[Help] Need to clear a concept about EA Results:
Suppose there are two EAs, one produce 69% Win rate over 16 years of data.
Second one produce 45% win rate over 16 years of data.
Obviously you can say 1st one is better. But 2nd one produce larger win percentage in 1 year of backtest than 1st one. So I'm confuse at the point which one is good?
Plus how to judge an EA's performance. If an EA produce 45% win rate within a decade of backtest results. Will it able to produce at least 65% win rate on forward test for next 6 months?
According to you what should be the win rate of a successful EA ?
I know when number of sample increases the probability decreases, so if EA have low win rate for long term backtesting, shouldn't it be producing good results in short term forward testing?
Please forgive, If I asked silly questions. Just want to clear my concept.
Suppose there are two EAs, one produce 69% Win rate over 16 years of data.
Second one produce 45% win rate over 16 years of data.
Obviously you can say 1st one is better. But 2nd one produce larger win percentage in 1 year of backtest than 1st one. So I'm confuse at the point which one is good?
Plus how to judge an EA's performance. If an EA produce 45% win rate within a decade of backtest results. Will it able to produce at least 65% win rate on forward test for next 6 months?
According to you what should be the win rate of a successful EA ?
I know when number of sample increases the probability decreases, so if EA have low win rate for long term backtesting, shouldn't it be producing good results in short term forward testing?
Please forgive, If I asked silly questions. Just want to clear my concept.
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