Turning data into insights and building strategy using Python
This article will help you learn how to analyze data to acquire insights via Live stock-market examples and datasets....
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.
Building a Random Forest Regression model for Forex trading using price indicators and a sentiment indicator
This article helps you understand how you can build a machine learning model that could predict the next day’s currency close price based on previous days data....
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....
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....
Automation using trend-following indicators
Learn how to create a system which can generate buy, sell, and automating orders as per signals generated by an intraday trading strategy based on 200 SMA and 50 EMA....
Market Regime Detection with Hidden Markov Model
What are Market Regimes? How can you detect a Market Regime? How can you do it with the help of a hidden Markov Model? EPATian Fahim Khan explains in this project....
Cash to Future Arbitrage
This EPAT project will help you understand and learn how you can build-up a module on Cash future Arbitrage....
Intraday Low-Frequency Trading Strategy
This project explains how you can create an Intraday Low-Frequency trading strategy....
Predicting SL/TP Signal Using Machine Learning
This EPAT Project could help you predict when to exit a BUY/ SELL position ie. Predicting SL/TP signal using Machine Learning, using a machine learning technique....