Assertion Supported AI assessment confidence: 95% certainty 4/5 debate potential 1/5

Lopes Lara: Kalshi submits every trade and investigation to the CFTC

Luana Lopes Lara · Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara · Mar 17, 2026 · at 51:08

Luana Lopes Lara, co-founder of Kalshi, describes the surveillance pipeline and regulatory reporting shared between Kalshi and the CFTC.

0:00 / 0:06exact quote · 6.2s
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“Like every single trade on Kaoshi goes to the CFTC, they have every single thing, every single case goes to the CFTC for them to review.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

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Opinion
Lopes Lara: 2024 election showed prediction markets outperform traditional polling
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Luana Lopes Lara Mar 17, 2026 ▶ 13:05 Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara
Assertion Not checkable as stated
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Luana Lopes Lara Mar 17, 2026 ▶ 27:35 Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara
Disclosure
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“To be clear, we don't limit any winners.”
Luana Lopes Lara Mar 17, 2026 ▶ 35:17 Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara
Prediction Not checkable as stated
Lopes Lara: Prediction markets will improve polling accuracy, not destroy it
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Luana Lopes Lara Mar 17, 2026 ▶ 46:32 Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara
Disclosure
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Luana Lopes Lara Mar 17, 2026 ▶ 1:02:23 Creating prediction markets (and suing the CFTC) with Tarek Mansour and Luana Lopes Lara
Insight
Lopes Lara: Fintech and healthcare startups cannot operate by asking forgiveness
“I think that the approach we took from the start was that financial services or healthcare, I think you can't ask for forgiveness. I think there's a big difference between losing people's money, see what goes wrong, like an FTX example that can go very wrong w…”
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