Market Data via AI, API, and more

Atlanta, GA
Joined January 2017
Better data makes bolder ideas. Massive provides high quality market data, made simple, so you can focus on the fun part.
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This developer built a city visualizing sectors of the S&P 500 using Massive. This is insane. Everything from the lights, the weather, to the heights of the buildings come from live market data. Here is how to read it: Buildings: Each tower is one of the 18 largest S&P 500 stocks in its GICS sector. Height follows the square root of market cap. Windows: Lit windows show how the stock is doing today. A dark tower is down, a fully lit one is up. Tower: The large tower in the open plaza is SPY, the whole market. Its crown glows with SPY's move, and the LED bands scroll up or down with it. Weather: The sky drifts from dusk at the open to night at the close. It warms when SPY is up and goes cold when SPY is down. Traffic: More cars appear relative to SPY volume against its 20-day minute average. Fireworks: Launch when a stock crosses another +5%, a sector another +2.5%, or SPY another +2%. Music: Tempo is traffic, hi-hats and swing are volatility, the key is SPY direction, the bass filter opens with the size of SPY's move, and the arpeggio steps through the 11 sectors. Check out the demo here: robertcreative.com/city Build something Massive.
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Options trading is still painfully manual. Watching charts on TradingView. Scanning options chains. Setting price alerts. Managing exits. Today, we're launching Options Trading on Conviction. What if trading options was as simple as describing your strategy? Conviction turns your idea into a trading agent that monitors the market, selects contracts, and executes when your conditions are met. Link in comments.
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Big data needs bigger infrastructure. We've 2x Massive's New York data center capacity, with room to scale. Shoutout to our platform engineering team for making it happen. 💙
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Better data helps you build better financial applications. Love this @0rdlibrary🤝
I have begun to integrate @Backpack x @massive_com into my paper trading platform. I have also begun to integrate @LaunchOnSF Paper stonks, Paper RWAs, Paper DEX. Paper everything.
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Massive is hiring. The team is expanding across engineering, data infrastructure, developer support, and sales as we continue to grow. See open roles below: Engineering - Datafeed Integration Engineer - Go Engineer, Market Data - Rust Engineer, Networking Centric - Rust Engineer, Foundational Platform - Senior Data Engineer II, Product Engineering - Software Engineer, Streaming SQL Product and data - Corporate Actions & Data Quality Lead - Principal Financial Data Ontologist & Taxonomy Architect Developer support - Developer Support Engineer - Developer Support Engineer, AI (APAC) Sales - Inbound Sales Representative Apply here: massive.com/careers?utm_sour…
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Proud to sponsor the inaugural Gator Quant Hacks at @UF. Nearly 100 students took on Massive’s “Trade the 8-K” challenge, using real filings data to build and test trading strategies. Congrats to all the winners and our next generation of quants🤝
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A little experiment: visualizing the market as a live city. Each district is a sector and each tower is one of its biggest S&P 500 stocks. Lit windows show how a stock is doing. Weather volatility, Traffic is volume. Fireworks for gains. robertcreative.com/city
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Massive retweeted
Using @massive_com's data through an AI agent, "you can get answers instantaneously that you need to make a trade decision." Each answer is paid for through x402, and "every request is only a cent." — Stevie Palmateer
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Massive retweeted
Last night’s stream was really dope. Caught this live with our new @openmarket_xyz charting As well as @massive_com mcp data flowing. Your agents with CUA are going to love this site. It’s built for them, using WebMCP for web 3! Musebook.trade/markets
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Massive retweeted
In the AI economy, whoever owns the original data can accrue the most value out of it "The most expensive type of data now is source and factual data. LLMs are craving it to train on." "If you create data from a core source, you're higher in the supply chain of value." "Maybe you're a biometric device, and you actually are generating it. Or environmental science, anything in the oceans, computing data that might be used to measure climate change. As close to the measurement as possible." Stevie Palmateer, VP of Product Engineering at @massive_com.
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Better data for your agent means better decisions.
ALPHA: Your AI agent can research markets for free by plugging into @massive_com's MCP "The one thing that we truly believe, that we're putting a bet on, is that the agent becomes the analyst for you."
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Massive retweeted
604 STOCKLANA submission. Hundreds of new ideas for what's possible with stocks on Solana. Judging concludes this week. Winners will be announced early next week. The market is open for building.
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Tune in to see VP of Product Engineering at Massive, Stevie Palmateer, talk about how AI agents buy @massive_com stock data, one request at a time, in USDC using x402. Thank you to @stabledash for having us on 🤝
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Massive retweeted
Massive, ATXP/Unbiased, OpenApps, Stable - Stabledash Live 10/6 xitter.cf/i/broadcasts/1qJVmylDp…
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