Pass analyzed dataframe to get_signal
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@ -424,7 +424,8 @@ class FreqtradeBot:
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return False
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# running get_signal on historical data fetched
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(buy, sell) = self.strategy.get_signal(pair, self.strategy.timeframe)
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analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(pair, self.strategy.timeframe)
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(buy, sell) = self.strategy.get_signal(pair, self.strategy.timeframe, analyzed_df)
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if buy and not sell:
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stake_amount = self.get_trade_stake_amount(pair)
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@ -705,7 +706,10 @@ class FreqtradeBot:
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if (config_ask_strategy.get('use_sell_signal', True) or
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config_ask_strategy.get('ignore_roi_if_buy_signal', False)):
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(buy, sell) = self.strategy.get_signal(trade.pair, self.strategy.timeframe)
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analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(trade.pair,
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self.strategy.timeframe)
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(buy, sell) = self.strategy.get_signal(trade.pair, self.strategy.timeframe, analyzed_df)
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if config_ask_strategy.get('use_order_book', False):
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order_book_min = config_ask_strategy.get('order_book_min', 1)
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@ -406,19 +406,15 @@ class IStrategy(ABC):
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else:
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raise StrategyError(f"Dataframe returned from strategy has mismatching {message}.")
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def get_signal(self, pair: str, timeframe: str) -> Tuple[bool, bool]:
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def get_signal(self, pair: str, timeframe: str, dataframe: DataFrame) -> Tuple[bool, bool]:
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"""
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Calculates current signal based based on the buy / sell columns of the dataframe.
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Used by Bot to get the signal to buy or sell
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:param pair: pair in format ANT/BTC
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:param timeframe: timeframe to use
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:param dataframe: Analyzed dataframe to get signal from.
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:return: (Buy, Sell) A bool-tuple indicating buy/sell signal
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"""
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if not self.dp:
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raise OperationalException("DataProvider not found.")
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dataframe, _ = self.dp.get_analyzed_dataframe(pair, timeframe)
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if not isinstance(dataframe, DataFrame) or dataframe.empty:
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logger.warning(f'Empty candle (OHLCV) data for pair {pair}')
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return False, False
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@ -163,7 +163,7 @@ def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
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:param value: which value IStrategy.get_signal() must return
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:return: None
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"""
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freqtrade.strategy.get_signal = lambda e, s: value
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freqtrade.strategy.get_signal = lambda e, s, x: value
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freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
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@ -31,40 +31,15 @@ def test_returns_latest_signal(mocker, default_conf, ohlcv_history):
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mocked_history['buy'] = 0
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mocked_history.loc[1, 'sell'] = 1
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mocker.patch.object(
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_STRATEGY.dp, 'get_analyzed_dataframe',
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return_value=(mocked_history, 0)
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)
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assert _STRATEGY.get_signal('ETH/BTC', '5m') == (False, True)
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, True)
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'buy'] = 1
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mocker.patch.object(
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_STRATEGY.dp, 'get_analyzed_dataframe',
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return_value=(mocked_history, 0)
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)
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assert _STRATEGY.get_signal('ETH/BTC', '5m') == (True, False)
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (True, False)
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mocked_history.loc[1, 'sell'] = 0
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mocked_history.loc[1, 'buy'] = 0
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mocker.patch.object(
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_STRATEGY.dp, 'get_analyzed_dataframe',
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return_value=(mocked_history, 0)
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)
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assert _STRATEGY.get_signal('ETH/BTC', '5m') == (False, False)
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def test_trade_no_dataprovider(default_conf, mocker, caplog):
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strategy = DefaultStrategy({})
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# Delete DP for sure (suffers from test leakage, as this is updated in the base class)
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if strategy.dp is not None:
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strategy.dp = None
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with pytest.raises(OperationalException, match="DataProvider not found."):
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strategy.get_signal('ETH/BTC', '5m')
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with pytest.raises(OperationalException, match="DataProvider not found."):
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strategy.analyze_pair('ETH/BTC')
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assert _STRATEGY.get_signal('ETH/BTC', '5m', mocked_history) == (False, False)
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def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
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@ -81,18 +56,15 @@ def test_analyze_pair_empty(default_conf, mocker, caplog, ohlcv_history):
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def test_get_signal_empty(default_conf, mocker, caplog):
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mocker.patch.object(_STRATEGY.dp, 'get_analyzed_dataframe', return_value=(DataFrame(), 0))
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assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'])
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assert (False, False) == _STRATEGY.get_signal('foo', default_conf['timeframe'], DataFrame())
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assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
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caplog.clear()
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mocker.patch.object(_STRATEGY.dp, 'get_analyzed_dataframe', return_value=(None, 0))
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assert (False, False) == _STRATEGY.get_signal('bar', default_conf['timeframe'])
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assert (False, False) == _STRATEGY.get_signal('bar', default_conf['timeframe'], None)
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assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
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caplog.clear()
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mocker.patch.object(_STRATEGY.dp, 'get_analyzed_dataframe', return_value=(DataFrame([]), 0))
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assert (False, False) == _STRATEGY.get_signal('baz', default_conf['timeframe'])
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assert (False, False) == _STRATEGY.get_signal('baz', default_conf['timeframe'], DataFrame([]))
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assert log_has('Empty candle (OHLCV) data for pair baz', caplog)
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@ -126,10 +98,9 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
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mocked_history.loc[1, 'buy'] = 1
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caplog.set_level(logging.INFO)
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mocker.patch.object(_STRATEGY.dp, 'get_analyzed_dataframe', return_value=(mocked_history, 0))
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mocker.patch.object(_STRATEGY, 'assert_df')
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assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'])
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assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'], mocked_history)
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assert log_has('Outdated history for pair xyz. Last tick is 16 minutes old', caplog)
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