fix: harden post-stop reentry lockdown

app/routers/trades.py

@@ -99,7 +99,7 @@ async def get_ticker_trade_setups(
         db,
         symbol=symbol,
         live_recommendation=True,
-        exclude_reentry_lockdown_tickers=True,
+        include_reentry_lockdown=True,
     )
     data = []
     for row in rows:

app/schemas/trade_setup.py

@@ -59,5 +59,6 @@ class TradeSetupResponse(BaseModel):
     momentum_percentile: float | None = None
     strategy_rank: float | None = None
     volatility_percentile: float | None = None
+    reentry_lockdown_remaining_sessions: int | None = None
     context_as_of: TradeSetupContextAsOfResponse | None = None
     recommendation_summary: RecommendationSummaryResponse | None = None

app/services/backtest_service.py

@@ -1356,7 +1356,7 @@ def _simulate_portfolio(
     max_positions: int = SIM_MAX_POSITIONS,
     risk_per_trade: float = SIM_RISK_PER_TRADE,
     atr_trail_multiplier: float = ATR_TRAIL_MULTIPLIER,
-    reentry_cooldown_days: int = 0,
+    reentry_cooldown_sessions: int = 0,
     initial_stop_refresh_fn: (
         Callable[[str, int, float, dict, Any], float | None] | None
     ) = None,
@@ -1380,7 +1380,7 @@ def _simulate_portfolio(
     runs the ATR trail *and* the S/R take-profit together — the trade ends at
     whichever comes first. Stops fill at the worse of stop or open (gaps
     modeled); positions still open at the end are closed at their last mark.
-    ``reentry_cooldown_days`` blocks a ticker for that many market sessions
+    ``reentry_cooldown_sessions`` blocks a ticker for that many market sessions
     after an initial-stop loss. Profitable trailing-stop exits do not trigger
     it. ``initial_stop_refresh_fn`` may supply a lower, point-in-time valid long
     stop when the active initial stop is touched; the replacement is still
@@ -1541,7 +1541,7 @@ def _simulate_portfolio(
     def _marked_equity() -> float:
         return cash + sum(p["shares"] * p["last_close"] for p in positions.values())
 
-    cooldown_days = max(0, int(reentry_cooldown_days))
+    cooldown_sessions = max(0, int(reentry_cooldown_sessions))
     for calendar_index, o in enumerate(calendar):
         # 1) exits on today's bars (stop intraday, target intraday, time at close)
         for sym in list(positions):
@@ -1579,8 +1579,8 @@ def _simulate_portfolio(
                 if not survived_refresh:
                     fill = min(pos["stop"], bar.open)
                     closed_pos = _close_trade(sym, fill, reason)
-                    if reason == "stop" and cooldown_days:
+                    if reason == "stop" and cooldown_sessions:
-                        cooldown_until_index[sym] = calendar_index + cooldown_days
+                        cooldown_until_index[sym] = calendar_index + cooldown_sessions
                     if reason == "stop" and post_stop_reentry_fn is not None:
                         post_stop_events += 1
                         post_stop_states[sym] = {
@@ -1833,8 +1833,8 @@ def _simulate_portfolio(
         result["equity_curve"] = curve_payload
     if benchmark_payload is not None:
         result["benchmark_curve"] = benchmark_payload
-    if cooldown_days:
+    if cooldown_sessions:
-        result["reentry_cooldown_days"] = cooldown_days
+        result["reentry_cooldown_sessions"] = cooldown_sessions
         result["skipped_cooldown"] = skipped_cooldown
     if initial_stop_refresh_fn is not None:
         result["stop_refresh_attempts"] = stop_refresh_attempts
@@ -2403,7 +2403,7 @@ def _min_rr_sweep(
             max_positions=int(entry_cfg["max_positions"]),
             risk_per_trade=float(entry_cfg["risk_per_trade"]),
             atr_trail_multiplier=trail_multiplier,
-            reentry_cooldown_days=reentry_lockdown_sessions,
+            reentry_cooldown_sessions=reentry_lockdown_sessions,
             start_date=sweep_start,
         )
         if sim is None:
@@ -2516,7 +2516,7 @@ def _holdout_evaluation(
             max_positions=int(entry_cfg["max_positions"]),
             risk_per_trade=float(entry_cfg["risk_per_trade"]),
             atr_trail_multiplier=trail_multiplier,
-            reentry_cooldown_days=reentry_lockdown_sessions,
+            reentry_cooldown_sessions=reentry_lockdown_sessions,
             start_date=start,
             end_date=end,
             include_curve=True,
@@ -2592,7 +2592,7 @@ def _portfolio_monitor(
                 max_positions=int(entry_cfg["max_positions"]),
                 risk_per_trade=float(entry_cfg["risk_per_trade"]),
                 atr_trail_multiplier=trail_multiplier,
-                reentry_cooldown_days=reentry_lockdown_sessions,
+                reentry_cooldown_sessions=reentry_lockdown_sessions,
                 start_date=start,
                 include_curve=True,
             )

app/services/paper_trade_service.py

@@ -20,6 +20,7 @@ from app.services.outcome_service import (
     Bar,
     evaluate_setup_against_bars,
 )
+from app.services.trade_policy import get_reentry_lockdowns
 
 # Exit policy for OPEN paper trades (auto-close). Production defaults to the
 # July 2026 promoted strategy: initial stop + 3x ATR trailing stop, with a max
@@ -318,6 +319,13 @@ async def create_trade(
         raise ValidationError("shares and entry_price must be positive")
 
     ticker = await _get_ticker(db, symbol)
+    remaining_sessions = (await get_reentry_lockdowns(db)).get(ticker.id)
+    if remaining_sessions is not None:
+        suffix = "session" if remaining_sessions == 1 else "sessions"
+        raise ValidationError(
+            f"{ticker.symbol} is in a post-stop re-entry lockdown: "
+            f"{remaining_sessions} market {suffix} remaining"
+        )
     trade = PaperTrade(
         user_id=user_id,
         ticker_id=ticker.id,

app/services/rr_scanner_service.py

@@ -29,7 +29,7 @@ from app.models.trade_setup import TradeSetup
 from app.services.indicator_service import _extract_ohlcv, compute_atr
 from app.services.price_service import query_ohlcv
 from app.services.sr_service import detect_gate_target_ladder
-from app.services.trade_policy import get_reentry_lockdown_ticker_ids
+from app.services.trade_policy import get_reentry_lockdowns
 from app.services.recommendation_service import (
     _risk_level_from_conflicts,
     build_recommendation_snapshot,
@@ -773,6 +773,7 @@ async def get_trade_setups(
     live_recommendation: bool = False,
     exclude_open_trade_tickers: bool = False,
     exclude_reentry_lockdown_tickers: bool = False,
+    include_reentry_lockdown: bool = False,
 ) -> list[dict]:
     """Get latest stored trade setups, optionally filtered.
 
@@ -797,6 +798,7 @@ async def get_trade_setups(
     if recommended_action is not None and not live_recommendation:
         stmt = stmt.where(TradeSetup.recommended_action == recommended_action)
     excluded_ticker_ids: set[int] = set()
+    reentry_lockdowns: dict[int, int] = {}
     if exclude_open_trade_tickers:
         open_trade_result = await db.execute(
             select(PaperTrade.ticker_id)
@@ -806,8 +808,10 @@ async def get_trade_setups(
         excluded_ticker_ids.update(
             ticker_id for ticker_id, in open_trade_result.all()
         )
+    if exclude_reentry_lockdown_tickers or include_reentry_lockdown:
+        reentry_lockdowns = await get_reentry_lockdowns(db)
     if exclude_reentry_lockdown_tickers:
-        excluded_ticker_ids.update(await get_reentry_lockdown_ticker_ids(db))
+        excluded_ticker_ids.update(reentry_lockdowns)
     if excluded_ticker_ids:
         stmt = stmt.where(~TradeSetup.ticker_id.in_(excluded_ticker_ids))
 
@@ -862,6 +866,15 @@ async def get_trade_setups(
             ),
             reverse=True,
         )
+    if include_reentry_lockdown:
+        ticker_by_setup_id = {
+            setup.id: setup.ticker_id for setup, _ in latest_rows
+        }
+        for row in rows_out:
+            ticker_id = ticker_by_setup_id.get(row["id"])
+            row["reentry_lockdown_remaining_sessions"] = (
+                reentry_lockdowns.get(ticker_id) if ticker_id is not None else None
+            )
     return rows_out
 
 

app/services/trade_policy.py

@@ -2,13 +2,16 @@
 
 from __future__ import annotations
 
-from datetime import date, datetime, time, timezone
+from collections import defaultdict
+from datetime import date, datetime, timezone
 
-from sqlalchemy import select
+from sqlalchemy import func, select
 from sqlalchemy.ext.asyncio import AsyncSession
 
+from app.models.benchmark_price import BenchmarkPrice
 from app.models.ohlcv import OHLCVRecord
 from app.models.paper_trade import PaperTrade
+from app.services.benchmark_service import BENCHMARK_SYMBOL
 
 # A ticker stopped at its initial stop may qualify again immediately, but the
 # July 2026 event study showed that waiting five market sessions materially
@@ -17,52 +20,101 @@ from app.models.paper_trade import PaperTrade
 REENTRY_LOCKDOWN_SESSIONS = 5
 
 
+async def get_reentry_lockdowns(
+    db: AsyncSession,
+    *,
+    as_of: date | None = None,
+    sessions: int = REENTRY_LOCKDOWN_SESSIONS,
+) -> dict[int, int]:
+    """Return ``{ticker_id: remaining_sessions}`` for active lockdowns.
+
+    SPY is the canonical calendar for the platform's US-equity universe. When
+    the stored benchmark history does not reach an older stop, only that
+    ticker's own OHLCV dates are used as a conservative fallback. Unrelated
+    ticker dates can therefore never shorten a lockdown.
+    """
+    sessions = max(0, int(sessions))
+    if sessions == 0:
+        return {}
+
+    session_cutoff = as_of or datetime.now(timezone.utc).date()
+    stop_result = await db.execute(
+        select(
+            PaperTrade.ticker_id,
+            func.max(PaperTrade.closed_at).label("last_stop_at"),
+        )
+        .where(
+            PaperTrade.status == "closed",
+            PaperTrade.close_reason == "stop",
+            PaperTrade.closed_at.is_not(None),
+        )
+        .group_by(PaperTrade.ticker_id)
+    )
+    stop_dates = {
+        ticker_id: stopped_at.date()
+        for ticker_id, stopped_at in stop_result.all()
+        if stopped_at is not None and stopped_at.date() <= session_cutoff
+    }
+    if not stop_dates:
+        return {}
+
+    benchmark_result = await db.execute(
+        select(BenchmarkPrice.date)
+        .where(
+            BenchmarkPrice.symbol == BENCHMARK_SYMBOL,
+            BenchmarkPrice.date <= session_cutoff,
+        )
+        .order_by(BenchmarkPrice.date.asc())
+    )
+    benchmark_dates = [row[0] for row in benchmark_result.all()]
+
+    lockdowns: dict[int, int] = {}
+    fallback_stops: dict[int, date] = {}
+    first_benchmark_date = benchmark_dates[0] if benchmark_dates else None
+    for ticker_id, stop_date in stop_dates.items():
+        completed = sum(day > stop_date for day in benchmark_dates)
+        if completed >= sessions:
+            continue
+        if first_benchmark_date is not None and first_benchmark_date <= stop_date:
+            lockdowns[ticker_id] = sessions - completed
+        else:
+            # The benchmark table starts after this stop (or is empty), so it
+            # cannot prove how many sessions elapsed. Resolve only this ticker
+            # against its own bars instead of using universe-wide dates.
+            fallback_stops[ticker_id] = stop_date
+
+    if fallback_stops:
+        own_session_result = await db.execute(
+            select(OHLCVRecord.ticker_id, OHLCVRecord.date)
+            .where(
+                OHLCVRecord.ticker_id.in_(fallback_stops),
+                OHLCVRecord.date > min(fallback_stops.values()),
+                OHLCVRecord.date <= session_cutoff,
+            )
+            .distinct()
+        )
+        own_dates: dict[int, set[date]] = defaultdict(set)
+        for ticker_id, market_date in own_session_result.all():
+            own_dates[ticker_id].add(market_date)
+        for ticker_id, stop_date in fallback_stops.items():
+            completed = sum(day > stop_date for day in own_dates[ticker_id])
+            if completed < sessions:
+                lockdowns[ticker_id] = sessions - completed
+
+    return lockdowns
+
+
 async def get_reentry_lockdown_ticker_ids(
     db: AsyncSession,
     *,
     as_of: date | None = None,
     sessions: int = REENTRY_LOCKDOWN_SESSIONS,
 ) -> set[int]:
-    """Ticker ids still inside the post-initial-stop market-session lockdown.
+    """Compatibility wrapper for callers that only need blocked ticker ids."""
-
+    return set(
-    The market calendar is derived from stored OHLCV dates, not calendar days.
+        await get_reentry_lockdowns(
-    A stop on session D is released once five later stored sessions exist. Only
+            db,
-    an initial-stop close (``close_reason == "stop"``) starts the lockdown;
+            as_of=as_of,
-    trailing, target, time, and manual exits do not.
+            sessions=sessions,
-    """
-    sessions = max(0, int(sessions))
-    if sessions == 0:
-        return set()
-
-    session_cutoff = as_of or datetime.now(timezone.utc).date()
-    session_result = await db.execute(
-        select(OHLCVRecord.date)
-        .where(OHLCVRecord.date <= session_cutoff)
-        .distinct()
-        .order_by(OHLCVRecord.date.desc())
-        .limit(sessions)
         )
-    recent_sessions = [row[0] for row in session_result.all()]
-    if not recent_sessions:
-        return set()
-
-    # Stops on or after the oldest of the latest N sessions have fewer than N
-    # later completed sessions. Once that oldest session rolls forward, the
-    # corresponding stop automatically leaves the result set.
-    lockdown_threshold = min(recent_sessions)
-    threshold_start = datetime.combine(
-        lockdown_threshold,
-        time.min,
-        tzinfo=timezone.utc,
     )
-    result = await db.execute(
-        select(PaperTrade.ticker_id)
-        .where(
-            PaperTrade.status == "closed",
-            PaperTrade.close_reason == "stop",
-            PaperTrade.closed_at.is_not(None),
-            PaperTrade.closed_at >= threshold_start,
-        )
-        .distinct()
-    )
-    return {ticker_id for ticker_id, in result.all()}

frontend/src/components/ticker/RecommendationPanel.tsx

@@ -66,14 +66,19 @@ function entryDrift(setup: TradeSetup, currentPrice?: number) {
   return { pct, r, status };
 }
 
-/**
+type NotActionableState =
- * The only state with no tradeable setup left: price has gone through the stop.
+  | { kind: 'lockdown'; remainingSessions: number }
- * Returns null when there's no live price.
+  | { kind: 'invalidated' }
- */
+  | null;
+
 function notActionableState(setup: TradeSetup, currentPrice?: number) {
+  const remainingSessions = setup.reentry_lockdown_remaining_sessions ?? 0;
+  if (remainingSessions > 0) {
+    return { kind: 'lockdown', remainingSessions } satisfies NotActionableState;
+  }
   if (currentPrice == null) return null;
   if (entryDrift(setup, currentPrice)?.status !== 'invalidated') return null;
-  return { invalidated: true };
+  return { kind: 'invalidated' } satisfies NotActionableState;
 }
 
 function riskClass(risk: TradeSetup['risk_level']) {
@@ -218,9 +223,6 @@ function SetupCard({ setup, action, currentPrice, risk, regime, exitPolicy, sele
   const exitPlan = deriveExitPlan(setup, exitPolicy);
   const honorsTarget = exitPlan?.honorsTarget ?? false;
 
-  // Only price through the stop leaves no tradeable setup.
-  const notActionable = notActionableState(setup, currentPrice) != null;
-
   const createTrade = useCreatePaperTrade();
   const [taking, setTaking] = useState(false);
   const [takeShares, setTakeShares] = useState<number>(sizing?.shares ?? 0);
@@ -268,7 +270,27 @@ function SetupCard({ setup, action, currentPrice, risk, regime, exitPolicy, sele
     );
   };
 
-  if (notActionable) {
+  const inactiveState = notActionableState(setup, currentPrice);
+  if (inactiveState?.kind === 'lockdown') {
+    const remaining = inactiveState.remainingSessions;
+    return (
+      <div data-direction={setup.direction} className="rounded-xl border border-amber-400/20 bg-amber-400/[0.04] p-4">
+        <div className="flex flex-wrap items-center gap-2">
+          <DirTag direction={setup.direction} />
+          <span className="num text-[10px] uppercase tracking-[0.16em] text-amber-300">post-stop lockdown</span>
+          <span className="num ml-auto text-xs text-gray-500">
+            {remaining} market session{remaining === 1 ? '' : 's'} remaining
+          </span>
+        </div>
+        <p className="mt-2 text-[11.5px] leading-relaxed text-gray-400">
+          This setup remains visible for context but cannot be marked as taken. Once the lockdown expires,
+          the scanner recalculates the normal gate before it can become actionable again.
+        </p>
+      </div>
+    );
+  }
+
+  if (inactiveState?.kind === 'invalidated') {
     const dir = setup.direction.toUpperCase();
     return (
       <div data-direction={setup.direction} className="rounded-xl border border-white/[0.07] p-4">
@@ -617,7 +639,21 @@ export function RecommendationPanel({ symbol, longSetup, shortSetup, currentPric
         <div className="min-w-0">
           {preferredInactive ? (
             <span className="text-sm font-semibold text-gray-400">
-              No current setup <span className="font-normal text-gray-500">(last {preferredDirection} bias {recommendationActionLabel(action).toLowerCase()} — invalidated at the stop)</span>
+              {preferredInactive.kind === 'lockdown' ? (
+                <>
+                  Re-entry paused{' '}
+                  <span className="font-normal text-gray-500">
+                    ({preferredInactive.remainingSessions} market session{preferredInactive.remainingSessions === 1 ? '' : 's'} remaining after stop)
+                  </span>
+                </>
+              ) : (
+                <>
+                  No current setup{' '}
+                  <span className="font-normal text-gray-500">
+                    (last {preferredDirection} bias {recommendationActionLabel(action).toLowerCase()} — invalidated at the stop)
+                  </span>
+                </>
+              )}
             </span>
           ) : (() => {
             const reasoning = summary?.reasoning ?? '';

frontend/src/lib/qualification.ts

@@ -43,6 +43,7 @@ export function liveRiskReward(setup: TradeSetup, currentPrice: number): number
  * app/services/qualification.py — keep the two in sync.
  */
 export function qualifiesSetup(setup: TradeSetup, config: ActivationConfig): boolean {
+  if ((setup.reentry_lockdown_remaining_sessions ?? 0) > 0) return false;
   if (setup.rr_ratio < config.min_rr) return false;
   // Live R:R from current price — drops setups whose price has already run
   // toward target (reward consumed) or through the stop.
@@ -79,6 +80,10 @@ export function qualifiesSetup(setup: TradeSetup, config: ActivationConfig): boo
  * qualifiesSetup rule-for-rule (keep the order in sync).
  */
 export function disqualifyReason(setup: TradeSetup, config: ActivationConfig): string | null {
+  const lockdownRemaining = setup.reentry_lockdown_remaining_sessions ?? 0;
+  if (lockdownRemaining > 0) {
+    return `post-stop lockdown · ${lockdownRemaining} session${lockdownRemaining === 1 ? '' : 's'} remaining`;
+  }
   if (setup.rr_ratio < config.min_rr) {
     return `R:R ${setup.rr_ratio.toFixed(1)} below gate ${config.min_rr.toFixed(1)}`;
   }

frontend/src/lib/types.ts

@@ -144,6 +144,7 @@ export interface TradeSetup {
   momentum_percentile?: number | null;
   strategy_rank?: number | null;
   volatility_percentile?: number | null;
+  reentry_lockdown_remaining_sessions?: number | null;
   context_as_of?: TradeSetupContextAsOf | null;
   recommendation_summary?: RecommendationSummary;
 }

scripts/run_gate_protected_stop_study.py

@@ -330,7 +330,7 @@ async def _main() -> None:
         benchmark_closes,
         exit_policy,
         hold_days,
-        reentry_cooldown_days=5,
+        reentry_cooldown_sessions=5,
         **sim_kwargs,
     )
     cooldown_10 = bt._simulate_portfolio(
@@ -339,7 +339,7 @@ async def _main() -> None:
         benchmark_closes,
         exit_policy,
         hold_days,
-        reentry_cooldown_days=10,
+        reentry_cooldown_sessions=10,
         **sim_kwargs,
     )
     refresher = GateStopRefresher(

tests/unit/test_backtest_service.py

@@ -590,19 +590,47 @@ class TestSimulatePortfolio:
             None,
             "hold",
             30,
-            reentry_cooldown_days=5,
+            reentry_cooldown_sessions=5,
         )
 
         assert baseline is not None and baseline["trades"] == 2
         assert cooldown is not None and cooldown["trades"] == 1
         assert cooldown["skipped_cooldown"] == 1
-        assert cooldown["reentry_cooldown_days"] == 5
+        assert cooldown["reentry_cooldown_sessions"] == 5
+
+    def test_initial_stop_cooldown_unlocks_exactly_after_session_five(self):
+        closes = [100.0, 94.0, 96.0, 96.0, 96.0, 96.0, 97.0, 98.0]
+        prices = {"AAA": _sim_prices(self.ORD, closes)}
+        candidates = [
+            _sim_cand("AAA", self.ORD, entry=100.0, stop=95.0, target=120.0),
+            # Four completed sessions since the stop: still locked.
+            _sim_cand("AAA", self.ORD + 5, entry=96.0, stop=90.0, target=115.0),
+            # Five completed sessions since the stop: first permitted re-entry.
+            _sim_cand("AAA", self.ORD + 6, entry=97.0, stop=90.0, target=118.0),
+        ]
+
+        sim = bt._simulate_portfolio(
+            candidates,
+            prices,
+            None,
+            "hold",
+            30,
+            reentry_cooldown_sessions=5,
+            include_trades=True,
+        )
+
+        assert sim is not None
+        assert sim["trades"] == 2
+        assert sim["skipped_cooldown"] == 1
+        assert sim["trade_details"][1]["entry_date"] == date.fromordinal(
+            self.ORD + 6
+        ).isoformat()
 
     def test_production_monitor_applies_live_reentry_lockdown(self, monkeypatch):
         def fake_simulator(*_args, **kwargs):
             return {
                 "trades": 0,
-                "applied_reentry_lockdown": kwargs.get("reentry_cooldown_days", 0),
+                "applied_reentry_lockdown": kwargs.get("reentry_cooldown_sessions", 0),
             }
 
         monkeypatch.setattr(bt, "_simulate_portfolio", fake_simulator)

tests/unit/test_paper_trade_service.py

@@ -48,6 +48,74 @@ async def test_create_and_list_open(session):
     assert row["current_price"] == 110.0  # marked to the latest close
 
 
+async def test_create_trade_enforces_post_stop_lockdown_at_service_boundary(session):
+    blocked_id = await _seed(session, "LOCKQ", close=100.0)
+    released_id = await _seed(session, "FREEQ", close=100.0)
+    today = date.today()
+    market_sessions = [
+        today - timedelta(days=8),
+        today - timedelta(days=7),
+        today - timedelta(days=6),
+        today - timedelta(days=3),
+        today - timedelta(days=2),
+        today - timedelta(days=1),
+    ]
+    for market_date in market_sessions:
+        session.add(BenchmarkPrice(symbol="SPY", date=market_date, close=400.0))
+
+    def stopped_trade(ticker_id: int, closed_on: date) -> PaperTrade:
+        return PaperTrade(
+            user_id=1,
+            ticker_id=ticker_id,
+            direction="long",
+            entry_price=100.0,
+            shares=10.0,
+            stop_loss=95.0,
+            target=115.0,
+            status="closed",
+            opened_at=datetime.combine(
+                closed_on - timedelta(days=1), datetime.min.time(), tzinfo=timezone.utc
+            ),
+            close_price=95.0,
+            closed_at=datetime.combine(
+                closed_on, datetime.min.time(), tzinfo=timezone.utc
+            ),
+            close_reason="stop",
+        )
+
+    session.add_all(
+        [
+            stopped_trade(blocked_id, market_sessions[1]),
+            stopped_trade(released_id, market_sessions[0]),
+        ]
+    )
+    await session.commit()
+
+    with pytest.raises(ValidationError, match="1 market session remaining"):
+        await svc.create_trade(
+            session,
+            1,
+            symbol="LOCKQ",
+            direction="long",
+            entry_price=100.0,
+            shares=10.0,
+            stop_loss=95.0,
+            target=115.0,
+        )
+
+    trade = await svc.create_trade(
+        session,
+        1,
+        symbol="FREEQ",
+        direction="long",
+        entry_price=100.0,
+        shares=10.0,
+        stop_loss=95.0,
+        target=115.0,
+    )
+    assert trade.ticker_id == released_id
+
+
 async def test_close_uses_current_price(session):
     await _seed(session, "AAA", close=112.0)
     trade = await svc.create_trade(session, 1, symbol="AAA", direction="long",

tests/unit/test_rr_scanner_preservation.py

@@ -20,6 +20,7 @@ from hypothesis import given, settings, HealthCheck, strategies as st
 from sqlalchemy import func, select
 from sqlalchemy.ext.asyncio import AsyncSession
 
+from app.models.benchmark_price import BenchmarkPrice
 from app.models.ohlcv import OHLCVRecord
 from app.models.paper_trade import PaperTrade
 from app.models.signal_context_snapshot import SignalContextSnapshot
@@ -625,14 +626,30 @@ async def test_get_trade_setups_applies_five_session_initial_stop_lockdown(
     db_session.add_all([blocked, released, trailing])
     await db_session.flush()
 
-    # Six synthetic stored market sessions D0..D5. A stop on D0 has five
+    # Six SPY sessions D0..D5 form the canonical market calendar. A stop on
-    # later sessions and is released; a stop on D1 has only four and is not.
+    # D0 has five later sessions and is released; a stop on D1 has only four.
-    market_sessions = [today - timedelta(days=offset) for offset in range(5, -1, -1)]
+    market_sessions = [
+        today - timedelta(days=8),
+        today - timedelta(days=7),
+        today - timedelta(days=6),
+        today - timedelta(days=3),
+        today - timedelta(days=2),
+        today - timedelta(days=1),
+    ]
     for market_date in market_sessions:
+        db_session.add(
+            BenchmarkPrice(
+                symbol="SPY",
+                date=market_date,
+                close=400.0,
+            )
+        )
+    # A bar from an unrelated/scanner-specific calendar must not release the
+    # ticker one session early. The old universe-wide DISTINCT query did.
     db_session.add(
         OHLCVRecord(
             ticker_id=blocked.id,
-                date=market_date,
+            date=today,
             open=100.0,
             high=101.0,
             low=99.0,
@@ -699,6 +716,14 @@ async def test_get_trade_setups_applies_five_session_initial_stop_lockdown(
     assert "STOP4" not in available_symbols
     assert {"STOP5", "TRAILQ"}.issubset(available_symbols)
 
+    annotated = await get_trade_setups(
+        db_session,
+        symbol="STOP4",
+        include_reentry_lockdown=True,
+    )
+    assert len(annotated) == 1
+    assert annotated[0]["reentry_lockdown_remaining_sessions"] == 1
+
 
 async def _seed_stale_setup_with_current_scores(db_session: AsyncSession) -> TradeSetup:
     """Stored setup frozen at scan time (conf 82, neutral) vs. current context