Cash to Future Arbitrage
This EPAT project will help you understand and learn how you can build-up a module on Cash future Arbitrage....
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.
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....
Predicting Bank Nifty Open Price Using Deep Learning
Learn how to use Deep Learning for using a classifier to predict whether the Bank Nifty index listed in NSE will go up or down, and open on the next day....
Pivot Point Strategy
In this project, we analyze different intraday trading strategies with Pivot Points. After defining different ways of calculating the Pivot Point, we do a Backtest with the most classic strategies and a different variant to those normally taught in textbooks....
Trend Testing In Algorithmic Trading
This article is an EPAT project that will guide you about getting an insight into how your strategy would perform by using certain techniques and a couple of tools ie. in short, how to test a trend....
Momentum-based Live Trading Using IBridgePy
This blog is a Project work of an EPATian. It uses Ibridgepy and is written in Python to access and use both historical and real-time data of securities provided by Interactive Brokers through IB Gateway....
Trading China A-Share Stocks Based On Social Media Data Analysis In Python
In this article, we will understand how natural language processing, sentiment analysis and social media play a role in the share markets with the help of Python. This would be explained with respect to the trading in China markets A-share stocks....
Predicting Stock Trends Using Technical Analysis And Random Forests
This blog talks about how one can use technical indicators for predicting market movements and stock trends by using random forests, machine learning and technical analysis....