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

Gap Trading Strategy: Based on the Markov Rule | EPAT Project

An EPAT project on gap trading in Indian equities, targeting low-volatility stocks and avoiding high-volatility conditions. This long-only strategy enters at day’s close and exits at next day’s open, improving performance over time with higher Sharpe ratios and reduced volatility....
7 min read

Mean-Reversion Trading with Statistical Arbitrage Pair Trading Strategy Across Different Sectors in the Indian Markets | EPAT Project

A statistical arbitrage strategy for the Indian stock market that leverages pair trading by identifying and trading cointegrated stock pairs within the same sector. With this blog, learn to ensure high correlation and mean-reverting price behavior for optimal returns....
5 min read

Using Machine Learning to Generate Intraday Buy and Sell Signals for Cryptocurrency | EPAT Project

This blog covers technical indicators, data preprocessing, backtesting, and performance optimization with tools like Scikit-Learn and VectorBt. Perfect for intermediate to advanced readers aiming to enhance trading performance in volatile markets....
9 min read

Crypto Perpetual Contract Pair Trading

An end-to-end guide on crypto perpetual contract pair trading, from idea to backtesting and optimization. Learn statistical arbitrage with Binance data for optimal trading, in this QuantInsti EPAT project....
13 min read

EPAT Trading Projects

Intraday Low-Frequency Trading Strategy

This project explains how you can create an Intraday Low-Frequency trading strategy....
6 min read

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....
5 min read

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....
11 min read

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....
17 min read

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....
3 min read

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....
3 min read

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....
4 min read

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....
12 min read

Using Sentiment Analysis To Trade Equities [EPAT PROJECT]

The best way to assess the market sentiment is analyzing the main source of information that people use; news....
4 min read

Order Flow Strategy For Crypto Markets [EPAT PROJECT]

This article is an EPAT project which explains two strategies on ETHBTC based on full order flow & market disbalances & how to estimate a strategy performance....
2 min read