Market Flux Data Services

Financial news data built for your systems

A real-time feed and a 33M+ article archive, collected from 500+ curated sources and tagged by ticker, topic and sentiment. Tell us what you are building and we will shape the delivery around it.

Market Flux News Graph (Sep 20 to Oct 20, 2026)Showing 14 of 20 topics and the most-covered tickers
NVDAAMZNMSFTAAPLTSLAGOOGMETAJPMGSBTCTSMMUAMDUNHLLYBACLMTBLKXRPETHXOMCVXNEMDLRTechnologyEarningsAnalyst RatingsCorporate ActionsStock MarketsGeopoliticsMacroCryptoInterest RatesOil & GasMetalsHealthcareLegalReal EstateNODESSENTIMENTSECTORTopicTickerPositiveNeutralNegativeTechnologyConsumerFinancialsCryptoEnergyHealthcareOther
  1. 01Sources500+ curated publishers
  2. 02CollectionGathered directly, 24/7
  3. 03CleaningOne consistent structure
  4. 04TaggingTicker, topic and sentiment
  5. 05DeliveryStream, API or bulk files
One pipeline built in-house
33M+articles

A continuously growing archive of tagged financial news, collected from sources our team selects and reviews, with no third-party data suppliers in between.

500+Curated Sources
20News Topics
35K+Articles Tagged Daily
Markets Covered
Equities
Crypto
FX
Commodities
Plus fixed income, macro, ETFs, indices, real estate and more
Sentiment on Every Article
Very NegativeNegativeNeutralPositiveVery Positive
Each article is also scored from −1 to +1

Monitored 24/7 by a purpose-built system for high uptime.

Real-time feed

News in your stack as soon as we collect it

Each item is cleaned and tagged the moment it arrives, then pushed to your systems over a streaming connection. Every item carries the publisher's timestamp and the time we collected it, so you can measure timeliness for yourself.

Streaming delivery over WebSocket
Pushed the moment each item is tagged
Monitored around the clock
Live StreamWebSocket · JSON
Example Business News · Published 09:30:00 · Collected 09:30:31Retail stocks slide as consumer spending coolsSector falls after monthly data shows a second straight drop in spending.
NEGATIVE-0.36Stock Markets$XRT
Example Wire · Published 09:29:34 · Collected 09:30:00Chipmaker raises full-year outlook as data center demand acceleratesGuidance lifted on stronger than expected orders from cloud providers.
POSITIVE+0.62TechnologyEarnings$NVDA$AMD
Example Markets Desk · Published 09:29:27 · Collected 09:29:46Central bank signals rates will stay higher for longerPolicymakers see further cuts as unlikely this year; yields rise across the curve.
NEGATIVE-0.41Macro$SPY$TLT

Every item also includes a link to the original and a confidence level for each topic.

Historical archive

33M+ articles to research and test against

Research, backtest and train on the same tagged news your systems will receive live. We scope each extract to the tickers, topics and dates you need and deliver it the way your team works.

Years of tagged, timestamped history
Identical structure to the live feed
Walked through by our team before delivery
Example RequestPrepared by our team
Tickers
$NVDA$AMD$TSM
Topics
EarningsTechnology
Date range
Jul 2026→Oct 2026
Format
JSONCSV
Delivery
APIBulk file
Tell us the scope and we prepare the extract for you.or
Use cases

Built for teams that run on news

For funds, fintechs and AI teams that need financial news inside their own systems.

  • Event-Driven Trading

    Act on company and macro news as it is collected, filtered to the tickers and topics you trade.

  • Quantitative Research

    Build sentiment and news-flow features from tagged history and test them against your own signals.

  • Portfolio and Watchlist Monitoring

    Follow every holding in one stream, including companies that get little newswire coverage.

  • Backtesting News Signals

    Run news-based ideas against years of tagged, timestamped articles before you trade them.

  • Fintech and Media Products

    Power news features in your app, terminal or newsletter with a feed that arrives cleaned and tagged.

  • AI Agents and LLM Applications

    Ground models and agents in sourced, timestamped financial news rather than open web results.

How we work with you

A solution shaped around your use case

  1. 01Tell Us What You NeedShare your use case, the universe you cover and how your systems take in data.
  2. 02Get a 3-Month SampleWe pull a sample on your tickers and topics so your team can test the data first.
  3. 03We Scope Your DeliveryWe agree the coverage, history and format, and walk your team through the data.
  4. 04Integrate and Go LiveWe help you connect and stay on hand as your use grows, with direct access to the team that runs the pipeline.
Talk to our data team

Tell us what you are building

Every engagement starts with a conversation. Share your use case and the markets you care about, and we will come back with how we can deliver the data, what history fits, and what it would cost.

What kind of team are you? (optional)
What are you interested in? (optional)
What is your timeline? (optional)
FAQs

Questions teams ask us first