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Update Docs of Alpha360 (#777)
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@@ -90,7 +90,13 @@ class Alpha360(DataHandlerLP):
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return (["Ref($close, -2)/Ref($close, -1) - 1"], ["LABEL0"])
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def get_feature_config(self):
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# NOTE:
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# Alpha360 tries to provide a dataset with original price data
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# the original price data includes the prices and volume in the last 60 days.
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# To make it easier to learn models from this dataset, all the prices and volume
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# are normalized by the latest price and volume data ( dividing by $close, $volume)
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# So the latest normalized $close will be 1 (with name CLOSE0), the latest normalized $volume will be 1 (with name VOLUME0)
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# If further normalization are executed (e.g. centralization), CLOSE0 and VOLUME0 will be 0.
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fields = []
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names = []
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