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NeoSoul launches the native Skill Builder for the Agent trading platform, allowing you to create trading strategies in one sentence

BSC and 0G ecosystem AI economic infrastructure project NeoSoul announced that its general intelligent trading workstation NeoTrade has launched the trading Skill Builder. Users only need to describe their trading ideas or trading styles in a conversation, and the system can generate the corresponding trading Skill, automatically completing the configuration and verification of strategy parameters such as time period, market focus, position, and order method.In the past, traders needed to turn their trading ideas into strategies that Agents could execute sustainably, which often required writing trading logic and setting parameters item by item. The Skill Builder centralizes the process into a conversation window, allowing users to describe their core trading ideas in natural language, and then gradually refine the strategy through continuous dialogue. During the conversation, NeoTrade will configure specific conditions based on user requirements and write each modification in real-time into the Skill. Once the strategy is complete, the system will automatically perform parameter verification, and the generated Skill can be saved and reused.Kaelan, co-founder of NeoSoul, stated that turning trading judgments into rules that Agents can execute has always been one of the most time-consuming steps in creating trading Agents. The Skill Builder incorporates this step into a single conversation, where users first clarify how they want to trade, and the system is responsible for completing the structuring, parameter configuration, and verification.

Jason Fung, Head of Global Partnerships: The prediction market should not only be a "trading market," but should also become an open ecosystem for users to create markets

On August 21, the GATE ZONE fireside chat event took place in the Summer Bay area of Coinfest Asia, where Gate Head of Global Partnerships Jason Fung shared insights on the theme "Predicting the Biggest Market Opportunities." He discussed the competitive landscape of prediction markets, user-created markets, the Builder ecosystem, and future market opportunities. Jason Fung stated that as on-chain prediction markets continue to develop, industry competition will no longer focus solely on liquidity and trading volume. Instead, lowering the barriers to market creation, diversifying market types, and enabling more users to participate in market building will become important directions for the future development of prediction markets.Regarding the recent launch of the event contract Builder by Gate DexBuilder, Jason Fung mentioned that enabling users to create markets independently is an important step towards the openness of prediction markets. By lowering the barriers to creating and launching event markets, users can quickly build markets around popular events and explore more niche themes and potential demands, thereby driving the evolution of prediction markets from a product form dominated by a few platforms to a more open market ecosystem.Jason Fung believes that there are still many opportunities in prediction markets that have not been fully explored, and their application scope is expected to continue extending from popular fields such as politics, sports, crypto, AI, and entertainment. As more developers and entrepreneurs enter this space, the Builder ecosystem, market diversity, and user experience will become important driving forces for industry development, and on-chain event markets are expected to further expand from early user groups to a broader user market.

first_img ARK Invest Research Director: Suggests Hyperliquid acquire Gemini to create a compliant HIP-3/4 platform in the U.S

ARK Invest Research Director lorenzoark suggested that Hyperliquid acquire the U.S. compliant trading platform Gemini, transforming it into a U.S. regulated HIP-3 and HIP-4 deployment platform. Hyperliquid is in contact with the CFTC and SEC to support U.S. regulated companies in offering perpetual contract trading and settlement on its public chain. Gemini went public in September 2025 with a valuation of $3.3 billion, and its current market value is approximately $450 million, down over 85% from its IPO. Its core business is under pressure, having scaled back operations in the UK, EU, and Australia, with staff reduced by about 40% from a peak of 402 to 402, and platform assets decreasing from $18.2 billion to $8.4 billion, with spot trading volume down 66%.Approximately $450 million would secure Gemini's complete U.S. regulatory license portfolio, including the NYDFS trust license, CFTC-regulated DCM (Gemini Titan), DCO (Gemini Olympus), an ongoing FCM, nearly all state MTLs, and broker-dealer licenses. In comparison, Kraken's parent company acquired Bitnomial for up to $550 million, making Gemini's overall market value lower. After the acquisition, it could inherit operational assets such as approximately 580,000 monthly active trading users, 1.72 million lifetime users, $8.4 billion in platform assets, quarterly spot volume of $3.8 billion, and approximately $180 million in annualized revenue.

hot_img Xiaohongshu has created an "AI Shopping Guide" feature that directly pushes product cards and order links in conversation scenarios

According to an exclusive report from "Du Jia," Xiaohongshu is developing a brand new "AI Shopping Guide" feature, which relies on a conversational interaction model to directly push product cards and attach order jump links in Q&A scenarios. This project is led by Daoxuan (Pan Boyuan). As of the time of publication, Xiaohongshu has not responded.Previously, Xiaohongshu launched an AI summary feature in store reputation, and this AI shopping guide is a further extension of its intelligent transaction chain. According to public data, Xiaohongshu has approximately 400 million global MAU, with 39 million users engaging in explicit purchasing behavior daily, resulting in 140 million active purchase requests, over 47 million users entering merchant live streams, and more than 170,000 merchant group chats remaining active. During the 618 period, the GMV of store broadcasts increased by 265% year-on-year, and note content drove transaction growth of over 210%.Xiaohongshu currently adopts a dual transaction model of "internal marketplace closed loop plus external traffic diversion," and there is still room for improvement in the direct order conversion rate within the platform. The launch of the AI shopping guide feature is expected to further enhance its internal e-commerce GMV and revenue.
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