Changed max_open_trades type to int or inf
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@ -681,3 +681,4 @@ MakerTaker = Literal['maker', 'taker']
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BidAsk = Literal['bid', 'ask']
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Config = Dict[str, Any]
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IntOrInf = float
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@ -10,7 +10,7 @@ from typing import Any, Dict, List, Optional, Union
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import numpy as np
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import pandas as pd
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from freqtrade.constants import LAST_BT_RESULT_FN
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from freqtrade.constants import LAST_BT_RESULT_FN, IntOrInf
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from freqtrade.exceptions import OperationalException
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from freqtrade.misc import json_load
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from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename
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@ -332,7 +332,7 @@ def analyze_trade_parallelism(results: pd.DataFrame, timeframe: str) -> pd.DataF
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def evaluate_result_multi(results: pd.DataFrame, timeframe: str,
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max_open_trades: int) -> pd.DataFrame:
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max_open_trades: IntOrInf) -> pd.DataFrame:
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"""
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Find overlapping trades by expanding each trade once per period it was open
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and then counting overlaps
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@ -1237,8 +1237,8 @@ class Backtesting:
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if not self.config.get('use_max_market_positions', True):
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logger.info(
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'Ignoring max_open_trades (--disable-max-market-positions was used) ...')
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self.strategy.max_open_trades = -1
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self.config.update({'max_open_trades': float('inf')})
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self.strategy.max_open_trades = float('inf')
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self.config.update({'max_open_trades': self.strategy.max_open_trades})
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# need to reprocess data every time to populate signals
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preprocessed = self.strategy.advise_all_indicators(data)
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@ -120,8 +120,8 @@ class Hyperopt:
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# Use max_open_trades for hyperopt as well, except --disable-max-market-positions is set
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if not self.config.get('use_max_market_positions', True):
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logger.debug('Ignoring max_open_trades (--disable-max-market-positions was used) ...')
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self.backtesting.strategy.max_open_trades = -1
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config.update({'max_open_trades': float('inf')})
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self.backtesting.strategy.max_open_trades = float('inf')
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config.update({'max_open_trades': self.backtesting.strategy.max_open_trades})
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if HyperoptTools.has_space(self.config, 'sell'):
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# Make sure use_exit_signal is enabled
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@ -211,7 +211,8 @@ class Hyperopt:
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result['trailing'] = self.custom_hyperopt.generate_trailing_params(params)
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if HyperoptTools.has_space(self.config, 'trades'):
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result['max_open_trades'] = {
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'max_open_trades': self.backtesting.strategy.max_open_trades}
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'max_open_trades': self.backtesting.strategy.max_open_trades
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if self.backtesting.strategy.max_open_trades != float('inf') else -1}
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return result
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@ -344,16 +345,13 @@ class Hyperopt:
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# Ignore unlimited max open trades if stake amount is unlimited
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params_dict.update({'max_open_trades': self.config['max_open_trades']})
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updated_config_max_open_trades = int(params_dict['max_open_trades']) \
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updated_max_open_trades = int(params_dict['max_open_trades']) \
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if (params_dict['max_open_trades'] != -1
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and params_dict['max_open_trades'] != 0) else float('inf')
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updated_strategy_max_open_trades = int(updated_config_max_open_trades) \
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if updated_config_max_open_trades != float('inf') else -1
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self.config.update({'max_open_trades': updated_max_open_trades})
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self.config.update({'max_open_trades': updated_config_max_open_trades})
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self.backtesting.strategy.max_open_trades = updated_strategy_max_open_trades
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self.backtesting.strategy.max_open_trades = updated_max_open_trades
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with self.data_pickle_file.open('rb') as f:
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processed = load(f, mmap_mode='r')
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@ -8,7 +8,7 @@ from pandas import DataFrame, to_datetime
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from tabulate import tabulate
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from freqtrade.constants import (DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN, UNLIMITED_STAKE_AMOUNT,
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Config)
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Config, IntOrInf)
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from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
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calculate_expectancy, calculate_market_change,
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calculate_max_drawdown, calculate_sharpe, calculate_sortino)
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@ -191,7 +191,7 @@ def generate_tag_metrics(tag_type: str,
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return []
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def generate_exit_reason_stats(max_open_trades: int, results: DataFrame) -> List[Dict]:
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def generate_exit_reason_stats(max_open_trades: IntOrInf, results: DataFrame) -> List[Dict]:
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"""
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Generate small table outlining Backtest results
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:param max_open_trades: Max_open_trades parameter
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@ -104,11 +104,7 @@ class StrategyResolver(IResolver):
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if (attribute in config
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and not isinstance(getattr(type(strategy), attribute, None), property)):
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# Ensure Properties are not overwritten
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val = config[attribute]
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# max_open_trades set to float('inf') in the config will be copied as -1 in the strategy
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if attribute == 'max_open_trades' and val == float('inf'):
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val = -1
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setattr(strategy, attribute, val)
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setattr(strategy, attribute, config[attribute])
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logger.info("Override strategy '%s' with value in config file: %s.",
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attribute, config[attribute])
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elif hasattr(strategy, attribute):
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@ -137,6 +133,8 @@ class StrategyResolver(IResolver):
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key=lambda t: t[0]))
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if hasattr(strategy, 'stoploss'):
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strategy.stoploss = float(strategy.stoploss)
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if hasattr(strategy, 'max_open_trades') and strategy.max_open_trades < 0:
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strategy.max_open_trades = float('inf')
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return strategy
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@staticmethod
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@ -3,7 +3,7 @@ from typing import Any, Dict, List, Optional, Union
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from pydantic import BaseModel
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from freqtrade.constants import DATETIME_PRINT_FORMAT
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from freqtrade.constants import DATETIME_PRINT_FORMAT, IntOrInf
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from freqtrade.enums import OrderTypeValues, SignalDirection, TradingMode
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@ -165,7 +165,7 @@ class ShowConfig(BaseModel):
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stake_amount: str
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available_capital: Optional[float]
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stake_currency_decimals: int
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max_open_trades: int
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max_open_trades: IntOrInf
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minimal_roi: Dict[str, Any]
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stoploss: Optional[float]
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trailing_stop: Optional[bool]
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@ -422,7 +422,7 @@ class BacktestRequest(BaseModel):
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timeframe: Optional[str]
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timeframe_detail: Optional[str]
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timerange: Optional[str]
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max_open_trades: Optional[int]
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max_open_trades: Optional[IntOrInf]
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stake_amount: Optional[str]
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enable_protections: bool
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dry_run_wallet: Optional[float]
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@ -673,6 +673,7 @@ class RPC:
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if self._freqtrade.state == State.RUNNING:
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# Set 'max_open_trades' to 0
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self._freqtrade.config['max_open_trades'] = 0
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self._freqtrade.strategy.max_open_trades = 0
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return {'status': 'No more entries will occur from now. Run /reload_config to reset.'}
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@ -10,7 +10,7 @@ from typing import Dict, List, Optional, Tuple, Union
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import arrow
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from pandas import DataFrame
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from freqtrade.constants import Config, ListPairsWithTimeframes
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from freqtrade.constants import Config, IntOrInf, ListPairsWithTimeframes
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.enums import (CandleType, ExitCheckTuple, ExitType, RunMode, SignalDirection,
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SignalTagType, SignalType, TradingMode)
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@ -55,7 +55,7 @@ class IStrategy(ABC, HyperStrategyMixin):
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stoploss: float
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# max open trades for the strategy
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max_open_trades: int
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max_open_trades: IntOrInf
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# trailing stoploss
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trailing_stop: bool = False
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@ -1020,6 +1020,52 @@ def test_stake_amount_unlimited_max_open_trades(mocker, hyperopt_conf, tmpdir, f
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assert hyperopt.backtesting.strategy.max_open_trades == 1
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def test_max_open_trades_dump(mocker, hyperopt_conf, tmpdir, fee, capsys) -> None:
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# This test is to ensure that after hyperopting, max_open_trades is never
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# saved as inf in the output json params
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patch_exchange(mocker)
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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(Path(tmpdir) / 'hyperopt_results').mkdir(parents=True)
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hyperopt_conf.update({
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'strategy': 'HyperoptableStrategy',
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'user_data_dir': Path(tmpdir),
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'hyperopt_random_state': 42,
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'spaces': ['trades'],
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})
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hyperopt = Hyperopt(hyperopt_conf)
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mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._get_params_dict',
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return_value={
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'max_open_trades': -1
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})
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assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
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hyperopt.start()
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out, err = capsys.readouterr()
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assert 'max_open_trades = -1' in out
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assert 'max_open_trades = inf' not in out
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##############
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hyperopt_conf.update({'print_json': True})
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hyperopt = Hyperopt(hyperopt_conf)
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mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._get_params_dict',
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return_value={
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'max_open_trades': -1
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})
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assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
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hyperopt.start()
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out, err = capsys.readouterr()
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assert '"max_open_trades":-1' in out
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def test_max_open_trades_consistency(mocker, hyperopt_conf, tmpdir, fee) -> None:
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# This test is to ensure that max_open_trades is the same across all functions needing it
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# after it has been changed from the hyperopt
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@ -6,6 +6,7 @@ from pathlib import Path
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import pytest
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from pandas import DataFrame
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from freqtrade.configuration.configuration import Configuration
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from freqtrade.exceptions import OperationalException
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.strategy.interface import IStrategy
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@ -371,20 +372,26 @@ def test_strategy_max_open_trades_infinity_from_strategy(caplog, default_conf):
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strategy = StrategyResolver.load_strategy(default_conf)
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# this test assumes -1 set to 'max_open_trades' in CURRENT_TEST_STRATEGY
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assert strategy.max_open_trades == -1
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assert strategy.max_open_trades == float('inf')
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assert default_conf['max_open_trades'] == float('inf')
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def test_strategy_max_open_trades_infinity_from_config(caplog, default_conf):
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def test_strategy_max_open_trades_infinity_from_config(caplog, default_conf, mocker):
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caplog.set_level(logging.INFO)
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default_conf.update({
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'strategy': CURRENT_TEST_STRATEGY,
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'max_open_trades': float('inf')
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'max_open_trades': -1,
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'exchange': 'binance'
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})
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strategy = StrategyResolver.load_strategy(default_conf)
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configuration = Configuration(args=default_conf)
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parsed_config = configuration.get_config()
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assert strategy.max_open_trades == -1
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assert parsed_config['max_open_trades'] == float('inf')
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strategy = StrategyResolver.load_strategy(parsed_config)
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assert strategy.max_open_trades == float('inf')
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@ pytest.mark.filterwarnings("ignore:deprecated")
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@ -476,3 +483,19 @@ def test_strategy_interface_versioning(dataframe_1m, default_conf):
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assert isinstance(exitdf, DataFrame)
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assert 'sell' not in exitdf
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assert 'exit_long' in exitdf
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def test_strategy_ft_load_params_from_file(mocker, default_conf):
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default_conf.update({'strategy': 'StrategyTestV2'})
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del default_conf['max_open_trades']
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mocker.patch('freqtrade.strategy.hyper.HyperStrategyMixin.load_params_from_file',
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return_value={
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'params': {
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'max_open_trades': {
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'max_open_trades': -1
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}
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}
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})
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strategy = StrategyResolver.load_strategy(default_conf)
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assert strategy.max_open_trades == float('inf')
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assert strategy.config['max_open_trades'] == float('inf')
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