borisbanushev / stockpredictionaiLinks
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We…
☆5,200Updated 3 months ago
Alternatives and similar repositories for stockpredictionai
Users that are interested in stockpredictionai are comparing it to the libraries listed below
Sorting:
- Use unsupervised and supervised learning to predict stocks☆1,872Updated 5 years ago
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆4,443Updated 2 years ago
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆9,047Updated 2 years ago
- For trading. Please star.☆2,531Updated last week
- Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.☆1,947Updated 3 years ago
- Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Str…☆8,673Updated last year
- Using python and scikit-learn to make stock predictions☆1,905Updated last year
- List of awesome resources for machine learning-based algorithmic trading☆1,788Updated 2 years ago
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆3,329Updated 6 months ago
- A list of online resources for quantitative modeling, trading, portfolio management☆3,615Updated last year
- Quantitative analysis, strategies and backtests☆2,734Updated 2 years ago
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,766Updated last year
- 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.☆4,618Updated last month
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆1,850Updated 2 years ago
- Source code for Algorithmic Trading with Python (2020) by Chris Conlan☆3,164Updated 4 years ago
- An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.☆5,662Updated last year
- Hands-On Machine Learning for Algorithmic Trading, published by Packt☆1,747Updated 2 years ago
- Portfolio Optimization and Quantitative Strategic Asset Allocation in Python☆3,664Updated 3 months ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,929Updated 6 months ago
- Machine Learning for Algorithmic Trading, Second Edition - published by Packt☆1,500Updated 3 weeks ago
- A program for financial portfolio management, analysis and optimisation.☆1,660Updated 2 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,170Updated 3 years ago
- Performance analysis of predictive (alpha) stock factors☆3,996Updated last year
- 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data☆3,279Updated last month
- A curated list of practical financial machine learning tools and applications.☆8,286Updated 11 months ago
- Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity☆5,325Updated this week
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,675Updated last year
- 📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.☆1,398Updated 7 years ago
- High-performance TensorFlow library for quantitative finance.☆5,062Updated 8 months ago
- Technical Analysis Library using Pandas and Numpy☆4,825Updated last year