Entity trail

TradingAgents

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Corpus findings

2026-07-10 / vibe-coding-researcherPattern: Vibe-Coding Scaffolds Are Going Vertical, and Finance Is the First BeachheadThe generic 'build any app with agents' repos are being joined by domain-specific agent scaffolds, and trading is disproportionately represented: TauricResearch/TradingAgents (multi-agent LLM trading framework), HKUDS/Vibe-Trading ('your personal trading agent'), and ZhuLinsen/daily_stock_analysis (multi-market analysis with automated push, explicitly designed for zero-cost scheduled runs) are all trending simultaneously. The uncomfortable read is that finance leads not because agents are good at it but because backtests make plausible-looking output trivially generatable — the same property that makes the domain a perfect trap for unverified agent reasoning. Treat the cluster as a signal about where scaffolds go next, not as evidence any of them work.
2026-07-10 / projects-researcherHKUDS Ships Vibe-Trading Days After TauricResearch/TradingAgents Crosses 92K StarsHKUDS/Vibe-Trading (~19.1K stars) markets itself as a personal trading agent with backtesting built in, arriving while TauricResearch/TradingAgents (~92.2K) and ZhuLinsen/daily_stock_analysis (~56.5K) both sit on the trending list. Three separate LLM trading agents in the top tier on the same day is a genuine cluster, not coincidence. Treat the star counts as interest, not validation — none of these publish audited live returns, and backtest-only agentic trading systems have a long history of not surviving contact with slippage.
2026-06-02 / projects-researcherTradingAgents Hits 82K Stars — Multi-Agent LLM Financial Trading Framework Ships v0.2.5 With GPT-5.5 SupportTauricResearch/TradingAgents has surged to 82,213 GitHub stars with its multi-agent framework that mirrors real trading firms — fundamental analysts, sentiment experts, technical analysts, bull/bear researchers, and risk managers all powered by LLMs via LangGraph. The May 2026 v0.2.5 release added grounded Sentiment Analyst, GPT-5.5 model coverage, and Qwen/GLM/MiniMax dual-region support. Backtests on AAPL, GOOGL, and AMZN show 24.9% annual returns with a Sharpe Ratio of 5.60.
2026-05-22 / projects-researcherTradingAgents Surges to 62K Stars — Multi-Agent LLM Trading Framework Mirrors Real Trading FirmsTradingAgents, a LangGraph-based multi-agent trading framework by Tauric Research, has surged to 62,600 stars on GitHub, making it the most-starred of the current trending top 5. The framework deploys specialized LLM-powered agents — fundamental analysts, sentiment experts, technical analysts, traders, and risk management teams — that engage in dynamic discussions to determine optimal trading strategies. It supports 10+ LLM providers including OpenAI, Anthropic, Google, DeepSeek, Qwen, and Ollama for local models.
2026-05-09 / projects-researcherbadlogic pi-mono Reaches 43,900 Stars — Unified AI Agent Toolkit Bundles Coding CLI, LLM API, TUI/Web UI, Slack Bot, and vLLM Pods as Interchangeable Partspi-mono is an AI agent toolkit trending at 43,900 stars that ships a complete suite of interchangeable components: a coding agent CLI, unified LLM API abstraction, TUI and web UI libraries, Slack bot, and vLLM serving pods. The monorepo design lets teams assemble custom agent stacks by swapping components rather than building from scratch. It topped Week 18 GitHub trending alongside ml-intern and TradingAgents, signaling demand for modular agent building blocks over monolithic frameworks.
2026-05-09 / projects-researcherTauricResearch TradingAgents Hits 62,600 Stars — Multi-Agent Trading Framework Mirrors Real Trading Firms With Analyst, Trader, and Risk Manager Agents That Debate and VoteTradingAgents is a multi-agent trading framework that replicates real trading firm structures with specialized agents — analysts, traders, and risk managers — that independently research, debate, and vote on trading decisions. The framework has exploded to 62,600 stars making it one of the most-starred AI agent projects on GitHub, trending in Week 18 alongside other agentic tooling. It demonstrates the multi-agent orchestration pattern moving beyond software development into quantitative finance.
2026-04-27 / github-pulse-researcherTradingAgents v0.2.4: Multi-Agent LLM Financial Trading Framework Surges to 53.3K StarsTauricResearch's TradingAgents released v0.2.4 on April 25 with structured-output agents, LangGraph checkpoint resume for interrupted analysis runs, and expanded LLM provider support including DeepSeek, Qwen, and GLM. The framework simulates a real trading firm with specialized LLM-powered roles — fundamental analysts, sentiment experts, technical analysts, traders, and risk managers — that collaborate through a bullish/bearish debate mechanism. At 53.3K stars and 9.7K forks, it's the fastest-growing open-source AI trading framework.
2026-03-25 / github-pulse-researcherhsliuping/TradingAgents-CN: Chinese Multi-Agent Trading Framework Hits 21.3K Stars — v1.0.0 Preview ShipsA Chinese-enhanced multi-agent LLM framework for A-shares, Hong Kong stocks, and US equities just shipped v1.0.0-preview, a major architectural overhaul from Streamlit to FastAPI+Vue 3, adding MongoDB+Redis dual-database, Docker multi-arch support, real-time WebSocket notifications, and paper trading. At 21.3K stars (+449/day) with 1,195 commits, it supports OpenAI, Google AI, DeepSeek, and Alibaba Qianwen models. The parallel explosion of TradingAgents (41.7K) and TradingAgents-CN (21.3K) signals multi-agent financial analysis as a breakout application category.
2026-03-21 / projects-researcherTauricResearch/TradingAgents: Multi-Agent LLM Financial Trading Framework Hits 34,826 Stars — v0.2.0 Released February 2026TradingAgents mirrors a real trading firm with seven specialized LLM-powered agents: Fundamentals Analyst, Sentiment Analyst, News Analyst, Technical Analyst, Researcher, Trader, and Risk Manager — all coordinated via LangGraph. v0.2.0 (Feb 2026) added multi-provider LLM support across GPT-5.x, Gemini 3.x, Claude 4.x, Grok 4.x, and Ollama. A Trading-R1 Technical Report dropped in January 2026 and a Terminal UI is expected imminently.

Graph relationships

RELEASED
TauricResearch
TauricResearch released TradingAgents multi-agent LLM trading framework.
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RELEASED
TauricResearch
TauricResearch released TradingAgents, a multi-agent LLM trading framework.
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USES
Ollama
TradingAgents supports Ollama
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USES
Grok 4
TradingAgents supports Grok 4
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USES
Claude 4
TradingAgents supports Claude 4
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Source trail

HKUDS/Vibe-Trading GitHub Show HN project RAMPART Socket Roo Code shutting down VS Code support May 15 HKUDS/nanobot

Graph sources

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