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Market Data via AI, API, and more

Atlanta, GA
Joined January 2017
Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)Photo by Massive (@massive_com)
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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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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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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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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Massive retweeted
Massive, ATXP/Unbiased, OpenApps, Stable - Stabledash Live 10/6 nitter.gq/i/broadcasts/1qJVmylDp…
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Build an algorithmic trading strategy from scratch, with @massive_com market data powering the signal. 📈 Free course from @freeCodeCamp using Massive, SnapTrade & @AlpacaHQ.
A free algorithmic trading course just dropped on @freeCodeCamp. Learn how to build a dashboard that calculates 12-month momentum scores across 50-stocks to generate and execute paper trade recommendations using Massive, Snaptrade, and @AlpacaHQ. youtube.com/watch?v=zH2Mg782…
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Me to the fly after his profit taking.
Can you out trade a fly? This developer used Massive data to turn an asset’s technical setup into a smell that went to a real fly's smell circuit. It then buys its favorite and takes profit on the smell of these assets alone. This fly is up $7k so far. Here's how:
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Thanks to Massive for showcasing my experiment.
Can you out trade a fly? This developer used Massive data to turn an asset’s technical setup into a smell that went to a real fly's smell circuit. It then buys its favorite and takes profit on the smell of these assets alone. This fly is up $7k so far. Here's how:
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Massive retweeted
I am underperforming a fly😅
Can you out trade a fly? This developer used Massive data to turn an asset’s technical setup into a smell that went to a real fly's smell circuit. It then buys its favorite and takes profit on the smell of these assets alone. This fly is up $7k so far. Here's how:
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📈 NEW: the Musebook Stonks Hub is live — track real stocks (META, AAPL, NVDA…) with live prices, daily OHLC charts, VWAP + volume, right inside Musebook. Data by @massive_com. powered by $CLAWD musebook.trade/stocks
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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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😲🤯Another day another model release. Just tested GPT-5.6 Sol on the new @massive_com Remote MCP Server with this monster query… Using the massive (pun intended) Massive data, it analyzed the latest FOMC rate decision’s impact on QQQ + options: - 1-min QQQ bars from 30 min before the statement to 90 min after the press conference - One liquid 25-45 DTE expiration - ATM call/put + ~5% OTM call/put - Price & volume reaction, bid-ask spreads, IV changes, downside skew, gamma exposure - Statement vs press conference: which one actually moved the market more? - Plus the exact graphs requested No code. No manual data pulls. Just one prompt → full professional-grade event study in seconds complete with a graph. 📈📊
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Woah 🤯 I connected @spacexai's Grok 4.5 to @massive_com using their new remote MCP server - asked it to analyze @Tesla performance and create a powerpoint with the results. Did it all in under two minutes. Pretty blown away by this. This is just the tip of iceberg too. I haven't even tried my hard queries yet.
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Futures data has been a complicated path for indie builders for a long time. @massive_com just shipped ES, GC, CL on the same REST API as equities and options. Changes what one person can build solo. Combine with other APIs and build something cool. massive.com/blog/futures-dat…
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Massive retweeted
EVER WONDER WHAT THE MOST VOLATILE PERIODS OF EACH TRADING DAY ARE, ON AVERAGE? Me too. I'm not gonna lie, I think this is one of the coolest things I've ever made here. This chart shows you how volatile each rolling 30m period is over the course of an average 24 hour trading day. I even tested it out over high VIX and low VIX environments. Did you think the first 30m of the day were the most volatile? That lunchtime was boring? Check it out. Huge thanks to the guys over @massive_com for the data to run this. All times on this chart are Central.
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Gemini just passed my stock market analyst test. ICYMI, Google released a bunch of stuff today, including an updated interactive agentic coding terminal - Antigravity 2.0 and a new model - Gemini 3.5 Flash. Thought it would be cool to put it to the test using the @massive_com MCP server: github.com/massive-com/mcp_m… In under a minute, it compared TSLA and NVDA performance over the past months and generated an outlook. 🤯
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Replying to @massive_com
@massive_com provides the current day's open interest data.. No need to wait. We give you today's, every single morning.
Dev trader I've been working with tested @Public's options OI data against Alpaca's this morning. Public showed Friday's OI on Monday. Alpaca showed Thursday's. One day doesn't sound like much until you realize max pain, PCR, and net delta are all calculated from that number. You're either trading on yesterday's positioning or the day before's. We give you yesterday's, every single morning.
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