Machine Learning Implementation - Adaptive EA to market conditions
Hello
Just from my own learning recently (I am learning in my spare time using datacamp for a data science course); Python and C++ I have been reading up about machine learning. How feasible is this approach to the EA to implement. The idea would be to have something that would learn to be adaptive to different conditions. For example to self optimise to get a signal, or to try to use itself different oscillators and trend filters to make a trade.
Maybe adopting a particular trading methodology, so looking at H4 timeframe, then looking at an M5 time frame for entry exit points for intraday trading.
Machine Learning — is very deep topic.
And I am not sure it can be implemented to the CP.
Also I'm not sure it can help to make profits on the market ;)