signal_log: weight-research data points, scan_outcomes forward labels, watch provenance

New additive columns on every logged scan: bar_ts (primary closed-bar label, indexed with
timeframe), engine_fingerprint (hash of the scoring config incl. the regime weight table in
force - SignalAggregator.engine_config_fingerprint, twin of the gate fingerprint), code_version
(short git SHA), penalty_tags_json / penalty_total / momentum_fading / exhaustion_count, and
post-hoc watch_level / watch_kinds / watch_line written by violent_watch.attach_watch via
signal_log.update_watch. Each indicators_json entry now also carries eff_weight (base weight x
regime multiplier, the weight the composite actually used) and wscore.

engine: IndicatorSignal.effective_weight / weighted_score are stamped inside _compute_composite
(record-keeping only); regime_weight_table(config) is the single source of truth for the
multiplier table (override honoured). Composite output byte-identical (120-report hash proof).

New table scan_outcomes: model-free forward moves per scan (fwd_1h/4h/24h in $ and ATRs,
mfe/mae over 24h, burst_1h, bars_used, complete) measured on the stored candle stream with the
advisory model's continuity rule; labelled opportunistically at the end of log() (time-boxed,
throttled, idempotent) - no daemon; scripts/label_scan_outcomes.py drives the backlog
(--dry-run is read-only). analyze_signal_log --scan-outcomes: forward move + hit rate by
TF x signal/grade with a NEUTRAL baseline and burst rate by watch level. Readers dedup by the
first row per (timeframe, bar_ts).

Module 31 (10 tests). Suite: 463 passed. Backtester untouched (test-locked).

Claude-Session: https://claude.ai/code/session_01RWV2yLt3YXHHGVYHSQU2EE

signal_log.py

@@ -56,6 +56,29 @@ or news_engine) so this module stays at the bottom of the import graph.
   (``scan`` / ``blocked`` for weekend/day early returns, which carry no
   news or candles) and ``config_fingerprint`` (hash of the gate config the
   producing process ran with — surfaces config drift between processes).
+
+2026-09 weight-research additions:
+
+* Row columns ``bar_ts`` (the primary bar LABEL this scan closed on,
+  stored verbatim so it joins to indicators_json), ``engine_fingerprint``
+  (hash of the SCORING config — indicator params, thresholds, regime
+  weight multipliers, timeframes), ``code_version`` (short git SHA),
+  ``penalty_tags_json`` / ``penalty_total`` / ``momentum_fading`` /
+  ``exhaustion_count`` (the decay/exhaustion record), and the post-hoc
+  ``watch_level`` / ``watch_kinds`` / ``watch_line`` written by
+  ``update_watch`` from violent_watch.attach_watch.
+* Every per-indicator entry in ``indicators_json`` also carries
+  ``eff_weight`` (base weight x regime multiplier — the weight the
+  composite actually used) and ``wscore`` (its contribution). Both are
+  null for indicators the composite skipped. Divergence and candlestick
+  entries exist only when they fire: absence is "no vote", not zero.
+* Table ``scan_outcomes`` — model-free forward returns per scan
+  (1/4/24 h, $ and ATR-normalized, plus MFE/MAE, a 3xATR burst flag and
+  a completeness flag), labelled from the stored candle streams by
+  ``label_scan_outcomes`` (called opportunistically at the end of log(),
+  time-boxed; batch driver: scripts/label_scan_outcomes.py). Readers
+  must dedup by the FIRST row per (timeframe, bar_ts) — several surfaces
+  log the same bar.
 """
 
 import hashlib
@@ -64,9 +87,10 @@ import logging
 import math
 import os
 import sqlite3
+import subprocess
 import threading
 import time
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from typing import Any, Dict, Iterable, List, Optional, Tuple
 
 import app_config
@@ -74,8 +98,13 @@ from advisory_outcome import (
     advance_outcome,
     canonical_r,
     initial_outcome,
+    normalize_timeframe,
     timeframe_value,
 )
+# Private on purpose — the scan-outcome labeller must apply EXACTLY the
+# advisory model's bar validation and scheduled-closure rule (NY-anchored
+# weekend + the daily 17:00 NY maintenance hour), never a second copy.
+from advisory_outcome import _TF_SECONDS, _has_continuity, _valid_bars
 
 logger = logging.getLogger(__name__)
 
@@ -128,6 +157,27 @@ CREATE TABLE IF NOT EXISTS news_snapshots (
     first_seen TEXT NOT NULL,
     last_seen TEXT
 );
+CREATE TABLE IF NOT EXISTS scan_outcomes (
+    signal_id INTEGER PRIMARY KEY REFERENCES signals(id),
+    timeframe TEXT,
+    bar_ts TEXT,
+    atr REAL,
+    close0 REAL,
+    fwd_1h REAL,
+    fwd_4h REAL,
+    fwd_24h REAL,
+    fwd_1h_atr REAL,
+    fwd_4h_atr REAL,
+    fwd_24h_atr REAL,
+    mfe_24h_atr REAL,
+    mae_24h_atr REAL,
+    burst_1h INTEGER,
+    bars_used INTEGER,
+    complete INTEGER,
+    labeled_at TEXT
+);
+CREATE INDEX IF NOT EXISTS idx_scan_outcomes_tf_bar
+    ON scan_outcomes (timeframe, bar_ts);
 CREATE TABLE IF NOT EXISTS outlooks (
     id INTEGER PRIMARY KEY AUTOINCREMENT,
     logged_at TEXT NOT NULL,
@@ -170,6 +220,18 @@ _ADDITIVE_SIGNAL_COLS = (
     ("scan_kind", "TEXT"),
     ("config_fingerprint", "TEXT"),
     ("panel_verdict_source", "TEXT"),
+    # 2026-09 weight-research columns (see module docstring).
+    ("bar_ts", "TEXT"),
+    ("engine_fingerprint", "TEXT"),
+    ("code_version", "TEXT"),
+    ("penalty_tags_json", "TEXT"),
+    ("penalty_total", "REAL"),
+    ("momentum_fading", "INTEGER"),
+    ("exhaustion_count", "INTEGER"),
+    # Violent-move watch, written post-hoc by update_watch.
+    ("watch_level", "TEXT"),
+    ("watch_kinds", "TEXT"),
+    ("watch_line", "TEXT"),
 )
 
 # Read-side compatibility view `signals_with_news`: legacy rows keep
@@ -203,6 +265,28 @@ _GATE_PREFIXES = (
 )
 _ACTIONABLE_GRADES = ("A+", "A", "B", "C")
 
+# ── Scan outcomes (forward returns for indicator-weight research) ─────
+# Horizons are CALENDAR hours from the signal bar's close; a bar label is
+# its OPEN time, so the bar closing at label+interval is the one counted.
+SCAN_OUTCOME_HORIZONS_H = (1, 4, 24)
+SCAN_OUTCOME_WINDOW_H = 24
+# A 24 h window can only be judged once it has elapsed; the extra hour
+# leaves room for the last bar of the window to be stored.
+SCAN_LABEL_MIN_AGE_H = 25
+# Missing bars tolerated inside a window ON TOP of the scheduled closures
+# advisory_outcome._has_continuity already allows.
+SCAN_LABEL_MAX_GAP_BARS = 3
+# "Burst" bar: range >= this multiple of the scan's ATR (violent_watch).
+SCAN_BURST_ATR_MULTIPLE = 3.0
+# Soft wall-clock cap for ONE opportunistic (in-scan) labelling pass.
+SCAN_LABEL_TIME_BUDGET = 2.0
+# Minimum spacing between opportunistic passes in ONE process. Rows that
+# can never complete (a real hole in the stored stream) are re-examined
+# on every pass, and that read costs ~0.5 s on the live database — too
+# much to pay on the alert path for every logged scan, and pointless more
+# often than a candle close. Explicit calls (batch script, tests) ignore it.
+SCAN_LABEL_MIN_INTERVAL = 60.0
+
 _ADDITIVE_OUTLOOK_COLS = (
     ("news_json", "TEXT"),
     ("indicators_json", "TEXT"),
@@ -220,6 +304,8 @@ _SIGNAL_INSERT_COLS = (
     "setup_key", "headlines_hash", "events_hash", "gate_reason",
     "actionable", "cleaned_warnings_json", "bar_range_median", "scan_kind",
     "config_fingerprint",
+    "bar_ts", "engine_fingerprint", "code_version", "penalty_tags_json",
+    "penalty_total", "momentum_fading", "exhaustion_count",
 )
 _INSERT = (
     "INSERT INTO signals (" + ", ".join(_SIGNAL_INSERT_COLS) + ") VALUES ("
@@ -263,6 +349,30 @@ def _blob_hash(text: str) -> str:
     return hashlib.sha256(text.encode("utf-8")).hexdigest()
 
 
+_code_version_cache: Optional[str] = None
+
+
+def _code_version() -> str:
+    """Short git SHA of the tree this process runs from (computed once).
+
+    Record-keeping only — "" whenever git is unavailable, slow (2 s cap)
+    or the tree is not a checkout. There is no VERSION/__version__
+    convention in this repo, so the commit is the version."""
+    global _code_version_cache
+    if _code_version_cache is None:
+        _code_version_cache = ""
+        try:
+            done = subprocess.run(
+                ["git", "rev-parse", "--short", "HEAD"],
+                cwd=os.path.dirname(os.path.abspath(__file__)),
+                capture_output=True, text=True, timeout=2.0)
+            if done.returncode == 0:
+                _code_version_cache = done.stdout.strip()
+        except Exception:
+            logger.debug("signal_log: code version unavailable", exc_info=True)
+    return _code_version_cache
+
+
 def setup_key(setup: Optional[Dict[str, Any]], timeframe: Any) -> Optional[str]:
     """Identity of a logged trade setup for event dedup.
 
@@ -310,6 +420,118 @@ def gate_reason(
     return None
 
 
+_SCAN_OUTCOME_COLS = (
+    "timeframe", "bar_ts", "atr", "close0",
+    "fwd_1h", "fwd_4h", "fwd_24h",
+    "fwd_1h_atr", "fwd_4h_atr", "fwd_24h_atr",
+    "mfe_24h_atr", "mae_24h_atr", "burst_1h", "bars_used", "complete",
+)
+_SCAN_OUTCOME_INSERT = (
+    "INSERT OR REPLACE INTO scan_outcomes (signal_id, "
+    + ", ".join(_SCAN_OUTCOME_COLS) + ", labeled_at) VALUES ("
+    + ", ".join("?" for _ in range(len(_SCAN_OUTCOME_COLS) + 2)) + ")"
+)
+
+
+def _utc(stamp: datetime) -> datetime:
+    """Tz-aware UTC (stored bar labels are UTC; a naive one is assumed)."""
+    if stamp.tzinfo is None:
+        return stamp.replace(tzinfo=timezone.utc)
+    return stamp.astimezone(timezone.utc)
+
+
+def _window_continuous(bars: List[Dict[str, Any]], anchor: datetime,
+                       timeframe: Any,
+                       max_gap_bars: int = SCAN_LABEL_MAX_GAP_BARS) -> bool:
+    """True when ``bars`` walk forward from ``anchor`` without a real hole.
+
+    The scheduled-closure judgement is advisory_outcome._has_continuity's
+    (NY-anchored weekend + the daily maintenance hour) applied one step at
+    a time; on top of it a gap of at most ``max_gap_bars`` missing bars is
+    tolerated, because a scan-outcome window is measured from closes, not
+    replayed bar by bar like an advisory trade."""
+    seconds = _TF_SECONDS.get(normalize_timeframe(timeframe))
+    if not seconds:
+        return False
+    previous = anchor
+    for bar in bars:
+        stamp = bar["_timestamp"]
+        if stamp <= previous:
+            continue
+        if not _has_continuity([bar], previous, timeframe):
+            missing = int((stamp - previous).total_seconds() // seconds) - 1
+            if missing > max_gap_bars:
+                return False
+        previous = stamp
+    return True
+
+
+def scan_outcome(bar_ts: Any, timeframe: Any, bars: Iterable[Dict[str, Any]],
+                 atr: Optional[float], price: Optional[float]
+                 ) -> Optional[Dict[str, Any]]:
+    """Forward-return label for ONE scan, from stored closed candles.
+
+    ``bars`` is the union of stored bars for the row's primary timeframe.
+    ``close0`` is the close of the bar labelled ``bar_ts`` (the row's own
+    last closed bar), falling back to the logged scan price. A horizon is
+    reported only once it has ELAPSED inside the stream (an unfinished
+    window reports NULLs rather than a truncated move), and ``complete``
+    additionally requires an unbroken window. Pure: no DB, no clock."""
+    seconds = _TF_SECONDS.get(normalize_timeframe(timeframe))
+    anchor = None
+    try:
+        anchor = _utc(datetime.fromisoformat(str(bar_ts).replace(" ", "T")))
+    except (TypeError, ValueError):
+        anchor = None
+    if not seconds or anchor is None:
+        return None
+
+    valid = _valid_bars(bars)
+    for bar in valid:
+        bar["_timestamp"] = _utc(bar["_timestamp"])
+    close0 = next((b["close"] for b in valid if b["_timestamp"] == anchor),
+                  None)
+    if close0 is None:
+        close0 = _finite(price)
+    if close0 is None:
+        return None
+    atr = atr if (atr is not None and atr > 0) else None
+
+    forward = [b for b in valid if b["_timestamp"] > anchor]
+    reach = forward[-1]["_timestamp"] if forward else anchor
+    out: Dict[str, Any] = {
+        "timeframe": str(getattr(timeframe, "value", timeframe)),
+        "bar_ts": str(bar_ts), "atr": atr, "close0": close0,
+        "mfe_24h_atr": None, "mae_24h_atr": None, "burst_1h": None,
+    }
+    window: List[Dict[str, Any]] = []
+    for hours in SCAN_OUTCOME_HORIZONS_H:
+        edge = anchor + timedelta(hours=hours)
+        upto = [b for b in forward if b["_timestamp"] <= edge]
+        elapsed = reach >= edge and bool(upto)
+        move = (upto[-1]["close"] - close0) if elapsed else None
+        out[f"fwd_{hours}h"] = move
+        out[f"fwd_{hours}h_atr"] = (move / atr) if (move is not None and atr) \
+            else None
+        if hours == 1 and elapsed and atr:
+            out["burst_1h"] = int(any(
+                (b["high"] - b["low"]) >= SCAN_BURST_ATR_MULTIPLE * atr
+                for b in upto))
+        if hours == SCAN_OUTCOME_WINDOW_H:
+            window = upto
+            if elapsed and atr:
+                out["mfe_24h_atr"] = (max(b["high"] for b in upto)
+                                      - close0) / atr
+                out["mae_24h_atr"] = (close0
+                                      - min(b["low"] for b in upto)) / atr
+    complete = (reach >= anchor + timedelta(hours=SCAN_OUTCOME_WINDOW_H)
+                and bool(window)
+                and _window_continuous(window, anchor, timeframe))
+    out["bars_used"] = len(window)
+    out["complete"] = int(complete)
+    return out
+
+
 # ── Serializers (duck-typed; deliberately NOT imported from            ──
 # ── dashboard_publisher — the dashboard's hard independence rule)      ──
 
@@ -396,7 +618,12 @@ def _analysis_to_dict(analysis: Any) -> Optional[Dict[str, Any]]:
             "signal": getattr(signal, "name", str(signal)),
             "value": _finite(getattr(indicator, "value", None)),
             "confidence": _finite(getattr(indicator, "confidence", None)),
+            # `weight` is the BASE weight; `eff_weight` is that weight
+            # times the regime multiplier the composite actually used and
+            # `wscore` its contribution (null for skipped indicators).
             "weight": _finite(getattr(indicator, "weight", None)),
+            "eff_weight": _finite(getattr(indicator, "effective_weight", None)),
+            "wscore": _finite(getattr(indicator, "weighted_score", None)),
             "description": getattr(indicator, "description", "") or "",
         }
     composite = getattr(analysis, "composite_signal", None)
@@ -510,6 +737,11 @@ def _report_row(
     cleaned = list(getattr(report, "cleaned_warnings", None) or [])
     setup_dict = json.loads(setup_json) if setup_json else None
     bar_range = _finite(getattr(report, "spread_estimate", None))
+    # The primary bar LABEL this scan closed on, stored verbatim (the
+    # same string indicators_json carries, so readers can join on it).
+    primary = getattr(report, "primary_analysis", None)
+    bar_ts = str(getattr(primary, "timestamp", "") or "") or None
+    penalty_tags = getattr(report, "penalty_tags", None) or {}
     return {
         "logged_at": datetime.now(timezone.utc).isoformat(),
         "source": source,
@@ -554,6 +786,17 @@ def _report_row(
         "bar_range_median": bar_range,
         "scan_kind": str(extra.get("scan_kind") or "scan"),
         "config_fingerprint": extra.get("config_fingerprint"),
+        # Weight-research record keeping (nothing live reads these back).
+        "bar_ts": bar_ts,
+        "engine_fingerprint": extra.get("engine_fingerprint"),
+        "code_version": _code_version() or None,
+        "penalty_tags_json": (_dumps({str(k): _finite(v)
+                                      for k, v in penalty_tags.items()})
+                              if penalty_tags else None),
+        "penalty_total": _finite(getattr(report, "penalty_total", None)),
+        "momentum_fading": int(bool(getattr(report, "momentum_fading", False))),
+        "exhaustion_count": int(
+            _finite(getattr(report, "exhaustion_count", 0)) or 0),
     }
 
 
@@ -573,6 +816,7 @@ class SignalLogger:
         # switch plus the additive migration need brief exclusive locks.
         self._conn.execute("PRAGMA busy_timeout=5000")
         self._lock = threading.Lock()
+        self._next_scan_label = 0.0   # opportunistic labeller throttle
         with self._lock:
             self._with_lock_retry(
                 lambda: self._conn.execute("PRAGMA journal_mode=WAL"))
@@ -642,6 +886,11 @@ class SignalLogger:
         self._conn.execute(
             "CREATE INDEX IF NOT EXISTS idx_signals_event"
             " ON signals (advisory_event_id)")
+        # bar_ts is an additive column, so its index cannot live in
+        # _SCHEMA (which runs before the ALTERs on a legacy database).
+        self._conn.execute(
+            "CREATE INDEX IF NOT EXISTS idx_signals_tf_bar"
+            " ON signals (timeframe, bar_ts)")
         self._conn.commit()
 
     def _migrate_outlook_columns(self) -> None:
@@ -703,6 +952,17 @@ class SignalLogger:
         except Exception:
             logger.warning("signal_log: advisory outcome resolver failed",
                            exc_info=True)
+        # Opportunistic, time-boxed and throttled: the same "advance what
+        # the stored bars now allow" pass, for scan outcomes. Keeps the
+        # research table current without a daemon or a cron entry.
+        try:
+            if time.monotonic() >= self._next_scan_label:
+                self._next_scan_label = (time.monotonic()
+                                         + SCAN_LABEL_MIN_INTERVAL)
+                self.label_scan_outcomes()
+        except Exception:
+            logger.warning("signal_log: scan-outcome labeller failed",
+                           exc_info=True)
         return rowid
 
     # ── news interning ────────────────────────────────────────────
@@ -822,6 +1082,26 @@ class SignalLogger:
                  advisory_status, advisory_json, rowid))
             self._conn.commit()
 
+    def update_watch(self, rowid: int, level: str, kinds: Any,
+                     line: str) -> None:
+        """Fill the violent-move watch fields on an already-logged row.
+
+        Post-hoc writer mirroring update_panel: violent_watch.attach_watch
+        runs on the surfaces AFTER analyze_pair inserted the row. Level and
+        kinds are written even when the display line is switched off — the
+        evaluation ("did a burst follow a 'hot' scan?") needs the
+        assessment, not the text."""
+        if isinstance(kinds, (list, tuple, set)):
+            kinds_text = ",".join(str(k) for k in sorted(kinds))
+        else:
+            kinds_text = str(kinds or "")
+        with self._lock:
+            self._conn.execute(
+                "UPDATE signals SET watch_level=?, watch_kinds=?,"
+                " watch_line=? WHERE id=?",
+                (str(level or ""), kinds_text, str(line or ""), int(rowid)))
+            self._conn.commit()
+
     def resolve_pending(
         self, symbol: str, candles_json: Optional[str], limit: int = 100
     ) -> int:
@@ -927,6 +1207,90 @@ class SignalLogger:
                     continue
         return [bars[k] for k in sorted(bars)]
 
+    def label_scan_outcomes(self, budget: int = 150, now: Any = None,
+                            time_budget: Optional[float] = None) -> int:
+        """Label forward returns for scans whose 24 h window has closed.
+
+        Candidates are rows that carry indicator snapshots (a real scan)
+        and a price, whose signal bar closed more than 25 h ago and which
+        have no COMPLETE label yet; the least recently labelled go first,
+        so a permanently short stream can never starve the rest. Returns
+        the number of rows actually WRITTEN — a row whose numbers did not
+        change is skipped, which makes repeated passes idempotent and lets
+        a batch driver stop at 0.
+
+        Bounded on purpose: at most ``budget`` candidates are examined and
+        the pass stops after ``time_budget`` seconds (default 2 s) so the
+        opportunistic call inside log() stays cheap. Per-row failures are
+        logged and skipped."""
+        moment = now or datetime.now(timezone.utc)
+        cutoff = _utc(moment) - timedelta(hours=SCAN_LABEL_MIN_AGE_H)
+        deadline = time.monotonic() + float(
+            SCAN_LABEL_TIME_BUDGET if time_budget is None else time_budget)
+        written = 0
+        with self._lock:
+            rows = self._conn.execute(
+                "SELECT s.id, s.symbol, s.timeframe, s.price,"
+                " COALESCE(s.bar_ts, json_extract(s.indicators_json,"
+                " '$.\"' || s.timeframe || '\".timestamp')) AS bar,"
+                " json_extract(s.indicators_json,"
+                " '$.\"' || s.timeframe || '\".key_levels.atr') AS atr"
+                " FROM signals s"
+                " LEFT JOIN scan_outcomes o ON o.signal_id = s.id"
+                " WHERE s.indicators_json IS NOT NULL AND s.price > 0"
+                " AND (o.signal_id IS NULL OR o.complete = 0)"
+                " AND bar IS NOT NULL"
+                " ORDER BY COALESCE(o.labeled_at, '') ASC, s.id ASC"
+                " LIMIT ?", (int(budget),)).fetchall()
+            # One bar stream per (symbol, timeframe) for the whole batch,
+            # built from the OLDEST bar in it — _stream_since is a scan
+            # over every row logged since that bar, far too expensive to
+            # repeat per candidate.
+            due: List[Tuple[Any, ...]] = []
+            oldest: Dict[Tuple[str, str], Tuple[datetime, str]] = {}
+            for rowid, symbol, tf, price, bar, atr in rows:
+                try:
+                    stamp = _utc(datetime.fromisoformat(
+                        str(bar).replace(" ", "T")))
+                except (TypeError, ValueError):
+                    continue
+                if stamp > cutoff:
+                    continue              # window has not elapsed yet
+                key = (str(symbol), str(tf))
+                if key not in oldest or stamp < oldest[key][0]:
+                    oldest[key] = (stamp, str(bar))
+                due.append((rowid, symbol, tf, price, bar, atr, key))
+            streams: Dict[Tuple[str, str], List[Dict[str, Any]]] = {}
+            for rowid, symbol, tf, price, bar, atr, key in due:
+                if time.monotonic() > deadline:
+                    break
+                try:
+                    if key not in streams:
+                        streams[key] = self._stream_since(
+                            symbol, tf, oldest[key][1])
+                    label = scan_outcome(bar, tf, streams[key],
+                                         _finite(atr), price)
+                    if label is None:
+                        continue
+                    values = tuple(label[col] for col in _SCAN_OUTCOME_COLS)
+                    prior = self._conn.execute(
+                        "SELECT " + ", ".join(_SCAN_OUTCOME_COLS)
+                        + " FROM scan_outcomes WHERE signal_id=?",
+                        (rowid,)).fetchone()
+                    if prior is not None and tuple(prior) == values:
+                        continue
+                    self._conn.execute(
+                        _SCAN_OUTCOME_INSERT,
+                        (int(rowid),) + values
+                        + (datetime.now(timezone.utc).isoformat(),))
+                    self._conn.commit()
+                    written += 1
+                except Exception:
+                    logger.warning(
+                        "signal_log: scan-outcome labelling failed for row %s",
+                        rowid, exc_info=True)
+        return written
+
     def advance_with_bars(self, rowid: int, bars: Iterable[Dict[str, Any]],
                           evidence: str = "external_bars") -> str:
         """Advance ONE pending outcome from caller-supplied bars (backfill
@@ -1222,6 +1586,31 @@ def log_panel_update(report: Any) -> None:
                        exc_info=True)
 
 
+def log_watch_update(report: Any, watch: Any) -> None:
+    """Write the post-hoc violent-move watch fields onto this scan's row.
+
+    Mirrors log_panel_update: matches on the private rowid hand-off from
+    log_signal, and a report that was never logged (backtest replay,
+    logging disabled, another process) is a silent no-op. NEVER raises."""
+    try:
+        rowid = getattr(report, "_signal_log_rowid", None)
+        if rowid is None or not app_config.signal_log_enabled():
+            return
+        path = app_config.signal_log_path()
+        with _loggers_lock:
+            lg = _loggers.get(path)
+        if lg is None:
+            return
+        lg.update_watch(
+            int(rowid),
+            str(getattr(watch, "level", "") or ""),
+            getattr(watch, "kinds", None) or [],
+            getattr(report, "watch_line", "") or "")
+    except Exception:
+        logger.warning("signal_log: failed to persist violent-move watch",
+                       exc_info=True)
+
+
 def log_outlook(outlook: Any, surface: str = "live",
                 payload: Any = None) -> None:
     """Persist one advisory outlook when signal logging is enabled.