# Сопутствующие статьи по теме AI

Новостной центр HTX предлагает последние статьи и углубленный анализ по "AI", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

How to Build a Polymarket Passive Income Bot from Scratch

Polymarket, a leading prediction market platform on Polygon, allows users to bet on real-world events using USDC. Its open API, transparent order book, low fees, and numerous human traders making errors create a fertile ground for automated trading bots. This article breaks down bot strategies from basic to advanced. Beginner-level bots include airdrop farming bots that generate volume by repeatedly buying and selling the same position, and volatility捕捉 bots that bet on mean reversion after sharp price swings. Intermediate strategies involve market-making bots, which profit from bid-ask spreads and liquidity rewards by placing limit orders, though they require significant capital and risk losses during sudden market moves. Advanced bots include arbitrage bots that exploit pricing inefficiencies between related outcomes (e.g., YES/NO shares summing under 100%), and AI-powered bots that integrate multiple data sources—historical prices, news, on-chain activity, social sentiment—to identify mispriced probabilities and execute trades across hundreds of markets. All bots require access to Polymarket’s API, a Polygon wallet for USDC transactions, historical data storage (e.g., PostgreSQL), and a Python-based toolchain. Bots succeed due to their speed, discipline, scalability, and data-processing capabilities. However, effective risk management is crucial, as strategies can fail due to liquidity issues, unexpected news, or intense competition. Building a profitable AI bot is particularly resource-intensive, akin to running a startup.

Odaily星球日报12/10 03:15

How to Build a Polymarket Passive Income Bot from Scratch

Odaily星球日报12/10 03:15

JPMorgan's 2026 Global Investment Outlook: Economic 'K-Shaped Divergence' Continues; AI Adoption Soars

JPMorgan's 2026 Global Investment Outlook highlights a continued "K-shaped" economic divergence in the U.S., where high-income groups and technology sectors benefit significantly, while middle- and lower-income populations and interest-rate-sensitive industries face ongoing pressure. The U.S. economy is expected to remain resilient, supporting risk assets like equities and corporate credit, though cyclical momentum is limited. The Federal Reserve will continue normalizing interest rates cautiously amid potential volatility. Key investment themes include balancing portfolios across stocks, bonds, and alternative assets to capture structural opportunities and diversify returns. Three critical questions for investors are whether stocks are overvalued, if profits can remain strong, and whether AI-related stocks are in a bubble. Growth stocks, particularly in technology, remain attractive due to strong earnings, while consumer stocks lag due to tax and spending pressures. AI beneficiaries extend beyond innovators to enablers (industrials, utilities) and adopters (finance, healthcare). Fixed income investments should focus on high-quality assets, with longer-duration bonds offering potential upside if rates decline. Despite a recent increase in international equity allocations, U.S. equities remain overweighted. The "60/40" stock/bond model is evolving into "60/40+" by incorporating alternatives for lower correlation and reduced volatility. Structural improvements in international markets and a weaker dollar support non-U.S. equities. Investors are advised to emphasize selectivity, diversification, and active management in a complex macro environment.

cointelegraph_中文12/09 21:54

JPMorgan's 2026 Global Investment Outlook: Economic 'K-Shaped Divergence' Continues; AI Adoption Soars

cointelegraph_中文12/09 21:54

Why is Crypto the Key Infrastructure for the Large-Scale Adoption of AI Agents?

Why Crypto is Key Infrastructure for AI Agent Mass Adoption For AI Agents to become widely deployable autonomous software, they require two core capabilities: composability and verifiability. These are inherently lacking in traditional Web2 systems but are natively provided by cryptocurrency networks. AI's future lies not in isolated models but in agents that automatically call services, compose with other agents, write code, test, and execute decisions involving financial actions. This agent composability depends on verifiability—knowing another agent executed as promised. Web2 infrastructure (APIs and SaaS) fails here due to black-box operations, mutable data, unprovable results, centralized audits, and manual settlements. Cryptocurrency provides the missing verified base layer through: 1. Verifiable Execution: Smart contracts and ZK proofs enable transparent, provable on/off-chain actions. 2. Verifiable Identity: DIDs and signed agent code ensure trust and integrity. 3. Verifiable Value Transfer: Automated payments, revenue sharing, collateralization, and penalties enable direct fund management without intermediaries. As AI evolves from code generation to full-cycle automation (writing, testing, running, fixing), especially with real-world financial impact, crypto becomes essential. It enables automatic penalties for failures, rewards for contributions, multi-agent settlements, and trustless coordination—making AI economically viable beyond demos. In short: AI enables autonomy; crypto makes autonomy trustworthy. Without crypto's verifiability, AI agents cannot operate reliably at scale in the real economy.

深潮12/09 03:58

Why is Crypto the Key Infrastructure for the Large-Scale Adoption of AI Agents?

深潮12/09 03:58

BitPush Daily News Digest: Strategy Increases Bitcoin Holdings by 10,624, Total Reaches 660,624; BitMine Adds 138,452 ETH Last Week, Tom Lee Bullish on Ethereum; US CFTC Approves Ethereum, Bitcoin, and USDC as Collateral in Derivatives Market

Bitpush Daily News Digest: Strategy has purchased an additional 10,624 BTC for approximately $962.7 million, bringing its total holdings to 660,624 BTC with an average cost of $74,696 per coin. BitMine announced it increased its ETH holdings by 138,452 tokens last week. The company now holds a total of $13.2 billion in assets, including 3,864,951 ETH, 193 BTC, equity in Eightco Holdings, and $1 billion in cash. Fundstrat Chairman Tom Lee expressed strong confidence in ETH's price performance in the coming months, citing the recent Fusaka upgrade and key Federal Reserve actions, including the end of quantitative tightening and an expected rate cut. The U.S. CFTC has approved a new pilot program allowing Bitcoin, Ethereum, and USDC to be used as collateral in derivatives markets, building on earlier efforts to expand the use of tokenized collateral. In other financial news, Morgan Stanley analysts predict a bull market for U.S. stocks in 2026, driven by broadening market leadership and improved corporate profits. Ray Dalio commented that the biggest winners in AI will be the users, not giant corporations, and advised investing in companies that leverage AI for efficiency. Former President Donald Trump announced he will issue a "single rule" executive order this week to create a unified national regulatory framework for AI, warning that a state-by-state approval process would "destroy AI in its infancy."

比推12/09 00:08

BitPush Daily News Digest: Strategy Increases Bitcoin Holdings by 10,624, Total Reaches 660,624; BitMine Adds 138,452 ETH Last Week, Tom Lee Bullish on Ethereum; US CFTC Approves Ethereum, Bitcoin, and USDC as Collateral in Derivatives Market

比推12/09 00:08

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