Rose Cross Star Dual Indicator Volatility Strategy

This strategy identifies trading opportunities through combining Bollinger Bands and a modified Relative Strength Index (RSI). Backtest results demonstrate its overall profitability and high winning rate. It captures…

Author

ChaoZhang

Complexity

Starter · 48 lines

Parameters

Backtest bar

1d · swing

Tested on

BTC/USDT · futures

Overview

Strategy Logic

Indicator Selection

The strategy utilizes Bollinger Bands with a standard deviation multiplier of 2 and RSI with a period of 14. Bollinger Bands detect breakouts and RSI determines overbought/oversold levels. Indicator parameters are set based on experience and iterative testing.

Entry Rules

Go long when price breaks above the lower Bollinger Band and RSI is below 30 (oversold zone).
Go short when price breaks below the upper Bollinger Band and RSI is above 70 (overbought zone).

Exit Rules

Close long positions on a stop loss or when price breaks below the upper Bollinger Band.
Close short positions on a stop loss or when price breaks above the lower Bollinger Band.

Advantages

Dual indicator combination improves strategy precision.
Optimized indicator parameters provide robust adaptability.
Breakout signals are clear and easy to implement.
Effective drawdown and loss control.
Visual signals simplify trade execution.

Risks

Band squeeze may cause false breakouts. Consider longer Bollinger periods.
Frequent trading possible in range-bound markets. Lower RSI sensitivity.
Manage transaction costs. Widen stop distances.

Enhancements

Test EMA and other indicators to generate bands.
Add volume or MA filters to avoid false breaks.
Set band and stop distances based on ATR.
Add trend filter to reduce whipsaws.

Conclusion

This strategy combines the strengths of Bollinger Bands and RSI for trend and breakout trading. Simple to implement, it is well-suited for short to medium-term breakouts. Extensions through indicator and parameter optimization can further expand its robustness.

Name	Default	What it controls
v_input_1	20	Longitud
v_input_2	2	mult

Name

Default

What it controls

v_input_1

Longitud

v_input_2

mult

/*backtest start: 2022-10-24 00:00:00 end: 2023-10-30 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 strategy("Estrategia de Ruptura con Bollinger y RSI Modificada", shorttitle="BB RSI Mod", overlay=true) // Parámetros de Bollinger Bands src = close length = input(20, title="Longitud", minval=1) mult = input(2.0) basis = sma(src, length) upper = basis + mult * stdev(src, length) lower = basis - mult * stdev(src, length) // Parámetros del RSI rsiSource = rsi(close, 14) overbought = 70 oversold = 30 longCondition = crossover(src, lower) and rsiSource < oversold shortCondition = crossunder(src, upper) and rsiSource > overbought longExit = crossunder(src, upper) shortExit = crossover(src, lower) if (longCondition) strategy.entry("Compra", strategy.long, stop=low) if (shortCondition) strategy.entry("Venta", strategy.short, stop=high) if (longExit) strategy.close("Compra") if (shortExit) strategy.close("Venta") // Visualización plotshape(series=longCondition, title="Compra", location=location.belowbar, color=color.green, style=shape.labelup, text="Compra") plotshape(series=shortCondition, title="Venta", location=location.abovebar, color=color.red, style=shape.labeldown, text="Venta") plot(upper, "Banda Superior", color=color.red) plot(lower, "Banda Inferior", color=color.green)