September 24, Tuesday
8:30 AM EDT
6:00 PM IST
8:30 PM SGT
Meet the Speakers
Learn from the Pioneers who are shaping the Future of Algorithmic Trading
Peter Hafez
Chief Data Scientist, RavenPack
Paul Bilokon
Visiting Professor, Imperial College
Yashas Khoday
Co-Founder & CTO, FYERS
Kyle Balkissoon
Managing Partner & Portfolio Manager, Stance Capital
Nitesh Khandelwal
CEO & Co-founder, QuantInsti
Event Schedule | 24 September
Event Schedule
24 September
8:30 AM EDT
(6:00 PM IST)
(8:30 PM SGT)
Hands-on Workshop:
Get a walk-through of Jupyter Notebook which includes financial markets data analysis, model development, results, profitability, and more.
Live Questions & Answers:
Get your queries resolved by the world's leading experts in the domain in a live interactive fashion.
10:00 AM EDT
(7:30 PM IST)
(10:00 PM SGT)
Developing Trading Ideas: Unlock innovative strategies to stay ahead in the market.
Finding Trading Ideas: Discover the best sources to generate high-potential trading ideas.
Assessing Trading Strategies: Learn how to evaluate the effectiveness of different trading strategies.
Data Sources for Analytics: Explore essential data sources for analytics, backtesting, and live trading.
Who should attend?
Discretionary Traders
Aiming to benefit from data-driven finance
Systematic Traders
Seeking to expand their business with quantitative techniques
Financial Analysts & Quants
Wanting to apply their expertise in financial markets
Investment Enthusiasts
Eager to explore innovative trading methods
Register Now
About the Speakers
Past Events
How to Lose Money Trading Options | Dr. Euan Sinclair | Algo Trading Conference
Artificial Intelligence for Portfolio Management | By Dr Thomas Starke
What is Corrective AI and how it can improve your investment decisions | Dr Ernest Chan
The Ultimate Guide to Momentum Trading: Mastering Low and High Frequency Techniques
About QuantInsti
Founded by partners of iRage, One of Asia's Leading Algo Trading Firm
QuantInsti offers one of the world's most comprehensive ecosystems for Algorithmic & Quantitative Trading. Since 2010, QuantInsti has contributed to the trading journey for millions of people from 190+ countries. We assist professionals in learning and building expertise in the domain. We enable institutions to offer algorithmic trading tools to millions of their users by leveraging QuantInsti's institutional-grade technology & its trading platform
Executive Programme In Algorithmic Trading
When you learn algorithmic trading with EPAT, you’ll be able to:
- Develop your own automated trading system
- Experiment with cutting-edge AI models
- Analyze real-market data
- Master advanced statistics and econometrics concepts
- Get guidance to set up your own trading desk
- Receive your quantitative trading certification online
- Much More!
120+
Hours of Live Lecture
20+
Expert Faculty
10,000+
5 Star Ratings & Reviews
90+
Countries Reached
300+
Hiring Partners