AI-Powered Algorithmic Trading and Investing

Generate and automate your strategies without prior experience or expertise
  • Author: Deepak K. Kanungo
  • Level: Foundational
  • Core Study: 8 hours
  • Platform: TradeStation 
  • Curated Videos: 12 hours 
  • Curated Podcasts: 2 hours
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" You must unlearn what you have learned"

Learn to think and trade like a pro!

Learn how to generate and automate your algorithmic trading and investing strategies without prior experience. Scale the learning curve rapidly with AI tools and unleash your potential for generating wealth. Test your ideas and insights rigorously and risk-free with TradeStation's historical and live market simulations.
Who Should Take this Course

Manual Traders and Investors: You need help getting away from slow, emotional and erratic, manual pointing and clicking.

Experienced Traders and Investors: You want to trade like the pros but need help understanding their mindset and tools.

Passive Investors: You have opinions on stocks but are too busy. You don't want to miss out but want to carry on as usual.

AI Enthusiasts: You want to work at a financial institution but don't have the necessary knowledge or experience.
Created by

Deepak K. Kanungo

I am an algorithmic trader, instructor, and CEO of Hedged Capital LLC, an AI-powered proprietary trading company I founded in 2009. Over the past 15 years, I've invested and traded various types of assets using numerous algorithms, strategies, technologies, and platforms.

In 2019, as a way to challenge the depth of my own learning and research, I started teaching live online courses to O'Reilly Media's tech-savvy subscribers on applying AI/ML to trading and investing. Since then I've trained tens of thousands of individual traders and investors worldwide on how to power their strategies with AI, algorithms and automation to much acclaim.

I authored the award-winning book, Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python (see my GitHub repo) in 2003. I'm also the creator and instructor of the popular on-demand O'Reilly video course Hands-On Algorithmic Trading with Python (2019).

Previously, I 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, and a senior analyst with Diamond Technology Partners (acquired by PwC). 
I was educated at Princeton University (astrophysics) and the London School of Economics (finance and information systems). I'm also a Chartered Alternative Investment Analyst.
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What You'll Learn

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What You'll Be Able To Do

MULTIMEDIA & INTERACTIVE

CONTENT TYPES

This is an on-demand, self-paced, multimedia, interactive, hands-on course composed of 10 modules. You can forge your own learning path, at your own pace, at any time. The contents of this course include the following elements:
  • Presentations: on the concepts, processes, and AI/ML technologies prevalent in theory and practice
  • Demos: on implementing the above in TradeStation
  • Curation of videos and podcasts: featuring insightful interviews, seminars, talks, and historical event analyses
  • Quizzes: to test your understanding of key concepts
  • Exercises: developing and testing your algorithmic indicators and strategies using TradeStation
  • Simulations: evaluating the performance of your strategies using historical and live simulations
  • Online discussions: about each lesson in the course
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COURSE OUTLINE: MODULES 1-3

Strategies and Models

We explore the definition, benefits, and risks of using algorithmic trading and investing systems, with a particular focus on integrating GenAI tools and TradeStation's technologies into the processes. We cover directional and mean-reverting equity strategies, examining the various theoretical and empirical models used to develop them effectively.  We gain deep insights and wisdom from a curated set of interviews with the best algorithmic traders, investors, and sports bettors of all time.
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COURSE OUTLINE: MODULES 4-5

AI-Assisted Fundamental and Technical Analyses

We cover prompt engineering for generating trading and investment ideas with the help of any GenAI tool. We show how you can also search the entire equity market algorithmically for specific opportunities using TradeStation’s Radar and Scanner tools. Additionally, students learn techniques for analyzing and visualizing equity data with TradeStation’s charts and developing technical indicators. Fundamental analysis using TradeStation's research and news applications is also demonstrated.  Recorded seminars by fundamental and technical analysts enhance your understanding of the materials.
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COURSE OUTLINE: MODULES 6-7

Designing Trading and Investing Strategies

We provide a comprehensive framework for designing successful trading and investing strategies. We start with expected return as the necessary condition for achieving positive outcomes. Then, we delve into expected risk, the critical constraint on achieving those returns, ensuring a balanced approach. Finally, we cover capital management and position sizing as the sufficient condition for realizing expected positive returns in real markets. Curated talks include insights on how to think about risk, especially extreme events, and how to apply poker skills to trading.
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COURSE OUTLINE: MODULE 8

AI-Assisted Coding of Algorithmic Strategies

We provide an overview of the architecture of trading and investing algorithms. This is analyzed using no-code techniques for developing algorithmic strategies in TradeStation. You are also introduced to the basics of EasyLanguage and key features of TradeStation’s algorithmic development environment. This enables you to use prompt engineering effectively with any GenAI tool to generate EasyLanguage code to implement more complex or customized strategies.

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COURSE OUTLINE: MODULE 9-10

Simulating and Evaluating Performance 

We guide you through developing, backtesting, and optimizing a simple trending strategy, offering a practical review and application of key concepts from previous sessions. Students will also learn how to analyze TradeStation’s performance reports to evaluate the strategy’s effectiveness. Additionally, the session will cover common pitfalls in backtesting and other optimization methods used in trading and investing. Finally, students will simulate live trading of their strategy to examine its performance in current market conditions. The course material concludes with a word of caution, a suggested arbitrage trade integrated with a plan to take your system live after many months of practice.
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POST-COURSE LEARNING 

Continuing to Learn, Discuss and Support

Join our private, online community of course alumni who are committed to improving their algorithmic trading and investing skills, strategies, and systems. Get support, feedback, ideas, resources, and network with your fellow students. Direct communications, group discussions, and debates are encouraged while maintaining a respectful and collaborative atmosphere. Let's make the market the arbiter of any trade or investment thesis through a backtest or live simulation!

This private, online community is available only to committed students who have completed this course, deposited at least $2000 in their TradeStation brokerage account using our promotion, and have held it there for at least a month. We also require people to share their LinkedIn or other social media profile to foster transparency and trust.
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Frequently asked questions

1. How can I practice investing and trading in live markets risk-free ? 

Open your new TradeStation account. During that time, learn to generate ideas, practice trading and investing your algorithmic strategies using TradeStation's historical and live market simulations. You can't lose real money doing that!


2. How do I run TradeStation's software on my Windows PC or MacBook?

TradeStation's algorithmic system only runs on Windows and you can download it from your account after you have deposited at least $1.

Before MacBook users can do that, they will need to use Apple’s Boot Camp or a windows emulator such as VMWare to run TradeStation's system. Both options are free for personal use.

3. Can I trade stocks commission-free with TradeStation when I take my system live?

Yes, you can trade stocks and ETFs (Exchange Traded Funds) commission-free with TradeStation. See here for more information. You should only trade and invest with real money when you're satisfied with the performance of your algorithmic system in live simulations and expect market conditions to persist.
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