A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
A Project to identify statistical arbitrage opportunities between cointegrated pairs. This is referred to as 'Pairs Trading' which is a bet on the mean reversion property of the spread.
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Cross-platform multi-protocol VPN software. Pull requests are welcome. The stable version is available at https://github.com/SoftEtherVPN/SoftEtherVPN_Stable.
This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat
Sources codes for: Mastering Python for Finance, Second Edition
An easy to use Python 3 Pandas Extension with 80+Technical Analysis Indicators
Python script to calculate a couple of options (financial derivatives) and Implied Volatilities for American and European options.
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
