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AI Discovery: Can LossDog’s AI Balance Your Portfolio?

Patrick Lothian

Patrick Lothian

Head of Video Production

In this episode of AI Discovery, we explore using artificial intelligence to level the playing field between everyday retail investors and institutional giants. Retail traders have long faced structural disadvantages in data access, speed, and market mechanics, often leaving them on the losing side of market asymmetry. 

Tom Sosnoff, co-founder of thinkorswim and tastytrade, joins host Patrick Lothian to discuss his latest venture, LossDog. Tom shares how his team of software and AI engineers is building tools to evaluate labor valuation, human capital, and portfolio optimization and  turning complex concepts like multi-standard-deviation risk and uncorrelated diversification into intuitive, actionable insights for everyday people. Can AI and LossDog help close the retail vs. institutional gap?

ABOUT AI DISCOVERY
AI Discovery is the newest series from John Lothian News, building on our Options Discovery and Futures Discovery shows. While past series focused on introducing core market concepts to new participants, AI is reshaping the industry for everyone. We investigate the real-world operational challenges facing financial markets and examine how AI solutions are being deployed to solve them.

Every other week, our companion profile episodes feature industry professionals sharing how they use personal AI tools to save hours a week and boost daily productivity.

SPONSOR
NinjaTrader: For more information or to get started, check out NinjaTrader.com. 

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QUESTIONS
What problem were you trying to solve with Taco AI?
What issues did NinjaTrader want to fix with this chatbot?
Do customers call the AI directly, or does it filter calls before they reach a human?
How do you prevent the AI from hallucinating and sharing bad info?
How do you safeguard the AI against unauthorized trading?
Will customers eventually prefer talking to AI over humans?
Can an AI broker perform better than a human broker?
What will this chatbot look like in two to three years?
How will trading technology evolve over the next two to three years?
Will AI help close the performance gap between retail and institutional traders?

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