qlib_init: provider_uri: "~/.qlib/qlib_data/cn_data_1min" region: cn market: &market 'csi300' start_time: &start_time "2020-09-15 00:00:00" end_time: &end_time "2021-01-18 16:00:00" train_end_time: &train_end_time "2020-11-15 16:00:00" valid_start_time: &valid_start_time "2020-11-16 00:00:00" valid_end_time: &valid_end_time "2020-11-30 16:00:00" test_start_time: &test_start_time "2020-12-01 00:00:00" data_handler_config: &data_handler_config start_time: *start_time end_time: *end_time fit_start_time: *start_time fit_end_time: *train_end_time instruments: *market freq: '1min' infer_processors: - class: 'RobustZScoreNorm' kwargs: fields_group: 'feature' clip_outlier: false - class: "Fillna" kwargs: fields_group: 'feature' learn_processors: - class: 'DropnaLabel' - class: 'CSRankNorm' kwargs: fields_group: 'label' label: ["Ref($close, -2) / Ref($close, -1) - 1"] task: model: class: "HFLGBModel" module_path: "qlib.contrib.model.highfreq_gdbt_model" kwargs: objective: 'binary' metric: ['binary_logloss','auc'] verbosity: -1 learning_rate: 0.01 max_depth: 8 num_leaves: 150 lambda_l1: 1.5 lambda_l2: 1 num_threads: 20 dataset: class: "DatasetH" module_path: "qlib.data.dataset" kwargs: handler: class: "Alpha158" module_path: "qlib.contrib.data.handler" kwargs: *data_handler_config segments: train: [*start_time, *train_end_time] valid: [*train_end_time, *valid_end_time] test: [*test_start_time, *end_time] record: - class: "SignalRecord" module_path: "qlib.workflow.record_temp" kwargs: {} - class: "HFSignalRecord" module_path: "qlib.workflow.record_temp" kwargs: {}