In this post, learn how to address the key concern of linear models. We will also take you in detail with the linear regression model to learn some of the key concepts. In addition to this learn how to implement polynomial regression with example....
This article begins by reviewing Linear Discriminant Analysis or LDA and its association with QDA, gaining an understanding of QDA are some of the steps....
We cover basics of Bull Call Spread Option strategy, includes a bonus Python code and Excel model and shows how to implement this strategy using a live example...
This article talks about Butterfly Options Strategy, a combination of Bull Spread and Bear Spread, a Neutral Trading Strategy and has limited risk options....
The Tax Day Trade is a trading strategy that is based around the day in which federal income taxes are due in the US...
Rajib Ranjan Borah presented at the Market Microstructure & Algorithmic Trading Workshop where he talked about Different Components of Algorithmic Trading Systems...
A step-by-step guide to help you learn how to use moving average crossover strategy to trade in Nifty Options. Explore back-testing of crossover signals using Python programming to get optimum results from your trading strategy....
Learn to optimize your portfolio in Python using Monte Carlo Simulation. This article explains how to assign random weights to your stocks and calculate annual returns along with standard deviation of your portfolio that will allow you to select a portfolio with maximum Sharpe ratio....
Raj TK, shares how he learnt Algo-Trading with EPAT even if he didn't come from a finance or programming background....
The year 2017 has been spectacular for QuantInsti - not only as an organization but also for all the aspiring Quants that we got a chance to serve and help pave a path towards a brighter future. Here is a look back at some of our highlights and accomplishments from the year 2017....