By QuantInsti
Contents
- Decoding Volatility: Your Options Trading Edge
- Unlocking the Power of Machine Learning in Trading
- Algorithmic Trading Workshop 2023
- Factor Investing with Algorithmic Trading
- Algorithmic Day Trading Strategies
- ChatGPT for Quants
- Volatility Trading Strategies Using Options by Dr. Euan Sinclair
- Introduction to Medium-Frequency Trading: Trading in Milliseconds
- Applications of Machine Learning in Options Trading
- ChatGPT and Machine Learning in Trading
- Understanding Financial Market Behaviour: The Role of Multiple Categories of Data
- Introduction to Quantitative Factor Investing
- Machine Learning for Options Trading
Decoding Volatility: Your Options Trading Edge
Volatility plays a crucial role in the options trading landscape, and gaining an edge often hinges on how well you can understand and predict it. This webinar dives into the essence of ‘edge,’ how to categorize it, and how to harness volatility to build effective trading strategies.
Speaker
Rushda Ansari & Akshay Choudhary
What We Covered
- How to gain and categorize ‘edge’ in trading
- Predictable nature of volatility and why it matters
- Estimating volatility: Methods and best estimators
- Practical insights: Volatility Spread and real-life application
Why You Should Watch It
- Ideal for traders seeking to deepen their understanding of volatility’s role in options
- Offers a balanced mix of theoretical foundations and practical applications
- Provides tools for effective risk management
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Unlocking the Power of Machine Learning in Trading
Machine learning has been reshaping the trading landscape by providing advanced tools and strategies to investors. This webinar covers ML fundamentals, various algorithms, real-world applications in trading, ML-based trading systems, and live demonstrations of trading signals.
Speaker
Varun Kumar Pothula, Quantitative Analyst at QuantInsti
What We Covered
- Basics of machine learning and its significance in trading
- Overview of popular ML algorithms
- Real-world trading applications and system insights
- Evaluating and implementing ML-based trading strategies
Why You Should Watch It
- Get an in-depth introduction to ML from a trading perspective
- Understand practical use cases through real-world examples
- Learn how to build and evaluate ML-based strategies
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Algorithmic Trading Workshop 2023
A 3-hour, hands-on workshop on “Building algo trading strategies using the trifecta of Python, AI, and ChatGPT.” The workshop unfolds in two sessions covering Python’s role in quant strategy development, real-world AI applications, and how ChatGPT can be integrated in the trading lifecycle.
Speakers
- Vivek Krishnamoorthy, Head Of Content & Research at QuantInsti
- Varun Kumar Pothula, Quantitative Analyst at QuantInsti
What We Covered
- Foundations of algorithmic trading using Python
- Building and backtesting trading strategies in Python
- AI and ML usage in markets, including real-world demos
- Integrating ChatGPT for trading tasks and strategy development
Why You Should Watch It
- Ideal for tech-savvy individuals looking to automate or enhance trading strategies
- Step-by-step guidance on Python implementations and machine learning workflows
- Special focus on leveraging ChatGPT in the trading lifecycle
Watch the Workshop
Factor Investing with Algorithmic Trading
This follow-up webinar discusses the practical application of factor investing strategies using algorithmic trading methods. From core factor investing principles to building factor-based trading models and backtesting, this session provides actionable insights for systematic, data-driven investing.
Speaker
Rekhit Pachanekar, Sr. Quant Associate at QuantInsti
What We Covered
- Integrating factors into algorithmic trading models
- Principles of factor investing for enhanced portfolio performance
- Building and evaluating a factor-based trading strategy
- Real-world examples and interactive Q&A
Why You Should Watch It
- Learn how factor strategies can be systematically implemented
- Discover new ways to optimize portfolio performance
- Ideal for those looking to merge fundamental factors with quantitative techniques
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Algorithmic Day Trading Strategies
Explore the fast-paced world of day trading through an algorithmic lens. Learn about the building blocks of algo trading, various day trading strategies, and how to leverage data analysis and automation for informed decisions.
Speaker
Rekhit Pachanekar, Sr. Quant Associate at QuantInsti
What We Covered
- Building blocks of algorithmic trading
- Types of day trading strategies and their mechanics
- Python-driven strategy development and backtesting
- Risk management and automation techniques
Why You Should Watch It
- Perfect for day traders looking to transition to algorithmic methods
- Demonstrates how to optimize and automate day trading strategies
- Provides real-world insights for balancing risk and reward
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ChatGPT for Quants
A deep dive into Large Language Models (LLMs) like ChatGPT, AutoGPT, and LangChain, focusing on their potential applications in finance. This webinar highlights where quant traders can leverage these AI tools, how they can reshape future trading strategies, and the skill sets needed.
Speaker
Vivek Krishnamoorthy, Head Of Content & Research at QuantInsti
What We Covered
- Fundamentals of LLMs in finance
- Use cases for quant traders (automation, NLP, data extraction, more)
- Integrations with ChatGPT and AutoGPT for trading workflows
- Ethical considerations and future trends
Why You Should Watch It
- Stay ahead of the curve with AI-driven trading solutions
- Uncover how language models can streamline strategy development
- Learn about necessary skills and ethical considerations
Watch the Webinar
Volatility Trading Strategies Using Options by Dr. Euan Sinclair
Dr. Euan Sinclair, a veteran options trader with 27+ years of experience, shares his in-depth knowledge of volatility strategies. Learn how to use option pricing models, estimate volatility effectively, and apply quantitative methods for better trading decisions.
Speaker
Dr. Euan Sinclair – Author of “Options Trading,” “Volatility Trading,” and “Positional Option Trading.”
What We Covered
- Importance of volatility in options trading
- Using and understanding option pricing models
- Practical approaches to creating profitable volatility strategies
- Insightful Q&A session with a seasoned industry expert
Why You Should Watch It
- Get exclusive insights from a well-known volatility trader
- Understand how to integrate volatility into your trading framework
- Learn about advanced quantitative methods for options trading
Watch the Webinar
Introduction to Medium-Frequency Trading: Trading in Milliseconds
This session explores medium-frequency trading—an advanced approach operating at speeds higher than traditional quant strategies. Attendees learn about the concepts, tools, benefits, and challenges of medium-frequency trading, including the role of technology and data analysis.
Speaker
Dr. Ernest Chan – CEO of Predictnow.ai and an award-winning quantitative hedge fund manager.
What We Covered
- Fundamentals of medium-frequency trading
- Key strategies and technologies enabling millisecond-level trades
- Comparison with high-frequency and traditional quant trading
- Real-world examples and Q&A
Why You Should Watch It
- Gain exposure to a niche but rapidly growing segment of trading
- Learn from a recognized industry expert in quant and machine learning
- Understand the technological and analytical prerequisites
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Applications of Machine Learning in Options Trading
Explore the four major ways machine learning is revolutionizing options trading—predicting underlying assets, pricing options, forecasting implied volatility, and selecting the best strategy. This webinar also includes strategy performance evaluation, NLP for sentiment analysis, and a Q&A session.
Speaker
QuantInsti Team Webinar
What We Covered
- Predicting the behavior of underlying assets
- ML-driven options pricing
- Forecasting implied volatility
- Machine learning techniques for strategy selection and performance evaluation
- NLP applications in trading
Why You Should Watch It
- Perfect for those looking to apply ML in a specialized area—options trading
- Comprehensive coverage from prediction to strategy deployment
- Includes additional insights like vertical spreads trading with ML
Watch the Webinar
ChatGPT and Machine Learning in Trading
This session offers an overview of ChatGPT and ML, including how to integrate these technologies into trading. Attendees learn real-world examples of successful implementations, as well as potential challenges and risks.
Speaker
Varun Kumar Pothula – Quantitative Analyst at QuantInsti
What We Covered
- Basics of ChatGPT and machine learning in trading
- Practical integration strategies and examples
- Discussion of associated challenges and risk factors
- Interactive Q&A
Why You Should Watch It
- Gain an overview of both LLM and ML synergy in trading
- Explore real-world use cases demonstrating tangible benefits
- Understand the hurdles and how to navigate them
Watch the Webinar
Understanding Financial Market Behaviour: The Role of Multiple Categories of Data
Financial markets are influenced by diverse data streams, from news to micro-blogs. This webinar brings together experts to discuss research findings, real-world use cases of alternative data, and strategies for extracting ‘alpha’ from these evolving data sources.
Speakers
- Dr. Ernest Chan – CEO of Predictnow.ai
- Prof. Gautam Mitra – Founder and MD of OptiRisk Systems
- Dr. Matteo Campellone – Co-founder and Executive Chairman, Brain
What We Covered
- Impact of synchronous and asynchronous data in financial markets
- Use cases of alternative data in trading and fund management
- Research and real-world insights from leading experts
- Q&A on finding alpha and market efficiency
Why You Should Watch It
- Learn about the latest trends in alternative data usage
- Hear from a panel of experts with varied backgrounds
- Discover how to incorporate multiple data categories for actionable insights
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Introduction to Quantitative Factor Investing
Factor investing is a cornerstone of modern finance, and this session covers everything from the basics of factor investing to due diligence considerations. Learn about the application of quantitative methods—such as modeling and data analysis—for factor analysis and strategy creation.
Speaker
Varun Kumar Pothula – Quantitative Analyst at QuantInsti
What We Covered
- What quantitative factor investing is and how it works
- Benefits of factor investing
- Common factor-based strategies
- How to select the best factors using quantitative methods
- Interactive Q&A
Why You Should Watch It
- Solid introduction for anyone new to factor investing
- Hands-on tips for integrating factor strategies in a quantitative framework
- Ideal for investors seeking systematic approaches to portfolio optimization
Watch the Webinar
Machine Learning for Options Trading
Dive deeper into the intersection of machine learning and options trading strategies. From options pricing to trading vertical spreads using ML, this webinar offers a structured approach to forecasting implied volatility and predicting optimal strategies.
Speaker
Varun Kumar Pothula – Quantitative Analyst, Content & Research at QuantInsti
What We Covered
- Why machine learning is essential for options trading
- ML for options pricing
- Trading vertical spreads with machine learning
- Forecasting implied volatility and deploying the right strategy with ML
- Best practices and Q&A
Why You Should Watch It
- Step-by-step exploration of ML-driven options strategies
- Ideal for traders who want to enhance their options trading with predictive analytics
- Covers essential pre-requisites and advanced concepts in a single session
Watch the Webinar
Conclusion
QuantInsti’s 2023 webinars encapsulated the latest trends, strategies, and technologies in algorithmic and quantitative trading. From machine learning and factor investing to leveraging ChatGPT and exploring medium-frequency trading, there’s something for every trader to learn and apply.
Next Steps
- Explore 2024 Webinars: https://blog.quantinsti.com/collaborations-impact-quantinsti-2024/
- Learn with EPAT: https://www.quantinsti.com/epat
- Explore Quantra (self-paced trading courses): https://quantra.quantinsti.com/
- Try Blueshift (algo trading platform): https://blueshift.quantinsti.com/
