Hi,

This was really interesting.

I just ran a quick backtest using a few different parameters:

Data - 2016 - 2019

Highs-Lows 2,3,4,5,6 candles back from 0800 Europe/London time

R:R 1.5,2.0,2.5

Starting points to cross before breakout detection: 0800, 0900, 1000

Spread is taken into account

The best result from the above combation was as follows (It’s in pips, which I never usually do as a pip is different for each pair for the same margin, but everyone here seems to talk pips…)

GBP_JPY GAIN: -649

GBP_USD GAIN: -2279

GBP_AUD GAIN: -1626

GBP_NZD GAIN: -2134

GBP_CAD GAIN: -2600

USD_JPY GAIN: -1739

USD_CAD GAIN: -4351

EUR_GBP GAIN: -2286

EUR_JPY GAIN: -1153

EUR_USD GAIN: -2048

EUR_AUD GAIN: 646

EUR_NZD GAIN: -3362

EUR_CAD GAIN: -390

AUD_JPY GAIN: -1776

AUD_USD GAIN: -2103

AUD_NZD GAIN: -3471

AUD_CAD GAIN: -3843

NZD_JPY GAIN: -1442

NZD_USD GAIN: -1949

NZD_CAD GAIN: -2781

CAD_JPY GAIN: -2682

Note: randomly trading the same number of trades per year loses about 1200 pips/year, so quite a few of these are close to random trading. This makes sense as essentially the strategy is a gamble.

Still with some tweaking, maybe there is some mileage in it.

Nice idea and thanks for sharing!