lo14, hi14    = lo.rolling(14).min(), h.rolling(14).max()
                                          ^
NameError: name 'h' is not defined. Did you mean: 'hi'?
[RAM CAP] Uncapped -- running at max efficiency
[MAX WORKERS] Hard cap: 16 concurrent threads | Applies to: feature rebuild, training, ThreadPoolExecutor

[MODE] Trading mode: BOTH
[MODE] Bidirectional -- longs AND shorts enabled

2026-04-27 03:21:23 [INFO] Daily DB: today=trading_data_20260427.db | history=10 older DB(s)
2026-04-27 03:21:23 [INFO] ============================================================
2026-04-27 03:21:23 [INFO] ML Trading System v8 - Alpaca + Finnhub + Sentiment Intelligence
2026-04-27 03:21:23 [INFO] CPU cores    : 32
2026-04-27 03:21:23 [INFO] Base agents  : 16
2026-04-27 03:21:23 [INFO] Clone agents : 16
2026-04-27 03:21:23 [INFO] Total agents : 32
2026-04-27 03:21:23 [INFO] MetaLearner  : trading as 33rd agent ($1,000 capital)
2026-04-27 03:21:23 [INFO] Retrain      : every 15 min during market hours + EOD
2026-04-27 03:21:23 [INFO] Data sources : Alpaca WS (all IEX bars) + Finnhub (58/min) + AV + Polygon
2026-04-27 03:21:23 [INFO] Charts       : charts/  hourly accuracy PNG
2026-04-27 03:21:23 [INFO] Trade CSV    : logs/TRADE_LOG.csv
2026-04-27 03:21:23 [INFO] Alpaca       : keys set, WebSocket will connect on start
2026-04-27 03:21:23 [INFO] ============================================================
2026-04-27 03:21:23 [INFO] [RAM] startup baseline | 223 MB (uncapped)
2026-04-27 03:21:23 [INFO] Loading sector info (skipping ETFs)...
[RAM CAP] Uncapped -- running at max efficiency
[MAX WORKERS] Hard cap: 16 concurrent threads | Applies to: feature rebuild, training, ThreadPoolExecutor

[MODE] Trading mode: BOTH
[MODE] Bidirectional -- longs AND shorts enabled

2026-04-27 03:22:20 [INFO] Daily DB: today=trading_data_20260427.db | history=10 older DB(s)
2026-04-27 03:22:20 [INFO] ============================================================
2026-04-27 03:22:20 [INFO] ML Trading System v8 - Alpaca + Finnhub + Sentiment Intelligence
2026-04-27 03:22:20 [INFO] CPU cores    : 32
2026-04-27 03:22:20 [INFO] Base agents  : 16
2026-04-27 03:22:20 [INFO] Clone agents : 16
2026-04-27 03:22:20 [INFO] Total agents : 32
2026-04-27 03:22:20 [INFO] MetaLearner  : trading as 33rd agent ($1,000 capital)
2026-04-27 03:22:20 [INFO] Retrain      : every 15 min during market hours + EOD
2026-04-27 03:22:20 [INFO] Data sources : Alpaca WS (all IEX bars) + Finnhub (58/min) + AV + Polygon
2026-04-27 03:22:20 [INFO] Charts       : charts/  hourly accuracy PNG
2026-04-27 03:22:20 [INFO] Trade CSV    : logs/TRADE_LOG.csv
2026-04-27 03:22:20 [INFO] Alpaca       : keys set, WebSocket will connect on start
2026-04-27 03:22:20 [INFO] ============================================================
2026-04-27 03:22:20 [INFO] [RAM] startup baseline | 223 MB (uncapped)
2026-04-27 03:22:20 [INFO] Loading sector info (skipping ETFs)...
2026-04-27 03:25:24 [INFO]   Sectors loaded: 104
2026-04-27 03:25:24 [INFO] [RAM] after load_sectors | 226 MB (uncapped)
2026-04-27 03:25:24 [INFO] [RAM] before model load | 226 MB (uncapped)
2026-04-27 03:25:24 [INFO] [RAM] after model load (32 PKL files in memory) | 226 MB (uncapped)
2026-04-27 03:25:24 [INFO] No saved agent state — starting fresh.
2026-04-27 03:25:24 [INFO] [RAM] after agent state restore | 226 MB (uncapped)
2026-04-27 03:25:24 [INFO] [RAM] before rebuild_all_features | 226 MB (uncapped)
Traceback (most recent call last):
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 7688, in <module>
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 7395, in run
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 6592, in initialize
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 2846, in rebuild_all_features
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 2691, in rebuild_features_for
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 2391, in get_scores
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 1842, in get
sqlite3.OperationalError: unable to open database file
[RAM CAP] Uncapped -- running at max efficiency
[MAX WORKERS] Hard cap: 16 concurrent threads | Applies to: feature rebuild, training, ThreadPoolExecutor

[MODE] Trading mode: BOTH
[MODE] Bidirectional -- longs AND shorts enabled

2026-04-27 03:59:20 [INFO] Daily DB: today=trading_data_20260427.db | history=10 older DB(s)
2026-04-27 03:59:20 [INFO] ============================================================
2026-04-27 03:59:20 [INFO] ML Trading System v8 - Alpaca + Finnhub + Sentiment Intelligence
2026-04-27 03:59:20 [INFO] CPU cores    : 32
2026-04-27 03:59:20 [INFO] Base agents  : 16
2026-04-27 03:59:20 [INFO] Clone agents : 16
2026-04-27 03:59:20 [INFO] Total agents : 32
2026-04-27 03:59:20 [INFO] MetaLearner  : trading as 33rd agent ($1,000 capital)
2026-04-27 03:59:20 [INFO] Retrain      : every 15 min during market hours + EOD
2026-04-27 03:59:20 [INFO] Data sources : Alpaca WS (all IEX bars) + Finnhub (58/min) + AV + Polygon
2026-04-27 03:59:20 [INFO] Charts       : charts/  hourly accuracy PNG
2026-04-27 03:59:20 [INFO] Trade CSV    : logs/TRADE_LOG.csv
2026-04-27 03:59:20 [INFO] Alpaca       : keys set, WebSocket will connect on start
2026-04-27 03:59:20 [INFO] ============================================================
2026-04-27 03:59:20 [INFO] [RAM] startup baseline | 223 MB (uncapped)
2026-04-27 03:59:20 [INFO] Loading sector info (skipping ETFs)...
2026-04-27 04:02:24 [INFO]   Sectors loaded: 173
2026-04-27 04:02:24 [INFO] [RAM] after load_sectors | 226 MB (uncapped)
2026-04-27 04:02:24 [INFO] [RAM] before model load | 226 MB (uncapped)
2026-04-27 04:02:24 [INFO] [RAM] after model load (32 PKL files in memory) | 226 MB (uncapped)
2026-04-27 04:02:24 [INFO] No saved agent state — starting fresh.
2026-04-27 04:02:24 [INFO] [RAM] after agent state restore | 226 MB (uncapped)
2026-04-27 04:02:24 [INFO] [RAM] before rebuild_all_features | 226 MB (uncapped)
Traceback (most recent call last):
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 7688, in <module>
    trading_mode=_args.mode).run()
                             ~~~^^
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 7395, in run
    if not self.initialize():
           ~~~~~~~~~~~~~~~^^
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 6592, in initialize
    n = self.dm.rebuild_all_features()
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 2846, in rebuild_all_features
    if self.rebuild_features_for(sym):
       ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 2706, in rebuild_features_for
    feat = build_features(df, self.velocity, sentiment_scores=sentiment)
  File "/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py", line 1607, in build_features
    lo14, hi14    = lo.rolling(14).min(), h.rolling(14).max()
                                          ^
NameError: name 'h' is not defined. Did you mean: 'hi'?
2026-04-27 04:03:18 [INFO] Daily DB: today=trading_data_20260427.db | history=10 older DB(s)
2026-04-27 04:03:18 [INFO] ============================================================
2026-04-27 04:03:18 [INFO] ML Trading System v8 - Alpaca + Finnhub + Sentiment Intelligence
2026-04-27 04:03:18 [INFO] CPU cores    : 32
2026-04-27 04:03:18 [INFO] Base agents  : 16
2026-04-27 04:03:18 [INFO] Clone agents : 16
2026-04-27 04:03:18 [INFO] Total agents : 32
2026-04-27 04:03:18 [INFO] MetaLearner  : trading as 33rd agent ($1,000 capital)
2026-04-27 04:03:18 [INFO] Retrain      : every 15 min during market hours + EOD
2026-04-27 04:03:18 [INFO] Data sources : Alpaca WS (all IEX bars) + Finnhub (58/min) + AV + Polygon
2026-04-27 04:03:18 [INFO] Charts       : charts/  hourly accuracy PNG
2026-04-27 04:03:18 [INFO] Trade CSV    : logs/TRADE_LOG.csv
2026-04-27 04:03:18 [INFO] Alpaca       : keys set, WebSocket will connect on start
2026-04-27 04:03:18 [INFO] ============================================================
2026-04-27 04:03:18 [INFO] [RAM] startup baseline | 223 MB (uncapped)
2026-04-27 04:03:18 [INFO] Loading sector info (skipping ETFs)...
2026-04-27 04:06:22 [INFO]   Sectors loaded: 84
2026-04-27 04:06:22 [INFO] [RAM] after load_sectors | 226 MB (uncapped)
2026-04-27 04:06:22 [INFO] [RAM] before model load | 226 MB (uncapped)
2026-04-27 04:06:22 [INFO] [RAM] after model load (32 PKL files in memory) | 226 MB (uncapped)
2026-04-27 04:06:22 [INFO] No saved agent state — starting fresh.
2026-04-27 04:06:22 [INFO] [RAM] after agent state restore | 226 MB (uncapped)
2026-04-27 04:06:22 [INFO] [RAM] before rebuild_all_features | 226 MB (uncapped)
[RAM CAP] Uncapped -- running at max efficiency
[MAX WORKERS] Hard cap: 16 concurrent threads | Applies to: feature rebuild, training, ThreadPoolExecutor

[MODE] Trading mode: BOTH
[MODE] Bidirectional -- longs AND shorts enabled

2026-04-27 05:03:38 [INFO] Daily DB: today=trading_data_20260427.db | history=10 older DB(s)
2026-04-27 05:03:38 [INFO] ============================================================
2026-04-27 05:03:38 [INFO] ML Trading System v8 - Alpaca + Finnhub + Sentiment Intelligence
2026-04-27 05:03:38 [INFO] CPU cores    : 32
2026-04-27 05:03:38 [INFO] Base agents  : 16
2026-04-27 05:03:38 [INFO] Clone agents : 16
2026-04-27 05:03:38 [INFO] Total agents : 32
2026-04-27 05:03:38 [INFO] MetaLearner  : trading as 33rd agent ($1,000 capital)
2026-04-27 05:03:38 [INFO] Retrain      : every 15 min during market hours + EOD
2026-04-27 05:03:38 [INFO] Data sources : Alpaca WS (all IEX bars) + Finnhub (58/min) + AV + Polygon
2026-04-27 05:03:38 [INFO] Charts       : charts/  hourly accuracy PNG
2026-04-27 05:03:38 [INFO] Trade CSV    : logs/TRADE_LOG.csv
2026-04-27 05:03:38 [INFO] Alpaca       : keys set, WebSocket will connect on start
2026-04-27 05:03:38 [INFO] ============================================================
2026-04-27 05:03:38 [INFO] [RAM] startup baseline | 223 MB (uncapped)
2026-04-27 05:03:38 [INFO] Loading sector info (skipping ETFs)...
2026-04-27 05:06:42 [INFO]   Sectors loaded: 196
2026-04-27 05:06:42 [INFO] [RAM] after load_sectors | 226 MB (uncapped)
2026-04-27 05:06:42 [INFO] [RAM] before model load | 226 MB (uncapped)
2026-04-27 05:06:42 [INFO] [RAM] after model load (32 PKL files in memory) | 226 MB (uncapped)
2026-04-27 05:06:42 [INFO] No saved agent state — starting fresh.
2026-04-27 05:06:42 [INFO] [RAM] after agent state restore | 226 MB (uncapped)
2026-04-27 05:06:42 [INFO] [RAM] before rebuild_all_features | 226 MB (uncapped)
2026-04-27 06:08:23 [INFO] [RAM] rebuild_all_features complete | ok=4947/10720 | 2,575 MB (uncapped)
2026-04-27 06:08:23 [INFO] [RAM] after rebuild_all_features (4947 symbols) | 2,575 MB (uncapped)
2026-04-27 06:08:23 [INFO] Features built for 4947 symbols from existing DB data
2026-04-27 06:08:23 [INFO] [RAM] before _retrain | 2,575 MB (uncapped)
2026-04-27 06:09:44 [INFO] [RAM] rebuild_all_features complete | ok=4947/10720 | 2,661 MB (uncapped)
2026-04-27 06:09:44 [INFO] Agent state saved -> logs/agent_state.json
2026-04-27 06:09:44 [INFO] [RAM] after _retrain | 2,661 MB (uncapped)
2026-04-27 06:09:44 [INFO] DB: 4,458,624 quotes across 10720 symbols (+10 history DB(s))
2026-04-27 06:09:44 [INFO] [RAM] before Alpaca WS start | 2,662 MB (uncapped)
2026-04-27 06:09:44 [INFO] Alpaca WS: connecting to wss://stream.data.alpaca.markets/v2/iex
2026-04-27 06:09:44 [INFO] Alpaca WebSocket thread started.
2026-04-27 06:09:44 [INFO] Sentiment engine started — news=ON | sec=ON | reddit=OFF(no key) | congress=ON | stocktwits=ON
2026-04-27 06:09:44 [INFO] Sentiment    : engine started (news + SEC + reddit + congress)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:09:44 [INFO] [RAM] after sentiment engine start | 2,663 MB (uncapped)
2026-04-27 06:09:44 [INFO] [RAM] fully initialized | 2,663 MB (uncapped)
2026-04-27 06:09:44 [INFO] Ready.

2026-04-27 06:09:44 [INFO] Main loop running. Ctrl+C to stop.

2026-04-27 06:09:44 [INFO] Finnhub fetch thread started (58 calls/min round-robin).
2026-04-27 06:09:44 [INFO] EOD training trigger: 07:09 ET | pre-market window
2026-04-27 06:09:44 [INFO] EOD training started at 2026-04-27 06:09:44 CST
2026-04-27 06:09:44 [INFO] [RAM] EOD train start | 2,663 MB (uncapped)
2026-04-27 06:09:44 [INFO] Writing pre-train report...
2026-04-27 06:09:44 [INFO] Human report -> logs/human_report.txt
2026-04-27 06:09:44 [INFO] HTML dashboard -> logs/bot_dashboard.html  (39KB)
2026-04-27 06:09:44 [INFO] Claude handoff -> logs/claude_handoff.json
2026-04-27 06:09:44 [INFO] Pre-train report written.
2026-04-27 06:09:45 [INFO] Alpaca WS: connected, authenticating...
2026-04-27 06:09:45 [INFO] Alpaca WS: connection established
2026-04-27 06:09:45 [INFO] Alpaca WS: authenticated — subscribing to all bars (*)
2026-04-27 06:09:45 [INFO] Alpaca WS: subscribed — bars=1 (wildcard active)
2026-04-27 06:09:45 [INFO] Backup complete -> backup/  (20260427_060944 CST)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:09:54 [INFO] GitHub daily push complete: 9 files → Stock_Bot/backup/
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:11:04 [INFO] [RAM] rebuild_all_features complete | ok=4947/10720 | 3,126 MB (uncapped)
2026-04-27 06:11:04 [INFO]   Features rebuilt: 4947 symbols
2026-04-27 06:11:04 [INFO] Saving today's feature file...
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:11:42 [INFO] Daily features saved -> features/daily/features_20260427.pkl.gz (858,954 rows, 4947 symbols)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:11:48 [INFO]   Training dataset: 858,954 rows across 4947 symbols
2026-04-27 06:11:48 [INFO] Training 32 agents | 16 workers | each worker: train → save → release → next | DAILY_TREES=50
2026-04-27 06:11:48 [INFO] [RAM] before worker-pool training (16 workers) | 3,946 MB (uncapped)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:15:03 [INFO]   [Clone_MeanReversion_5] FULL train=0.583 val=0.580 n=849,928 IC=0.000
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:15:03 [INFO]   [Clone_LowFreq_14] FULL train=0.583 val=0.580 n=849,928 IC=0.000
2026-04-27 06:15:04 [INFO]   [Clone_LowFreq_14] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:15:04 [INFO]   [9/32] Clone_LowFreq_14 | +50 trees | val=0.580 | IC=0.000 | 195.1s | released
2026-04-27 06:15:04 [INFO] [RAM] after Clone_LowFreq_14 released (1 done) | 20,538 MB (uncapped)
2026-04-27 06:15:04 [INFO]   [Clone_MeanReversion_5] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:15:04 [INFO]   [10/32] Clone_MeanReversion_5 | +50 trees | val=0.580 | IC=0.000 | 194.3s | released
2026-04-27 06:15:04 [INFO] [RAM] after Clone_MeanReversion_5 released (2 done) | 20,545 MB (uncapped)
2026-04-27 06:15:04 [INFO]   [Aggressive] FULL train=0.583 val=0.580 n=849,928 IC=0.000
2026-04-27 06:15:05 [INFO]   [Clone_Balanced_16] FULL train=0.583 val=0.580 n=849,928 IC=0.000
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:15:07 [INFO]   [Aggressive] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:15:07 [INFO]   [1/32] Aggressive | +50 trees | val=0.580 | IC=0.000 | 196.3s | released
2026-04-27 06:15:07 [INFO] [RAM] after Aggressive released (3 done) | 19,202 MB (uncapped)
2026-04-27 06:15:07 [INFO]   [Clone_ModerateDefens_3] FULL train=0.583 val=0.580 n=849,928 IC=0.000
2026-04-27 06:15:08 [INFO]   [Clone_Balanced_16] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:15:08 [INFO]   [4/32] Clone_Balanced_16 | +50 trees | val=0.580 | IC=0.000 | 197.4s | released
2026-04-27 06:15:08 [INFO] [RAM] after Clone_Balanced_16 released (4 done) | 17,847 MB (uncapped)
2026-04-27 06:15:08 [INFO]   [Clone_ModerateDefens_3] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:15:08 [INFO]   [12/32] Clone_ModerateDefens_3 | +50 trees | val=0.580 | IC=0.000 | 198.4s | released
2026-04-27 06:15:08 [INFO] [RAM] after Clone_ModerateDefens_3 released (5 done) | 17,500 MB (uncapped)
2026-04-27 06:15:09 [INFO]   [Clone_Conservative_2] FULL train=0.585 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:10 [INFO]   [Clone_HighFreq_15] FULL train=0.585 val=0.581 n=849,928 IC=0.000
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:15:11 [INFO]   [Clone_Conservative_2] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:11 [INFO]   [5/32] Clone_Conservative_2 | +50 trees | val=0.581 | IC=0.000 | 201.0s | released
2026-04-27 06:15:11 [INFO] [RAM] after Clone_Conservative_2 released (6 done) | 15,812 MB (uncapped)
2026-04-27 06:15:11 [INFO]   [Clone_HighFreq_15] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:11 [INFO]   [Clone_ModerateAggr_7] FULL train=0.583 val=0.580 n=849,928 IC=0.000
2026-04-27 06:15:11 [INFO]   [8/32] Clone_HighFreq_15 | +50 trees | val=0.581 | IC=0.000 | 201.7s | released
2026-04-27 06:15:11 [INFO] [RAM] after Clone_HighFreq_15 released (7 done) | 14,801 MB (uncapped)
2026-04-27 06:15:11 [INFO]   [Balanced] FULL train=0.583 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:13 [INFO]   [Clone_ModerateAggr_7] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:15:13 [INFO]   [11/32] Clone_ModerateAggr_7 | +50 trees | val=0.580 | IC=0.000 | 202.9s | released
2026-04-27 06:15:13 [INFO] [RAM] after Clone_ModerateAggr_7 released (8 done) | 12,977 MB (uncapped)
2026-04-27 06:15:14 [INFO]   [Balanced] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:14 [INFO]   [2/32] Balanced | +50 trees | val=0.581 | IC=0.000 | 203.2s | released
2026-04-27 06:15:14 [INFO] [RAM] after Balanced released (9 done) | 12,981 MB (uncapped)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:15:15 [INFO]   [Clone_Moderate_4] FULL train=0.584 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:16 [INFO]   [Clone_Momentum_6] FULL train=0.584 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:16 [INFO]   [Clone_Moderate_4] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:16 [INFO]   [13/32] Clone_Moderate_4 | +50 trees | val=0.581 | IC=0.000 | 206.4s | released
2026-04-27 06:15:16 [INFO]   [Clone_UltraAggress_12] FULL train=0.587 val=0.582 n=849,928 IC=0.000
2026-04-27 06:15:16 [INFO] [RAM] after Clone_Moderate_4 released (10 done) | 10,765 MB (uncapped)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:15:17 [INFO]   [Clone_Contrarian_10] FULL train=0.584 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:17 [INFO]   [Clone_SectorRotation_13] FULL train=0.585 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:18 [INFO]   [Clone_HighConviction_9] FULL train=0.586 val=0.581 n=849,928 IC=0.000
2026-04-27 06:15:20 [INFO]   [Clone_Momentum_6] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:20 [INFO]   [14/32] Clone_Momentum_6 | +50 trees | val=0.581 | IC=0.000 | 207.7s | released
2026-04-27 06:15:20 [INFO] [RAM] after Clone_Momentum_6 released (11 done) | 5,757 MB (uncapped)
2026-04-27 06:15:20 [INFO]   [Clone_Aggressive_8] FULL train=0.586 val=0.582 n=849,928 IC=0.000
2026-04-27 06:15:22 [INFO]   [Clone_SectorRotation_13] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:22 [INFO]   [15/32] Clone_SectorRotation_13 | +50 trees | val=0.581 | IC=0.000 | 209.3s | released
2026-04-27 06:15:22 [INFO] [RAM] after Clone_SectorRotation_13 released (12 done) | 4,212 MB (uncapped)
2026-04-27 06:15:22 [INFO]   [Clone_UltraAggress_12] Loaded (val=0.582 IC=0.000 train_count=1)
2026-04-27 06:15:22 [INFO]   [16/32] Clone_UltraAggress_12 | +50 trees | val=0.582 | IC=0.000 | 207.6s | released
2026-04-27 06:15:22 [INFO] [RAM] after Clone_UltraAggress_12 released (13 done) | 4,238 MB (uncapped)
2026-04-27 06:15:23 [INFO]   [Clone_Contrarian_10] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:23 [INFO]   [6/32] Clone_Contrarian_10 | +50 trees | val=0.581 | IC=0.000 | 209.1s | released
2026-04-27 06:15:23 [INFO] [RAM] after Clone_Contrarian_10 released (14 done) | 4,268 MB (uncapped)
2026-04-27 06:15:24 [INFO]   [Clone_HighConviction_9] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 06:15:24 [INFO]   [7/32] Clone_HighConviction_9 | +50 trees | val=0.581 | IC=0.000 | 209.7s | released
2026-04-27 06:15:24 [INFO] [RAM] after Clone_HighConviction_9 released (15 done) | 4,300 MB (uncapped)
2026-04-27 06:15:25 [INFO]   [Clone_Aggressive_8] Loaded (val=0.582 IC=0.000 train_count=1)
2026-04-27 06:15:25 [INFO]   [3/32] Clone_Aggressive_8 | +50 trees | val=0.582 | IC=0.000 | 211.9s | released
2026-04-27 06:15:25 [INFO] [RAM] after Clone_Aggressive_8 released (16 done) | 4,322 MB (uncapped)
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:18:30 [INFO]   [Conservative] FULL train=0.583 val=0.580 n=849,928 IC=0.000
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 06:18:31 [INFO]   [Volatility] FULL train=0.583 val=0.580 n=849,928 IC=0.000
2026-04-27 06:18:31 [INFO]   [Conservative] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 06:18:31 [INFO]   [19/32] Conservative | +50 trees | val=0.580 | IC=0.000 | 204.4s | released
2026-04-27 06:18:31 [INFO] [RAM] after Conservative released (17 done) | 21,051 MB (uncapped)
[RAM CAP] Uncapped -- running at max efficiency
[MAX WORKERS] Hard cap: 16 concurrent threads | Applies to: feature rebuild, training, ThreadPoolExecutor

[MODE] Trading mode: BOTH
[MODE] Bidirectional -- longs AND shorts enabled

2026-04-27 07:03:55 [INFO] Daily DB: today=trading_data_20260427.db | history=10 older DB(s)
2026-04-27 07:03:55 [INFO] [CHECKPOINT] Resuming training from agent index 19 (crashed at Conservative)
2026-04-27 07:03:55 [INFO] ============================================================
2026-04-27 07:03:55 [INFO] ML Trading System v8 - Alpaca + Finnhub + Sentiment Intelligence
2026-04-27 07:03:55 [INFO] CPU cores    : 32
2026-04-27 07:03:55 [INFO] Base agents  : 16
2026-04-27 07:03:55 [INFO] Clone agents : 16
2026-04-27 07:03:55 [INFO] Total agents : 32
2026-04-27 07:03:55 [INFO] MetaLearner  : trading as 33rd agent ($1,000 capital)
2026-04-27 07:03:55 [INFO] Retrain      : every 15 min during market hours + EOD
2026-04-27 07:03:55 [INFO] Data sources : Alpaca WS (all IEX bars) + Finnhub (58/min) + AV + Polygon
2026-04-27 07:03:55 [INFO] Charts       : charts/  hourly accuracy PNG
2026-04-27 07:03:55 [INFO] Trade CSV    : logs/TRADE_LOG.csv
2026-04-27 07:03:55 [INFO] Alpaca       : keys set, WebSocket will connect on start
2026-04-27 07:03:55 [INFO] ============================================================
2026-04-27 07:03:55 [INFO] [RAM] startup baseline | 223 MB (uncapped)
2026-04-27 07:03:55 [INFO] Loading sector info (skipping ETFs)...
2026-04-27 07:06:59 [INFO]   Sectors loaded: 196
2026-04-27 07:06:59 [INFO] [RAM] after load_sectors | 226 MB (uncapped)
2026-04-27 07:06:59 [INFO] [RAM] before model load | 226 MB (uncapped)
2026-04-27 07:06:59 [INFO]   [Conservative] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Aggressive] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Volatility] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Balanced] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_Conservative_2] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_ModerateDefens_3] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_Moderate_4] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_MeanReversion_5] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_Momentum_6] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_ModerateAggr_7] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_Aggressive_8] Loaded (val=0.582 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_HighConviction_9] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_Contrarian_10] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_UltraAggress_12] Loaded (val=0.582 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_SectorRotation_13] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_LowFreq_14] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_HighFreq_15] Loaded (val=0.581 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO]   [Clone_Balanced_16] Loaded (val=0.580 IC=0.000 train_count=1)
2026-04-27 07:06:59 [INFO] [RAM] after model load (32 PKL files in memory) | 256 MB (uncapped)
2026-04-27 07:06:59 [INFO]   [UltraConserv] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Conservative] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [ModerateDefens] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Moderate] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [MeanReversion] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Momentum] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [ModerateAggr] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Aggressive] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [HighConviction] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Contrarian] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Volatility] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [UltraAggress] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [SectorRotation] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [LowFreq] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [HighFreq] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Balanced] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_UltraConserv_1] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Conservative_2] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_ModerateDefens_3] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Moderate_4] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_MeanReversion_5] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Momentum_6] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_ModerateAggr_7] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Aggressive_8] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_HighConviction_9] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Contrarian_10] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Volatility_11] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_UltraAggress_12] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_SectorRotation_13] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_LowFreq_14] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_HighFreq_15] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [Clone_Balanced_16] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO]   [MetaLearner] Restored: capital=$1000.00 pnl=$+0.00
2026-04-27 07:06:59 [INFO] Agent state loaded.
2026-04-27 07:06:59 [INFO] [RAM] after agent state restore | 256 MB (uncapped)
2026-04-27 07:06:59 [INFO] [RAM] before rebuild_all_features | 256 MB (uncapped)
2026-04-27 08:08:32 [INFO] [RAM] rebuild_all_features complete | ok=4947/10720 | 2,605 MB (uncapped)
2026-04-27 08:08:32 [INFO] [RAM] after rebuild_all_features (4947 symbols) | 2,605 MB (uncapped)
2026-04-27 08:08:32 [INFO] Features built for 4947 symbols from existing DB data
2026-04-27 08:08:32 [INFO] [RAM] before _retrain | 2,605 MB (uncapped)
2026-04-27 08:09:54 [INFO] [RAM] rebuild_all_features complete | ok=4947/10720 | 2,692 MB (uncapped)
2026-04-27 08:09:54 [INFO] Agent state saved -> logs/agent_state.json
2026-04-27 08:09:54 [INFO] [RAM] after _retrain | 2,692 MB (uncapped)
2026-04-27 08:09:55 [INFO] DB: 4,458,624 quotes across 10720 symbols (+10 history DB(s))
2026-04-27 08:09:55 [INFO] [RAM] before Alpaca WS start | 2,693 MB (uncapped)
2026-04-27 08:09:55 [INFO] Alpaca WS: connecting to wss://stream.data.alpaca.markets/v2/iex
2026-04-27 08:09:55 [INFO] Alpaca WebSocket thread started.
/opt/services/bots/trading_bot/Stock_Bot/StockTrading.py:2090: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  now       = datetime.utcnow()
2026-04-27 08:09:55 [INFO] Sentiment engine started — news=ON | sec=ON | reddit=OFF(no key) | congress=ON | stocktwits=ON
2026-04-27 08:09:55 [INFO] Sentiment    : engine started (news + SEC + reddit + congress)
2026-04-27 08:09:55 [INFO] [RAM] after sentiment engine start | 2,693 MB (uncapped)
2026-04-27 08:09:55 [INFO] [RAM] fully initialized | 2,693 MB (uncapped)
2026-04-27 08:09:55 [INFO] Ready.

2026-04-27 08:09:55 [INFO] Main loop running. Ctrl+C to stop.

2026-04-27 08:09:55 [INFO] Finnhub fetch thread started (58 calls/min round-robin).
2026-04-27 08:09:55 [INFO] Alpaca WS: connected, authenticating...
2026-04-27 08:09:55 [INFO] Alpaca WS: connection established
2026-04-27 08:09:55 [INFO] Alpaca WS: authenticated — subscribing to all bars (*)
2026-04-27 08:09:55 [INFO] Alpaca WS: subscribed — bars=1 (wildcard active)
2026-04-27 08:09:59 [INFO] Backup complete -> backup/  (20260427_080955 CST)