At QuantInsti, our commitment to delivering quality education and empowering technology is reflected in our collaborations with renowned institutions and industry leaders. Together, we drive the future of algorithmic trading by fostering innovation and knowledge-sharing through strategic alliances and impactful events.
To reach our vision of making algorithmic trading accessible to all, QuantInsti hosts Free Learning Sessions featuring prominent industry leaders who share their insights and expertise. These sessions often attract around 10,000 registrations and 5,000 attendees, helping us bring our mission to life by reaching a wide audience. While some events are exclusively available to EPAT alumni, the majority are open to everyone, ensuring broad access to cutting-edge knowledge in algorithmic trading.
- Why, What, and How of Short Selling with Laurent Bernut
- Algorithmic Trading in FX Markets by Dr. Alexis Stenfors
- Info Session on Algorithmic Trading
- Quantitative Portfolio Management Strategies by Prodipta Ghosh
- Latest Backtesting Features of IBridgePy by Dr. Hui Liu
- Machine Learning in Trading Q and A with Dr. Ernest P. Chan
- Predicting Trends in Stock Markets Using AI and Python programming
- Backtesting and Live Trading with Interactive Brokers using Python
- Algorithmic Trading – Why Make the Move?
Why, What, and How of Short Selling with Laurent Bernut
Short selling is a critical skill for traders building long/short portfolios. This session explores the mechanics of short selling, risk management techniques, and how to generate high-probability trade ideas.
Speakers
Laurent Bernut – CEO, Alpha Secure Capital
With 18+ years of experience in hedge funds and proprietary trading, Laurent has specialized in short-selling and quantitative strategies. He was a dedicated short seller at Fidelity Investments, working in the Japanese equities market during one of the longest bear markets in history. His expertise in alternative investment strategies makes him a sought-after consultant for hedge funds and institutional traders.
What We Covered
- Why short selling is important
- How to identify short opportunities
- Risk management in short selling
- Portfolio allocation for short trades
Why You Should Watch It
- Learn short selling strategies used by hedge funds
- Understand how to manage volatility and risk in short positions
- Discover high-probability trade ideas
Video Link:
Algorithmic Trading in FX Markets by Dr. Alexis Stenfors
This session explores high-frequency trading (HFT) and algorithmic trading in FX markets, covering unique market conventions, liquidity dimensions, and empirical observations.
Speakers
Dr. Alexis Stenfors – Senior Lecturer, University of Portsmouth & MD, Alexis Stenfors & Co.
Dr. Stenfors is a former FX trader at HSBC, Citi, Crédit Agricole, and Merrill Lynch. He spent 15 years in banking, trading foreign exchange and interest rate derivatives. His book, "Barometer of Fear", details one of the greatest banking scandals in history. He is a public speaker and consultant on financial markets, risk management, and compliance.
What We Covered
- How FX markets differ from equity markets
- Importance of liquidity in FX trading
- Key trends in algorithmic FX trading
- High-frequency trading strategies in FX
Why You Should Watch It
- Understand the unique aspects of FX trading
- Learn algorithmic and high-frequency strategies for FX markets
- Get insights from an experienced FX trader
Video Link:
Presentation: https://www.slideshare.net/slideshow/algorithmic-trading-in-fx-market-by-dr-alexis-stenfors/129996255
Info Session on Algorithmic Trading
A beginner-friendly session covering market trends, risk management, and career paths in algorithmic trading.
Speakers
Nitin – Co-founder, Alphom Advisory
A former iRage Options Market Making team member, Nitin has a strong background in quantitative finance and high-frequency trading. He has worked extensively on volatility estimation, statistical modeling, and algorithmic strategy development.
What We Covered
- Introduction to algorithmic trading
- Growth and future of algo trading
- Risk measures and technology trends
- Career opportunities in algo trading
Why You Should Watch It
- Understand how algorithmic trading works
- Explore career opportunities in algo trading
- Learn about key risk factors and trends
Video Link:
Quantitative Portfolio Management Strategies by Prodipta Ghosh
This session focuses on portfolio construction and risk optimization using quantitative finance methods.
Speakers
Prodipta Ghosh – VP, QuantInsti
Prodipta has over a decade of experience in the banking industry, having worked at Deutsche Bank in Mumbai & London and Standard Chartered Bank. He has a strong background in trading, structuring, and risk management.
What We Covered
- How to construct a diversified portfolio
- Risk minimization techniques
- Optimization strategies for better returns
Why You Should Watch It
- Learn quantitative techniques for portfolio management
- Discover risk-adjusted return strategies
Video Link:
Latest Backtesting Features of IBridgePy by Dr. Hui Liu
A hands-on tutorial on backtesting trading strategies using IBridgePy and Interactive Brokers (IB).
Speakers
Dr. Hui Liu – Author of IBridgePy, Expert in Python-based Algorithmic Trading
Dr. Liu is the creator of IBridgePy, an open-source software for trading with Interactive Brokers. He has a PhD from the University of Virginia and has worked extensively in quantitative trading and portfolio management.
What We Covered
- Backtesting strategies using IB data
- Using local CSV files for historical data
- Live trading with Interactive Brokers
Why You Should Watch It
- Learn how to backtest trading strategies
- Get hands-on experience with IBridgePy
Video Link:
Machine Learning in Trading Q and A with Dr. Ernest P. Chan
An interactive Q and A session on AI and machine learning applications in finance.
Speakers
Dr. Ernest P. Chan – Founder & CEO of PredictNow.ai Inc.
Dr. Chan has worked at Morgan Stanley, Credit Suisse, and hedge funds such as Mapleridge and Millennium Partners. He is the author of multiple books on quantitative trading and specializes in machine learning and AI-driven strategies.
What We Covered
- AI techniques in trading
- Machine learning models for finance
- Common challenges in AI-driven trading
Why You Should Watch It
- Understand how machine learning is applied in trading
- Learn from one of the top minds in quant finance
Video Link:
Predicting Trends in Stock Markets Using AI and Python Programming
This session is a hands-on learning tutorial where participants learn how to predict stock market trends using Artificial Intelligence (AI) and Python. It includes building a classification tree model, using real market data to generate trading rules.
Speakers
Varun Divakar – AI Expert & Faculty at QuantInsti
Varun heads the Quantra Research & Development team at QuantInsti. His team specializes in developing quantitative trading strategies using AI and machine learning. He has over 12 years of experience in financial markets as a manual and quantitative trader. Previously, he worked as an Algorithmic Trading Consultant for a New York-based firm and was a successful commodities trader with Futures First.
What We Covered
- Building a decision tree model for trading
- Data visualization in Python
- Understanding predictor variables and target variables
- Trading indicators for market trend prediction
- Hands-on coding session with real stock market data
Why You Should Watch It
- Gain practical experience in AI-driven trading
- Learn how to implement machine learning models in finance
- Work on real market datasets in Python
Video Link:
Presentation: https://blog.quantinsti.com/predict-trends-stock-markets-webinar-5-september-2019/
Backtesting and Live Trading with Interactive Brokers Using Python
A step-by-step tutorial on backtesting and live trading strategies using IBridgePy and Interactive Brokers (IB). This webinar covers automating trades, analyzing trading results, and integrating APIs.
Speakers
Dr. Hui Liu – Author of IBridgePy, Expert in Python-based Algorithmic Trading
Dr. Liu is the creator of IBridgePy, a Python-based trading framework for Interactive Brokers. He has a PhD from the University of Virginia and has worked on automated trading strategies in equities and forex markets.
What We Covered
- Installing and setting up IBridgePy
- Developing a basic trading strategy
- Backtesting strategies using historical IB data
- Implementing live trading with Interactive Brokers
- Analyzing trading results and performance
Why You Should Watch It
- Learn how to automate trading strategies
- Understand backtesting techniques using real market data
- Get hands-on experience with IBridgePy
Video Link:
Algorithmic Trading – Why Make the Move?
A deep dive into why quantitative and algorithmic trading has transformed financial markets. This session is for traders who want to upgrade their trading approach using data-driven methods.
Speakers
Vivek Krishnamoorthy – Head of Content & Research at QuantInsti
Vivek teaches Python for financial markets, quantitative trading strategies, and time series analysis. He has worked in corporate finance, financial modeling, and portfolio management at leading institutions across India, Singapore, and Canada.
Ashutosh Dave – Senior Associate, Content & Research at QuantInsti
Ashutosh has over a decade of experience in derivatives trading and quantitative finance. He holds a Master’s in Statistics from the London School of Economics (LSE) and is a Certified Financial Risk Manager (FRM).
What We Covered
- Evolution of trading and investing in the last two decades
- Challenges faced by manual traders
- Why algorithmic trading is superior to traditional approaches
- How to combine quantitative and technical analysis
Why You Should Watch It
- Understand why algo trading is the future
- Learn how to transition from manual to algorithmic trading
- Explore real-world case studies and industry insights
Video Link:
Conclusion
These 2019 webinars covered essential topics in algorithmic trading, machine learning and more. Whether you're a beginner or an experienced trader, these sessions offer valuable knowledge and real-world applications to enhance your trading strategies.
Next Steps
- Explore EPAT: https://www.quantinsti.com/epat
- Check out Quantra: https://quantra.quantinsti.com/
- Try Blueshift: https://www.quantinsti.com/blueshift
- Stay Updated on Webinars: https://blog.quantinsti.com
