Social Media Sentiment Scoring

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Sentiment You Can Signal On.

Context Analytics transforms social media into structured, predictive data feeds. Our APIs for X (Twitter), StockTwits, and Reddit deliver real-time sentiment signals built to support quant trading, research, risk, and market intelligence—easily integrated into dashboards, GUIs, and analytics platforms.

Core Capabilities

Everything you need in one terminal
Access full firehose data from Twitter, Stocktwits, and Reddit through licensed APIs. Our S-Factor Feed delivers 24-hour sentiment and volume scores by security, while granular Activity and Tweet-Level Feeds enable custom metrics. Delivered via FTP, APIs, Snowflake, or Databricks—with out-of-sample historical data for robust backtesting across global asset classes.
Go beyond sentiment with real-time classification of social conversations. CA’s software detects key topics—like M&A, short squeezes, or drug trials—and alerts users to abnormal volume tied to specific themes, adding depth and context to every signal.
Get real-time AI summaries for securities with high social chatter. Instantly understand what’s driving sentiment with concise overviews of the most discussed topics influencing each ticker’s score
Track sentiment in real time with a flexible dashboard supporting watchlists, streaming messages, and volume charts by security. Get alerts via email or SMS when sentiment spikes, and stay ahead with daily reports and snapshots across asset classes.

Industry Standouts

Conversations tend to outperform the universe by ~4% annualized
Capable of generating tweet signals on ~2000 equities daily
Tracks over 80 conversation topics at a time

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