#!/usr/bin/env python3 import json import sys # 读取实时数据 with open('data/temp_realtime.json', 'r') as f: data = json.load(f) prices = data['prices'] holdings = data['holdings'] print("=== 关键价位检查 ===") # 检查每个持仓的关键价位 for holding in holdings: code = holding['code'] name = holding['name'] current_price = holding['price'] analysis = holding.get('analysis', {}) stop_loss = analysis.get('stop_loss') take_profit = analysis.get('take_profit') if stop_loss and stop_loss != '': try: stop_loss_val = float(stop_loss) distance_pct = (current_price - stop_loss_val) / stop_loss_val * 100 if distance_pct < 5: # 距离止损不到5% print(f"⚠️ {name}({code}) 现价{current_price} 距止损{stop_loss_val}仅{abs(distance_pct):.1f}%") except: pass if take_profit and take_profit != '': try: take_profit_val = float(take_profit) distance_pct = (take_profit_val - current_price) / current_price * 100 if distance_pct < 5: # 距离止盈不到5% print(f"🎯 {name}({code}) 现价{current_price} 距止盈{take_profit_val}仅{abs(distance_pct):.1f}%") except: pass # 检查涨跌幅超过5%的股票 print("\n=== 异动股票检查(涨跌幅>5%) ===") for code, price_data in prices.items(): change_pct = price_data['change_pct'] if abs(change_pct) >= 5: name = price_data['name'] price = price_data['price'] print(f"{'📈' if change_pct > 0 else '📉'} {name}({code}) 现价{price} {change_pct:+.2f}%") # 检查决策库中的操作区间 print("\n=== 决策库操作区间检查 ===") # 这里需要读取决策库,但数据太大,我们只检查几个关键股票 key_stocks = ['06160', '600110', '688411', '01478'] for code in key_stocks: if code in prices: price_data = prices[code] name = price_data['name'] price = price_data['price'] # 根据历史回顾判断 if code == '06160': print(f"🔵 {name}({code}) 现价{price} → 两批试仓已完成,止损160安全,目标175/185") elif code == '600110': print(f"🔵 {name}({code}) 现价{price} → 6月4日已按11.5~11.8加仓,现价仍在区间内") elif code == '688411': print(f"⚠️ {name}({code}) 现价{price} → 大涨10.87%,追踪止盈290接近,注意风险") elif code == '01478': print(f"⚠️ {name}({code}) 现价{price} → 反弹7.44%,深套股反弹至13~14可减仓")