Bollinger Bands Reversal Trend Strategy

This strategy uses the relationship between the upper band, middle band, lower band of Bollinger Bands and 200-day moving average to determine the trend direction. It goes long when price touches the lower band…

Author

ChaoZhang

Complexity

Starter · 49 lines

Parameters

Backtest bar

1m · intraday

Tested on

BTC/USDT · futures

Overview

Principles

Determine trend: When both upper and lower bands of Bollinger Bands are above 200-day moving average, it is an uptrend. When both are below, it is a downtrend.
Entry: Go long when price touches lower band in an uptrend. Go short when price touches upper band in a downtrend.
Exit: When long, close position when price touches upper band or breaks below 250-day simple moving average. When short, close position when price touches lower band or breaks above 300-day simple moving average.

Advantages

Use Bollinger Bands to determine trend direction, avoiding repetitive trading without a clear direction.
Take proper entries and exits based on the volatility range of Bollinger Bands when trend direction is clear.
Added filtering with moving averages, avoiding unexpected losses.

Risks and Solutions

Improper Bollinger Bands parameter setting leads to misjudgment: Adjust parameters to find the optimal period length.
Improper moving average parameter leading to over trading or unwanted losses: Test different parameters to find the most stable ones.
Sudden market change due to major news events causes anomalies: Set stop loss to limit per trade loss.

Optimization Directions

Test strategy performance across different parameter periods to find the optimal parameters.
Add stop loss mechanism to avoid huge losses in anomalous market conditions.
Incorporate other indicators to confirm entry signals to improve win rate.

Conclusion

This strategy determines trend direction with Bollinger Bands first. It then utilizes the volatility range of Bollinger Bands together with moving averages to form a trading system that ensures directional correctness and locks in decent profits. There are still some issues with parameter selection and stop loss that can be further improved via optimization and mechanism additions to achieve better performance.

Name	Default	What it controls
v_input_int_1	20	length
v_input_float_1	2.3	mult
v_input_int_2	200	trend

Name

Default

What it controls

v_input_int_1

length

v_input_float_1

2.3

mult

v_input_int_2

200

trend

/*backtest start: 2023-11-29 00:00:00 end: 2023-12-06 00:00:00 period: 1m 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/ // © Aayonga //@version=5 strategy("boll trend", overlay=true,initial_capital=1000,default_qty_type=strategy.fixed, default_qty_value=1 ) bollL=input.int(20,minval=1,title = "length") bollmult=input.float(2.3,minval=0,step=0.1,title = "mult") basis=ta.ema(close,bollL) dev=bollmult*ta.stdev(close,bollL) upper=basis+dev lower=basis-dev smaL=input.int(200,minval=1,step=1,title = "trend") sma=ta.sma(close,smaL) //Bullish trend longT=upper>sma and basis>sma and lower>=sma //Bearish trend shortT=upper<sma and basis<sma and lower<=sma //Admission longE=ta.crossover(close,lower) shortE=ta.crossover(close,upper) //Appearance position longEXIT=ta.crossover(high,upper) or ta.crossunder(close,ta.sma(close,300)) shortEXIT=ta.crossunder(low,lower) or ta.crossover(close,ta.sma(close,250)) if longT and longE strategy.entry("Manylong",strategy.long) if longEXIT strategy.close("Manylong",comment = "close long") if shortE and shortT strategy.entry("Emptyshort",strategy.short) if shortEXIT strategy.close("Emptyshort",comment = "close short")

Bollinger Bands Reversal Trend Strategy

Overview

Principles

Advantages

Risks and Solutions

Optimization Directions

Conclusion

Parameters

Source Pine Script

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