Context Analytics' Podcast Sentiment Analysis Feed quantifies the influence of financial podcasts, the fastest-growing media format, reaching 600 million listeners worldwide. Capture what investors are listening to with finance-tuned sentiment scoring and real-time processing.
Context Analytics is the first to quantify what investors listen to—pioneering podcast sentiment analysis for quantitative trading
By analyzing and quantifying sentiment within financial and business podcasts, we capture audio-based investor sentiment that complements our News, SEC Filings, and Social Media feeds—completing your alternative data coverage.
News is the 2nd most popular podcast genre, with Business/Finance ranking 6th. This growing medium represents a powerful and under-measured channel of influence on trading behavior and market dynamics.
77% of listeners make smarter decisions based on podcast content
Financial decisions rank among most influenced by podcasts
Primary demographic overlaps with retail traders—Millennials and Gen Z represent significant podcast listeners and retail trading activity
From raw audio to investable signal — five layers of NLP processing, end-to-end
Finance-tuned sentiment analysis built on proven NLP infrastructure
Automatic Speech Recognition infrastructure processes audio streams for high-accuracy text conversion that feeds into our sentiment analysis pipeline.
Each transcript is entity-tagged for companies and tickers, then processed through our sentiment analysis pipeline to produce structured, time-stamped sentiment data.
Built on the same proven sentiment analysis infrastructure that powers our News, Social, and SEC Filings feeds. Designed for investment context, not generic brand monitoring.
Identify and track recurring themes, entities, and cross-sectional talking points over time to uncover narrative shifts before they hit mainstream news.
Access 10 years of historical podcast content for long-term trend analysis and factor development, enabling robust backtesting of podcast-driven signals.
Create specialized feeds targeting CEO interviews, analyst discussions, or specific shows based on keywords, metadata filters, and your research strategy.
The first feed of its kind - designed and build entirely in house.
| Capability | Context Analytics | Media Monitoring | Transcription APIs |
|---|---|---|---|
| Finance-Tuned Sentiment | ✓ | ✕ | ✕ |
| Ticker-Level Attribution | ✓ | ✕ | ✕ |
| 10+ Years Historical Data | ✓ | Limited | Limited |
| Quantitative Trading Focus | ✓ | PR Focus | DIY |
| Structured Sentiment Data | ✓ | Generic | ✕ |
| Proven Track Record | ✓ | Non-Finance | Raw Data Only |
The Context Analytics Advantage: We're the only provider delivering finance-tuned, ticker-mapped podcast sentiment data built specifically for quantitative trading and alpha generation.
Everything you need to know about the Podcast Sentiment Analysis Feed
Context Analytics monitors financial, business, and technology podcasts in real time, identifying company and ticker mentions and analyzing the sentiment and relevance of the conversation behind them. Each mention is timestamped and scored, turning unstructured audio into structured, ticker-level sentiment data, built specifically for quantitative trading and portfolio management.
It works in four steps: high-accuracy transcription of raw audio, entity tagging of tickers and companies at the mention level, finance-tuned sentiment scoring, and validation against 10 years of historical data for backtesting.
Context Analytics offers two distinct feeds. The quantitative feed delivers structured, ticker-level sentiment scores built for systematic and quant trading workflows, designed to plug directly into a model or pipeline. The qualitative feed delivers AI-generated summaries of the conversations themselves, per company mention, built for portfolio managers and risk managers who want the signal without any data engineering lift.
Context Analytics provides 10 years of historical podcast sentiment data for backtesting.
Unlike generic media monitoring, which is built for PR tracking, or raw transcription APIs, which are DIY and unstructured, Context Analytics' feed is delivered as structured JSON specifically for quantitative trading, not brand monitoring.
Yes. Context Analytics supports custom feed generation targeting specific shows, CEO interviews, analyst discussions, or keyword and metadata filters based on your research strategy.
Context Analytics continuously monitors 4.5 million or more shows worldwide.
Podcast sentiment data is delivered via JSON.
Like what you've seen?
