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@Jrbell19

Founding team @massive_com (fka https://t.co/q3ASlTxILd). Financial data for all (including agents)

Katılım Ocak 2012
84 Takip Edilen330 Takipçiler
jack
jack@Jrbell19·
@Andercot The broad market already thinks their screen time is too high, which only adds reluctance to strap a screen an inch from their eyeballs
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Andrew Côté
Andrew Côté@Andercot·
The absolute non-takeoff of VR and AR is probably one of the big upsets in consumer electronics history Pretty much everyone thought this would be huge and it sort of just isn't
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jack
jack@Jrbell19·
@massive_com provides the current day's open interest data.. No need to wait. We give you today's, every single morning.
Matthew@Public@BuildwithPublic

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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jack
jack@Jrbell19·
@socialwithaayan Real missed opportunity not shipping it with an integration to @massive_com. We support a ton of data for a much larger market share of users who would use this library
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Muhammad Ayan
Muhammad Ayan@socialwithaayan·
BREAKING: ANTHROPIC JUST OPEN SOURCED THE ENTIRE WALL STREET WORKFLOW. DCF models. LBO models. Equity research reports. Merger analysis. KYC checks. All of it. Free. On GitHub. It connects Claude directly to: -> Bloomberg, FactSet, S&P Global, Morningstar, PitchBook -> Builds real Excel models with live formulas and sensitivity tables -> Drafts CIMs, IC memos, earnings reports, and buyer lists -> Runs PE due diligence, GL reconciliation, and NAV tie-outs This is not a chatbot wrapper. These are production agents that own entire financial workflows. The kind firms pay $50,000 to $500,000 per year in software to run. Now it is a one-line Claude Code plugin install. 19.8K GitHub stars. Apache-2.0 License. 100% Open Source.
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jack
jack@Jrbell19·
It's really that simple..
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jack
jack@Jrbell19·
At first glance, I don't think this checks out. If rounded/even prices indicated retail, trades < 100 shares should round more than 2000+ share blocks. Based on the actual tape data from yesterday, that is not the case. For TSLA, NVDA, AAPL, GME: odd-lots print at .00/.25/.50/.75 6.6% of the time but 2000+ share blocks print there 8.7% of the time. Data from @massive_com historical trades dataset
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jack
jack@Jrbell19·
@QCompounding Polygon (now Massive) can mostly cater to the top 12 use cases alone, so that top spot definitely makes sense. Not sure I get Wayback Machine's value prop here.
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Massive
Massive@massive_com·
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
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Massive@massive_com

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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jack
jack@Jrbell19·
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.
Brotzky@brotzky

The mission to build the best stock chat in the world continues. Graphs (11): line, multi-line, bar, grouped, stacked, donut, gauge, target, earnings, peers, drawdown. Tools (32): search, screen, scrape, price, history, technicals, financials, ratios, multiples, earnings, dividends, analysts, insiders, news, sec filings, economic, reddit...

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jack
jack@Jrbell19·
@brotzky Anytime. You're setting the bar high once again!
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Brotzky
Brotzky@brotzky·
Special thanks to massive.com (formerly polygon) for giving me access to their API. We worked together when we built fey.com and it was always a joy to use their service. Now their API powers a bunch of tools under the hood!
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Brotzky
Brotzky@brotzky·
The mission to build the best stock chat in the world continues. Graphs (11): line, multi-line, bar, grouped, stacked, donut, gauge, target, earnings, peers, drawdown. Tools (32): search, screen, scrape, price, history, technicals, financials, ratios, multiples, earnings, dividends, analysts, insiders, news, sec filings, economic, reddit...
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jack
jack@Jrbell19·
Exciting news for @Polymarket, but perhaps there was a better cover image for this article? @CNBC
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jack@Jrbell19·
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).
Tat Thang@tatthang

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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Brotzky
Brotzky@brotzky·
AI has completely changed how I work. Over the weekend I built myself a personal investment tool without opening an IDE or Figma. It has agents, chat, fundamentals, screener, and so much more. All perfectly customized to my needs. And it's insanely fast and fun to use.
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jack
jack@Jrbell19·
Wild to see where this is going. Our goal in building the MCP was simply to make our market data feel native inside whatever environment users were already working in. Seeing it in @claudeai's top 10 connectors alongside tools like Chrome and Figma means we're exactly where we need to be.
Massive@massive_com

Massive Market Data is the now the 8th most popular connector in @claudeai desktop, right behind @googlechrome and @figma. If you have not tried it yet, all you have to do is type in "Massive" in the connectors search bar, click install, and paste in your API key. It is THAT simple to give Claude access to accurate market data, allowing anyone to do deep research, build charts, or run trading calculations. Keep building something Massive. 📈

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jack@Jrbell19·
@brotzky @ArrugiaLabs you know better than to use yfinance! let me get you set up with the whole 9
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Brotzky@brotzky·
@ArrugiaLabs yfinance, sec edgar, and then scraping a bunch of other apis and pages. the query is editable to anything you want in the sidebar there [Edit Instructions] so when you visit a stock it auto runs it for you or you can regenerate it.
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jack
jack@Jrbell19·
@sytaylor @Kalshi It checks out. People seem to think @Kalshi should be held responsible for insider trades, but Nasdaq and NYSE aren't held responsible when it happens on their exchanges, so not really different
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Simon Taylor
Simon Taylor@sytaylor·
Interesting ads by @Kalshi in D.C. Quite different to the tv spots
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Washington, DC 🇺🇸 English
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