Nitesh Khandelwal is Chief Executive Officer of QuantInsti. He started his career in the Banking sector on the treasury side. After working in a proprietary trading firm as a lead, he co-founded iRage in 2009. In his capacity as the business lead of iRage, iRage went on to become one of the leading players in the Algorithmic Trading space in India. In 2016, he moved his focus to QuantInsti®, an Algorithmic trading and research institute that he co-founded in 2010, as its CEO. Under his leadership, QuantInsti has been working towards bringing knowledge and access to scientific & technology-oriented trading to the masses & institutions across the globe and has already been helping its registered users from 170+ countries in achieving the same. Nitesh holds an Electrical Engineering degree from IIT Kanpur with a postgraduate degree in Management from IIM Lucknow.
IN CONVERSATION WITH
Mr. Vivek Bajaj
The passion for data, analytics and technology is what makes Vivek Bajaj a financial market survivor. The journey as a market participant started in 2002 when the first trade was executed in the options contract of ITC. Life was simpler and easier during that time. Since then technology and Big data have taken over totally. As an early adapter to the complex tools, Kredent was formed to capitalise on the opportunities. He is co-founder of StockEdge and is committed to bring simplicity in the complex world of market data. He is a Chartered Accountant, Company Secretary and an MBA from IIM Indore. He is a part of various committees of exchanges and regulator and he has been an active contributor in the evolution of Indian Derivatives Market.
About this Face2Face:
In this episode, we have with us Mr. Vivek Bajaj, who will decode the secrets of Algo trading with Mr. Nitesh Khandelwal, an Algo trader and the director of QuantInsti, one of the largest Algo trading desks in India and a leading Algo trading institute.
Watch this Face2Face video to know more about the journey of Mr. Nitish Khandelwal, from an engineer to a desk trader to the creator of a system that can help people adapt to the various technological changes in the fields of trading and investing.
This video is a great source of information for those who want to build a foundation in Algo trading. Watch Mr. Bajaj and Mr. Khandelwal engage in a candid conversation about the basics of Algo trading, which can help beginners completely understand exactly what this field represents in the trading sector.
Algorithmic trading might seem very complicated, but with this video, Mr. Bajaj aims to prove to you that anyone with an academic background can pick up techniques in Algo trading if they want to do and if they can develop an analytical perspective to their trades.
We will discuss systematic trading, which Mr. Khandelwal considers to be the first step in understanding the definition of Algo trading. Usually, people use algorithms for statistical purposes, but in this video, we will also discuss the scope of algorithms for investment and fundamental and technical analysis and trading.
We will also describe the basics of how we can pick up the essential components of Algo trading, from syntax to statistics to hypothesis creation and as well as its testing and validation and creating and optimizing a good model of trading. Additionally, Mr. Khandelwal will define a path for someone who knows the basics of technicals but they haven’t been able to start their journey with Algo trading. With a set objective, good willpower, the necessary skills, a great base of knowledge of the financial markets and the knowledge of those tools which will be required to practice your skills and trade live in the market, you will be set on the path to becoming a proficient algo trader.
Mr. Nitesh Khandelwal will also discuss an easy example of a systematic trade with some algorithmic code as well. He will also explain the functions of the different components of the code and some technical indicators and ratios as well, and the importance of learning. These components make successful trades in the market with computational finance.
With QuantInsti, you can access some great free and self-paced content, like courses and blogs, ranging from the topics of data finance, python, machine learning (ML) and trading basics which can help you decide if algo and quants are the best things for you.