知微
66962ae190
修复清单： - cron delivery修正：10个job从deliver=origin/all改为local，消除推送错误 - refresh_mtf_cache.py：替换strategy_lifecycle.PORTFOLIO_PATH导入为mofin_db直接读DB - clean_watchlist.py：修复mo_data导入名错误和JSON硬编码路径 - MoFin/scripts/与profile scripts互相补全，双向sync到一致 - price_monitor.py：现金源从portfolio_summary表改为cash_log（Dad确认的现金权威） - 更新watchlist.json加入000850华茂股份
276 lines
9.0 KiB
Python
Executable File
276 lines
9.0 KiB
Python
Executable File
#!/usr/bin/env python3
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"""注入持仓价格数据 + 多周期技术面 + 综合分类 + 大盘指数到 LLM 上下文。
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每个tick自动执行，输出直接注入prompt上下文。"""
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import json
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import sys
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import os
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PORTFOLIO_PATH = "/home/hmo/web-dashboard/data/portfolio.json"
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WATCHLIST_PATH = "/home/hmo/web-dashboard/data/watchlist.json"
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MTF_CACHE_PATH = "/home/hmo/web-dashboard/data/multi_tf_cache.json"
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def calc_ma(prices, window):
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if len(prices) < window:
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return None
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return round(sum(prices[-window:]) / window, 2)
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def fmt_holding(h):
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name = h.get("name", "?")
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code = h.get("code", "?")
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p = h.get("price", 0)
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chg = h.get("change_pct")
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chg_str = f"{chg:+.2f}%" if chg is not None else "N/A"
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pos = h.get("position_pct", 0)
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cost = h.get("cost")
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if cost and cost > 0:
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pnl = (p - cost) / cost * 100
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pnl_str = f"{pnl:+.1f}%"
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else:
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pnl_str = "N/A"
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analysis = h.get("analysis", {}) or {}
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sl = analysis.get("stop_loss", "N/A")
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tp = analysis.get("take_profit", "N/A")
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return f" {name:<8}({code:<6}) 现价{p:<8} {chg_str:<8} 仓位{pos:<5.1f}% 盈亏{pnl_str:<8} 止损{sl} 止盈{tp}"
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def fmt_mtf(code, mtf_cache):
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stock = mtf_cache.get(code, {})
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daily = stock.get("daily", [])
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if len(daily) < 5:
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return ""
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closes = [d["close"] for d in daily]
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ma5 = calc_ma(closes, 5)
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ma10 = calc_ma(closes, 10) if len(closes) >= 10 else None
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ma20 = calc_ma(closes, 20) if len(closes) >= 20 else None
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ma60 = calc_ma(closes, 60) if len(closes) >= 60 else None
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current = closes[-1]
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up_count = sum(1 for i in range(1, len(closes[-20:])) if closes[-20:][i] > closes[-20:][i-1])
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up_ratio = up_count / min(len(closes), 20) if len(closes) >= 2 else 0.5
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trend = "横盘"
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if up_ratio > 0.6 and ma20 and current > ma20:
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trend = "上升"
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elif up_ratio < 0.4 and ma20 and current < ma20:
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trend = "下降"
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ma_trend = ""
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if ma5 and ma10 and ma20:
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if ma5 > ma10 > ma20:
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ma_trend = "多头"
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elif ma5 < ma10 < ma20:
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ma_trend = "空头"
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above_ma20 = "↑" if ma20 and current > ma20 else ("↓" if ma20 and current < ma20 else "—")
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above_ma60 = "↑" if ma60 and current > ma60 else ("↓" if ma60 and current < ma60 else "—")
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parts = [f"趋势:{trend}"]
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if ma_trend:
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parts.append(ma_trend)
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if ma5:
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parts.append(f"MA5={ma5}")
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if ma20:
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parts.append(f"MA20={ma20}{above_ma20}")
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if ma60:
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parts.append(f"MA60={ma60}{above_ma60}")
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recent_high = max(d["high"] for d in daily[-20:]) if len(daily) >= 20 else max(d["high"] for d in daily)
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recent_low = min(d["low"] for d in daily[-20:]) if len(daily) >= 20 else min(d["low"] for d in daily)
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parts.append(f"近20日:{recent_low}~{recent_high}")
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return " | ".join(parts)
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def fmt_index_line(code, name, mtf_cache):
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entry = mtf_cache.get(code)
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if not entry or not isinstance(entry, dict):
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return ""
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daily = entry.get("daily", [])
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if len(daily) < 5:
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return ""
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closes = [d["close"] for d in daily]
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current = closes[-1]
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ma20 = calc_ma(closes, 20) or 0
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ma60 = calc_ma(closes, 60) or 0
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ma20_sig = "↑" if current > ma20 else "↓"
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ma60_sig = "↑" if current > ma60 else "↓"
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up_count = sum(1 for i in range(1, min(21, len(closes))) if closes[-i] > closes[-i-1])
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trend = "上升" if up_count > 12 else ("下降" if up_count < 8 else "横盘")
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return f"{name}{current:.0f} {trend} MA20{ma20_sig} MA60{ma60_sig}"
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def classify_from_cache(code, name, mtf_cache):
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stock = mtf_cache.get(code, {})
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daily = stock.get("daily", [])
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fund = stock.get("fundamentals", {})
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if not daily or len(daily) < 5:
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return ""
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closes = [d["close"] for d in daily]
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current = closes[-1]
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ma20 = calc_ma(closes, 20) or 0
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ma60 = calc_ma(closes, 60) or 0
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recent_high = max(d["high"] for d in daily[-20:])
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recent_low = min(d["low"] for d in daily[-20:])
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volatility = ((recent_high - recent_low) / recent_low * 100) if recent_low > 0 else 0
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pe = fund.get("pe") or 0
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eps = fund.get("eps") or 0
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mcap = fund.get("mcap_total") or 0
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is_high_vol = volatility > 30
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is_high_pe = pe > 100 or pe < 0
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is_value = 0 < pe < 20 and eps > 0.5
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category = "中短线"
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time_horizon = "2周~3月"
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suggestion = "中等仓位"
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if is_high_vol and is_high_pe:
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category = "短炒"
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time_horizon = "数日~2周"
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suggestion = "小仓快进快出"
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elif current < ma20 and current < ma60:
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category = "弱势"
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time_horizon = "观望"
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suggestion = "减仓或观望"
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elif is_value and current > ma20:
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category = "中长线"
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time_horizon = "数月~1年"
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suggestion = "正常配置"
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elif mcap > 1000 and eps > 0:
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category = "中长线"
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time_horizon = "数月~1年"
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suggestion = "正常配置"
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elif is_high_vol:
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category = "中短线"
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time_horizon = "2~6周"
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suggestion = "中等仓位"
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ma20_sig = "↑" if current > ma20 else "↓"
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ma60_sig = "↑" if current > ma60 else "↓"
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parts = [f"分类:{category}", f"周期:{time_horizon}", f"MA20{ma20_sig} MA60{ma60_sig}"]
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if pe and pe > 0:
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parts.append(f"PE={pe:.0f}")
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if eps and eps > 0:
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parts.append(f"EPS={eps:.2f}")
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parts.append(f"建议:{suggestion}")
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return " | ".join(parts)
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def main():
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try:
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pf = json.load(open(PORTFOLIO_PATH))
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except Exception as e:
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print(f"[ERROR] {e}")
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sys.exit(0)
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mtf_cache = load_mtf_cache()
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holdings = pf.get("holdings", [])
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updated_at = pf.get("updated_at", "unknown")
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# ===== 大盘指数趋势 =====
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index_map = {
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"__index__sh000001": "上证", "__index__sz399001": "深证",
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"__index__sz399006": "创业板", "__index__sh000688": "科创50",
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"__index__hkHSI": "恒指", "__index__hkHSTECH": "恒科",
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}
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parts = []
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for ic, nm in index_map.items():
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line = fmt_index_line(ic, nm, mtf_cache)
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if line:
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parts.append(line)
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if parts:
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print("[大盘] " + " | ".join(parts))
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print()
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# ===== 市场总览 =====
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print(f"[持仓] 更新 {updated_at}")
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print(f"总资产:{pf.get('total_assets',0):.0f} | 市值:{pf.get('stock_value',0):.0f} | 现金:{pf.get('cash',0):.0f} | 仓位:{pf.get('position_pct',0):.1f}% | 日盈亏:{pf.get('day_pnl',0):+.0f}")
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print()
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a_h = [h for h in holdings if h.get("code","").startswith(("6","0","3")) and len(h.get("code",""))==6]
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hk_h = [h for h in holdings if h not in a_h]
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a_h.sort(key=lambda h: h.get("position_pct",0), reverse=True)
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hk_h.sort(key=lambda h: h.get("position_pct",0), reverse=True)
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print("=== A股持仓 ===")
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for h in a_h:
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print(fmt_holding(h))
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print()
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print("=== 港股持仓 ===")
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for h in hk_h:
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print(fmt_holding(h))
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# ===== 多周期技术面 =====
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print()
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print("=== 多周期技术面 ===")
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for h in a_h + hk_h:
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line = fmt_mtf(h["code"], mtf_cache)
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if line:
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print(f" {h['name']:<8}({h['code']:<6}) {line}")
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# ===== 综合分类 =====
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print()
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print("=== 综合分类 ===")
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for h in a_h + hk_h:
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line = classify_from_cache(h["code"], h["name"], mtf_cache)
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if line:
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print(f" {h['name']:<8}({h['code']:<6}) {line}")
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# ===== 自选股买入区监控 =====
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try:
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wl = json.load(open(WATCHLIST_PATH))
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wl_stocks = wl.get("stocks", [])
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# 过滤掉已经在持仓里的
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held_codes = {h["code"] for h in holdings}
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watch_only = [s for s in wl_stocks if s.get("code") not in held_codes]
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# 只列出有买入区的
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with_zone = [s for s in watch_only
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if s.get("analysis", {}).get("entry_low")]
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if with_zone:
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print()
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print("=== 自选买入区 ===")
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for s in with_zone:
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print(fmt_watchlist_item(s))
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except Exception:
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pass
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print()
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print("--- end data inject ---")
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def fmt_watchlist_item(s):
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"""格式化自选股条目"""
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name = s.get("name", "?")
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code = s.get("code", "?")
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price = s.get("price", 0)
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analysis = s.get("analysis", {}) or {}
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el = analysis.get("entry_low")
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eh = analysis.get("entry_high")
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sl = analysis.get("stop_loss")
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tp = analysis.get("take_profit")
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action = analysis.get("action", "")[:60]
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in_zone = ""
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if el and eh and price:
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if el <= price <= eh:
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in_zone = "✅在买入区"
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elif price < el:
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off = (el - price) / el * 100
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in_zone = f"⬇低于买入区{off:.0f}%"
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else:
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off = (price - eh) / eh * 100
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in_zone = f"⬆高于买入区+{off:.0f}%"
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return f" {name:<8}({code:<6}) ¥{price:<8} | {in_zone} | 买{el}~{eh} | 损{sl} 盈{tp} | {action}"
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def load_mtf_cache():
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try:
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return json.load(open(MTF_CACHE_PATH))
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except Exception:
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return {}
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if __name__ == "__main__":
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main()
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