I've got a swing trading strategy I've been working on that I hypothesized should work, and it seems to work in backtests on certain currencies. I've also traded it manually a few times to get a feel for it. The problem is that it doesn't work on all currencies and I don't know how to determine when to trade a currency with this strategy.
I began looking into it from the perspective of distributions of various price-related data and found what appears to be some sort of a relation between cumulative returns and this distribution.
In the images that follow, the left chart is cumulative return (dark blue) vs price (light blue). The right chart is a price-related distribution. To me, there appears to be some sort of a pattern with the currencies where it does work, and currencies where it doesn't.
I don't understand how to determine what really affects it.
Note: these results are without leverage. I would likely do 5x leverage in live trading.
Based on comments from others on this site, I am considering using deep learning to see if there is a way to back out a relationship that I don't know exists but I'm not sure I want to invest the time TBH.
What next steps would you take here?
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on a side note, when you backtest forex do you account for the rollover swap rates? For example if you are long $10k of USDMXN you get debited about $2.00 or if you are short USDCHF you get debited about $1.00. For this reason I prefer to backtest on backadjusted CME currency futures where it is all built-in