Stock market analysis from tweets

About this video

A guest describes their experience building Ticker Tags, a platform created in the mid-2010s that monitored Twitter’s public feed to detect anomalies in speech patterns about publicly traded companies. The system used hand-curated taxonomies of word combinations to flag real-time shifts in how people discussed brands and products, translating manual research methodology into an automated monitoring system.

Key takeaways

• The guest accessed Twitter’s decahose (10% sample of all tweets in real time) to build a curated taxonomy of 1.5 million word combinations tied to publicly traded companies
• Their platform organized these word combinations by company (300 to 1,000 combinations each) and benchmarked mention frequency against historical norms and seasonality patterns
• The system automated anomaly detection to flag shifts in public speech patterns on Twitter that could be meaningful signals for investors or companies

Episode details: published January 7, 2026 · 16K views · 1:14 long. Summary written by Self Growth Videos from the episode itself. The business ideas, figures and results discussed are the hosts’ and guests’ own claims, shared as brainstorming and entertainment — not verified facts and not investment advice.

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