Esta estrategia genera señales comerciales basadas en velas Heikin Ashi. Específicamente, las señales de compra y venta se consideran basadas en el cruce del precio de cierre de Heikin Ashi y el nivel de precio del percentil 75, así como el precio de cierre de Heikin Ashi por encima de ciertos promedios móviles.
La estrategia utiliza velas Heikin Ashi en lugar de velas regulares para el análisis. La naturaleza suavizada de las velas Heikin Ashi ayuda a identificar tendencias e inversiones con más claridad.
El stop loss y el trailing stop también se utilizan para controlar el riesgo a la baja por operación.
Para mitigar los riesgos, pueden necesitarse ajustes en parámetros como los períodos de media móvil y los porcentajes de pérdida de suspensión.
Esta estrategia combina velas Heikin Ashi, canales percentiles y medias móviles para formar un enfoque sistemático, capaz de identificar tendencias y controlar el riesgo a través de stop loss.
/*backtest start: 2023-12-17 00:00:00 end: 2023-12-24 00:00:00 period: 45m basePeriod: 5m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("HK Percentile Interpolation One",shorttitle = "HKPIO", overlay=false, default_qty_type = strategy.cash, default_qty_value = 5000, calc_on_order_fills = true, calc_on_every_tick = true) // Input parameters stopLossPercentage = input(3, title="Stop Loss (%)") // User can set Stop Loss as a percentage trailStopPercentage = input(1.5, title="Trailing Stop (%)") // User can set Trailing Stop as a percentage lookback = input.int(14, title="Lookback Period", minval=1) // User can set the lookback period for percentile calculation yellowLine_length = input.int(5, "Yellow", minval=1) // User can set the length for Yellow EMA purplLine_length = input.int(10, "Purple", minval=1) // User can set the length for Purple EMA holdPeriod = input.int(200, title="Minimum Holding Period", minval=10) // User can set the minimum holding period startDate = timestamp("2021 01 01") // User can set the start date for the strategy // Calculate Heikin Ashi values haClose = ohlc4 var float haOpen = na haOpen := na(haOpen[1]) ? (open + close) / 2 : (haOpen[1] + haClose[1]) / 2 haHigh = math.max(nz(haOpen, high), nz(haClose, high), high) haLow = math.min(nz(haOpen, low), nz(haClose, low), low) // Calculate Moving Averages yellowLine = ta.ema(haClose, yellowLine_length) purplLine = ta.ema(haClose, purplLine_length) // Calculate 25th and 75th percentiles p25 = ta.percentile_linear_interpolation(haClose, lookback, 28) p75 = ta.percentile_linear_interpolation(haClose, lookback, 78) // Generate buy/sell signals longSignal = ta.crossover(haClose, p75) and haClose > yellowLine sellSignal = ta.crossunder(haClose, yellowLine) longSignal1 = ta.crossover(haClose, p75) and haClose > purplLine sellSignal1 = ta.crossunder(haClose, purplLine) // Set start time and trade conditions if(time >= startDate) // When longSignal is true, enter a long trade and set stop loss and trailing stop conditions if (longSignal) strategy.entry("Long", strategy.long, 1) strategy.exit("Sell", "Long", stop=close*(1-stopLossPercentage/100), trail_points=close*trailStopPercentage/100, trail_offset=close*trailStopPercentage/100) // When sellSignal is true, close the long trade if (sellSignal) strategy.close("Long") // When sellSignal1 is true, enter a short trade if (sellSignal1) strategy.entry("Short", strategy.short, 1) // When longSignal1 is true, close the short trade if (longSignal1) strategy.close("Short") // Plot Heikin Ashi candles plotcandle(haOpen, haHigh, haLow, haClose, title="Heikin Ashi", color=(haClose >= haOpen ? color.rgb(1, 168, 6) : color.rgb(176, 0, 0))) // Plot 25th and 75th percentile levels plot(p25, title="25th Percentile", color=color.green, linewidth=1, style=plot.style_circles) plot(p75, title="75th Percentile", color=color.red, linewidth=1, style=plot.style_circles) // Plot Moving Averages plot(yellowLine, color = color.rgb(254, 242, 73, 2), linewidth = 2, style = plot.style_stepline) plot(purplLine, color = color.rgb(255, 77, 234, 2), linewidth = 2, style = plot.style_stepline)