Files
NexQuant/rdagent/scenarios/qlib/experiment/factor_template/conf_baseline.yaml
T
TPTBusiness ae0693c5f4 fix: remove all Chinese stock references, replace with EURUSD 1min FX
- experiment/prompts.yaml: SH/SZ examples -> EURUSD, CSI300 -> EURUSD
- patches/qlib_experiment_prompts.yaml: complete EURUSD migration
- factor_experiment_loader/prompts.yaml: A-share -> EURUSD 1min intraday
- conf_*.yaml: benchmark SH000300 -> EURUSD, removed CSZFillNan/CSZScoreNorm
2026-03-28 11:26:37 +01:00

102 lines
3.3 KiB
YAML

qlib_init:
provider_uri: "~/.qlib/qlib_data/cn_data"
region: cn
market: &market csi300
benchmark: &benchmark EURUSD
data_handler_config: &data_handler_config
start_time: {{ train_start | default("2008-01-01", true) }}
end_time: {{ test_end | default("null", true) }}
instruments: *market
data_loader:
class: NestedDataLoader
kwargs:
dataloader_l:
- class: qlib.contrib.data.loader.Alpha158DL
kwargs:
config:
label:
- ["Ref($close, -2)/Ref($close, -1) - 1"]
- ["LABEL0"]
feature:
- {{ feature_expressions }}
- {{ feature_names }}
infer_processors:
- class: RobustZScoreNorm
kwargs:
fields_group: feature
clip_outlier: true
fit_start_time: {{ train_start | default("2008-01-01", true) }}
fit_end_time: {{ train_end | default("2014-12-31", true) }}
- class: Fillna
kwargs:
fields_group: feature
learn_processors:
- class: DropnaLabel
kwargs:
fields_group: label
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: {{ test_start | default("2017-01-01", true) }}
end_time: {{ test_end | default("null", true) }}
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: DataHandlerLP
module_path: qlib.contrib.data.handler
kwargs: *data_handler_config
segments:
train: [{{ train_start | default("2008-01-01", true) }}, {{ train_end | default("2014-12-31", true) }}]
valid: [{{ valid_start | default("2015-01-01", true) }}, {{ valid_end | default("2016-12-31", true) }}]
test: [{{ test_start | default("2017-01-01", true) }}, {{ test_end | default("null", true) }}]
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