Nitesh Khandelwal's guest appearances

Nitesh Khandelwal

Better System Trader

Fintech Underground by Alpaca 

Algo Trading Concepts by QuantInsti

Ernest Chan

Jack Schwager

Gary Antonacci

Adam Butler

Andreas Clenow

Jerry Parker

Larry Connors

Bert Mouler

Stuart McPhee

Ryan Moffett

Linda Raschke

Aaron Brown

Adam Grimes

Brian Miller

George Costanza

OwlTail

In this episode, Yoshi Yokokawa, CEO and co-founder of Alpaca, interviews Nitesh Khandelwal.  As the Director of QuantInsti, a premier Algorithmic Trading Research and Training Institute, along with a Cofounder of a high-frequency firm, Nitesh discusses his prior experience in the algorithmic trading, startup, and fintech space. Any opinions expressed are opinions of the host and their guests. Alpaca Securities LLC does not recommend any specific investments or investment strategies.

In this episode, Yoshi Yokokawa, CEO and co-founder of Alpaca, interviews Nitesh Khandelwal.  As the Director of QuantInsti, a premier Algorithmic Trading Research and Training Institute, along with a Cofounder of a high-frequency firm, Nitesh discusses his prior experience in the algorithmic trading, startup, and fintech space. Any opinions expressed are opinions of the host and their guests. Alpaca Securities LLC does not recommend any specific investments or investment strategies.

Nitesh Khandelwal from QUANTINSTI #004

Backtesting and execution are such key parts of algorithmic trading so choosing the wrong platform can have a huge impact on our trading. There are loads of trading platforms available and a lot of considerations which need to be made when choosing one that suits our needs, so in this episode we’ll be discussing backtesting and execution platforms with Nitesh Khandelwal, department head at QuantInsti who also co-founded iRageCapital and iRage Global Advisory Services. After our chat on algorithmic trading platforms we’ll also cover statistical arbitrage, high frequency trading and some interesting audience questions, so listen out for those.Topics discussed The 3 key components to an algorithmic trading platform and the basic questions you need to answer before choosing a trading platform Why backtesting and execution platforms should be separate Choosing a programming language and why python has become a popular choice in trading The benefits and drawbacks of using python in trading Statistical Arbitrage, how it came about and the benefits of the approach The primary risks of statistical arbitrage, especially during times of market stress and how they can be reduced The most important factor in stat arb trading Common mistakes traders make when building statistical arbitrage models

Backtesting and execution are such key parts of algorithmic trading so choosing the wrong platform can have a huge impact on our trading. There are loads of trading platforms available and a lot of considerations which need to be made when choosing one that suits our needs, so in this episode we’ll be discussing backtesting and execution platforms with Nitesh Khandelwal, department head at QuantInsti who also co-founded iRageCapital and iRage Global Advisory Services. After our chat on algorithmic trading platforms we’ll also cover statistical arbitrage, high frequency trading and some interesting audience questions, so listen out for those.Topics discussed <ul> <li>The 3 key components to an algorithmic trading platform and the basic questions you need to answer before choosing a trading platform</li> <li>Why backtesting and execution platforms should be separate</li> <li>Choosing a programming language and why python has become a popular choice in trading</li> <li>The benefits and drawbacks of using python in trading</li> <li>Statistical Arbitrage, how it came about and the benefits of the approach</li> <li>The primary risks of statistical arbitrage, especially during times of market stress and how they can be reduced</li> <li>The most important factor in stat arb trading</li> <li>Common mistakes traders make when building statistical arbitrage models</li></ul>

047: Nitesh Khandelwal on how to choose an algorithmic trading platform and trading statistical arbitrage