# Exp 7 (baseline) — LightGBM on the 60-ETF lake, typical algo-trading hyperparams. # Universe: all 60 lake ETFs. Features: OHLCV + 28 ta-lib (auto-discovered). # train 2022-01-01..2025-06-30 / valid 2025-07-01..2025-12-31 / test 2026-01-01..2026-08-12 {%- set LAKE = TAC_LAKE_DIR %} qlib_init: provider_uri: "{{ LAKE }}" region: us expression_cache: null dataset_cache: null calendar_provider: class: tac_qlib.data.providers.LakeCalendarProvider kwargs: lake_root: "{{ LAKE }}" market: US instrument_provider: class: tac_qlib.data.providers.LakeInstrumentProvider kwargs: lake_root: "{{ LAKE }}" market: US markets: {} feature_provider: class: tac_qlib.data.providers.LakeFeatureProvider kwargs: lake_root: "{{ LAKE }}" market: US exp_manager: class: MLflowExpManager module_path: qlib.workflow.expm kwargs: uri: "sqlite:///mlruns.db" default_exp_name: "tac-lake-lgb-baseline" task: model: class: LGBModel module_path: qlib.contrib.model.gbdt kwargs: loss: mse learning_rate: 0.05 num_leaves: 64 n_estimators: 200 colsample_bytree: 0.8 subsample: 0.8 subsample_freq: 1 reg_alpha: 0.01 reg_lambda: 0.01 dataset: class: DatasetH module_path: qlib.data.dataset kwargs: handler: class: TACHandler module_path: tac_qlib.contrib.data.handler kwargs: instruments: all start_time: 2021-10-01 end_time: 2026-08-12 fit_start_time: 2022-01-01 fit_end_time: 2025-06-30 freq: day lake_root: "{{ LAKE }}" market: US segments: train: [2022-01-01, 2025-06-30] valid: [2025-07-01, 2025-12-31] test: [2026-01-01, 2026-08-12] record: - class: SignalRecord module_path: qlib.workflow.record_temp kwargs: {} - class: SigAnaRecord module_path: qlib.workflow.record_temp kwargs: ana_long_short: true ann_scaler: 252 - class: PortAnaRecord module_path: qlib.workflow.record_temp kwargs: config: strategy: class: TopkDropoutStrategy module_path: qlib.contrib.strategy kwargs: signal: "" topk: 2 n_drop: 1 only_tradable: true risk_degree: 0.95 backtest: start_time: 2026-01-01 end_time: 2026-08-12 account: 1000000 benchmark: SPY exchange_kwargs: codes: all deal_price: $close freq: day open_cost: 0.0005 close_cost: 0.0015 min_cost: 5.0 risk_analysis_freq: 1d