Introduction
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.
This blog covers:
- Natural Language Processing in Trading | Masterclass
- Algorithmic Trading in Commodity Markets | Sunil Guglani
- EPAT Sneak Peek Lecture - How to Optimize a Trading Strategy?
- Create a Trading Strategy: Hands-on Online Workshop
- How Pandemics Impact the Financial Markets - A Quantitative Analysis
- Short Selling in Current Markets | Laurent Bernut
- Rewards and Perils of Mean Reversion Trading | Dr. Ernest Chan
- The World of Trading with Deep Reinforcement Learning | Dr. Thomas Starke
- What Impacts a Quant Strategy? | Panel Discussion
- Application of AI & News Sentiment in Finance | Research Presentation
- Hands-on Algorithmic Trading: From Ideation to Live Markets
- Options - The Real Game
- Predicting Stock Trends, Statistical Arbitrage and Sentiment Analysis | Algo Trading Projects
- Info Session on Algorithmic Trading with EPAT
Natural Language Processing in Trading | Masterclass
This masterclass explores how Natural Language Processing (NLP) is applied in financial markets, analyzing sentiment scores, comparing word embedding techniques, and showcasing its practical applications.
Speakers
- Terry Benzschawel – Founder of Benzschawel Scientific, LLC. Former Managing Director at Citigroup, heading the Quantitative Credit Trading group.
- Ishan Shah – AVP, Content & Research, QuantInsti. Previously worked with Barclays and Bank of America Merrill Lynch.
What We Covered
- Sentiment analysis in trading
- Daily sentiment score calculation
- Comparing different word embedding models
Why You Should Watch It
- Learn NLP applications in trading
- Compare sentiment analysis techniques
- Gain insights from top industry experts
🔗 Watch the Webinar
📑 Presentation Slides
Algorithmic Trading in Commodity Markets | Sunil Guglani
This session provides a complete guide to algorithmic trading for commodities, covering strategy formulation, backtesting, and deployment.
Speaker
- Sunil Guglani – Assistant VP, NCDEX. Former IT professional turned algorithmic trader, specializing in Python-based strategies.
What We Covered
- The stages of algorithmic trading
- Commodity trading strategies in Python
- Market data analysis and backtesting
Why You Should Watch It
- Learn how to build and optimize commodity trading strategies
- Covers complete algo trading workflow
- Ideal for traders and technologists
🔗 Watch the Webinar
📑Presentation Slides
https://www.slideshare.net/QuantInsti/algorithmic-trading-in-commodity-markets-by-sunil-guglani-227864480
📂 Code Files https://github.com/QuantInsti/webinars/tree/master/Algorithmic%20Trading%20in%20Commodity%20Markets
EPAT Sneak Peek Lecture - How to Optimize a Trading Strategy?
A preview of EPAT’s trading strategy optimization module, discussing risk management, performance enhancement, and market simulation.
Speaker
- Prodipta Ghosh – VP, QuantInsti. Former Deutsche Bank trader and scientist at DRDO.
What We Covered
- The journey of a trading strategy
- Backtesting and optimization
- Simulated trading environments
Why You Should Watch It
- Great introduction to EPAT’s learning experience
- Learn about strategy improvement techniques
- Understand risk management and performance tuning
🔗 Watch the Webinar
📑 Presentation Slides
https://www.slideshare.net/QuantInsti/epat-sneak-peek-lecture-how-to-optimize-a-trading-strategy-with-prodipta-ghosh
📂Code Files https://github.com/QuantInsti/webinars/tree/master/Algorithmic%20Trading%20in%20Commodity%20Markets
Create a Trading Strategy: Hands-on Online Workshop
A hands-on session guiding traders in creating and testing trading strategies across asset classes.
Speaker
- Ishan Shah – AVP, Content & Research, QuantInsti. Expert in global markets and quantitative finance.
What We Covered
- Developing a trading strategy
- Backtesting and validation techniques
- Analyzing performance metrics
Why You Should Watch It
- Learn practical strategy creation and testing
- Suitable for traders across asset classes
- Gain valuable insights from industry experts
🔗 Watch the Webinar
📑 Presentation Slides
https://www.slideshare.net/QuantInsti/create-a-trading-strategy-handson-online-workshop
How Pandemics Impact the Financial Markets - A Quantitative Analysis
This webinar provides a quantitative analysis of how pandemics affect global financial markets, comparing historical events to COVID-19.
Speaker
- Ishan Shah – AVP, Content & Research, QuantInsti. Former Global Markets team member at Barclays and Bank of America Merrill Lynch.
What We Covered
- Historical pandemics and market impact
- Data visualization using Python
- Sector-wise performance comparison
Why You Should Watch It
- Understand how pandemics influence financial markets
- Learn Python techniques for financial data analysis
- Compare past and present economic impacts
🔗 Watch the Webinar
📑 Presentation Slides
https://www.slideshare.net/QuantInsti/how-pandemics-impact-the-financial-markets-a-quantitative-analysis
Short Selling in Current Markets | Laurent Bernut
This two-hour session covers advanced short-selling techniques, market regimes, and how to navigate bear markets effectively.
Speaker
- Laurent Bernut – CEO, Alpha Secure Capital. Former dedicated short seller at Fidelity Investments with over 18 years of experience in alternative investments.
What We Covered
- Understanding floor/ceiling market frameworks
- Bear market rallies and short-selling strategies
- Navigating market regimes post-stimulus measures
Why You Should Watch It
- Learn short-selling techniques from an industry expert
- Understand how to navigate volatile market conditions
- Get practical insights with real-world examples
🔗 Watch the Webinar
Rewards and Perils of Mean Reversion Trading | Dr. Ernest Chan
Dr. Ernest Chan shares insights on the risks and rewards of mean reversion trading, detailing how his fund navigated financial crises.
Speaker
- Dr. Ernest Chan – Founder & CEO, PredictNow.ai. A leading expert in quantitative finance, with experience at Morgan Stanley, Credit Suisse, and Mapleridge.
What We Covered
- The fundamentals of mean reversion trading
- How mean reversion strategies perform in crises
- Techniques to mitigate trading risks
Why You Should Watch It
- Learn from a leading quant trading expert
- Understand how to manage risks in mean reversion strategies
- Get insights into real-world trading fund experiences
🔗 Watch the Webinar
The World of Trading with Deep Reinforcement Learning | Dr. Thomas Starke
An introduction to Deep Reinforcement Learning (DRL) and its applications in trading through gamification techniques.
Speaker
- Dr. Thomas Starke – CEO, AAAQuants. Former senior research fellow at Oxford University and an expert in quantitative trading.
What We Covered
- Introduction to Deep Reinforcement Learning
- How AI models outperform human traders
- Practical applications of DRL in trading
Why You Should Watch It
- Learn about AI-driven trading techniques
- Understand the power of reinforcement learning in markets
- Gain knowledge from an AI and trading expert
🔗 Watch the Webinar
What Impacts a Quant Strategy? | Panel Discussion
A panel discussion featuring top quant experts discussing key factors affecting quantitative trading strategies.
Panelists
- Vivek Krishnamoorthy – Head of Content & Research, QuantInsti
- Nicolas Rabener – Founder & CEO, FactorResearch
- Laurent Bernut – CEO, Alpha Secure Capital
- Radovan Vojtko – CEO, Quantpedia
What We Covered
- Systematic vs discretionary trading
- Evaluating the effectiveness of a quant strategy
- When to deploy and retire trading strategies
Why You Should Watch It
- Get insights from multiple industry experts
- Understand how to evaluate and refine trading models
- Learn about different approaches in quantitative finance
🔗 Watch the Webinar
Application of AI & News Sentiment in Finance | Research Presentation
Two expert-led presentations on using AI for credit risk modeling and long-term enterprise valuation prediction.
Speakers
- Dr. Xiao Qiao – Co-Founder, Paraconic Technologies. Expert in asset pricing and financial econometrics.
- Prof. S Chandrasekhar – Director, Business Analytics, IFIM Business School. Former faculty at IIM Lucknow.
What We Covered
- AI for credit risk modeling
- Predicting enterprise valuation using machine learning
- Applications of AI and NLP in finance
Why You Should Watch It
- Learn AI-based techniques for financial modeling
- Understand how deep learning is used in credit risk analysis
- Get insights from renowned finance researchers
🔗 Watch the Webinar
Hands-on Algorithmic Trading: From Ideation to Live Markets
A practical masterclass on creating, backtesting, and deploying an algorithmic trading strategy.
Speakers
- Dr. Hui Liu – Founder, Running River Investments LLC. Author of IBridgePy.
- Aditya Gupta – Quant Researcher, QuantInsti. Expert in alternative investments and derivatives trading.
What We Covered
- Developing a systematic trading strategy
- Using IBridgePy for backtesting and live trading
- Execution and market deployment
Why You Should Watch It
- Learn to build and deploy a trading strategy step-by-step
- Gain hands-on experience with trading APIs
- Get practical trading insights from experienced quants
🔗 Watch the Webinar
Options - The Real Game
An interactive session covering the fundamentals of options trading, Greeks, and strategy adjustments.
Speaker
- Vishnu Bharath – Independent Options Trader. Former telecom engineer turned professional trader.
What We Covered
- Understanding Option Greeks
- Strategy adjustments in options trading
- Leveraging algorithmic systems for options
Why You Should Watch It
- Learn options trading from a seasoned expert
- Understand how to manage risk using Greeks
- Get practical insights on real-world options trading
🔗 Watch the Webinar
Predicting Stock Trends, Statistical Arbitrage and Sentiment Analysis | Algo Trading Projects
A showcase of three EPAT alumni projects on predictive trading, statistical arbitrage, and sentiment analysis.
Speakers
- Desigan Reddy – Fixed Income Dealer. Expert in technical analysis and machine learning.
- Javier Cervantes – Corporate Bond Trader. Specializes in statistical arbitrage.
- Siddhant Vaidya – Research Analyst. Expert in sentiment analysis and algorithmic trading.
What We Covered
- Using Random Forests for stock trend prediction
- Statistical arbitrage models in the Mexican stock market
- Trading equities using sentiment analysis
Why You Should Watch It
- Learn from real-world trading projects
- Understand how different models perform in markets
- Gain practical insights into algo trading techniques
🔗 Watch the Webinar
Info Session on Algorithmic Trading with EPAT
A comprehensive overview of EPAT and how it prepares traders for the algorithmic trading industry.
Speaker
- Nitesh Khandelwal – Co-Founder & CEO, QuantInsti. Co-founder of iRage, a leading algo trading firm.
What We Covered
- Why quantitative trading is growing
- How EPAT bridges the knowledge gap in algorithmic trading
- Career opportunities in algo trading
Why You Should Watch It
- Get a detailed overview of the EPAT program
- Learn how to build a career in algorithmic trading
- Understand the benefits of structured quant education
🔗 Watch the Webinar
Conclusion
QuantInsti’s 2020 webinar series covered a broad range of topics, from machine learning and NLP to strategy optimization and risk management. Whether you're a beginner or an experienced trader, these sessions provide valuable insights and hands-on learning experiences to enhance your trading knowledge.
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
