EPAT Trading Projects

Ready-to-implement project work done by EPATians on real-markets data in Artificial Intelligence, Statistical Arbitrage, Sentiment Trading, Crypto Currency and more.

Top Picks

Statistical Arbitrage: Pair Trading in the Brazilian Stock Market

A detailed look into Brazil’s stock market, as Dr. Luiz Guedes explains his project where he modelled a Statistical Arbitrage Pair Trading strategy to Brazil’s B3 (former Bovespa) stock market exchange....
11 min read

Kalman Filter Techniques And Statistical Arbitrage In China's Futures Market In Python

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....
11 min read

Prediction of the price trend of Metals with Machine Learning

This project will help you learn how you can predict the price trend of metals using Machine Learning in your trading practice....
8 min read

LSTM Networks: Can They Predict Equity Index Prices?

In this article, we look at an enhanced version of the recurrent neural network called the LSTM network to predict SPY equity index prices based on historical price and volume data....
18 min read

EPAT Trading Projects

Dynamic Selection of Pairs for Statistical Arbitrage

Model a Statistical Arbitrage trading strategy and learn to quantitatively analyse the modelling results through this EPAT project on algorithmic trading....
14 min read

Rule-based Portfolio to beat Market Returns

How do you create a rule-based portfolio for a retail investor? EPAT alumnus Manoj shares his EPAT project and explains....
11 min read

Statistical Arbitrage: Pair Trading in the Brazilian Stock Market

A detailed look into Brazil’s stock market, as Dr. Luiz Guedes explains his project where he modelled a Statistical Arbitrage Pair Trading strategy to Brazil’s B3 (former Bovespa) stock market exchange....
11 min read

Long-only, Low frequency, Asset-allocation Algorithms

Learn and come up with a low-frequency strategy that can optimally allocate its prevailing capital amongst a pre-selected set of underliers (basket assets) at regular intervals....
24 min read

Portfolio Allocation and Pair Trading Strategy using Python

A comparative analysis of the Portfolio Allocation Strategy with the Pair trading strategy, using the Sharpe, Sortino and Calmar ratio in the Indian Equities Market....
15 min read

Kalman Filter Techniques And Statistical Arbitrage In China's Futures Market In Python

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....
11 min read

Investing in Big Tech Stocks using online Quantitative Models

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....
7 min read

Dynamic Asset Allocation using Neural Networks

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....
17 min read

Trading with low ADX & other Momentum Indicators

Vijayabhasker explains a technical strategy deployed to capture short term potential price up move when a slowing momentum starts to display some strength....
4 min read

Trend Following Strategy in Futures using Time Series Momentum and Continuous Forecasts

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....
12 min read