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Simple Candle Strategy# Candle Pattern Strategy - Pine Script V6 ## Overview A TradingView trading strategy script (Pine Script V6) that identifies candlestick patterns over a configurable lookback period and generates trading signals based on pattern recognition rules. ## Strategy Logic The strategy analyzes the most recent N candlesticks (default: 5) and classifies their patterns into three categories, then generates buy/sell signals based on specific pattern combinations. ### Candlestick Pattern Classification Each candlestick is classified as one of three types: | Pattern | Definition | Formula | |---------|-----------|---------| | **Close at High** | Close price near the highest price of the candle | `(high - close) / (high - low) ≤ (1 - threshold)` | | **Close at Low** | Close price near the lowest price of the candle | `(close - low) / (high - low) ≤ (1 - threshold)` | | **Doji** | Opening and closing prices very close; long upper/lower wicks | `abs(close - open) / (high - low) ≤ threshold` | ### Trading Rules | Condition | Action | Signal | |-----------|--------|--------| | Number of Doji candles ≥ 3 | **SKIP** - Market is too chaotic | No trade | | "Close at High" count ≥ 2 + Last candle closes at high | **LONG** - Bullish confirmation | Buy Signal | | "Close at Low" count ≥ 2 + Last candle closes at low | **SHORT** - Bearish confirmation | Sell Signal | ## Configuration Parameters All parameters are adjustable in TradingView's "Settings/Inputs" tab: | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **K-line Lookback Period** | 5 | 3-20 | Number of candlesticks to analyze | | **Doji Threshold** | 0.1 | 0.0-1.0 | Body size / Total range ratio for doji identification | | **Doji Count Limit** | 3 | 1-10 | Number of dojis that triggers skip signal | | **Close at High Proximity** | 0.9 | 0.5-1.0 | Required proximity to highest price (0.9 = 90%) | | **Close at Low Proximity** | 0.9 | 0.5-1.0 | Required proximity to lowest price (0.9 = 90%) | ### Parameter Tuning Guide #### Proximity Thresholds (Close at High/Low) - **0.95 or higher**: Stricter - only very strong candles qualify - **0.90 (default)**: Balanced - good for most market conditions - **0.80 or lower**: Looser - catches more patterns, higher false signals #### Doji Threshold - **0.05-0.10**: Strict doji identification - **0.10-0.15**: Standard doji detection - **0.15+**: Includes near-doji patterns #### Lookback Period - **3-5 bars**: Fast, sensitive to recent patterns - **5-10 bars**: Balanced approach - **10-20 bars**: Slower, filters out noise ## Visual Indicators ### Chart Markers - **Green Up Arrow** ▲: Long entry signal triggered - **Red Down Arrow** ▼: Short entry signal triggered - **Gray X**: Skip signal (too many dojis detected) ### Statistics Table Located at top-right corner, displays real-time pattern counts: - **Close at High**: Count of candles closing near the high - **Close at Low**: Count of candles closing near the low - **Doji**: Count of doji/near-doji patterns ### Signal Labels - Green label: "✓ Long condition met" - below entry bar - Red label: "✓ Short condition met" - above entry bar - Gray label: "⊠ Too many dojis, skip" - trade skipped ## Risk Management ### Exit Strategy The strategy includes built-in exit rules based on ATR (Average True Range): - **Stop Loss**: ATR × 2 - **Take Profit**: ATR × 3 Example: If ATR is $10, stop loss is at -$20 and take profit is at +$30 ### Position Sizing Default: 100% of equity per trade (adjustable in strategy properties) **Recommendation**: Reduce to 10-25% of equity for safer capital allocation ## How to Use ### 1. Copy the Script 1. Open TradingView 2. Go to Pine Script Editor 3. Create a new indicator 4. Copy the entire `candle_pattern_strategy.pine` content 5. Click "Add to Chart" ### 2. Apply to Chart - Select your preferred timeframe (1m, 5m, 15m, 1h, 4h, 1d) - Choose a trading symbol (stocks, forex, crypto, etc.) - The strategy will generate signals on all historical bars and in real-time ### 3. Configure Parameters 1. Right-click the strategy on chart → "Settings" 2. Adjust parameters in the "Inputs" tab 3. Strategy will recalculate automatically 4. Backtest results appear in the Strategy Tester panel ### 4. Backtesting 1. Click "Strategy Tester" (bottom panel) 2. Set date range for historical testing 3. Review performance metrics: - Win rate - Profit factor - Drawdown - Total returns ## Key Features ✅ **Execution Model Compliant** - Follows official Pine Script V6 standards ✅ **Global Scope** - All historical references in global scope for consistency ✅ **Adjustable Sensitivity** - Fine-tune all pattern detection thresholds ✅ **Real-time Updates** - Works on both historical and real-time bars ✅ **Visual Feedback** - Clear signals with labels and statistics table ✅ **Risk Management** - Built-in ATR-based stop loss and take profit ✅ **No Repainting** - Signals remain consistent after bar closes ## Important Notes ### Before Trading Live 1. **Backtest thoroughly**: Test on at least 6-12 months of historical data 2. **Paper trading first**: Practice with simulated trades 3. **Optimize parameters**: Find the best settings for your trading instrument 4. **Manage risk**: Never risk more than 1-2% per trade 5. **Monitor performance**: Review trades regularly and adjust as needed ### Market Conditions The strategy works best in: - Trending markets with clear directional bias - Range-bound markets with defined support/resistance - Markets with moderate volatility The strategy may underperform in: - Highly choppy/noisy markets (many false signals) - Markets with gaps or overnight gaps - Low liquidity periods ### Limitations - Works on chart timeframes only (not intrabar analysis) - Requires at least 5 bars of history (configurable) - Fixed exit rules may not suit all trading styles - No trend filtering (will trade both directions) ## Technical Details ### Historical Buffer Management The strategy declares maximum bars back to ensure enough historical data: ```pine max_bars_back(close, 20) max_bars_back(open, 20) max_bars_back(high, 20) max_bars_back(low, 20) ``` This prevents runtime errors when accessing historical candlestick data. ### Pattern Detection Algorithm ``` For each bar in lookback period: 1. Calculate (high - close) / (high - low) → close_to_high_ratio 2. If close_to_high_ratio ≤ (1 - threshold) → count as "Close at High" 3. Calculate (close - low) / (high - low) → close_to_low_ratio 4. If close_to_low_ratio ≤ (1 - threshold) → count as "Close at Low" 5. Calculate abs(close - open) / (high - low) → body_ratio 6. If body_ratio ≤ doji_threshold → count as "Doji" Signal Generation: 7. If doji_count ≥ cross_count_limit → SKIP_SIGNAL 8. If close_at_high_count ≥ 2 AND last_close_at_high → LONG_SIGNAL 9. If close_at_low_count ≥ 2 AND last_close_at_low → SHORT_SIGNAL ``` ## Example Scenarios ### Scenario 1: Bullish Signal ``` Last 5 bars pattern: Bar 1: Closes at high (95%) ✓ Bar 2: Closes at high (92%) ✓ Bar 3: Closes at mid (50%) Bar 4: Closes at low (10%) Bar 5: Closes at high (96%) ✓ (last bar) Result: - Close at high count: 3 (≥ 2) ✓ - Last closes at high: ✓ - Doji count: 0 (< 3) ✓ → LONG SIGNAL ✓ ``` ### Scenario 2: Skip Signal ``` Last 5 bars pattern: Bar 1: Doji pattern ✓ Bar 2: Doji pattern ✓ Bar 3: Closes at mid Bar 4: Doji pattern ✓ Bar 5: Closes at high Result: - Doji count: 3 (≥ 3) → SKIP SIGNAL - Market too chaotic ``` ## Performance Optimization ### Tips for Better Results 1. **Use Higher Timeframes**: 15m or higher reduces false signals 2. **Combine with Indicators**: Add volume or trend filters 3. **Seasonal Adjustment**: Different parameters for different seasons 4. **Instrument Selection**: Test on liquid, high-volume instruments 5. **Regular Rebalancing**: Adjust parameters quarterly based on performance ## Troubleshooting ### No Signals Generated - Check if lookback period is too large - Verify proximity thresholds aren't too strict (try 0.85 instead of 0.95) - Ensure doji limit allows for trading (try 4-5 instead of 3) ### Too Many False Signals - Increase proximity thresholds to 0.95+ - Reduce lookback period to 3-4 bars - Increase doji limit to 3-4 - Test on higher timeframes ### Strategy Tester Shows Losses - Review individual trades to identify patterns - Adjust stop loss and take profit ratios - Change lookback period and thresholds - Test on different market conditions ## References - (www.tradingview.com) - (www.tradingview.com) - (www.investopedia.com) - (www.investopedia.com) ## Disclaimer **This strategy is provided for educational and research purposes only.** - Not financial advice - Past performance does not guarantee future results - Always conduct thorough backtesting before live trading - Trading involves significant risk of loss - Use proper risk management and position sizing ## License Created: December 15, 2025 Version: 1.0 --- **For updates and modifications, refer to the accompanying documentation files.**
Pine Script® strategy
by masteraux101
IsAlgo - Support & Resistance Strategy► Overview: The Support & Resistance Strategy is designed to identify critical support and resistance levels and execute trades when the price crosses these levels. Utilizing a combination of a moving average, ATR indicator, and the highest and lowest prices, this strategy aims to accurately pinpoint entry and exit points for trades based on market movements. ► Description: The Support & Resistance Strategy leverages the ATR (Average True Range) and a moving average to identify key support and resistance levels. The strategy calculates these levels by measuring the distance between the current market price and the moving average. This distance is continuously compared with each new candle to provide an estimate of the support and resistance levels. The ATR is utilized to determine the width of these levels, ensuring they adjust to market volatility. To validate these levels, the strategy counts how often a candle’s low or high touches the estimated support or resistance and then bounces back. A higher frequency of such touches indicates a stronger, more reliable level. Once the levels are confirmed, the strategy waits for a candle to close above the resistance level or below the support level. A candle closing above the resistance triggers a long entry, while a candle closing below the support triggers a short entry. The strategy incorporates multiple stop-loss options to manage risk effectively. These options include setting stop-loss levels based on fixed pips, ATR calculations, or the highest/lowest prices of previous candles. Up to three take-profit levels can be set using fixed pips, ATR, or risk-to-reward ratios. A trailing stop feature adjusts the stop loss as the trade moves into profit, and a break-even feature moves the stop loss to the entry price once a certain profit level is reached. Additionally, the strategy can close trades if the price crosses the opposite support or resistance level or if a candle moves significantly against the trade direction. ↑ Long Entry Example: ↓ Short Entry Example: ► Features & Settings: ⚙︎ Levels: Configure the length, width, and ATR period for support and resistance levels. ⚙︎ Moving Average: Use an Exponential Moving Average (EMA) to confirm trend direction. This can be enabled or disabled. ⚙︎ Entry Candle: Define the minimum and maximum body size and the body-to-candle size ratio for entry candles. ⚙︎ Trading Session: Specify the trading hours during which the strategy operates. ⚙︎ Trading Days: Select which days of the week the strategy is active. ⚙︎ Backtesting: Set a backtesting period with start and end dates. This feature can be deactivated. ⚙︎ Trades: Customize trade direction (long, short, or both), position sizing (fixed or percentage-based), maximum open trades, and daily trade limits. ⚙︎ Trades Exit: Choose from various exit methods, including profit/loss limits, trade duration, or crossing the opposite support/resistance level. ⚙︎ Stop Loss: Set stop-loss levels using fixed pips, ATR-based calculations, or the highest/lowest price within a specified number of previous candles. ⚙︎ Break Even: Adjust the stop loss to break-even once certain profit conditions are met. ⚙︎ Trailing Stop: Automatically adjust the stop loss as the trade moves into profit. ⚙︎ Take Profit: Define up to three take-profit levels using fixed pips, ATR, or risk-to-reward ratios based on the stop loss. ⚙︎ Alerts: Receive alerts for significant actions such as trade openings and closings, with support for dynamic values. ⚙︎ Dashboard: A visual display on the chart providing detailed information about ongoing and past trades. ► Backtesting Details: Timeframe: 1-hour US30 chart Initial Balance: $10,000 Order Size: 5 Units Commission: $0.5 per contract Slippage: 5 ticks Stop Loss: Based on the opposite support/resistance level or break-even adjustments
Pine Script® strategy
by isalgo
Three Bars Play Strategy [JoseMetal]============ ENGLISH ============ - Description: This strategy is based on two simple candlestick patterns (you can pick between 2 variants) with an extra option to require trigger candles to be opposite to the closing one (explained below). There are several customizable settings such as take profit, stop loss and break even (all based on ATR). You can customize starting and ending date for the testings. Other options such as allow switch position if strategy SHORTs when you are LONG and vice versa. There's an additional optional EMA filter. - LONG / SHORT ENTRY: Original pattern: for LONG, current candle must close ABOVE the HIGH of previous candle and the candle 3 positions back, opposite conditions for SHORT. Variant pattern: for LONG, the current candle must close ABOVE the HIGH of the previous candle and the candle before that one too, opposite conditions for SHORT. Optional: require the trigger candles to be opposite, ex: for LONG you need the previous candles to be RED (bearish). Optional: EMA filter, price must be ABOVE for LONGs, below for SHORTs. - EXIT CONDITION: Stop Loss or Take Profit, based on ATR. - Visual: The script prints the Take Profit as a GREEN line, Stop Loss as a RED line and entry price with a WHITE line. If enabled, the Break Even required price is BLUE, and the new Stop Loss level (for break even or protecting profit) is AQUA. - Recommendations: This strategy is great on DAILY on most assets, including crypto, forex and gold. 12H seems to work in most cases, lower timeframes are worse. - Customization: You can customize indicator settings (ATR, EMA...). Stop Loss and Take Profit ATR multipliers are also customizable. The break even is optional, required level and break even levels (also based on ATR) are custom too. Almost everything is customizable, for colors and plotting styles check the "Style" tab. Enjoy! ============ ESPAÑOL ============ - Descripción: Ésta estrategia se basa en dos patrones simples de velas (puedes elegir entre 2 variantes) con una opción extra para requerir que las velas de activación sean opuestas a la de cierre (se explica más adelante). Hay varios ajustes personalizables como el take profit, el stop loss y el break even (todos basados en el ATR). Puedes personalizar la fecha de inicio y finalización de las pruebas. Otras opciones como permitir el cambio de posición si la estrategia cambie a SHORT cuando está LONG y viceversa. Hay un filtro de EMA opcional adicional. - ENTRADA LARGA / CORTA: Patrón original: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y de la vela 3 posiciones atrás, condiciones opuestas para SHORT. Patrón variante: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y la vela anterior a esa también, condiciones opuestas para SHORT. Opcional: requiere que las velas de activación sean opuestas, por ejemplo: para LONG requiere que las velas anteriores sean ROJAS (bajistas). Opcional: fltro EMA, el precio debe estar POR ENCIMA para los LONGs, por debajo para los SHORTs. - CONDICIÓN DE SALIDA: Stop Loss o Take Profit, basado en el ATR. - Visual: El script dibuja el Take Profit como una línea VERDE, el Stop Loss como una línea ROJA y el precio de entrada con una línea BLANCA. Si está habilitado, el precio de break even requerido es AZUL, y el nuevo nivel de Stop Loss (para el break even o asegurar ganancias) es CELESTE. - Recomendaciones: Ésta estrategia es estupenda en DIARIO en la mayoría de los activos, incluyendo criptos, fórex y oro. En 12H parece funcionar en la mayoría de los casos, las temporalidades inferiores son peores. - Personalización: Puedes personalizar la configuración de los indicadores (ATR, EMA...). Los multiplicadores de Stop Loss y Take Profit ATR también son personalizables. El break even es opcional, el nivel requerido y los niveles de break even (también basados en ATR) son personalizables también. Casi todo es personalizable, para los colores y estilos de trazado compruebe la pestaña "Estilo". ¡Que lo disfrutes!
Pine Script® strategy
by JoseMetal
1
3LS | 3 Line Strike Strategy [Kintsugi Trading]What is the 3LS | 3 Line Strike Strategy? Incorporating the 3 Line Strike candlestick pattern into our strategy was inspired by Arty at The Moving Average and the amazing traders at TheTrdFloor . The Three Line Strike is a trend continuation candlestick pattern consisting of four candles. Depending on their heights and collocation, a bullish or a bearish trend continuation can be predicted. In a symphony of trend analysis, price action, and volume we can find and place high-probability trades with the 3LS Strategy. How to use it! ----- First, start by choosing a Stop-Loss Strategy, Stop PIP Size, and Risk/Reward Ratio ----- - Stop-Loss Strategy Fixed PIP Size – This uses the top/bottom of the indicator candle and places a TP based on the chosen Risk:Reward ratio. ATR Trail (No set Target Profit, only uses ATR Stop) ATR Trail-Stop (Has set Target Profit, however, stop is based on ATR inputs) **If you choose an ATR Stop-Loss Strategy - input the desired ATR period and Multiple you would like the stop to be calculated at** **ATR Stop-Loss Strategies have a unique alert setup for Auto-Trading. See Auto-Trading Section** - Risk/Reward Ratio = If you have a .5 risk/reward, it means you are risking $100 to make $50. - Additional Stop PIP Size = Number of PIPs over the default stop location of the top or bottom of the indicator candle. ----- Next, we set the Session Filter ----- Set the Timezone and Trade Session you desire. If no specific session is desired, simply set the Trade Session to 00:00 - 00:00. ----- Next, we set the Moving Average Cloud Fill ----- Enter the Fast and Slow Moving Average Length used to calculate trend direction: MA Period Fast MA Period Slow These inputs will determine whether the strategy looks for Long or Short positions. ----- Next, we set the VSA – Volume Spread Analysis Settings ----- Check the box to show the indicator at the bottom of the chart if desired. This is just a different visual output of the VSA | Volume Spread Analysis indicator available for free under the community indicators tab. You can add that indicator to your chart and see the same output in candle format. In combination with the Moving Average Cloud, the Volume Spread Analysis will help us determine when to take a trade and in what direction. The strategy is essentially looking for small reversals going against the overall trend and placing a trade once that reversal ends and the price moves back in the direction of the overall trend. The 3LS Strategy utilizes confirmation between trend, volume, and price action to place high probability trades. The VSA is completely customizable by: Moving Average Length MA-1 Multiplier MA-2 Multiplier MA-3 Multiplier Check out the VSA | Volume Spread Analysis indicator in the community scripts section under the indicators tab to use this awesome resource on other strategies. ----- Next, we have the option to view the automated KT Bull/Bear Signals ----- Check the boxes to show the buy-sell signal on the chart if desired. ----- Next, we set the risk we want to use if Auto Trading the strategy ----- I always suggest using no more than 1-3% of your total account balance per trade. Remember, if you have multiple strategies triggering per day with each using 1%, the total percent at risk will be much larger. For Example – if you have 10 strategies each risking 1% your total risk is 10% of your account, not 1%! Be mindful to only use 1-3% of your total account balance across all strategies, not just each individual one. ----- Finally, we backtest our ideas ----- After using the 'Strategy Tester' tab on TradingView to thoroughly backtest your predictions you are ready to take it to the next level - Automated Trading! This was my whole reason for creating the script. If you work a full-time job, live in a time zone that is hard to trade, or just don't have the patience, this will be a game-changer for you as it was for me. Auto-Trading When it comes to auto-trading this strategy I have included two options in the script that utilize the alert messages generated by TradingView. *Note: Please trade on a demo account until you feel comfortable enough to use real money, and then please stick to 1%-2% of your total account value in risk per trade.* AutoView PineConnector **ATR Auto-Trading Alert Setup** How to create alerts on 3 Line Strike Strategy For Trailing Stops: 1) Adjust autoview/pineconnector settings 2) Click "add alert" 3) Select "Condition" = Strategy Name 4) Select "Order Fills Only" from the drop-down 3) Remove template message text from "message" box and place the exact text. '{{strategy.order.alert_message}}' 4) Click "create" For Fixed Pip Stop: 1) Adjust autoview/pineconnector settings 2) Click "add alert" 3) Select "Condition" = Strategy Name 4) Select "alert() function calls only" 5) I like to title my Alert Name the same thing I named it as an Indicator Template to keep track Good luck with your trading!
Pine Script® strategy
by KintsugiTrading
7
Hammers & Stars StrategyOverview This script trades basic hammer and shooting star candlestick patterns. It's an extremely simple strategy with minimal filters, and according to my personal manual backtesting and automated trading results, performs best on the Daily chart on certain forex pairs. It is intended to be traded on the forex markets but theoretically should work on all markets (especially if you optimize the settings). The script also comes with complete AutoView automation for Oanda. Make sure you've connected AutoView to TradingView and Oanda, then simply set an alert using the "alert() function calls only" condition and it will automatically execute trades based on whatever settings you've selected (only recommended for experienced traders - use at your own risk!) If you're not sure how to set up AutoView, search "The Art of Trading AutoView Guide" on YouTube to find my detailed video guide. Check out my website and YouTube channel for more information, scripts, resources and free Pine Script & trading lessons (link in my profile). Best of luck with your trading! - Matt / The Art of Trading Settings Menu Tooltips are included explaining what the various settings do, but here's a quick summary: Strategy Settings >= ATR Filter: Minimum size of entry candle compared to ATR <= ATR Filter: Maximum size of entry candle compared to ATR Stop Loss ATR: Stop loss multiplier (x ATR) R:R: Risk:Reward profile Fib Level: Used to calculate upper/lower third of candle. (For example, setting it to 0.5 will mean hammers must close >= 50% mark of the total candle size) Start Date Filter: Date & time to begin trading from End Date Filter: Date & time to stop trading AutoView Oanda Settings Use Oanda Demo: If turned on then oandapractice broker prefix will be used for AutoView alerts (demo account). If turned off then live account will be used Use Limit Order: If turned on then AutoView will use limit orders. If turned off then market orders will be used (recommended to use limit order to mitigate spread issues) Days To Leave Limit Order: This is your GTD setting (good til day) Account Balance: Your account balance (used for calculating position size) Account Currency: Your account balance currency (used for calculating position size) Risk Per Trade %: Your risk per trade as a % of your account balance
Pine Script® strategy
by ZenAndTheArtOfTrading
28
Color Code Overlay StrategyColor Code Overlay Strategy This strategy utilizes a custom color-coded overlay to provide accurate buy and sell signals based on dynamic color changes of the candles. The indicator works by calculating a color shift between bullish (green) and bearish (red) candles, with the color change logic driven by both price movement and volatility. How the Color Change is Calculated: The color change is determined by comparing the closing price relative to the opening price of each candle, as is typical with a traditional bullish or bearish candle. However, to make this strategy more adaptive to market conditions, the color change is further refined by incorporating the Average True Range (ATR). Volatility Adjusted Color Shift: The strategy calculates a dynamic threshold based on the ATR value, which represents market volatility. If the price movement between the open and close of the candle exceeds a specific percentage of the ATR, the color of the candle shifts from red (bearish) to green (bullish) or vice versa. Threshold Calculation: A fixed percentage (e.g., 1%) of the ATR range is used to define the minimum price movement required for a color change. This ensures that only significant price movements, adjusted for volatility, trigger the color shift. The larger the ATR (higher volatility), the greater the price movement required to cause a change in color. Bullish to Bearish (Green to Red): When the candle closes lower than the open, and the price movement exceeds the dynamic threshold based on ATR, the candle color changes from green to red, signaling a potential bearish reversal. Bearish to Bullish (Red to Green): When the candle closes higher than the open, and the price movement exceeds the ATR-based threshold, the candle color shifts from red to green, signaling a potential bullish reversal. Key Features: Dynamic Color Change: The strategy identifies key color changes from bullish to bearish (green to red) and from bearish to bullish (red to green) based on specific thresholds in candle size. Customizable Timeframe: You can specify a custom trading window to restrict the strategy’s actions to specific hours of the day. Stop Loss and Take Profit: The strategy incorporates risk management features, allowing you to set a stop loss and take profit based on the price in pips. Flexible Trade Types: Choose between "Both" (long and short), "Long Only," or "Short Only" trading options to suit your preferred trading style. Visual Alerts: Receive visual alerts with arrows when color changes occur, signaling potential trade opportunities. Green arrows indicate a bullish shift, while red arrows show a bearish shift. This strategy is ideal for traders who prefer a color-coded overlay to easily visualize price action and make informed decisions based on bullish or bearish trends. Whether you’re looking for quick, short-term opportunities or analyzing market reversals, this strategy offers an intuitive approach to identifying trade signals.
Pine Script® strategy
by The_Forex_Steward
Optimized Heikin Ashi Strategy with Buy/Sell OptionsStrategy Name: Optimized Heikin Ashi Strategy with Buy/Sell Options Description: The Optimized Heikin Ashi Strategy is a trend-following strategy designed to capitalize on market trends by utilizing the smoothness of Heikin Ashi candles. This strategy provides flexible options for trading, allowing users to choose between Buy Only (long-only), Sell Only (short-only), or using both in alternating conditions based on the Heikin Ashi candle signals. The strategy works on any market, but it performs especially well in markets where trends are prevalent, such as cryptocurrency or Forex. This script offers customizable parameters for the backtest period, Heikin Ashi timeframe, stop loss, and take profit levels, allowing traders to optimize the strategy for their preferred markets or assets. Key Features: Trade Type Options: Buy Only: Enter a long position when a green Heikin Ashi candle appears and exit when a red candle appears. Sell Only: Enter a short position when a red Heikin Ashi candle appears and exit when a green candle appears. Stop Loss and Take Profit: Customizable stop loss and take profit percentages allow for flexible risk management. The default stop loss is set to 2%, and the default take profit is set to 4%, maintaining a favorable risk/reward ratio. Heikin Ashi Timeframe: Traders can select the desired timeframe for Heikin Ashi candle calculation (e.g., 4-hour Heikin Ashi candles for a 1-hour chart). The strategy smooths out price action and reduces noise, providing clearer signals for entry and exit. Inputs: Backtest Start Date / End Date: Specify the period for testing the strategy’s performance. Heikin Ashi Timeframe: Select the timeframe for Heikin Ashi candle generation. A higher timeframe helps smooth the trend, which is beneficial for trading lower timeframes. Stop Loss (in %) and Take Profit (in %): Enable or disable stop loss and take profit, and adjust the levels based on market conditions. Trade Type: Choose between Buy Only or Sell Only based on your market outlook and strategy preference. Strategy Performance: In testing with BTC/USD, this strategy performed well in a 4-hour Heikin Ashi timeframe applied on a 1-hour chart over a period from January 1, 2024, to September 12, 2024. The results were as follows: Initial Capital: 1 USD Order Size: 100% of equity Net Profit: +30.74 USD (3,073.52% return) Percent Profitable: 78.28% of trades were winners. Profit Factor: 15.825, indicating that the strategy's profitable trades far outweighed its losses. Max Drawdown: 4.21%, showing low risk exposure relative to the large profit potential. This strategy is ideal for both beginner and advanced traders who are looking to follow trends and avoid market noise by using Heikin Ashi candles. It is also well-suited for traders who prefer automated risk management through the use of stop loss and take profit levels. Recommended Use: Best Markets: This strategy works well on trending markets like cryptocurrency, Forex, or indices. Timeframes: Works best when applied to lower timeframes (e.g., 1-hour chart) with a higher Heikin Ashi timeframe (e.g., 4-hour candles) to smooth out price action. Leverage: The strategy performs well with leverage, but users should consider using 2x to 3x leverage to avoid excessive risk and potential liquidation. The strategy's low drawdown allows for moderate leverage use while maintaining risk control. Customization: Traders can adjust the stop loss and take profit percentages based on their risk appetite and market conditions. A default setting of a 2% stop loss and 4% take profit provides a balanced risk/reward ratio. Notes: Risk Management: Traders should enable stop loss and take profit settings to maintain effective risk management and prevent large drawdowns during volatile market conditions. Optimization: This strategy can be further optimized by adjusting the Heikin Ashi timeframe and risk parameters based on specific market conditions and assets. Backtesting: The built-in backtesting functionality allows traders to test the strategy across different market conditions and historical data to ensure robustness before applying it to live trading. How to Apply: Select your preferred market and chart. Choose the appropriate Heikin Ashi timeframe based on the chart's timeframe. (e.g., use 4-hour Heikin Ashi candles for 1-hour chart trends). Adjust stop loss and take profit based on your risk management preference. Run backtesting to evaluate its performance before applying it in live trading. This strategy can be further modified and optimized based on personal trading style and market conditions. It’s important to monitor performance regularly and adjust settings as needed to align with market behavior.
Pine Script® strategy
by markontie
8
Eagle_AlgoGram_IndicatorHello traders! I have been developing Eagle trading indicator over the last year. This algorithm indicator is based on a set of different strategies, each with its own weight (weighted strategy). The set of strategies that I currently use are 4: Stochastic RSI ADX MA crossover Keltner Channel Moreover, this indicator includes STOP losses criteria and a taking profit strategy. this indicator must be optimized for the desired asset to achieves its full potential. Best Time-Frame : The 5 & 8 Minutes Time frame give good results. The algo has been tested for several asset (same dataframe, different optimization values). When to Buy & Sell : Buy Entry & Exit : Take entry when Green Arrow or Buy Trigger on screen & Exit when Purple Arrow or exit trigger on screen Sell Exit & Exit : Take entry when Red Arrow or Sell Trigger on screen & Exit when Purple Arrow or exit trigger on screen Important note: Backtest the algorithm with different data stamps to avoid overfitting results How it works: The algorithm is based on a combination of well-documented indicators. First, the algorithm calculated the weight_strategy, which represents a value from 0 to 5 of the number of strategies that are fulfilled (in case the weight of each strategy is the same). To open a position, the value of weight_strategy must be greater than the value of weight_signal, by default 2. Modify the indicator parameters for the desired asset and data frame. Set stop-loss and take profit criteria. Features: * The algorithm allows to trade with long, short or both positions. * Backtest the algorithm over a defined interval (data stamp), e.g., from 2022 * stop loss (SL) orders based on movement of the previous candle source, e.g., close or candle volatility . Only close the position after the candle is close! * It can moves the stop loss when this indicator takes profit (TP) * Take profit based on market movement and once all condition true they push exit order * Define delays to evaluate the strategies of more previous candles: + Candle delay Stoch RSI is for the Stochastic RSI strategy. + Candle delay Exit is the number of candles the algorithm waits to open a new position. * Choose if you want to use the weighted strategy or just some of them. * Choose the weight (relevance) of each strategy. * Customize the well-documented Stochastic RSI strategy. * Customize the well documented MA cross strategy. Disclaimer : AlgoGram Script,Indicator,Strategy,Trading Idea & presentations are only for educational & Research purposes and are not intended as investment advice. I cannot guarantee the accuracy of any information provided above , please take trade with help of your Financial adviser or on your own risk Cheers! & Best Of Luck By AlgoGram
Pine Script® strategy
by AlgoGram
Reversal closing priceThe reversal closing price (RCP) is a candlestick pattern which follows two simples rules: the low price of current candle needs to be lower than the low price of the last 2 candles the closing price of current candle needes to be higher than the closing price of the last candle This generates a signal for a long position. For a short position, the conditions are inverted: the high price of current candle needs to be higher than the high price of the last 2 candles the closing price of current candle needes to be lower than the closing price of the last candle Since RCP is a trend follower indicator, the strategy is programmed in such a way that long positions are only placed if the short period EMA is above the long period EMA, and short positions are only placed if the short EMA is bellow the long EMA. Both periods are configurable, and should be ajusted for each asset. This strategy uses a fixed stop loss and take profit, and the it's ratio is configurable. The stop price is one tick lower than the lowest price of X candles prior to the order execution for long positions, while in short positions it's one tick higher than the higher price. The amount of candles to lookback (X) is configurable. Both stop and take profit prices are displayed, the first as a red line, and the second as a green line. This is the setting that I've found to work best with TVC:SPX , but you may find a better setting. While the RCP is universal, it's placement depends on the trend and it's strenght, something that is very heterogeneous among assets. I really wish that I was able to place images, but I don't have PRO, so text will have to do. This strategy was designed by Alexandre Wolwacz, a.k.a. Stormer.
Pine Script® strategy
by EduardoMattje
9
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools. Recommended Input Parameters These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading. Fast EMA Length (emaFastLen): 9 Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe. Slow EMA Length (emaSlowLen): 21 Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction. RSI Length (rsiLen): 14 Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes. RSI Overbought (rsiOverbought): 75 Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets. RSI Oversold (rsiOversold): 25 Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals. MACD Fast Length (macdFast): 12 Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals. MACD Slow Length (macdSlow): 26 Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much. MACD Signal Smoothing (macdSignal): 9 Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart. Bollinger Bands Length (bbLen): 20 Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets. Bollinger Bands Multiplier (bbMult): 2.0 Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets. Stop Loss % (slPerc): 0.8% Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable. Take Profit % (tpPerc): 1.5% Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits. Use Candlestick Patterns (useCandlePatterns): True Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets. Use Volume Filter (useVolumeFilter): True Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets. Signal Arrow Size (signalSize): 2.0 Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action. Background Highlight Transparency (bgTransparency): 85 Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter. How to Apply These Parameters Copy the Script: Use the Pine Script provided in the previous response. Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart." Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields. Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart. Fine-Tuning for Optimal Performance To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features: Backtesting: Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance). Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester. Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways). Parameter Optimization: In the Strategy Tester, click the settings gear next to the strategy name. Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0). Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data. Market-Specific Adjustments: Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings. Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better. Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends. Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise. Forward Testing: After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions. Important Notes No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices. Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance. Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare. Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds. If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Pine Script® strategy
by Hilly1976
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System ## Strategy Overview The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities. The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences. ## Core Algorithm Architecture The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods. The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly. RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments. Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion. ## Advanced Position Management System The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications. Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments. Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications. ## Comprehensive Risk Management Framework The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades. The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions. Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations. The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders. ## Visual Customization and Interface Design The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections. Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements. Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections. ## Signal Quality Enhancement Features The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality. Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization. Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations. ## Implementation Guidelines and Optimization The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability. Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations. Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition. ## Performance Considerations and Risk Disclosure The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions. Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise. Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods. ## Technical Specifications The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions. Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework. Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision. ## Conclusion The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions. Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
Pine Script® strategy
by Mutanabby_AI
3
Gabriel's Price Action Strategy🧠 Gabriel's Price Action Strategy — Smart Signal Sequence with Dynamic Risk Control Created by: OneWallStreetQuant Strategy Type: Momentum-based Sequence Logic + Smart Volume & RSI Filters Ideal For: Intraday scalping, swing trading, and momentum trend entries on stocks, forex, crypto, indices. 🚀 Overview Gabriel's Price Action Strategy is a multi-layered, logic-driven trading system that combines: ✅ Candle Sequence Detection: Detects persistent bullish/bearish momentum using a smart configurable sequence of green/red candles. ✅ Structure Break Filtering: Prevents entries if recent price invalidates the momentum setup (e.g., a red candle breaks a bullish low). ✅ Custom Volume Engine: Integrates a hybrid tick-volume model using Negative/Positive Volume Index (NVI-PVI) to identify smart money flows. ✅ Advanced RSI Logic: Uses Jurik RSX for accurate oversold/overbought filtering. ✅ Optional MTF Trend Filter: Validates trend direction using a slope-based Jurik MA on higher timeframes. ✅ MPT-Based DMI Filter: Adds pyramid entries only during strong trend phases, based on Gain/Pain ratios and Ulcer-index smoothed ADX. ✅ Risk Management: ATR-based SL/TP and fully customizable trailing logic for both profit and stop-loss. 📈 Entry Logic Trades are triggered only when: A minimum number of recent candles are bullish/bearish (Min Green/Red Candles) Structure has not been broken by opposite price action (optional) Relative volume exceeds average (optional) RSI is below overbought or above oversold (optional) MTF slope is aligned with trend direction (optional) 💡 Key Features Custom Candle Logic: Detects momentum shifts using a tunable lookback window (up to 50 bars). Smart Volume Filtering: Volume is intelligently estimated using tick-based ranges and NVI-PVI deltas. Risk Management Built-in: Set your ATR length, SL/TP multipliers, and dynamic trailing offsets with full control. Scorecard System: A built-in scoring engine evaluates Win Rate, Drawdown, Sharpe Ratio, Recovery Factor, and Profit Factor — visualized on chart as a label. Backtest-Friendly: Includes date range toggles, bar-magnifier support, and optimized execution on every tick. 📊 Strategy Scorecard (Label) Automatically calculates: ✅ Total Trades ✅ Win Rate (%) ✅ Net Profit ✅ Profit Factor ✅ Expected Payoff ✅ Max & Avg Drawdown ✅ Recovery Factor ✅ Sharpe Ratio ✅ VaR (95%) Plus, assigns a normalized score from 0 to 100 for evaluating overall robustness. ⚙️ Customization Every module — from entry filters to pyramiding and trailing logic — is fully configurable: Volume Filters ✅ RSI Filters ✅ Structure Break Checks ✅ HTF Jurik MA & Slope Threshold ✅ Multi-Timeframe Mode ✅ Backtest Score Visualization ✅ ⚠️ Notes Enable bar magnifier and calc on every tick for best accuracy. On early bars, signal logic may delay until enough candles are available. Best paired with assets showing directional volatility (SPY, BTC, ETH, Gold, etc.). Ideally paired on trending timeframes such as M1, M5, M15, M30, 1HR, 4 Hourly, Daily, Weekly, Monthly, etc.
Pine Script® strategy
by GabrielAmadeusLau
1
Scalping Strategy Signal v2 by [INFINITYTRADER]Overview This Pine Script (v6) implements a scalping strategy that uses higher timeframe data (default: 4H) to generate entry and exit signals, originally designed for the 15-minute timeframe with an option for 30-minute charts. The "Scalping Strategy Signal v2 by " integrates moving averages, RSI, volume, ATR, and candlestick patterns to identify trading opportunities. It features adjustable risk management with ATR-based stop-loss, take-profit, and trailing stops, plus dynamic position sizing based on user-set capital. Trades trigger only on the higher timeframe candle close (e.g., 4H) to limit activity within the same period. This closed-source script offers a structured scalping approach, blending multiple entry methods and risk controls for adaptability across market conditions. What Makes It Unique Unlike typical scalping scripts relying on single-indicator triggers (e.g., RSI alone or basic MA crossovers), this strategy combines four distinct entry methods—standard MA crossovers, RSI-based momentum shifts, trend-following shorts, and candlestick pattern logic—evaluated on a 4H timeframe for confirmation. This multi-layered design, paired with re-entry logic after losses and a mix of manual, ATR-based, and trailing exits, aims to balance trade frequency and reliability. The higher timeframe filter adds precision not commonly found in simpler scalping tools, while the 30-minute option enhances consistency by reducing noise. How It Works Timeframe Logic Runs on a base timeframe (designed for 15-minute charts, with a 30-minute option) while pulling data from a user-chosen higher timeframe (default: 4H) for signal accuracy. Limits entries to the close of each 4H candle, ensuring one trade per period to avoid over-trading in volatile conditions. Indicators and Data Moving Averages : Employs 21-period and 50-period simple moving averages on the higher timeframe to detect trends and signal entries/exits. Volume : Requires volume to exceed 70% of its 20-period average on the higher timeframe for momentum confirmation. RSI : Uses a 14-period RSI for overbought/oversold filtering and a 6-period RSI for precise entry timing. ATR : Applies a 14-period Average True Range on the higher timeframe to set adaptive stop-loss and take-profit levels. Candlestick Patterns : Analyzes consecutive green or red 4H bars for trend continuation signals. Why These Indicators The blend of moving averages, RSI, volume, ATR, and candlestick patterns forms a robust scalping framework. Moving averages establish trend context, RSI filters momentum and avoids extremes, volume confirms market activity, ATR adjusts risk to volatility, and candlestick patterns enhance entry timing with price action insights. Together, they target small, frequent moves in flat or trending markets, with the 4H filter reducing false signals common in lower-timeframe scalping. Entry Conditions Four entry methods are evaluated at the 4H candle close: Standard Long Entry: Price crosses above the 21-period moving average, volume exceeds 70% of its 20-period average, and the 1H 14-period RSI is below 70—confirms uptrend momentum. Special Long Entry: The 6-period RSI crosses above 23, price is more than 1.5 times the ATR from the 21-period moving average, and price exceeds its prior close—targets oversold bounces with a stop-loss at the 4H candle’s low. Short Entries: - RSI-Based: The 6-period RSI crosses below 68 with volume support—catches overbought pullbacks. - Trend-Based: Price crosses below the 21-period moving average, volume is above 70% of its average, and the 1H 14-period RSI is above 30—confirms downtrends. Red/Green Bar Logic: Two consecutive green 4H bars for longs or red 4H bars for shorts—uses candlestick patterns for continuation, with a tight stop-loss from the base timeframe candle. Re-Entry Logic Long : After a losing special long, triggers when the 6-period RSI crosses 27 and price crosses the 21-period moving average. Short : After a losing short, triggers when the 6-period RSI crosses 50 and price crosses below the 21-period moving average. Purpose: Offers recovery opportunities with stricter conditions. Exit Conditions Manual Exits: Longs close if the 21-period MA crosses below the 50-period MA or the 1H 14-period RSI exceeds 68; shorts close if the 21-period MA crosses above the 50-period MA or RSI drops below 25. ATR-Based TP/SL: Stop-loss is entry price ± ATR × 1.5 (default); take-profit is ± ATR × 4 (default), checked at 4H close. Trailing Stop: Adjusts ±6x ATR from peak/trough, closing if price retraces within 1x ATR. Special/Tight SL: Special longs exit if price opens below the 4H candle’s low; 4th method entries use the base timeframe candle’s low/high, checked every bar. Position Sizing Bases trade value on user-set capital (default: 100 USDT), dividing by the higher timeframe close price for dynamic sizing. Visualization Displays a table at the bottom-right with current/previous signals, TP/SL levels, equity, trading pair, and trade size—color-coded for clarity (green for buy, red for sell). Inputs Initial Capital (USDT): Sets trade value (default: 100, min: 1). ATR Stop-Loss Multiplier: Adjusts SL distance (default: 1.5, min: 1). ATR Take-Profit Multiplier: Adjusts TP distance (default: 4, min: 1). Higher Timeframe: Selects analysis timeframe (options: 1m, 5m, 15m, 30m, 1H, 4H, D, W; default: 4H). Usage Notes Intended Timeframe: Designed for 15-minute charts with 4H confirmation for precision and frequency; 30-minute charts improve consistency by reducing noise. Backtesting: Adjust ATR multipliers and capital to match your asset’s volatility and risk tolerance. Risk Management: Combines manual, ATR, and trailing exits—monitor to avoid overexposure. Limitations: 4H candle-close dependency may delay entries in fast markets; RSI/volume filters can reduce trades in low-momentum periods. Backtest Observations Tested on BTC/USDT (4H higher timeframe, default settings: Initial Capital: 100 USDT, ATR SL: 1.5x, ATR TP: 4x) across market conditions, comparing 15-minute and 30-minute charts: Bull Market (Jul 2023 - Dec 2023): 15-Minute: 277 long, 219 short; Win Rate: 42.74%; P&L: 108%; Drawdown: 1.99%; Profit Factor: 3.074. 30-Minute: 257 long, 215 short; Win Rate: 49.58%; P&L: 116.85%; Drawdown: 2.34%; Profit Factor: 3.14. Notes: Moving average crossovers and green bar patterns suited this bullish phase; 30-minute improved win rate and P&L by filtering weaker signals. Bear Market (Jan 2022 - Jun 2022): 15-Minute: 262 long, 211 short; Win Rate: 44.4%; P&L: 239.80%; Drawdown: 3.74%; Profit Factor: 3.419. 30-Minute: 250 long, 200 short; Win Rate: 52.22%; P&L: 258.77%; Drawdown: 5.34%; Profit Factor: 3.461. Notes: Red bar patterns and RSI shorts thrived in the downtrend; 30-minute cut choppy reversals for better consistency. Flat Market (Jan 2021 - Jun 2021): 15-Minute: 280 long, 208 short; Win Rate: 51.84%; P&L: 340.33%; Drawdown: 9.59%; Profit Factor: 2.924. 30-Minute: 270 long, 209 short; Win Rate: 55.11%; P&L: 315.42%; Drawdown: 7.21%; Profit Factor: 2.598. Notes: High trade frequency and P&L showed strength in ranges; 30-minute lowered drawdown for better risk control. Results reflect historical performance on BTC/USDT with default settings—users should test on their assets and timeframes. Past performance does not guarantee future results and is shared only to illustrate the strategy’s behavior. Why It Works Well in Flat Markets A "flat market" lacks strong directional trends, with price oscillating around moving averages, as in Jan 2021 - Jun 2021 for BTC/USDT. This strategy excels here because its crossover-based entries trigger frequently in tight ranges. In trending markets, an exit might not be followed by a new entry without a pullback, but flat markets produce multiple crossovers, enabling more trades. ATR-based TP/SL and trailing stops capture these small swings, while RSI and volume filters ensure momentum, driving high P&L and win rates. Technical Details Built in Pine Script v6 for TradingView compatibility. Prevents overlapping trades with long/short checks. Handles edge cases like zero division and auto-detects the trading pair’s base currency (e.g., BTC from BTCUSDT). This strategy suits scalpers seeking structured entries and risk management. Test on 15-minute or 30-minute charts to match your style and market conditions.
Pine Script® strategy
by infinity3168
36
CBC Strategy with Trend Confirmation & Separate Stop LossCBC Flip Strategy with Trend Confirmation and ATR-Based Targets This strategy is based on the CBC Flip concept taught by MapleStax and inspired by the original CBC Flip indicator by AsiaRoo. It focuses on identifying potential reversals or trend continuation points using a combination of candlestick patterns (CBC Flips), trend filters, and a time-based entry window. This approach helps traders avoid false signals and increase trade accuracy. What is a CBC Flip? The CBC Flip is a candlestick-based pattern that identifies moments when the market is likely to change direction or strengthen its trend. It checks for a shift in price behavior between consecutive candles, signaling a bullish (upward) or bearish (downward) move. However, not all flips are created equal! This strategy differentiates between Strong Flips and All Flips, allowing traders to choose between a more conservative or aggressive approach. Strong Flips vs. All Flips Strong Flips A Strong Flip is a high-probability setup that occurs only after liquidity is swept from the previous candle’s high or low. What is a liquidity sweep? This happens when the price briefly moves beyond the high or low of the previous candle, triggering stop-losses and trapping traders in the wrong direction. These sweeps often create fuel for the next move, making them powerful reversal signals. Examples: Long Setup: The price dips below the previous candle’s low (sweeping liquidity) and then closes higher, signaling a potential bullish move. Short Setup: The price moves above the previous candle’s high and then closes lower, signaling a potential bearish move. Why Use Strong Flips? They provide fewer signals, but the accuracy is generally higher. Ideal for trending markets where liquidity sweeps often mark key turning points. All Flips All Flips are less selective, offering both Strong Flips and additional signals without requiring a liquidity sweep. This approach gives traders more frequent opportunities but comes with a higher risk of false signals, especially in sideways markets. Examples: Long Setup: A CBC flip occurs without sweeping the previous low, but the trend direction is confirmed (slow EMA is still above VWAP). Short Setup: A CBC flip occurs without sweeping the previous high, but the trend is still bearish (slow EMA below VWAP). Why Use All Flips? Provides more frequent entries for active or aggressive traders. Works well in trending markets but requires caution during consolidation periods. How This Strategy Works The strategy combines CBC Flips with multiple filters to ensure better trade quality: Trend Confirmation: The slow EMA (20-period) must be positioned relative to the VWAP to confirm the overall trend direction. Long Trades: Slow EMA must be above VWAP (upward trend). Short Trades: Slow EMA must be below VWAP (downward trend). Time-Based Filter: Traders can specify trading hours to limit entries to a particular time window, helping avoid low-volume or high-volatility periods. Profit Target and Stop-Loss: Profit Target: Defined as a multiple of the 14-period ATR (Average True Range). For example, if the ATR is 10 points and the profit target multiplier is set to 1.5, the strategy aims for a 15-point profit. Stop-Loss: Uses a dynamic, candle-based stop-loss: Long Trades: The trade closes if the market closes below the low of two candles ago. Short Trades: The trade closes if the market closes above the high of two candles ago. This approach adapts to recent price behavior and protects against unexpected reversals. Customizable Settings Strong Flips vs. All Flips: Choose between a more selective or aggressive entry style. Profit Target Multiplier: Adjust the ATR multiplier to control the distance for profit targets. Entry Time Range: Define specific trading hours for the strategy. Indicators and Visuals Fast EMA (10-Period) – Black Line Slow EMA (20-Period) – Red Line VWAP (Volume-Weighted Average Price) – Orange Line Visual Labels: ▵ (Triangle Up) – Marks long entries (buy signals). ▿ (Triangle Down) – Marks short entries (sell signals). Credits CBC Flip Concept: Inspired by MapleStax, who teaches this concept. Original Indicator: Developed by AsiaRoo, this strategy builds on the CBC Flip framework with additional features for improved trade management. Risks and Disclaimer This strategy is for educational purposes only and does not constitute financial advice. Trading involves significant risk and may result in the loss of capital. Past performance does not guarantee future results. Use this strategy in a simulated environment before applying it to live trading.
Pine Script® strategy
by PumpCTrader
Cybertrading-Insidebar hunter pro robotThe Cybertrading-Inside Pro strategy is an advanced version of Cyber-Inside. It automates ATR-based inside-bar trading with optional pullback entries, full risk/reward visualization, time filtering, pending-order handling, and fixed chart watermark branding (“CollegePips / CyberTrading”). ⚙️ Technical Overview 1. Core Structure Uses ATR(14) to measure volatility and classify candle ranges. Candles are labeled as Spinning, Standard, Long, or Huge based on their range vs. ATR. Only valid candles (Standard or Long) qualify to confirm a setup. 2. Inside-Bar Logic The setup requires the current candle’s high/low to be fully contained inside the previous candle (an inside bar). A wick-break must occur — the wick slightly breaks the previous inside bar’s range while the body remains inside. This pattern forms a Pierce-Only signal. Direction: Wick down → potential Long entry Wick up → potential Short entry 3. Timing and Entry Conditions With the time filter enabled, trades trigger only between defined hours (e.g., 07–22). If Enable Pullback is on, the entry is placed using a limit order offset by pullbackATR × ATR from the signal candle. If the pullback entry isn’t triggered within pullbackMaxBars, the pending order is canceled automatically. You can also enable display-only entries without execution (Enable Entry Without Pullback). 4. Risk & Target Management Stop loss is placed beyond the second-previous candle’s high/low ± stopBuffer × ATR. Take-profit is based on the chosen risk/reward multiple (RR) or the previous candle’s high/low. Position size auto-adjusts to keep total risk equal to riskPercent of equity. 5. Visual Components Dynamic chart objects include: Red box: risk zone (entry → stop) Green/blue box: reward zone (entry → target) Dotted diagonal line: risk-to-reward path Arrows: actual fill points 6. Order Management System Each signal creates a unique order ID (pendingId) and exit ID (planExitId). On a valid fill (newLong / newShort), real stop, target, and position size are applied. If an order isn’t filled within the timeout window, it’s canceled and reset automatically. 7. Advantages ✅ Smart inside-bar pattern recognition ✅ Automated risk control and dynamic sizing ✅ Clear visual feedback for analysis ✅ Fully backtest-ready for research or education
Pine Script® strategy
by collegepips
Trend-based Price Action StrategyThis is a strategy script that combines trend-based price action analysis with the Relative Strength Index (RSI) and Exponential Moving Averages (EMA) as trend filters. Here's a summary of the key components and logic: Price Action Candlestick Patterns: Bullish patterns: Engulfing candle and Morning Star. Bearish patterns: Engulfing candle and Evening Star. RSI Integration: RSI is used to identify overbought and oversold conditions. EMA Trend Filter: Three EMAs with different periods: Fast , Medium and Slow. Long trend condition occur when the fast EMA is above the medium and the medium is above the slow EMA. Short trend condition occur when the slow EMA is above the medium and the medium is above the fast EMA. Long entry conditions: RSI is oversold, RSI is decreasing, bullish candlestick pattern, and EMA trend filter conditions are met. Short entry conditions: RSI is overbought, RSI is decreasing, bearish candlestick pattern, and EMA trend filter conditions are met. Exit conditions: Take profit or stop loss is reached. Plotting: Signals are plotted on the chart when entry conditions are met. EMAs are plotted when the EMA trend filter is enabled. This script aims to capture potential trend reversal points based on a combination of candlestick patterns, RSI, and EMA trend analysis. Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
Pine Script® strategy
by spudow
2
[Pt] TICK Supertrend Strategy, 5 minBackground: It is well known that the indices such as SPY and QQQ follow/represent market sentiment. The TICK index literally represents the market sentiment as it compares the number of stocks that are rising and falling on the NYSE. By default, the TICK index is a short term indicator. Therefore it isn't reliable for swing trading or long term strategies. However, it is perfect for scalping. Although TICK is well known, many does not know how to use it effectively. As part of the background mechanism of this script, I’ve divided TICK into 5 major zones based on the close of each candle: Overbought (neutral with bearish bias), Bullish, Neutral, Bearish, and Oversold (neutral with bullish bias). Along with the use of Heikin Ashi technique, RSI, moving averages and candle analysis, this strategy aims to provide accurate representation of market sentiment and profitable entry and exit points. *** At the time of publication, this strategy has proved to be consistently profitable. HOWEVER, this DOES NOT guarantee future profitability. So use at your own risk! *** What is it showing? This strategy is an intraday scalping strategy that uses TICK data to predict market directions for optimal entry and exit points. It is displayed similarly to the famous Supertrend indicator, which is one of the most common ATR based trailing stop indicators, so visually it is easy to read. This strategy is suitable for trading indices such as SPX , SPY , SPX500USD , QQQ , DJI and any other tickers that have high positive correlation with TICK. Script is proprietary, but as mentioned it incorporates the following elements with additional candlestick analysis, pattern recognition, stop-loss and profit taking strategy: - NYSE TICK data - Heikin Ashi candle technique - ATR - RSI - Moving Averages Bullish trend is determined by a confluence of said indicators and analyses, and is displayed as a green line under the price action. The distance is defined by an adjustable value that is based on a percentage of the previous daily ATR value. When a long order is in play, that line also acts as the stop-loss level. Bearish trend is the opposite and is displayed in red, by default. What's unique? Detecting a ranging market structure and avoiding overtrading in a choppy market has always proven to be difficult, even for the most professional traders. This strategy has built-in “choppiness” and volatility filtering scripts that attempts to help reduce the number of false entries. These elements are what makes this strategy unique and different from other indictors mashup strategies. In addition, this strategy takes previous trades into account and “learn” from past trades when determining the optimal stop-loss level to maximize profitability. This allows this strategy to better adapts to changing and evolving market conditions. Strategy statistics All parameters are designed for 5min time frame. At the time of publication, this strategy has proved to be consistently profitable through limited back testing data. Initial capital = $10000 Pyramiding = 1 Slippage = 3 ticks to account for spread Default leverage shown = 9x Quantity per trade = 100% of account Back testing period at time of publication = Apr 11, 2022 - July 22, 2022 Trading Session = 1000 - 1530 Mon-Fri Timeframe = 5 min Gain = 1338.48% Total trades = 253 % Profitable = 45.85% Profit Factor = 2.506 Max Drawdown = 19.36% Extras This release includes default AutoView alerts for trading SPX500USD on Oanda. It includes both long and short order entry alerts, and trailing stop-loss alerts. Please DM for free trial.
Pine Script® strategy
by PtGambler
66
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index. Recommended Markets SPX (Weekly, Monthly) SPY (Monthly) Tesla (Weekly) XAUUSD (Weekly, Monthly) NVDA (Weekly, Monthly) Meta (Weekly, Monthly) GOOG (Weekly, Monthly) MSFT (Weekly, Monthly) AAPL (Weekly, Monthly) System Rules and Parameters Total capital: $10,000 We will use 10% of the total capital per trade Commissions will be 0.1% per trade Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price). Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle. • Formula: (Previous Open + Previous Close) / 2. Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step. Once these parameters are met, the system executes a long entry and calculates the exit parameters: Stop Loss (SL): Placed at the low of the candle that generated the entry signal. Take Profit (TP): Calculated by projecting the risk distance upward. • Calculation: Entry Price + (Risk * 1). Risk:Reward Ratio of 1:1. About the Profit Factor In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance. For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades. My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage. Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high). Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings. For example, we can maintain a fixed loss percentage when volatility is low by using the following formula: Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size. For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size. 23.57% - 15% = 8.57% Suppose I use $200 per trade. To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200: $200 - $17.14 = $182.86 In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management. Final Notes The code is extremely simple, and every step of its development is detailed within it. If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
Pine Script® strategy
by OldWave96
2
SDR Market Structure (liv3) 1.0🧠 SDR Market Structure (LIV3) v1.0 Precision-Based Market Structure & Momentum Scalping Strategy Type: Market Structure-Based Scalping Built For: Intraday, Scalping, Trend-Following or Reversal entries with confirmation filters Assets: All (optimized for FX and indices) Timeframes: 1min to 15min (ideal for scalping); higher TFs can be used for structure alignment 🎯 Strategy Overview SDR Market Structure is a robust scalping strategy that combines structural market context (Change-of-Character, Break of Structure) with a modular system of technical filters that advanced traders can toggle on/off. The strategy is adaptable and surgical, designed to find high-probability trade entries during momentum shifts, liquidity grabs, and trend continuations. This script supports fine-tuned risk management, multiple confirmation layers, and intraday session filtering, allowing experienced traders to tailor it for precision-based trading in varying volatility regimes. 🔍 Core Logic: CHoCH and Market Structure At the heart of SDR Scalper is Change-of-Character (CHoCH) detection: Bullish CHoCH: Occurs when price breaks above a recent swing high (pivot) after making a lower low, implying a potential reversal or continuation. Bearish CHoCH: Triggers when price breaks below a recent swing low after making a higher high. Once a CHoCH is identified: Entry is confirmed only if all selected filters pass, ensuring high-confidence setups. SL is placed at the most recent swing low/high or an optional looser SL based on fractals. Break-even logic moves SL to entry upon hitting 1R. Risk-Reward ratio is fully customizable. 🛠️ Advanced Filter Modules Each filter module below can be toggled independently, allowing for custom filtering strategies based on trading conditions. 1️⃣ HTF EMA Filter Purpose: Confirms trend bias using a higher timeframe EMA (e.g., 55 EMA on 15-min TF). Logic: Longs: Entry only allowed if price > HTF EMA Shorts: Entry only allowed if price < HTF EMA Why Use It: Prevents counter-trend trades. Excellent when used during trending sessions. Best Paired With: EMA crossover filter or RSI for intraday trend alignment. 2️⃣ EMA Crossover Filter Inputs: Fast EMA (default 10), Slow EMA (default 50) Logic: Longs: Fast EMA must be above Slow EMA Shorts: Fast EMA below Slow EMA Enhancement: Adds a moving average structure filter to CHoCH. Good for filtering false breakouts during sideways markets. Combo Tip: Use alongside RSI/MACD filters to confirm trend momentum. 3️⃣ RSI Filter Default Period: 14 Logic: Longs: RSI > threshold (default 50) Shorts: RSI < threshold Edge: Useful for momentum confirmation in trending conditions. Advanced Use: Raise thresholds to 60/40 in strong trends. Combine with MACD to filter momentum exhaustion. 4️⃣ MACD Histogram Filter MACD Histogram > 0: Long entries only MACD Histogram < 0: Short entries only Purpose: Measures positive/negative momentum shifts, helpful in volatile breakouts. Pro Tip: Combine with ROC filter in fast-moving markets for maximum edge. 5️⃣ Rate of Change (ROC) Filter Default: 9-period Logic: Longs: ROC > threshold (default 0.0) Shorts: ROC < threshold Why It Works: Captures short bursts of momentum often missed by other lagging indicators. Combos That Work: MACD + ROC: Double momentum filter ROC + EMA crossover: Catch high-speed trend continuations 6️⃣ Stochastic RSI Filter Parameters: Customizable %K and %D smoothing Logic: Longs: StochRSI > threshold and K > D Shorts: StochRSI < threshold and K < D Use Case: Effective for mean-reversion and momentum crossovers near S/R zones. Advanced Tip: Use in ranging markets or to fade extended trends. 7️⃣ Time Filter Customize Start/End Time: Default is 09:30 - 16:00 (New York session) Supports Time Zones: Input via string (e.g., GMT+0, EST, etc.) Visual Aid: Background shading for valid sessions. Benefits: Avoids low-liquidity or overnight trading periods. Prevents false signals in pre/post-market sessions. 8️⃣ Loose Stop-Loss Option If Enabled: SL placed 1 fractal beyond the last pivot. Why: Helps in volatile assets like crypto where swing points are commonly breached before reversals. Note: Should be used with tight risk controls or lower position sizing. 💼 Risk Management & Break-Even Logic Risk-to-Reward Ratio: Adjustable via input Auto TP & SL: Based on defined RR and recent structure Break-Even Feature: Moves SL to entry after 1R is reached to protect capital 📈 Strategy Display Elements CHoCH & BoS Labels: Visual confirmation of structure breaks Liquidity Sweep (✖): Optional display for potential stop hunts Trend Color Candles: Highlights bullish or bearish candle clusters Session Overlay: Displays active time window on chart ⚙️ Recommended Configurations Objective Suggested Filters Trend Scalping HTF EMA + EMA Crossover + RSI Volatility Breakouts ROC + MACD Histogram + Time Filter Mean Reversion Stochastic RSI + RSI Structure-Only Mode Disable all filters except Time Filter Conservative Mode Enable all filters with tightened thresholds 📌 Final Notes This script is highly modular and is not a one-size-fits-all strategy. It is a framework that allows advanced traders to apply contextual judgment and optimize entries based on confluence. Extensive backtesting per asset and timeframe is highly recommended. 🛠️ Strategy Parameters Summary ✅ Market Structure Entry (CHoCH) ✅ Smart SL & Break-Even Logic ✅ Modular Momentum Filters (RSI, MACD, ROC, StochRSI) ✅ Trend Filters (HTF EMA, EMA Cross) ✅ Session Filtering & Visualization ✅ Liquidity Sweeps (optional) pinescript version5
Pine Script® strategy
by TheSawce23
Heiken Ashi Supertrend ATR-SL StrategyThis indicator combines Heikin Ashi candle pattern analysis with Supertrend to generate high-probability trading signals with built-in risk management. It identifies potential entries and exits based on specific Heikin Ashi candlestick formations while providing automated ATR-based stop loss management. Trading Logic: The system generates long signals when a green Heikin Ashi candle forms with no bottom wick (indicating strong bullish momentum). Short signals appear when a red Heikin Ashi candle forms with no top wick (showing strong bearish momentum). The absence of wicks on these candles signals a high-conviction market move in the respective direction. Exit signals are triggered when: 1. An opposite pattern forms (red candle with no top wick exits longs; green candle with no bottom wick exits shorts) 2. The ATR-based stop loss is hit 3. The break-even stop is activated and then hit Technical Approach: - Select Heiken Ashi Canldes on your Trading View chart. Entried are based on HA prices. - Supertrend and ATR-based stop losses use real price data (not HA values) for trend determination - ATR-based stop losses automatically adjust to market volatility - Break-even functionality moves the stop to entry price once price moves a specified ATR multiple in your favor Risk Management: - Default starting capital: 1000 units - Default risk per trade: 10% of equity (customizable in strategy settings) - Hard Stop Loss: Set ATR multiplier (default: 2.0) for automatic stop placement - Break Even: Configure ATR threshold (default: 1.0) to activate break-even stops - Appropriate position sizing relative to equity and stop distance Customization Options: - Supertrend Settings: - Enable/disable Supertrend filtering (trade only in confirmed trend direction) - Adjust Factor (default: 3.0) to change sensitivity - Modify ATR Period (default: 10) to adapt to different timeframes Visual Elements: - Green triangles for long entries, blue triangles for short entries - X-marks for exits and stop loss hits - Color-coded position background (green for long, blue for short) - Clearly visible stop loss lines (red for hard stop, white for break-even) - Comprehensive position information label with entry price and stop details Implementation Notes: The indicator tracks positions internally and maintains state across bars to properly manage stop levels. All calculations use confirmed bars only, with no repainting or lookahead bias. The system is designed for swing trading on timeframes from 1-hour and above, where Heikin Ashi patterns tend to be more reliable. This indicator is best suited for traders looking to combine the pattern recognition strengths of Heikin Ashi candles with the trend-following capabilities of Supertrend, all while maintaining disciplined risk management through automated stops.
Pine Script® strategy
by RohanSmith
1