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BTC/USD Enhanced High-Growth Impulse Strategy for 30-Min ChartOverview: This script combines trend-following and momentum-based entry/exit signals, optimized for BTC/USD on a 30-minute timeframe. It integrates Exponential Moving Averages (EMAs), Supertrend, and Average True Range (ATR) to identify potential trade opportunities with volatility-adjusted risk management. Indicators Explained: Exponential Moving Averages (EMAs): 21 EMA (Short-term): Identifies fast-moving price trends. 50 EMA (Medium-term): Captures broader momentum. 200 EMA (Long-term): Filters major market direction. These EMAs work together to signal trend crossovers, indicating shifts between bullish and bearish phases. Supertrend: This indicator highlights momentum and volatility. A positive Supertrend indicates strong upward momentum, while a negative Supertrend signals bearish momentum. Average True Range (ATR): ATR helps calculate dynamic stop loss and take profit levels. By adjusting exits to match market volatility, the strategy can respond to both fast-moving and consolidating conditions. Entry & Exit Conditions: Long Entry: The 21 EMA crosses above the 50 EMA. The price is above the Supertrend line, confirming bullish momentum. ATR volatility is above its 50-period moving average to filter out low-volatility conditions. Trade Exit: A stop loss is set at 2 ATR below the entry price, and the take profit is set at 6 ATR above. Short Entry: The 21 EMA crosses below the 50 EMA. The price is below the Supertrend line, confirming bearish momentum. ATR volatility exceeds the 50-period moving average. Trade Exit: A stop loss is set at 2 ATR above the entry price, and take profit at 6 ATR below. Default Strategy Settings: Position Size: 2% of equity per trade (configurable) Risk Management: Dynamic ATR-based stop loss and take profit Indicators: EMA 21, 50, and 200 for trend detection Supertrend (factor: 3, ATR period: 10) for momentum confirmation ATR for volatility-based risk control Performance Metrics: Optimal Timeframe: 30-minute chart Backtesting Results: Percent Profitable: 62% Profit Factor: 1.136 Average Trade Return: 0.14% Max Drawdown: 0.58% of equity Total Trades: 35 The strategy demonstrates stable performance across both trending and volatile market conditions. Keep in mind that past performance does not guarantee future results. Notes for Traders: Test this strategy with realistic commission and slippage to ensure results are accurate for your trading environment. While the strategy is designed for BTC/USD on the 30-minute timeframe, it may also perform well on other high-liquidity cryptocurrencies and timeframes with additional optimization. Avoid over-leveraging. We recommend allocating 1-2% equity per trade for risk control. Plot Information: The script visualizes key indicators: EMA 21 (blue), EMA 50 (red), EMA 200 (green) Supertrend (orange) Green/red background shading highlights bullish and bearish entry conditions. Disclaimer: This script is for educational purposes only. Use it as part of a comprehensive trading plan that includes proper risk management. Trading involves significant risk, and no strategy can predict future price movements with certainty.
Strategia Pine Script™
od cryptechcapital
Swing Trading Strategy - Indian MarketTrend Identification: The script uses 50 EMA and 200 EMA to identify the trend. Uptrend: 50 EMA > 200 EMA. Downtrend: 50 EMA < 200 EMA. Momentum Confirmation: RSI is used to confirm momentum. Buy when RSI crosses above 30 (oversold) in an uptrend. Sell when RSI crosses below 70 (overbought) in a downtrend. Volume Filter: The script checks if the current volume is 1.5x the average volume (adjustable) to confirm breakouts. Signals: Buy Signal: Green "BUY" label below the candle. Sell Signal: Red "SELL" label above the candle. Background Highlight: The background is highlighted green during an uptrend and red during a downtrend.
Wskaźnik Pine Script™
od PositionPlanners
Donchian Reversal Scanner by Hitesh2603How It Works: Bearish Side Logic: If the price is falling with bearish candles and touching the lower Donchian Channel, the bearishCondition flag is set to true. When a bullish candle appears afterward, the flag is reset, and the bullishReversalSquare condition becomes true. Bullish Side Logic: If the price is rising with bullish candles and touching the upper Donchian Channel, the bullishCondition flag is set to true. When a bearish candle appears afterward, the flag is reset, and the bearishReversalSquare condition becomes true. Plotting Squares: A green square is plotted below the candle when bullishReversalSquare is true. A red square is plotted above the candle when bearishReversalSquare is true. Scanner Output: The scanCondition variable is true when either bullishReversalSquare or bearishReversalSquare is true. How to Use the Script: On the Chart: Add the script to your chart. You will see squares plotted on the chart when the conditions are met: Green squares below the candle for bullish reversals. Red squares above the candle for bearish reversals. In the Scanner: Open the Scanner tab in TradingView. Click on "Create New Scanner". In the "Condition" field, select the script you just created. Choose the market or watchlist you want to scan (e.g., "NYSE", "NASDAQ", or a custom watchlist). Run the scan. The Scanner will return a list of instruments where the scanCondition is true. Why This Works: The scanCondition variable is now properly declared and used. The plotchar function explicitly outputs the scanCondition variable as a plot, which the Scanner can recognize.
Wskaźnik Pine Script™
od Hitesh2603
Price Imbalance as Consecutive Levels of AveragesOverview The Price Imbalance as Consecutive Levels of Averages indicator is an advanced technical analysis tool designed to identify and visualize price imbalances in financial markets. Unlike traditional moving average (MA) indicators that update continuously with each new price bar, this indicator employs moving averages calculated over consecutive, non-overlapping historical windows. This unique approach leverages comparative historical data to provide deeper insights into trend strength and potential reversals, offering traders a more nuanced understanding of market dynamics and reducing the likelihood of false signals or fakeouts. Key Features Consecutive Rolling Moving Averages: Utilizes three distinct simple moving averages (SMAs) calculated over consecutive, non-overlapping windows to capture different historical segments of price data. Dynamic Color-Coded Visualization: SMA lines change color and style based on the relationship between the averages, highlighting both extreme and normal market conditions. Median and Secondary Median Lines: Provides additional layers of price distribution insight during normal trend conditions through the plotting of primary and secondary median lines. Fakeout Prevention: Filters out short-term volatility and sharp price movements by requiring consistent historical alignment of multiple moving averages. Customizable Parameters: Offers flexibility to adjust SMA window lengths and line extensions to align with various trading strategies and timeframes. Real-Time Updates with Historical Context: Continuously recalculates and updates SMA lines based on comparative historical windows, ensuring that the indicator reflects both current and past market conditions. Inputs & Settings Rolling Window Lengths: Window 1 Length (Most Recent) Bars: Number of bars used to calculate the most recent SMA. (Default: 5, Range: 2–300) Window 2 Length (Preceding) Bars: Number of bars for the second SMA, shifted by Window 1. (Default: 8, Range: 2–300) Window 3 Length (Third Rolling) Bars: Number of bars for the third SMA, shifted by the combined lengths of Window 1 and Window 2. (Default: 13, Range: 2–300) Horizontal Line Extension: Horizontal Line Extension (Bars): Determines how far each SMA line extends horizontally on the chart. (Default: 10 bars, Range: 1–100) Functionality and Theory 1. Calculating Consecutive Simple Moving Averages (SMAs): The indicator calculates three SMAs, each based on distinct and consecutive historical windows of price data. This approach contrasts with traditional MAs that continuously update with each new price bar, offering a static view of past trends rather than an ongoing one. Mean1 (SMA1): Calculated over the most recent Window 1 Length bars. Represents the short-term trend. Mean1=∑i=1N1CloseiN1 Mean1=N1​∑i=1N1​​Closei​​ Where N1N1​ is the length of Window 1. Mean2 (SMA2): Calculated over the preceding Window 2 Length bars, shifted back by Window 1 Length bars. Represents the medium-term trend. \text{Mean2} = \frac{\sum_{i=1}^{N_2} \text{Close}_{i + N_1}}}{N_2} Where N2N2​ is the length of Window 2. Mean3 (SMA3): Calculated over the third rolling Window 3 Length bars, shifted back by the combined lengths of Window 1 and Window 2 bars. Represents the long-term trend. \text{Mean3} = \frac{\sum_{i=1}^{N_3} \text{Close}_{i + N_1 + N_2}}}{N_3} Where N3N3​ is the length of Window 3. 2. Determining Market Conditions: The relationship between the three SMAs categorizes the market condition into either extreme or normal states, enabling traders to quickly assess trend strength and potential reversals. Extreme Bullish: Mean3Mean2>Mean1 Mean3>Mean2>Mean1 Indicates a strong and sustained downward trend. SMA lines are colored purple and styled as dashed lines. Normal Bullish: Mean1>Mean2andnot in extreme bullish condition Mean1>Mean2andnot in extreme bullish condition Indicates a standard upward trend. SMA lines are colored green and styled as solid lines. Normal Bearish: Mean1Mean2>Mean1 Mean3>Mean2>Mean1 Normal Bullish: Mean1>Mean2andnot in Extreme Bullish Mean1>Mean2andnot in Extreme Bullish Normal Bearish: Mean1 Mean2 > Mean3 Visualization: All three SMAs are displayed as gold dashed lines. Median Lines: Not displayed to maintain chart clarity. Interpretation: Indicates a strong and sustained upward trend. Traders may consider entering long positions, confident in the trend's strength without the distraction of additional lines. 2. Normal Bullish Condition: SMAs Alignment: Mean1 > Mean2 (not in extreme condition) Visualization: Mean1 and Mean2 are green solid lines; Mean3 is gray. Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians. Interpretation: Confirms an upward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively. 3. Extreme Bearish Condition: SMAs Alignment: Mean3 > Mean2 > Mean1 Visualization: All three SMAs are displayed as purple dashed lines. Median Lines: Not displayed to maintain chart clarity. Interpretation: Indicates a strong and sustained downward trend. Traders may consider entering short positions, confident in the trend's strength without the distraction of additional lines. 4. Normal Bearish Condition: SMAs Alignment: Mean1 < Mean2 (not in extreme condition) Visualization: Mean1 and Mean2 are red solid lines; Mean3 is gray. Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians. Interpretation: Confirms a downward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively. Customization and Flexibility The Price Imbalance as Consecutive Levels of Averages indicator is highly adaptable, allowing traders to tailor it to their specific trading styles and market conditions through adjustable parameters: SMA Window Lengths: Modify the lengths of Window 1, Window 2, and Window 3 to capture different historical trend segments, whether focusing on short-term fluctuations or long-term movements. Line Extension: Adjust the horizontal extension of SMA and median lines to align with different trading horizons and chart preferences. Color and Style Preferences: While default colors and styles are optimized for clarity, traders can customize these elements to match their personal chart aesthetics and enhance visual differentiation. This flexibility ensures that the indicator remains versatile and applicable across various markets, asset classes, and trading strategies, providing valuable insights tailored to individual trading needs. Conclusion The Price Imbalance as Consecutive Levels of Averages indicator offers a comprehensive and innovative approach to analyzing price trends and imbalances within financial markets. By utilizing three consecutive, non-overlapping SMAs and incorporating median lines during normal trend conditions, the indicator provides clear and actionable insights into trend strength and price distribution. Its unique design leverages comparative historical data, distinguishing it from traditional moving averages and enhancing its utility in identifying genuine market movements while minimizing false signals. This dynamic and customizable tool empowers traders to refine their technical analysis, optimize their trading strategies, and navigate the markets with greater confidence and precision.
Wskaźnik Pine Script™
od garysebastianbrowniii
Percent Change HistogramThis indicator shows you percent changes in a super visual way using a color-coded histogram. Here's how the colors work: 🟩 Dark green = percent change is growing stronger 🟢 Light green = still positive but losing steam 🟥 Dark red = getting more negative 🔴 Light red = negative but improving The cool part? You can set any lookback period you want. For example: 24 periods on 1H chart = last 24 hours 30 periods on daily = last month 7 periods on daily = last week Pro tip: You're not locked to your chart's timeframe! Want to see monthly changes while trading on 5min? No problem. You can even stack multiple indicators to watch different intervals simultaneously (daily, weekly, monthly) - super helpful for multi-timeframe analysis. Perfect for spotting momentum shifts across different timeframes without switching between charts.
Wskaźnik Pine Script™
od strimaitis
7:15 PM Candle Highlighter//@version=5 indicator("7:15 PM Candle Highlighter", overlay=true) // Define the time for the 7:15 PM candle target_hour = 8 target_minute =30 // Check if the current candle matches the target time is_target_candle = (hour == target_hour) and (minute == target_minute) // Highlight the 7:15 PM candle with a rectangle if is_target_candle label.new(bar_index, high, "7:15 PM", color=color.new(color.blue, 0), textcolor=color.white, style=label.style_label_down, yloc=yloc.abovebar) box.new(left=bar_index, top=high, right=bar_index+1, bottom=low, border_color=color.blue, bgcolor=color.new(color.blue, 90)) // Optional: Plot a shape on the chart to indicate the 7:15 PM candle plotshape(is_target_candle, style=shape.labelup, location=location.belowbar, color=color.blue, text="7:15 PM", textcolor=color.white)
Wskaźnik Pine Script™
od shyamsundergorre
6 Medias Móviles con RSI, Dólar MEP y Tendencia Tendencia Mayoritaria: La variable trend se inicializa con el valor "Neutral", de forma explícita. Usé la palabra clave var para asegurarnos de que el valor de la variable trend se mantenga a través de las barras. Manejo del na: Se ha eliminado el uso de na de manera incorrecta y se ha utilizado una forma correcta de asignación, con valores explícitos para variables de tipo string. Valor del label: Se ha cambiado la posición del label a una forma más correcta de manejarlo, usando el índice de la barra. Tendencia: La variable trend ahora se evalúa correctamente sin errores.
Wskaźnik Pine Script™
od miguelangelhermosa7
Hourly & Daily Levels//@version=5 indicator("Hourly & Daily Levels", overlay=true, max_lines_count=500) // ——————— 1-Hour High/Low ——————— // var float hourHigh = na var float hourLow = na isNewHour = timeframe.change("60") if isNewHour hourHigh := high hourLow := low else hourHigh := math.max(hourHigh, high) hourLow := math.min(hourLow, low) // ——————— Previous Day High/Low ——————— // var float prevDayHigh = na var float prevDayLow = na isNewDay = timeframe.change("D") prevDayHigh := ta.valuewhen(isNewDay, request.security(syminfo.tickerid, "D", high ), 0) prevDayLow := ta.valuewhen(isNewDay, request.security(syminfo.tickerid, "D", low ), 0) // ——————— Plotting ——————— // // Current Hour Levels plot(hourHigh, "1H High", color.new(#00FF00, 0), 2, plot.style_linebr) plot(hourLow, "1H Low", color.new(#FF0000, 0), 2, plot.style_linebr) // Previous Day Levels plot(prevDayHigh, "Prev Day High", color.new(#006400, 0), 2, plot.style_circles) plot(prevDayLow, "Prev Day Low", color.new(#8B0000, 0), 2, plot.style_circles) // ——————— Background & Labels ——————— // bgcolor(isNewHour ? color.new(color.blue, 90) : na, title="Hourly Separation") bgcolor(isNewDay ? color.new(color.orange, 90) : na, title="Daily Separation") var label lbl1 = na var label lbl2 = na var label lbl3 = na var label lbl4 = na if barstate.islast lbl1 := label.new(bar_index, hourHigh, "Current Hour High " + str.tostring(hourHigh), color=#00FF00, style=label.style_label_left, textcolor=color.white) lbl2 := label.new(bar_index, hourLow, "Current Hour Low " + str.tostring(hourLow), color=#FF0000, style=label.style_label_left, textcolor=color.white) lbl3 := label.new(bar_index, prevDayHigh, "Prev Day High " + str.tostring(prevDayHigh), color=#006400, style=label.style_label_right, textcolor=color.white) lbl4 := label.new(bar_index, prevDayLow, "Prev Day Low " + str.tostring(prevDayLow), color=#8B0000, style=label.style_label_right, textcolor=color.white)
Wskaźnik Pine Script™
od zdragonball649
EMA Crossover Strategy - High Reward, Low Loss Trading Indicator🔹 Created by Aniketsinh 🚀 About This Strategy: The EMA Crossover Strategy is designed for traders who prefer fewer trades with higher profit potential. It focuses on catching strong trends while minimizing unnecessary losses. Even if only 4 out of 10 trades succeed, the risk-reward ratio ensures more profits than losses. 📌 Key Features: ✅ Uses 50 EMA & 200 EMA for trend confirmation ✅ RSI filtering for momentum-based entries ✅ Volume confirmation to avoid false signals ✅ Stop Loss & Take Profit with a 3x reward-to-risk ratio ✅ Works well on crypto, forex, and stocks 📈 How It Works: BUY Signal: 50 EMA crosses above 200 EMA, RSI > 50, and volume is high. SELL Signal: 50 EMA crosses below 200 EMA, RSI < 50, and volume is high. Stop Loss & Take Profit: Stop loss below recent low, and take profit at 3x risk. 🔍 Best Timeframes: Works well on higher timeframes like 1H, 4H, Daily for better accuracy. ⚠️ Risk Disclaimer: No strategy is 100% perfect. Always use proper risk management and backtest before live trading. 💡 Try It Now & Optimize for Your Trading Style! Let me know your feedback! 🚀
Strategia Pine Script™
od Aniketsinh23
Candlestick Bible: Dynamic Price Follower Strategy Overview: This trading strategy, named "Candlestick Bible: Dynamic Price Follower (Corrected)", is designed to trade based on candlestick patterns, the market trend, and price action dynamics. It generates long (buy) and short (sell) signals using a combination of: Candlestick pattern recognition Exponential moving averages (EMA) Price movement analysis (ATR) The strategy does not include any position management logic (like trailing stops or exit rules). It simply enters trades based on specific conditions, and you would need to manually manage exits or apply additional rules for that. Detailed Breakdown of Each Section: 1. Pattern Detection: This part of the strategy identifies specific candlestick patterns: Pin Bar Detection: A "Pin Bar" is a candlestick with a long shadow (upper or lower) and a small body. The strategy looks for Bullish Pin Bars (when the lower shadow is at least twice the body size) and Bearish Pin Bars (when the upper shadow is at least twice the body size). Engulfing Pattern: The strategy detects Bullish Engulfing (when the current candlestick fully engulfs the previous bearish candlestick) and Bearish Engulfing (when the current candlestick fully engulfs the previous bullish candlestick). These patterns are used to trigger entry conditions in the strategy. 2. Dynamic Trend System: Exponential Moving Averages (EMAs): The strategy uses two EMAs to determine the current market trend: Fast EMA (8-period): A quicker-moving average, more responsive to recent price changes. Slow EMA (21-period): A slower-moving average that smooths out price action. The strategy compares the fast EMA to the slow EMA: If the fast EMA is above the slow EMA, the market is considered bullish. If the fast EMA is below the slow EMA, the market is considered bearish. This trend direction is important for confirming whether a long (buy) or short (sell) signal is valid. 3. Price Movement System: Average True Range (ATR): The strategy uses ATR (14-period) to gauge the market's volatility. Trail Offset: Although the exit logic for trailing stops has been removed, the ATR value is used to calculate the distance for potential trailing stops (for future strategies that might include exit rules). 4. Strategy Rules: Long (Buy) Condition: The strategy will enter a long position if either a Bullish Pin Bar or a Bullish Engulfing pattern is detected, and the market is in a bullish trend (i.e., the fast EMA is above the slow EMA). The closing price should also be above the slow EMA to confirm the strength of the bullish trend. Short (Sell) Condition: The strategy will enter a short position if either a Bearish Pin Bar or a Bearish Engulfing pattern is detected, and the market is in a bearish trend (i.e., the fast EMA is below the slow EMA). The closing price should be below the slow EMA to confirm the strength of the bearish trend. 5. Strategy Entries: The strategy will enter long positions when the long condition is met (i.e., a bullish candlestick pattern forms and the market is bullish). The strategy will enter short positions when the short condition is met (i.e., a bearish candlestick pattern forms and the market is bearish). No exit rules are implemented. Therefore, trades are entered but not automatically exited. 6. Visual Feedback: EMA Lines: The strategy plots the Fast EMA (blue) and Slow EMA (red) on the chart to visually represent the market’s trend. Entry Signals: The strategy uses plotshape to visually mark entry points: Green triangle (below the bar) indicates a long (buy) signal. Red triangle (above the bar) indicates a short (sell) signal. Summary of the Strategy's Actions: The strategy checks for Bullish or Bearish Pin Bars or Bullish or Bearish Engulfing patterns. It filters these signals by checking the market trend (using the Fast and Slow EMAs). It enters trades when both the candlestick pattern and market trend align: Long trade: If there is a Bullish pattern and the market is in a bullish trend. Short trade: If there is a Bearish pattern and the market is in a bearish trend. The strategy will not exit positions automatically (you would need to manually manage exits, or implement additional exit rules). What’s Missing: Position Management: No trailing stop or stop-loss logic is included in this version of the strategy. Once a position is opened, it will remain open until manually closed or additional exit conditions are added.
Strategia Pine Script™
od PatrickMorgan
Wyckoff Full Advanced Indicator*Recomendaciones prácticas* para usarlo de manera efectiva y aprovechar al máximo la metodología de Wyckoff con este indicador: --- ### 1. *Configuración inicial* - *Marco temporal*: Comienza con un marco temporal intermedio (como 1 hora o 4 horas) para identificar las fases y eventos clave. Luego, usa el marco temporal superior (diario o semanal) para confirmar la tendencia principal. - *Parámetros personalizados*: - Ajusta el Periodo de análisis según el activo y el marco temporal. - Modifica el Umbral de volumen para adaptarlo a las características del mercado (por ejemplo, 1.5 para mercados volátiles y 2 para mercados más tranquilos). --- ### 2. *Interpretación de las fases* - *Fase de Acumulación (Fase A, B, C)*: - Busca zonas de acumulación (fondo verde) y eventos como *Spring* o *Selling Climax (SC)*. - Confirma con volumen alto y una ruptura alcista (SOS). - *Fase de Distribución (Fase A, B, C)*: - Identifica zonas de distribución (fondo rojo) y eventos como *Upthrust* o *Automatic Rally (AR)*. - Confirma con volumen alto y una ruptura bajista (SOW). --- ### 3. *Uso de soportes y resistencias* - *Soportes y resistencias dinámicos*: - Usa las líneas de soporte y resistencia generadas por el script para identificar zonas clave. - Busca rupturas o rechazos en estos niveles para confirmar señales. - *Objetivos de precio*: - Usa las proyecciones de la *Ley de Causa y Efecto* para establecer objetivos alcistas o bajistas. --- ### 4. *Análisis de volumen* - *Volumen alto*: - Confirma eventos clave como SC, AR, Spring, Upthrust, SOS y SOW. - *Volumen bajo*: - Identifica divergencias (Esfuerzo vs. Resultado) para anticipar cambios de tendencia. --- ### 5. *Gráficos multitemporales* - *Confirmación de tendencia*: - Usa el marco temporal superior (configurado en el script) para confirmar la tendencia principal. - Si el marco superior es alcista, prioriza señales de compra en el marco inferior. - *Contexto general*: - Evita operar en contra de la tendencia del marco superior. --- ### 6. *Maniobras avanzadas* - *Terminal Shakeout (TS)*: - Identifica movimientos falsos (shakouts) que suelen ocurrir antes de una reversión. - Úsalo como una señal de confirmación adicional. --- ### 7. *Gestión de riesgo* - *Stop Loss*: - Coloca tu stop loss por debajo del último soporte (en compras) o por encima de la última resistencia (en ventas). - *Take Profit*: - Usa los objetivos de precio generados por la *Ley de Causa y Efecto*. - *Posicionamiento*: - Ajusta el tamaño de tu posición según la confianza en la señal y el riesgo del trade. --- ### 8. *Prueba y ajuste* - *Backtesting*: - Prueba el script en datos históricos para ver cómo se comporta en diferentes condiciones de mercado. - *Optimización*: - Ajusta los parámetros (como el período de análisis o el umbral de volumen) para adaptarlo a tu estilo de trading. --- ### 9. *Combinación con otros indicadores* - *Indicadores de tendencia*: - Usa el RSI o MACD para confirmar la fuerza de la tendencia. - *Medias móviles*: - Combina con una media móvil de 200 períodos para identificar la tendencia a largo plazo. --- ### 10. *Mantén un diario de trading* - Registra todas las operaciones realizadas con este script. - Anota las señales, el contexto del mercado y el resultado. - Esto te ayudará a mejorar tu interpretación y a ajustar el script según tus necesidades. --- ### Ejemplo de flujo de trabajo: 1. *Identifica la fase actual* (Acumulación o Distribución). 2. *Busca eventos clave* (SC, AR, Spring, Upthrust, SOS, SOW). 3. *Confirma con volumen* y el marco temporal superior. 4. *Establece niveles de entrada, stop loss y take profit*. 5. *Maneja el riesgo* y sigue tu plan.
Wskaźnik Pine Script™
od pedromarti
Estrategia NASDAQ Futuros - EMA + RSI + Bollinger//@version=5 strategy("Estrategia NASDAQ Futuros - EMA + RSI + Bollinger", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // Parámetros de la EMA ema_rapida = ta.ema(close, 9) ema_lenta = ta.ema(close, 21) // Parámetros del RSI rsi_length = 14 rsi_sobrecompra = 70 rsi_sobreventa = 30 rsi = ta.rsi(close, rsi_length) // Parámetros de las Bandas de Bollinger bb_length = 20 bb_desviacion = 2 = ta.bb(close, bb_length, bb_desviacion) // Condiciones de Entrada condicion_compra = ta.crossover(ema_rapida, ema_lenta) and rsi < rsi_sobreventa and close < bb_inferior condicion_venta = ta.crossunder(ema_rapida, ema_lenta) and rsi > rsi_sobrecompra and close > bb_superior // Ejecución de las Órdenes if (condicion_compra) strategy.entry("Compra", strategy.long) if (condicion_venta) strategy.entry("Venta", strategy.short) // Gestión del Riesgo stop_loss = 50 // Ajusta según el valor del futuro del NASDAQ take_profit = 100 strategy.exit("Cerrar Compra", "Compra", stop=strategy.position_avg_price * (1 - stop_loss/10000), limit=strategy.position_avg_price * (1 + take_profit/10000)) strategy.exit("Cerrar Venta", "Venta", stop=strategy.position_avg_price * (1 + stop_loss/10000), limit=strategy.position_avg_price * (1 - take_profit/10000)) // Visualización en el Gráfico plot(ema_rapida, color=color.blue, title="EMA Rápida (9)") plot(ema_lenta, color=color.red, title="EMA Lenta (21)") plot(bb_superior, color=color.green, title="Banda Superior") plot(bb_inferior, color=color.red, title="Banda Inferior") hline(rsi_sobrecompra, "Sobrecompra", color=color.red) hline(rsi_sobreventa, "Sobreventa", color=color.green)
Strategia Pine Script™
od yamithmo