feat(bot): add [CYCLE SUMMARY] diagnostic block at end of each cycle

BayesianStrategy now tracks per-cycle counters (reset each cycle):
  - skip_prior_extreme, skip_family
  - skip_edge_net_nonpositive (edge_net ≤ 0)
  - skip_edge_net_below_regime (0 < edge_net < regime_min)
  - evaluated_edges list for max/pct computations

main.py logs one structured [CYCLE SUMMARY] block per cycle with:
  markets_total, markets_uncertainty_zone, max_edge_gross, max_edge_net,
  pct_edge_gross_gt_002, pct_edge_gross_gt_004, all blocked_by_* counters,
  trades_executed, gnews_queries_used/cap

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

bot/main.py

@@ -10,7 +10,7 @@ from datetime import datetime, timezone
 from bot.data.polymarket import PolymarketClient, market_family_key
 from bot.data.external import ExternalDataClient
 from bot.data.news import NewsClient
-from bot.strategy.bayesian import BayesianStrategy, gnews_priority
+from bot.strategy.bayesian import BayesianStrategy, gnews_priority, MAX_NEWS_QUERIES_PER_CYCLE
 from bot.risk.manager import RiskManager
 from bot.executor.paper import PaperExecutor
 from bot.metrics.tracker import MetricsTracker
@@ -124,9 +124,46 @@ async def run_trading_loop(
                     occupied_families.add(signal.family_key)
                     cycle_trades += 1
 
-            log.info("Cycle complete — trades this cycle: %d", cycle_trades)
+            # 8. [CYCLE SUMMARY] — one block per cycle, stable format for grep/compare
+            stats = strategy.get_cycle_stats()
+            n_total = len(markets)
+            n_uncertainty = sum(1 for m in markets if 0.35 <= m.yes_price <= 0.65)
+            n_eval = stats["evaluated_count"]
+            def _pct(n: int, denom: int) -> str:
+                if denom == 0:
+                    return "0% (0/0)"
+                return f"{n * 100 // denom}% ({n}/{denom})"
+            gnews_cap = strategy._news_queries_this_cycle  # already updated by reset below
 
-            # 8. Update daily metrics
+            log.info(
+                "[CYCLE SUMMARY]\n"
+                "  markets_total:                  %d\n"
+                "  markets_uncertainty_zone:       %d (prior 0.35-0.65)\n"
+                "  max_edge_gross:                 %+.3f\n"
+                "  max_edge_net:                   %+.3f\n"
+                "  pct_edge_gross_gt_002:          %s\n"
+                "  pct_edge_gross_gt_004:          %s\n"
+                "  blocked_by_family:              %d\n"
+                "  blocked_by_prior_extreme:       %d\n"
+                "  blocked_by_edge_net_nonpositive:%d\n"
+                "  blocked_by_edge_net_below_regime:%d\n"
+                "  trades_executed:                %d\n"
+                "  gnews_queries_used:             %d/%d",
+                n_total,
+                n_uncertainty,
+                stats["max_edge_gross"],
+                stats["max_edge_net"],
+                _pct(stats["gross_gt_002"], n_total),
+                _pct(stats["gross_gt_004"], n_total),
+                stats["skip_family"],
+                stats["skip_prior_extreme"],
+                stats["skip_edge_net_nonpositive"],
+                stats["skip_edge_net_below_regime"],
+                cycle_trades,
+                stats["gnews_queries_used"], MAX_NEWS_QUERIES_PER_CYCLE,
+            )
+
+            # 9. Update daily metrics
             await metrics.update_daily_summary()
 
         except Exception as e: