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Technical experimentations to beat the stock market using deep learning.
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
List of awesome resources for machine learning-based algorithmic trading
This project is a collection of predictive models and quantitative tools for stock price forecasting. It implements a variety of machine learning architectures, including generative adversarial networks, long short-term memory networks, and language models for financial analysis. The system distinguishes itself by combining time-series forecasting with natural language processing to convert financial news into numerical sentiment scores. It also incorporates synthetic market data generation and automated hyperparameter optimization using Bayesian and reinforcement learning methods to reduce p
Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more sophisticated algorithms and their ensembles with different features, check their performance, train a trading strategy and go live.
The main features of rachnog/deep-trading are: Algorithmic Trading Frameworks, Deep Learning Trading, Machine Learning Models.
Projects with overlapping indexed features include: keon/deepstock — Technical experimentations to beat the stock market using deep learning. achillesrasquinha/bulbea — :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling. filangel/qtrader — Reinforcement Learning for Portfolio Management. borisbanushev/stockpredictionai — This project is a collection of predictive models and quantitative tools for stock price forecasting. It implements a… cbailes/awesome-deep-trading — List of awesome resources for machine learning-based algorithmic trading. ceruleanacg/personae — 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for…