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Katie Adams shared thisFive straight years on the Inc. 5000. A testament to the incredibly talented team that made it happen. The best part is, we’re nowhere near done.Katie Adams shared thisMassive has been named to the Inc. 5000 for the fifth consecutive year - an achievement reached by only 3.6% of companies in the list’s history. Our growth reflects the scale of what we’re building: fast, accurate, and reliable market data infrastructure for developers, businesses, and AI agents. Thank you to our employees and customers for making it possible. 🙏 https://lnkd.in/g3TXzuzw
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Katie Adams reposted thisKatie Adams reposted thisQuinton Pike, CEO, Massive (formerly Polygon.io), and its executive management team, joined us to close the market and celebrate Massive’s new partnership agreement with TMX Group. This partnership agreement is for the redistribution of TMX's Corporate Event Data, provided by Wall Street Horizon. Massive is now an official provider of TMX's data via its API. This collaboration allows Massive to offer a more comprehensive suite of financial data to its clients by integrating TMX Group's proprietary data sets into its platform. Massive builds the infrastructure that powers the next generation of financial applications. Thousands of developers, startups, and businesses rely on its APIs every day to stream, analyze, and act on real-time market data. For more: http://ms.spr.ly/6043tPuCB
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Katie Adams reposted thisKatie Adams reposted thisFriday, November 14, 2025, We got to close the market over at TMX Group up in Toronto, Canada 🇨🇦 as part of our ongoing partnership with them. Developers can access their events data via our API endpoints. Find out more at the link in the comments below.
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Katie Adams reposted thisWe had a blast joining Jill Malandrino at Nasdaq TradeTalks to discuss our Massive rebrand and partnership with Benzinga.Katie Adams reposted thisPolygon.io is now Massive.com - and the mission just got bigger. From a simple market-data API to a platform aiming to onboard all financial data in one place, the rebrand reflects exactly where they’re headed. We also spoke about their latest update: giving developers real-time access to news - a vital layer for building algos, trading tools, and next-generation financial products. Developers asked for it. Trading applications needed it. And now it’s here - with more collaboration on the way.
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Katie Adams reposted thisKatie Adams reposted thisToday, we’re sharing an important update: Polygon is becoming Massive. Our new name aligns with the breadth and scale of what we provide to developers across markets, data sets, and our mission remains unchanged. We’re here to modernize financial infrastructure with reliable, developer-first tooling. What’s not changing: - Your existing code, API keys, and integrations continue to work. - Accounts, logins, and data quality are unchanged. - api.polygon.io remains live and supported. What is changing - Primary site and docs at massive.com - New API base: api.massive.com (supported in parallel with api.polygon.io) - Email forwarding from polygon to massive - Invoices list Massive Inc. and statements show MASSIVE.COM No action is required today, and you can adopt the new domain when it’s convenient. If you have questions, our team is here to help at support@massive.com. Full rebrand details available in the below blog.
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Katie Adams reposted thisKatie Adams reposted thisOpenAI’s GPT-5 can write full stock market analysis reports in under 200 lines of code. GPT-5 + OpenAI's easy to use Agent SDK and Polygon's MCP server combine real time and historical stock data, news, sentiment, and more into actionable intelligence. This demo uses 🤖 Agents 🛑 Guardrails 🧠 Sessions ⚒️ Custom Tools Check our the demo, and talk to the market. https://lnkd.in/g3EJTMGe
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Katie Adams reposted thisKatie Adams reposted thisClickHouse just shared a detailed guide using real-time tick data from Polygon.io. This is a great example of low-latency analytics in action. Here's what it covers: - WebSocket streaming with our API - High-frequency inserts into ClickHouse - Materialized views for OLAP workloads - Live market dashboards built in React You can read the full post here: https://lnkd.in/erh5F7q2Build a real-time market data app with ClickHouse and Polygon.ioBuild a real-time market data app with ClickHouse and Polygon.io
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Katie Adams reposted thisKatie Adams reposted thisWe are so grateful to have been awarded the Best API Solution at Benzinga's 2024 Global Fintech Awards! 🏅 This recognition highlights our mission to make financial market data accessible and actionable through a simple, robust API platform for a wide range of clients and applications.⚡️ Kudos to our team for all the hard work over the past few years!
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Katie Adams shared thisCongrats to Didier Rodrigues Lopes and the team at OpenBB on the product launch. Take a minute to go support them on Product Hunt!Katie Adams shared thisOpenBB Terminal on TechCrunch today! 🦋 What an incredible opportunity to present our new AI financial Terminal and share our story with the world. The best part? We're just getting started! 🙌 Read the full article here: https://lnkd.in/dWEKECgP
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Katie Adams liked thisHeading to WFIC 2026 with the Massive team. If you're attending and want to talk market data, send me a message!Katie Adams liked thisWe’re heading to Copenhagen 🇩🇰 Massive is proud to be a Bronze Sponsor of WFIC 2026, bringing together the global financial information community to discuss what’s next for market data and financial technology. Join us October 11–14. We’re looking forward to the conversations, connections, and a few days talking all things market data. See you in Copenhagen! #WFIC26 #MarketData #FinancialData
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Katie Adams reacted on thisKatie Adams reacted on thisThis has been a long time coming… EuroSummer 2026 is officially over and… I’m excited to announce I’ve joined the Product Engineering team at Massive! The mission, the people, and the scope all have me stoked to be here. ALSO - Thanks to everyone who reached out as I was exploring new opportunities, I’m forever indebted to the support shown to me! Onwards 🚀
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Katie Adams liked thisAccount Management is more than just QBRs; it's about building partnerships, understanding workflows, and ensuring our solutions are helping our customers address the most challenging business problems. Welcome to Massive, Guillermo Hernandez!Katie Adams liked this🚃 New crossing, New adventure. 🌉 Thrilled to share that I’m joining Massive as a Technical Account Manager! Massive is modernizing financial market data and making it easier for developers, quants, and institutions to access the markets they build on. I’ll be focused on building strong client relationships, helping customers get the most out of the platform, and making sure their feedback helps shape what we build next. Excited to dig in, learn, and help our clients take their projects even further. Cheers from SF - Keep on building. https://massive.com/
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Katie Adams liked thisKatie Adams liked thisIt was great to join CNBC on The Exchange from Chicago today to discuss the launch of the new S&P Pantera Digital Asset Index, designed to serve as a benchmark for institutional investors who want to allocate to digital assets in a more disciplined and structured way. We were thrilled to collaborate with Dan Morehead and the team at Pantera Capital to build this new index, applying the same standards in trusted benchmarks like the S&P 500 to help investors focus on fundamentals in one of today’s most fast-moving asset classes. Watch the conversation: https://lnkd.in/gQhK63qT For more details on the index, read our press release: https://lnkd.in/gFCDjU6u
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Katie Adams liked thisKatie Adams liked thisCheatsheet for the Massive Futures launch. You can find out more about the launch in our blog: https://lnkd.in/gGEBdRF9
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Katie Adams liked thisMASSIVE Update: Can you see the Future(s)? We’re thrilled to share that Massive Futures are now live, bringing 1,500+ products across CME, CBOT, COMEX, and NYMEX into the unified Massive experience. It’s another powerful market dataset to help you analyze trends, build conviction, and express your opinion on the market. Available through REST, WebSockets, and flat files, Massive Futures includes a fully queryable contract and product index, UTC schedules, OHLC aggregates, tick level trades, and top of book quotes. Check out our docs for working examples in Python, Go, JavaScript, and Kotlin.Katie Adams liked thisWe are very excited to announce that Massive Futures are now LIVE. Until today, adding futures to a cross-asset trading system meant signing up for a second provider, learning a second authentication pattern, and normalizing a second response schema into your data pipeline. Massive Futures includes over 1500 products across CME, CBOT, COMEX, and NYMEX through our REST API, WebSockets or flat files. All of these follow Massive's same consistent design as our other products. The REST API is built around a four-step discovery chain: - Products: identify the contract and its specifications - Contracts: select the right expiration - Schedules: confirm exact session windows in UTC - Aggregates: pull OHLCV bars at any resolution from one second to one session The WebSocket layer delivers accurate, real-time updates across four channels: per-second aggregates, per-minute aggregates, tick-level trades, and top-of-book quotes. For large-scale historical access, flat files covering all four exchanges are available via S3-compatible download by approximately 11 AM ET the following morning. Futures data ranges from $0 - $199/mo for personal plans or $999/mo for business plans + our docs include working examples in Python, Go, JavaScript, and Kotlin. You can find out more about the launch in our blog: https://lnkd.in/gW_uP2Zv
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Katie Adams liked thisKatie Adams liked thisThe old model for accessing market data required infrastructure. The best data stayed gated behind teams that had the time and resources to reach it. Where does that leave investment professionals that deserve to spend less time on data pipelines and more time on generating alpha? Massive was built for that world from day one (data quality included). Equities, Options (a dataset that is especially MASSIVE), Currencies, Indices, and Alternatives. REST, Websockets, Flat Files. In your Jupyter notebook or production systems in hours, not quarters. The data exists, the access didn’t. Massive changed that. Massive.com/docs
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