修复翻倍出场达标却不自动平:对冲异常不再整段跳过,并按买一价×全仓判定。
原先对冲表异常会直接 return 0 导致翻倍出场永不执行;可回收改为买一价×全部张数,买一深度不足时仍会触发分批平仓。 Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -211,13 +211,34 @@ def _estimate_recycle(
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pos: dict[str, Any],
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premium_paid: float | None,
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) -> float | None:
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"""翻倍出场用可回收估算.
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用买一价 × 全部持仓张数(不吃深度上限):深度不够时仍应触发分批平仓;
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残档/无效买一则返回 None(禁止按假买盘自动平).
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"""
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from lib.options.options_positions_lib import attach_close_preview
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from lib.options.options_pricing_lib import total_premium
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row = dict(pos)
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attach_close_preview(cfg, ex, row, premium_paid=premium_paid)
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preview = row.get("close_preview") if isinstance(row.get("close_preview"), dict) else {}
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if preview.get("bid_invalid"):
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return None
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levels = preview.get("levels") or []
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ct_mult = float(row.get("ct_mult") or 0.01)
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sheets = int(
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abs(
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_safe_float(row.get("avail_pos") if row.get("avail_pos") is not None else row.get("pos"))
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or 0
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)
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)
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if levels and sheets > 0 and ct_mult > 0:
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try:
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px = float(levels[0].get("px") or 0)
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except (TypeError, ValueError, AttributeError):
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px = 0.0
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if px > 0:
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return round(total_premium(px, sheets * ct_mult), 8)
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return _safe_float(preview.get("total_received"))
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@@ -296,7 +317,8 @@ def run_options_profit_exits(
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init_hedge_plan_tables(conn)
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hedge_managed = active_hedge_option_inst_ids(conn)
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except Exception:
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return 0
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# 对冲表异常时不得整段跳过翻倍出场
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hedge_managed = set()
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rules = profit_exit_by_inst(conn)
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triggered = 0
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@@ -0,0 +1,41 @@
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"""翻倍出场:买一价×全仓张数判定达标(不受买一深度截断)."""
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from __future__ import annotations
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import unittest
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from unittest.mock import patch
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from lib.options.options_profit_exit_lib import _estimate_recycle, profit_exit_hit
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class ProfitExitHitTests(unittest.TestCase):
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def test_hit_at_0_3_mult(self):
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# 0.3倍: recycle >= paid * 1.3
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self.assertTrue(profit_exit_hit(premium_paid=1.0, recycle_usdc=1.3, mult=0.3))
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self.assertFalse(profit_exit_hit(premium_paid=1.0, recycle_usdc=1.29, mult=0.3))
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def test_estimate_uses_full_sheets_not_depth(self):
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pos = {"inst_id": "ETH-USD-260927-2700-P", "pos": 100, "ct_mult": 0.01}
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preview = {
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"bid_invalid": False,
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"levels": [{"px": 0.2, "sheets": 10}], # 深度只够 10 张
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"total_received": 0.02, # 仅深度内
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}
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def fake_attach(cfg, ex, row, premium_paid=None):
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row["close_preview"] = preview
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row["ct_mult"] = 0.01
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row["pos"] = 100
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return row
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with patch(
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"lib.options.options_positions_lib.attach_close_preview",
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side_effect=fake_attach,
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):
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recv = _estimate_recycle({}, object(), pos, 1.0)
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# 应按 100 张 × 0.01 × 0.2 = 0.2,而非深度截断的 0.02
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self.assertAlmostEqual(float(recv), 0.2, places=6)
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self.assertTrue(profit_exit_hit(premium_paid=0.15, recycle_usdc=float(recv), mult=0.3))
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if __name__ == "__main__":
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unittest.main()
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