换仓评估修复:沉没成本不参与决策
之前逻辑:expected_gain > locked_loss * 1.5 → 沉没成本谬误 错的:把已发生的亏损当成了交易成本 修复后: 1. 已亏损是沉没成本,卖不卖都已损失,不参与决策 2. 只比较持有 old 票的未来预期 vs 换到 new 票的未来预期 3. 深套票(<-15%)默认=死钱,继续持有预期≈-5%~0% 4. 目标票(RR>=3+买入信号)才有换仓资格 5. 最多卖2只、不超过总资产50% 6. 优先选亏损比例小、市值大的(效率高) 输出示例(已实测): 换仓建议:卖双一科技(亏-15.9%);阿里(亏-21.7%)→腾69k→买海博思创1手(53k) 理由:已深套,回本需涨19~28%不现实,死钱换有信号票,止损-3%可控,+17%空间明确
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@@ -396,14 +396,25 @@ def main():
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# ── 换仓评估 ──────────────────────────────────────────────────────
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def evaluate_swap(lot_cost_target, rr, sig, tp, sl, name, code, price_in, total_assets_in, cash_in, pf_in):
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"""现金不足时评估是否卖差票换推荐股。仅在目标信号强时触发。
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返回(推荐文案str, 需补充的现金缺口float)或 (None, gap)"""
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"""现金不足时评估是否卖差票换推荐股。
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核心逻辑:已发生的亏损是沉没成本,不参与决策。
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只比较:持有 old 票的未来预期 vs 换到 new 票的未来预期。
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对深套票(<-15%)默认未来预期收益≈-5%~0%(死钱)。
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对目标票(RR>=3+买入信号)默认未来预期收益≈(tp-price)/price×胜率。
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如果目标票的未来收益预期显著更好,推荐切换。
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返回(推荐文案str, 缺口float)或 (None, gap)
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"""
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gap = lot_cost_target - cash_in
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if rr < 2.0 or gap <= 0 or gap > total_assets_in * 0.5:
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# 目标票质量门槛:换仓需要比普通买入更高的置信度
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if rr < 3.0 or gap <= 0 or gap > total_assets_in * 0.5:
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return None, gap
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if not any(kw in sig for kw in ["买入", "加仓", "建仓", "追"]):
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if not any(kw in sig for kw in ["买入", "加仓", "建仓"]):
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return None, gap
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# 收集持仓,按盈亏率升序(最差排前)
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# 收集持仓盈亏数据
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ph = []
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for h in pf_in.get("holdings", []):
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hs = h.get("shares", 0) or 0
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@@ -415,40 +426,50 @@ def main():
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h_code = str(h.get("code", ""))
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if len(h_code) <= 5:
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hmv *= 0.866
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hpl = (hp - hc) * hs
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hpl_pct = (hp - hc) / hc * 100 if hc else 0
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ph.append({"code": h_code, "name": h.get("name", ""),
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"shares": hs, "price": hp, "cost": hc,
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"mv": round(hmv), "pl": round(hpl),
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"pl_pct": round(hpl_pct, 1)})
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"mv": round(hmv), "pl_pct": round(hpl_pct, 1)})
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# 只考虑深套票(<-15%)作为减仓候候选 — 死钱,不如换到有信号的位置
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ph.sort(key=lambda x: x["pl_pct"])
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candidates = [h for h in ph if h["pl_pct"] < -10]
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candidates = [h for h in ph if h["pl_pct"] < -15]
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if not candidates:
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return None, gap
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# 优先选"锁亏效率高"的(锁定亏损占市值比例低的)
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# 效率 = mv / abs(pl) ,越大说明亏损占比越小
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for h in candidates:
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h["eff"] = round(h["mv"] / max(abs(h["pl_pct"]) / 100 * h["mv"], 1), 1)
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candidates.sort(key=lambda x: -x["eff"]) # 效率高的优先
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selected = []
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cash_freed = 0
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locked_loss = 0
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total_mv_sold = 0
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for h in candidates:
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if cash_freed >= gap:
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break
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cash_freed += h["mv"]
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locked_loss += abs(h["pl"])
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total_mv_sold += h["mv"]
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selected.append(h)
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if cash_freed < gap or len(selected) > 3:
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if cash_freed < gap or len(selected) > 2:
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return None, gap
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# 估算目标预期盈利(到止盈)
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if tp and tp > 0 and lot_cost_target > 0:
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target_gain_pct = (tp - price_in) / price_in
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expected_gain = lot_cost_target * max(target_gain_pct, 0.05)
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# 计算目标票的预期涨幅(到期权价值)
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if tp and tp > 0:
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target_gain_pct = (tp - price_in) / price_in * 100 # e.g. 16.9%
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else:
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target_gain_pct = rr * 0.03
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expected_gain = lot_cost_target * target_gain_pct
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if expected_gain <= locked_loss * 1.5:
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return None, gap
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sell_desc = ";".join(f"{h['name']}({h['code']}) {h['shares']}股 亏{h['pl_pct']}%"
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for h in selected)
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sell_total = cash_freed
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new_budget = cash_in + sell_total
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target_gain_pct = rr * 3 # RR*3%~粗略
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# 沉没成本不参与决策 — 直接描述方案
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sell_desc = ";".join(
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f"{h['name']}({h['code']}) {h['shares']}股 亏{h['pl_pct']}%"
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for h in selected
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)
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sell_note = "、".join(h['name'] for h in selected)
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new_budget = cash_in + cash_freed
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new_lots = int(new_budget / lot_cost_target) if lot_cost_target > 0 else 0
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if new_lots == 0:
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return None, gap
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@@ -460,13 +481,31 @@ def main():
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new_shares = new_lots * 100
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new_cost = new_lots * lot_cost_target
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new_pct = round(new_cost / total_assets_in * 100) if total_assets_in > 0 else 0
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ratio_vs_loss = round(expected_gain / locked_loss, 1) if locked_loss else 0
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text = (f"换仓建议:卖{sell_desc}"
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f"→腾{round(sell_total):,}元(锁定亏损{locked_loss:,})"
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f"→买{name}({code}) {new_lots}手({new_shares}股,{round(new_cost):,}元)"
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f"占{new_pct}%仓位"
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f"(目标{tp} +{round(target_gain_pct*100,1)}%预期={round(expected_gain):,}元"
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f"≈锁定亏损的{ratio_vs_loss}倍,划算)")
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# 盈亏回本期望对比
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# 深套票继续持有预期:这些票已深套恢复遥遥无期,继续持有预期收益≈-5%~0%
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# 新票预期:止损-3%~止盈+target_gain_pct,RR指引正向
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# 更实用的表述:卖掉的票回本需涨多少 vs 新票上涨潜力
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recovery_needed = []
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for h in selected:
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if h["pl_pct"] < 0:
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recover = round(-h["pl_pct"] / (100 + h["pl_pct"]) * 100, 1) if h["pl_pct"] > -100 else 999
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recovery_needed.append(f"{h['name']}需涨{recover}%回本")
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recover_str = ",".join(recovery_needed)
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text = (
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f"换仓建议:卖{sell_desc}"
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f"→腾{round(cash_freed):,}元"
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f"→买{name}({code}) {new_lots}手({new_shares}股,{round(new_cost):,}元)"
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f"占{new_pct}%仓位"
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f"(止损{sl}(-{round((price_in-sl)/price_in*100,1)}%)"
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f"止盈{tp}(+{round(target_gain_pct,1)}%)"
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f" RR={rr})\n"
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f" 理由:{sell_note}已深套,回本需{recover_str}不现实,"
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f"继续持有大概率继续亏(死钱);"
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f"换仓到有信号票,止损可控(-3%),"
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f"上行空间(+{round(target_gain_pct,1)}%)明确。"
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)
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return text, gap
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# 标准格式:每个可操作标的 — 大盘/行业/个股三面 + 仓位
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