
Se trata de un sistema de estrategia de negociación de alta frecuencia que combina Bollinger Bands, dispersión de medias móviles MACD y análisis de volúmenes de transacción. La estrategia capta oportunidades de reversión en el mercado mediante la identificación de brechas y reveses en los precios que se desvían en las bandas de Bollinger, combinadas con el indicador de movimiento MACD y la confirmación de volúmenes de transacción.
La estrategia se basa en una combinación de tres indicadores centrales:
La estrategia construye un sistema de negociación completo a través de una combinación de señales de reversión de la banda de Brin, confirmación de tendencias MACD y verificación de volúmenes de transacción. El diseño visual del sistema y los estrictos controles de riesgo lo hacen especialmente adecuado para el comercio intradiario. Aunque existe cierto riesgo de mercado, la estrategia espera mantener un rendimiento estable en diferentes entornos de mercado a través de la optimización continua y el ajuste de parámetros.
/*backtest
start: 2024-05-20 00:00:00
end: 2024-09-20 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Binance","currency":"TRB_USDT"}]
*/
//@version=5
// Bollinger Bounce Reversal Strategy - Visual Edition
//
// Description:
// This strategy seeks to capture reversal moves at extreme price levels (“bounce points”) using Bollinger Bands.
// A long entry is triggered when the price, after being below the lower Bollinger Band, crosses upward above it,
// provided that the MACD line is above its signal line (indicating bullish momentum) and volume is strong.
// Conversely, a short entry is triggered when the price, after being above the upper Bollinger Band, crosses downward
// below it, with the MACD line below its signal line and high volume.
// To help avoid overtrading, the strategy limits entries to a maximum of 5 trades per day.
// Risk management is applied via fixed stop‑loss and take‑profit orders.
// This version overlays many visual cues on the chart: filled Bollinger Bands, signal markers, background colors,
// and an on‑chart information table displaying key values.
//
// Backtesting Parameters:
// • Initial Capital: $10,000
// • Commission: 0.1% per trade
// • Slippage: 1 tick per bar
//
// Disclaimer:
// Past performance is not indicative of future results. This strategy is experimental and provided solely for educational
// purposes. Please backtest and paper trade under your own conditions before live deployment.
//
// Author: [Your Name]
// Date: [Date]
strategy("Bollinger Bounce Reversal Strategy - Visual Edition", overlay=true, initial_capital=10000,
default_qty_type=strategy.percent_of_equity, default_qty_value=5,
commission_type=strategy.commission.percent, commission_value=0.1, slippage=1)
// ─── INPUTS ─────────────────────────────────────────────────────────────
bbPeriod = input.int(20, "Bollinger Bands Period", minval=1)
bbStd = input.float(2.0, "BB StdDev Multiplier", step=0.1)
macdFast = input.int(12, "MACD Fast Length", minval=1)
macdSlow = input.int(26, "MACD Slow Length", minval=1)
macdSignal = input.int(9, "MACD Signal Length", minval=1)
volAvgPeriod = input.int(20, "Volume MA Period", minval=1)
volFactor = input.float(1.0, "Volume Spike Factor", step=0.1) // Volume must be >= volAvg * factor
stopLossPerc = input.float(2.0, "Stop Loss (%)", step=0.1) * 0.01
takeProfitPerc = input.float(4.0, "Take Profit (%)", step=0.1) * 0.01
// ─── CALCULATIONS ─────────────────────────────────────────────────────────
basis = ta.sma(close, bbPeriod)
dev = bbStd * ta.stdev(close, bbPeriod)
upperBB = basis + dev
lowerBB = basis - dev
[macdLine, signalLine, _] = ta.macd(close, macdFast, macdSlow, macdSignal)
volAvg = ta.sma(volume, volAvgPeriod)
// ─── VISUALS: Bollinger Bands & Fill ───────────────────────────────────────
pBasis = plot(basis, color=color.gray, title="BB Basis")
pUpper = plot(upperBB, color=color.red, title="Upper BB")
pLower = plot(lowerBB, color=color.green, title="Lower BB")
fill(pUpper, pLower, color=color.new(color.blue, 90), title="BB Fill")
// ─── DAILY TRADE LIMIT ─────────────────────────────────────────────────────
// Reset the daily trade count at the start of each new day; limit entries to 5 per day.
var int tradesToday = 0
if ta.change(time("D"))
tradesToday := 0
// ─── SIGNAL LOGIC ─────────────────────────────────────────────────────────
// Define a "bounce" signal:
// For a long signal, require that the previous bar was below the lower band and the current bar crosses above it,
// the MACD line is above its signal, and volume is high.
longSignal = (close[1] < lowerBB and close > lowerBB) and (macdLine > signalLine) and (volume >= volFactor * volAvg)
// For a short signal, require that the previous bar was above the upper band and the current bar crosses below it,
// the MACD line is below its signal, and volume is high.
shortSignal = (close[1] > upperBB and close < upperBB) and (macdLine < signalLine) and (volume >= volFactor * volAvg)
// Plot visual signal markers on the chart.
plotshape(longSignal, title="Long Signal", style=shape.labelup, location=location.belowbar, color=color.green, text="Long", size=size.small)
plotshape(shortSignal, title="Short Signal", style=shape.labeldown, location=location.abovebar, color=color.red, text="Short", size=size.small)
// Change background color on signal bars for an extra cue.
bgcolor(longSignal ? color.new(color.green, 80) : shortSignal ? color.new(color.red, 80) : na, title="Signal BG")
// Only enter trades if fewer than 5 have been taken today.
if longSignal and (tradesToday < 5)
strategy.entry("Long", strategy.long)
tradesToday += 1
if shortSignal and (tradesToday < 5)
strategy.entry("Short", strategy.short)
tradesToday += 1
// ─── RISK MANAGEMENT: STOP-LOSS & TAKE-PROFIT ─────────────────────────────
// For long positions: set stop loss and take profit relative to the entry price.
if strategy.position_size > 0
strategy.exit("Long Exit", "Long", stop=strategy.position_avg_price*(1 - stopLossPerc), limit=strategy.position_avg_price*(1 + takeProfitPerc))
// For short positions: set stop loss and take profit relative to the entry price.
if strategy.position_size < 0
strategy.exit("Short Exit", "Short", stop=strategy.position_avg_price*(1 + stopLossPerc), limit=strategy.position_avg_price*(1 - takeProfitPerc))