AgustinKasp
05-19-2017,
Monte Carlo analysis with strange results
preliminary testing only looks at one particular instance of an infinite number of random walk paths. It is by no means conclusive. A system will probably generate multiple buy signals on the same day. A trader with sufficient capital for only 1 more trade has to select which signal to buy on. Different trade selections will yield very different final equity results. The results analyzed only accounts for 1 possible instance out of an almost infinite number of trading decision combinations. In order to verify the statistical accuracy of the result, the system would be to be tested exhaustively. This can be achieved by random walking using Monte Carlo analysis. Whenever the system generates multiple trading signals, only one would be chosen at random. This is done 10,000 times. With this, a mean net profit and accuracy together with their corresponding standard deviation can be obtained. After which, a 95% confidence interval can be determined.
preliminary testing only looks at one particular instance of an infinite number of random walk paths. It is by no means conclusive. A system will probably generate multiple buy signals on the same day. A trader with sufficient capital for only 1 more trade has to select which signal to buy on. Different trade selections will yield very different final equity results. The results analyzed only accounts for 1 possible instance out of an almost infinite number of trading decision combinations. In order to verify the statistical accuracy of the result, the system would be to be tested exhaustively. This can be achieved by random walking using Monte Carlo analysis. Whenever the system generates multiple trading signals, only one would be chosen at random. This is done 10,000 times. With this, a mean net profit and accuracy together with their corresponding standard deviation can be obtained. After which, a 95% confidence interval can be determined.