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Renato Mariotti

@renato_mariotti · Chicago, IL · joined 30 Jul 2016

Partner, @PaulHastings. Former federal prosecutor. CFTC regulation & enforcement, digital assets, prediction markets. Co-host, The Policy Protocol @CoinDesk.

204 534Followers
1 155Following
34 843Posts total
69.1KViews on collected posts

Postingan terbaru

The AI agent devises the strategy. The AI agent makes the trades. And you can't put an AI agent in prison. Prison changes behavior. A budgeted fine is a cost of doing business. When the trader has no mind, enforcement loses its sharpest tool. I call it accountability 7.1K views · 21 likes · 12 reposts · 0 replies Open on X →
Former Congressman George Santos traded a contract on whether George Santos would show up at the State of the Union. The CFTC just showed how it polices prediction market contracts that settle on the conduct of the people trading them. @RebeccaRettig1 and I discussed on https:/
0:59
6.8K views · 20 likes · 7 reposts · 0 replies Open on X →
Trade a Wisconsin election on a prediction market, and the state says you can’t vote in that election. @Kalshi says that’s unconstitutional. Wisconsin’s primary is August 11. @ARedbord and I break down what’s actually at stake on @CoinDesk’s The Policy Protocol: https://t.co/1
0:40
13.1K views · 17 likes · 6 reposts · 5 replies Open on X →
Criminal exposure doesn't disappear in an agentic trading world. It just gets much harder to prove. And that's the problem—prison changes behavior. A fine a company can budget for is just the cost of doing business. I call it accountability arbitrage. @RebeccaRettig1 and I h
0:40
17.7K views · 21 likes · 9 reposts · 5 replies Open on X →
@renato_mariotti Stablecoin issuers learned this in 2023. BUSD had $16B supply. One enforcement letter, gone in 90 days. Regulatory arbitrage is just a carry trade. Looks clean until the basis collapses. 2 views · 0 likes · 0 reposts · 0 replies Open on X →
If you build your business strategy around no-action relief, an innovation exemption, or staff guidance, you need to work to "future proof" your plan to endure regulatory volatility. If you don't, your strategy rests on a house of cards. A future administration could topple htt
0:58
24.4K views · 38 likes · 5 reposts · 20 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan10 124akun ini4 544median untuk 100K–1M
Jangkauan, %4.95%akun ini1.75%median untuk 100K–1M
Interaksi, %0.31%akun ini1.35%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan10 1244 5442.23×
Jangkauan (tayangan ÷ pengikut)4.95%1.75%2.83×
Tingkat interaksi0.31%1.35%0.23×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

24.4K30 May
2
17.7K7 Jul
13.1K31 Jul
6.8K4 Aug
7.1K31 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.26%30 May
0.00%
0.20%7 Jul
0.21%31 Jul
0.40%4 Aug
0.46%31 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.

What the audience does

Likes57.9%117 in total
Reposts19.3%39 in total
Replies14.9%30 in total
Quotes0.5%1 in total
Bookmarks7.4%15 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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