xrenaissance / Machine-Learning-and-Quantitative-analysisLinks
💰Step by steps to explore and analysis the data, build model by utilizing machine learning model or deep learning model, the tools include numpy, pandas,scipy,sklearn,tensorflow etc, or big data analysis with Apache Spark.
☆56Updated 6 years ago
Alternatives and similar repositories for Machine-Learning-and-Quantitative-analysis
Users that are interested in Machine-Learning-and-Quantitative-analysis are comparing it to the libraries listed below
Sorting:
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- ☆73Updated 3 years ago
- Machine Learning for Quantitative Finance☆24Updated 7 years ago
- ☆86Updated 6 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆118Updated 7 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimization☆68Updated 8 years ago
- Backtesting toolbox for trading strategies - DEPRECATED☆111Updated 5 years ago
- ☆65Updated 7 years ago
- the book with script☆80Updated 8 years ago
- Jupyter (IPython) notebooks for exploring mixture models☆37Updated 8 years ago
- Notes for Active Portfolio Management, by Grinold and Kahn☆47Updated 9 years ago
- Cointegration Test in python☆28Updated 6 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- This project explores the way to construct the multiple factor risk model to calculate the risk contribution of each factor and the total…☆74Updated 7 years ago
- Extension for creating Performance Reports with Backtrader☆72Updated 7 years ago
- Notebooks and stuff from quantfiction.com☆37Updated 5 years ago
- Repository for teachings on Quant Finance☆49Updated 6 years ago
- High Frequency Trading☆111Updated 7 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to cho…☆70Updated 8 years ago
- tools for alpha research☆23Updated 7 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆108Updated 6 years ago
- A library for portfolio optimization algorithms with python interface.☆30Updated 4 years ago
- Another attempt to use Deep-Learning in the financial markets☆56Updated 2 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- Notebook for <Advances in Financial Machine Learning> using Python 3.7☆43Updated 6 years ago
- ☆34Updated 7 years ago
- Deep Neural Network Trading collection of Tensorflow Jupyter notebooks☆62Updated 2 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago
- Assisting repository for the published paper investigating ensemble methods in algorithmic trading.☆44Updated 7 years ago