AI Trading Tools & Quant Analysis Applications

Anthropic introduces Claude Code’s “Routines” feature, allowing developers to trigger AI tasks through scheduling, API calls, or Webhook events, automatically running in the cloud without needing to keep a machine powered on. Routines supports scheduled execution, API requests, and listening for external events, aiming to boost automation in development workflows and integrate with existing capabilities so the AI can carry out tasks unattended.

LinkLayerAI, a renowned AI-led Web3 platform, has collaborated with Quantra RWA, a popular Web3 infrastructure firm for real-world assets (RWAs). The collaboration aims to combine RWAs with cutting-edge on-chain intelligence. As LinkLayerAI mentioned in its official social media announcement, the

B.AI LLM Services has exceeded 1 million users, showcasing its ability to manage high throughput with a privacy-first routing architecture, as it develops infrastructure for an autonomous agent economy.

Tether has launched its self-custody digital wallet, “tether.wallet,” marking a major expansion to end users. The wallet streamlines the transfer process, allowing users to pay transaction fees directly with their assets, and emphasizes users’ complete control over their private keys. The product is designed to promote financial inclusion, especially for people who are not served by traditional financial systems.

American Express rolls out a merchant business development toolkit, promising transaction protection for erroneous purchases generated by AI agents, and strengthening existing dispute-resolution mechanisms. Several payment companies are also paying attention to this area, while American Express explores the use of stablecoins in settlement applications.

Amidst its aim to advance trading efficiencies for crypto traders and investors, Echobit exchange, a next-gen cryptocurrency exchange designed to make trading simple, secure, and accessible to everyone worldwide, today entered into a significant collaboration with AIW3.AI, a decentralized

Gate News message, April 14, Alibaba’s AI assistant Qianwen under Alibaba’s umbrella launched the "Table Agent" feature, allowing users to directly generate and edit Excel files within a conversation. This feature enables users to ask Qianwen to retrieve information and then generate a table, also to organize multi-turn conversation content into a table, or to generate a table based on images or files. The system typically outputs a downloadable Excel file within 1-2 minutes, without needing any copy-and-paste again, and supports modifications through natural language.

Google AI developer relations lead Logan Kilpatrick announced the launch of a prompt auto-completion engine called “Tab Tab Tab,” aiming to improve developers’ interaction experience in the Vibe Coding interface of AI Studio. This feature uses Gemini to automatically suggest more complete instructions, enabling developers to express vague ideas more precisely, improving instruction quality, overcoming the bottleneck of humans providing instructions, and strengthening Google AI Studio’s competitiveness within the toolchain.

Gate founder Dr. Han introduced the platform’s development in the anniversary public letter, including deepening the AI ecosystem and a multi-asset trading framework. Gate is building an AI product ecosystem and has launched a TradFi trading section, covering multiple asset types to meet users’ needs. In addition, it has rolled out a digital Pre-IPOs participation mechanism, giving users a new way to access high-quality public offering projects. Going forward, Gate will continue to strengthen its infrastructure and enhance users’ global digital asset trading experience.

A Markdown file named CLAUDE.md, based on observations and principles provided by Andrej Karpathy, helped the Claude Code project break 15,000 stars on GitHub. This document sets behavioral guidelines for common mistakes LLMs make when writing code, emphasizing goal-driven behavior, confirming requirements, and proactively disclosing trade-offs. It reflects developers’ focus on engineering AI behavior, and may even be more effective than choosing a more powerful model.

Starbucks CEO Brian Niccol unveiled two AI systems at the Dreamforce conference: “Green Dot” and “Smart Q.” The former acts as a real-time assistant for store employees, while the latter solves order mix-up issues to improve service efficiency. In the future, the Starbucks app will be able to predict what customers order, enabling more convenient drink preparation. This series of AI deployments is intended to strengthen Starbucks’ role as a social space for people.

Bitcoin mining companies are facing profit pressure after the halving and challenges in power supply. Major operators are shoring up capital management through asset sales and seeking to diversify their energy-security arrangements. In addition, miners are turning to artificial intelligence infrastructure to improve operational flexibility. In the future, competitive advantage will belong to companies that can effectively manage debt and ensure long-term power supply.

Vitalik Buterin proposed a local AI architecture, emphasizing privacy, security, and self-sovereignty, and warned about the potential risks of AI agents. He suggested avoiding cloud-based models and setting five major security goals to protect personal data. Testing showed that the NVIDIA 5090 laptop is the best hardware choice, and he stressed that a local-first strategy is crucial to the security of today’s AI tools.

Vitalik Buterin proposes a local AI architecture, emphasizing privacy, security, and self-sovereignty, and warns about the potential risks of AI agents. He recommends avoiding cloud-based models and setting five major security goals to protect personal data. Testing shows that the NVIDIA 5090 laptop is the best hardware choice, and he stresses that a local-first strategy is crucial for the safety of today’s AI tools.

Collably Network has partnered with Origins Network to enhance AI-driven Web3 infrastructure. This collaboration aims to create scalable, decentralized solutions that improve efficiency, reduce costs, and allow for on-chain AI processing, reflecting a growing trend in blockchain innovation.

Starbucks CEO Brian Niccol said the company is moving forward with AI experiments, especially a system called “green dot,” which helps employees resolve device issues and drink preparation. In the future, Starbucks plans to improve the seamlessness and personalization of the ordering experience by using applications to predict users’ ordering needs.

At the Autoresearch Hackathon hosted by Paradigm, Ryan Li used AI to complete the problem-solving process and ultimately won the championship. He used multiple AI agents to automate research, generated more than 1,000 strategies, and successfully created an approximately 900-line Python market-making algorithm, demonstrating AI’s advantages in problem-solving. The competition emphasized AI’s exploration and decision-making capabilities, showing that it can serve as a core execution unit.

Zypher Network partners with MWX to merge AI and blockchain for enhanced prediction markets, providing actionable crypto signals. Their collaboration features a community giveaway for early access to MWX's Intelligence Hub, reflecting the increasing demand for AI-integrated decentralized finance tools.

Y Combinator CEO Garry Tan open-sourced the AI knowledge system GBrain, aiming to solve memory problems for AI assistants. GBrain uses a continuous “read → respond → write” loop, enabling AI to accumulate knowledge and deliver more personalized services. Its unique knowledge storage format and automated integration features can effectively manage information from a variety of data sources, and continue learning with each interaction. This reflects the venture capital industry’s emphasis on and demand for AI agent ecosystems.