October’s Monthly Podcast replay is now live in our online community here.
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In the latest episode, hosts David Trainer and Kyle Guske II discuss the critical importance of high-quality training data on AI’s success and contrast Small Language Models (SLMs) with Large Language Models (LLMs).
We highlight the outperformance of Core Earnings-based indices, which have dramatically outperformed the S&P 500, and explore our latest research, including new Long Ideas, updated Danger Zone picks, and 3Q25 Earnings Previews.
We also run a live demo of our new AI agent developed in partnership with Google Cloud. We showcase its capabilities in regression analysis, earnings predictions, and stock data queries.
Not to be forgotten, the podcast also covers community insights, upcoming training sessions, and the exciting first-year anniversary of the Core Earnings Leaders Index.
Here’s an outline of the podcast.
- 00:00 Introduction to AI and Training Data
- 00:29 Podcast Welcome and Disclaimers
- 00:59 Latest Research and Updates
- 01:37 Celebrating Core Earnings Leaders Index
- 04:07 Community and Trade Ideas
- 05:43 Upcoming Training Sessions
- 06:20 The Importance of High-Quality Data in AI
- 09:01 SLMs vs LLMs in Financial Data
- 11:12 Live Demo of AI Agent
- 11:48 New Membership and Features
- 16:29 Q&A and Closing Remarks
This month’s podcast originally aired live on October 10, 2025.
This article was originally published on October 13, 2025.
Disclosure: David Trainer, Kyle Guske II, and Hakan Salt receive no compensation to write about any specific stock, style, or theme.
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