China’s futures market - This project focuses to identify opportunities using Statistical Arbitrage, various Pair trading techniques, and Python. A project by EPATian Xing Tao....
How to use quantitative techniques of online machine learning in trading strategies development and improvement? Learn from an example within this project by EPAT alumnus Evgeny Tishkin....
Your resource to learn about backtesting your data files with the Zipline library and building a Zipline bundle for Yahoo CSV files....
With this project, learn how to leverage daily returns prediction from a set of dynamic linear neural network models and build an asset allocation strategy for stocks comprising the nifty bank index....
A comprehensive resource to learn how to collaborate in an Open Source Trading project using the largely popular Git and Github tools....
This blog introduces you to the Central Limit Theorem (CLT) and explains its importance with the help of examples in Python. The concepts of samples and sampling distribution are also covered in this article....
Vijayabhasker explains a technical strategy deployed to capture short term potential price up move when a slowing momentum starts to display some strength....
In this article, we focus on a Volatility Weighted Portfolio to try to ensure that all components of the portfolio contribute in the same proportion to the risk/reward ratio....
This Project by Jirong Huang explains how you can use Time Series Momentum (TSMOM) and Continuous Forecasts (CF) to create a trend following trading strategy in Futures....
A candid conversation with EPAT alumnus, Gilles Laurentin, and his journey into the world of Algo Trading. He shares his review of EPAT and QuantInsti as well....