neotrade

Singapore, October 13, 2026, the BSC ecosystem AI Agent project NeoSoul today announced a strategic cooperation with Alibaba Cloud. NeoSoul has integrated Alibaba Cloud's AI model services into its Agentic Trading product NeoTrade, providing support for model inference and computation for autonomous trading agents; as the product develops and usage scales grow, both parties plan to further explore cloud-based AI technology collaboration.After users set trading rules in NeoTrade, the AI Agent will continuously track market changes, assess trading opportunities, and execute strategies within the authorized scope. The model inference and computation services provided by Alibaba Cloud will support the Agent in repeatedly updating judgments in response to market changes, providing computational resources for autonomous trading applications.Kaelan, co-founder of NeoSoul, stated that AI Agents are evolving from answering questions to continuous decision-making and autonomous execution, rapidly increasing the demands on underlying AI infrastructure; Alibaba Cloud's modeling and computing capabilities will support NeoTrade in handling larger-scale and more complex autonomous trading tasks, and explore the application boundaries of AI Agents in real financial scenarios. An Alibaba Cloud spokesperson stated that they will support the development of NeoTrade through model services and computing capabilities, and continue to explore technological collaboration aimed at next-generation AI Agent applications with NeoSoul.

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.

BSC and 0G ecosystem's largest AI economic infrastructure project NeoSoul today announced the official launch of NeoTrade. NeoTrade is a universal intelligent trading workstation for traders, allowing users to directly define how the AI trading Agent operates and put it into action.Most existing automated trading products offer preset strategies. Traders seeking greater freedom typically need to develop and configure trading Agents themselves. NeoTrade brings this capability into a product interface designed for traders.Once the Agent is activated, it can process market information and execute trades 24/7. Fund usage follows rules pre-set by the user, and operations requiring approval will wait for user confirmation; users can also stop the Agent at any time.NeoTrade continuously displays the Agent's operational status and actual performance. Traders can adjust configurations based on market results, making each outcome the basis for the next adjustment.Kaelan, co-founder of NeoSoul, stated that the next step in Agentic Trading is to transform tasks that previously required engineering capabilities into products that traders can use directly. NeoTrade aims to lower this barrier, enabling more users with trading judgment to utilize trading Agents.As AI Agents move from assisting analysis to continuous execution, trading products are also transitioning from preset strategy tools to configurable intelligent systems. Those who can simultaneously solve for autonomous operation and fund control are becoming key competitors in the Agentic Trading product space.