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86 lines
2.6 KiB
YAML
86 lines
2.6 KiB
YAML
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 csi300
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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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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
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kwargs:
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model: <MODEL>
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dataset: <DATASET>
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topk: 50
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n_drop: 5
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backtest:
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start_time: 2017-01-01
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end_time: 2020-08-01
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account: 100000000
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benchmark: *benchmark
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executor:
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class: NestedExecutor
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module_path: qlib.backtest.executor
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kwargs:
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time_per_step: week
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inner_executor:
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class: SimulatorExecutor
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module_path: qlib.backtest.executor
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kwargs:
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time_per_step: day
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generate_report: True
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verbose: True
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inner_strategy:
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class: TWAPStrategy
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module_path: qlib.contrib.strategy.rule_strategy
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track_data: True
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generate_report: True
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task:
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model:
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class: CatBoostModel
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module_path: qlib.contrib.model.catboost_model
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kwargs:
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loss: RMSE
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learning_rate: 0.0421
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subsample: 0.8789
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max_depth: 6
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num_leaves: 100
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thread_count: 20
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grow_policy: Lossguide
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bootstrap_type: Poisson
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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: Alpha158
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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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model: <MODEL>
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dataset: <DATASET>
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- 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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model: <MODEL>
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dataset: <DATASET>
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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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risk_analysis_freq: day
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