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qlib/examples/rl_order_execution/exp_configs/backtest_ppo.yml
Huoran Li 653c082e7a Order execution open source (#1447)
* Waiting for bin data

* Complete readme

* CI

* Add inst filter by time

* Update qlib/data/dataset/processor.py

* typo

* Fix time filter bug

* Add Filter and set Universe

* Complete data pipeline

* Fix Provider Logger Info Args

* Add DQN; a minor bugfix in ppo reward.

* update readme. modify assertion logic in strategy check.

* Fix Doc issues and fix black

* Fix pylint Error

---------

Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
2023-03-13 12:06:28 +08:00

60 lines
1.9 KiB
YAML
Executable File

order_file: ./data/orders/test_orders.pkl
start_time: "9:30"
end_time: "14:54"
qlib:
provider_uri_5min: ./data/bin/
feature_root_dir: ./data/pickle/
feature_columns_today: [
"$open", "$high", "$low", "$close", "$vwap", "$bid", "$ask", "$volume",
"$bidV", "$bidV1", "$bidV3", "$bidV5", "$askV", "$askV1", "$askV3", "$askV5"
]
feature_columns_yesterday: [
"$open_1", "$high_1", "$low_1", "$close_1", "$vwap_1", "$bid_1", "$ask_1", "$volume_1",
"$bidV_1", "$bidV1_1", "$bidV3_1", "$bidV5_1", "$askV_1", "$askV1_1", "$askV3_1", "$askV5_1"
]
exchange:
limit_threshold: null
deal_price: ["$close", "$close"]
volume_threshold: null
strategies:
1day:
class: SAOEIntStrategy
kwargs:
data_granularity: 5
action_interpreter:
class: CategoricalActionInterpreter
kwargs:
max_step: 8
values: 4
module_path: qlib.rl.order_execution.interpreter
network:
class: Recurrent
kwargs: {}
module_path: qlib.rl.order_execution.network
policy:
class: PPO # PPO, DQN
kwargs:
lr: 0.0001
# Restore `weight_file` once the training workflow finishes. You can change the checkpoint file you want to use.
# weight_file: outputs/ppo/checkpoints/latest.pth
module_path: qlib.rl.order_execution.policy
state_interpreter:
class: FullHistoryStateInterpreter
kwargs:
data_dim: 5
data_ticks: 48
max_step: 8
processed_data_provider:
class: PickleProcessedDataProvider
kwargs:
data_dir: ./data/pickle_dataframe/feature
module_path: qlib.rl.data.pickle_styled
module_path: qlib.rl.order_execution.interpreter
module_path: qlib.rl.order_execution.strategy
30min:
class: TWAPStrategy
kwargs: {}
module_path: qlib.contrib.strategy.rule_strategy
concurrency: 16
output_dir: outputs/ppo/