An example of how I estimate risk of ruin.
All the values shown are rounded to the nearest whole number so 100% does not mean absolute certainty just greater than 99.5%
So for instance with a win rate of 60% we have a 17% chance of 6 consecutive losses within a 50 trade period.
I think the values are likely to be even higher than the ones shown in the table using normal probability distribution.
From my own experience I've found that sequences of wins or losses cluster together when the market condition is favorable or unfavorable to the system being traded.
All the values shown are rounded to the nearest whole number so 100% does not mean absolute certainty just greater than 99.5%
So for instance with a win rate of 60% we have a 17% chance of 6 consecutive losses within a 50 trade period.
I think the values are likely to be even higher than the ones shown in the table using normal probability distribution.
From my own experience I've found that sequences of wins or losses cluster together when the market condition is favorable or unfavorable to the system being traded.