Category Report

Top 10 Books from Finance & Investing Podcasts - Feb 2026

Which books are shaping investor thinking this month, as mentioned across leading finance and investing podcasts.

Category: Finance & Investing
Updated: 2026-02-07
Period: Monthly
Featured Insights

Biggest mover: Reminiscences of a Stock Operator by Edwin Lefèvre #1, rising 105 places.

Capital in the Twenty-First Century by Thomas Piketty, Arthur Goldhammer was the top newcomer at #4. In total 16 books had their debut mentions.

Animal Spirits Podcast drove the most book chatter, with 13% of this months book mentions.

Key Takeaways for Investors and Financial Thinkers

Across podcasts this month, conversation clusters around how markets behave, how people make decisions within them, and how broader systems shape outcomes. Classic market texts like *Reminiscences of a Stock Operator*, *Active Portfolio Management*, *Engines That Move Markets*, and *On the Origin of Money* are being used as lenses on today’s volatility, capital cycles, and technology-driven manias, with the renewed attention to Lefèvre’s book in particular signaling anxiety about liquidity, bubbles, and “smart money” behavior. In parallel, titles such as *Capital in the Twenty-First Century* and *On Becoming a Person* reflect concern with inequality, legitimacy, and the human side of leadership and investing. Finally, books on storytelling and financial-planning psychology point to a growing emphasis on communication, client behavior, and goal-setting as differentiators in advisory and investment practice.

Top 10 Books

Top Podcasts Driving Mentions

The shows that surfaced the most book mentions this month.

Signal Momentum

Mentions recorded per 30-day window (past 8 months)

Coverage Mix

How many of the mentions were for the top 10 books.

Signal Summary

Podcasts Monitored
21
Episodes Searched
42
Unique Books
30
Total Mentions
31

Methodology

The podcasts included in this report are curated by MavenSignal to represent the trusted voices in this category.

We ingest public RSS feeds, analyze each episode, extract book mentions with AI, and validate with humans. The resulting data is normalized and deduplicated, building the canonical signal for the MavenSignal platform. Every insight and ranking is drawn from that verified layer.

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