Essential Mathematical Concepts for Algorithmic Trading
Learn different mathematical concepts such as Statistics, Probability, Algebra, Linear Regression which play an important role in Algorithmic Trading....
QuantInsti’s Blog on Algo Trading and Quantitative Finance
An Analytical & Experimental Attitude - Pranay’s Secret To Being A Successful Quant
Today, a successful Quant, Pranay has had quite an interesting journey into Algorithmic Trading that we’d like to share with all our readers....
Introduction to XGBoost in Python
XGBoost is a gradient boosting model which reduces computation time and consumes fewer resources. Python code to predict long-short on US stocks is also covered...
Picking up the Quant ways of Trading after 25+ years in Energy Industry - Mark Rendle
After spending 25+years in the energy industry, Mark picked up the Quant ways of Trading. Here’s his story....
Engineering, MBA, CFA and now EPAT - Balamurugan’s Journey
A Product professional who studied Engineering, MBA, and CFA chose to enter the field of Algorithmic Trading and Quantitative Trading with EPAT. This is his journey....
Algorithmic Trading in Commodity Markets by Sunil Guglani
In our latest webinar on 'Algorithmic Trading in Commodity Markets', Sunil Guglani, AVP at NCDEX, imparts knowledge covering various aspects of this topic....
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....
Patrick, a retail trader with a passion to learn & execute on the go
The story of an active investor who grew up in the heart of tech innovation, Silicon Valley, and his pursuit to harness technology to carry out his trading for him....
A Data Analyst, a Database System expert and now an Algo Trader - Akshay’s journey
The journey of one man who has moved on courageously, learning and growing to gain the edge for achieving his desire and establishing himself in the domain of Algorithmic Trading. This is the story of Akshay Pai....