Share this article

Crypto Bank Silvergate Bucks Market Rally as FTX Exposure Is Questioned

Silvergate shares were down about 7% while other crypto-linked stocks rallied Tuesday.

Updated May 9, 2023, 4:02 a.m. Published Nov 15, 2022, 6:09 p.m.
Silvergate Bank HQ (Will Foxley/CoinDesk)
Silvergate Bank HQ (Will Foxley/CoinDesk)

Shares of crypto-focused bank Silvergate Capital (SI) were down about 7% Tuesday despite the broader rally in crypto-linked stocks and the overall market.

Other crypto stocks including Coinbase (COIN), MicroStrategy (MSTR) and Marathon Digital (MAR) are all gaining while the Nasdaq Composite is up over 2%.

STORY CONTINUES BELOW
Don't miss another story.Subscribe to the Crypto Daybook Americas Newsletter today. See all newsletters

Late Friday, the market reacted positively to Silvergate’s update on its exposure to FTX, though that momentum has faded. Silvergate told investors Friday that FTX's deposits with Silvergate represent less than 10% of the $11.9 billion in total deposits from all digital asset customers.

However, an early and strong skeptic of all things SBF, Marc Cohodes told Hedgeye on Tuesday that he's shorting Silivergate, noting that FTX making up such a large portion of Silvergate's deposit base is a big red flag.

Silvergate wasn't available to comment on the story.

Meanwhile, Signature Bank (SBNY) said early Tuesday that its deposit relationship with FTX and their related companies is under 0.1% of the bank’s overall deposits as of Nov. 14. Its shares rose over 10%.

Read more: Crypto Bank Silvergate Capital Surges on Lack of FTX Exposure

More For You

Specialized AI detects 92% of real-world DeFi exploits

hackers (Modified by CoinDesk)

New research claims specialized AI dramatically outperforms general-purpose models at detecting exploited DeFi vulnerabilities.

What to know:

  • A purpose-built AI security agent detected vulnerabilities in 92% of 90 exploited DeFi contracts ($96.8 million in exploit value), compared with 34% and $7.5 million for a baseline GPT-5.1-based coding agent running on the same underlying model.
  • The gap came from domain-specific security methodology layered on top of the model, not differences in core AI capability, according to the report.
  • The findings come as prior research from Anthropic and OpenAI shows AI agents can execute end-to-end smart contract exploits at low cost, accelerating concerns that offensive AI capabilities are scaling faster than defensive adoption.