Founding team @massive_com (fka polygon.io). Financial data for all (including agents)
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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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You can now access high quality market data through @coinbase for agents with Massive x402.
This is very cool.
You can now trade stocks through Coinbase for Agents.
Crypto. Derivatives. And now 6,000+ stocks.
Need analytics or data on those stocks? x402 payments let your agents pay for live market data mid-task, from your USDC balance on Coinbase. No subscriptions needed.
The most comprehensive agentic trading tool available today.
Build responsibly.
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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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Market data access, built for AI agents.
With x402, agents can now pay per request in USDC and access Massive’s US stock market data - no account, API key, or subscription required.
Built with @coinbasedev
massive.com/blog/x402-paymen…
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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. 🙏
ALT https://www.inc.com/profile/polygonio
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Defensible answers from AI require provenance all the way down to the source: whether that's corporate actions, tick-level pricing, risk factors, ratings, estimates, or any other meaningful input for financial modeling.
@kepler_ai_hq built their platform around that principle, and put @massive_com through thousands of tests to confirm the platform held up. (obviously it did)
Shoutout to @Benzinga for the Estimates, Ratings, and Bull/Bear Case data!
Case study 👇
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: massive.com/blog/kepler-buil…
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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: massive.com/blog/kepler-buil…
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Here's the median SPX movement throughout FOMC Days over the past 2 years.
Data source: @massive_com
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The $25,000 day-trading minimum is gone.
As of today, June 4, FINRA's Rule 4210 amendment retires the Pattern Day Trader rule and its $25,000 minimum.
So we measured what that barrier actually cost. Using 5-minute bars for every S&P 500 ticker across every May session, we scanned for each 2%+ intraday round trip a day trader could have caught.
Our analysis flagged 4,679 potential trade opportunities. Under the old rule, a PDT-restricted trader could have only taken 12 of them, about .3% of the total.
Now that the limit is gone, we may see much broader market participation.
Dig into the relevant OHLCV data using our aggregates endpoint: massive.com/docs/rest/stocks…
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After 45 Days, 70+ traders, and $100K paper portfolio each, the winner of Clawstreet Season One is LIRA!
ICYMI: a couple of months ago we partnered with @clawstreethq to run an industry leading agentic trading competition where traders used paper money in hopes to win the ultimate prize of a Mac Mini. 💻
You can find out more on how LIRA won in the Clawstreet blog.
clawstreet.io/contest/result…
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Massive Futures are now generally available.
Until today, adding futures to a cross-asset trading system meant a second API provider, a second auth pattern, and a second response schema to normalize into your data pipeline.
Futures data includes over 1500 products across CME, CBOT, COMEX, and NYMEX.
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I refuse to believe this is true because nobody I know has ever answered a cold message on LinkedIn
talked to a bunch of current YC batch founders today
The ones hitting $1m+ ARR (there are several this batch) are just ripping the same outbound playbook every time:
1. build your lead lists using tools like Origami or Clay
2. Run an auto-connect + DM sequencer on LinkedIn
3. aim for 200 connects/week. linkedin is a goldmine
4. when writing Linkedin DMs, send 2-sentences, ideally with a warm thread (shared school, mutual, etc)
5. Post on LinkedIn 5x/wk minimum
6. get good at AEO (yes, you can get results in a few weeks )
Spend 20 hrs/wk doing this properly, and you will start consistently booking demos
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Bear Claw is leading the field with the simplest strategy on the board.
The Play: Short $ETH at 71 RSI → Cover at 5.8% → Long $ATOM at 32 RSI.
Two trades. +7.10% profit.
Complexity isn't a requirement. The top spot is only one good swing away.
Join the competition here: clawstreet.io/contest
Massive x ClawStreet: Agentic Trading Competition
$100K paper portfolio. Public leaderboard. Prizes for the agents that actually perform.
Registration now open. No entry fee, just trade.
Contest starts Monday, April 13th.
Link⬇️
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We just launched a new European card-spending alternative dataset @massive_com. To get a feel for it, I dug into ten years of daily transactions at Amazon's EU retail sites to find the biggest days 👇
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It's never been easier to spin up your own investment dashboards, experiences, and tools that can cater to your personal preferences.
You control all the data and all the functionality. Want a new feature? Just prompt it into existence
@brotzky proving it's really that simple.
The mission to build the best stock chat in the world continues.
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Exciting news for @Polymarket, but perhaps there was a better cover image for this article? @CNBC
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Hot take, but this overvalues retail sentiment data by a wide margin.
Retail users (in aggregate) are reactionary to news, hype, and FUD, which skews the data significantly.
For example - what % of people actually bought $BIRD yesterday compared to those that watched it go crazy on charts? It's probably low. I watched, and didn't even consider it.
The real alpha has been monetized through PFOF for 20+ years.
Also- bot manipulation (see memecoins).
Everyone thinks X Cashtags is just a cool UI update. They just deployed the most dangerous financial data engine on Earth.
The global iOS rollout just went live. Here is what the timeline looks like from a phone in Vietnam.
Real-time $TSLA data, market caps, and crypto feeds, natively inside the keyboard.
Legacy finance is heavily geofenced. If you live outside the US, accessing this data or building a portfolio usually means fighting through clunky, high-friction local brokers.
X bypassed all of it. But the real play is invisible.
When you type a ticker into the composer, the auto-complete triggers a live ping. X knows exactly what asset you are researching, debating, or preparing to buy.
Before you even hit "Reply". Before you even execute a trade.
X just built the largest retail sentiment engine in history.
Hedge funds pay tens of millions for alternative data. A Bloomberg Terminal tells Wall Street what the price is doing.
X tells them what 550 million people are thinking about buying right now.
The actual product isn't the trading integration. It is having a monopoly on global retail intent milliseconds before the market moves.
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