feat(data): 添加每日筹码及胜率数据接口 (cyq_perf)

- 新增 api_cyq_perf 模块，支持筹码分布数据获取和同步
- 在 sync_registry 中注册 cyq_perf 同步器

src/experiment/learn_to_rank.py

@@ -6,13 +6,6 @@
 # ## 1. 导入依赖
 # %%
 import os
-from datetime import datetime
-from typing import List, Tuple, Optional
-
-import numpy as np
-import polars as pl
-import pandas as pd
-import matplotlib.pyplot as plt
 
 from src.factors import FactorEngine
 from src.training import (
@@ -23,7 +16,7 @@ from src.training import (
     Winsorizer,
     CrossSectionalStandardScaler,
 )
-from src.training.trainer_v2 import Trainer
+from src.training.core.trainer_v2 import Trainer
 from src.training.components.filters import STFilter
 from src.experiment.common import (
     SELECTED_FACTORS,

src/experiment/regression.py

@@ -6,9 +6,6 @@
 # ## 1. 导入依赖
 # %%
 import os
-from datetime import datetime
-
-import polars as pl
 
 from src.factors import FactorEngine
 from src.training import (
@@ -19,7 +16,7 @@ from src.training import (
     Winsorizer,
     StandardScaler,
 )
-from src.training.trainer_v2 import Trainer
+from src.training.core.trainer_v2 import Trainer
 from src.training.components.filters import STFilter
 from src.experiment.common import (
     SELECTED_FACTORS,