modify scripts

src/static/akshare_daily_moni.py

@@ -0,0 +1,127 @@
+import akshare as ak
+import pandas as pd
+import datetime
+import time
+import logging
+
+# 配置日志
+logging.basicConfig(
+    filename='stock_signals.log',
+    level=logging.INFO,
+    format='%(asctime)s [%(levelname)s] %(message)s',
+)
+
+# 板块关键词
+TARGET_SECTORS = ['互联网服务', '芯片', '消费', '房地产']
+
+def fetch_sector_stocks(sector_name):
+    """
+    获取某个行业板块的股票列表
+    """
+    try:
+        df_plates = ak.stock_board_industry_name_em()
+        if not df_plates['板块名称'].isin([sector_name]).any():
+            logging.warning(f"{sector_name} not exists!")
+            return pd.DataFrame()
+
+        df = ak.stock_board_industry_cons_em(symbol=sector_name)
+        return df[['代码', '名称']]
+    except Exception as e:
+        logging.error(f"获取板块 {sector_name} 股票失败: {e}")
+        return pd.DataFrame()
+
+def compute_signals(df):
+    """
+    根据行情数据计算交易信号
+    """
+    signals = []
+    for _, row in df.iterrows():
+        try:
+            code = row['代码']
+            name = row['名称']
+            pct_today = row['当日涨跌幅']
+            pct_year = row['年内涨跌幅']
+            pe = row['市盈率']
+            pb = row['市净率']
+            
+            signal = ''
+            if pct_today < -5:
+                signal += '今日大跌; '
+            if pct_year < -20:
+                signal += '年内大跌; '
+            if pe < 50:
+                signal += '低市盈率; '
+            
+            if signal:
+                signals.append({
+                    '代码': code,
+                    '名称': name,
+                    '当日涨跌幅': pct_today,
+                    '年内涨跌幅': pct_year,
+                    '市盈率': pe,
+                    '市净率': pb,
+                    '信号': signal.strip()
+                })
+        except Exception as e:
+            logging.warning(f"处理股票 {row} 时出错: {e}")
+    return pd.DataFrame(signals)
+
+def fetch_and_analyze():
+    """
+    获取行情并计算信号
+    """
+    logging.info("开始获取并分析行情数据")
+    all_stocks = pd.DataFrame()
+    
+    for sector in TARGET_SECTORS:
+        df = fetch_sector_stocks(sector)
+        if df.empty:
+            continue
+        
+        logging.info(f"获取到板块 [{sector}] {len(df)} 只股票")
+        for code in df['代码']:
+            try:
+                # 获取日K线
+                kline = ak.stock_zh_a_hist(symbol=code, period='daily', adjust='qfq')
+                kline['日期'] = pd.to_datetime(kline['日期'])
+                kline.set_index('日期', inplace=True)
+                
+                today = kline.iloc[-1]
+                close_today = today['收盘']
+                close_5d = kline.iloc[-5]['收盘'] if len(kline) >= 5 else today['收盘']
+                close_month = kline.iloc[-21]['收盘'] if len(kline) >= 21 else today['收盘']
+                close_year = kline.iloc[0]['收盘']
+                
+                pct_today = (close_today / today['开盘'] - 1) * 100
+                pct_5d = (close_today / close_5d -1) * 100
+                pct_month = (close_today / close_month -1) * 100
+                pct_year = (close_today / close_year -1) *100
+                
+                # 获取市盈率、市净率
+                fundamentals = ak.stock_a_lg_indicator(symbol=code)
+                pe = fundamentals.iloc[-1]['市盈率(TTM)']
+                pb = fundamentals.iloc[-1]['市净率']
+                
+                all_stocks = pd.concat([all_stocks, pd.DataFrame([{
+                    '代码': code,
+                    '名称': df.loc[df['代码']==code, '名称'].values[0],
+                    '当日涨跌幅': pct_today,
+                    '5日涨跌幅': pct_5d,
+                    '本月涨跌幅': pct_month,
+                    '年内涨跌幅': pct_year,
+                    '市盈率': pe,
+                    '市净率': pb
+                }])])
+            except Exception as e:
+                logging.error(f"获取股票 {code} 数据失败: {e}")
+                continue
+    
+    signals = compute_signals(all_stocks)
+    if not signals.empty:
+        signals.to_csv(f'stock_signals_{datetime.date.today()}.csv', index=False, encoding='utf-8-sig')
+        logging.info(f"生成信号 {len(signals)} 条，已写入 CSV。")
+    else:
+        logging.info("未发现符合条件的交易信号")
+
+if __name__ == "__main__":
+    fetch_and_analyze()