the optimizer expects values in the order of smaller is better
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@ -75,8 +75,8 @@ def backtest(conf, pairs, mocker, buy_strategy):
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print_results(results)
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if len(results.index) < 800:
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return 0
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return results.profit.sum() / results.duration.mean()
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return 100000 # return large number to "ignore" this result
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return results.duration.mean() / results.profit.sum() # the smaller the better
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def buy_strategy_generator(params):
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print(params)
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@ -121,4 +121,4 @@ def test_hyperopt(conf, pairs, mocker):
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}
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# print(hyperopt.pyll.stochastic.sample(space))
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print(fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=2))
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print('Best parameters {}'.format(fmin(fn=optimizer, space=space, algo=tpe.suggest, max_evals=10)))
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