ML_V97legacy_ml
al dia
WR 76.60% | Ret +4.236%
YELP, MRNA
Research Lab Board
Densidad tecnica para medir si la maquina esta pensando o solo replicando
Esta vista cruza competencia, sectores, continuidad y overlap. Sirve para auditar si la
DB esta viva, si el motor experimental evoluciona con memoria y si los challengers legacy son de verdad
modelos ortogonales o solo ruido con nombres nuevos.
Latest prediction
2026-05-12
Ultima fecha escrita en predictions
Latest outcome
2026-05-12
Ultima fecha ya evaluada
DB size
- MB
Tamano actual de titan.db
Prediction models
39
Modelos distintos con registros en DB
Matriz de lectura
Hechos clave del sistema
Motor Experimental actualV13
Referencia inmediataV12
Fechas iguales V12/V1391
Fechas distintas V12/V132
Sleeve E evaluado2 casos
Mercado del ultimo snapshotSEGURO | breadth 55.3%
Target operativo2026-05-13
Competencia reciente y frescura
Modelos con mejores estadisticos evaluados en la liga monitoreada.
V11base
al dia
WR 60.00% | Ret +2.043%
-
ML_V94legacy_ml
al dia
WR 59.55% | Ret +1.834%
QCOM, INTC
ML_BRAIN_V11legacy_ml
al dia
WR 58.15% | Ret +1.515%
VIST, PAAS
V13activo
al dia
WR 57.80% | Ret +4.341%
NUE, PM
ML_V39legacy_ml
al dia
WR 56.12% | Ret +0.265%
MU, CVS
Curvas de retorno medio por rueda
Series de retorno promedio diario para los sleeves del motor experimental.
V13 D_D10
WR57.72%
Ret medio+2.415%
Conf media72.31%
V13 E_D15
WR50.00%
Ret medio+10.711%
Conf media59.42%
Overlap matrix
Promedio de coincidencia por rueda en la ventana reciente.
| V13 | V11 | ML_V97 | ML_V39 | ML_V39FULL | ML_BRAIN_V11 | ML_BRAIN_V11_OPT | ML_V37 | ML_BRAIN_V10 | ML_V94 | |
|---|---|---|---|---|---|---|---|---|---|---|
| V13 | 1.000 | 0.000 | 0.006 | 0.032 | 0.019 | 0.030 | 0.020 | 0.013 | 0.000 | 0.000 |
| V11 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.333 | 0.333 | 0.000 | 0.167 | 0.250 |
| ML_V97 | 0.006 | 0.000 | 1.000 | 0.000 | 0.011 | 0.000 | 0.022 | 0.054 | 0.000 | 0.043 |
| ML_V39 | 0.032 | 0.000 | 0.000 | 1.000 | 0.048 | 0.043 | 0.054 | 0.019 | 0.000 | 0.026 |
| ML_V39FULL | 0.019 | 0.000 | 0.011 | 0.048 | 1.000 | 0.011 | 0.022 | 0.030 | 0.022 | 0.032 |
| ML_BRAIN_V11 | 0.030 | 0.333 | 0.000 | 0.043 | 0.011 | 1.000 | 0.234 | 0.011 | 0.022 | 0.075 |
| ML_BRAIN_V11_OPT | 0.020 | 0.333 | 0.022 | 0.054 | 0.022 | 0.234 | 1.000 | 0.011 | 0.022 | 0.097 |
| ML_V37 | 0.013 | 0.000 | 0.054 | 0.019 | 0.030 | 0.011 | 0.011 | 1.000 | 0.000 | 0.043 |
| ML_BRAIN_V10 | 0.000 | 0.167 | 0.000 | 0.000 | 0.022 | 0.022 | 0.022 | 0.000 | 1.000 | 0.011 |
| ML_V94 | 0.000 | 0.250 | 0.043 | 0.026 | 0.032 | 0.075 | 0.097 | 0.043 | 0.011 | 1.000 |
Sectores fuertes
Donde el motor experimental y dos challengers destacados estan acertando mas segun la DB evaluada.
V13 D_D10
| Sector | N | WR | Ret |
|---|---|---|---|
| energy | 98 | 79.59% | +3.833% |
| finance | 52 | 75.00% | +3.181% |
| semis | 135 | 65.19% | +6.732% |
| mining | 178 | 56.74% | +1.987% |
| other | 201 | 54.23% | +1.493% |
| tech | 30 | 53.33% | +3.053% |
ML_V97
| Sector | N | WR | Ret |
|---|---|---|---|
| latam | 18 | 88.89% | +5.128% |
| industrial | 12 | 83.33% | +6.033% |
| semis | 12 | 83.33% | +6.464% |
| other | 67 | 80.60% | +4.995% |
| tech | 20 | 75.00% | +2.200% |
| finance | 7 | 71.43% | +2.525% |
ML_V39
| Sector | N | WR | Ret |
|---|---|---|---|
| energy | 10 | 80.00% | +1.326% |
| finance | 22 | 68.18% | +0.450% |
| semis | 39 | 61.54% | +0.732% |
| other | 23 | 60.87% | +0.906% |
| health | 27 | 55.56% | +0.173% |
| tech | 48 | 47.92% | -0.184% |
Diferencias reales entre V12 y V13
Ejemplos historicos donde el agregado de V13 no fue igual al de V12.
| Fecha | Solo V13 | Solo V12 |
|---|---|---|
| 2026-03-16 | ERIC | - |
| 2025-12-22 | RKLB | - |