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Massive

@massive_com
Massive empowers participation in the financial markets by providing fair access to market data through a developer-focused platform.
Atlanta, GA
massive.com
Joined January 2017
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  • user avatar
    Massive
    @massive_com
    2h
    Five years running on the Inc. 5000 - something only 3.6% of companies in the list’s history have achieved. We’re building fast, accurate, reliable market data infrastructure for developers, businesses, and AI agents. Built by our team. Made possible by our customers. 🙏
    https://www.inc.com/profile/polygonio
  • user avatar
    Massive
    @massive_com
    Aug 27
    US equities are moving to 23/5 trading. Here’s what changes on Dec. 6 - and how Massive is preparing:
    Image
    US Equities Move to 23/5 Trading on December 6, 2026 | Massive
    From massive.com
  • user avatar
    Massive
    @massive_com
    Aug 20
    In finance, one wrong number can erase all the time AI saves. @kepler_ai_hq uses Massive for clean, replayable market data - so every answer is deterministic and traceable to its source. See how they built a data layer for provable AI:
    Image
    Kepler Builds Provably Correct AI for Financial Analysts with Massive | Massive
    From massive.com
  • user avatar
    Massive
    @massive_com
    Jul 24
    BREAKING. Equity options extended hours hit OPRA August 17. Select names get morning GTH and a 15-minute curb. On Massive, quotes and trades land on the streams you already use. → GTH: 7:30–9:25 am ET → Curb: 4:00–4:15 pm ET → Same RTH channels, zero code changes → Daily
  • user avatar
    Massive
    @massive_com
    Jul 22
    Checkout the Massive AI team's latest release - 8-K Disclosures, an endpoint that labels underlying events with actually happened. No more vague codes seen here. 📈
    user avatar
    Rian Dolphin
    @RianDolphin
    Jul 22
    A write up of some recent work we did @massive_com to tag 8-K filings using an LLM pipeline. Probably the most interesting learning was that asking LLMs for a quality score of their own tag was terribly calibrated, but using a fresh context call did much better!
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