chart: anchor chain-link on successor funding value (keep first-day P&L visible)

app.py

@@ -69,9 +69,9 @@ def _frozen_history():
     try:
         h = json.load(open(hf_hub_download("s-ttp/marketfm-panel", "deepquant_live_history.json",
                                            repo_type="dataset", token=os.environ.get("HF_TOKEN"), force_download=True)))
-        return [(dt.datetime.fromisoformat(d), float(v)) for d, v in h["daily_equity"]]
+        return [(dt.datetime.fromisoformat(d), float(v)) for d, v in h["daily_equity"]], h.get("successor_base")
     except Exception:
-        return []
+        return [], None
 
 
 def build_curve():
@@ -85,13 +85,16 @@ def build_curve():
     # (Friday's close shows up under "Saturday"). Snap each point to its trading date.
     daily = [(dt.datetime.combine(d.date(), dt.time.min), v) for d, v in daily]
     note = ""
-    frozen = _frozen_history()
+    frozen, succ_base = _frozen_history()
     if frozen:
         splice = frozen[-1][0]
         new = [(d, v) for d, v in daily if d > splice]
         # chain-link: the successor account restarts at its own funding value, so scale its
-        # curve so that its first point continues the frozen record's last close exactly
-        daily = frozen + ([(d, v * frozen[-1][1] / new[0][1]) for d, v in new] if new else [])
+        # curve so that the funding value continues the frozen record's last close exactly.
+        # Anchoring on the recorded funding value (successor_base) rather than the first
+        # close keeps the successor's own first-day P&L visible instead of absorbing it.
+        anchor = succ_base or (new[0][1] if new else None)
+        daily = frozen + ([(d, v * frozen[-1][1] / anchor) for d, v in new] if new else [])
         note = ("Chain-linked series: the brokerage account was re-provisioned in Oct 2026; "
                 "history is the predecessor account's actual record, and the successor's curve is "
                 "linked at the splice so fund performance is continuous. Account value shown may "