Showing 1-9 of 9 projects
Machine learning and deep learning models for stock forecasting, including trading bots and simulations.
A Python-based stock market analyzer and predictor using Elasticsearch, Twitter, news, and natural language processing.
Predicts stock market prices using a recurrent neural network (RNN) model with multilayer LSTM cells.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
A collection of trading strategies and tools for the Gekko trading bot, with backtesting results.
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
A stock trading bot using deep reinforcement learning to learn profitable trading strategies.
Portfolio optimization tool using deep learning and PyTorch for finance and wealth management.
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