by shawn-tangsc
Crypto market intelligence with receipts: funding, flows, sentiment and the macro that moves price, in one desktop dashboard — with an AI analyst that cites its source and cutoff time.
Available after the catalog security scan passes.
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MacroBay is a desktop intelligence desk for crypto. One screen holds what actually moves the market — perpetual funding and positioning, stablecoin supply and ETF flows, risk appetite, cross-asset moves, and the macro prints that reprice everything. The analyst agent reads the same evidence and explains what changed, with the source and the cutoff time attached to every number.
A claim that cannot be traced to a source record and a timestamp is supposed to be reported as a gap. That is the whole product: not a paragraph you have to take on faith.
One page a morning, about three minutes: what the market is pricing, what changed overnight, and what to watch today. Every number carries its source and its cutoff time, so you can check it yourself — and whatever could not be collected is reported as a gap instead of being quietly filled in.
macOS · Apple Silicon (.dmg) · macOS · Intel (.dmg) · Windows · x64 (.exe) · All releases
This build is not code-signed and not notarized, so the first launch takes two steps:
xattr -dr com.apple.quarantine /Applications/MacroBay.app in Terminal and open it
again.Every update you download repeats those same two steps, until a signed build ships.
The Intel build is MacroBay-x64.dmg: built, but not yet verified on Intel hardware. The Apple
Silicon download link above is unchanged, and latest-mac.yml is produced only by the arm64 job.
One person builds MacroBay, in the open. A star is the only signal I can see that someone is actually using it — and it decides whether the next person who needs this ever finds it.
→ Star the repo · it takes two seconds.
Built for people whose read has to survive a follow-up question — whether that is your first cycle or your fourth.
Crypto is the hardest place to fake a market read, which makes it the right place to build one.
So the desk is built around three habits: read the whole picture on one screen, keep the observation time on every reading, and make the AI show its work.
The desk is where a briefing's evidence lives. Open any claim on the page and you land here: the same reading, its window, its source and its cutoff — plus the panels the brief draws from.
Most crypto tools assume you already know why funding matters. Here the explanation sits next to the number: the key readings carry a plain-language note about what they mean, and every conclusion spells out the causal chain, the conditions that would break it, and the gaps.
That is the part a newcomer usually has to assemble from ten threads and a group chat: what moved price, through which channel, and what would prove it wrong. Read a few of those and the market stops being a black box — you are no longer memorising indicators, you are watching cause and effect with the receipts attached. One reading gives you a number; the next tells you the channel it works through — after a few, you can explain the move yourself.
It is not a course, and it is not advice. It is a desk that lays out its reasoning every time you open it.
Every analysis separates five things, or it is incomplete:
| Element | What it means |
|---|---|
| Facts | Observed values, each tied to a source record |
| Assumptions | What the interpretation takes for granted |
| Conditions | What would invalidate the conclusion |
| Gaps | What the available evidence does not answer |
| Time boundary | The observation time, and the asOf cutoff the query used |
A later revision is not folded back into an earlier answer. Reading the market at 09:00 and reading it at 21:00 should produce two different, defensible answers — not one answer silently rewritten.
MacroBay is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by shawn-tangsc. Crypto market intelligence with receipts: funding, flows, sentiment and the macro that moves price, in one desktop dashboard — with an AI analyst that cites its source and cutoff time. It has 56 GitHub stars.
MacroBay's catalog security scan is still queued. You can run an instant dependency and prompt-injection check now with the "Scan for vulnerabilities" button above.
Clone the repository with "git clone https://github.com/shawn-tangsc/MacroBay" and add it to your Claude Code skills directory (see the Installation section above).
MacroBay is primarily written in TypeScript. It is open-source under shawn-tangsc on GitHub, so you can review or fork the full source.
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