BLUE: TP_FLOOR profit-floor + malformed-OPEN Option A (first add of trader)
TP_FLOOR (LINK 5e05eeeb, -$1,248.71): once the BASE 0.20% TP is crossed, regression to base exits — caps the left tail of the OB cascade x1.40 TP-widening (which is logged per decision now: dynamic_tp_pct, tp_mod_factor, cascade_count, ob_regime_signal, tp_floor_armed on v7_decision_events). Class default OFF (champion parity); live ON via DOLPHIN_TP_FLOOR. Malformed-OPEN Option A (causal fix): POSITION_DUST_NOTIONAL_USD shared by the full-close decision and the single _ps_write_open lifecycle gate (OPEN rows can never round to zero size on disk); retract terminal leg writes its trade_exit_legs + trade_reconstruction rows; restore reject-exhaustion halts for unknown-corruption classes and flat-continues only for the documented zero-size tombstone class; chain-token mismatch emits a CHAIN_TOKEN_MISMATCH journal event; restored entry_bar preserves bars_held continuity (negative entry_bar allowed, Int32) in both CH and HZ restore paths. Tests: test_tp_floor.py 16/16 incl. LINK golden replay; test_malformed_open_distal.py 11/11. Suites before/after identical except one PRE-EXISTING failure fixed (full-close zero-size-row test). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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prod/tests/test_tp_floor.py
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prod/tests/test_tp_floor.py
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"""TP profit-floor (TP_FLOOR) + TP-threshold diagnostics — regression suite.
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Incident: LINKUSDT 5e05eeeb (2026-06-11). The OB tail-avoidance layer
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silently widened the "fixed" 0.20% TP by x1.40 during a cascade
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(alpha_exit_manager.evaluate, cascade branch). The trade peaked at +0.265%
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(between base 0.19998% and widened 0.27998%), held four consecutive scans,
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reversed, and died at STOP_LOSS -$1,248.71.
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This suite pins:
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1. Default-OFF parity: with tp_floor_enabled=False (the class default),
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behavior is bit-identical to the pre-change engine, INCLUDING the
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cascade-widened HOLD that caused the incident.
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2. The golden LINK replay: with the floor ON, the trade exits TP_FLOOR
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on the first regression scan below base TP (+0.1617%), not STOP_LOSS.
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3. Arming and edge rules, modulation interactions, LONG symmetry,
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STOP_LOSS / MAX_HOLD untouched, diagnostics present on every decision.
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"""
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import sys
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from pathlib import Path
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sys.path.insert(0, "/mnt/dolphinng5_predict/nautilus_dolphin")
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import pytest
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from nautilus_dolphin.nautilus.alpha_exit_manager import AlphaExitManager
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# ── OB engine mock — exactly the surface evaluate() consumes ─────────────────
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class _Sig:
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def __init__(self, imbalance_ma5=0.0, withdrawal_velocity=0.0):
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self.imbalance_ma5 = imbalance_ma5
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self.withdrawal_velocity = withdrawal_velocity
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class _Macro:
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def __init__(self, cascade_count=0, regime_signal=0):
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self.cascade_count = cascade_count
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self.regime_signal = regime_signal
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class MockOBEngine:
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def __init__(self, cascade_count=0, regime_signal=0, imbalance_ma5=0.0,
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withdrawal_velocity=0.0):
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self._sig = _Sig(imbalance_ma5, withdrawal_velocity)
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self._macro = _Macro(cascade_count, regime_signal)
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def get_signal(self, asset, ts):
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return self._sig
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def get_macro(self):
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return self._macro
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# ── LINK 5e05eeeb constants (from the live tape) ─────────────────────────────
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LINK_ENTRY = 7.729
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LINK_TP = 0.0019998464 # tp_effective_pct as recorded
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LINK_DIR = -1 # SHORT
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# (price, expected pnl_pct fraction) sequence from dolphin.v7_decision_events
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LINK_TAPE = [
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(7.7225, 0.00084), # bars 0-1
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(7.7185, 0.00136), # bars 4-7
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(7.7175, 0.00149), # bars 5-9
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(7.7085, 0.00265), # bars 10-12 — ABOVE base TP, below widened TP
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(7.7125, 0.00213), # bar 12-13 — still above base TP
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(7.7165, 0.00162), # bar 13-14 — REGRESSED below base TP
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]
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def _mgr(floor=False, ob=None, tp=LINK_TP, stop=1.0, max_hold=250):
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m = AlphaExitManager(fixed_tp_pct=tp, stop_pct=stop, max_hold_bars=max_hold,
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tp_floor_enabled=floor)
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if ob is not None:
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m.ob_engine = ob
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return m
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def _short(m, trade_id="t", entry=LINK_ENTRY, bar=0):
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m.setup_position(trade_id, entry, LINK_DIR, bar)
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return trade_id
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# ── 1. Default-off parity (incident behavior preserved bit-exact) ───────────
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def test_default_is_off():
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assert AlphaExitManager().tp_floor_enabled is False
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def test_cascade_widened_hold_unchanged_when_floor_off():
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"""The incident, replayed: floor OFF + cascade ON -> HOLD through the
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whole profitable window and no TP_FLOOR ever — pre-change behavior."""
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m = _mgr(floor=False, ob=MockOBEngine(cascade_count=3))
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t = _short(m)
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bar = 0
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for price, _pnl in LINK_TAPE:
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bar += 1
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r = m.evaluate(t, price, bar, asset="LINKUSDT")
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assert r["action"] == "HOLD", (price, r)
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# diagnostics still present even when floor is off
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assert r["dynamic_tp_pct"] == pytest.approx(LINK_TP * 1.40, rel=1e-9)
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assert r["tp_mod_factor"] == pytest.approx(1.40, rel=1e-9)
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assert r["cascade_count"] == 3
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assert r["tp_floor_armed"] is True
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def test_no_ob_engine_fixed_tp_fires_at_base():
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"""Without an OB engine there is no modulation: first scan at +0.265%
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fires plain FIXED_TP (sanity that base behavior is intact)."""
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m = _mgr(floor=False)
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t = _short(m)
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r = m.evaluate(t, 7.7085, 10, asset="LINKUSDT")
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assert (r["action"], r["reason"]) == ("EXIT", "FIXED_TP")
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assert r["dynamic_tp_pct"] == pytest.approx(LINK_TP)
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assert r["tp_mod_factor"] == pytest.approx(1.0)
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# ── 2. Golden LINK replay with the floor ON ─────────────────────────────────
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def test_link_golden_replay_floor_exits_on_regression():
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"""THE fix: cascade widens TP to 0.27998%; the tape peaks at 0.265%
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(HOLD, matching live); on the first scan back below base TP the floor
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fires TP_FLOOR at +0.1617% — instead of riding to -1.26% STOP_LOSS."""
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=3))
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t = _short(m)
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actions = []
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bar = 0
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result = None
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for price, _pnl in LINK_TAPE:
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bar += 1
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result = m.evaluate(t, price, bar, asset="LINKUSDT")
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actions.append(result["action"])
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if result["action"] == "EXIT":
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break
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assert result["action"] == "EXIT"
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assert result["reason"] == "TP_FLOOR"
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# exits on the LAST tape row (the regression scan), not earlier
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assert actions == ["HOLD"] * (len(LINK_TAPE) - 1) + ["EXIT"]
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assert result["pnl_pct"] == pytest.approx(
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LINK_DIR * (7.7165 - LINK_ENTRY) / LINK_ENTRY) # +0.16173%
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assert result["pnl_pct"] > 0.0 # banked a WIN
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assert result["tp_floor_armed"] is True
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def test_floor_does_not_fire_while_above_base():
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"""pnl at 0.2135% (above base 0.19998%) must NOT trigger the floor —
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the widened FIXED_TP logic stays in charge of capturing more."""
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=1))
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t = _short(m)
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m.evaluate(t, 7.7085, 1, asset="LINKUSDT") # arm (0.265%)
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r = m.evaluate(t, 7.7125, 2, asset="LINKUSDT") # 0.2135% > base
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assert r["action"] == "HOLD"
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# ── 3. Arming rules ──────────────────────────────────────────────────────────
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def test_floor_unarmed_below_base_never_fires():
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"""Excursion never reached base TP -> dips can not trigger TP_FLOOR."""
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2))
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t = _short(m)
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r1 = m.evaluate(t, 7.7185, 1, asset="LINKUSDT") # +0.136% < base
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assert (r1["action"], r1["tp_floor_armed"]) == ("HOLD", False)
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r2 = m.evaluate(t, 7.7350, 2, asset="LINKUSDT") # negative excursion
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assert r2["action"] == "HOLD"
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r3 = m.evaluate(t, 7.760, 3, asset="LINKUSDT") # -0.40% — still HOLD
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assert r3["action"] == "HOLD"
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def test_marginal_cross_then_reverse_exits_near_base():
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"""Cross base TP by a hair (1.0001x), reverse: floor exits ~at base —
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economically a 0.20% TP (the operator's stated intent). An EXACT-ulp
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touch is allowed not to arm (float round-trip); crossing must arm."""
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2))
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t = _short(m)
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cross = LINK_ENTRY * (1.0 - LINK_TP * 1.0001) # just through base
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r1 = m.evaluate(t, cross, 1, asset="LINKUSDT")
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# armed on the crossing bar; pnl marginally ABOVE base -> no fire yet
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# (pnl <= base is false by the 1.0001 margin)
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assert r1["action"] == "HOLD" and r1["tp_floor_armed"] is True
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back = LINK_ENTRY * (1.0 - LINK_TP * 0.95) # regression below base
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r2 = m.evaluate(t, back, 2, asset="LINKUSDT")
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assert (r2["action"], r2["reason"]) == ("EXIT", "TP_FLOOR")
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assert r2["pnl_pct"] == pytest.approx(LINK_TP * 0.95, rel=1e-6)
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def test_set_live_tp_pct_rebases_floor():
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"""The soft-leverage sync re-bases the floor each scan."""
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2), tp=0.0020)
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t = _short(m)
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m.evaluate(t, 7.7085, 1, asset="LINKUSDT") # armed vs 0.20%
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m.set_live_tp_pct(0.0030) # TP widened to 0.30%
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# 0.265% max_favorable is now BELOW the new base -> floor disarmed
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r = m.evaluate(t, 7.7125, 2, asset="LINKUSDT") # 0.2135%
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assert r["action"] == "HOLD"
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assert r["tp_floor_armed"] is False
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# ── 4. Other exits untouched ─────────────────────────────────────────────────
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def test_stop_loss_unaffected():
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2), stop=0.012)
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t = _short(m)
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r = m.evaluate(t, LINK_ENTRY * 1.013, 1, asset="LINKUSDT") # -1.3% (short)
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assert (r["action"], r["reason"]) == ("EXIT", "STOP_LOSS")
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def test_max_hold_unaffected():
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2), max_hold=5)
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t = _short(m)
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r = None
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for bar in range(1, 7):
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r = m.evaluate(t, LINK_ENTRY * 1.0005, bar, asset="LINKUSDT") # small loss
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if r["action"] == "EXIT":
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break
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assert (r["action"], r["reason"]) == ("EXIT", "MAX_HOLD")
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def test_widened_fixed_tp_still_fires_above_widened():
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"""Cascade ON, pnl ABOVE the widened threshold -> FIXED_TP (continuation
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capture preserved; the floor must not pre-empt it)."""
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2))
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t = _short(m)
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deep = LINK_ENTRY * (1.0 - LINK_TP * 1.40 * 1.1) # 10% past widened
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r = m.evaluate(t, deep, 1, asset="LINKUSDT")
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assert (r["action"], r["reason"]) == ("EXIT", "FIXED_TP")
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assert r["pnl_pct"] > LINK_TP * 1.40
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def test_withdrawal_tightening_fires_fixed_tp_not_floor():
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"""regime_signal=1 with profit tightens TP x0.60 -> FIXED_TP fires below
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base; the floor never engages (pnl above dynamic but below base is
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impossible here because dynamic < base)."""
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m = _mgr(floor=True, ob=MockOBEngine(regime_signal=1))
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t = _short(m)
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px = LINK_ENTRY * (1.0 - LINK_TP * 0.8) # pnl = 0.8x base
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r = m.evaluate(t, px, 1, asset="LINKUSDT")
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assert (r["action"], r["reason"]) == ("EXIT", "FIXED_TP")
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assert r["tp_mod_factor"] == pytest.approx(0.60, rel=1e-9)
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# ── 5. LONG symmetry ─────────────────────────────────────────────────────────
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def test_long_floor_symmetry():
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=2), tp=0.0020)
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m.setup_position("L", 100.0, +1, 0)
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r1 = m.evaluate("L", 100.25, 1, asset="X") # +0.25% in band -> HOLD
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assert r1["action"] == "HOLD" and r1["tp_floor_armed"] is True
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r2 = m.evaluate("L", 100.15, 2, asset="X") # regression below base
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assert (r2["action"], r2["reason"]) == ("EXIT", "TP_FLOOR")
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assert r2["pnl_pct"] == pytest.approx(0.0015, rel=1e-6)
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# ── 6. Diagnostics contract ──────────────────────────────────────────────────
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DIAG_KEYS = ("tp_base_pct", "dynamic_tp_pct", "tp_mod_factor",
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"cascade_count", "ob_regime_signal", "tp_floor_armed")
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def test_diagnostics_on_every_decision_and_last_eval():
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m = _mgr(floor=True, ob=MockOBEngine(cascade_count=4, regime_signal=0))
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t = _short(m)
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r = m.evaluate(t, 7.7225, 1, asset="LINKUSDT")
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for k in DIAG_KEYS:
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assert k in r, k
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assert r["cascade_count"] == 4
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le = m.last_eval
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assert le["trade_id"] == t and le["bar"] == 1
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for k in DIAG_KEYS:
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assert k in le, k
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def test_diagnostics_defaults_without_ob_engine():
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m = _mgr(floor=True)
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t = _short(m)
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r = m.evaluate(t, 7.7225, 1, asset="LINKUSDT")
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assert r["cascade_count"] == 0
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assert r["ob_regime_signal"] == 0
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assert r["tp_mod_factor"] == pytest.approx(1.0)
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def test_no_state_return_unchanged():
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m = _mgr(floor=True)
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r = m.evaluate("ghost", 1.0, 1)
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assert (r["action"], r["reason"]) == ("HOLD", "NO_STATE")
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if __name__ == "__main__":
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sys.exit(pytest.main([__file__, "-v"]))
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