标签：#Kalshi

If only someone could have predicted it.

I kept hearing about Kalshi. The commercials, the mentions, and then one morning CNN was talking about Kalshi prediction odds like they were a weather report. So I went and looked. And I had no idea what I was seeing. Kalshi is really hard to understand when you're new to it. You get markets, contracts, prices that are also probabilities, volume, movement, and none of it tells you what's actually worth paying attention to. I wanted something that would translate what I was looking at into something I could understand and, ideally, act on. That was the whole original goal: make the firehose legible. Then, of course, I kept adding to it, because once you can read the flow you start wanting an edge in it. Who doesn't. So Trade Hunter grew from a translation layer into a translation layer with detection on top. This is a writeup of what it became, why I made the design choices I made, and the parts I'm still not sure about. I'd rather you poke holes in it now than find the breakpoints the hard way. If you think a decision here is wrong, please let me know. The comments are the point of this post, not an afterthought. Where this came from Basically, I couldn't read Kalshi, and I wanted to. Trade Hunter is the original tool I built to fix that for myself, and it's the one I still run when I want a live view. So this isn't a polished sequel to anything. It's the thing I built because I wanted it to exist, flaws and design bets included, and I'd rather show you those directly. The core idea never changed even as I piled features on: watch live Kalshi WebSocket feeds and surface an unusual move while it's still moving, rather than reading about it after the fact, or on CNN the next morning. What it actually does Trade Hunter subscribes to live Kalshi feeds across every market you track. Multi-contract series like the Fed rate decisions or who will win Top Chef fan out automatically to all open contracts, so you point it at one thing and it watches the whole family. When some

One of Kalshi’s most prominent traders tells WIRED he’s swearing off Spotify-related markets until the issue is resolved.

Illinois now a key battleground in fight over prediction market sports bets.

The app would be independent of Meta's other social media offerings, although sources told the NYT that those social sites could direct users to engagement with the app.

Getting the future right is now big business. But at a festival in Berkeley, forecasters worry that sports markets could take the whole industry down.

Social media posts questioning the integrity of LA’s mayoral election were labeled “paid partnerships.” Then Kalshi and Polymarket told creators to delete them.