qlib_init: provider_uri: "~/.qlib/qlib_data/cn_data" region: cn market: &market csi300 benchmark: &benchmark SH000300 data_handler_config: &data_handler_config start_time: 2008-01-01 end_time: 2020-08-01 fit_start_time: 2008-01-01 fit_end_time: 2014-12-31 instruments: *market infer_processors: - class: RobustZScoreNorm kwargs: fields_group: feature clip_outlier: true - class: Fillna kwargs: fields_group: feature learn_processors: - class: DropnaLabel - class: CSRankNorm kwargs: fields_group: label label: ["Ref($close, -2) / Ref($close, -1) - 1"] port_analysis_config: &port_analysis_config strategy: class: TopkDropoutStrategy module_path: qlib.contrib.strategy kwargs: signal: topk: 50 n_drop: 5 backtest: start_time: 2017-01-01 end_time: 2020-08-01 account: 100000000 benchmark: *benchmark exchange_kwargs: limit_threshold: 0.095 deal_price: close open_cost: 0.0005 close_cost: 0.0015 min_cost: 5 task: model: class: HIST module_path: qlib.contrib.model.pytorch_hist kwargs: d_feat: 6 hidden_size: 64 num_layers: 2 dropout: 0 n_epochs: 200 lr: 1e-4 early_stop: 20 metric: ic loss: mse base_model: LSTM model_path: "benchmarks/LSTM/model_lstm_csi300.pkl" stock2concept: "benchmarks/HIST/qlib_csi300_stock2concept.npy" stock_index: "benchmarks/HIST/qlib_csi300_stock_index.npy" GPU: 0 dataset: class: DatasetH module_path: qlib.data.dataset kwargs: handler: class: Alpha360 module_path: qlib.contrib.data.handler kwargs: *data_handler_config segments: train: [2008-01-01, 2014-12-31] valid: [2015-01-01, 2016-12-31] test: [2017-01-01, 2020-08-01] record: - class: SignalRecord module_path: qlib.workflow.record_temp kwargs: model: dataset: - class: SigAnaRecord module_path: qlib.workflow.record_temp kwargs: ana_long_short: False ann_scaler: 252 - class: PortAnaRecord module_path: qlib.workflow.record_temp kwargs: config: *port_analysis_config