Add necesary noqa statements
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@ -1,13 +1,13 @@
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import logging
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from typing import Dict
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import numpy as np
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import pandas as pd
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import numpy as np # noqa
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import pandas as pd # noqa
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import talib.abstract as ta
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from pandas import DataFrame
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from technical import qtpylib
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from freqtrade.strategy import IntParameter, IStrategy, merge_informative_pair
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from freqtrade.strategy import IntParameter, IStrategy, merge_informative_pair # noqa
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logger = logging.getLogger(__name__)
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@ -224,12 +224,11 @@ class FreqaiExampleHybridStrategy(IStrategy):
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usage example: dataframe["&-target"] = dataframe["close"].shift(-1) / dataframe["close"]
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"""
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dataframe['&s-up_or_down'] = np.where(dataframe["close"].shift(-50) >
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dataframe["close"], 'up', 'down')
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dataframe["close"], 'up', 'down')
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return dataframe
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# flake8: noqa: C901
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame: # noqa: C901
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# User creates their own custom strat here. Present example is a supertrend
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# based strategy.
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