ChatterQuant is an AI-powered market intelligence platform that monitors millions of social media posts daily to provide actionable trading insights and risk management data for professional trading firms.
Data & Analyticschatterquant.comTracked since 2026-08-211 discovery source
973Backlinks
107Referring domains
22Domain authority
-13.6%Referring domains · 90 days
Authority & distribution
How strong is ChatterQuant’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
973Current snapshot
Referring domains
107Current snapshot
Authority
22Domain authority · category median 22
90-day move
-13.6%Referring domains, last 90 days
At 22, ChatterQuant sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“ChatterQuant”
ChatterQuant is an AI-powered market intelligence platform that monitors millions of social media posts daily to provide actionable trading insights and risk management data for professional trading firms.
Data & AnalyticsSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://chatterquant.com
Observed across 1 discovery source.
Research questions
What the evidence answers about ChatterQuant.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What features and interfaces does ChatterQuant offer?
ChatterQuant offers enterprise dashboards for actionable intelligence and risk management, as well as API access (including REST and a forthcoming websocket API) for real-time data products. It also provides a Signals Intelligence (SIG-INT) dashboard for monitoring market trends, stock sentiment, and narrative changes.
How is ChatterQuant priced or packaged?
The evidence does not provide specific pricing details. The homepage mentions contacting sales for API access and indicates a promotional 'BLACK FRIDAY SAVE 80%' offer, but no standard pricing structure is listed.
What specific problem does ChatterQuant's platform address for traders?
It addresses the challenge of generating alpha, managing risk, and streamlining due diligence for professional trading firms by providing them with social sentiment and discussion monitoring across multiple social media platforms.
What is ChatterQuant and what problem does it solve?
ChatterQuant is an AI-powered market intelligence platform designed for professional trading firms. It solves the problem of monitoring and analyzing massive volumes of social media data by processing hundreds of millions of posts daily to deliver actionable trading insights and risk management data.
Who is ChatterQuant designed for?
The platform is specifically built for professional trading firms, including banks, asset managers, hedge funds, portfolio managers, market makers, brokerage firms, quant funds, and data redistributors.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full ChatterQuant intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured