Merge pull request #2114 from CedricSchmeits/negativeSharpeLoss
As -sharp_ratio is returned the value should be nagative.
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		| @@ -39,7 +39,7 @@ class SharpeHyperOptLoss(IHyperOptLoss): | ||||
|             sharp_ratio = expected_yearly_return / np.std(total_profit) * np.sqrt(365) | ||||
|         else: | ||||
|             # Define high (negative) sharpe ratio to be clear that this is NOT optimal. | ||||
|             sharp_ratio = 20. | ||||
|             sharp_ratio = -20. | ||||
|  | ||||
|         # print(expected_yearly_return, np.std(total_profit), sharp_ratio) | ||||
|         return -sharp_ratio | ||||
|   | ||||
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