Hi
i have a VERY basic understanding of statistics and MonteCarlo simulation.
So i am working on creating my own (MonteCarlo simulation) to try and get a better understanding of things.
Lets say i use a trend following system as an example
i look at the historical performance test and find it has 30% wins..
i then categorize the size of the historical wins
for example
10% of all wins might be +10
20% might be +5
30% might be +2
40% might be +1
i am randomizing the wins (30% win) and if its a winner i then randomize the win percent (say 10%) and pay accordingly (+10)..
my historical test my have 200 trades, so i run the above simulation 200 times... to get the performance of one instance.
then i run it to get another 10,000 instances...
am i on the right track ?
i have a VERY basic understanding of statistics and MonteCarlo simulation.
So i am working on creating my own (MonteCarlo simulation) to try and get a better understanding of things.
Lets say i use a trend following system as an example
i look at the historical performance test and find it has 30% wins..
i then categorize the size of the historical wins
for example
10% of all wins might be +10
20% might be +5
30% might be +2
40% might be +1
i am randomizing the wins (30% win) and if its a winner i then randomize the win percent (say 10%) and pay accordingly (+10)..
my historical test my have 200 trades, so i run the above simulation 200 times... to get the performance of one instance.
then i run it to get another 10,000 instances...
am i on the right track ?
