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AI Outperforms Humans in Cryptocurrency Trading Tournament. What Were the Results?

An AI vs. human crypto trading tournament, organized by the Aster exchange, concluded with AI models collectively outperforming human traders. The human team suffered aggregate losses exceeding 32% of their initial capital ($225k), while the AI team lost less than 4.5% ($13.5k). The competition featured 70 selected human traders and 30 AI models, including Claude Sonnet 4.5, ChatGPT 5, Grok 4, and DeepSeek 3.1. Each participant was given $10,000 to trade futures contracts. The AI models operated solely on prompts without additional training, code, memory of past trades, or access to external data. The overall top performer was a human trader, ProMint, with a profit of $13.6k. The best AI, an aggressively configured Claude Sonnet 4.5, earned $8.09k, placing 8th in the overall standings. Only 8 AI models were profitable, with 4 earning over $1k. In contrast, 30 human traders lost almost their entire deposit, though 21 others profited over $1k. The results contrast with a previous AI-only experiment in October, where most models also finished with losses, and DeepSeek and QWEN3 were the winners.

RBK-crypto12/24 11:13

AI Outperforms Humans in Cryptocurrency Trading Tournament. What Were the Results?

RBK-crypto12/24 11:13

Texas Poker Bluffing Battle | The Key to Victory in WPT Global High-Stakes Cash Game: AK vs 99

An analysis of a high-stakes cash game hand on WPT Global between Alan Keating (A♠K♥) and Nik Airball (9♠9♦). The hand demonstrates how player image and credibility are often more critical than raw hand strength in deep-stack play. Keating, known for a loose and aggressive style with a wide range, 3-bet pre-flop. Airball, a skilled player adept at reading opponents, responded with a 4-bet. Keating then made a large 5-bet, a polarized move representing either a very strong hand or a pure bluff. Airball called, taking position to the flop (J♠4♦6♠). With his A-K missing the flop, Keating moved all-in with a massive overbet, attempting to maximize fold equity by representing a very strong range. However, Airball instantly called. His decision was a strategic read based on Keating's image; he calculated that Keating’s line was more likely a bluff with overcards. The board ran out twice with no A or K, and Airball's pocket nines held. The hand underscores a key high-stakes concept: betting power is determined not just by the cards, but by how opponents perceive your image and credibility. Keating’s aggressive play lost its effectiveness against an opponent who correctly adjusted his calling frequency to exploit it.

bitcoinist12/24 10:22

Texas Poker Bluffing Battle | The Key to Victory in WPT Global High-Stakes Cash Game: AK vs 99

bitcoinist12/24 10:22

67% Of Ethereum Stablecoin Transfers Are P2P, Yet Institutions Dominate Volume

A new analysis of Ethereum stablecoin transactions reveals that while peer-to-peer (P2P) transfers dominate in frequency, institutional activity accounts for the vast majority of transaction volume. According to data shared by an Ethereum Foundation member, 67% of USDT and USDC transfers on the Ethereum network from August 2024 to 2025 were P2P, typically associated with retail users. However, these transfers represented only 24% of the total volume. In contrast, business-related transactions—including business-to-business (B2B), internal business moves, and person-to-business (P2B) transfers—made up just 33% of transaction count but a dominant 76% of the volume. The data, sourced from Artemis, focused exclusively on USDT and USDC transfer transactions, excluding mints, burns, or cross-chain transfers. Ethereum remains the leading network for stablecoins, hosting over 50% of the global supply. Meanwhile, ETH’s price briefly recovered above $3,000 before pulling back to around $2,950.

bitcoinist12/24 10:04

67% Of Ethereum Stablecoin Transfers Are P2P, Yet Institutions Dominate Volume

bitcoinist12/24 10:04

Trend Research quietly becomes one of Ethereum’s largest whales with 46K ETH buy

Trend Research, associated with LD Capital founder Jack Yi, has become one of the largest Ethereum whales after purchasing 46,379 ETH, bringing its total holdings to around 580,000 ETH. This accumulation surpasses most public companies except SharpLink Gaming and BitMine Immersion Technologies, which hold larger amounts. Yi announced plans to invest another $1 billion in ETH, urging traders not to short. Meanwhile, BitMine aims to control 5% of ETH's supply, staking much of its holdings to earn yield and dominate Ethereum's consensus. In contrast, some firms like ETHZilla and FG Nexus are selling ETH to manage debt or fund stock buybacks, creating what analysts call a "transfer of wealth" to strategic accumulators.

cointelegraph12/24 09:54

Trend Research quietly becomes one of Ethereum’s largest whales with 46K ETH buy

cointelegraph12/24 09:54

HashKey secures $250M for new crypto fund amid ‘significant interest’

HashKey Capital has secured $250 million in the first close of its fourth crypto fund, targeting a final size of $500 million. The fund attracted institutional investors, family offices, and high-net-worth individuals despite shifting market conditions. It will use a multi-strategy approach to invest in blockchain infrastructure and scalable use cases. The firm, which manages over $1 billion in assets, recently debuted on the Hong Kong Stock Exchange after a $206 million IPO. Meanwhile, market makers are pulling back from crypto following the October market crash, and ETF outflows suggest reduced institutional participation as liquidity tightens.

cointelegraph12/24 09:19

HashKey secures $250M for new crypto fund amid ‘significant interest’

cointelegraph12/24 09:19

2026 Kicks Off a Major Financial Year: Prediction Markets Are Becoming the Next Frontier for DeFi

The article "2026: The Grand Opening of Finance – Prediction Markets Emerge as DeFi's Next Frontier" discusses the rise of prediction markets in the decentralized finance (DeFi) ecosystem. It highlights how prediction markets, after achieving product-market fit, are gaining mainstream traction, similar to Bitcoin and stablecoins. These markets exhibit a natural platform monopoly effect, forming a layered ecosystem of core platforms, peripheral services, and external applications. Prediction markets are characterized as deterministic yet uncertain, dealing with events like U.S. elections or the World Cup, where outcomes are influenced by real-time information and participant sentiment. Major platforms like Polymarket and Kalshi are becoming centralized hubs for information discovery, backed by significant capital investment due to their maturity and compliance advantages in Western markets. The article identifies four emerging models around prediction markets: 1. Clone platforms facing high entry barriers and compliance costs. 2. Asset-layer innovations, such as DeFi integration for betting assets (e.g., using positions as collateral or adding leverage). 3. Specialized tools for arbitrage, data aggregation, and analysis. 4. KOL-driven referral and佣金 platforms. The most promising opportunity lies in DeFi-izing prediction market assets, particularly leveraging idle funds during the betting period until outcomes are determined. The author proposes a cross-market arbitrage mechanism inspired by e-commerce discount platforms, where users place discounted bets on platforms like Polymarket, while their funds are deployed in DeFi protocols (e.g., Morpho) for yield. This approach benefits all parties: users get better prices, platforms gain volume, and liquidity providers earn returns without disrupting the core betting experience. The conclusion emphasizes that prediction markets' true value is in their locked capital with clear expiration dates. As 2026 approaches with major events like the U.S. midterm elections and the World Cup, regulatory tailwinds and market enthusiasm could make it a pivotal year for prediction markets and DeFi convergence.

marsbit12/24 08:15

2026 Kicks Off a Major Financial Year: Prediction Markets Are Becoming the Next Frontier for DeFi

marsbit12/24 08:15

Huobi HTX Contract Head Fully Deciphers: What Huobi Contracts Did Right in 2025 and Where They Are Headed

Huobi HTX Derivatives Head Decodes 2025 Success and Future Roadmap In 2025, Huobi HTX's derivatives business achieved 2-3x user growth, driven by robust risk management and continuous product upgrades. Key initiatives included the launch of Copy Trading 4.0—a system-level redesign emphasizing user-friendliness, transparency, and safety. The update integrated copy trading with the main contract interface, introduced smart copy modes, and enhanced risk controls with isolated funds and synchronized leverage settings. The growth was attributed to long-term user trust built on Huobi HTX’s 12-year foundation in security and risk control, which withstood multiple market volatilities without major incidents. Liquidity for major and semi-major coins doubled, though improvements are planned for long-tail assets. The Unified Margin system, launched in May, boosted API trading speed by 4x and attracted high-frequency traders. Financial products like Savings (Yu Bao) improved capital efficiency, with plans to increase yields by 2-3x in 2026. AI-driven trading tools and strategy integrations are also prioritized. Looking ahead, Huobi HTX will focus on refining products, optimizing liquidity, enhancing capital efficiency, and deepening risk management. A key shift will involve empowering users with more active risk control tools, promoting transparent and manageable trading decisions. The goal is to enable sustainable participation in high-volatility crypto markets through safer, smarter, and more rational trading frameworks.

深潮12/24 07:57

Huobi HTX Contract Head Fully Deciphers: What Huobi Contracts Did Right in 2025 and Where They Are Headed

深潮12/24 07:57

How is the Once-Booming Metaverse Faring Now?

The metaverse industry in 2025 shows a mixed and evolving landscape, moving past the initial hype into more differentiated and practical developments. Key areas like immersive gaming platforms continue to thrive—Roblox hit 151.5 million daily active users, though it downplays the "metaverse" label in favor of terms like "global gaming ecosystem." Similarly, Fortnite emphasizes open, interoperable experiences with strong third-party content engagement. In contrast, metaverse social platforms struggle. Meta’s Horizon Worlds remains niche with under 200K MAU, while some platforms like VRChat grow steadily. Rec Room faced significant layoffs due to challenges in scaling quality content. Hardware sees divergence: Apple’s Vision Pro targets the high-end but remains niche, Meta’s Quest leads the mass market, and lightweight AR glasses like Ray-Ban Meta gain traction. Industrial metaverse applications are growing robustly, with NVIDIA’s Omniverse and enterprise digital twin use cases expanding in manufacturing, healthcare, and urban planning. Avatar platforms like ZEPETO and Ready Player Me continue evolving, with the latter acquired by Netflix. Crypto and NFT-based metaverses like Decentraland and The Sandbox remain stagnant with low activity, despite efforts like Yuga Labs’ Otherside launch. Overall, the metaverse is maturing with clear winners in gaming and enterprise, while social and crypto segments face structural challenges.

marsbit12/24 07:44

How is the Once-Booming Metaverse Faring Now?

marsbit12/24 07:44

The Life and Death of 2021's Star Projects: Who Remains from the Frenzy of Investments?

The article "2021 Star Projects: Survival or Demise? Who's Left from the Heavily Funded Craze?" reflects on the crypto boom of 2021, a year marked by record-breaking valuations, massive NFT sales, and a wave of venture capital flooding into Web3 projects. That year, crypto startups raised $25.2 billion—a 713% increase from 2020. However, four years later, most of the top 400 highly-funded projects have collapsed or become inactive. Notable failures include centralized finance platforms like FTX, which raised $1.32 billion before its fraudulent collapse in 2022, and Celsius Network, which promised high yields but saw its token plummet 99.73%. Other lending platforms like BlockFi and Voyager Digital also crumbled during the liquidity crisis. NFT and metaverse projects, once hyped as revolutionary, largely failed. Axie Infinity, which raised $159.5 million, saw its token drop 99.49% as its play-to-earn economy proved unsustainable. The Sandbox, a metaverse project that raised $93 million, now sits mostly empty despite initial land sales. The piece concludes that most projects were products of a speculative bubble, with less than 5% creating lasting value. As a new cycle begins, it questions which of today’s projects will survive when the hype recedes.

marsbit12/24 07:29

The Life and Death of 2021's Star Projects: Who Remains from the Frenzy of Investments?

marsbit12/24 07:29

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

This article summarizes the top concerns of cryptocurrency users in 2025, as predicted by 10 major AI models. The models were asked to identify the three most common questions users would have about crypto in 2025, with instructions to avoid real-time searches and base answers on long-term discussion patterns. The responses, while varied, cluster around three core themes: market cycles, profit opportunities, and risk management. Key recurring questions include: - The current market phase (bull or bear) and how long it will last. - Bitcoin's price trajectory post-halving and the market's peak. - Where to find profitable opportunities (alpha) and the best assets or sectors to invest in (e.g., RWA, AI+Crypto, L2s, Solana). - The impact of regulatory changes and ETF approvals on the market and asset safety. - How to identify scams, assess project legitimacy, and securely store assets. - Practical on-chain concerns like avoiding MEV and setting slippage. The analysis notes that the models' different focuses reflect their design and user base. For instance, ChatGPT framed questions around a structured narrative of market anxiety, while Kimi addressed granular technical issues. More capable models tended to provide sharper, more specific questions, while others fell back on broader, common themes. Overall, the collective output reveals a user mindset focused on first gauging market trends, then seeking alpha, and finally mitigating risks.

比推12/24 06:50

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

比推12/24 06:50

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