We found 121 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.
Algorithmic Trading Vs Discretionary Trading
Traders have been trading in the discretionary manner since always, but what made the trading world need contemporary algorithmic trading? And what are the strong points of each type of trading? Learn all of this and much more with this blog!...
11 min read
Top skills to prepare for a quant interview
Discover the essential trading skills needed to succeed as a quantitative trader or analyst in the trading and financial technology domain. Unlock the secrets of acing quant interviews and acquiring the crucial trading skills with this comprehensive and informative guide....
7 min read
Neural Network In Python: Types, Structure And Trading Strategies
What is a neural network and how does it work? How can you create a neural network with the famous Python programming language? In this tutorial, learn the concept of neural networks, their work, and their applications along with Python in trading....
19 min read
How to install Python Packages?
Learn all about installing Python packages and resolving frequent issues which programmers face during package installation with this comprehensive blog. You will learn about Pip install, dir() function and PyPi....
11 min read
Portfolio Analysis: Calculating Risk and Returns, Strategies and More
Portfolio analysis is an important part of the trading journey as the trader needs to analyse the expected risks on expected returns before making the investment decisions. With this informative blog, get to learn all about portfolio analysis and the associated calculations!...
13 min read
Hyperparameters: Optimization and Tuning for Machine Learning
For training your machine learning model to the best potential, hyperparameters play an important role. But what are the hyperparameters and how to use them for your machine learning models? Learn the nitty-gritty of using hyperparameters for machine learning models....
7 min read
Paper Trading - Trading using virtual money!
How about trading with virtual money and finding out how your strategy performs without fearing the loss of even a single penny? Find out all about paper trading and the top paper trading platforms with this informative blog....
18 min read
Best Quant websites | An unconventional guide
A curated selection of some of the finest websites for Quants! Gain exposure to some of the highly sought Quant Blogs, Portals, Forums, Communities, and Research papers....
8 min read
Volatility And Measures Of Risk-Adjusted Return With Python
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....
8 min read
Market Making: Algo Trading, Automation, Benefits, and Price Volatility
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....
11 min read