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update ops register
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@@ -1,83 +0,0 @@
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# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT License.
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import sys
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from pathlib import Path
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import qlib
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import numpy as np
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import pandas as pd
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from qlib.data import D
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from qlib.data.ops import Operators, ElemOperator, PairOperator
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from qlib.config import REG_CN
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from qlib.utils import exists_qlib_data
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class Diff(ElemOperator):
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"""Feature First Difference
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Parameters
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----------
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feature : Expression
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feature instance
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Returns
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----------
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Expression
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a feature instance with first difference
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"""
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def __init__(self, feature):
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super(Diff, self).__init__(feature, "diff")
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def _load_internal(self, instrument, start_index, end_index, freq):
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series = self.feature.load(instrument, start_index, end_index, freq)
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return series.diff()
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def get_extended_window_size(self):
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lft_etd, rght_etd = self.feature.get_extended_window_size()
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return lft_etd + 1, rght_etd
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class Distance(PairOperator):
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"""Feature Distance
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Parameters
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----------
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feature : Expression
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feature instance
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Returns
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----------
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Expression
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a feature instance with distance
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"""
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def __init__(self, feature_left, feature_right):
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super(Distance, self).__init__(feature_left, feature_right, "distance")
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def _load_internal(self, instrument, start_index, end_index, freq):
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series_left = self.feature_left.load(instrument, start_index, end_index, freq)
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series_right = self.feature_right.load(instrument, start_index, end_index, freq)
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return np.abs(series_left - series_right)
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if __name__ == "__main__":
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# register custom operators
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OpsList = [Diff, Distance]
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Operators.register(OpsList)
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# use default data
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provider_uri = "~/.qlib/qlib_data/cn_data" # target_dir
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if not exists_qlib_data(provider_uri):
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print(f"Qlib data is not found in {provider_uri}")
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sys.path.append(str(Path(__file__).resolve().parent.parent.joinpath("scripts")))
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from get_data import GetData
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GetData().qlib_data(target_dir=provider_uri, region=REG_CN)
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qlib.init(provider_uri=provider_uri, region=REG_CN)
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instruments = ["SH600000"]
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fields = ["Diff($close)", "Distance($close, Ref($close, 1))"]
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print(D.features(instruments, fields, start_time="2010-01-01", end_time="2017-12-31", freq="day"))
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