Context Analytics. A Bridgewise company
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Unstructured Data Unmatched insights.

Context Analytics turns social, podcasts, news and corporate filings into structured, model-ready signals for quant, risk and portfolio teams.

Request trial data Explore the feeds
ingest · x.com · 14:31:02.114 ingest · stocktwits · 14:31:02.380 ingest · reddit · 14:31:02.412 score · s_factor · 15 factors deliver · api · 14:31:02.901 ingest · x.com · 14:31:03.027 score · s_buzz · [TICKER] score · s_delta · [TICKER] deliver · api · 14:31:03.644 ingest · reddit · 14:31:03.958 score · s_volume · sv_mean deliver · api · 14:31:04.105
Xnow
Marcus K. @mkoptions[TICKER] breaking out above resistance on heavy volume, watching for continuation into the close
r/
Redditnow
r/wallstreetbets · u/quant_vegaUnusual options flow on [TICKER] today, calls getting expensive fast
$
StockTwitsnow
$[TICKER] · @mike_tradesBulls in control here, breaking key resistance on strong volume
Illustrative sample, not live data
The source advantage

 Licensed access to novel sources that are hard to structure. That’s the edge.

0+ years Historical data across social, news and podcast feeds
<58 minute Real-time delivery, before catalyst signals decay
0+ factors Qualify every signal through rules-based NLP
Never blended You see source, processing and signal, and choose what enters your model
Who we serve

One engine. Three desks.

Quantitative traders01 / Short term

Generate alpha nobody else can see.

Model-ready signals for higher-frequency and short-term strategies.

S-FactorActivityQuantitative News
Risk managers02 / Shorter & longer

Identify risk before it’s priced in.

Coverage across every holding and every disclosure, with the manual review taken off your team.

AI SummaryGMRF / MRF
Portfolio managers03 / Longer term

Catch emerging trends before the market moves.

Validate or kill a thesis before the name reprices, with no model to build.

AI SummaryDashboardsPodcast Sentiment
Why institutional investors choose us

Built to provide edge

01 / Novelty

Sources traditional investors do not use

Licensed X, StockTwits, & Reddit built to fit your strategy.

02 / Transparency

One methodology, never blended

Rules-based NLP across social, news and filings, so scores reconcile. No data cleaning step before research.

03 / Durability

Proven in your own backtest

Up to 10+ years of history during trials, with any gap or outage backfilled. Test before you commit.

The feeds

Both ends of the horizon.

View data dictionaries
FeedHorizonWhat it is
S-Factor Feed Short term The core social signal. Structured sentiment from X and StockTwits, qualified by 15+ S-Factors.
Activity Feed Short term The granular view, with ingest timestamps for every event catalyst.
Quantitative News Feed Short term Global news scored by the same engine, directly comparable with social. U.S. equities.
AI Summary Feed Shorter term A plain-English read on why a name is moving, from the last 24 hours of discussion.
Podcast Sentiment Analysis Feed Longer term Quantitative and qualitative outputs from business, tech and finance podcasts, for long-term conviction.
GMRF / MRF Longer term Risk language and disclosures surfaced automatically from global filings, 10-K, 10-Q, 8-K and more.
Custom feeds Built to request When your universe or thesis does not map to a standard feed, we build one around it.
Research

From our data science team.

All research
[RESEARCH IMAGE]
Investing · Jun 11, 2025 Cross-source sentiment: building alpha from news and social media
[RESEARCH IMAGE]
Trading · Oct 22, 2025 Tracking shifts in market emotion: the power of raw S-Acceleration
[RESEARCH IMAGE]
Filings · May 29, 2025 How CompuText turns financial filings into instant intelligence

Put our signals to the test.

Meet with us to discuss your universe and horizon. We will send a historical data cut to let you test it within your own workflow.

Talk to a data specialist