Showing 5 of 5 projects
A comprehensive collection of machine learning and deep learning models, trading agents, and simulations for stock market forecasting.
A complete AI-driven process using GANs with LSTM and CNN to predict stock price movements, incorporating diverse data sources and hyperparameter optimization.
An open-source suite featuring financial large language models (FinMA), instruction datasets (FIT), and evaluation benchmarks (FinBen) for financial AI.
A deterministic stock price prediction algorithm that uses pattern recognition in historical data, inspired by LSTM.
Compares stacked ensemble learning against individual ML algorithms for stock market trend prediction using Python.
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