The data is cold. It does not care about jurisdiction, legal strategy, or the reputation of the people involved. It shows 47 accounts, 45 individuals, and a cumulative illicit profit of $155 million. The narrative of a sophisticated cross-border insider trading ring fades; the account numbers and transaction timestamps remain.
I do not predict the future; I audit the present. And what I see in the recently revealed details of the Futu Tiger options case is a textbook example of how traditional finance (TradFi) remains a black box — one that on-chain data could have illuminated in minutes, not months.
Context: The Case and the Data Gap
In August 2025, Caixin reported on a civil lawsuit in the United States. A group of market makers (the plaintiffs) had used subpoenas to force brokerages — notably Futu and Tiger Brokers — to produce trading data. The goal: identify the individuals behind a series of suspicious options trades that preceded major corporate announcements. The result: 47 accounts linked to 45 people, mostly based in China and Hong Kong, accused of insider trading. The alleged profit: $155 million.
The plaintiffs did not have access to a blockchain. They did not have a public ledger. They had to rely on the legal process — a slow, expensive, and jurisdiction-bound mechanism — to extract data from centralized entities.
This is the world that TradFi still inhabits. A world where the chain of custody for evidence is a legal affidavit, not a cryptographic hash. A world where proving a simple linkage between accounts requires months of litigation and millions in legal fees.
From my experience auditing ICOs in 2017, I learned that code, not whitepapers, dictates reality. Here, the reality is that the data existed — inside the brokerages' databases — but it was not accessible without a fight. The narrative of the "sophisticated ring" was built on the opacity of those databases.
Core: The On-Chain Evidence Chain That Wasn't
Let me reconstruct what the plaintiffs did, because it mirrors the work I do daily on-chain, but with a layer of friction that a blockchain eliminates.
First, they identified the suspicious trades: out-of-the-money call options purchased shortly before earnings announcements, with high volume and leverage. They then subpoenaed the brokerages for the account holders' identities. The brokerages, bound by KYC/AML obligations, complied — but only after legal pressure.
From the data, the plaintiffs discovered patterns: one person controlled three accounts. Multiple accounts shared IP addresses, funding sources, or withdrawal addresses. The accounts were distributed across multiple brokerages, presumably to avoid detection. The total profit aggregated to $155 million.
In a blockchain world, this entire process would be a single query. Every trade is a transaction. Every account is an address. Every movement of funds is recorded immutably. The linkage between addresses — if they ever interact with a common exchange deposit — is obvious. The timing of trades relative to news events is a simple timestamp comparison.
But here, the evidence was not on a public ledger. It was inside private databases. The plaintiffs had to rely on the legal system to open those databases. And even then, they could only see the data that the brokerages chose to provide.
This is a fundamental flaw in the TradFi infrastructure. The data is not just siloed; it is also mutable. A brokerage could, in theory, alter records before producing them. The plaintiffs have no way to verify the integrity of the data they received — unless they have independent sources.
In my 2020 DeFi liquidity forensics work, I built Python scripts to analyze 50,000+ swap events on Uniswap. The data was raw, public, and immutable. I did not need to trust anyone. I could verify every claim by pulling the transaction hash and checking the block.
Patience reveals the pattern that haste obscures. In this case, the pattern was obscured by the very structure of TradFi settlement. The trades were executed on US options exchanges, but the settlement and custody were managed by private entities. The pattern was there, but it took months of legal work to see it.
Contrarian: Correlation is Not Causation — Even With Data
Now, let me be the contrarian that my ISTJ nature demands. The data from the brokerages is strong evidence, but it is not proof of insider trading.
The plaintiffs have identified 47 accounts that profited from options trades before announcements. That is a correlation. But correlation does not equal causation. The traders could have been lucky. They could have been using a public signal — like a technical pattern — that happened to coincide with the news.
The legal system will require proof of intent: that the traders had access to material non-public information. The data alone cannot prove that. It can only prove that the trades were profitable and timely.
This is a blind spot that even on-chain data cannot fully address. On a blockchain, we can see the movement of funds, but we cannot see the mind of the trader. A smart contract can execute a trade based on a price feed, but we cannot know if the feed was manipulated by an insider.
However, the on-chain approach does something that TradFi cannot: it provides a transparent and verifiable chain of events. If the same addresses that funded the options accounts also received funds from an insider — say, a corporate executive's wallet — then the evidence chain becomes much stronger.
In this case, the plaintiffs do not have that. They have IP addresses and bank account links, which are vulnerable to denial. "My cousin used my computer" is a common defense.
The narrative fades; the wallet addresses remain. But here, the wallet addresses are in private databases, not on a public ledger. The defense can argue that the data was tampered with, or that the IP addresses were spoofed.
This is the fundamental weakness of TradFi enforcement: it relies on trust in centralized data custodians. The blockchain removes that trust requirement. It is not a panacea — it still requires analysis — but it eliminates the "data integrity" defense.
Takeaway: The Next Signal in the Silence
This case is a loud signal for the market. It shows that the US legal system is willing to use data-driven enforcement against cross-border insider trading. But it also shows the inefficiency of the current system.
The 47 accounts took months to identify. The legal process will take years. The defendants will likely settle or be extradited — but the cost to the plaintiffs is enormous.
What does this mean for the next 12 months? I see three trends:
- Regulatory push for on-chain settlement: Options exchanges will face pressure to move settlement to a blockchain. The CFTC has already approved blockchain-based settlement for futures. Options are next. The transparency of an on-chain ledger would make investigations like this instant.
- Brokerage data sharing becomes a compliance battle: The US will demand that brokerages share data across borders. The brokerages, facing Chinese data sovereignty laws, will be caught in the middle.
- Privacy coins and mixers will see increased scrutiny: If the defendants had used privacy tools, the plaintiffs might never have found them. This will accelerate the regulatory crackdown on privacy-enhancing technologies.
I do not predict the future; I audit the present. The present shows a system that is broken. The data is there, but it is locked in silos. The blockchain offers a way out. But it will take a major scandal — perhaps this one — to push the industry to adopt it.
Silence in the ledger speaks volumes. The silence here is the absence of on-chain data. The noise is the legal battle over access to private databases. The signal is clear: TradFi needs to learn from the blockchain, not just adopt its terminology.
The wallet addresses remain. But they are not on the blockchain. They are in a subpoena. And that is the problem.
