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verified publisher icon owocki

`/admin/optimize` graphs are not helpful

Open owocki opened this issue 9 years ago • 2 comments

These graphs:

were originally designed as a way to test whether trade.py parameters were correctly predicting the market, but they're just not all that useful. We need to come up with a better way to gauging how well our trade parameters are following the market.

owocki avatar Apr 03 '16 17:04 owocki

Finding the conditions where it was correct 11% As well as what was causing the other 89% is important.

Is there away to aggregate 'meta' conditions on these trades; or, find similarities in conditions and execution?

NDuma avatar Apr 03 '16 17:04 NDuma

I'm not sure what you mean by 'conditions and executions'.

The meta information at the top of admin/*_charts, median, low, high, average, are the aggregated values for the group of selected tests.

If you scroll down admin/*_charts you will see the distribution of success for each tuning parameter .

owocki avatar Apr 03 '16 21:04 owocki