We found 148 articles by this author...
Chainika Thakar
Chainika Bahl Thakar is a Content Specialist at QuantInsti with over five years of experience in writing technical content for algorithmic trading and financial markets. With a background in economics from Panjab University, she specializes in SEO, content marketing, and Python-driven tutorials for tasks like data analysis and price prediction. Chainika bridges the gap between complex quant concepts and practical learning through clear, accessible content.
Asset Beta and Market Beta in Python
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!...
8 min read
Gini Index: Decision Tree, Formula, Calculator, Gini Coefficient in Machine Learning
Gini Index is a powerful tool for decision tree technique in machine learning models. This detailed guide helps you learn everything from Gini index formula, how to calculate Gini index, Gini index decision tree, Gini index example and more!...
9 min read
VWAP Tutorial: Calculation, Uses, and Limitations
VWAP i.e. the Volume Weighted Average Price, is a useful technical indicator that works on the basis of an entire day’s price action. Find out more about VWAP with this interesting tutorial....
13 min read
How much salary does a Quant earn?
Quantitative traders are quite successful but, what do the quants do to become one and how much salary do they earn? With this blog, you will learn all this and much more!...
9 min read
Real Effective Exchange Rate (REER): Formula, Calculation, and More
Real effective exchange rate (REER) is vital when it comes to trading. What is REER? What is the REER formula and how it can be used for real effective exchange rate calculation? This blog covers this, the FAQs, types and more....
9 min read
Algorithmic Trading in India: Resources, Regulations, and Future
Algorithmic trading in India has amalgamated finance with cutting-edge technologies and is benefiting from developing regulations and a growing economy. This blog chronicles the past, present and future of algo trading in India and a lot more....
14 min read
Machine Learning Basics: Components, Application, Resources and More
Machine Learning basics, algorithms, concepts and techniques are the talk of the day! Machine Learning has dramatically altered every field. Dive into the basics of machine learning, and learn all about it....
14 min read
Using Python Lambda function in Trading
Python’s lambda function makes coding with the functions easy for Python programmers. There are certain ways in which the lambda function can be used while trading algorithmically and this guide discusses just that!...
5 min read
Pairs Trading for Beginners: Correlation, Cointegration, Examples, and Strategy Steps
The pairs trading strategy is one of the most known trading strategies. It is based on a slight anomaly in the price of one of the pairs. With this interesting blog, find out how one takes advantage of such a price anomaly, or let us say the price deviation....
11 min read
Cloud Computing in Trading: Types, Models, Automation and more
Cloud computing in trading is a boon for the financial markets globally. What is the concept of cloud computing and how does it benefit a trader? We explain....
11 min read