feat(observability): fine-grained metrics for summary, trades, and cycle log

api/summary — new fields:
  open_trades_count, closed_trades_count, cash_available (bankroll−deployed),
  legacy_incomplete_count, reentry_guard_blocks_24h
  parallel fetch via asyncio.gather for sub-ms overhead

api/trades?status=open — trade enrichment:
  days_open (float, rounded to 1 decimal)
  signal_components {fg, mom, news, mfld} parsed from reasoning via regex
  Old trades without feat_str in reasoning return signal_components: null

bayesian.py — reasoning now embeds feat_str:
  "fg=+0.0600 mom=+0.0000 news=+0.0000 mfld=-0.7483 |"
  Manifold counters: _manifold_fetched / _manifold_on_trade per cycle
  get_cycle_stats() exposes manifold_matches_accepted / manifold_matches_rejected

bot/main.py — CYCLE SUMMARY 4 new fields:
  reentry_guard_blocked, legacy_incomplete_seen,
  family_conflicts_prevented, manifold_matches_accepted/rejected
  legacy_incomplete_count queried from DB once per cycle

db.py — get_legacy_incomplete_count(): open trades with NULL edge_net

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

bot/data/db.py

@@ -120,6 +120,14 @@ class Database:
                 market_id, new_key,
             )
 
+    async def get_legacy_incomplete_count(self) -> int:
+        """Return count of open trades with NULL edge_net (legacy data without signal values)."""
+        async with self._pool.acquire() as conn:
+            row = await conn.fetchrow(
+                "SELECT COUNT(*) FROM trades WHERE closed_at IS NULL AND edge_net IS NULL"
+            )
+            return int(row[0])
+
     async def get_recently_closed_inverted(self, hours: int = 24) -> set[str]:
         """Return market_ids closed for inversion bug within the last N hours.