New players enter multi-chain aggregated trading, VERTEXS.AI aims to reshape the trading experience with AI and risk control

2026-01-11 14:00:10

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【Crypto World】The blockchain aggregation trading platform sector has recently gained new momentum. A technical team from North America and Europe has jointly launched VERTEXS.AI, claiming to innovate in multi-chain trading aggregation, data-driven systems, and intelligent trading.

This team is quite large, with over 120 members mainly focusing on three areas: multi-chain asset trading, AI quantitative strategies, and intelligent copy trading. According to official information, the platform will integrate risk control modules primarily to improve efficiency in cross-chain transactions and make the user experience less complicated.

From a technical perspective, VERTEXS.AI has already deployed millisecond-level market data and information transmission capabilities — a logic that is very popular in high-frequency trading scenarios. The platform also introduces multiple risk control and circuit breaker mechanisms with a clear purpose: to prevent things from getting out of control during extreme market volatility.

Looking at their timeline, they plan to launch an aggregation trading terminal and AI engine system by 2026. Beyond that, they have bigger ambitions — to promote compliance and expand globally in the medium to long term. The competition in aggregation trading platforms is no longer just about speed; it’s about whether AI and data integration can provide better cross-chain trading solutions.

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PaperHandSister

· 01-11 14:26

Another AI+aggregated trading project, sounds pretty good, but I'm just worried it's another PPT project... Millisecond-level market data transmission? That's old news, it's been everywhere for a long time. A team of 120 people, is that reliable? Or did they raise a lot of money just for a name? Risk control is quite strict, but can it really withstand black swan events? Launching in 2026? Why so slow, the crypto world has already cooled down. Once again, with North American and European backgrounds, when will there be real data? Smart copy trading? Uh... this thing always feels a bit mysterious...

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LayerZeroEnjoyer

· 01-11 14:19

Another new AI quant project, this time with an international team of 120 members—sounds like quite a large team... But I've heard the claim of millisecond-level transmission too many times already, haha. I'm really worried about copy trading; I've seen too many retail investors follow "experts" and get caught. If risk control can really be implemented well, that would be great. I'm just afraid it's another promise on paper. Let's wait until 2026 for the launch. Anyway, there are plenty of air projects too.

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SatoshiNotNakamoto

· 01-11 14:17

Another new AI quant project, claiming millisecond-level transmission is amazing, but it won't launch until 2026, and the wait has cooled the enthusiasm. A team of 120 people sounds impressive, but how many are actually doing the work? The circuit breaker mechanism is good, but I'm worried it might just be a PPT risk control, and in practice, it could still blow up. The copy trading system is the key; whether it can truly replicate large traders' operations depends on future performance. Multi-chain aggregation has great potential, but with such fierce competition in this space, what makes it stand out?

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ForkMonger

· 01-11 14:16

nah another "ai-powered" aggregator flexing millisecond latency... cool story but where's the actual governance architecture? 120 devs yet nobody asking who controls the protocol parameters when things go sideways? this is exactly the vulnerability vector everyone sleeps on tbh

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OnlyOnMainnet

· 01-11 14:07

Another new AI quant star, this time from a European and American team... A team of 120 people sounds impressive, but how many can actually survive? Millisecond-level market data is no longer new; the key is whether the risk control is reliable. Many platforms have failed before because of this. Launching only in 2026? That timeline seems a bit uncertain.

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