Improve wording, fix bug
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@ -7,7 +7,7 @@ Protections will protect your strategy from unexpected events and market conditi
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All protection end times are rounded up to the next candle to avoid sudden, unexpected intra-candle buys.
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All protection end times are rounded up to the next candle to avoid sudden, unexpected intra-candle buys.
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!!! Note
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!!! Note
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Not all Protections will work for all strategies, and parameters will need to be tuned for your strategy.
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Not all Protections will work for all strategies, and parameters will need to be tuned for your strategy to improve performance.
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!!! Tip
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!!! Tip
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Each Protection can be configured multiple times with different parameters, to allow different levels of protection (short-term / long-term).
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Each Protection can be configured multiple times with different parameters, to allow different levels of protection (short-term / long-term).
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@ -1,4 +1,5 @@
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from typing import Callable
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from typing import Callable
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from cachetools import TTLCache, cached
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from cachetools import TTLCache, cached
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@ -18,6 +18,7 @@ from freqtrade.data.converter import trim_dataframe
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.data.dataprovider import DataProvider
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from freqtrade.exceptions import OperationalException
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from freqtrade.exceptions import OperationalException
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds
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from freqtrade.mixins import LoggingMixin
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from freqtrade.optimize.optimize_reports import (generate_backtest_stats, show_backtest_results,
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from freqtrade.optimize.optimize_reports import (generate_backtest_stats, show_backtest_results,
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store_backtest_stats)
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store_backtest_stats)
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from freqtrade.pairlist.pairlistmanager import PairListManager
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from freqtrade.pairlist.pairlistmanager import PairListManager
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@ -25,7 +26,6 @@ from freqtrade.persistence import PairLocks, Trade
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from freqtrade.plugins.protectionmanager import ProtectionManager
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from freqtrade.plugins.protectionmanager import ProtectionManager
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from freqtrade.resolvers import ExchangeResolver, StrategyResolver
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from freqtrade.resolvers import ExchangeResolver, StrategyResolver
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from freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType
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from freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType
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from freqtrade.mixins import LoggingMixin
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -54,7 +54,10 @@ class MaxDrawdown(IProtection):
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return False, None, None
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return False, None, None
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# Drawdown is always positive
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# Drawdown is always positive
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drawdown, _, _ = calculate_max_drawdown(trades_df, value_col='close_profit')
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try:
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drawdown, _, _ = calculate_max_drawdown(trades_df, value_col='close_profit')
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except ValueError:
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return False, None, None
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if drawdown > self._max_allowed_drawdown:
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if drawdown > self._max_allowed_drawdown:
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self.log_once(
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self.log_once(
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@ -304,6 +304,18 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
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'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
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'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
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min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
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min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
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))
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))
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Trade.session.add(generate_mock_trade(
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'ETH/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
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min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
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))
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Trade.session.add(generate_mock_trade(
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'NEO/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
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min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
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))
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# No losing trade yet ... so max_drawdown will raise exception
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assert not freqtrade.protections.global_stop()
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assert not freqtrade.protections.stop_per_pair('XRP/BTC')
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Trade.session.add(generate_mock_trade(
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Trade.session.add(generate_mock_trade(
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'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
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'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
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min_ago_open=500, min_ago_close=400, profit_rate=0.9,
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min_ago_open=500, min_ago_close=400, profit_rate=0.9,
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