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TradeAI News

The structure behind the move — never the direction

Fintech
Investing
Artificial Intelligence
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Hunted byJesus DiezJesus Diez

Gamma exposure, short interest and FTDs, insider Form 4s, analyst-accuracy backtests, and a trade journal that knows the conditions behind each trade. Every number traces to a named source, with the date it was true. Significance and magnitude — never direction. I audited my own marketing and deleted every figure that didn't trace, including one claiming "2M+ historical situations" when the real dataset is 7,931 events.

Top comment

Hi PH — I'm Jesús; I built TradeAI News.

Three weeks ago I audited my own marketing site and deleted every number that didn't trace to a real source. The worst one claimed "2M+ historical situations." The real dataset is 7,931 events across 40+ types. I deleted it, and I'm telling you here, because if I'm going to ask this industry to be honest, the first site I have to clean is my own.

That story is the whole product, so here's the rest of it.

I trade. Every tool I bought sold me the same thing: a signal, an alert, something that says buy this now. Nobody can reliably tell you which direction a stock will go — not me, not an AI, not the person selling you the alert. So I built the one I actually wanted: it tells you what happened and how much it mattered, and then gets out of the way.

What that means in practice:

Gamma exposure — where dealer positioning concentrates on the index, and the market's own implied range from options pricing. Live SPY gamma is public on the site, no account needed.

Short interest, FTDs, and insider Form 4s — with an as-of date on every figure, because this data is published on a delay, and pretending otherwise is a lie.

Unusual volume — each ticker against its own 30-day average. Sorted, not scored.

Analyst accuracy — not price targets, but how each firm's published targets actually landed.

A trade journal that knows the market — import from your broker, and every trade carries the conditions it was placed in. Then it reads your whole history back to you. Mine told me I give back most of my best unrealized move. That stung, and it's the most useful thing this product has ever told me.

20 feeds, 13 named providers, and every figure on screen carries where it came from and when it was true.

What it will never do: tell you to buy or sell, tell you where a price is going, or promise you'll be earlier than anyone else. There's a page on the site called "Why we don't sell trading signals." It's the most honest thing I've written, and it's probably bad marketing.

Free plan, no card. Basic opens with 30 days free, then 35% off for three months — nothing to type. On Pro and Elite, PRODUCTHUNT takes 50% off the first three months (monthly plans).

I'll be here all day. What I'd most like from this thread: tell me where the data or the reasoning is wrong. And if you keep a trading journal — what do you actually write in it? That's the piece I'm building next, and I'd rather build it from your answers than from my assumptions.

Market intelligence, not investment advice.

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About TradeAI News on Product Hunt

The structure behind the move — never the direction

TradeAI News was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #87 on the daily leaderboard. Gamma exposure, short interest and FTDs, insider Form 4s, analyst-accuracy backtests, and a trade journal that knows the conditions behind each trade. Every number traces to a named source, with the date it was true. Significance and magnitude — never direction. I audited my own marketing and deleted every figure that didn't trace, including one claiming "2M+ historical situations" when the real dataset is 7,931 events.

TradeAI News was featured in Fintech (47.4k followers), Investing (26.7k followers) and Artificial Intelligence (477.4k followers) on Product Hunt. Together, these topics include over 145k products, making this a competitive space to launch in.

Who hunted TradeAI News?

TradeAI News was hunted by Jesus Diez. 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.

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