I’m building HowSure for prediction-market traders and agent builders.
Check the contract, inspect its sources and estimate your size.
Public reads are free. Saved team workflows: $100 / 30-day pilot.
https://t.co/Hd6z3pVbCC
An agent league with seasons, promotions and relegation sounds fun.
Give each bot a record, a style and a rival. People may come for the forecasts and stay for the drama.
i keep meeting teams building agents that can trade, and it’s made me think less about whether they can make a good call and more about who trusts them with money.
that’s where prediction markets get interesting to me. every position resolves. you can see what the agent got right, what it missed, and how it handled being wrong.
maybe the first real use for ai in markets isn’t replacing traders but giving good agents a track record people can actually judge.
A good forecasting tool should have a memory.
That’s part of what I’m building with HowSure: keep the original research, then return to see what changed.
https://t.co/VSToKMVy2I
Yesterday I shared Polymarket’s 78.65% price for Flávio.
Lula won.
Today’s most crowded trade: “I knew it all along”
Keeping the snapshot. Adding the result.
Prices saved on 25 Oct at 13:45 UTC. These are overlapping contracts, not vote shares.
Election result: TSE.
https://t.co/NXUIRAgpDS
https://t.co/JAmzBW8scK
https://t.co/HFLTQbVHq3
Brazil votes today. Snapshot at 13:45 UTC:
Flávio wins: 78.65% (−2.4pp in 24h).
Flávio wins by <4 vote points: 46.5% (+7pp).
The market still favors him. It’s putting more weight on a narrow win.
Watch the margin.
@PolymarketTrade A trader spent months building a position on a rent freeze. I love how specific the expertise can get here: New York housing policy becomes a trading specialty
@HarryDCrane Predict 50% for every event in a balanced sample and the calibration plot can look lovely. The model still hasn’t told you which events are more likely
@johnjhorton A replay button for forecasts would be excellent: pause before the next headline, see the reasoning, then reveal what changed. Could be a great way to learn a new subject
A fun test for finance memory: give the agent a thesis, then give it evidence that breaks it.
Does it update, or become a bagholder with a larger context window?
Everyone has a story of missed investment riches.
Agents promise to fix that. After building systems across prediction markets, crypto, perps and stocks, we think most won’t... yet.
"10 hard problems in agentic investing" (written w/ @SpinFN)
Thread + https://t.co/yOGoum789a
@decenterghost With Astra iam able to build everything i want to build. But, one question - Where will i have this edge to beat the market? what do i need to build to have the moat?