According to DecryptMedia, Myriad Markets co-founders @loxley_eth and @ilanhz outlined their competitive strategy in the prediction market space. Key highlights include the integration of AI agents for trading, the role of institutional traders and market makers, and the importance of market makers in enhancing platform liquidity. Additionally, the roadmap discusses the utility of the Myriad token, a new leaderboard system, and growth projections aimed at outperforming competitors in the prediction market arena.

According to Polymarket, users can now enable their AI agents to trade on the Polymarket platform using the newly introduced AgentCard. This feature is expected to enhance automated trading capabilities and foster competition among AI-driven strategies.

According to Justin Sun, Huobi HTX has officially launched its AI-powered trading features, offering two core capabilities: spot trading with market and limit order execution, and contract trading with natural language support for opening long or short positions. These functionalities integrate with popular AI tools like OpenClaw and Claude Code, enabling streamlined trading operations. The platform plans to expand with additional modules such as MCP Server and CLI tools.

According to Justin Sun, HTX AI Skills has officially launched, introducing advanced AI-driven functionalities for trading. The platform supports spot trading with AI-executed market and limit orders, and futures trading through natural language commands, enabling users to open long or short positions seamlessly. These features integrate with top AI tools like OpenClaw and Claude Code. Future updates will include MCP servers, CLI tools, and additional modules, aiming to enhance trading efficiency.

According to Gracy Chen from Bitget, the company has launched GetClaw, an AI-powered trading agent requiring no installation and offering seamless decision-making support across trading processes, including market analysis, order placement, risk management, and fund management. Additionally, Bitget introduced Agent Hub, an ecosystem platform designed for developers and external agents to build a more automated and open AI trading ecosystem. This positions Bitget as a frontrunner in leveraging AI for trading innovation.

According to Binance, the platform has introduced four new AI Agent Skills to enhance trading capabilities. These skills include 'Alpha' for market data access without an API key, 'Derivatives' covering over 70 futures endpoints, 'Margin' supporting cross and isolated trading with up to 10x leverage, and 'Assets' managing deposits, withdrawals, and asset management. This comprehensive toolset aims to empower traders with advanced, AI-driven functionalities.

According to @star_okx, the OKX Agent Trade Kit enables seamless integration of AI with trading infrastructure, offering tools for real-time market data, order execution, strategy automation, and risk management. Developers can utilize over 80 tools via MCP or CLI to build, test, and deploy trading solutions on the OKX exchange. The platform ensures API key security and provides auditable code, enhancing both flexibility and transparency.

According to @peterhch, Coinpilot 2.0 has been officially launched, transitioning from a crypto perps copy trading app to a comprehensive AI-powered trading platform. This new iteration enables users to copy top traders across crypto, stocks, and prediction markets while incorporating AI-driven risk management. The platform also introduces Coinpilot Skills, paving the way for autonomous trading via AI agents that manage portfolios and surface optimal strategies.

According to Binance, the first batch of Binance AI Agent Skills has been launched, featuring 7 innovative tools designed to analyze markets, assess risks, and execute trades seamlessly. These tools aim to streamline the trading workflow and enhance decision-making capabilities for users.

According to @ranyi1115, AI agents with advanced trading capabilities have been launched on the mainnet. These agents, built on EVM and Solana rails, offer autonomous trading, bridging, and strategy-building functions. With features like smart LLM routing, fast deployment, and secure personal containers, they include tools such as Orderly skill and a trading strategy creator. This innovation represents the next step in financial interfaces by introducing agentic systems.

According to @TATrader_Alan, Perplexity Computer by Perplexity AI is a groundbreaking tool for crypto traders. This multi-model AI platform seamlessly integrates various AI capabilities to handle tasks like market analysis, coding, and project management autonomously. Using 19 different models, including Claude for reasoning and GPT for context, it can generate comprehensive cryptocurrency reports and suggest trading strategies while maintaining persistent memory for continuous improvement. This innovation could significantly enhance trading workflows by automating technical analysis, sentiment scans, and backtesting.

According to Justin Sun, AINFT facilitates token purchases with remarkable speed and convenience. By leveraging AI technology, AINFT aims to enhance user experience in trading tokens, aligning with the #TRONAISeason initiative. This development underscores the expanding role of AI in cryptocurrency ecosystems.

According to @StockMKTNewz, a new project named RalliesAI has been introduced, showcasing its potential to transform trading through advanced AI technologies. This development is expected to enhance decision-making processes and provide innovative tools for traders, emphasizing its significance in the evolving financial tech landscape.

According to @gensynai, Delphi has been launched as the first live market for machine intelligence, offering a platform where participants can trade AI resources. This initiative aims to revolutionize the AI economy by creating a decentralized marketplace for computational power and machine learning models. Traders and developers can utilize Delphi to access and monetize AI capabilities, presenting a significant opportunity for innovation in the AI and blockchain sectors.

According to @caprioleio, Capriole AI’s Bitcoin time series trading model is live with about 200K deployed in live trading. Per @caprioleio, the system uses Google Gemini Pro 3 to process over 200 proprietary metrics and strategies, with more than 40 data points each, plus over 20,000 pages of internal research and hundreds of chart images to drive daily target position weight changes. According to @caprioleio, the team plans weekly upgrades adding more data, process optimization, and self learning, and expects capital to scale into the millions as live performance is proven. Per @caprioleio, conservative allocations are recommended while the model is in Beta, and the firm considers it among the most comprehensive publicly available Bitcoin AI trading models.

According to @GracyBitget, Bitget now enables trading across crypto, tokenized U.S. stocks, ETFs, gold, and silver, reflecting rising user demand for diversification over single-asset exposure. According to @GracyBitget, tokenized equities are gaining traction, with Bitget reaching roughly $1–1.5B cumulative volume, about 90% of partner Ondo Finance’s spot market volume coming from Bitget users, and around 80% of flow concentrated in about 10 names such as NVDA, TSLA, QQQ, and silver. According to @GracyBitget, when volatility increases, users either diversify into gold or tokenized equities or park USDT in wealth management products, so exchanges must deliver value beyond pure trade execution. According to @GracyBitget, AI is becoming core infrastructure for exchanges, evidenced by Bitget’s GetAgent rollout for AI-assisted trading, AI adoption across 20+ internal departments, and the buildout of GracyAI to systematize content and decision support. According to @GracyBitget, exchange operations will be deeply AI-driven in the next three to five years, supporting cross-asset diversification and strategy execution for traders.

According to @GracyBitget, Bitget has expanded from a pure crypto exchange to offer trading in tokenized U.S. stocks, ETFs, gold, and silver to meet investor demand for diversification after October’s mass liquidation (source: @GracyBitget). She reported tokenized stocks have generated roughly $1–1.5B in cumulative volume, with about 80% of activity concentrated in names like NVDA, TSLA, QQQ, and silver, and noted that 90% of partner Ondo Finance’s spot volume comes from Bitget users (source: @GracyBitget). She added that tokenized-stock turnover is still small relative to Bitget’s $10–20B daily crypto volume but is growing rapidly, signaling rising cross-asset engagement by crypto traders (source: @GracyBitget). In volatile downturns, users diversify into gold or tokenized equities or park USDT in wealth management products, highlighting the need for exchanges to pair trading with yield and portfolio tools (source: @GracyBitget). Bitget is also accelerating AI adoption via its GetAgent trading assistant, internal AI use across 20+ departments, and the upcoming GracyAI, indicating exchanges will be deeply AI-driven within the next 3–5 years (source: @GracyBitget).

According to @cas_abbe, NFP revealed a preview of its AI trading feature model, with the official launch to be announced later. source: @cas_abbe on X NFP stated that NFP AI Trade has completed testing and showed repeatable performance in live conditions with autonomous, prompt driven execution and no human intervention. source: @nfprompt on X Binance launched NFP Spot Trading Rewards with an approximately $200,000 prize pool, providing increased global exposure for NFP trading pairs. source: @binance on X NFP announced a new partnership with ByteDance to support ecosystem expansion and its long term vision. source: @nfprompt on X The author characterized these developments as the next evolution of NFP’s AI driven ecosystem with strong momentum. source: @cas_abbe on X

According to @AnthropicAI, Anthropic announced new Fellows research called the Assistant Axis that examines the Assistant persona played by language models and what occurs when that persona wears off, as stated in its official post on X on Jan 19, 2026, https://twitter.com/AnthropicAI/status/2013356793477361991. According to @AnthropicAI, the post provides no benchmarks, release notes, code, product announcements, or timelines, implying no immediate, quantifiable trading catalyst for AI-linked crypto assets or equities from this announcement alone, https://twitter.com/AnthropicAI/status/2013356793477361991. According to @AnthropicAI, near-term market implications are therefore limited to headline and sentiment effects until Anthropic releases further materials or measurable results, as none are included in the post, https://twitter.com/AnthropicAI/status/2013356793477361991.

According to @ranyi1115, Starchild has launched Vibe Trading, an AI-driven tool that lets anyone create and automate trading strategies. Source: Ran @ranyi1115 on X, Jan 19, 2026: https://twitter.com/ranyi1115/status/2013294370989146403; Starchild @StarchildOnX product announcement on X, Jan 19, 2026: https://x.com/StarchildOnX/status/2013255368281915852. Strategies can paper trade instantly, auto-enter a public leaderboard, and be followed by other users, enabling social-copy style discovery for traders. Source: Ran @ranyi1115 on X, Jan 19, 2026: https://twitter.com/ranyi1115/status/2013294370989146403; Starchild @StarchildOnX on X, Jan 19, 2026: https://x.com/StarchildOnX/status/2013255368281915852. The announcement also claims users can create profitable strategies in minutes and teases upcoming collaboration between Starchild and Orderly, with no additional technical details or timelines provided in the posts. Source: Starchild @StarchildOnX on X, Jan 19, 2026: https://x.com/StarchildOnX/status/2013255368281915852; Ran @ranyi1115 on X, Jan 19, 2026: https://twitter.com/ranyi1115/status/2013294370989146403.