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A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
A Python framework for portfolio optimization using deep learning to allocate investment weights in a single forward pass.
An open-source suite featuring financial large language models (FinMA), instruction datasets (FIT), and evaluation benchmarks (FinBen) for financial AI.
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