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											2021-03-07 03:09:47 +00:00
										 |  |  | qlib_init:
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							|  |  |  |     provider_uri: "~/.qlib/qlib_data/cn_data"
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							|  |  |  |     region: cn
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							|  |  |  | market: &market all
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							|  |  |  | benchmark: &benchmark SH000300
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							|  |  |  | data_handler_config: &data_handler_config
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							|  |  |  |     start_time: 2008-01-01
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							|  |  |  |     end_time: 2020-08-01
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							|  |  |  |     fit_start_time: 2008-01-01
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							|  |  |  |     fit_end_time: 2014-12-31
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							|  |  |  |     instruments: *market
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							|  |  |  |     infer_processors:
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							|  |  |  |         - class: RobustZScoreNorm
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							|  |  |  |           kwargs:
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							|  |  |  |               fields_group: feature
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							|  |  |  |               clip_outlier: true
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							|  |  |  |         - class: Fillna
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							|  |  |  |           kwargs:
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							|  |  |  |               fields_group: feature
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							|  |  |  |     learn_processors:
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							|  |  |  |         - class: DropnaLabel
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							|  |  |  |         - class: CSRankNorm
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							|  |  |  |           kwargs:
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							|  |  |  |               fields_group: label
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							|  |  |  |     label: ["Ref($close, -2) / Ref($close, -1) - 1"]
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							|  |  |  | 
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							|  |  |  | port_analysis_config: &port_analysis_config
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							|  |  |  |     strategy:
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							|  |  |  |         class: TopkDropoutStrategy
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							|  |  |  |         module_path: qlib.contrib.strategy.strategy
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							|  |  |  |         kwargs:
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							|  |  |  |             topk: 50
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							|  |  |  |             n_drop: 5
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							|  |  |  |     backtest:
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							|  |  |  |         verbose: False
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							|  |  |  |         limit_threshold: 0.095
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							|  |  |  |         account: 100000000
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							|  |  |  |         benchmark: *benchmark
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							|  |  |  |         deal_price: close
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							|  |  |  |         open_cost: 0.0005
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							|  |  |  |         close_cost: 0.0015
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							|  |  |  |         min_cost: 5
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							|  |  |  | task:
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							|  |  |  |     model:
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							|  |  |  |         class: DNNModelPytorch
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							|  |  |  |         module_path: qlib.contrib.model.pytorch_nn
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							|  |  |  |         kwargs:
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							|  |  |  |             loss: mse
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							|  |  |  |             input_dim: 360
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							|  |  |  |             output_dim: 1
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							|  |  |  |             lr: 0.002
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							|  |  |  |             lr_decay: 0.96
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							|  |  |  |             lr_decay_steps: 100
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							|  |  |  |             optimizer: adam
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							|  |  |  |             max_steps: 8000
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							|  |  |  |             batch_size: 4096
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							|  |  |  |             GPU: 0
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							|  |  |  |     dataset:
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							|  |  |  |         class: DatasetH
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							|  |  |  |         module_path: qlib.data.dataset
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							|  |  |  |         kwargs:
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							|  |  |  |             handler:
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							|  |  |  |                 class: Alpha360
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							|  |  |  |                 module_path: qlib.contrib.data.handler
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							|  |  |  |                 kwargs: *data_handler_config
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							|  |  |  |             segments:
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							|  |  |  |                 train: [2008-01-01, 2014-12-31]
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							|  |  |  |                 valid: [2015-01-01, 2016-12-31]
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							|  |  |  |                 test: [2017-01-01, 2020-08-01]
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							|  |  |  |     record: 
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							|  |  |  |         - class: SignalRecord
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							|  |  |  |           module_path: qlib.workflow.record_temp
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							|  |  |  |           kwargs: {}
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											2021-03-16 22:56:02 +08:00
										 |  |  |         - class: SignalMseRecord
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							|  |  |  |           module_path: qlib.contrib.workflow.record_temp
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							|  |  |  |           kwargs: {}
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											2021-03-07 03:09:47 +00:00
										 |  |  |         - class: SigAnaRecord
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							|  |  |  |           module_path: qlib.workflow.record_temp
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							|  |  |  |           kwargs: 
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							|  |  |  |             ana_long_short: False
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							|  |  |  |             ann_scaler: 252
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							|  |  |  |         - class: PortAnaRecord
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							|  |  |  |           module_path: qlib.workflow.record_temp
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							|  |  |  |           kwargs: 
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							|  |  |  |             config: *port_analysis_config
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