feat(factors): 新增筹码集中度相关因子并优化训练框架

- 添加 19 个筹码分布和胜率相关因子(包括chip_dispersion、winner_rate等系列)
- LightGBM模型添加早停和训练指标记录功能
- 统一Label配置到common.py模块
- 新增list_factors.py因子列表脚本

src/experiment/common.py

@@ -250,67 +250,58 @@ SELECTED_FACTORS = [
     "GTJA_alpha188",
     "GTJA_alpha189",
     "GTJA_alpha191",
+    "chip_dispersion_90",
+    "chip_dispersion_70",
+    "cost_skewness",
+    "dispersion_change_20",
+    "price_to_avg_cost",
+    "price_to_median_cost",
+    "mean_median_dev",
+    "trap_pressure",
+    "bottom_profit",
+    "history_position",
+    "winner_rate_surge_5",
+    "winner_rate_cs_rank",
+    "winner_rate_dev_20",
+    "winner_rate_volatility",
+    "smart_money_accumulation",
+    "winner_vol_corr_20",
+    "cost_base_momentum",
+    "bottom_cost_stability",
+    "pivot_reversion",
+    "chip_transition",
 ]
 
 # 因子定义字典（完整因子库，用于存放尚未注册到metadata的因子）
 FACTOR_DEFINITIONS = {"cs_rank_circ_mv": "cs_rank(circ_mv)"}
 
-# 需要排除的因子列表（这些因子不会被计算和使用）
-# 用于临时屏蔽效果不好的因子，无需从 SELECTED_FACTORS 中删除
-# EXCLUDED_FACTORS: List[str] = [
-#     # "GTJA_alpha005",
-#     # "GTJA_alpha028",
-#     # "GTJA_alpha023",
-#     # "GTJA_alpha002",
-#     # "GTJA_alpha010",
-#     # "GTJA_alpha011",
-#     # "GTJA_alpha044",
-#     # "GTJA_alpha036",
-#     # "GTJA_alpha027",
-#     # "GTJA_alpha109",
-#     # "GTJA_alpha104",
-#     # "GTJA_alpha103",
-#     # "GTJA_alpha085",
-#     # "GTJA_alpha111",
-#     # "GTJA_alpha092",
-#     # "GTJA_alpha067",
-#     # "GTJA_alpha060",
-#     # "GTJA_alpha062",
-#     # "GTJA_alpha063",
-#     # "GTJA_alpha079",
-#     # "GTJA_alpha073",
-#     # "GTJA_alpha087",
-#     # "GTJA_alpha117",
-#     # "GTJA_alpha113",
-#     # "GTJA_alpha138",
-#     # "GTJA_alpha121",
-#     # "GTJA_alpha124",
-#     # "GTJA_alpha133",
-#     # "GTJA_alpha131",
-#     # "GTJA_alpha118",
-#     # "GTJA_alpha164",
-#     # "GTJA_alpha162",
-#     # "GTJA_alpha157",
-#     # "GTJA_alpha171",
-#     # "GTJA_alpha177",
-#     # "GTJA_alpha180",
-#     # "GTJA_alpha188",
-#     # "GTJA_alpha191",
-# ]
+
+# =============================================================================
+# Label 配置（统一绑定 label_name 和 label_dsl）
+# =============================================================================
+# Label 名称
+LABEL_NAME = "future_return_5"
+
+# Label DSL 公式
+LABEL_DSL = "(ts_delay(close, -5) / ts_delay(open, -1)) - 1"
+
+# Label 配置字典（绑定 name 和 dsl）
+LABEL_FACTOR = {LABEL_NAME: LABEL_DSL}
 
 
 def get_label_factor(label_name: str) -> dict:
     """获取Label因子定义字典。
 
+    警告: 此函数已废弃，请直接使用 LABEL_FACTOR 常量。
+    label_name 参数将被忽略，始终返回预定义的 LABEL_FACTOR。
+
     Args:
-        label_name: label因子名称
+        label_name: label因子名称（已废弃，仅保留参数保持向后兼容）
 
     Returns:
         Label因子定义字典
     """
-    return {
-        label_name: "(ts_delay(close, -5) / ts_delay(open, -1)) - 1",
-    }
+    return LABEL_FACTOR
 
 
 # =============================================================================