WEEX Launches Global AI Trading Hackathon With $880,000 Prize Pool Including a Bentley for Champion, Registration Gaining Strong Momentum

TheNewsCryptoPublished on 2025-12-17Last updated on 2025-12-17

Abstract

WEEX Labs, an affiliate of crypto exchange WEEX, has launched the global AI trading hackathon "AI Wars: WEEX Alpha Awakens" with a total prize pool of $880,000. The champion will receive a Bentley Bentayga S. Over 300 participants and 50 teams have already registered. The competition includes pre-registration until December 30, followed by an online Pre-Season and live Finals in Dubai in February. Participants will engage in AI-driven trading challenges using real capital. The event is supported by partners including Alibaba Cloud and DoraHacks, emphasizing innovation in AI-powered crypto trading.

WEEX Labs, an affiliate of WEEX, a leading crypto exchange serving more than 6.2 million users across 130+ countries, has officially launched its global AI trading hackathon, AI Wars: WEEX Alpha Awakens. Featuring a total prize pool of $880,000 — including a Bentley Bentayga S awarded to the champion — the competition has already seen strong early registration, with over 300 participants signed up and more than 50 teams preparing to compete at the time of writing, underscoring the growing momentum behind AI-driven crypto trading.

The arena is open — step in and prove your intelligence where it matters!

Unprecedented Rewards: $880,000 at Stake with Bentley for Champion

What sets AI Wars: WEEX Alpha Awakens apart is its unprecedented reward structure. With a total prize pool of $880,000, this event stands as one of the most lucrative AI trading competitions ever launched in the crypto industry. The champion will take home a Bentley Bentayga S, a performance machine valued at approximately half a million dollars, symbolizing precision and control — the very qualities winning teams must demonstrate in live markets. Additional token rewards and sponsor prizes ensure that high-performing teams across multiple categories are recognized, including those that deliver exceptional strategy design, innovative modeling approaches, or outstanding community resonance.

Ultimate glory belongs to the smartest mind!

Unmatched Alliances: A Global Partnership Network for Unprecedented Influence

WEEX Labs has formed a strong network of partners for this unprecedented global AI trading hackaton, including sponsorship from Alibaba Cloud and an official partnership with DoraHacks. The event is further supported by a diverse ecosystem of AI and cloud technology collaborators such as ImagineArt, ForU AI, BitDoctor.ai, OptimAI, CLS (MM), AWS, and Cryptocopy. Media coverage is provided by leading industry outlets BlockTempo and MPost, strengthening the event’s reach across the Web3 community. Together, these partners provide vital technical resources, ecosystem connectivity, and global visibility—ensuring that AI Wars becomes a truly world-class competition that empowers innovators and accelerates breakthroughs in AI-driven trading.

AI Wars: WEEX Alpha Awakens — The Ultimate Global AI Trading Showdown

AI Wars: WEEX Alpha Awakens launches a high-stakes journey for the world’s most ambitious AI builders, beginning with pre-registration now through December 30, followed by a 20-day online Pre-Season in early January, and culminating in the 17-day Finals in Dubai in late February. Leading up to the Finals, live workshops across major cities in Europe, the Middle East, and the CIS region will bring together top AI researchers, quant teams, and algorithmic traders to share insights, sharpen strategies, and showcase their strengths before entering the real battle.

Throughout the competition, teams can climb the leaderboard through fast-paced side challenges, including Human-vs-AI flash duels, extreme leverage survival tests, and precision strategy sniper missions — each designed to push creativity, risk management, and algorithmic skill to the limit. Everything climaxes at the Live Finals, where each of the finalists trade with 10,000 USDT real capital amid real market volatility in front of a global audience, where every decision counts, every drawdown matters, and only the sharpest, smartest, and most resilient teams will rise to claim their place among the world’s AI trading alphas.

Powered by AI. Win with WEEX. WEEX Alpha Awakens!

AI Wars: WEEX Alpha Awakens is more than a competition — it is a global stage where innovation, strategy, and algorithmic mastery converge. From pre-registration to the live Finals in Dubai, participants will navigate real market volatility, tackle extreme challenges, and showcase their AI trading prowess for unprecedented rewards. With $880,000 in prizes, $WXT incentives, a Bentley Bentayga S for the champion, and the backing of industry-leading partners, this event reinforces WEEX’s strategic vision to lead in AI-driven trading, expand its global influence, and cultivate a cutting-edge community of innovators. The arena is open — WEEX calls on ambitious teams worldwide to join, compete, and shape the next era of AI-powered crypto trading.

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.

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

TagsPress ReleaseWEEX

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE

Related Reads

The Impossible Trilemma Is Basically a Pseudo-Problem

The article argues that the core limitation of blockchain technology is not the scalability trilemma, but its fundamental lack of privacy, which acts as a barrier to institutional capital. It defines blockchain as a slow, expensive, shared computer whose primary value is "permissionlessness" (no administrator) and verifiable trust. While this is ideal for native financial assets like stable币, which now process trillions, two critical flaws remain for mainstream adoption: regulatory legitimacy and a default transparency that leaks all financial activity. The author contends that transparency is not a feature but a tax, quantified through MEV extraction, making the public ledger unusable for serious institutions. However, modern cryptography, specifically zero-knowledge proofs, now offers a solution: "provable privacy." This allows users to prove compliance (e.g., solvency, KYC) without revealing underlying data. This fusion of privacy and auditability resolves the transparency-compliant privacy-compliance dichotomy, enabling a purely upgraded system where transactions are verified but not broadcasted. Closing these flaws is presented as the essential bridge to onboard the next wave of trillions in capital.

marsbit3h ago

The Impossible Trilemma Is Basically a Pseudo-Problem

marsbit3h ago

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

The article argues that blockchain's fundamental limitation is not the scalability trilemma (decentralization, scalability, security), which has been largely solved, but the lack of **privacy** and, until recently, clear **legitimacy**. Blockchain is described as a slow, expensive, globally shared computer whose core value is censorship resistance and verifiability. While ideal for native digital assets like money (e.g., stablecoins), its default transparency acts as a **tax**, exposing all transactions and enabling MEV extraction, which deters serious institutional capital. Simultaneously, its permissionless nature created regulatory ambiguity. The piece contends that **privacy** is the missing critical feature. It rejects the false choice between total transparency and complete anonymity. Modern cryptography (like zero-knowledge proofs) enables **compliant privacy**: users can prove facts (solvency, KYC status, compliance) without revealing the underlying sensitive data (specific holdings, identities). This preserves auditability for regulators and eliminates the leak of financial information. With recent regulatory progress (e.g., the GENIUS Act) addressing legitimacy, adding default, provably compliant privacy becomes a pure upgrade. It transforms blockchain from a costly, public ledger into a confidential settlement layer, finally bridging the gap to mainstream institutional and individual adoption of on-chain finance.

链捕手3h ago

The "Impossible Triad" Is Fundamentally a Pseudo-Problem

链捕手3h ago

Optical Chips: Collective Capacity Expansion

The global optical chip industry is experiencing a massive wave of expansion driven by surging AI data center demand. Major players across the US, Japan, Europe, and China are aggressively investing to ramp up production capacity. In the US, Coherent is expanding its 6-inch Indium Phosphide (InP) semiconductor fab in Texas, supported by CHIPS Act funding and a $2 billion strategic investment from NVIDIA. Lumentum is building a new factory for InP optical devices, and Nokia is scaling its advanced photonic chip packaging and testing capabilities. NVIDIA's investments aim to secure future supply of critical lasers and optical interconnect products for AI infrastructure. Japan's JX Advanced Metals, a leading InP substrate supplier, plans a multi-billion yen investment to increase its capacity 7-10 times, strengthening its grip on the crucial upstream materials market. In Europe, IQE and Tower Semiconductor settled a patent dispute and signed a multi-year InP epitaxial wafer supply agreement, highlighting that next-generation silicon photonics platforms will integrate high-performance InP components. STMicroelectronics and Sivers Semiconductors are also expanding silicon photonics production and partnerships. China is rapidly building out its domestic supply chain. Dongshan Precision's subsidiary, Source Photonics, announced a $12 billion project to expand optical chip and module production. Companies like Sanan Optoelectronics and Yunnan Germanium are scaling up InP chip manufacturing and substrate production, moving towards vertical integration from materials to modules. While debate continues around the exact future architecture—whether CPO (Co-Packaged Optics), NPO, or pluggables will dominate—analysts like Morgan Stanley argue the underlying driver is unchangeable: the explosive growth in bandwidth demand. This will inevitably increase the volume of optical engines, lasers, and related content per GPU, regardless of the final technical path. The competition for "more light" in the AI era has intensified into a global, full-chain capacity race.

marsbit5h ago

Optical Chips: Collective Capacity Expansion

marsbit5h ago

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手7h ago

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手7h ago

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit8h ago

1996 or 1999? Walsh's First Test is 'How to View AI'

marsbit8h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of AI (AI) are presented below.

活动图片

Top Questions