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fix: end-timestamp 23:45, weg, SZ-beispiele weg
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@@ -87,7 +87,7 @@ qlib_factor_strategy: |-
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qlib_factor_output_format: |-
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Your output should be a pandas dataframe similar to the following example information:
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<class 'pandas.core.frame.DataFrame'>
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MultiIndex: 99904 entries, (Timestamp('2022-03-14 16:30:00'), 'EURUSD') to (Timestamp('2026-03-20 00:00:00'), 'EURUSD')
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MultiIndex: 99904 entries, (Timestamp('2022-03-14 16:30:00'), 'EURUSD') to (Timestamp('2026-03-20 23:45:00'), 'EURUSD')
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Data columns (total 1 columns):
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# Column Non-Null Count Dtype
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--- ------ -------------- -----
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@@ -98,13 +98,6 @@ qlib_factor_output_format: |-
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One possible format of `result.h5` may be like following:
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datetime instrument
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2022-03-14 EURUSD -0.000234
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SZ000166 0.005780
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SZ000686 0.004228
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SZ000712 0.001298
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SZ000728 0.005330
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...
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2021-12-31 SZ000750 0.000000
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SZ000776 0.002459
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qlib_factor_simulator: |-
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The factors will be sent into Qlib to train a model to predict the next several 15min bars return based on the factor values of the previous bars.
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