344 lines
12 KiB
Python
344 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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小唯模拟交易账户 — 纸上盈亏追踪
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=================================
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MA20金叉/死叉自动记录，跟踪模拟账户表现
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功能:
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- 买入/卖出时自动记录
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- 计算纸上盈亏/胜率/最大回撤
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- 每日估值
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- 历史成交记录
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用法:
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python3 stock_paper.py status # 查看当前账户状态
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python3 stock_paper.py buy <价格> # 模拟买入（MA20金叉触发）
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python3 stock_paper.py sell <价格> # 模拟卖出（MA20死叉触发）
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python3 stock_paper.py report # 生成模拟账户报告
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"""
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import json, sys, urllib.request
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from datetime import datetime
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from pathlib import Path
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OUTPUT = Path.home() / ".hermes" / "stock_backtest"
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OUTPUT.mkdir(exist_ok=True)
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ACCOUNT_FILE = OUTPUT / "paper_trades_000858.json"
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FEISHU_WEBHOOK = "https://open.feishu.cn/open-apis/bot/v2/hook/446db983-e392-4d2c-bfb8-f9060e5df3ad"
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def load_account():
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if ACCOUNT_FILE.exists():
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with open(ACCOUNT_FILE) as f:
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d = json.load(f)
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# 确保字段完整(兼容旧格式)
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d.setdefault("current_capital", d.get("current_capital", 100000))
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d.setdefault("positions", d.get("positions", []))
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d.setdefault("closed_trades", d.get("closed_trades", []))
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d.setdefault("last_signal", "空仓")
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d.setdefault("last_signal_date", "")
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d.setdefault("stats", d.get("stats", {"total_trades": 0, "winning_trades": 0, "losing_trades": 0}))
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return d
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return {
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"strategy": "MA20突破",
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"stock": "五粮液(000858)",
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"start_date": "2026-07-12",
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"initial_capital": 100000,
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"current_capital": 100000,
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"positions": [], # [{"shares": N, "avg_cost": P}]
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"closed_trades": [], # [{"date": "", "buy_price": P, "sell_price": P, "shares": N, "pnl": P}]
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"last_signal": "空仓",
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"last_signal_date": "",
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"stats": {"total_trades": 0, "winning_trades": 0, "losing_trades": 0}
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}
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def save_account(acct):
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with open(ACCOUNT_FILE, "w") as f:
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json.dump(acct, f, ensure_ascii=False, indent=2)
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def send_feishu(msg):
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payload = json.dumps({"msg_type": "text", "content": {"text": msg}}).encode()
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req = urllib.request.Request(FEISHU_WEBHOOK, data=payload,
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headers={"Content-Type": "application/json"})
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try:
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with urllib.request.urlopen(req, timeout=10):
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pass
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except Exception:
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pass
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def get_current_price(code="000858"):
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mc = f"sz{code}" if not code.startswith("sh") else code
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try:
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url = f"https://qt.gtimg.cn/q={mc}"
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text = urllib.request.urlopen(url, timeout=3).read().decode("gbk")
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parts = text.split("~")
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if len(parts) > 10:
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return float(parts[3]), float(parts[4]) # 当前价, 昨收
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except Exception:
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pass
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return None, None
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def cmd_buy(price, shares=None):
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"""模拟买入"""
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acct = load_account()
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price = float(price)
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shares = shares or int(acct["current_capital"] // price)
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cost = shares * price
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if cost > acct["current_capital"]:
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shares = int(acct["current_capital"] // price)
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cost = shares * price
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if shares <= 0:
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print("资金不足，无法买入")
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return
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today = datetime.now().strftime("%Y-%m-%d")
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acct["positions"].append({"shares": shares, "avg_cost": price})
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acct["current_capital"] -= cost
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acct["last_signal"] = "买入"
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acct["last_signal_date"] = today
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save_account(acct)
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msg = f"""🟢 模拟买入 — 五粮液(000858)
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日期: {today}
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价格: {price:.2f}
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数量: {shares}股
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金额: {cost:.2f}
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剩余现金: {acct['current_capital']:.2f}
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MA20金叉触发，已记录纸上持仓。
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当前持仓: {shares}股 (成本{price:.2f})
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小唯股票投研 · 模拟账户"""
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send_feishu(msg)
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print(msg)
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def execute_signal(sig, dry_run=False):
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"""
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信号自动执行：把技术信号真正落地为模拟交易（防重复）
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规则:
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- BUY: 无持仓才买（避免重复买入）
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- SELL: 有持仓才卖（避免空卖）
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- HOLD_LONG / HOLD_SHORT: 不动
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- 弱势行业 BUY 硬拦截（2026-08-01 行业动量过滤升级）
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返回: (action, detail)
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"""
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if not sig:
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return ("SKIP", "无信号")
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acct = load_account()
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has_position = bool(acct["positions"])
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signal = sig.get("signal")
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# v2：弱势行业金叉半仓买入（2026-08-01 回测优化：全拦截损失 α，半仓最优）
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weak_industries = {"白酒", "医药", "通信", "汽车", "地产"}
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is_weak = signal == "BUY" and sig.get("industry") in weak_industries
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if signal == "BUY" and not has_position:
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price = sig.get("close") or sig.get("price")
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if dry_run:
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mode = "半仓(弱势行业)" if is_weak else "全仓"
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print(f"[DRY-RUN] 金叉{mode}买入 @ {price:.2f}")
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return ("BUY", f"{mode}金叉买入@{price:.2f}")
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if is_weak:
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# 半仓：只用一半资金
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shares = int((acct["current_capital"] * 0.5) // price)
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if shares <= 0:
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return ("SKIP", "资金不足")
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cost = shares * price
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acct["positions"].append({"shares": shares, "avg_cost": price})
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acct["current_capital"] -= cost
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acct["last_signal"] = "半仓买入"
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acct["last_signal_date"] = datetime.now().strftime("%Y-%m-%d")
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save_account(acct)
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msg = (f"⚠️ 模拟半仓买入 — 弱势行业金叉\n\n"
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f"日期: {datetime.now().strftime('%Y-%m-%d')}\n"
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f"价格: {price:.2f}\n数量: {shares}股\n金额: {cost:.2f}\n"
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f"剩余现金: {acct['current_capital']:.2f}\n\n"
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f"弱势行业(白酒动量负)金叉，按半仓规则买入。")
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send_feishu(msg)
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print(msg)
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return ("BUY_HALF", f"弱势行业半仓买入@{price:.2f}")
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cmd_buy(price)
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return ("BUY", f"金叉买入@{price:.2f}")
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elif signal == "SELL" and has_position:
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price = sig.get("close") or sig.get("price")
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if dry_run:
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print(f"[DRY-RUN] 死叉卖出 @ {price:.2f}")
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return ("SELL", f"死叉卖出@{price:.2f}")
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cmd_sell(price)
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return ("SELL", f"死叉卖出@{price:.2f}")
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elif signal == "BUY" and has_position:
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return ("HOLD", "已持仓，忽略重复买入")
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elif signal == "SELL" and not has_position:
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return ("HOLD", "已空仓，忽略重复卖出")
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elif signal == "HOLD_LONG":
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if has_position:
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return ("HOLD", "持仓中，继续持有")
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return ("HOLD", "信号建议持仓，但账户空仓（非金叉不自动买入）")
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else:
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return ("HOLD", "空仓观望")
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def cmd_sell(price):
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"""模拟卖出"""
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acct = load_account()
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price = float(price)
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today = datetime.now().strftime("%Y-%m-%d")
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if not acct["positions"]:
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print("没有持仓，无法卖出")
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return
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total_shares = sum(p["shares"] for p in acct["positions"])
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total_cost = sum(p["shares"] * p["avg_cost"] for p in acct["positions"])
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avg_cost = total_cost / total_shares
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pnl = (price - avg_cost) * total_shares
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pnl_pct = (price - avg_cost) / avg_cost * 100
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acct["closed_trades"].append({
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"date": today,
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"buy_price": avg_cost,
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"sell_price": price,
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"shares": total_shares,
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"pnl": pnl,
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"pnl_pct": pnl_pct
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})
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acct["current_capital"] += total_shares * price
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acct["positions"] = []
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acct["last_signal"] = "卖出"
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acct["last_signal_date"] = today
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stats = acct["stats"]
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stats["total_trades"] += 1
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if pnl > 0:
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stats["winning_trades"] += 1
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else:
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stats["losing_trades"] += 1
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save_account(acct)
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msg = f"""🔴 模拟卖出 — 五粮液(000858)
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日期: {today}
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卖出价格: {price:.2f}
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数量: {total_shares}股
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买入均价: {avg_cost:.2f}
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盈亏: {pnl:+.2f} ({pnl_pct:+.1f}%)
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MA20死叉触发，已平仓。
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现金: {acct['current_capital']:.2f}
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小唯股票投研 · 模拟账户"""
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send_feishu(msg)
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print(msg)
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def cmd_status():
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"""查看当前账户状态"""
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acct = load_account()
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total_shares = sum(p["shares"] for p in acct["positions"])
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total_cost = sum(p["shares"] * p["avg_cost"] for p in acct["positions"])
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current_price, _ = get_current_price("000858")
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print(f"\n{'='*50}")
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print(f"小唯模拟账户 — 五粮液(000858) MA20突破策略")
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print(f"{'='*50}")
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print(f"初始资金: {acct['initial_capital']:.2f}")
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print(f"当前现金: {acct['current_capital']:.2f}")
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print(f"持仓状态: {'空仓' if total_shares == 0 else f'持仓{total_shares}股'}")
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print(f"最后信号: {acct['last_signal']} ({acct['last_signal_date']})")
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if total_shares > 0 and current_price:
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avg_cost = total_cost / total_shares
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market_val = total_shares * current_price
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unreal_pnl = market_val - total_cost
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unreal_pnl_pct = unreal_pnl / total_cost * 100
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print(f"\n持仓详情:")
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print(f" 数量: {total_shares}股")
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print(f" 成本价: {avg_cost:.2f}")
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print(f" 当前价: {current_price:.2f}")
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print(f" 市值: {market_val:.2f}")
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print(f" 纸上盈亏: {unreal_pnl:+.2f} ({unreal_pnl_pct:+.1f}%)")
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# 总资产
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total = acct["current_capital"] + market_val
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total_pnl = total - acct["initial_capital"]
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total_pnl_pct = total_pnl / acct["initial_capital"] * 100
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print(f"\n总资产: {total:.2f} (初始{acct['initial_capital']:.2f})")
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print(f"总盈亏: {total_pnl:+.2f} ({total_pnl_pct:+.1f}%)")
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# 历史成交
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stats = acct["stats"]
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print(f"\n历史成交: {stats['total_trades']}笔 | 胜{stats['winning_trades']} 负{stats['losing_trades']}")
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for t in acct["closed_trades"]:
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print(f" {t['date']} 买{t['buy_price']:.2f}→卖{t['sell_price']:.2f} {t['pnl']:+.2f}({t['pnl_pct']:+.1f}%)")
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print(f"{'='*50}")
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return acct
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def cmd_report():
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"""生成每日账户报告"""
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acct = load_account()
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stats = acct["stats"]
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total_shares = sum(p["shares"] for p in acct["positions"])
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total_cost = sum(p["shares"] * p["avg_cost"] for p in acct["positions"])
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current_price, _ = get_current_price("000858")
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if total_shares > 0 and current_price:
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market_val = total_shares * current_price
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unreal = market_val - total_cost
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total = acct["current_capital"] + market_val
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else:
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unreal = 0
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total = acct["current_capital"]
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total_pnl = total - acct["initial_capital"]
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total_pnl_pct = total_pnl / acct["initial_capital"] * 100
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msg = f"""📊 模拟账户日报 — 五粮液(000858)
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总资产: {total:.2f} | 盈亏: {total_pnl:+.2f} ({total_pnl_pct:+.1f}%)
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现金: {acct['current_capital']:.2f} | {'空仓' if total_shares == 0 else f'持仓{total_shares}股'}
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{'纸上浮盈: ' + f'{unreal:+.2f}' if total_shares > 0 else ''}
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胜率: {stats['winning_trades']}/{stats['total_trades']}
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生成: {datetime.now().strftime('%Y-%m-%d %H:%M')}"""
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send_feishu(msg)
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print(msg)
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if __name__ == "__main__":
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if len(sys.argv) < 2:
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cmd_status()
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elif sys.argv[1] == "status":
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cmd_status()
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elif sys.argv[1] == "buy" and len(sys.argv) >= 3:
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cmd_buy(sys.argv[2])
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elif sys.argv[1] == "sell" and len(sys.argv) >= 3:
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cmd_sell(sys.argv[2])
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elif sys.argv[1] == "report":
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cmd_report()
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else:
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print("用法:")
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print(" python3 stock_paper.py status # 账户状态")
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print(" python3 stock_paper.py buy <价格> # 模拟买入")
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print(" python3 stock_paper.py sell <价格> # 模拟卖出")
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print(" python3 stock_paper.py report # 每日报告") |