(Avg$Win x Win Rate) - (Avg $Loss x Loss Rate) = Expectancy
Been thinking about discretionary accounts with 100k,
- Average Dollar Win
- Win Rate
- Average Dollar Loss
- Loss Rate
- Maximum Drawdown
- Maximum Positive Return
- Maximum Consecutive Wins
- Maximum Consecutive Losses
- Average Number of Consecutive Wins
- Average Number of Consecutive Losses
- Standard Deviation of Monthly Returns.
- Average annual return
So taking Ray Barros principle,
I accept a 3% as my maximum risk. If my avg number of consecutive losses is 3 and the average loss is 1%. I can now estimate that the objective maximum percentage loss.
I multiply my maximum number of consecutive losses by 3. So now the number is 9. So my possible worst case drawdown on average would be a 9 x 1% = 9%. I then multiply the standard deviation of monthly returns by 3. Let’s say that comes out at 27%. I now have the boundaries for my worst case scenario: 9% to 27%.
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