HuanJian Chang, a full-time data analyst with 12+ years of work experience and domain knowledge in marketing, is exploring the world of algo trading with EPAT in order to one day set up his own trading desk....
Volatility is most crucial for a trader for avoiding losses. But what is it and how to compute historical volatility in Python, and what are the different measures of risk-adjusted return based on it? Find it all in this interesting and informative blog article....
Market making is integral for the financial markets since market makers are the buyers and sellers for making the market liquid. Learn what market making is all about, the market making strategy, and the role of automated trading in making markets....
How does an IAS officer from the Indian Administrative Services of the Govt. of India with a glorious career spanning 25+ years across countless industries learn Algorithmic Trading? Join us on this journey of Parrag as he explains how he pursued his interest in learning Algo trading with EPAT....
Discover QuantInsti’s 2022 webinars featuring algorithmic trading insights, machine learning applications, crypto strategies, and hands-on projects. Explore expert-led sessions on portfolio optimization, trading alphas, VIX strategies, and more. Ideal for traders at all levels....
The algorithmic trading domain is a contemporary one for the traders of today! But before beginning algorithmic trading, it is essential to know the prerequisites. This blog discusses the same for making your algo trading journey easier....
Beta is a good volatility measurement tool for any trader in the financial market. But how is the volatility of one stock measured against the volatility of another? What are the different types of beta values? This blog answers it all and much more!...
A quick glimpse at the power-packed journey of QuantInsti in 2022, covering events, activities, advancements, achievements and contributions to algorithmic trading....
The idea of this project is to design a market neutral (long/short) portfolio of assets to be rebalanced periodically choosing different assets during every rebalance and evaluating different portfolio techniques....
EPAT project presentations by two of our esteemed EPAT alumni - “Portfolio Assets Allocation: A practical and scalable framework for Machine Learning Development” by Raimondo Marino and “Portfolio Optimization for Dividend Stocks” by Kurt Selleslagh....