This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
MomentumHunter
Agentic trading is new. Here's what people are trying.
Handing an AI agent a broker connection and a page of instructions is a genuinely new thing to be doing, and there's no canon for it yet. MomentumHunter is an open notebook of what people are actually trying — momentum, options, risk, and a growing set that parse public filings: STOCK Act disclosures from Pelosi, Crenshaw and Tuberville, 13Fs from Berkshire and Scion. Every prompt keeps full version history. Free to read and fork. Not advice, not signals — nothing here places a trade.
Hey PH 👋
Handing an AI agent a broker connection and a set of written instructions is a genuinely new thing to be doing. There's no canon for it yet — no best practices, no "here's how you write a good one." Most people I talk to don't know it's possible.
So MomentumHunter is less a product than an open notebook. People publish the actual prompts they're giving their agents — momentum, options, mean reversion, risk management, journaling — and every one keeps its version history, so you can watch someone's thinking change over twenty revisions. That history is the interesting part.
The ones people find first are usually the public-filings prompts: walking an agent through Nancy Pelosi's or Dan Crenshaw's STOCK Act disclosures, Tuberville's Senate PTRs, or Scion's and Berkshire's 13Fs. All public data, and the prompts keep the awkward parts in — the 45-day reporting lag, the amended and late filings, disclosed dollar ranges so wide they're nearly useless. They stop at "here's what was filed" instead of guessing why, which I think is the only honest way to do it.
What it isn't: a broker, an advisor, a signal service. Nothing here can place a trade, and upvotes mean people found a prompt interesting to read, not that it made money. Nobody knows what works yet — that's sort of the point.
Free to read, free to publish. If you're experimenting with this, I'd love to see your prompt in here, especially the ones that didn't work. Those are more useful than the wins.
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About MomentumHunter on Product Hunt
“Agentic trading is new. Here's what people are trying.”
MomentumHunter was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #107 on the daily leaderboard. Handing an AI agent a broker connection and a page of instructions is a genuinely new thing to be doing, and there's no canon for it yet. MomentumHunter is an open notebook of what people are actually trying — momentum, options, risk, and a growing set that parse public filings: STOCK Act disclosures from Pelosi, Crenshaw and Tuberville, 13Fs from Berkshire and Scion. Every prompt keeps full version history. Free to read and fork. Not advice, not signals — nothing here places a trade.
MomentumHunter was featured in Fintech (47.5k followers), Investing (26.8k followers) and Artificial Intelligence (478.1k followers) on Product Hunt. Together, these topics include over 147.2k products, making this a competitive space to launch in.
Who hunted MomentumHunter?
MomentumHunter was hunted by Michael Lancaster. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MomentumHunter stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Michael Lancaster