MUST RSVP TO ATTEND - email RSVP@svog.org

Machine Learning Trading Systems - Michael Barna, Trading Systems Lab, http://tradingsystemslab.com

Special Note: This meeting will be shared with special guests of Mr. Barna. There will be LIMITED SEATS. To attend SVOG associates MUST RSVP by sending an email to RSVP@svog.org. If, after registering and receiving your confirmation, you can not attend, please send a note to RSVP releasing your seat for someone else to use.

Caveat: This is going to be a great meeting -- to get the most out out this meeting go to the TSL website and review the abundance of material available. Come prepared to ask the tough questions -- that is how we learn. We are getting this out early, you have the time to do your homework (JSNorton, President, SVOG).

With artificial intelligence (AI) increasingly being used in trading, our speaker for October is Michael Barna, the founder of Trading System Lab (TSL), who will talk about his company's trading system that uses Machine Learning to make trading decisions. This system provides a complete set of tools that can be configured infinite number of ways and for different trading strategies, yet it requires no programming. This presentation will start with an introduction to mechanical trading strategies and move through the concepts used to write strategies and then finish up with a demo and discussion of the TSL Platform and advanced features.

Who Should Attend: This talk should be of interest to traders who want to learn about using AI for trading and everyone else who is increasingly trading against them. It will cover different AI strategies as well as trading simulation, back testing, robustness and results.

Don’t forget... Hot dogs and Sandwiches ($3.50 to $4.50)! Available 6:00pm to 7:30pm. Profits, from these sales, benefit BPOE charities.

About our Speaker:
Michael L. Barna is Trading System Lab's founder and President. He earned a BS in Mathematics from Arizona State University and a Masters in Astronautical and Aeronautical Engineering from Stanford University. He has/had a Series 3 Commodity Brokers License and a Series 30 Branch Office Manager License. His background included work as a Senior Vice President for Regency Stocks and Commodity Fund, LP, and engineering and management positions in several large Fortune 500 defense firms where he developed ramjet, missile, and space based laser defense systems.

His work for defense companies included the use of AI algorithms as a means to enhance system guidance and control systems. He utilized similar AI techniques in the design of modern Trading Systems and has pioneered AI and Trading System integration.

Mike has created numerous popular and successful Trading Systems that are employed by fund managers, brokerage houses and traders worldwide His Legacy Trading System "Big Blue" is ranked one of the Top Ten Trading Systems of All Time as published in the Book: "The Ultimate Trading Guide", by Hill, Pruitt and Hill. Mr. Barna is the creator and author of one of the most popular Legacy day trading systems ever written, The RMESA Trading System, which is his first trading system to include a basic Neural Network approximation filter. Mike is the author of the book: "The Big Blue 2 Trading System."

SVOG Agenda:
6:00 PM to 6:15 PM Introductions and Set-up: This is a good time to connect with other fellow options traders and exchange ideas informally.
6:15 PM to 6:30 PM SVOG Intro and Announcements – SVOG
6:30 PM to 7:30 PM Part 1: Machine Learning Background -- Mike Barna, TSL
7:30 PM to 7:45 PM Break
7:45 PM to 8:45 PM Part 2: How does it work and where do we go from here -- Mike Barna, TSL
8:45 PM to 9:00 PM Meeting Close
SVOG requests a voluntary contribution of $10.00 to defray operational costs

SVOG Associates: This meeting will be shared with special guests of Mr.Barna. There will be LIMITED SEATS. To attend you MUST RSVP by sending an email to RSVP@svog.org. If, after registering and receiving your conformation, you can not attend, please send a note to RSVP releasing your seat for someone else to use.

Disclaimer:
Notice to Attendees: SVOG DOES NOT provide trading advice nor does it recommend specific products. Information shared is educational and the opinion of the presenter(s). The suitability or application of information provided or discussed is the sole responsibility of the attendee.

All SVOG meetings are open to the pubic. To learn more, please visit https://www.svog.org

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