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workflow_config_lightgbm_multi_freq.yaml
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workflow_config_lightgbm_multi_freq.yaml
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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: <PRED>
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: <MODEL>
dataset: <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