USDR liquidity crisis costs a trader 131,350 stablecoins

USDR liquidity crisis costs a trader 131,350 stablecoins

By Charles Thuo - min read
  • USDR suffered a liquidity crisis, revealing its illiquid assets.
  • A trader lost everything swapping USDR for USDC during the crisis.
  • An MEV bot profited $107,002 from the arbitrage opportunity.

The Real USD (USDR) stablecoin recently found itself in the eye of a storm, revealing the pitfalls of the DeFi space.

A liquidity crunch on October 11 led to a trader swapping 131,350 USDR for 0 USDC, incurring a complete loss. Here’s what transpired:

The USDR liquidity crunch

USDR, a real-estate-backed US dollar stablecoin, faced a liquidity crisis when users requested over 10 million stablecoins in redemptions.

Although it was advertised as 100% backed, a shocking revelation emerged: less than 15% of its $45 million in assets were backed by liquid TNGBL tokens, with the majority relying on illiquid tokenized real-estate assets.

The illiquidity of these real-estate assets stemmed from their tokenization under the ERC-721 standard. This unique standard made it nearly impossible to fractionalize these assets, creating a liquidity conundrum for investor redemptions. Furthermore, the underlying real estate properties could not be swiftly sold to meet withdrawal requests. Consequently, the USDR treasury was incapable of honouring these redemptions, resulting in a crisis of confidence among investors.

The costly DEX swap

During the USDR liquidity crisis, a trader attempted to withdraw their USDR holdings by executing a swap on the BNB Chain via the decentralized exchange (DEX) OpenOcean. The catch was the severe depegging of USDR, which had plummeted nearly 50% from its par value due to the liquidity crunch.

In a disastrous turn of events, the trader received a grand total of 0 USDC in return for their 131,350 USDR. This meant a complete and crippling loss on their initial investment. In the volatile world of DeFi, where slippage rates on DEXs can reach up to 100% during periods of poor liquidity, such incidents serve as a stark reminder of the risks at play.

The story took an interesting twist as a maximal extractable value (MEV) bot swooped in to seize an arbitrage opportunity. Recognizing the substantial price discrepancy, this automated trading algorithm profited handsomely, netting a staggering $107,002 in gains through a well-timed arbitrage trade.