xrenaissance / Machine-Learning-and-Quantitative-analysisLinks
π°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.
β56Updated 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:
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learnβ56Updated 4 years ago
 - An intelligent recommender system for stock analyzing, predicting and tradingβ141Updated 3 years ago
 - β73Updated 3 years ago
 - β65Updated 7 years ago
 - Reproduce research from paper "Predicting the direction of stock market prices using random forest"β118Updated 7 years ago
 - Machine Learning for Quantitative Financeβ24Updated 7 years ago
 - Modeling the volatility of commodity futures Indicesβ15Updated 8 years ago
 - High Frequency Tradingβ110Updated 7 years ago
 - Notes for Active Portfolio Management, by Grinold and Kahnβ47Updated 9 years ago
 - Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choβ¦β70Updated 8 years ago
 - the book with scriptβ80Updated 8 years ago
 - Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.β56Updated 8 years ago
 - β86Updated 6 years ago
 - Materials for IBM Spark contest. About the real-world application of big data and spark.β77Updated 6 years ago
 - Python library for high frequency portfolio analysis, intraday backtesting and optimizationβ67Updated 8 years ago
 - Deep Neural Network Trading collection of Tensorflow Jupyter notebooksβ62Updated 2 years ago
 - Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivityβ¦β48Updated 7 years ago
 - Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdfβ94Updated 3 years ago
 - Extension for creating Performance Reports with Backtraderβ72Updated 7 years ago
 - Predict stock movement with Machine Learning and Deep Learning algorithmsβ52Updated 3 years ago
 - β45Updated 5 years ago
 - Awesome machine learning for tradingβ55Updated 7 years ago
 - The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using tβ¦β61Updated 4 years ago
 - Cointegration Test in pythonβ28Updated 6 years ago
 - A Survey of Multi-Factor Modelsβ40Updated 10 years ago
 - Backtesting toolbox for trading strategies - DEPRECATEDβ111Updated 5 years ago
 - Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)β134Updated 5 years ago
 - Applying Deep Learning and NLP in Quantitative Tradingβ107Updated 6 years ago
 - Stock Fundamental Analysis using Machine Learning Classification Modelsβ105Updated 4 years ago
 - Algorithmic Trading using RNNβ35Updated 9 years ago