ValueCell’s cover photo
ValueCell

ValueCell

Software Development

ValueCell is an agentic AI researcher that thinks, codes, and converts market insights into action—empowering investors

About us

The first open-source platform for financial agents.

Website
http://www.valuecell.ai/
Industry
Software Development
Company size
11-50 employees
Type
Self-Employed

Employees at ValueCell

Updates

  • ValueCell reposted this

    A kind member of our community just submitted ClawX to Product Hunt If ClawX has ever helped you with your daily work, development, or AI workflows, we'd be incredibly grateful for your support. Every vote, comment, and share helps us reach more people and continue improving the product. https://lnkd.in/d2uHhjmp Thank you for being part of the ClawX journey #ClawX #OpenSource #AI #ProductHunt

  • A kind member of our community just submitted ClawX to Product Hunt If ClawX has ever helped you with your daily work, development, or AI workflows, we'd be incredibly grateful for your support. Every vote, comment, and share helps us reach more people and continue improving the product. https://lnkd.in/d2uHhjmp Thank you for being part of the ClawX journey #ClawX #OpenSource #AI #ProductHunt

  • We’re excited to open source ClawX — a desktop AI workspace built for researchers, engineers, and infra teams running serious AI agent workflows. Built on OpenClaw, ClawX turns terminal-driven orchestration into a structured, visual, and reliable desktop experience. Manage agents, channels, skills, and scheduled tasks — without CLI friction or config overhead. AI agent infrastructure, in a workspace that respects your time. GitHub: https://lnkd.in/g8JViqHQ Official website: https://claw-x.com

  • Big update coming to #ValueCell. Here’s what’s next: • Full UEd upgrade — smoother workflows, cleaner interaction, more intuitive research experience. • Built-in coding capability — ValueCell can now generate code based on your question, pull additional data sources, and strengthen the depth of analysis automatically. For macro research and long time-span analysis, the improvement is significant. More structured. More data-backed. More research-grade. This is not just a UI refresh. It’s a capability upgrade. #ValueCell #AI #investing

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  • ValueCell Trading Challenge — $500 Reward! We’re kicking off a 2-week community trading challenge with a $500 cash prize up for grabs. How to join: 1️⃣Follow @valuecell and quote this post 2️⃣Download ValueCell from http://valuecell.ai 3️⃣Set up your virtual or live trading 4️⃣Share your results to the Leaderboard The trader with the highest ROI by the end of the event wins $500. 📅Event Period: Dec 8 – Dec 17 (UTC-4) Whether you're testing new strategies or running your live setup, now’s the time to show what your AI-powered trading can do. 🔥Let’s go. #ValueCell #crypto #web3 #Giveaway

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  • ValueCell reposted this

    📈 This is a great opensource platform showing a solid usecase of how LLMs, RAG+memory can be leveraged for live financial trading. 5.8K Github stars ⭐️ ValueCell is an open source multi agent platform for financial applications where a group of specialized AI agents can research markets, monitor portfolios, and execute trades inside 1 unified system that users run on their own machines. ⚙️ The Core Concepts are that ValueCell separates a user facing orchestrator from the individual agents, so planning, memory, storage, and routing live in a central controller while each agent process focuses only on its own financial job. The orchestrator receives the query from the user, streams partial responses back to the browser, supports human in the loop corrections, and can push notifications later when an agent finishes a long running task. Under that controller, an Agent Clients layer speaks a common A2A protocol to external agent frameworks such as LangChain and Agno. Means the same ValueCell core can host agents written with different toolkits without adding new plumbing every time. Out of the box the platform ships with 3 main agents, a DeepResearch Agent for fundamental and document analysis, a Strategy Agent for multi asset trading strategies, and a News Retrieval Agent that can track topics and send scheduled news updates. The DeepResearch Agent automatically retrieves filings and other fundamental documents, analyzes them into structured insights, and then uses large language models to produce interpretable summaries instead of raw dumps of text, which is where the project leans on retrieval augmented generation ideas backed by an embedding powered memory store. The Strategy Agent is wired for multiple crypto assets and multiple strategies at once, so it can translate natural language trading logic into executable orders and run them continuously while logging every decision and trade. The News Retrieval Agent behaves like a lightweight scheduler, for example a user can say they want Tesla news every 5 minutes, confirm the schedule, and then see a stream of timestamped headlines and summaries arrive in the chat panel with the option to cancel the job later. Underneath these agents, ValueCell normalizes access to several LLM providers, right now OpenRouter, SiliconFlow, Google, and OpenAI, so the same agent code can run against different model backends simply by changing environment variables in the `.env` configuration. You can configuring OpenRouter together with any provider that exposes embedding models, because that combination gives fast model switching plus RAG+Memory features for storing vector representations of documents and conversations that agents can recall later.

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  • Meet ValueCell — an open-source financial AI makes market research simpler, smarter, and sharper ✨ Key Features: Real-time Market Tracking: Follow major indices and customize your own watchlist with live U.S. stocks, A-shares, and crypto prices. Smart News Agent: Automate news updates with simple commands like “Send me Tesla news every minute.” Financial Report Analysis: Get instant breakdowns and insights from company earnings reports. AI Trading Simulation: Watch multiple AI models compete in crypto trading simulations. Chat History: Revisit your past research anytime. ValueCell — Agents. Alpha. Advance. #fintech #investing #opensource #valuecell #aitrading #stocks

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