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The Rational Reminder Podcast · Thursday, October 1, 2026

AI Struggles with Investment Sizing Despite Access to Future News

Victor Haghani shared findings from an experiment testing if advanced knowledge of news could predict market returns. While macro traders performed reasonably well with a 60% hit ratio, even sophisticated AIs struggled with proper bet sizing, initially taking on too much risk. Haghani noted that while AIs improved after being trained on financial principles, sizing remained a challenge.

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The tape

3 quotes
“And it's really hard to generate a good return. Turns out that on average, people didn't do very well despite having this newspaper a full day ahead of time.”
“And they had a good hit ratio, but they took too much risk. They didn't size things correctly.”
“But they did a really good job on figuring out whether the markets would go up or down and how strong. I mean, they were smart. It was impressive. But they got the sizing wrong to begin with, which was interesting.”
Heard on The Rational Reminder Podcast — “Who Causes Stock Market Anomalies? (w/ Victor Haghani) | #429”, published Thursday, October 1, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via deepinfra · $0.01