TradeBot

Training snapshot

LIVE · latest fit

2026-08-25 14:58 UTC

586 train / 146 val samples

LIVE · val log loss

0.4537

26 fits recorded · scikit-learn

LIVE · skill / AUC

-0.0225 / 0.61

positive skill + AUC > 0.5 -> genuinely learning

PAPER · latest fit

2026-08-25 05:09 UTC

555 train / 138 val samples

PAPER · val log loss

0.4659

13 fits recorded · scikit-learn

PAPER · skill / AUC

-0.0193 / 0.65

positive skill + AUC > 0.5 -> genuinely learning

Live — validation log-loss vs. baseline

Val log lossBaseline (do-nothing)

Paper — validation log-loss vs. baseline

Val log lossBaseline (do-nothing)

Live — AUC over time

AUCRandom (0.5)

Paper — AUC over time

AUCRandom (0.5)

Fit history

Mode	Fitted at	Version	Train	Val	Pos (train/val)	Base rate	Val log loss	Skill	AUC	Best iter	Backend
LIVE	2026-08-25 14:58 UTC	ml-5b17ce39	586	146	65/586 · 22/146	11.1%	0.4537	-0.0225	0.61	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 14:55 UTC	ml-5b17ce39	586	146	65/586 · 22/146	11.1%	0.4537	-0.0225	0.61	15	scikit-learn
LIVE	2026-08-25 13:58 UTC	ml-5b17ce39	583	145	65/583 · 22/145	11.1%	0.4491	-0.0160	0.61	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 13:55 UTC	ml-5b17ce39	583	145	65/583 · 22/145	11.1%	0.4491	-0.0160	0.61	15	scikit-learn
LIVE	2026-08-25 12:57 UTC	ml-5b17ce39	580	144	65/580 · 22/144	11.2%	0.4557	-0.0206	0.62	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 12:55 UTC	ml-5b17ce39	580	144	65/580 · 22/144	11.2%	0.4557	-0.0206	0.62	15	scikit-learn
LIVE	2026-08-25 11:57 UTC	ml-5b17ce39	576	144	65/576 · 22/144	11.3%	0.4461	-0.0113	0.61	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 11:55 UTC	ml-5b17ce39	576	144	65/576 · 22/144	11.3%	0.4461	-0.0113	0.61	15	scikit-learn
LIVE	2026-08-25 10:56 UTC	ml-5b17ce39	573	143	65/573 · 22/143	11.3%	0.4455	-0.0088	0.60	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 10:54 UTC	ml-5b17ce39	573	143	65/573 · 22/143	11.3%	0.4455	-0.0088	0.60	15	scikit-learn
LIVE	2026-08-25 09:56 UTC	ml-5b17ce39	570	142	65/570 · 22/142	11.4%	0.4529	-0.0142	0.59	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 09:54 UTC	ml-5b17ce39	570	142	65/570 · 22/142	11.4%	0.4529	-0.0142	0.59	15	scikit-learn
LIVE	2026-08-25 08:56 UTC	ml-5b17ce39	567	141	65/567 · 22/141	11.5%	0.4584	-0.0177	0.62	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 08:54 UTC	ml-5b17ce39	567	141	65/567 · 22/141	11.5%	0.4584	-0.0177	0.62	15	scikit-learn
LIVE	2026-08-25 07:55 UTC	ml-5b17ce39	564	140	65/564 · 22/140	11.5%	0.4600	-0.0172	0.63	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 07:54 UTC	ml-5b17ce39	564	140	65/564 · 22/140	11.5%	0.4600	-0.0172	0.63	15	scikit-learn
LIVE	2026-08-25 06:55 UTC	ml-5b17ce39	560	140	65/560 · 22/140	11.6%	0.4447	-0.0023	0.61	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 06:54 UTC	ml-5b17ce39	560	140	65/560 · 22/140	11.6%	0.4447	-0.0023	0.61	15	scikit-learn
LIVE	2026-08-25 05:55 UTC	ml-5b17ce39	557	139	65/557 · 22/139	11.7%	0.4579	-0.0135	0.63	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 05:54 UTC	ml-5b17ce39	557	139	65/557 · 22/139	11.7%	0.4579	-0.0135	0.63	15	scikit-learn
LIVE	2026-08-25 05:09 UTC	ml-5b17ce39	555	138	65/555 · 22/138	11.7%	0.4659	-0.0193	0.65	15	scikit-learn
PAPER	2026-08-25 05:09 UTC	ml-5b17ce39	555	138	65/555 · 22/138	11.7%	0.4659	-0.0193	0.65	15	scikit-learn
LIVE	2026-08-25 04:58 UTC	ml-5b17ce39	554	138	65/554 · 22/138	11.7%	0.4489	-0.0024	0.66	15	scikit-learn
PAPER	2026-08-25 04:58 UTC	ml-5b17ce39	554	138	65/554 · 22/138	11.7%	0.4489	-0.0024	0.66	15	scikit-learn
LIVE	2026-08-25 04:22 UTC	ml-5b17ce39	552	138	65/552 · 22/138	11.8%	0.4578	-0.0115	0.66	15	scikit-learn
PAPER	2026-08-25 04:22 UTC	ml-5b17ce39	552	138	65/552 · 22/138	11.8%	0.4578	-0.0115	0.66	15	scikit-learn
LIVE	2026-08-25 04:18 UTC	ml-5b17ce39	552	138	65/552 · 22/138	11.8%	0.4578	-0.0115	0.66	15	scikit-learn
PAPER	2026-08-25 04:18 UTC	ml-5b17ce39	552	138	65/552 · 22/138	11.8%	0.4578	-0.0115	0.66	15	scikit-learn
LIVE	2026-08-25 03:36 UTC	ml-5b17ce39	550	137	65/550 · 22/137	11.8%	0.4571	-0.0086	0.72	15	scikit-learn
PAPER	2026-08-25 03:36 UTC	ml-5b17ce39	550	137	65/550 · 22/137	11.8%	0.4571	-0.0086	0.72	15	scikit-learn
LIVE	2026-08-25 03:23 UTC	ml-5b17ce39	549	137	—	—	0.4475	—	—	15	scikit-learn
PAPER	2026-08-25 03:23 UTC	ml-5b17ce39	549	137	—	—	0.4475	—	—	15	scikit-learn
LIVE	2026-08-25 02:54 UTC	ml-5b17ce39	548	136	—	—	0.4211	—	—	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 02:53 UTC	ml-5b17ce39	548	136	—	—	0.4211	—	—	15	scikit-learn
LIVE	2026-08-25 02:08 UTC	ml-5b17ce39	545	136	—	—	0.3618	—	—	30	scikit-learn
PAPER	2026-08-25 02:08 UTC	ml-5b17ce39	545	136	—	—	0.3618	—	—	30	scikit-learn
LIVE	2026-08-25 01:52 UTC	ml-5b17ce39	544	136	—	—	0.3305	—	—	30	scikit-learn
PAPER:AI_LEARNER	2026-08-25 01:52 UTC	ml-5b17ce39	544	136	—	—	0.3305	—	—	30	scikit-learn
LIVE	2026-08-25 00:52 UTC	ml-5b17ce39	541	135	—	—	0.2899	—	—	15	scikit-learn
PAPER:AI_LEARNER	2026-08-25 00:52 UTC	ml-5b17ce39	541	135	—	—	0.2899	—	—	15	scikit-learn
LIVE	2026-08-25 00:07 UTC	ml-5b17ce39	539	134	—	—	0.2704	—	—	15	scikit-learn
PAPER	2026-08-25 00:07 UTC	ml-5b17ce39	539	134	—	—	0.2704	—	—	15	scikit-learn
LIVE	2026-08-24 23:57 UTC	ml-5b17ce39	538	134	—	—	0.2732	—	—	15	scikit-learn
PAPER	2026-08-24 23:57 UTC	ml-5b17ce39	538	134	—	—	0.2732	—	—	15	scikit-learn
LIVE	2026-08-24 23:56 UTC	ml-5b17ce39	538	134	—	—	0.2732	—	—	15	scikit-learn
PAPER	2026-08-24 23:56 UTC	ml-5b17ce39	538	134	—	—	0.2732	—	—	15	scikit-learn
LIVE	2026-08-24 23:44 UTC	ml-5b17ce39	537	134	—	—	0.2729	—	—	15	scikit-learn
PAPER	2026-08-24 23:44 UTC	ml-5b17ce39	537	134	—	—	0.2729	—	—	15	scikit-learn
LIVE	2026-08-24 23:25 UTC	ml-5b17ce39	536	134	—	—	0.2742	—	—	15	scikit-learn
PAPER	2026-08-24 23:25 UTC	ml-5b17ce39	536	134	—	—	0.2742	—	—	15	scikit-learn
LIVE	2026-08-24 22:54 UTC	ml-5b17ce39	535	133	—	—	0.2759	—	—	15	scikit-learn
PAPER	2026-08-24 22:54 UTC	ml-5b17ce39	535	133	—	—	0.2759	—	—	15	scikit-learn