update

ai_result/20251124170421.txt

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+你好！😊 很高兴见到你！
+
+看起来你在问候后面加了一些空格，不管怎样，我都很开心能和你聊天！我是DeepSeek，一个热心的AI助手，随时准备为你提供帮助。
+
+无论你想聊什么话题，需要解答问题，还是想要一些建议，我都会尽我所能地帮助你。今天有什么特别想了解或讨论的吗？✨

ai_result/20251124172559.txt

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+rank(((ts_rank(close,10)-ts_rank(close,50)))*rank(ts_rank(volume,5)))
+rank(ts_corr(ts_rank(close,20),ts_rank(volume,5),10))
+-1*rank((close-ts_mean(close,10))/ts_std_dev(close,10)*ts_mean(volume,30))
+rank(ts_delta(close,15)*rank(ts_corr((high+low)/2,volume,15)))
+-1*rank(ts_rank(close,5)-ts_rank(close,60))*rank(ts_std_dev(close,20)*ts_mean(volume,40))

ai_result/20251124174559.txt

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+ts_mean(group_rank(ts_mean(return_60(close), 20)), 5) / ts_std_dev(return_60(close), 20)
+group_rank(ts_rank(ts_mean(close/vwap, 60), 20)) - group_rank(ts_rank(close/vwap, 5))
+ts_delay(group_rank(ts_corr(ts_mean(close, 5), ts_mean(volume, 5), 10)), 5) * ts_mean(return_20(close), 5)
+group_rank(ts_mean(return_20(close), 10)) / group_rank(ts_std_dev(return_5(close), 20))
+group_rank(ts_mean(return_10(close), 5)) - group_mean(ts_mean(return_10(close), 5))

ai_result/20251124175745.txt

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+
+
+Here are the five industry factors using WebSim functions:
+
+```python
+group_mean(ts_return(close, 252), industry)  # Industry Momentum Factor
+group_mean((close / ts_mean(close, 252) - 1), industry)  # Valuation Repair Factor
+group_mean(ts_sum((close - ts_lag(close, 1)) * volume, 21), industry)  # Capital Flow Factor
+group_mean(ts_std(ts_return(close, 1), 21), industry)  # Volatility Adjustment Factor
+group_mean(ts_rank(close, 252), industry)  # Relative Strength Factor
+```
+
+These factors:
+1. Measure industry momentum using 12-month returns
+2. Evaluate valuation through 200-day mean reversion
+3. Track capital flow with 1-month price-volume accumulation
+4. Assess volatility risk with 21-day standard deviation
+5. Gauge cross-sectional strength via 12-month price ranking
+
+Each is calculated by averaging stock-level metrics within industry groups using `group_mean()` for industry-specific signals.

ai_result/20251124180630.txt

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+
+
+```python
+# 行业动量因子（相对强度）
+group_rank(ts_mean(close / close[3], 3), 'industry')
+
+# 行业估值修复因子（均值回归）
+group_rank(ts_mean(close, 3) / close, 'industry')
+
+# 行业资金流向因子（量价结合）
+group_rank(ts_sum(volume * (close - close[1]), 3), 'industry')
+
+# 行业波动率特征因子（风险调整）
+group_rank(1 / (ts_std(close / close[1], 3) + 1e-8), 'industry')
+
+# 行业间相对强度因子（横截面）
+group_rank(close / ts_max(close, 3), 'industry')
+```