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@@ -19,7 +19,6 @@ from typing import Dict, Any, Callable, Optional
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import numpy
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import talib.abstract as ta
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from hyperopt import STATUS_FAIL, STATUS_OK, Trials, fmin, hp, space_eval, tpe
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from hyperopt.mongoexp import MongoTrials
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from pandas import DataFrame
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import freqtrade.vendor.qtpylib.indicators as qtpylib
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@@ -27,7 +26,6 @@ from freqtrade.arguments import Arguments
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from freqtrade.configuration import Configuration
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from freqtrade.optimize import load_data
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from freqtrade.optimize.backtesting import Backtesting
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from user_data.hyperopt_conf import hyperopt_optimize_conf
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logger = logging.getLogger(__name__)
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@@ -449,7 +447,7 @@ class Hyperopt(Backtesting):
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total_profit = results.profit_percent.sum()
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trade_count = len(results.index)
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trade_duration = results.duration.mean()
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trade_duration = results.trade_duration.mean()
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if trade_count == 0 or trade_duration > self.max_accepted_trade_duration:
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print('.', end='')
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@@ -486,10 +484,10 @@ class Hyperopt(Backtesting):
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'Total profit {: 11.8f} {} ({:.4f}Σ%). Avg duration {:5.1f} mins.').format(
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len(results.index),
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results.profit_percent.mean() * 100.0,
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results.profit_BTC.sum(),
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results.profit_abs.sum(),
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self.config['stake_currency'],
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results.profit_percent.sum(),
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results.duration.mean(),
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results.trade_duration.mean(),
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)
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def start(self) -> None:
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@@ -506,32 +504,20 @@ class Hyperopt(Backtesting):
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self.analyze.populate_indicators = Hyperopt.populate_indicators # type: ignore
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self.processed = self.tickerdata_to_dataframe(data)
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if self.config.get('mongodb'):
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logger.info('Using mongodb ...')
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logger.info('Preparing Trials..')
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signal.signal(signal.SIGINT, self.signal_handler)
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# read trials file if we have one
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if os.path.exists(self.trials_file) and os.path.getsize(self.trials_file) > 0:
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self.trials = self.read_trials()
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self.current_tries = len(self.trials.results)
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self.total_tries += self.current_tries
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logger.info(
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'Start scripts/start-mongodb.sh and start-hyperopt-worker.sh manually!'
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'Continuing with trials. Current: %d, Total: %d',
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self.current_tries,
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self.total_tries
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)
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db_name = 'freqtrade_hyperopt'
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self.trials = MongoTrials(
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arg='mongo://127.0.0.1:1234/{}/jobs'.format(db_name),
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exp_key='exp1'
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)
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else:
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logger.info('Preparing Trials..')
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signal.signal(signal.SIGINT, self.signal_handler)
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# read trials file if we have one
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if os.path.exists(self.trials_file) and os.path.getsize(self.trials_file) > 0:
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self.trials = self.read_trials()
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self.current_tries = len(self.trials.results)
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self.total_tries += self.current_tries
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logger.info(
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'Continuing with trials. Current: %d, Total: %d',
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self.current_tries,
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self.total_tries
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)
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try:
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best_parameters = fmin(
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fn=self.generate_optimizer,
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@@ -587,18 +573,14 @@ def start(args: Namespace) -> None:
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"""
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# Remove noisy log messages
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logging.getLogger('hyperopt.mongoexp').setLevel(logging.WARNING)
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logging.getLogger('hyperopt.tpe').setLevel(logging.WARNING)
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# Initialize configuration
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# Monkey patch the configuration with hyperopt_conf.py
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configuration = Configuration(args)
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logger.info('Starting freqtrade in Hyperopt mode')
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config = configuration.load_config()
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optimize_config = hyperopt_optimize_conf()
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config = configuration._load_common_config(optimize_config)
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config = configuration._load_backtesting_config(config)
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config = configuration._load_hyperopt_config(config)
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config['exchange']['key'] = ''
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config['exchange']['secret'] = ''
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