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fix: 修复涨跌幅获取

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This commit is contained in:
Cassianvale
2025-03-10 15:13:57 +08:00
parent 992f4e2c68
commit 43b1fdd00b
4 changed files with 25 additions and 27 deletions
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26
services/stock_analyzer_service.py
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@@ -95,8 +95,15 @@ class StockAnalyzerService:
latest_data = df_with_indicators.iloc[-1]
previous_data = df_with_indicators.iloc[-2] if len(df_with_indicators) > 1 else latest_data
# 计算价格变化百分比
price_change = ((latest_data['Close'] - previous_data['Close']) / previous_data['Close']) * 100
# 价格变动绝对值
price_change_value = latest_data['Close'] - previous_data['Close']
# 优先使用原始数据中的涨跌幅(Change_pct)
change_percent = latest_data.get('Change_pct')
# 如果原始数据中没有涨跌幅，才进行计算
if change_percent is None and previous_data['Close'] != 0:
change_percent = (price_change_value / previous_data['Close']) * 100
# 确定MA趋势
ma_short = latest_data.get('MA5', 0)
@@ -142,7 +149,9 @@ class StockAnalyzerService:
"analysis_date": analysis_date,
"score": score,
"price": latest_data['Close'],
"price_change": price_change,
"price_change_value": price_change_value, # 价格变动绝对值
"price_change": change_percent, # 兼容旧版前端，传递涨跌幅
"change_percent": change_percent, # 涨跌幅百分比，新字段
"ma_trend": ma_trend,
"rsi": latest_data.get('RSI', 0),
"macd_signal": macd_signal,
@@ -220,6 +229,13 @@ class StockAnalyzerService:
if df is not None and len(df) > 0:
# 获取最新数据
latest_data = df.iloc[-1]
previous_data = df.iloc[-2] if len(df) > 1 else latest_data
# 价格变动绝对值
price_change_value = latest_data['Close'] - previous_data['Close']
# 获取涨跌幅
change_percent = latest_data.get('Change_pct')
# 发送股票基本信息和评分
yield json.dumps({
@@ -227,7 +243,9 @@ class StockAnalyzerService:
"score": score,
"recommendation": rec,
"price": float(latest_data.get('Close', 0)),
"price_change": float(latest_data.get('Change', 0)),
"price_change_value": float(price_change_value), # 价格变动绝对值
"price_change": change_percent, # 兼容旧版前端，传递涨跌幅
"change_percent": change_percent, # 涨跌幅百分比，新字段
"rsi": float(latest_data.get('RSI', 0)) if 'RSI' in latest_data else None,
"ma_trend": "UP" if latest_data.get('MA5', 0) > latest_data.get('MA20', 0) else "DOWN",
"macd_signal": "BUY" if latest_data.get('MACD', 0) > latest_data.get('MACD_Signal', 0) else "SELL",