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Here are the top 5 crypto cards by the spending volume which is the most relevant one
Redotpay dominates by far, the top 10 aside from them don't have their volume combined.
EtherFi on 2nd place with Kast following them, Karta 4th and Tria 5th.
You almost see no X presence from Redotpay, EtherFi and Kast yet they are in the top 5 most used cards.
Sadly aside from Redotpay none of them focuses outside of CT, there are many markets that a crypto card would fit good.

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this guy right here coreyisonit
corey your getting a thousand dollars
@banks @blknoiz06 @MarketBubble
ily <3 ty sm <3
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Every bubble in history had overvalued stocks.
This one has overvalued stocks AND overvalued earnings.
In 1929 and 2000, the CAPE ratio was stretched, but earnings were normal.
Today, earnings are 1.8 standard deviations above trend on top of a near-record CAPE of 41x.
Adjust for the earnings bubble, and the true CAPE is 67.6x.
That's a 4.6 standard deviation event!
To put how crazy that is into context: If markets were normally distributed, this would happen once every 43,000 years.

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@Ganwani @PamelaBies Maybe because Evian is right next to Switzerland as well ?
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@PamelaBies VAT. Switzerland 8.1%. UK 20%. Also geography, transport costs plus post Brexit trade bureaucracy. Honestly, I am surprised the difference is not 50%.
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@greg5figs5inch @0xMerp Jesus just buy what you wanna drive why do you care about other people opinion
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@0xMerp If you are actually going to drive it and don't want to look like a 22 year old who got rich from dropshipping, you would get a Carrera (ideally 3.8L), Turbo or even GT3 Touring instead
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A TEAM OF AI RESEARCHERS JUST OPEN-SOURCED THE BLOOMBERG TERMINAL FOR QUANT FINANCE.
A Bloomberg Terminal costs $25,000 per year per seat. Banks pay for thousands of them.
This thing reads every quant paper, every financial blog, every SEC filing, every arXiv preprint, and turns it into a searchable knowledge base. For free.
It's called QuantMind.
It just got accepted to the NeurIPS 2025 GenAI in Finance Workshop.
Here's what it actually does:
→ Ingests arXiv quant papers, financial news, blogs, and reports automatically
→ Parses PDFs, HTML, tables, and figures into structured knowledge
→ Tags every paper by research area and topic
→ Builds a semantic knowledge graph you can query in plain English
→ Plugs into DeepResearch, RAG, and MCP for multi-hop reasoning
→ Two-stage architecture: extract once, retrieve forever
Here's the wildest part:
The financial research industry publishes around 500 new papers and reports every single day.
Hedge funds pay six-figure salaries to junior analysts whose entire job is reading them.
QuantMind reads all of it. Tags it. Embeds it. Lets you ask it questions.
154 stars. 22 forks. 173 commits. MIT license. Python.
One honest note: this is a framework, not a magic alpha machine. You still need to know what to ask. But the "I haven't read that paper yet" excuse is officially dead.
The thing Wall Street charges $25,000 a year for is sitting on GitHub. Free.
Link in the comments.

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