diff --git a/deploy/systemd/momentum-premarket-eval.service b/deploy/systemd/momentum-premarket-eval.service
new file mode 100644
index 0000000..c104bd8
--- /dev/null
+++ b/deploy/systemd/momentum-premarket-eval.service
@@ -0,0 +1,10 @@
+[Unit]
+Description=Momentum premarket (pm1) shadow track rebuild + re-validate
+
+[Service]
+Type=oneshot
+WorkingDirectory=/mnt/c/code/momentum
+# DATABASE_URL loads from the repo's gitignored .env via research.premarket_eval (python-dotenv)
+ExecStart=/home/philip/.venvs/momentum/bin/python -m research.premarket_eval
+StandardOutput=append:/mnt/c/code/momentum/data/premarket_eval.log
+StandardError=append:/mnt/c/code/momentum/data/premarket_eval.log
diff --git a/deploy/systemd/momentum-premarket-eval.timer b/deploy/systemd/momentum-premarket-eval.timer
new file mode 100644
index 0000000..adb1a80
--- /dev/null
+++ b/deploy/systemd/momentum-premarket-eval.timer
@@ -0,0 +1,10 @@
+[Unit]
+Description=Weekday-evening rebuild + re-validate of the premarket (pm1) shadow track
+
+[Timer]
+# after each trading day's premarket data is ingested; Persistent catches missed runs (reboots)
+OnCalendar=Mon-Fri *-*-* 20:00:00
+Persistent=true
+
+[Install]
+WantedBy=timers.target
diff --git a/momentum-premarket-eval.service b/momentum-premarket-eval.service
new file mode 100644
index 0000000..c104bd8
--- /dev/null
+++ b/momentum-premarket-eval.service
@@ -0,0 +1,10 @@
+[Unit]
+Description=Momentum premarket (pm1) shadow track rebuild + re-validate
+
+[Service]
+Type=oneshot
+WorkingDirectory=/mnt/c/code/momentum
+# DATABASE_URL loads from the repo's gitignored .env via research.premarket_eval (python-dotenv)
+ExecStart=/home/philip/.venvs/momentum/bin/python -m research.premarket_eval
+StandardOutput=append:/mnt/c/code/momentum/data/premarket_eval.log
+StandardError=append:/mnt/c/code/momentum/data/premarket_eval.log
diff --git a/research/premarket_eval.py b/research/premarket_eval.py
new file mode 100644
index 0000000..1d30420
--- /dev/null
+++ b/research/premarket_eval.py
@@ -0,0 +1,72 @@
+"""Accumulate-then-re-validate the premarket (pm1) shadow track.
+
+The pre-registered verdict on 2026-07-01 was PROMISING-BUT-UNDERPOWERED: the forward moves are
+REAL (avg +11-14% upside, unlike the RTH levers' tight-stop artifacts) but n=21 is far too small
+for the +1R Wilson bound to conclude. The live loop ingests premarket bars every trading day, so
+this job rebuilds pm1 from the (growing) DB and appends a timestamped metrics row to a history
+file. Run it on a schedule (systemd timer) or by hand; watch `n` climb and the Wilson LB tighten
+until the locked bar is decisively cleared or failed.
+
+  python -m research.premarket_eval
+"""
+
+import os
+from datetime import datetime, timezone
+
+from dotenv import load_dotenv
+
+from research import labeler
+from research.multi_schema import open_research_db
+
+load_dotenv(os.path.join(os.path.dirname(__file__), "..", ".env"))
+
+HIST = os.path.join(os.path.dirname(__file__), "..", "data", "premarket_eval_history.tsv")
+_HEADER = "utc_ts\tn\tdays\trate_1r\twilson_lb\tmedian_up_60m\tmedian_dd_60m\tbig_gap_1r\tpassed\n"
+
+
+def _metrics(con) -> dict:
+    rows = con.execute(
+        "SELECT l.max_upside_next_60m, l.max_drawdown_next_60m, "
+        "CASE WHEN l.reached_1r_before_minus_1r THEN 1 ELSE 0 END, se.gap_pct "
+        "FROM outcome_labels l JOIN setup_events se ON se.setup_id = l.setup_id "
+        "WHERE se.setup_version=?", [labeler.PREMARKET_SETUP_VERSION]).fetchall()
+    n = len(rows)
+    days = con.execute("SELECT count(DISTINCT session_date) FROM setup_events WHERE setup_version=?",
+                       [labeler.PREMARKET_SETUP_VERSION]).fetchone()[0]
+    if not n:
+        return {"n": 0, "days": days, "rate_1r": 0.0, "wilson_lb": 0.0,
+                "median_up_60m": 0.0, "median_dd_60m": 0.0, "big_gap_1r": 0.0, "passed": False}
+    r1 = [r[2] for r in rows]
+    big = [r[2] for r in rows if (r[3] or 0) >= 0.5]
+    med_up = labeler._median([r[0] for r in rows]) or 0.0
+    med_dd = labeler._median([r[1] for r in rows]) or 0.0
+    rate_1r = sum(r1) / n
+    rate_big = (sum(big) / len(big)) if big else 0.0
+    passed = (med_up >= labeler.PREMARKET_PROMO_MEDIAN_FWDMAX
+              and med_dd > labeler.PREMARKET_PROMO_MEDIAN_ADVERSE
+              and rate_1r > labeler.PREMARKET_PROMO_MIN_1R
+              and rate_big > labeler.PREMARKET_PROMO_MIN_1R)
+    return {"n": n, "days": days, "rate_1r": rate_1r,
+            "wilson_lb": labeler._wilson_lower(sum(r1), n),
+            "median_up_60m": med_up, "median_dd_60m": med_dd,
+            "big_gap_1r": rate_big, "passed": passed}
+
+
+def main() -> None:
+    con = open_research_db("market")
+    labeler.build_premarket(con, rebuild=True)          # rebuild from the grown DB
+    m = _metrics(con)
+    ts = datetime.now(timezone.utc).isoformat(timespec="seconds")
+    row = (f"{ts}\t{m['n']}\t{m['days']}\t{m['rate_1r']:.3f}\t{m['wilson_lb']:.3f}\t"
+           f"{m['median_up_60m']:.4f}\t{m['median_dd_60m']:.4f}\t{m['big_gap_1r']:.3f}\t{m['passed']}")
+    new = not os.path.exists(HIST)
+    with open(HIST, "a") as f:
+        if new:
+            f.write(_HEADER)
+        f.write(row + "\n")
+    print("appended:", row)
+    labeler.validate_premarket(con)
+
+
+if __name__ == "__main__":
+    main()