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Thursday, January 30
AI-Assisted Algorithmic Trading System Development
ALL AGES
Generate & Automate Your Trading & Investing Strategies
By AI User Group
897 followers
5.3k attendees hosted
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Date & time
Thursday, January 30, 2025 9am - 6pm PST. Doors at 8:30am
Location
972 Mission St
972 Mission Street San Francisco, CA 94103 United States
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Refund Policy
Refunds up to 7 days before event
Eventbrite's fee is nonrefundable.
Agenda
9:00 AM - 9:50 AM
Algorithmic trading & investing overview
This session will explore the definition, benefits, & risks of using algorithmic strategies, with a particular focus on the integration of AI copilots. It will delve into trending & mean-revertin...
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10:00 AM - 10:50 AM
AI-assisted idea generation & equity data analysis
This session will cover prompt engineering for generating trading & investment ideas with the help of an AI copilot. It will also demonstrate how to algorithmically search the entire equity market ...
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11:00 AM - 11:50 PM
Investing & trading strategy design
This session will address the key components of successful trading & investing, starting with expected return as the necessary condition for achieving positive outcomes. It will also delve into exp...
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12:00 PM - 12:50 PM
AI-assisted coding of algorithmic strategies
This session will provide an overview of the architecture of trading & investing algorithms, offering a foundational understanding of how they are structured. It will also introduce the basics of T...
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1:00 PM - 2:00 PM
Lunch Break & Team Formation
2:00 PM - 2:50 PM
Backtesting & performance evaluation
This session will guide participants through coding & backtesting a simple trending strategy, providing hands-on experience with algorithmic trading. Attendees will learn how to analyze TradeStatio...
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3:00 PM - 3:55 PM
Group learning: Jointly developing a technical trading system
This session will engage group members in collaboratively generating & developing a technical trading strategy. Together, the group will code, backtest, & evaluate the performance of their strate...
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4:00 PM - 4:55 PM
Group learning: Jointly developing a fundamental investment system
This session will involve group members working together to generate & develop a fundamental investment strategy. The group will then code, backtest, & evaluate the performance of their strategy ...
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Going from noob to pro in 1 day!
Discipline in the face of grueling markets is a key success factor in trading & investing. Emotional irrationality, behavioral biases, inability to multitask effectively & slow execution speeds put manual trading by retail investors at a significant disadvantage compared to the benefits of algorithmic trading & investing enjoyed by professionals.
Institutional market participants, like hedge funds, generally use various types of algorithms in the entire investing & trading process, from idea generation to trade execution & portfolio management, to increase their returns & lower their risks. An estimated 80% of the daily trading volume in US equity markets is executed algorithmically i.e. by computer programs following a set of predefined rules at superhuman speeds. These rules are designed by humans or discovered by machines or both.
This hands-on workshop levels the playing field for retail investors & traders by leveraging the power of AI-copilots & TradeStation, one of the best algorithmic trading & investing platforms. You will acquire the knowledge, skills & tools to trade equities algorithmically with little or no coding & trading experience. While the course focuses on equities, it can also be applied to other assets like commodities, foreign exchange, cryptos & fixed income.
To be clear, there is no secret strategy or algorithm or technology for trading & investing success - markets will always make a mockery of such snake oils as they have done since the dawn of trading. Regardless of the current hype surrounding Generative AI, the onus is on you to apply it appropriately - there are still no substitutes for critical thinking, continual learning, experimentation, experience & hard work.
Our hands-on workshop will give you an edge by providing a critical overview of the foundational concepts, processes, & technologies that increase the odds of success in trading & investing. In addition, you will leave this workshop with a prototype of a professional-grade algorithmic trading & investing system. Most importantly, with TradeStation's historical & live market simulations, you can continue to trade, test & improve your system without ever risking your hard-earned capital.
Who Should Attend:
Manual Traders & Investors. You want to mitigate the disadvantages of emotional, erratic, & slow manual trading. You need some help getting started with algorithmic trading & investing.
Experienced Traders & Investors. You're looking for an insightful overview of the key financial, statistical & algorithmic trading concepts, processes & technologies used by professional practitioners.
Passive Investors. You have opinions on various stocks but don't have the time or inclination to act on them opportunistically. You would rather focus on your job than the markets.
AI Enthusiasts. You want to learn the concepts, skills & technologies that may open up opportunities in the financial services & investment management industries.
What You'll Learn:
Advantages & disadvantages of algorithmic trading & investing with AI-copilots
Different types of models used for generating trading & investment strategies
Fundamental concepts, processes, & technologies used for developing them
Prompt engineering for developing trading strategies & coding them algorithmically
Pitfalls of backtesting algorithmic strategies & the benefits of simulated live trading
Pros & cons of several risk-adjusted metrics used for evaluating their performance
Paramount importance of risk management with position sizing & complex orders
At the end of this workshop, you'll be able to:
Leave behind slow, erratic, emotional, manual trading & investing. Algorithmically trade & invest in equities using your own signals & strategies
Prompt any AI-copilot to generate plausible investment & trade ideas. Evaluate the expected returns & risks of any idea by applying the concepts & processes learned
Apply TradeStation's algorithmic tools to research, visualize & analyze an equity's technical, fundamental & other features
Prompt any AI-copilot to generate EasyLanguage code for implementing algorithmic trading signals & strategies using TradeStation's development environment
Backtest, simulate live trading, & evaluate the performance of your algorithmic signals & strategies using TradeStation's platform
Continue experimenting with different trading & investing strategies & improving your algorithmic system without risking any of your capital at any time
Prerequisites
Create a free TradeStation account here with the promo code: HCPLAGKA. You can open an account with any amount - you get cash rewards for higher deposit amounts.
Recommended Preparation
Getting Started with TradeStation - Introductory video
What are stocks & Exchange Traded Funds (ETF) - Introductory note
About the Instructor:
Deepak K. Kanungo is an algorithmic derivatives trader, educator, & CEO of Hedged Capital, an AI-powered proprietary trading company he founded in 2009. Since 2019, Deepak has taught tens of thousands of O'Reilly Media subscribers worldwide the concepts, processes, & AI technologies for algorithmic trading, investing, & finance. He is the author of the award-winning book, Probabilistic Machine Learning for Finance & Investing: A Primer to Generative AI with Python & the instructor for the O'Reilly on-demand video course Hands-On Algorithmic Trading With Python.
Previously, Deepak was a financial advisor at Morgan Stanley during the Great Financial Crisis, a Silicon Valley fintech entrepreneur, a director in the Global Planning Department at Mastercard International, & a senior analyst with Diamond Technology Partners. He was educated at Princeton University (astrophysics) & the London School of Economics (finance & information systems). He is also a Chartered Alternative Investment Analyst.
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