identifies true hammer patterns) - **Divergence Lookback**: 8 bars (optimal for swing timeframes) ### Why These Defaults Work for MSTR: 1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation 2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets 3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks 4. **21-period RSI**: Reduces noise while maintaining sensitivity ## Visual Features ### Score Display System - **Green Labels**: Entry scores ≥10 points (below bars) - **Red Labels**: Exit scores ≥10 points (above bars) - **Large Triangles**: Actual trade entries/exits - **Small Triangles**: Reversal pattern confirmations ### Chart Cleanliness - Indicators plotted in separate panes (MACD, RSI) - TP/SL levels shown only during active positions - Clear trade markers distinguish signals from actual trades ## Backtesting Specifications ### Realistic Trading Conditions - **Commission**: 0.1% per trade - **Slippage**: 3 points - **Initial Capital**: $1,000 - **Account Type**: Cash (no margin) ### Sample Size Considerations - Strategy designed for 100+ trade sample sizes - Recommended timeframes: 4H, 1D for swing trading - Optimal for trending/volatile markets ## Strategy Limitations & Considerations ### Market Conditions - **Best Performance**: Trending markets with clear swings - **Reduced Effectiveness**: Highly choppy, sideways markets - **Volatility Dependency**: Optimized for moderate to high volatility assets ### Risk Warnings - **High Allocation**: 100% position sizing increases risk - **No Diversification**: Single position strategy - **Backtesting Limitation**: Past performance doesn't guarantee future results ## Usage Guidelines ### Recommended Assets & Timeframes - **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes - **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.) - **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments) - **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping ### Timeframe Recommendations - **Primary Scalping**: 5-minute and 15-minute charts - **Active Monitoring**: 1-minute for precise entries - **Swing Scalping**: 30-minute to 1-hour timeframes - **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities) ## Technical Requirements - **Pine Script Version**: v6 - **Overlay**: Yes (plots on price chart) - **Additional Panes**: MACD and RSI indicators - **Real-time Compatibility**: Confirmed bar signals only ## Customization Options All parameters are fully customizable through inputs: - Indicator lengths and levels - Scoring thresholds - Risk management settings - Visual display preferences - Date range filtering ## Conclusion This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets. The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets. **Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Strategia Pine Script®
di Quant_Trading_Pro
3
KST Strategy [Skyrexio]Overview KST Strategy leverages Know Sure Thing (KST) indicator in conjunction with the Williams Alligator and Moving average to obtain the high probability setups. KST is used for for having the high probability to enter in the direction of a current trend when momentum is rising, Alligator is used as a short term trend filter, while Moving average approximates the long term trend and allows trades only in its direction. Also strategy has the additional optional filter on Choppiness Index which does not allow trades if market is choppy, above the user-specified threshold. Strategy has the user specified take profit and stop-loss numbers, but multiplied by Average True Range (ATR) value on the moment when trade is open. The strategy opens only long trades. Unique Features ATR based stop-loss and take profit. Instead of fixed take profit and stop-loss percentage strategy utilizes user chosen numbers multiplied by ATR for its calculation. Configurable Trading Periods. Users can tailor the strategy to specific market windows, adapting to different market conditions. Optional Choppiness Index filter. Strategy allows to choose if it will use the filter trades with Choppiness Index and set up its threshold. Methodology The strategy opens long trade when the following price met the conditions: Close price is above the Alligator's jaw line Close price is above the filtering Moving average KST line of Know Sure Thing indicator shall cross over its signal line (details in justification of methodology) If the Choppiness Index filter is enabled its value shall be less than user defined threshold When the long trade is executed algorithm defines the stop-loss level as the low minus user defined number, multiplied by ATR at the trade open candle. Also it defines take profit with close price plus user defined number, multiplied by ATR at the trade open candle. While trade is in progress, if high price on any candle above the calculated take profit level or low price is below the calculated stop loss level, trade is closed. Strategy settings In the inputs window user can setup the following strategy settings: ATR Stop Loss (by default = 1.5, number of ATRs to calculate stop-loss level) ATR Take Profit (by default = 3.5, number of ATRs to calculate take profit level) Filter MA Type (by default = Least Squares MA, type of moving average which is used for filter MA) Filter MA Length (by default = 200, length for filter MA calculation) Enable Choppiness Index Filter (by default = true, setting to choose the optional filtering using Choppiness index) Choppiness Index Threshold (by default = 50, Choppiness Index threshold, its value shall be below it to allow trades execution) Choppiness Index Length (by default = 14, length used in Choppiness index calculation) KST ROC Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #2 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #3 (by default = 20, value used in KST indicator calculation, more information in Justification of Methodology) KST ROC Length #4 (by default = 30, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #1 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #2 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #3 (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) KST SMA Length #4 (by default = 15, value used in KST indicator calculation, more information in Justification of Methodology) KST Signal Line Length (by default = 10, value used in KST indicator calculation, more information in Justification of Methodology) User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Before understanding why this particular combination of indicator has been chosen let's briefly explain what is KST, Williams Alligator, Moving Average, ATR and Choppiness Index. The KST (Know Sure Thing) is a momentum oscillator developed by Martin Pring. It combines multiple Rate of Change (ROC) values, smoothed over different timeframes, to identify trend direction and momentum strength. First of all, what is ROC? ROC (Rate of Change) is a momentum indicator that measures the percentage change in price between the current price and the price a set number of periods ago. ROC = 100 * (Current Price - Price N Periods Ago) / Price N Periods Ago In our case N is the KST ROC Length inputs from settings, here we will calculate 4 different ROCs to obtain KST value: KST = ROC1_smooth × 1 + ROC2_smooth × 2 + ROC3_smooth × 3 + ROC4_smooth × 4 ROC1 = ROC(close, KST ROC Length #1), smoothed by KST SMA Length #1, ROC2 = ROC(close, KST ROC Length #2), smoothed by KST SMA Length #2, ROC3 = ROC(close, KST ROC Length #3), smoothed by KST SMA Length #3, ROC4 = ROC(close, KST ROC Length #4), smoothed by KST SMA Length #4 Also for this indicator the signal line is calculated: Signal = SMA(KST, KST Signal Line Length) When the KST line rises, it indicates increasing momentum and suggests that an upward trend may be developing. Conversely, when the KST line declines, it reflects weakening momentum and a potential downward trend. A crossover of the KST line above its signal line is considered a buy signal, while a crossover below the signal line is viewed as a sell signal. If the KST stays above zero, it indicates overall bullish momentum; if it remains below zero, it points to bearish momentum. The KST indicator smooths momentum across multiple timeframes, helping to reduce noise and provide clearer signals for medium- to long-term trends. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. The next indicator is Moving Average. It has a lot of different types which can be chosen to filter trades and the Least Squares MA is used by default settings. Let's briefly explain what is it. The Least Squares Moving Average (LSMA) — also known as Linear Regression Moving Average — is a trend-following indicator that uses the least squares method to fit a straight line to the price data over a given period, then plots the value of that line at the most recent point. It draws the best-fitting straight line through the past N prices (using linear regression), and then takes the endpoint of that line as the value of the moving average for that bar. The LSMA aims to reduce lag and highlight the current trend more accurately than traditional moving averages like SMA or EMA. Key Features: It reacts faster to price changes than most moving averages. It is smoother and less noisy than short-term EMAs. It can be used to identify trend direction, momentum, and potential reversal points. ATR (Average True Range) is a volatility indicator that measures how much an asset typically moves during a given period. It was introduced by J. Welles Wilder and is widely used to assess market volatility, not direction. To calculate it first of all we need to get True Range (TR), this is the greatest value among: High - Low abs(High - Previous Close) abs(Low - Previous Close) ATR = MA(TR, n) , where n is number of periods for moving average, in our case equals 14. ATR shows how much an asset moves on average per candle/bar. A higher ATR means more volatility; a lower ATR means a calmer market. The Choppiness Index is a technical indicator that quantifies whether the market is trending or choppy (sideways). It doesn't indicate trend direction — only the strength or weakness of a trend. Higher Choppiness Index usually approximates the sideways market, while its low value tells us that there is a high probability of a trend. Choppiness Index = 100 × log10(ΣATR(n) / (MaxHigh(n) - MinLow(n))) / log10(n) where: ΣATR(n) = sum of the Average True Range over n periods MaxHigh(n) = highest high over n periods MinLow(n) = lowest low over n periods log10 = base-10 logarithm Now let's understand how these indicators work in conjunction and why they were chosen for this strategy. KST indicator approximates current momentum, when it is rising and KST line crosses over the signal line there is high probability that short term trend is reversing to the upside and strategy allows to take part in this potential move. Alligator's jaw (blue) line is used as an approximation of a short term trend, taking trades only above it we want to avoid trading against trend to increase probability that long trade is going to be winning. Almost the same for Moving Average, but it approximates the long term trend, this is just the additional filter. If we trade in the direction of the long term trend we increase probability that higher risk to reward trade will hit the take profit. Choppiness index is the optional filter, but if it turned on it is used for approximating if now market is in sideways or in trend. On the range bounded market the potential moves are restricted. We want to decrease probability opening trades in such condition avoiding trades if this index is above threshold value. When trade is open script sets the stop loss and take profit targets. ATR approximates the current volatility, so we can make a decision when to exit a trade based on current market condition, it can increase the probability that strategy will avoid the excessive stop loss hits, but anyway user can setup how many ATRs to use as a stop loss and take profit target. As was said in the Methodology stop loss level is obtained by subtracting number of ATRs from trade opening candle low, while take profit by adding to this candle's close. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2025.05.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 60% Maximum Single Position Loss: -5.53% Maximum Single Profit: +8.35% Net Profit: +5175.20 USDT (+51.75%) Total Trades: 120 (56.67% win rate) Profit Factor: 1.747 Maximum Accumulated Loss: 1039.89 USDT (-9.1%) Average Profit per Trade: 43.13 USDT (+0.6%) Average Trade Duration: 27 hours These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters. How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 1h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrexio commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation.
Strategia Pine Script®
di Skyrexio
Ticker Pulse Meter + Fear EKG StrategyDescription The Ticker Pulse Meter + Fear EKG Strategy is a technical analysis tool designed to identify potential entry and exit points for long positions based on price action relative to historical ranges. It combines two proprietary indicators: the Ticker Pulse Meter (TPM), which measures price positioning within short- and long-term ranges, and the Fear EKG, a VIX-inspired oscillator that detects extreme market conditions. The strategy is non-repainting, ensuring signals are generated only on confirmed bars to avoid false positives. Visual enhancements, such as optional moving averages and Bollinger Bands, provide additional context but are not core to the strategy's logic. This script is suitable for traders seeking a systematic approach to capturing momentum and mean-reversion opportunities. How It Works The strategy evaluates price action using two key metrics: Ticker Pulse Meter (TPM): Measures the current price's position within short- and long-term price ranges to identify momentum or overextension. Fear EKG: Detects extreme selling pressure (akin to "irrational selling") by analyzing price behavior relative to historical lows, inspired by volatility-based oscillators. Entry signals are generated when specific conditions align, indicating potential buying opportunities. Exits are triggered based on predefined thresholds or partial position closures to manage risk. The strategy supports customizable lookback periods, thresholds, and exit percentages, allowing flexibility across different markets and timeframes. Visual cues, such as entry/exit dots and a position table, enhance usability, while optional overlays like moving averages and Bollinger Bands provide additional chart context. Calculation Overview Price Range Calculations: Short-Term Range: Uses the lowest low (min_price_short) and highest high (max_price_short) over a user-defined short lookback period (lookback_short, default 50 bars). Long-Term Range: Uses the lowest low (min_price_long) and highest high (max_price_long) over a user-defined long lookback period (lookback_long, default 200 bars). Percentage Metrics: pct_above_short: Percentage of the current close above the short-term range. pct_above_long: Percentage of the current close above the long-term range. Combined metrics (pct_above_long_above_short, pct_below_long_below_short) normalize price action for signal generation. Signal Generation: Long Entry (TPM): Triggered when pct_above_long_above_short crosses above a user-defined threshold (entryThresholdhigh, default 20) and pct_below_long_below_short is below a low threshold (entryThresholdlow, default 40). Long Entry (Fear EKG): Triggered when pct_below_long_below_short crosses under an extreme threshold (orangeEntryThreshold, default 95), indicating potential oversold conditions. Long Exit: Triggered when pct_above_long_above_short crosses under a profit-taking level (profitTake, default 95). Partial exits are supported via a user-defined percentage (exitAmt, default 50%). Non-Repainting Logic: Signals are calculated using data from the previous bar ( ) and only plotted on confirmed bars (barstate.isconfirmed), ensuring reliability. Visual Enhancements: Optional moving averages (SMA, EMA, WMA, VWMA, or SMMA) and Bollinger Bands can be enabled for trend context. A position table displays real-time metrics, including open positions, Fear EKG, and Ticker Pulse values. Background highlights mark periods of high selling pressure. Entry Rules Long Entry: TPM Signal: Occurs when the price shows strength relative to both short- and long-term ranges, as defined by pct_above_long_above_short crossing above entryThresholdhigh and pct_below_long_below_short below entryThresholdlow. Fear EKG Signal: Triggered by extreme selling pressure, when pct_below_long_below_short crosses under orangeEntryThreshold. This signal is optional and can be toggled via enable_yellow_signals. Entries are executed only on confirmed bars to prevent repainting. Exit Rules Long Exit: Triggered when pct_above_long_above_short crosses under profitTake. Partial exits are supported, with the strategy closing a user-defined percentage of the position (exitAmt) up to four times per position (exit_count limit). Exits can be disabled or adjusted via enable_short_signal and exitPercentage settings. Inputs Backtest Start Date: Defines the start of the backtesting period (default: Jan 1, 2017). Lookback Periods: Short (lookback_short, default 50) and long (lookback_long, default 200) periods for range calculations. Resolution: Timeframe for price data (default: Daily). Entry/Exit Thresholds: entryThresholdhigh (default 20): Threshold for TPM entry. entryThresholdlow (default 40): Secondary condition for TPM entry. orangeEntryThreshold (default 95): Threshold for Fear EKG entry. profitTake (default 95): Exit threshold. exitAmt (default 50%): Percentage of position to exit. Visual Options: Toggle for moving averages and Bollinger Bands, with customizable types and lengths. Notes The strategy is designed to work across various timeframes and assets, with data sourced from user-selected resolutions (i_res). Alerts are included for long entry and exit signals, facilitating integration with TradingView's alert system. The script avoids repainting by using confirmed bar data and shifted calculations ( ). Visual elements (e.g., SMA, Bollinger Bands) are inspired by standard Pine Script practices and are optional, not integral to the core logic. Usage Apply the script to a chart, adjust input settings to suit your trading style, and use the visual cues (entry/exit dots, position table) to monitor signals. Enable alerts for real-time notifications. Designed to work best on Daily timeframe.
Strategia Pine Script®
di chuckaschultz
Baseline TrendBaseline Trend Strategy Overview Baseline Trend is a crypto-only trading strategy built on straightforward price-based logic: market direction is determined solely by the price’s position relative to a selected baseline open price. No technical indicators like RSI, MACD, or volume are used—this approach is purely focused on price action and position size manipulation. This strategy is a genuine concept, developed from my own market analysis and logical theory, refined through extensive observation of crypto market behaviour. While the strategy offers structure and adaptability, it’s important to recognise that no single trading system or indicator fits all market conditions. This tool is meant to support decision-making, not replace it—encouraging traders to stay flexible, informed, and in control of their risk. Important Usage Note: This system is intended for crypto markets only. – When used as an indicator guide, it can be applied to both spot and futures markets. – However, when used with web-hook automation, it is designed only for futures contracts. Ensure compatibility with your trading setup before using automation features. Core Logic: The Baseline The strategy revolves around the concept of a “Baseline”, with three types available: Main Baseline: Defines the primary trend direction. If the price is above, go long; if below, go short. Second Baseline and Third Baseline: Used to measure buying/selling pressure and are key to certain take-profit logic options. Baselines are customisable to different timeframes—Year, Month, Week, and more—based on available input settings. Structurally, the Main Baseline is the highest-level trend reference, followed by the Second, then Third. Users can mix and match these baselines across timeframes to backtest crypto symbols and understand behaviour patterns, particularly when used with standard candlestick charts. Entry & Exit Logic Entry Signal: Triggered when price crosses over/under a defined distance (percentage) from the Main Baseline. This distance is the Trade Line, calculated based on the close price. Exit Signal / Stop Loss: If price moves un-favorable and crosses over/under the Stop Loss Line (a defined distance from the Main Baseline), the open position will be force-closed according to user-defined settings. LiqC (Liquidation Cut) LiqC is a secondary stop-loss that activates when a leveraged position’s loss equals or exceeds the user-defined liquidation threshold. It forcefully closes the position to help prevent full liquidation before stop-loss, providing an extra layer of protection. This LiqC is directly tied to the leverage level set by the user. Please ensure you understand how leverage affects liquidation risk, as different broker exchanges may use different liquidation ratio models. Using incorrect assumptions or mismatched leverage values may result in unexpected behaviour. Position Sizing & Block Units This strategy features a block-based position sizing system designed for flexibility and precision in trade management: Block Range: Customisable from 1 to 10 blocks Risk Allocation: Controlled through a user-defined ROE (Risk of Equity) value For example, setting an ROE of 0.1% with 10 blocks allocates a total of 1% of account equity to the position. This structure supports both conservative and aggressive risk approaches, depending on user preference. Block sizes are automatically calculated in alignment with exchange requirements, using Minimum Notional Value (MNV) and Minimum Trade Amount (MTA). These values are dynamically calculated based on the live market price, and scaled relative to the trader’s balance and selected risk percentage. This ensures accurate sizing with built-in adaptability for any account level and current market conditions. Scalping Meets Trend Holding This system blends short-term scalping with longer-term trend holding, offering a flexible and adaptive trading style. Example: Enter 10 blocks → take quick profits on 5 blocks → let the remaining 5 ride the trend. This dual-layered approach allows traders to secure early gains while staying positioned for larger market moves. Think of it as: 5 Blocks to Protect: Capture quick wins and manage exposure. 5 Blocks to Pursue: Let profits run by following the broader trend. By combining both protection and pursuit, the strategy supports risk control without sacrificing the potential for extended returns. Flexible Take-Profit Logic The strategy supports multiple, customisable take-profit mechanisms: TP1–4 (Profit Percentage) Triggers take profit of 1 block unit when unrealised gains reach defined percentage thresholds (TP1, TP2, TP3, TP4). Buying/Selling Pressure-Based Take Profit D1 – Pressure 1 Measures pressure between Second and Third Baselines. If the distance between them exceeds a user-defined DPT (Decrease Post Threshold) and the price moves far enough from the Third Baseline, D1 activates to take profit or scale out one block. D2 – Pressure 2 Measures pressure between the Main and Second Baselines. Works similarly to D1, using a separate distance and pressure trigger. Note: Both D1 and D2 deactivate in reversal or even trend conditions. D3–5: High-High / Low-Low Logic Based on bar index tracking after position entry: For Long Positions: If after D3 bars the price doesn't exceed the previous bar's high, the system executes a take profit or scale-out. For Short Positions: If the price doesn't drop below the previous low, the same logic applies. This approach adds time-based and momentum-aware exit flexibility. Leverage & Liquidation Risk When backtesting with leverage enabled, the system checks whether historical candles exceed the liquidation range, calculated based on the average entry price and the leverage input. If the Liquidation Risk Count exceeds 1, profit and loss accuracy may be affected. Traders are encouraged to monitor this count closely to ensure realistic backtesting results. Since the system cannot directly control or sync with your broker exchange’s actual leverage setting, it’s important to manually match the system’s leverage input with your broker’s configured leverage. For example: If the system leverage input is set to 10, your exchange leverage setting must also be set to 10. Any mismatch will lead to inaccurate liquidation risk and PnL calculations. Backtesting and Customisation All TP1–4 and D1–5 functions are fully optional and customisable. Users are encouraged to backtest different crypto symbols to observe how price behaviour aligns with baseline structures and pressure metrics. Each of the TP1–4 and D1–5 triggers is designed to execute only once per open position, ensuring controlled and predictable behaviour within each trade cycle. Since backtesting is based on available historical bar data, please note that data availability varies depending on your TradingView subscription plan. For more reliable insights, it’s recommended to backtest across multiple time ranges, not just the full dataset, to assess the stability and consistency of the strategy’s performance over time. Additionally, the time frame resolution interval in TradingView is customisable. For best results, use commonly supported time frames such as 30 minutes, 1 hour, 4 hours, 1 day, or 1 week. While the system is designed to support a broad range of intervals, non-standard resolutions may still cause calculation errors. Currently, the system supports the following resolution ranges: Intraday: from 1 minute to 720 minutes (e.g., 60 minutes = 1 hour, 240 minutes = 4 hours, 720 minutes = 12 hours) Daily: from 1 day to 6 days Weekly: from 1 week to 3 weeks Monthly: from 1 month to 4 months Although the script is built to adapt to various resolutions, users should still monitor output behaviour closely, especially when testing less common or edge-case time frames. System Usage Notice: This system can be used as a standalone trading indicator or integrated with an exchange that supports web-hook signal execution. If you choose to automate trades via web-hook, please ensure you fully understand how to configure the setup properly. Web-hook integration methods vary between exchanges, and incorrect setup may lead to unintended trades. Users are responsible for ensuring proper configuration and monitoring of their automation. Note on Lower Time Frame Usage When using lower time frames (e.g., 1-minute charts) as the trading time frame, please be aware that available historical data may be limited depending on your subscription plan. This can affect the depth and reliability of backtesting, making it harder to establish a trustworthy probability model for a symbol’s behaviour over time. Additionally, when pairing a high-level Main Baseline (MBL) time line (such as "1 Month") with low time frame resolutions (like 1-minute), you may encounter order execution limits or calculation overloads during backtesting. This is due to the large number of historical bars required, which can strain the system's capacity. That said, if a user intentionally chooses to work with lower time frames, that decision is fully respected—but it should be done with awareness and at the user’s own risk. Things to Be Aware Of (Web-hook Usage Only) The following points apply if you're using web-hook automation to send signals from the system to an exchange: Alert Signal Reliability During extreme market volatility, some broker exchanges may fail to respond to web-hook signals due to traffic overload. While rare, this has occurred in the past and should be considered when relying on automation. Alert Expiration (TradingView) If you're on a Basic plan, TradingView alerts are only active for a limited time—typically around 1.5 months. Once expired, signals will no longer be sent out. To keep your system active, reset the alert before expiration. For uninterrupted alerts, consider upgrading to a Premium plan, which supports permanent alert activation. TradingView Alert Maintenance TradingView may occasionally perform system maintenance, during which alerts may temporarily stop functioning. It’s recommended to monitor TradingView’s status if you’re relying on real-time automation. Repainting As of the current version, no repainting behaviour has been observed. Signal stability and consistency have been maintained across real-time and historical bars. Order Execution Type and Fill Logic All signals use Limit orders by default, except for MBL Exit and Fallback execution, which use Market orders. Since Limit orders are not guaranteed to fill, the system includes logic to cancel unfilled orders and resend them. If necessary, a Fallback Market order is used to avoid conflict with new incoming trades. This has only happened once, and is considered rare, but users should always monitor execution status to ensure accuracy and alignment with system behaviour. Feedback If you encounter any errors, bugs, or unexpected behaviour while using the system, please don’t hesitate to let me know. Your input is invaluable for helping improve the strategy in future updates. Likewise, if you have any suggestions or ideas for enhancing the system—whether it’s a new feature, adjustment, or usability improvement—please feel free to share. Together, we can continue refining the tool to make it more robust and beneficial for everyone. Disclaimer All trading involves risk, particularly in the crypto market where conditions can be highly volatile. Past performance does not guarantee future outcomes, and market behaviour may evolve over time. This strategy is offered as a tool to support trading decisions and should not be considered financial or investment advice. Each user is responsible for their own actions and accepts full responsibility for any results that may arise from using this system.
Strategia Pine Script®
di MangoLoke
5
LANZ Strategy 1.0 [Backtest]🔷 LANZ Strategy 1.0 — Time-Based Session Trading with Smart Reversal Logic and Risk-Controlled Limit Orders This backtest version of LANZ Strategy 1.0 brings precision to session-based trading by using directional confirmation, pre-defined risk parameters, and limit orders that execute overnight. Designed for the 1-hour timeframe, it allows traders to evaluate the system with configurable SL, TP, and risk settings in a fully automated environment. 🧠 Core Strategy Logic: 1. Directional Confirmation at 18:00 NY: At 18:00 NY, the system compares the 08:00 open vs the 18:00 close: If the direction matches the previous day, the signal is reversed. If the direction differs, the current day's trend is kept. This logic is designed to avoid momentum exhaustion and capture corrective reversals. 2. Entry Level Definition: Based on the confirmed direction: For BUY, the Low of the day is used as Entry Point (EP). For SELL, the High of the day becomes EP. The system plots a Stop Loss and Take Profit based on user-defined pip inputs (default: SL = 18 pips, TP = 54 pips → RR 1:3). 3. Time-Limited Entry Execution (LIMIT Orders): Orders are sent after 18:00 NY and can be triggered anytime between 18:00 and 08:00 NY. If EP is not touched before 08:00, the order is automatically cancelled. 4. Manual Close Feature: If the trade is still open at the configured hour (default 09:00 NY), the system closes all positions, simulating realistic intraday exit scenarios. 5. Lot Size Calculation Based on Risk: Lot size is dynamically calculated using the account size, risk percentage, and SL distance. This ensures consistent risk exposure regardless of market volatility. ⚙️ Step-by-Step Flow: 08:00 NY → Captures the open of the day. 18:00 NY → Confirms direction and defines EP, SL, and TP. After 18:00 NY → If conditions are met, a LIMIT order is placed at EP. Between 18:00–08:00 NY → If price touches EP, the trade is executed. At 08:00 NY → If EP wasn’t touched, the order is cancelled. At Configured Manual Close Time (default 09:00 NY) → All open positions are force-closed if still active. 🧪 Backtest Settings: Timeframe: 1-hour only Order Type: strategy.entry() with limit= SL/TP Configurable: Yes, in pips Risk Input: % of capital per trade Manual Close Time: Fully adjustable (default 09:00 NY) 👨‍💻 Credits: Developed by LANZ Strategy logic and trading concept built with clarity and precision. Code structure and documentation by Kairos, your AI trading assistant. Designed for high-confidence execution and clean backtesting performance.
Strategia Pine Script®
di rau_u_lanz
1