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ValueCell

Stale
GitHub Python Apache-2.0

Description

ValueCell is a community-driven multi-agent platform for financial applications, enabling collaborative financial analysis, trading strategies, and market research through multi-agent orchestration.

Key Features

  • Multi-agent system with specialized agents: DeepResearch, Strategy, and News Retrieval
  • Live trading integration with Binance, OKX, Hyperliquid, and more exchanges
  • Multiple LLM provider support: OpenRouter, SiliconFlow, Azure, OpenAI, DeepSeek
  • All sensitive data stored locally on device for core data security
  • A2A Protocol compatibility with Langchain and Agno for framework integration

Use Cases

💡 A-share and global market deep research with automated document analysis
💡 Automated crypto trading with configurable multi-strategy execution
💡 Personalized real-time news tracking for investment-relevant information
💡 Building custom financial analysis workflows by combining multiple specialized agents

Strengths & Limitations

✅ Strengths

  • • High community interest (11.0k stars)
  • • Permissive open-source license (Apache-2.0)
  • • Responsive to issues, low backlog

Tags

multi-agent finance trading agent-framework python

Categories

🧠 Multi-Agent

Quick Start

Download the latest release from https://github.com/ValueCell-ai/valuecell/releases for MacOS or Windows, then configure your AI model API key and exchange credentials in the app.
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