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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@ -11,8 +11,6 @@ from freqtrade import misc, constants
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from freqtrade.exchange import get_ticker_history
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from freqtrade.arguments import TimeRange
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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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@ -83,7 +81,7 @@ def load_tickerdata_file(
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def load_data(datadir: str,
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ticker_interval: str,
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pairs: Optional[List[str]] = None,
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pairs: List[str],
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refresh_pairs: Optional[bool] = False,
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timerange: TimeRange = TimeRange(None, None, 0, 0)) -> Dict[str, List]:
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"""
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@ -92,14 +90,12 @@ def load_data(datadir: str,
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"""
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result = {}
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_pairs = pairs or hyperopt_optimize_conf()['exchange']['pair_whitelist']
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# If the user force the refresh of pairs
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if refresh_pairs:
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logger.info('Download data for all pairs and store them in %s', datadir)
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download_pairs(datadir, _pairs, ticker_interval, timerange=timerange)
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download_pairs(datadir, pairs, ticker_interval, timerange=timerange)
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for pair in _pairs:
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for pair in pairs:
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pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
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if pairdata:
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result[pair] = pairdata
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@ -27,7 +27,6 @@ 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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@ -596,11 +595,8 @@ def start(args: Namespace) -> None:
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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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@ -23,8 +23,6 @@ def init_hyperopt(default_conf, mocker):
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global _HYPEROPT_INITIALIZED, _HYPEROPT
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if not _HYPEROPT_INITIALIZED:
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mocker.patch('freqtrade.exchange.validate_pairs', MagicMock(return_value=True))
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mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf',
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MagicMock(return_value=default_conf))
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mocker.patch('freqtrade.exchange.validate_pairs', MagicMock())
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_HYPEROPT = Hyperopt(default_conf)
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_HYPEROPT_INITIALIZED = True
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@ -64,8 +62,6 @@ def test_start(mocker, default_conf, caplog) -> None:
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"""
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start_mock = MagicMock()
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mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
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mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf',
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MagicMock(return_value=default_conf))
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mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
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args = [
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@ -182,7 +178,6 @@ def test_fmin_best_results(mocker, init_hyperopt, default_conf, caplog) -> None:
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mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
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mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value=fmin_result)
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mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
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mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
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StrategyResolver({'strategy': 'DefaultStrategy'})
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@ -227,7 +222,6 @@ def test_fmin_throw_value_error(mocker, init_hyperopt, default_conf, caplog) ->
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conf.update({'epochs': 1})
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conf.update({'timerange': None})
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conf.update({'spaces': 'all'})
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mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
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mocker.patch('freqtrade.freqtradebot.exchange.validate_pairs', MagicMock())
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StrategyResolver({'strategy': 'DefaultStrategy'})
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@ -270,7 +264,6 @@ def test_resuming_previous_hyperopt_results_succeeds(mocker, init_hyperopt, defa
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mocker.patch('freqtrade.optimize.hyperopt.sorted', return_value=trials.results)
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mocker.patch('freqtrade.optimize.hyperopt.load_data', MagicMock())
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mocker.patch('freqtrade.optimize.hyperopt.fmin', return_value={})
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mocker.patch('freqtrade.optimize.hyperopt.hyperopt_optimize_conf', return_value=conf)
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mocker.patch('freqtrade.exchange.validate_pairs', MagicMock())
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StrategyResolver({'strategy': 'DefaultStrategy'})
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@ -326,8 +326,6 @@ def test_load_tickerdata_file() -> None:
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def test_init(default_conf, mocker) -> None:
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conf = {'exchange': {'pair_whitelist': []}}
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mocker.patch('freqtrade.optimize.hyperopt_optimize_conf', return_value=conf)
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assert {} == optimize.load_data(
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'',
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pairs=[],
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@ -1,42 +0,0 @@
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"""
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File that contains the configuration for Hyperopt
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"""
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def hyperopt_optimize_conf() -> dict:
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"""
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This function is used to define which parameters Hyperopt must used.
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The "pair_whitelist" is only used is your are using Hyperopt with MongoDB,
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without MongoDB, Hyperopt will use the pair your have set in your config file.
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:return:
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"""
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return {
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'max_open_trades': 3,
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'stake_currency': 'BTC',
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'stake_amount': 0.01,
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"minimal_roi": {
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'40': 0.0,
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'30': 0.01,
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'20': 0.02,
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'0': 0.04,
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},
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'stoploss': -0.10,
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"bid_strategy": {
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"ask_last_balance": 0.0
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},
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"exchange": {
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"name": "bittrex",
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"pair_whitelist": [
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"ETH/BTC",
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"LTC/BTC",
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"ETC/BTC",
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"DASH/BTC",
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"ZEC/BTC",
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"XLM/BTC",
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"NXT/BTC",
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"POWR/BTC",
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"ADA/BTC",
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"XMR/BTC"
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]
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}
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}
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