# AI Trading Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "AI Trading", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

How Short-Term Traders Are Using Ozak AI to Multiply Capital Faster Than Traditional Hold Strategies

Short-term crypto traders are increasingly turning to Ozak AI ($OZ), an AI-powered platform currently in its Phase 7 presale priced at $0.014, to seek returns that outpace traditional buy-and-hold strategies on assets like Bitcoin. The project's presale has already seen a 1,300% increase from its initial price, raising nearly $7 million. Traders are attracted by the potential for exponential gains ahead of a projected $1 exchange listing. The platform offers features tailored for active trading, including a Predictive Analytics Engine for real-time market insights, the Ozak Stream Network for live data, and customizable AI agents for automated responses. Its token, $OZ, provides utility through staking, governance, and monetization. The article highlights the significant ROI potential: a $100 investment at the current presale price could grow substantially if the token reaches higher price targets upon listing. Traders are employing strategies like swing trading, scalping, and presale arbitrage to capitalize on this early-stage opportunity, leveraging Ozak AI's tools for faster capital multiplication in volatile markets compared to traditional holding approaches.

TheNewsCrypto05/28 06:46

How Short-Term Traders Are Using Ozak AI to Multiply Capital Faster Than Traditional Hold Strategies

TheNewsCrypto05/28 06:46

Quantitative AI Trading Platform AlphaNet Raises $10M Seed Round Led by Joffre Capital

Quantitative AI trading platform AlphaNet has raised $10 million in a seed funding round led by Joffre Capital, with participation from Huashan Capital and an Asia-based quantitative trading consortium. The platform, which is preparing for a public launch, aims to level the playing field for retail investors by providing end-to-end automated trading access to institutional-grade quantitative strategies. Its offerings include a strategy marketplace, one-click deployment, and proprietary execution algorithms. Incubated by prop trading firm Tensor Investment, AlphaNet currently features over 30 strategies and plans to open its platform to other quant teams by the end of Q2. The funding brings operational expertise from Joffre Capital, scaling resources from Huashan, and additional strategies from the consortium.

TheNewsCrypto04/16 06:05

Quantitative AI Trading Platform AlphaNet Raises $10M Seed Round Led by Joffre Capital

TheNewsCrypto04/16 06:05

Prediction Markets Hit Record Highs As Bets Explode On Global Conflict

Prediction markets are experiencing unprecedented growth, driven by automated AI agents and high-frequency trading bots that extracted approximately $40 million from market inefficiencies in a single month. These markets are increasingly dominated by bets on geopolitical events, such as the US-Israeli conflict with Iran, and major political events like the 2028 US Presidential primary, rather than cryptocurrency prices. TRM Labs reported a 2,800% year-over-year increase, with March 2026 seeing 191 million transactions totaling nearly $24 billion. This surge has attracted regulatory scrutiny over potential insider trading, leading to bipartisan efforts to ban "casino-style" event contracts. Platforms like Kalshi and Polymarket are implementing internal restrictions to preempt stricter regulations, as the industry balances its role as a forecasting tool with concerns over speculation on global conflicts.

bitcoinist03/31 02:31

Prediction Markets Hit Record Highs As Bets Explode On Global Conflict

bitcoinist03/31 02:31

BingX Unveils BingX AI Claw, the World’s First AI-Powered Multi-Asset Trading Analyst

BingX, a leading cryptocurrency exchange and Web3-AI company, has launched BingX AI Claw, the world's first AI-powered multi-asset trading analyst. This tool provides users with real-time, actionable, and tailored trading signals for high-potential opportunities. It is available for free within the BingX app and is part of the company's broader AI suite. Key features include cross-validated signals that analyze technical indicators, capital flows, news, and sentiment; real-time strategy optimization that adapts to market changes; self-evolving intelligence that improves over time; explainable insights with clear reasoning; and full user control without automatic trade execution. According to Vivien Lin, Chief Product Officer at BingX, this innovation aligns with their mission to make trading more accessible. BingX AI Claw is designed to help traders identify opportunities while maintaining full control over their decisions. Founded in 2018, BingX serves over 40 million users globally and is a top-five crypto derivatives exchange. It is also the principal partner of Chelsea FC and the official crypto exchange partner of Scuderia Ferrari HP.

TheNewsCrypto03/20 10:37

BingX Unveils BingX AI Claw, the World’s First AI-Powered Multi-Asset Trading Analyst

TheNewsCrypto03/20 10:37

Only xxx Can Save the Crypto World? Let 'Lobster' Play Prediction Markets

This article discusses recent hot topics in the crypto community, as shared by influencers on X (formerly Twitter). Key points include: - Debate around an AI arbitrage bot allegedly earning $98K on Polymarket using Claude. Skeptics point to potential survivorship bias, liquidity constraints, and the rapid decay of alpha once strategies are public. - A resource sharing over 11,000 high-quality image generation prompts for Nano Banana Pro. - Commentary on Venus Protocol, highlighting its vulnerability to repeated exploits, with a linked analysis of how to profit from a recent attack. - A controversial opinion piece by influencer @BTCdayu arguing that only Sam Bankman-Fried (SBF) can "save crypto." The author claims that despite SBF's crimes and 25-year sentence, his genius is needed to address current industry crises: VC-backed altcoins scamming users, Bitcoin miners pivoting to AI, broken tokenomics, and a lack of new narratives. SBF's background at Jane Street, his innovative FTX trading system, and his early bets on AI (like Anthropic) are cited as reasons he could drive integration between AI and crypto, potentially pushing BTC to $1 million. This sparked heated discussion, with replies noting the improbability of a pardon, SBF's likely shift to AI, and that this nostalgia reflects a bygone era of "capital, narrative, and runaway imagination." The article concludes with links to the news outlet's social channels. All content is presented as personal opinion and not investment advice.

比推03/17 00:39

Only xxx Can Save the Crypto World? Let 'Lobster' Play Prediction Markets

比推03/17 00:39

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Amid the OpenClaw trend, CEXs are competing to become the primary trading interface for AI Agents, rather than passively serving as liquidity providers. The core question is whether exchanges will retreat to the backend or proactively position themselves as the default financial infrastructure for Agents. While many portray the shift from trading apps to dialog-based interfaces as revolutionary, current practical applications are more limited—focusing primarily on research, filtering, alerts, and conditional judgments. Execution remains challenging due to unresolved issues around permissions, confirmation mechanisms, error handling, and liability. Therefore, the initial competition will likely center on perfecting pre-trade functionalities rather than full automation. Exchanges are now racing to modularize their trading capabilities, design secure permission systems, and secure default integration within platforms like Claude, OpenClaw, and ChatGPT. Although it is too early to predict whether this will reshape the industry structure, it is clear that trust and user habits cannot be built overnight. The key takeaway is that the industry is confronting a concrete emerging question: as AI Agents gradually take over parts of the trading workflow, who will become the default crypto financial operating system?

marsbit03/16 06:11

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

marsbit03/16 06:11

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Under the "OpenClaw Craze," major cryptocurrency exchanges like OKX, Binance, Gate, and Bitget are aggressively competing to become the primary transaction entry point for AI Agents. They are no longer just chasing trends but are transforming their core capabilities—trading, market data, wallets, and payments—into modular interfaces that Agents can understand and execute. OKX is focusing on execution, integrating spot, perpetual, and options trading with local signing and simulation modes. Binance is strengthening its information layer and skill distribution, expanding from market data into derivatives and asset management. Bitget is pushing for greater depth, incorporating copy trading, wealth management, and payment services. Gate is building a foundational platform with DEX/CEX MCP, CLI, and Skills Hub. The shift is significant: exchanges are moving beyond AI-assisted analysis to enabling actual system calls and execution. While pre-trade actions like research and screening are becoming smoother, challenges around permissions, security, and risk management in fully automated trading remain. The core competition is about which platform can best modularize its services, ensure security, and become the default financial infrastructure called by Agents in interfaces like Claude and ChatGPT.

Odaily星球日报03/16 06:03

Amid the OpenClaw Craze, CEXs Vie for AI Agent Trading Entry Points

Odaily星球日报03/16 06:03

Racing 22 Agents on Hyperliquid: What Did I Discover? (Full Strategy Code Included)

Summary: We deployed 22 autonomous AI trading agents on Hyperliquid, each with $1000, executing over 5000 trades. Key findings: 1) Less trading with higher conviction yields better results—agents with under 120 trades were profitable, while those with over 400 lost significantly. 2) Profits follow a power law: 3-5 trades generated nearly all gains, with small losses quickly stopped out. 3) Real-time "Hyperfeed" data (tracking where smart money is profiting) outperformed pure technical analysis. 4) Mean-reversion strategies failed in perpetual markets; trend-following was more effective. 5) Agents self-adjusted poorly when losing, often accelerating losses by increasing leverage or removing safeguards. Future steps include hardening risk controls in code and testing new strategies. All code is open-sourced, and experiments continue live.

Odaily星球日报03/16 03:40

Racing 22 Agents on Hyperliquid: What Did I Discover? (Full Strategy Code Included)

Odaily星球日报03/16 03:40

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