notesum.ai
Published at December 4Numin: Weighted-Majority Ensembles for Intraday Trading
cs.CE
Released Date: December 4, 2024
Authors: Aniruddha Mukherjee1, Rekha Singhal2, Gautam Shroff3
Aff.: 1Kalinga Institute of Industrial Technology; 2TCS Research; 3IIIT, Delhi

| Window Sizes | (5,5) | (5,10) | (5,20) | |||
|---|---|---|---|---|---|---|
| Methods | accuracy | std | accuracy | std | accuracy | std |
| CNN Cat | 19.87% | 0.06 | 22.05% | 0.04 | 19.87% | 0.06 |
| CNN Reg | 22.84% | 0.05 | 22.29% | 0.05 | 22.84% | 0.05 |
| LSTM Cat | 23.71% | 0.03 | 23.09% | 0.04 | 23.71% | 0.03 |
| LSTM Reg | 24.71% | 0.06 | 24.35% | 0.06 | 24.71% | 0.06 |
| Cont MLP | 24.01% | 0.03 | 23.30% | 0.04 | 24.01% | 0.03 |
| MOE_ MLP | 25.53% | 0.03 | 26.98% | 0.03 | 26.81% | 0.02 |
| AutoEncoder | 24.17% | 0.07 | 23.36% | 0.02 | 21.19% | 0.01 |
| KMeans MOE | 23.92% | 0.05 | 24.48% | 0.04 | 23.92% | 0.05 |
| AVG_MODEL | 23.59% | 0.01 | 23.74% | 0.02 | 23.38% | 0.02 |
| WMA AccWts | 23.60% | 0.05 | 25.76% | 0.03 | 22.84% | 0.03 |
| WMA UtilWts | 27.93% | 0.07 | 25.30% | 0.03 | 22.71% | 0.05 |