In the South, food and music go hand in hand. They define much of what we think of as Southern culture, and they say a lot about our past, our present, and our future. Each week, Sid Evans, Editor in Chief of Southern Living, sits down with musicians, chefs, and other Southern icons to hear the stories of how they grew up, what inspires them, and why they feel connected to the region. Through honest conversations, Sid explores childhood memories, the family meals they still think about, and ...
…
continue reading
Content provided by Stewart Alsop. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stewart Alsop or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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Episode #468: Forecasting the Market’s Weather: Events, AI, and the Future of Trading
Manage episode 490376291 series 2113998
Content provided by Stewart Alsop. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stewart Alsop or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of Crazy Wisdom, I, Stewart Alsop, speak with Andrew Einhorn, CEO and founder of Level Fields, a platform using AI to help people navigate financial markets through the lens of repeatable, data-driven events. We explore how structured patterns in market news—like CEO departures or earnings surprises—can inform trading strategies, how Level Fields filters noise from financial data, and the emotional nuance of user experience design in fintech. Andrew also shares insights on knowledge graphs, machine learning in finance, and the evolving role of narrative in markets. Stock tips from Level Fields are available on their YouTube channel at Level Fields AI and their website levelfields.ai.
Check out this GPT we trained on the conversation
Timestamps
00:00 – Andrew introduces Level Fields and explains how it identifies event-driven stock movements using AI.
05:00 – Discussion of LLMs vs. custom models, and how Level Fields prioritized financial specificity over general AI.
10:00 – Stewart asks about ontologies and knowledge graphs; Andrew describes early experiences building rule-based systems.
15:00 – They explore the founder’s role in translating problems, UX challenges, and how user expectations shape product design.
20:00 – Insight into feedback collection, including a unique refund policy aimed at improving user understanding.
25:00 – Andrew breaks down the complexities of user segmentation, churn, and adapting the product for different investor types.
30:00 – A look into event types in the market, especially crypto-related announcements and their impact on equities.
35:00 – Philosophical turn on narrative vs. fundamentals in finance; how news and groupthink drive large-scale moves.
40:00 – Reflection on crypto parallels to dot-com era, and the long-term potential of blockchain infrastructure.
45:00 – Deep dive into machine persuasion, LLM training risks, and the influence of opinionated data in financial AI.
50:00 – Final thoughts on momentum algos, market manipulation, and the need for transparent, structured data.
Key Insights
- Event-Based Investing as Market Forecasting: Andrew Einhorn describes Level Fields as a system for interpreting the market’s weather—detecting recurring events like CEO departures or earnings beats to predict price movements. This approach reframes volatility as something intelligible, giving investors a clearer sense of timing and direction.
- Building Custom AI for Finance: Rejecting generic large language models, Einhorn’s team developed proprietary AI trained exclusively on financial documents. By narrowing the scope, they increased precision and reduced noise, enabling the platform to focus only on events that truly impact share price behavior.
- Teaching Through Signals, Not Just Showing: Stewart Alsop notes how Level Fields does more than surface opportunities—it educates. By linking cause and effect in financial movements, the platform helps users build intuition, transforming confusion into understanding through repeated exposure to clear, data-backed patterns.
- User Expectation vs. Product Vision: Initially, Level Fields emphasized an event-centric UX, but users sought more familiar tools like ticker searches and watchlists. This tension revealed that even innovative technologies must accommodate habitual user flows before inviting them into new ways of thinking.
- Friction as a Path to Clarity: To elicit meaningful feedback, Level Fields implemented a refund policy that required users to explain what didn’t work. The result wasn’t just better UX insights—it also surfaced emotional blockages around investing and design, sharpening the team’s understanding of what users truly needed.
- Narrative as a Volatile Market Force: Einhorn points out that groupthink in finance stems from shared academic training, creating reflexive investment patterns tied to economic narratives. These surface-level cycles obscure the deeper, steadier signals that Level Fields seeks to highlight through its data model.
- AI’s Risk of Amplifying Noise: Alsop and Einhorn explore the darker corners of machine persuasion and LLM-generated content. Since models are trained on public data, including biased and speculative sources, they risk reinforcing distortions. In response, Level Fields emphasizes curated, high-integrity inputs grounded in financial fact.
470 episodes
Share
Manage episode 490376291 series 2113998
Content provided by Stewart Alsop. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stewart Alsop or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
In this episode of Crazy Wisdom, I, Stewart Alsop, speak with Andrew Einhorn, CEO and founder of Level Fields, a platform using AI to help people navigate financial markets through the lens of repeatable, data-driven events. We explore how structured patterns in market news—like CEO departures or earnings surprises—can inform trading strategies, how Level Fields filters noise from financial data, and the emotional nuance of user experience design in fintech. Andrew also shares insights on knowledge graphs, machine learning in finance, and the evolving role of narrative in markets. Stock tips from Level Fields are available on their YouTube channel at Level Fields AI and their website levelfields.ai.
Check out this GPT we trained on the conversation
Timestamps
00:00 – Andrew introduces Level Fields and explains how it identifies event-driven stock movements using AI.
05:00 – Discussion of LLMs vs. custom models, and how Level Fields prioritized financial specificity over general AI.
10:00 – Stewart asks about ontologies and knowledge graphs; Andrew describes early experiences building rule-based systems.
15:00 – They explore the founder’s role in translating problems, UX challenges, and how user expectations shape product design.
20:00 – Insight into feedback collection, including a unique refund policy aimed at improving user understanding.
25:00 – Andrew breaks down the complexities of user segmentation, churn, and adapting the product for different investor types.
30:00 – A look into event types in the market, especially crypto-related announcements and their impact on equities.
35:00 – Philosophical turn on narrative vs. fundamentals in finance; how news and groupthink drive large-scale moves.
40:00 – Reflection on crypto parallels to dot-com era, and the long-term potential of blockchain infrastructure.
45:00 – Deep dive into machine persuasion, LLM training risks, and the influence of opinionated data in financial AI.
50:00 – Final thoughts on momentum algos, market manipulation, and the need for transparent, structured data.
Key Insights
- Event-Based Investing as Market Forecasting: Andrew Einhorn describes Level Fields as a system for interpreting the market’s weather—detecting recurring events like CEO departures or earnings beats to predict price movements. This approach reframes volatility as something intelligible, giving investors a clearer sense of timing and direction.
- Building Custom AI for Finance: Rejecting generic large language models, Einhorn’s team developed proprietary AI trained exclusively on financial documents. By narrowing the scope, they increased precision and reduced noise, enabling the platform to focus only on events that truly impact share price behavior.
- Teaching Through Signals, Not Just Showing: Stewart Alsop notes how Level Fields does more than surface opportunities—it educates. By linking cause and effect in financial movements, the platform helps users build intuition, transforming confusion into understanding through repeated exposure to clear, data-backed patterns.
- User Expectation vs. Product Vision: Initially, Level Fields emphasized an event-centric UX, but users sought more familiar tools like ticker searches and watchlists. This tension revealed that even innovative technologies must accommodate habitual user flows before inviting them into new ways of thinking.
- Friction as a Path to Clarity: To elicit meaningful feedback, Level Fields implemented a refund policy that required users to explain what didn’t work. The result wasn’t just better UX insights—it also surfaced emotional blockages around investing and design, sharpening the team’s understanding of what users truly needed.
- Narrative as a Volatile Market Force: Einhorn points out that groupthink in finance stems from shared academic training, creating reflexive investment patterns tied to economic narratives. These surface-level cycles obscure the deeper, steadier signals that Level Fields seeks to highlight through its data model.
- AI’s Risk of Amplifying Noise: Alsop and Einhorn explore the darker corners of machine persuasion and LLM-generated content. Since models are trained on public data, including biased and speculative sources, they risk reinforcing distortions. In response, Level Fields emphasizes curated, high-integrity inputs grounded in financial fact.
470 episodes
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Similar to Crazy Wisdom
In the South, food and music go hand in hand. They define much of what we think of as Southern culture, and they say a lot about our past, our present, and our future. Each week, Sid Evans, Editor in Chief of Southern Living, sits down with musicians, chefs, and other Southern icons to hear the stories of how they grew up, what inspires them, and why they feel connected to the region. Through honest conversations, Sid explores childhood memories, the family meals they still think about, and ...
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continue reading
Hear the incredible real stories behind the making of the biggest documentary series & films on Netflix. Host Rebecca Lavoie leads in-depth interviews with creators and subjects, exploring how these stories are produced & their impact, while uncovering new information. New episodes every Wednesday.
…
continue reading
As She Rises brings together local poets and activists from throughout North America to depict the effects of climate change on their home and their people. Each episode carries the listener to a new place through a collection of voices, local recordings and soundscapes. Stories span from the Louisiana Bayou, to the tundras of Alaska to the drying bed of the Colorado River. Centering the voices of native women and women of color, As She Rises personalizes the elusive magnitude of climate cha ...
…
continue reading
The simplest questions often have the most complex answers. The Philosopher's Zone is your guide through the strange thickets of logic, metaphysics and ethics.
…
continue reading
Travel, at its best, changes the way we see the world. Join us each week as we dig into stories from people who took a trip—and came home transformed. Travel Tales by Afar is your ticket to the world, no passport required.
…
continue reading
Design Matters with Debbie Millman is one of the world’s very first podcasts. Broadcasting independently for over 15 years, the show is about how incredibly creative people design the arc of their lives. Hosted on Acast. See acast.com/privacy for more information.
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continue reading
David Edmonds (Uehiro Centre, Oxford University) and Nigel Warburton (freelance philosopher/writer) interview top philosophers on a wide range of topics. Two books based on the series have been published by Oxford University Press. We are currently self-funding - donations very welcome via our website http://www.philosophybites.com
…
continue reading
Peter Adamson, Professor of Philosophy at the LMU in Munich and at King's College London, takes listeners through the history of philosophy, "without any gaps". www.historyofphilosophy.net
…
continue reading
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continue reading
Join two of the stars from Real Housewives of Potomac, Gizelle Bryant and Robyn Dixon, as they team up for their new podcast Reasonably Shady. The show features conversations about being fearless women as they recount stories from their exciting lives. Topics include dating, relationships, marriage, entrepreneurs, motherhood, style, glam, current events and more! Join Gizelle and Robyn for Reasonably Shady!
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continue reading
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