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Showing 3 open source projects for "trading system"

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  • Gen AI apps are built with MongoDB Atlas Icon
    Gen AI apps are built with MongoDB Atlas

    The database for AI-powered applications.

    MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
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  • Smarter Packing Decisions for Retailers and 3PLs Icon
    Smarter Packing Decisions for Retailers and 3PLs

    Paccurate is an API-first cartonization solution.

    Paccurate is the only patented cartonization solution that optimizes for transportation costs directly. So you can have the right boxes, and control how they're packed.
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  • 1
    Awakened PoE Trade

    Awakened PoE Trade

    Path of Exile trading app for price checking

    ...All that remains is to parse text in Awakened PoE Trade and show to you in a fancy way. Some functions don’t have hotkeys assigned by default to avoid conflicts on your system. You can set them and change default hotkeys in the Settings.
    Downloads: 14 This Week
    Last Update:
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  • 2
    Eliza

    Eliza

    Autonomous agents for everyone

    Build and deploy autonomous AI agents with consistent personalities across Discord, Twitter, and Telegram. Full support for voice, text, and media interactions. Built-in RAG memory system, document processing, media analysis, and autonomous trading capabilities. Supports multiple AI models including Llama, GPT-4, and Claude. Create custom actions, add new platform integrations, and extend functionality through a modular plugin system. Full TypeScript support.
    Downloads: 2 This Week
    Last Update:
    See Project
  • 3
    tribeca

    tribeca

    A high frequency, market making cryptocurrency trading platform

    tribeca is a very low latency cryptocurrency market making trading bot with a full-featured web client, backtester, and supports direct connectivity to several cryptocoin exchanges. On modern hardware, it can react to market data by placing and canceling orders in under a millisecond. Runs on the latest node.js (v7.8 or greater). Persistence is achieved using MongoDB. Installation is recommended via Docker, but manual installation is also supported.
    Downloads: 0 This Week
    Last Update:
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