Can AI Beat Human Traders? Inside the WEEX Amsterdam Crypto Trading Showdown
On February 11, from 16:00 to 20:00 (GMT+1), WEEX hosted the AI Hackathon Amsterdam Workshop, the third stop of our European tour following London and Paris. Despite the grey Amsterdam sky, the venue was packed with energy. Traders, developers, and crypto builders gathered to witness a real question being tested live: Can AI trading outperform professional human traders in real market conditions?
This workshop was more than a local meetup. It was a key milestone in the broader WEEX AI Hackathon global series, which has already attracted nearly 2,000 registrations, 200 qualified teams, and global attention across Europe’s fast-growing AI and crypto communities.
Amsterdam marked the moment where AI met reality — live, transparent, and under pressure.
AI Trading vs Human Crypto Traders: 3 Live Crypto Market Rounds That Tested Performance
Unlike the previous stops in London and Paris, the Amsterdam workshop introduced a brand-new competition format. The event featured two teams: one group executed trades fully manually, while the other relied entirely on AI-powered automated trading systems. Each team consisted of two participants, and they competed across three intense rounds to determine the final winner. The champions walked away with exclusive WEEX merchandise and special rewards, but more importantly, they earned recognition in front of a highly engaged trading community.
The lineup included well-known industry figures such as Elroy Ryon, a respected crypto trader and mentor; YD (@CryptoYDao), CEO of Y-DAO; and Chento, our old friend and Founder of @scalpxofficial. These were not casual participants — they are experienced market players with real performance records, bringing credibility and excitement to the competition.
Live AI Trading Battle: Execution Speed, Risk Control, and Real Market Performance
The highlight of the Amsterdam workshop was the live AI vs manual trading showdown, and the difference was clear almost instantly. Human traders needed time to read charts, confirm signals, and execute orders, while AI, connected through API, reacted in milliseconds with no hesitation and no emotion. With real-time PnL on display, the audience witnessed a powerful question unfold live: in a market where speed and consistency matter most, is human intuition enough — or is AI the true competitive edge?
During the player interviews, participants shared candid insights into their strategies and philosophies. Manual traders emphasized flexibility and the value of intuition built through years of market exposure. They argued that human judgment can adapt to unexpected macro events and sudden sentiment shifts. On the other hand, supporters of AI trading highlighted discipline and consistency. AI does not feel fear during drawdowns or greed during rallies. It follows predefined rules and data models without hesitation.
In the post-match interview, Elroy Ryon offered a balanced perspective. He acknowledged the clear advantages of AI in terms of execution speed and emotional control, but he also stressed that the future of trading is not about replacing humans. Instead, he described a collaborative model where AI handles precision and automation while human traders provide strategic oversight and macro-level thinking. The panel discussion further explored whether risk management can be fully automated and whether AI truly “understands” the market. The shared conclusion was that AI is rapidly becoming a core infrastructure layer in crypto trading, rather than just a temporary trend.
"AI won’t replace traders — it will empower them. The future belongs to those who combine machine precision with human strategy."
Crypto Rewards & Live Giveaways: 1,000 USDT Distributed During the AI Trading Event
During the WEEX Global AI Trading Hackathon Amsterdam Workshop livestream, excitement wasn’t limited to the trading floor — users at home could join in the action too. WEEX rolled out two rounds of Crypto Gift red packets, totaling 1,000 USDT, giving both new and existing users a chance to grab rewards in real time. In Round 1, new users could register a WEEX account, open the Crypto Gift feature, and claim their share of 500 USDT instantly on a first-come, first-served basis. Round 2 opened the opportunity to all users, allowing anyone logged in to grab another 500 USDT in rewards. The live event created a thrilling, interactive experience, combining the intensity of AI vs. human trading with the excitement of real-time giveaways, making the Amsterdam workshop not only an educational milestone but also a celebration for the entire WEEX community.
What This Means for AI Trading in Europe
The Amsterdam workshop also reinforced the broader strategic vision of the WEEX AI Hackathon. With a total prize pool exceeding $1.8 million and a Bentley Bentayga S awaiting the champion, the competition reflects WEEX’s long-term commitment to innovation in AI-powered trading. More importantly, it highlights WEEX’s mission to empower traders with advanced tools, deep liquidity, and high-performance infrastructure. The European tour continues with upcoming workshops on February 12 in Munich, Germany, and February 13 in Turkey. As demonstrated in Amsterdam, the future of crypto trading is faster, more data-driven, and increasingly powered by AI. Through the AI Hackathon series, WEEX is helping shape that future — together with the global trading community.
Watch the full recap below:
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About WEEX
Founded in 2018, WEEX has developed into a global crypto exchange with over 6.2 million users across more than 150 countries. The platform emphasizes security, liquidity, and usability, providing over 1,200 spot trading pairs and offering up to 400x leverage in crypto futures trading. In addition to traditional spot and derivatives markets, WEEX is expanding rapidly in the AI era — delivering real-time AI news, empowering users with AI trading tools, and exploring innovative trade-to-earn models that make intelligent trading more accessible to everyone. Its 1,000 BTC Protection Fund further strengthens asset safety and transparency, while features such as copy trading and advanced trading tools allow users to follow professional traders and experience a more efficient, intelligent trading journey.
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Before using Musk's "Western WeChat" X Chat, you need to understand these three questions
The X Chat will be available for download on the App Store this Friday. The media has already covered the feature list, including self-destructing messages, screenshot prevention, 481-person group chats, Grok integration, and registration without a phone number, positioning it as the "Western WeChat." However, there are three questions that have hardly been addressed in any reports.
There is a sentence on X's official help page that is still hanging there: "If malicious insiders or X itself cause encrypted conversations to be exposed through legal processes, both the sender and receiver will be completely unaware."
No. The difference lies in where the keys are stored.
In Signal's end-to-end encryption, the keys never leave your device. X, the court, or any external party does not hold your keys. Signal's servers have nothing to decrypt your messages; even if they were subpoenaed, they could only provide registration timestamps and last connection times, as evidenced by past subpoena records.
X Chat uses the Juicebox protocol. This solution divides the key into three parts, each stored on three servers operated by X. When recovering the key with a PIN code, the system retrieves these three shards from X's servers and recombines them. No matter how complex the PIN code is, X is the actual custodian of the key, not the user.
This is the technical background of the "help page sentence": because the key is on X's servers, X has the ability to respond to legal processes without the user's knowledge. Signal does not have this capability, not because of policy, but because it simply does not have the key.
The following illustration compares the security mechanisms of Signal, WhatsApp, Telegram, and X Chat along six dimensions. X Chat is the only one of the four where the platform holds the key and the only one without Forward Secrecy.
The significance of Forward Secrecy is that even if a key is compromised at a certain point in time, historical messages cannot be decrypted because each message has a unique key. Signal's Double Ratchet protocol automatically updates the key after each message, a mechanism lacking in X Chat.
After analyzing the X Chat architecture in June 2025, Johns Hopkins University cryptology professor Matthew Green commented, "If we judge XChat as an end-to-end encryption scheme, this seems like a pretty game-over type of vulnerability." He later added, "I would not trust this any more than I trust current unencrypted DMs."
From a September 2025 TechCrunch report to being live in April 2026, this architecture saw no changes.
In a February 9, 2026 tweet, Musk pledged to undergo rigorous security tests of X Chat before its launch on X Chat and to open source all the code.
As of the April 17 launch date, no independent third-party audit has been completed, there is no official code repository on GitHub, the App Store's privacy label reveals X Chat collects five or more categories of data including location, contact info, and search history, directly contradicting the marketing claim of "No Ads, No Trackers."
Not continuous monitoring, but a clear access point.
For every message on X Chat, users can long-press and select "Ask Grok." When this button is clicked, the message is delivered to Grok in plaintext, transitioning from encrypted to unencrypted at this stage.
This design is not a vulnerability but a feature. However, X Chat's privacy policy does not state whether this plaintext data will be used for Grok's model training or if Grok will store this conversation content. By actively clicking "Ask Grok," users are voluntarily removing the encryption protection of that message.
There is also a structural issue: How quickly will this button shift from an "optional feature" to a "default habit"? The higher the quality of Grok's replies, the more frequently users will rely on it, leading to an increase in the proportion of messages flowing out of encryption protection. The actual encryption strength of X Chat, in the long run, depends not only on the design of the Juicebox protocol but also on the frequency of user clicks on "Ask Grok."
X Chat's initial release only supports iOS, with the Android version simply stating "coming soon" without a timeline.
In the global smartphone market, Android holds about 73%, while iOS holds about 27% (IDC/Statista, 2025). Of WhatsApp's 3.14 billion monthly active users, 73% are on Android (according to Demand Sage). In India, WhatsApp covers 854 million users, with over 95% Android penetration. In Brazil, there are 148 million users, with 81% on Android, and in Indonesia, there are 112 million users, with 87% on Android.
WhatsApp's dominance in the global communication market is built on Android. Signal, with a monthly active user base of around 85 million, also relies mainly on privacy-conscious users in Android-dominant countries.
X Chat circumvented this battlefield, with two possible interpretations. One is technical debt; X Chat is built with Rust, and achieving cross-platform support is not easy, so prioritizing iOS may be an engineering constraint. The other is a strategic choice; with iOS holding a market share of nearly 55% in the U.S., X's core user base being in the U.S., prioritizing iOS means focusing on their core user base rather than engaging in direct competition with Android-dominated emerging markets and WhatsApp.
These two interpretations are not mutually exclusive, leading to the same result: X Chat's debut saw it willingly forfeit 73% of the global smartphone user base.
This matter has been described by some: X Chat, along with X Money and Grok, forms a trifecta creating a closed-loop data system parallel to the existing infrastructure, similar in concept to the WeChat ecosystem. This assessment is not new, but with X Chat's launch, it's worth revisiting the schematic.
X Chat generates communication metadata, including information on who is talking to whom, for how long, and how frequently. This data flows into X's identity system. Part of the message content goes through the Ask Grok feature and enters Grok's processing chain. Financial transactions are handled by X Money: external public testing was completed in March, opening to the public in April, enabling fiat peer-to-peer transfers via Visa Direct. A senior Fireblocks executive confirmed plans for cryptocurrency payments to go live by the end of the year, holding money transmitter licenses in over 40 U.S. states currently.
Every WeChat feature operates within China's regulatory framework. Musk's system operates within Western regulatory frameworks, but he also serves as the head of the Department of Government Efficiency (DOGE). This is not a WeChat replica; it is a reenactment of the same logic under different political conditions.
The difference is that WeChat has never explicitly claimed to be "end-to-end encrypted" on its main interface, whereas X Chat does. "End-to-end encryption" in user perception means that no one, not even the platform, can see your messages. X Chat's architectural design does not meet this user expectation, but it uses this term.
X Chat consolidates the three data lines of "who this person is, who they are talking to, and where their money comes from and goes to" in one company's hands.
The help page sentence has never been just technical instructions.

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