AI-Assisted Algorithmic Trading System Development

Going from noob to pro in 1 day!
‍Discipline in the face of grueling markets is a key success factor in trading and investing. Emotional irrationality, behavioral biases, inability to multitask effectively and slow execution speeds put manual trading by retail investors at a significant disadvantage compared to the benefits of algorithmic trading and investing enjoyed by professionals.
Institutional market participants, like hedge funds, generally use various types of algorithms in the entire investing and trading process, from idea generation to trade execution and portfolio management, to increase their returns and 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 and traders by leveraging the power of AI-copilots and TradeStation, one of the best algorithmic trading and investing platforms. You will acquire the knowledge, skills and tools to trade equities algorithmically with little or no coding and trading experience. While the course focuses on equities, it can also be applied to other assets like commodities, foreign exchange, cryptos and fixed income.
To be clear, there is no secret strategy or algorithm or technology for trading and 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 and hard work.
Our hands-on workshop will give you an edge by providing a critical overview of the foundational concepts, processes, and technologies that increase the odds of success in trading and investing. In addition, you will leave this workshop with a prototype of a professional-grade algorithmic trading and investing system. Most importantly, with TradeStation’s historical and live market simulations, you can continue to trade, test and improve your system without ever risking your hard-earned capital.

Who Should Attend:

• Manual Traders and Investors. You want to mitigate the disadvantages of emotional, erratic, and slow manual trading. You need some help getting started with algorithmic trading and investing.
• Experienced Traders and Investors. You're looking for an insightful overview of the key financial, statistical and algorithmic trading concepts, processes and 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 and technologies that may open up opportunities in the financial services and investment management industries.

What You’ll Learn:

• Advantages and disadvantages of algorithmic trading and investing with AI-copilots
• Different types of models used for generating trading and investment strategies

• Fundamental concepts, processes, and technologies used for developing them

• Prompt engineering for developing trading strategies and coding them algorithmically

• Pitfalls of backtesting algorithmic strategies and the benefits of simulated live trading
• Pros and cons of several risk-adjusted metrics used for evaluating their performance
• Paramount importance of risk management with position sizing and complex orders

At the end of this workshop, you'll be able to:

• Leave behind slow, erratic, emotional, manual trading and investing. Algorithmically trade and invest in equities using your own signals and strategies
• Prompt any AI-copilot to generate plausible investment and trade ideas. Evaluate the expected returns and risks of any idea by applying the concepts and processes learned

• Apply TradeStation’s algorithmic tools to research, visualize and analyze an equity’s technical, fundamental and other features
• Prompt any AI-copilot to generate EasyLanguage code for implementing algorithmic trading signals and strategies using TradeStation's development environment
• Backtest, simulate live trading, and evaluate the performance of your algorithmic signals and strategies using TradeStation's platform
• Continue experimenting with different trading and investing strategies and 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 and Exchange Traded Funds (ETF) - Introductory note

About the Instructor:

Deepak K. Kanungo is an algorithmic derivatives trader, educator, and 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, and AI technologies for algorithmic trading, investing, and finance. He is the author of the award-winning book, Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python and 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, and a senior analyst with Diamond Technology Partners. He was educated at Princeton University (astrophysics) and the London School of Economics (finance and information systems). He is also a Chartered Alternative Investment Analyst.

Event Venue & Nearby Stays

972 Mission St, 972 Mission Street, San Francisco, United States