2024
Diffstock: Probabilistic Relational Stock Market Predictions Using Diffusion Models
ICASSP 2024accepted
In this work, we propose an approach to generalize denoising diffusion probabilistic models for stock market predictions and portfolio management. Present works have demonstrated the efficacy of modeling interstock relations for market time-series forecasting and utilized Graph-based learning models…