When it comes to the application of blockchain in the financial sector, privacy protection and compliance auditing often seem like two mutually exclusive tracks—completely anonymous solutions cannot pass regulatory scrutiny, while fully transparent public chains expose transaction details. However, a project called Hedger Privacy Engine has found a loophole: using granular data disclosure methods to allow financial institutions to hide sensitive information like transaction amounts while providing compliance certificates to regulators.
Early testing results were indeed impressive. In securities trading scenarios, this engine could process up to 15 transactions per second, with a compliance audit success rate of 100%—a performance that gained recognition among small and medium financial institutions in Europe, indicating the technical approach is sound.
But then, problems emerged. Stress testing in Q3 2025 revealed some concerns. When the system handled more than 50 complex financial transactions simultaneously, data validation started to hiccup, with three instances of delay, the longest being up to 8 seconds. For financial transactions, this is a critical flaw—users require confirmation within seconds, and an 8-second delay is unacceptable.
Two other issues are also significant. The new hardware has poor compatibility, consuming 23% more resources than industry average when deployed in mainstream server clusters, which directly translates to higher operational costs. Currently, the engine can only handle securities and stablecoins scenarios; more complex financial activities like derivatives and cross-border payments are still in testing, limiting the scope for scenario expansion.
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GasFeeTears
· 13h ago
8-second delay? Dude, you're just asking for trouble. Can you really afford to wait in financial trading?
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NFTArtisanHQ
· 14h ago
8-second delay? That’s a complete collapse in financial aesthetics...
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CryptoPunster
· 14h ago
Another story of "technically perfect but reality hits hard," it cracks me up.
An 8-second delay in financial trading is equivalent to a direct gg (game over). Isn't that just a high-end version of lag?
Hardware consumes 23% more resources than average. Who will pay for this cost? Investors?
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LiquidationKing
· 14h ago
8-second delay haha, this is a death sentence in financial trading. No matter how good the data looks, it's useless.
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ApeDegen
· 14h ago
8-second delay? Bro, that's death in trading, it's completely unusable.
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AirdropworkerZhang
· 14h ago
Oh no, an 8-second delay? Financial trading is all about every second, you just can't play around with that.
When it comes to the application of blockchain in the financial sector, privacy protection and compliance auditing often seem like two mutually exclusive tracks—completely anonymous solutions cannot pass regulatory scrutiny, while fully transparent public chains expose transaction details. However, a project called Hedger Privacy Engine has found a loophole: using granular data disclosure methods to allow financial institutions to hide sensitive information like transaction amounts while providing compliance certificates to regulators.
Early testing results were indeed impressive. In securities trading scenarios, this engine could process up to 15 transactions per second, with a compliance audit success rate of 100%—a performance that gained recognition among small and medium financial institutions in Europe, indicating the technical approach is sound.
But then, problems emerged. Stress testing in Q3 2025 revealed some concerns. When the system handled more than 50 complex financial transactions simultaneously, data validation started to hiccup, with three instances of delay, the longest being up to 8 seconds. For financial transactions, this is a critical flaw—users require confirmation within seconds, and an 8-second delay is unacceptable.
Two other issues are also significant. The new hardware has poor compatibility, consuming 23% more resources than industry average when deployed in mainstream server clusters, which directly translates to higher operational costs. Currently, the engine can only handle securities and stablecoins scenarios; more complex financial activities like derivatives and cross-border payments are still in testing, limiting the scope for scenario expansion.