Hi Everyone,
I am developing a multi-currency mean reversion strategy. I currently use instantaneous filtering to get rid of potential trades where there is high market noise, low volatility, lack of clear trend and particularly high relative volume. This has proven to be effective but I'm also looking to filter out FX pairs which aren't as receptive to strategy.
My question is how should I go about defining which currency pairs are most suited to the strategy?
Should it solely be based on backtesting results? And if so over what period of time? Or should I be asset filtering based on average market noise and identifying which currency pairs range the most or any other factors?
Thanks for all your help in advance!
If you're talking about correlation, I suggest you pay attention to cross pairs.
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Hi Everyone,
I am developing a multi-currency mean reversion strategy. I currently use instantaneous filtering to get rid of potential trades where there is high market noise, low volatility, lack of clear trend and particularly high relative volume. This has proven to be effective but I'm also looking to filter out FX pairs which aren't as receptive to strategy.
My question is how should I go about defining which currency pairs are most suited to the strategy?
Should it solely be based on backtesting results? And if so over what period of time? Or should I be asset filtering based on average market noise and identifying which currency pairs range the most or any other factors?
Thanks for all your help in advance!