EECS researchers uncover the hidden patterns behind a $3.5 billion cryptocurrency collapse

Using advanced mathematical techniques and cutting-edge software, the team has identified suspicious trading patterns that suggest a coordinated attack on the ecosystem, leading to a catastrophic loss of $3.5 billion in value virtually overnight. 

The study, led by Dr Richard Clegg and his team, employs temporal multilayer graph analysis — a sophisticated method for examining complex, interconnected systems over time. This approach allowed the researchers to map the relationships between different cryptocurrencies traded on the Ethereum blockchain, revealing how the TerraUSD stablecoin was destabilised by a series of deliberate, large-scale trades. 

Stablecoins like TerraUSD are designed to maintain a steady value, typically pegged to a fiat currency like the US dollar. However, in May 2022, TerraUSD and its sister currency, LUNA, experienced a catastrophic collapse. Dr Clegg’s research sheds light on how this happened, uncovering evidence of a coordinated attack by traders who were betting against the system, a practice known as "shorting." 

“What we found was extraordinary,” says Dr Clegg. “On the days leading up to the collapse, we observed highly unnatural trading patterns. Instead of the usual spread of transactions across hundreds of traders, we saw a handful of individuals controlling almost the entire market. These patterns are the smoking gun evidencing of a deliberate attempt to destabilise the system.” 

The team’s analysis revealed that on key dates, just five or six traders accounted for nearly all the trading activity, with each controlling almost exactly the same share of the market. This level of coordination is virtually impossible by chance in a normal trading environment and strongly suggests that these individuals were working together to trigger the collapse. 

The research not only provides insights into the TerraUSD collapse but also introduces a powerful new tool for analysing cryptocurrency markets. The team’s software, developed in collaboration with Pometry a spin-out company from Queen Mary University, uses graph network analysis to visualise and interpret complex trading data. This tool could prove invaluable for regulators, investors, and researchers seeking to understand and mitigate risks in the volatile world of cryptocurrency. 

“Cryptocurrencies are often seen as the Wild West of finance, with little oversight and even less accountability,” says Dr Clegg. “Our work shows that by applying rigorous mathematical techniques, we can uncover the hidden patterns and behaviours that drive these markets. This isn’t just about understanding what went wrong in the past — it’s about building a safer, more transparent financial system for the future.” 

The implications of this research extend far beyond the world of cryptocurrency. The methods developed by Dr Clegg and his team could be applied to a wide range of complex systems, from financial markets to social networks. For regulatory agencies, this work offers a new way to monitor and safeguard against systemic risks, protecting both individual investors and the broader economy. 

Read the research article for more information.