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Join us for a fascinating look at one of the earliest examples of artificial intelligence in fintech, a cloud based autonomous trading software with over 25 years of live market learning, 27 technical indicators and continuous refinement.

Where: Live via Zoom - click HERE to learn more and register

Developed by a veteran technologist who began working with AI at Microsoft in 1989, this system has evolved through decades of code, iteration, and data, long before today’s wave of AI trading startups.

In this live session, we’ll explore:

  • How continuous machine learning and adaptive algorithms drive the system’s performance and built in money management
  • Why this legacy technology remains more than relevant (and surprisingly ahead of its time) in today’s AI boom
  • How it works with a live demonstration of active trades and performance from the founders own live exchange accounts
  • Why most people simply "set it and forget it" and let the autotrader do all the work
  • Q&A with the founder, from current users to brand newbies and those wanting to take a deeper dive into the technology

Although the founder is very mission driven and passionate about what he's developed, this is an opportunity to see historical and modern AI in motion, bridging the gap between early innovation, today’s fintech frontier, and bringing institutional grade tools to the average person, which both the founder and myself are very passionate about. 🙏🏼

🎙️ Hosted by: Francene Loomiller, former professional equity trader, market technician and blockchain enthusiast/investor with over 20 years in the markets

Where: Live via Zoom - click HERE to learn more and register

If you geek out on data, automation, the history of fintech innovation, or how you can trade for yourself, completely hands free, you’ll love this one. Come for the tech, stay for the insights, and maybe discover a tool that could fit into your own financial strategy.

Look forward to 'seeing' you there,
Francene

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Blockchain
Financial Technology
FinTech
Cryptocurrency Trading
Trading

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