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advanced_feature_engineering_of_raw_data_of_stocks-with_pyspark

Features and labels engineering of raw data of quotes of several stocks.

backtrader

Python Backtesting library for trading strategies

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

coursera-stanford-divide-and-conquer-sorting-and-searching-and-randomized-algorithms

Notebook for quick search

financial-models-numerical-methods

Collection of notebooks about quantitative finance, with interactive python code.

hummingbot

Hummingbot is open source software that helps you build trading bots that run on any exchange or blockchain

lppls

Library for fitting the LPPLS model to data.

machine-learning-for-algorithmic-trading-second-edition_original

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

mastering-python-for-finance-second-edition

Mastering Python for Finance – Second Edition, published by Packt

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

price_direction_forecast

pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

pyfin

Basic options pricing in Python

pyfolio

Portfolio and risk analytics in Python

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

seaborn

Statistical data visualization in Python

simple-entrade-program

stock_feature_engineering

Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and stop/hold positions for machine learning. Used machine l

tscv

Time Series Cross-Validation -- an extension for scikit-learn

vnstock

Efficient Python library for extracting comprehensive data from the Vietnam Stock Market using Public APIs