remove use of hyperopt_conf.py
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@@ -160,9 +160,8 @@ the parameter `-l` or `--live`.
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## Hyperopt commands
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It is possible to use hyperopt for trading strategy optimization.
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Hyperopt uses an internal json config return by `hyperopt_optimize_conf()`
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located in `freqtrade/optimize/hyperopt_conf.py`.
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To optimize your strategy, you can use hyperopt parameter hyperoptimization
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to find optimal parameter values for your stategy.
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```
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usage: main.py hyperopt [-h] [-i TICKER_INTERVAL] [--realistic-simulation]
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