fix: capital_flow_collector+per_stock_reassess归位
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#!/usr/bin/env python3
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"""capital_flow_collector.py — 个股资金流数据采集器
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每30分钟拉一次持仓+自选的超大单/大单/中单/小单资金流向。
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输出到 capital_flow_cache.json 供 price_monitor 和报告使用。
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API: push2his.eastmoney.com 个股资金流日线
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"""
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import json, os, sys, time
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from datetime import datetime
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from urllib.request import urlopen
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DATA_DIR = "/home/hmo/web-dashboard/data"
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DECISIONS_PATH = f"{DATA_DIR}/decisions.json"
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CACHE_PATH = f"{DATA_DIR}/capital_flow_cache.json"
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# eastmoney secid: 1=上海 0=深圳
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def secid(code):
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code = str(code).strip()
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if code.startswith(("6", "9")):
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return f"1.{code}"
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return f"0.{code}"
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def fetch_flow(code, days=5):
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"""拉取个股近N日资金流"""
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sid = secid(code)
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url = f"http://push2his.eastmoney.com/api/qt/stock/fflow/daykline/get?secid={sid}&fields1=f1,f2,f3,f7&fields2=f51,f52,f53,f54,f55,f56,f57&lmt={days}"
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try:
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resp = urlopen(url, timeout=5)
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data = json.loads(resp.read().decode("utf-8"))
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klines = data.get("data", {}).get("klines", [])
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if not klines:
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return None
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result = []
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for k in klines:
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p = k.split(",")
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if len(p) >= 7:
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result.append({
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"date": p[0],
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"main_net": float(p[1]), # 主力净流入(元)
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"super_large": float(p[2]), # 超大单净流入(元)
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"large": float(p[3]), # 大单净流入(元)
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"medium": float(p[4]), # 中单净流入(元)
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"small": float(p[5]), # 小单净流入(元)
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})
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return result
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except Exception as e:
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return None
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def fetch_flow_intraday(code):
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"""拉取当日分时资金流(用于盘中判断)"""
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sid = secid(code)
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url = f"http://push2.eastmoney.com/api/qt/stock/fflow/kline/get?secid={sid}&fields1=f1,f2,f3,f7&fields2=f51,f52,f53,f54,f55,f56,f57&klt=1&lmt=120"
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try:
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resp = urlopen(url, timeout=5)
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data = json.loads(resp.read().decode("utf-8"))
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klines = data.get("data", {}).get("klines", [])
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if not klines:
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return None
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latest = klines[-1].split(",")
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return {
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"main_net": float(latest[1]),
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"super_large": float(latest[2]),
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"large": float(latest[3]),
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}
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except:
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return None
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def analyze_flow(flow_data):
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"""分析资金流模式"""
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if not flow_data or len(flow_data) < 2:
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return {}
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result = {"alerts": [], "pattern": ""}
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# 最近两日对比
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d1 = flow_data[-1] # 最新日
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d2 = flow_data[-2] # 前一日
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# 超大单信号
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sl1 = d1["super_large"]
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sl2 = d2["super_large"]
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# 连续形态判断
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main_trend = sum(d["main_net"] for d in flow_data[-3:])
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sl_trend = sum(d["super_large"] for d in flow_data[-3:])
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# 1. 主力连续流入
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if main_trend > 50000000 and sl1 > 0 and sl2 > 0:
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result["pattern"] = "主力持续流入"
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result["alerts"].append("主力连续3日净流入")
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# 2. 超大单突然转向(连续流入→流出 或 流出→流入)
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if sl1 * sl2 < 0: # 方向反转
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if sl1 > 0 and sl2 < 0:
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result["pattern"] = "超大单由出转入"
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result["alerts"].append("超大单转为净买入(暗示消息即将落地)")
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elif sl1 < 0 and sl2 > 0:
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result["pattern"] = "超大单由入转出"
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result["alerts"].append("超大单转为净卖出(利好出货嫌疑)")
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# 3. 价格与资金流背离(缺当前价格作比较,在主脚本中完成)
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# 4. 单日暴量
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max_sl = max(abs(d["super_large"]) for d in flow_data)
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if max_sl == abs(sl1) and abs(sl1) > 100000000:
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result["pattern"] = "单日资金暴量"
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result["alerts"].append(f"今日超大单异常: {sl1/100000000:.2f}亿")
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return result
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def main():
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codes = set()
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# 读取持仓+自选
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try:
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dec = json.load(open(DECISIONS_PATH))
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for d in dec.get("decisions", []):
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c = d.get("code", "")
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if c:
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codes.add(c)
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except:
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pass
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all_flows = {}
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for code in sorted(codes):
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flow = fetch_flow(code, days=5)
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if flow:
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analysis = analyze_flow(flow)
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all_flows[code] = {
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"updated_at": datetime.now().strftime("%Y-%m-%d %H:%M"),
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"flow": flow,
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"analysis": analysis,
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}
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time.sleep(0.3) # API限流
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# 写缓存
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cache = {
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"updated_at": datetime.now().strftime("%Y-%m-%d %H:%M"),
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"stocks": all_flows,
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}
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json.dump(cache, open(CACHE_PATH, "w"), indent=2, ensure_ascii=False)
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print(f"[capital_flow] {len(all_flows)}只更新完成")
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if __name__ == "__main__":
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main()
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Symlink
+1
@@ -0,0 +1 @@
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../scripts/capital_flow_collector.py
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