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.
Index
- Full Algo Trading Course: Learn Algorithmic Trading
- Create Your Own Python Trading Bot
- What Is Paper Trading and How To Use It to Your Advantage
- Build Your Trading Algorithm from Scratch
- Automated Trading: How To Automate A Trading Strategy
- Before You Get Into Quant and Algorithmic Trading
- How To Become a Successful Quant Trader
- How to Choose the Best Stocks and Live Trade by Dr. Hui Liu
- Short selling in the bull market - A Masterclass by Laurent Bernut
- Using Sentiment and Alternative Data in Trading
- Current Trends in Quant Finance
- Artificial Intelligence in Trading
- Application of Machine Learning in Trading
- Implementing Pricing Model and Dynamic Asset Allocation
Full Algo Trading Course: Learn Algorithmic Trading
(3-Day Workshop)
Description
This 3-day online workshop introduces participants to systematic and quantitative trading, trading strategy paradigms, and backtesting techniques using Python and visual coding.
Speakers
- Vivek Krishnamoorthy (Head of Content & Research, QuantInsti)
- Ashutosh Dave (Senior Associate, Content & Research, QuantInsti)
- Jay Parmar (Associate, Content & Research, QuantInsti)
What We Covered
- Introduction to algorithmic trading
- Strategy development, universe selection, and backtesting
- Hands-on strategy implementation using Blueshift
Why You Should Watch It
- Step-by-step guidance for beginners in algo trading
- Learn how to backtest and optimize trading strategies
- Hands-on practical examples
Watch the Webinar
- Part 1:
- Part 2:
- Part 3:
Create Your Own Python Trading Bot
Learn Algorithmic Trading with Expert Guidance
Description
Learn how to design, develop, and implement a Python trading bot, including backtesting, live deployment, and performance analysis.
Speaker
- Satyapriya Chaudhari (Quant Analyst, QuantInsti)
What We Covered
- Setting up the Python environment for trading
- Developing a trading strategy and backtesting it
- Deploying and optimizing trading bots
Why You Should Watch It
- Ideal for traders looking to automate their strategies
- Hands-on guidance for backtesting and live deployment
- Covers Python libraries essential for algo trading
Watch the Webinar
What Is Paper Trading How To Use It to Your Advantage?
[Complete Tutorial]
Description
A complete tutorial on paper trading, how it works, and how traders can use it to test strategies risk-free.
Speaker
- Rekhit Pachanekar (Quant Analyst, QuantInsti)
What We Covered
- What is paper trading and why it’s useful
- Best platforms for paper trading
- Do’s and don’ts when using paper trading
Why You Should Watch It
- Essential for beginners before risking real money
- Helps refine trading strategies through simulated trading
- Covers different paper trading platformsWatch the Webinar
Build Your Trading Algorithm from Scratch
Algo Trading Tutorial
Description
A beginner-friendly tutorial on the fundamentals of algorithmic trading and how to create trading algorithms.
Speaker
- Ashutosh Dave (Senior Associate, Content & Research, QuantInsti)
What We Covered
- Trading algorithms and their components
- Developing and testing trading strategies
- Understanding market data and signals
Why You Should Watch It
- Perfect for those starting their algorithmic trading journey
- Covers practical steps to build and test trading algorithms
- Hands-on approach to strategy development
Watch the Webinar
Automated Trading: How To Automate A Trading Strategy
Description
This session explores the fundamentals of automated trading and showcases step-by-step implementation techniques.
Speaker
- Rishabh Mittal (Quantitative Analyst, Quantra by QuantInsti)
What We Covered
- Introduction to automated trading
- Connecting to a broker and placing live trades
- Strategy creation, testing, and automation
Why You Should Watch It
- Learn to automate trading strategies effectively
- Covers broker integration for live trading
- Helps transition from manual to automated tradingWatch the Webinar
Before you get into quant and algorithmic trading
[Panel Discussion] | Algo Trading Week Day 0
Description
A panel discussion featuring industry leaders, providing insights into the essentials of quant and algorithmic trading for beginners.
Panelists
- Ishan Shah (AVP, Content & Research, QuantInsti)
- Nitesh Khandelwal (Co-Founder & CEO, QuantInsti)
- Prodipta Ghosh (VP, QuantInsti)
- Rajib Ranjan Borah (CEO & Director, iRage | Co-Founder, QuantInsti)
- Vivek Krishnamoorthy (Head of Content & Research, QuantInsti)
What We Covered
- Career opportunities in quant trading
- The relevance of coding and mathematics in algorithmic trading
- Building a strong foundation before entering quant trading
Why You Should Watch It
- Get expert insights before diving into algorithmic trading
- Learn about the required skill sets and educational paths
- Ideal for students, professionals, and aspiring quants
Watch the Webinar
How to Become a Successful Quant Trader
Dr Ernest Chan | Algo Trading Week Day 1
Description
Dr. Ernest Chan shares valuable insights on how to build a career in quantitative trading, covering essential skills, market competitiveness, and quant fund preparation.
Speaker
- Dr. Ernest Chan (Founder & CEO, PredictNow.ai)
What We Covered
- Steps to becoming a successful quant trader
- The importance of Ph.D. in quant trading
- Use of AI, machine learning, and statistical models in trading
Why You Should Watch It
- Learn directly from a leading quant trading expert
- Understand how to prepare for quant hedge funds
- Covers trading strategies, algorithmic skills, and statistical tools
Watch the Webinar
How to choose the best stocks and live trade by Dr. Hui Liu
Algo Trading Week Day 2
Description
Dr. Hui Liu explains stock selection methodologies and demonstrates live trading strategies.
Speaker
- Dr. Hui Liu (Founder, Running River Investments LLC | Author, IBridgePy)
What We Covered
- How to identify high-potential stocks
- Live trading demonstration
- Backtesting strategies using historical data
Why You Should Watch It
- Perfect for stock traders looking for systematic selection methods
- Includes a live demonstration of trading strategies
- Covers backtesting techniques for validation
Watch the Webinar
Short selling in the bull market - A Masterclass by Laurent Bernut
Algo Trading Week Day 3
Description
A masterclass on short-selling strategies in a bullish market, led by an expert short-seller with over 18 years of experience.
Speaker
- Laurent Bernut (CEO, Alpha Secure Capital)
What We Covered
- The mechanics of short selling
- How short sellers impact financial markets
- Trading strategies and risk management in short selling
Why You Should Watch It
- Essential for traders looking to profit from market downturns
- Covers real-world short-selling case studies
- Ideal for both institutional and retail traders
Watch the Webinar
Using sentiment and alternative data in trading
[Panel Discussion] | Algo Trading Week Day 4
Description
A deep dive into sentiment analysis, alternative data, and how these data sources impact algorithmic trading.
Panelists
- Dr. Cristiano Arbex Valle (Researcher/Developer, OptiRisk Systems)
- Prof. Gautam Mitra (Founder & MD, OptiRisk Systems)
- Dr. Matteo Campellone (Executive Chairman, Brain)
- Dr. Ravi Kashyap (Quantitative Strategist, Morgan Stanley)
What We Covered
- How alternative data can enhance trading decisions
- The role of NLP and AI in market sentiment analysis
- Practical use cases in systematic trading
Why You Should Watch It
- Learn how non-traditional data can provide an edge
- Understand sentiment analysis and machine learning applications
- Perfect for traders looking to leverage data-driven strategies
Watch the Webinar
Current trends in quant finance
[Panel Discussion] | Algo Trading Week Day 5
Description
Leading experts discuss the latest trends in quantitative finance, covering advancements in risk management, AI, and portfolio strategies.
Panelists
- David Jessop (Head of Investment Risk, Columbia Threadneedle Investments)
- Dr. Debashis Guha (Director of Machine Learning, SP Jain School of Global Management)
- Richard Rothenberg (Executive Director, Global AI Corporation)
What We Covered
- The impact of AI and machine learning in trading
- Risk management frameworks in quant finance
- Portfolio construction strategies
Why You Should Watch It
- Stay updated with the latest trends in quant trading
- Learn from top experts in AI and quantitative finance
- Essential for anyone involved in algorithmic trading
Watch the Webinar
Artificial intelligence in trading
By Dr Thomas Starke | Algo Trading Week Day 6
Description
Dr. Thomas Starke discusses AI applications in trading and how machine learning is transforming financial markets.
Speaker
- Dr. Thomas Starke (CEO, AAAQuants)
What We Covered
- AI-driven trading strategies
- Machine learning models for predictive analytics
- Real-world case studies of AI in finance
Why You Should Watch It
- Learn from an AI expert in quantitative trading
- Understand how AI is revolutionizing trading strategies
- Covers the future of AI in finance
Watch the Webinar
Application of Machine Learning in Trading
Algo Trading Week Day 7
Description
This session explores how machine learning models can be applied to quantitative trading.
Speakers
- Ishan Shah (AVP, Content & Research, QuantInsti)
- Rekhit Pachanekar (Quant Analyst, QuantInsti)
What We Covered
- Machine learning concepts for trading
- Developing and testing ML-based trading models
- Evaluating profitability of ML-driven strategies
Why You Should Watch It
- Essential for traders looking to integrate ML into their strategies
- Hands-on approach with trading model development
- Covers the do’s and don’ts of using ML in trading
Watch the Webinar
Implementing Pricing Model and Dynamic Asset Allocation
Algo Trading Project Webinar
Description
This session showcases two EPAT project presentations on market-making models and neural network-based asset allocation.
Speakers
- Evgeny Tishkin (Market-Making Model Expert)
- Mrinal Mahajan (Dynamic Asset Allocation Expert)
What We Covered
- Implementing a market-making model using Kalman filtering
- Using neural networks for asset allocation
- Real-world applications and challenges
Why You Should Watch It
- Learn practical applications of machine learning in trading
- Understand market-making strategies and dynamic asset allocation
- Gain insights into EPAT alumni projects
Watch the Webinar
Conclusion
QuantInsti’s 2021 webinars covered diverse topics, from algorithmic trading and machine learning to short selling and alternative data. Whether you’re a beginner or an experienced trader, these webinars provide invaluable knowledge to help you refine 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
