Entity trail

TauricResearch

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.
2026-05-09 / 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.
2026-03-21 / 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

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TradingAgents
TauricResearch released TradingAgents multi-agent LLM trading framework.
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TradingAgents
TauricResearch released TradingAgents, a multi-agent LLM trading framework.
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TradingAgents
TauricResearch's TradingAgents is a multi-agent LLM trading framework.
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TradingAgents
TauricResearch/TradingAgents multi-agent trading framework
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TradingAgents -> TauricResearch
TauricResearch's TradingAgents is a multi-agent LLM trading framework.
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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

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