xrenaissance / Machine-Learning-and-Quantitative-analysis
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 5 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
- Machine Learning for Quantitative Financeβ24Updated 6 years ago
- β62Updated 6 years ago
- Notes for Active Portfolio Management, by Grinold and Kahnβ46Updated 8 years ago
- Jupyter (IPython) notebooks for exploring mixture modelsβ37Updated 7 years ago
- Materials for IBM Spark contest. About the real-world application of big data and spark.β77Updated 6 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learnβ56Updated 3 years ago
- Fama French 3 Factor Modelβ40Updated 9 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.β22Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approachβ27Updated 6 years ago
- An intelligent recommender system for stock analyzing, predicting and tradingβ141Updated 3 years ago
- Predict stock price based on financial news feedsβ60Updated 6 years ago
- β71Updated 2 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordinβ¦β44Updated 2 years ago
- Repository for teachings on Quant Financeβ49Updated 5 years ago
- β36Updated 6 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Makingβ46Updated 7 years ago
- Cointegration Test in pythonβ28Updated 5 years ago
- This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amβ¦β15Updated 7 years ago
- Python library for high frequency portfolio analysis, intraday backtesting and optimizationβ66Updated 7 years ago
- This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generateβ¦β20Updated 6 years ago
- Machine Learning for Financial Market Predictionβ57Updated 6 years ago
- the book with scriptβ78Updated 7 years ago
- Some trading strategies implemented using Backtraderβ28Updated 5 years ago
- Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Predictionβ30Updated 7 years ago
- Implement a momentum trading strategy in Python and test to see if it has the potential to be profitableβ55Updated 6 years ago
- Machine Learning in Asset Managementβ21Updated 5 years ago
- Implementing technical indicators that are not implemented in ta-libβ68Updated 8 years ago
- A Python toolkit for high-frequency trade research.β40Updated 6 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen testβ31Updated 6 years ago
- quant trading strategy researchβ24Updated 7 years ago