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.
Screeni-py
A Python-based stock screener to find stocks with potential breakout probability from NSE India.
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
okama
Investment portfolio and stocks analyzing tools for Python with free historical data
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sp500
Current and Historical Lists of S&P 500 components since 1996
stocks-analysis
Stocks analysis using python packages
stockstats
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.