A guide about Gold price using prediction using machine learning in Python. Learn about defining the variables to create a linear regression model, and eventually predicting the Gold ETF prices....
A glorious 35-year career with some of the leading banks, Hans became an entrepreneur and has his own firm. This is his story of learning Futures Trading....
Being an accountant, doing an MBA, Manuel wanted to learn how to become a full-time trader and aspires to set up his own algo trading firm. This is his story....
Daniel Martin is a Freelance IT consultant and hails from the beautiful country of Romania. This article shares his journey, from being the “Tech Guy” to learning Python for the Financial Markets....
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....
This blog has been divided into 3 parts. First - the formulation of the Quantamental trading strategy. Second - backtesting the strategy. Third - performance analysis of the strategy against the benchmark: NASDAQ....
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....