huseinzol05 / Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
☆8,086Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Stock-Prediction-Models
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pre…☆4,262Updated 4 months ago
- Using python and scikit-learn to make stock predictions☆1,766Updated 5 months ago
- Use unsupervised and supervised learning to predict stocks☆1,735Updated 4 years ago
- Stock Trading Bot using Deep Q-Learning☆985Updated 11 months ago
- Stock Price Prediction using Machine Learning Techniques☆1,336Updated last year
- Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Str…☆6,001Updated 7 months ago
- A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym☆1,734Updated 2 years ago
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆2,734Updated last year
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,598Updated 9 months ago
- Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity☆4,545Updated 4 months ago
- List of awesome resources for machine learning-based algorithmic trading☆1,514Updated last year
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,257Updated 8 months ago
- Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment ana…☆2,165Updated 11 months ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,052Updated 3 years ago
- Deep Q-learning driven stock trader bot☆848Updated 11 months ago
- A list of online resources for quantitative modeling, trading, portfolio management☆2,997Updated 5 months ago
- Technical Analysis Library using Pandas and Numpy☆4,371Updated 4 months ago
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆3,985Updated last year
- Portfolio Optimization and Quantitative Strategic Asset Allocation in Python☆3,086Updated last week
- Hands-On Machine Learning for Algorithmic Trading, published by Packt☆1,497Updated last year
- Introducing neural networks to predict stock prices☆741Updated 5 years ago
- An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.☆4,570Updated 5 months ago
- Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.☆1,790Updated 2 years ago
- Code for Machine Learning for Algorithmic Trading, 2nd edition.☆13,438Updated 3 months ago
- Source code for Algorithmic Trading with Python (2020) by Chris Conlan☆2,757Updated 3 years ago
- Find big moving stocks before they move using machine learning and anomaly detection☆1,776Updated 3 years ago
- Quantitative analysis, strategies and backtests☆2,121Updated last year
- Performance analysis of predictive (alpha) stock factors☆3,389Updated 9 months ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,687Updated this week
- Common financial technical indicators implemented in Pandas.☆2,134Updated 2 years ago