#AI trading agent
240 related articles
·4 min
Walsh Multi-Agent Trading System: How Risk Management Veto Power Ensures AI Autonomous Decision-Making Safety
Deep dive into the Walsh multi-agent trading system architecture, exploring how its risk management agent with veto power establishes safety boundaries for AI autonomous decision-making.
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·3 min
Vibe-Trading: The Rise and Practice of Open-Source AI Trading Agents
HKUDS's open-source Vibe-Trading gained nearly 1,000 GitHub stars in a day. This deep dive covers its LLM+Tool Calling architecture, core modules, and the risks of AI-driven trading agents.
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Tutorials·2 min
MCP Protocol in Practice: Building an AI Investment Analysis Agent with TradingView + Notion
A detailed guide on MCP protocol vs Skills, integrating TradingView and Notion MCPs to build an automated investment analysis Agent with market scanning, backtesting, and report generation.
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Tutorials·4 min
AI Trading Bot Battle Royale: Natural Selection Among 15 Agents to Find the Most Profitable
15 AI trading Bots each holding $1,000 compete live on Hyperliquid, with natural selection eliminating losers. Reveals real win rates, optimal strategies, and key risks of AI autonomous trading.
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Industry Insights·3 min
A2A Intelligent Trading Platform: A New Business Model Where AI Agents Automatically Take Orders and Earn Money
Deep dive into Yoyomit's A2A intelligent trading platform—the world's first marketplace where AI Agents automatically trade, take orders, and settle payments with 95% zero human intervention.
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Tutorials·2 min
The Complete Evolution of a Quantitative Trading System: From Multi-User Isolation to AI Trading Agent in Practice
A detailed walkthrough of a quant trading system's evolution: multi-user isolation, audit logging, strategy analysis, trading experience system, AI Agent decision-making, and LLM gateway design.
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·3 min
The Blind Spot of the AI Automation Era: Human Exhaustion Is the Greatest System Risk
From USS Lincoln sailor exhaustion to the core paradox of AI automation: technology efficiency scales infinitely, but human limits remain constant. Exploring on-call fatigue, cognitive load, and system reliability.
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·2 min
Samsung Support Agent Accidentally Pastes ChatGPT Prompt, Exposing How AI Customer Service Really Works Behind the Scenes
A Samsung support agent accidentally pasted a ChatGPT prompt into a customer chat, revealing how enterprise AI customer service really operates behind the scenes.
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·2 min
Soloop Review: An AI Agent Company Operating System for Solo Founders
Soloop is an approval-first AI agent OS for solo founders, using AI CEO, CTO, and CMO roles to help indie entrepreneurs go from idea to revenue while retaining decision-making control.
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·3 min
The AI Agent 95% Success Rate Trap: Why a Single Wrong Booking Should Block Your Release
A 95% average success rate for AI Agents can mask catastrophic silent failures. Learn why not all failures are equal and how to build evaluation systems focused on tool call verification, ambiguity testing, and expected business harm.
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·2 min
Gemini 3.5 Pro Leak Rumors: Deep Analysis of Release Timing and Strategic Direction
Reddit claims Gemini 3.5 Pro is deployed and ready for release, but prediction markets and community remain skeptical. Deep analysis of leak credibility, Google's AI strategy, and the Pro vs Flash debate.
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·3 min
Open Secure AI Alliance Launched: Building AI Safety on an Open-Source Foundation
The Open Secure AI Alliance launches with NVIDIA and other tech giants, building AI agent security through open-source model weights, safety evaluations, and frontier research for industry-wide standards.
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·2 min
Dynamic Workflows: A New Paradigm for AI-Driven Quantitative Strategies
Explore how dynamic workflows are transforming quantitative strategy development. From agent orchestration to adaptive strategy iteration, discover the potential and challenges of AI-driven workflows.
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·2 min
EdotEnv: Training LLMs to Master Scientific Reasoning Through a Quantitative Trading RL Environment
YC S26 startup EdotEnv builds a quantitative trading RL environment to train LLMs for exploratory research reasoning. Analysis of its technical path, core challenges, and commercial positioning.
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·3 min
Perplexity Comet's Declining Agent Capabilities: Why This AI Browser Is Becoming Timid
Perplexity Comet users report declining AI agent capabilities, with form-filling and automation tasks frequently refused. We analyze the causes from anti-automation detection, compliance risks, and model policy tightening perspectives.
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·2 min
GLEE Competition: A Detailed Guide to the NeurIPS 2026 Official Negotiation AI Challenge
NeurIPS 2026 GLEE Competition challenges AI agents to negotiate in real-time via natural language, covering bargaining, persuasion, and game strategies. Full guide on rules, approaches, and prizes.
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·2 min
Finyuus: A Deep Dive into the Code-First AI Workflow Governance Language
Deep dive into Finyuus, an open-source code-first AI workflow governance language built on Temporal with agent orchestration, Guards, human approvals, and Langfuse observability.
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·3 min
Driven: A Deep Dive into the AI Investment Agent That Connects the Entire Research-to-Execution Pipeline
Deep dive into Driven, the AI investment agent that connects the entire research-to-execution pipeline through 260+ API integrations, custom Skills, and Playbooks.
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·3 min
GitHub Daily · August 4th: Uber Open-Sources AI Agent Security Framework, Enterprise-Grade Agent Protection Takes Center Stage
Uber open-sources ADR, an enterprise AI Agent security framework gaining 140 stars in one day. Plus webpack, Deno, Angular, Tailwind CSS hold steady.
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·3 min
Tigriden: A 40MB Lightweight AI Development Workbench Redefining Human-AI Collaboration
Tigriden is a Rust-native desktop workbench using only 40MB of memory, designed for AI Agent collaboration. Its Diff Tracker and Time Machine help developers review AI code changes and roll back quickly.
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