qlib_init: provider_uri: day: "~/.qlib/qlib_data/cn_data" 1min: "~/.qlib/qlib_data/cn_data_1min" region: cn dataset_cache: null maxtasksperchild: null market: &market csi300 benchmark: &benchmark SH000300 data_handler_config: &data_handler_config start_time: 2008-01-01 # 1min closing time is 15:00:00 end_time: "2020-08-01 15:00:00" fit_start_time: 2008-01-01 fit_end_time: 2014-12-31 instruments: *market freq: label: day feature_15min: 1min feature_day: day # with label as reference inst_processors: feature_15min: - class: ResampleNProcessor module_path: features_resample_N.py kwargs: target_frq: 1d 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: LGBModel module_path: qlib.contrib.model.gbdt kwargs: loss: mse colsample_bytree: 0.8879 learning_rate: 0.2 subsample: 0.8789 lambda_l1: 205.6999 lambda_l2: 580.9768 max_depth: 8 num_leaves: 210 num_threads: 20 dataset: class: DatasetH module_path: qlib.data.dataset kwargs: handler: class: Avg15minHandler module_path: multi_freq_handler.py 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