refactor TRA

examples/benchmarks/TRA/workflow_config_tra_Alpha158.yaml

@@ -0,0 +1,125 @@
+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: FilterCol
+        kwargs:
+          fields_group: feature
+          col_list: ["RESI5", "WVMA5", "RSQR5", "KLEN", "RSQR10", "CORR5", "CORD5", "CORR10",
+                            "ROC60", "RESI10", "VSTD5", "RSQR60", "CORR60", "WVMA60", "STD5",
+                            "RSQR20", "CORD60", "CORD10", "CORR20", "KLOW"]
+      - class: RobustZScoreNorm
+        kwargs:
+          fields_group: feature
+          clip_outlier: true
+      - class: Fillna
+        kwargs:
+          fields_group: feature
+    learn_processors:
+        - class: CSRankNorm
+          kwargs:
+              fields_group: label
+    label: ["Ref($close, -2) / Ref($close, -1) - 1"]
+
+num_states: &num_states 3
+
+memory_mode: &memory_mode sample
+
+tra_config: &tra_config
+  num_states: *num_states
+  hidden_size: 16
+  tau: 1.0
+  src_info: LR_TPE
+
+model_config: &model_config
+  input_size: 20
+  hidden_size: 64
+  num_layers: 2
+  rnn_arch: LSTM
+  use_attn: True
+  dropout: 0.0
+
+port_analysis_config: &port_analysis_config
+    strategy:
+        class: TopkDropoutStrategy
+        module_path: qlib.contrib.strategy.strategy
+        kwargs:
+            topk: 50
+            n_drop: 5
+    backtest:
+        verbose: False
+        limit_threshold: 0.095
+        account: 100000000
+        benchmark: *benchmark
+        deal_price: close
+        open_cost: 0.0005
+        close_cost: 0.0015
+        min_cost: 5
+
+task:
+  model:
+    class: TRAModel
+    module_path: qlib.contrib.model.pytorch_tra
+    kwargs:
+      tra_config: *tra_config
+      model_config: *model_config
+      lr: 1e-3
+      n_epochs: 100
+      max_steps_per_epoch: 100
+      early_stop: 10
+      smooth_steps: 5
+      seed: 0
+      logdir: output/Alpha158/router
+      lamb: 1.0
+      rho: 1.0
+      transport_method: router
+      memory_mode: *memory_mode
+      eval_train: False
+      eval_test: True
+      pretrain: False
+      init_state:
+      freeze_model: False
+      freeze_predictors: False
+  dataset:
+    class: MTSDatasetH
+    module_path: qlib.contrib.data.dataset
+    kwargs:
+      handler:
+        class: Alpha158
+        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]
+      seq_len: 60
+      horizon: 2
+      input_size:
+      num_states: *num_states
+      batch_size: 1024
+      n_samples:
+      memory_mode: *memory_mode
+      drop_last: True
+  record:
+    - class: SignalRecord
+      module_path: qlib.workflow.record_temp
+      kwargs: {}
+    - 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

examples/benchmarks/TRA/workflow_config_tra_Alpha158_full.yaml

@@ -0,0 +1,118 @@
+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: CSRankNorm
+          kwargs:
+              fields_group: label
+    label: ["Ref($close, -2) / Ref($close, -1) - 1"]
+
+num_states: &num_states 3
+
+memory_mode: &memory_mode sample
+
+tra_config: &tra_config
+  num_states: *num_states
+  hidden_size: 16
+  tau: 1.0
+  src_info: TPE
+
+model_config: &model_config
+  input_size: 158
+  hidden_size: 256
+  num_layers: 2
+  use_attn: True
+  dropout: 0.2
+
+port_analysis_config: &port_analysis_config
+    strategy:
+        class: TopkDropoutStrategy
+        module_path: qlib.contrib.strategy.strategy
+        kwargs:
+            topk: 50
+            n_drop: 5
+    backtest:
+        verbose: False
+        limit_threshold: 0.095
+        account: 100000000
+        benchmark: *benchmark
+        deal_price: close
+        open_cost: 0.0005
+        close_cost: 0.0015
+        min_cost: 5
+
+task:
+  model:
+    class: TRAModel
+    module_path: qlib.contrib.model.pytorch_tra
+    kwargs:
+      tra_config: *tra_config
+      model_config: *model_config
+      lr: 1e-3
+      n_epochs: 100
+      max_steps_per_epoch: 100
+      early_stop: 10
+      smooth_steps: 5
+      seed: 0
+      logdir: output/Alpha158_full/router
+      lamb: 1.0
+      rho: 1.0
+      transport_method: router
+      memory_mode: *memory_mode
+      eval_train: False
+      eval_test: True
+      pretrain: False
+      init_state:
+      freeze_model: False
+      freeze_predictors: False
+  dataset:
+    class: MTSDatasetH
+    module_path: qlib.contrib.data.dataset
+    kwargs:
+      handler:
+        class: Alpha158
+        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]
+      seq_len: 60
+      horizon: 2
+      input_size:
+      num_states: *num_states
+      batch_size: 1024
+      n_samples:
+      memory_mode: *memory_mode
+      drop_last: True
+  record:
+    - class: SignalRecord
+      module_path: qlib.workflow.record_temp
+      kwargs: {}
+    - 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

examples/benchmarks/TRA/workflow_config_tra_Alpha360.yaml

@@ -0,0 +1,119 @@
+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: CSRankNorm
+          kwargs:
+              fields_group: label
+    label: ["Ref($close, -2) / Ref($close, -1) - 1"]
+
+num_states: &num_states 3
+
+memory_mode: &memory_mode sample
+
+tra_config: &tra_config
+  num_states: *num_states
+  hidden_size: 16
+  tau: 1.0
+  src_info: LR_TPE
+
+model_config: &model_config
+  input_size: 6
+  hidden_size: 64
+  num_layers: 2
+  rnn_arch: LSTM
+  use_attn: True
+  dropout: 0.0
+
+port_analysis_config: &port_analysis_config
+    strategy:
+        class: TopkDropoutStrategy
+        module_path: qlib.contrib.strategy.strategy
+        kwargs:
+            topk: 50
+            n_drop: 5
+    backtest:
+        verbose: False
+        limit_threshold: 0.095
+        account: 100000000
+        benchmark: *benchmark
+        deal_price: close
+        open_cost: 0.0005
+        close_cost: 0.0015
+        min_cost: 5
+
+task:
+  model:
+    class: TRAModel
+    module_path: qlib.contrib.model.pytorch_tra
+    kwargs:
+      tra_config: *tra_config
+      model_config: *model_config
+      lr: 1e-3
+      n_epochs: 100
+      max_steps_per_epoch: 100
+      early_stop: 10
+      smooth_steps: 5
+      logdir: output/Alpha360/router
+      seed: 0
+      lamb: 1.0
+      rho: 1.0
+      transport_method: router
+      memory_mode: *memory_mode
+      eval_train: False
+      eval_test: True
+      pretrain: False
+      init_state:
+      freeze_model: False
+      freeze_predictors: False
+  dataset:
+    class: MTSDatasetH
+    module_path: qlib.contrib.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]
+      seq_len: 60
+      horizon: 2
+      input_size: 6
+      num_states: *num_states
+      batch_size: 1024
+      n_samples:
+      memory_mode: *memory_mode
+      drop_last: True
+  record:
+    - class: SignalRecord
+      module_path: qlib.workflow.record_temp
+      kwargs: {}
+    - 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