borisbanushev / stockpredictionai
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…
☆4,548Updated 6 months ago
Alternatives and similar repositories for stockpredictionai:
Users that are interested in stockpredictionai are comparing it to the libraries listed below
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆8,395Updated last year
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆2,828Updated last year
- Using python and scikit-learn to make stock predictions☆1,807Updated 7 months ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,735Updated this week
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,303Updated 11 months ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆1,988Updated 2 years ago
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆1,744Updated 2 years ago
- List of awesome resources for machine learning-based algorithmic trading☆1,566Updated last year
- Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Str…☆6,350Updated 10 months ago
- Quantitative analysis, strategies and backtests☆2,401Updated last year
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆4,088Updated last year
- Common financial technical indicators implemented in Pandas.☆2,164Updated 2 years ago
- Introducing neural networks to predict stock prices☆744Updated 5 years ago
- Stock Trading Bot using Deep Q-Learning☆1,019Updated last year
- A list of online resources for quantitative modeling, trading, portfolio management☆3,131Updated 8 months ago
- Portfolio analytics for quants, written in Python☆5,298Updated 3 months ago
- Stock Price Prediction using Machine Learning Techniques☆1,384Updated last year
- Deep Q-learning driven stock trader bot☆865Updated last year
- For trading. Please star.☆2,185Updated 7 months ago
- Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.☆1,333Updated 2 weeks ago
- Use unsupervised and supervised learning to predict stocks☆1,760Updated 4 years ago
- Financial Markets Data Visualization using Matplotlib☆3,856Updated 6 months ago
- Portfolio optimization with deep learning.☆975Updated last year
- A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym☆1,757Updated 3 years ago
- Performance analysis of predictive (alpha) stock factors☆3,528Updated last year
- 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.☆3,782Updated last month
- Technical Analysis Library using Pandas and Numpy☆4,515Updated 6 months ago
- Hands-On Machine Learning for Algorithmic Trading, published by Packt☆1,591Updated 2 years ago
- A complete set of volatility estimators based on Euan Sinclair's Volatility Trading☆1,644Updated 3 months ago
- Algorithmic trading with deep learning experiments☆1,437Updated 6 years ago