Do you have an example?
Like checking how the ATR behaves through different periods of time and pairs?
In my opinion, the choice of partners should be based on the logic of the strategy itself rather than diversification alone.
For example, if the strategy is range-based, it is best to focus on currency pairs with relatively stable and moderate ATR values, such as the EUR/USD pair.
In my opinion, the choice of partners should be based on the logic of the strategy itself rather than diversification alone.
For example, if the strategy is range-based, it is best to focus on currency pairs with relatively stable and moderate ATR values, such as the EUR/USD pair.
Also maybe currency strength?
You need pairs with enough liquidity, so just for validation. Not sure if that might help.
Also maybe currency strength?
You need pairs with enough liquidity, so just for validation. Not sure if that might help.
Yes, assuming that you have a way to measure actual liquidity. In the realm of FX and CFD's, it's tough.
The "least worst" way that I've found is using CME futures volume and O/I as a proxy of sorts─for the majors anyway. The CME publishes delayed data on its website for free.
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For the past weeks I've been developing an EA based on SMC, multitimeframe liqquidity-sweep:
Stats are good IMO, DD < 10%, good sharpe ratio, etc...
But I question myself about this being more stable? Such as diversifying.
My main problem is choosing a variety of pairs, i.e:
But I'm not sure how can I choose a better or more "long-termed low-dd" combination of pairs without backtesting a lot (for the computational cost)
Any ideas about this?