exp 17: add short 3-month lake workflow yaml

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zhaoli
2026-08-16 14:55:33 +00:00
parent b84edbd2d7
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# -----------------------------------------------------------------------------
# exp17 — short 3-month lake workflow (trace id 17)
# train 2026-05-01..06-30 / valid 07-01..07-15 / test 07-16..08-14
# 20-ETF universe, 5d forward label, LGBModel mse, TopkDropout topk=3/n_drop=1
# -----------------------------------------------------------------------------
{%- 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-rd-short-lake" }
task:
model:
class: LGBModel
module_path: qlib.contrib.model.gbdt
kwargs:
loss: mse
learning_rate: 0.05
num_leaves: 15
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: SPY,QQQ,IWM,EEM,TLT,GLD,USO,SMH,XLF,XLE,XLY,XLK,XLV,XBI,IBB,KWEB,FXI,EWJ,VNQ,GDX
start_time: 2026-05-01
end_time: 2026-08-14
fit_start_time: 2026-05-01
fit_end_time: 2026-06-30
freq: day
lake_root: "{{ LAKE }}"
market: US
label: "Ref($close,-6)/Ref($close,-1)-1"
segments:
train: [2026-05-01, 2026-06-30]
valid: [2026-07-01, 2026-07-15]
test: [2026-07-16, 2026-08-14]
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: "<PRED>"
topk: 3
n_drop: 1
only_tradable: true
risk_degree: 0.95
backtest:
start_time: 2026-07-16
end_time: 2026-08-14
account: 1000000
benchmark: SPY
exchange_kwargs:
codes: SPY,QQQ,IWM,EEM,TLT,GLD,USO,SMH,XLF,XLE,XLY,XLK,XLV,XBI,IBB,KWEB,FXI,EWJ,VNQ,GDX
deal_price: $close
freq: day
open_cost: 0.0005
close_cost: 0.0015
min_cost: 5.0
risk_analysis_freq: 1d