SHJ's repositories
quant-trading
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python.
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
machine-learning_data_management
Practical Full-Stack Machine Learning
machinelearning_finance
Machine learning and artificial intelligence
pydata-book_python_for_data_analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
stocks-analysis
Stocks analysis using python packages
stockstats
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.