资源加载中... loading...

Configurable BB+RSI+Aroon Strategy Backtest

Author: ChaoZhang, Date: 2023-09-21 15:05:38
Tags:

Overview

This strategy combines Bollinger Bands (BB), Relative Strength Index (RSI) and Aroon indicators to capitalize on the strengths of each for efficient entry and exit signals trading.

How it Works

  1. Price breaking BB lower band shows long signal.

  2. RSI crossing oversold line gives long confirmation.

  3. Aroon crossover shows long confirmation.

  4. Long entry when all 3 conditions are met.

  5. Price breaking BB upper band shows short signal.

  6. RSI crossing overbought line gives short confirmation.

  7. Aroon crossover shows short confirmation.

  8. Short entry when all 3 conditions are met.

Advantages

  • Configurable parameters for optimization
  • Multiple confirmations improve accuracy
  • Adaptable to various market conditions
  • Simple logic easy to implement

Risks

  • Poor parameter tuning can cause false signals
  • Multiple indicators add lag, may miss quick reversals
  • Reversals increase trade frequency and costs

Optimization Directions

  • Backtest across markets and timeframes for optimal parameters
  • Evaluate contribution of each indicator, remove redundancies
  • Explore machine learning for parameter optimization
  • Optimize code to reduce computations
  • Test different holding period parameters

Conclusion

The strategy combines strengths of multiple indicators into robust entry signals. Further improvements via parameter optimization, reducing redundant indicators, and optimizing code can enhance performance. Overall an effective customizable solution trading.


/*backtest
start: 2023-09-13 00:00:00
end: 2023-09-20 00:00:00
period: 5m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// Developed by Marco Jarquin as part of Arkansas 22 Project for Binary Options
// CBRA for binary options (Configurable Bollinger Bands, RSI and Aroon)

//@version=4
// ====================================================================================

//strategy("A22.CBRA.Strat", overlay=true, initial_capital=10000, currency="USD", calc_on_every_tick=true, default_qty_type=strategy.cash, default_qty_value=4000, commission_type=strategy.commission.cash_per_order, commission_value=0)

// Aroonish Parameters
// ====================================================================================

Aroonish_length = input(4, minval=1, title="Aroonish Lenght")
Aroonish_ConfVal = input(50, minval=0, maxval=100, step=25, title="Aroonish Confirmation Value")
Aroonish_upper = 100 * (-highestbars(high, Aroonish_length+1) + Aroonish_length)/Aroonish_length
Aroonish_lower = 100 * (-lowestbars(low, Aroonish_length+1) + Aroonish_length)/Aroonish_length

// Aroonish confirmations
// ====================================================================================
Aroonish_ConfLong = (Aroonish_lower >= Aroonish_ConfVal) and (Aroonish_upper < Aroonish_lower)
Aroonish_ConfShrt = (Aroonish_upper >= Aroonish_ConfVal) and (Aroonish_upper > Aroonish_lower)

plotshape(crossover(Aroonish_lower, Aroonish_upper), color = color.red, style = shape.triangledown, location = location.abovebar, size = size.auto, title = "Ar-B")
plotshape(crossover(Aroonish_upper, Aroonish_lower), color = color.green, style = shape.triangleup, location = location.belowbar, size = size.auto, transp = 0, title = "Ar-S")

// RSI Parameters
// ====================================================================================
RSI_length = input(4, title="RSI Lenght")
RSI_overSold = input(20, title="RSI Oversold Limit")
RSI_overBought = input(80, title="RSI Overbought Limit" )

RSI = rsi(close, RSI_length)

plotshape(crossover(RSI, RSI_overSold), color = color.orange, style = shape.square, location = location.belowbar, size = size.auto, title = "RSI-B")
plotshape(crossunder(RSI, RSI_overBought), color = color.orange, style = shape.square, location = location.abovebar, size = size.auto, transp = 0, title = "RSI-S")

// Bollinger Parameters
// ====================================================================================
BB_length = input(20, minval=1, title="Bollinger Lenght")
BB_mult = input(2.5, minval=0.1, maxval=50, step=0.1, title="Bollinger Std Dev")
// BB_bars = input(3, minval=1, maxval=5, title="Check bars after crossing")

BB_basis = sma(close, BB_length)
BB_dev = BB_mult * stdev(close, BB_length)

BB_upper = BB_basis + BB_dev
BB_lower = BB_basis - BB_dev

p1 = plot(BB_upper, color=color.blue)
p2 = plot(BB_lower, color=color.blue)

// Bars to have the operation open
// ====================================================================================
nBars = input(3, minval=1, maxval=30, title="Bars to keep the operation open")

// Strategy condition short or long
// ====================================================================================
ConditionShrt = ((crossunder(close, BB_upper) or crossunder(close[1], BB_upper[1])) and Aroonish_ConfShrt) and (crossunder(RSI, RSI_overBought) or crossunder(RSI[1], RSI_overBought[1]))
ConditionLong = ((crossover(close, BB_lower) or crossover(close[1], BB_lower[1])) and Aroonish_ConfLong) and (crossover(RSI, RSI_overSold) or crossover(RSI[1], RSI_overSold[1]))

plotshape(crossover(close, BB_lower), color = color.blue, style = shape.circle, location = location.belowbar, size = size.auto, title = "BB-B")
plotshape(crossunder(close, BB_upper), color = color.blue, style = shape.circle, location = location.abovebar, size = size.auto, transp = 0, title = "BB-S")


// Make input options that configure backtest date range
// ====================================================================================
iMo = input(title="Start Month", type=input.integer, defval=1, minval=1, maxval=12)
iDy = input(title="Start Date", type=input.integer, defval=1, minval=1, maxval=31)
iYr = input(title="Start Year", type=input.integer, defval=(2020), minval=1800, maxval=2100)

eMo = input(title="End Month", type=input.integer, defval=1, minval=1, maxval=12)
eDy = input(title="End Date", type=input.integer, defval=1, minval=1, maxval=31)
eYr = input(title="End Year", type=input.integer, defval=(2021), minval=1800, maxval=2100)

// Look if the close time of the current bar falls inside the date range
// ====================================================================================
inDateRange = true


// Evaluates conditions to enter short or long
// ====================================================================================
if (inDateRange and ConditionLong)
    strategy.entry("A22.L", strategy.long)

if (inDateRange and ConditionLong[nBars])
    strategy.close("A22.L", comment="A22.L Exit")
    
if (inDateRange and ConditionShrt)
    strategy.entry("A22.S", strategy.short)

if (inDateRange and ConditionShrt[nBars])
    strategy.close("A22.S", comment="A22.S Exit")

if (not inDateRange)
    strategy.close_all()

More