On August 20, 2024, a wallet directly linked to the August 2023 Nomad Bridge exploit spent 38.5 million DAI to acquire 18,273 ETH at an average price of $2,109. The transaction, first flagged by on-chain analyst Yu Jin, is not a routine market move. It is a 9-month hindsight trade that locked a 36% dollar profit while simultaneously increasing the hacker's ETH holdings by 6.7% — a rare combination in the world of illicit fund management.
This is not a story about a genius trader. This is a forensic reconstruction of how a hostile actor used a sanctioned privacy mixer, a two-step market exit, and a patient re-entry to transform a risky asset position into a safer one. The data reveals a deliberate, calculated strategy — one that challenges the common narrative that hackers are merely panic sellers.
Context: The On-Chain Trail from Tornado Cash to the Order Book
The address in question first appeared on the radar in August 2023, when it was identified as part of the Nomad Bridge exploit aftermath. At that time, the wallet held 17,124 ETH, presumably from the stolen funds. According to Nansen labeling data, the hacker then routed those ETH through Tornado Cash — a privacy mixer sanctioned by the U.S. Treasury's OFAC in 2022. From the mixer, the ETH was deposited into a series of intermediary addresses, and eventually sold for 56.66 million DAI (and its successor stablecoin USDS) at an average price of $3,308 per ETH.
Fast forward nine months. The same wallet, now holding 56.66 million in stablecoins, began a series of buy orders on decentralized exchanges (primarily Uniswap V3 and Curve) and possibly a centralized exchange (the data does not specify, but the lack of large slippage suggests a split order flow). Over five hours on August 20, the hacker spent 38.54 million DAI to repurchase 18,273 ETH at an average price of $2,109. The remaining 18.12 million DAI stayed in the wallet.
Core: The On-Chain Evidence Chain — Profit, Risk, and the Hidden Strategy
Let me walk through the numbers with the same rigor I applied during the 2020 Uniswap V2 liquidity mapping project. The underlying math is straightforward, but the implications are not.
- Dollar-denominated profit: The hacker sold 17,124 ETH for $56.66M. Then spent $38.54M to buy back 18,273 ETH. Net cash remaining: $18.12M. The ETH position increased by 1,149 ETH (6.7%). At the current market price of $2,109, that additional ETH is worth $2.42M. Total net gain in dollar terms: $18.12M + $2.42M = $20.54M. That is a 36% return on the original $56.66M stablecoin base — but only if the ETH is sold at today's price.
- ETH-denominated profit: The hacker now holds 18,273 ETH, compared to the original 17,124 ETH. That is a net gain of 1,149 ETH. Data does not lie; it only reveals hidden patterns. The pattern here is that the hacker not only preserved the dollar value but also accumulated more of the underlying asset. This is not a typical panic move. This is a strategic rebalancing.
- Risk exposure: The hacker's current portfolio is 18,273 ETH + $18.12M stablecoins. The ETH exposure is roughly 68% of the total portfolio (if ETH is $2,109). If ETH drops to $1,500, the portfolio value falls to $27.4M + $18.12M = $45.5M, which is still above the original $56.66M? Wait, that's a loss of $11.2M from the peak. But the hacker still has the stablecoin buffer. The key risk is not the price drop — it is the regulatory trap.
- The Tornado Cash problem: The source of the original ETH was Tornado Cash. Any entity that interacts with a Tornado Cash-linked address — including a decentralized exchange like Uniswap — is technically exposing itself to OFAC sanctions risk. However, the hacker did not use a centralized exchange for the buy; if they did, the exchange would have flagged the address. The use of DEX and a multi-hour order flow suggests the hacker avoided KYC. But the stablecoins (DAI/USDS) are issued by MakerDAO and Sky, which are US-based entities. If the hacker ever tries to move those stablecoins to a centralized exchange, the freeze risk is high.
Contrarian: Correlation ≠ Causation — This Is Not a Genius Trade, It's a Forced Exit
The common interpretation of this transaction is that the hacker is a sophisticated trader who timed the market perfectly. I reject that narrative. The data does not support the 'smart money' label.
First, the sale at $3,308 was not a top-tick exit. It occurred in August 2023, when ETH was already in a downtrend from the April 2023 highs of $2,100. Actually, $3,308 was near the local top of that year — but the hacker did not sell at the absolute peak of $4,800 in 2021. The timing was opportunistic, not prescient.
Second, the buy at $2,109 is not a bottom. ETH had already rebounded from the $1,500 lows in June 2024. The hacker bought in a recovery, not a capitulation. This is a classic 'sell high, buy high' pattern — just with a 36% gain because the sell was higher than the buy. The real skill was not market timing but patience. The hacker waited nine months, avoiding the worst of the 2024 correction.
Third, and most importantly, this is a liquidation of illicit funds, not a discretionary trade. The hacker had to convert ETH to stablecoins to avoid the risk of further price decline after the exploit. The subsequent buyback is a signal that the hacker believes ETH is undervalued at current levels — but that belief is secondary to the primary goal: obfuscation and eventual exit. The remaining $18.12M in stablecoins is the true 'profit' — the ETH position is still hostage to the market.
Takeaway: The Next Signal to Watch
Based on my experience tracing the 2022 LUNA collapse and the 2024 Bitcoin ETF flows, I can say that this wallet will not remain dormant. The hacker will either move the ETH to a new address and repeat the Tornado Cash cycle, or attempt to cash out through a compliant exchange. The latter is a high-risk move: any exchange that uses Chainalysis will flag the address. The former is more likely.
The key metric to monitor is the hacker's interaction with any CEX deposit address. If that happens, expect a freeze within 24 hours. If not, the cycle of privacy and obfuscation continues.
For analysts, this case is a textbook example of how exploiters manage their proceeds. It reinforces the need to track 'dormant' wallets — they often re-emerge during price dislocations. The data does not lie; it only reveals hidden patterns. The pattern here is that even criminals are subject to the same market forces as retail traders. They just have more patience and a stronger incentive to use privacy tools.
Final thought: The real question is not whether the hacker made a profit. The question is whether they can ever spend it. Data does not lie; it only reveals hidden patterns. The pattern of regulatory opacity is the only certainty.