investbrainapp/investbrain

Smart LLM-enabled investment tracker that consolidates and monitors market performance across your different brokerages

What it solves

Investbrain is an open-source investment tracker designed to help users manage and track their portfolios and make informed investment decisions. It provides a centralized place to monitor holdings, track performance, and integrate market data.

How it works

Built as a Laravel PHP web application, Investbrain uses an extensible market data provider interface to fetch real-time stock market data from sources like Yahoo Finance, Twelve Data, Finnhub, Alpaca, and Alpha Vantage. It features a built-in fallback mechanism to ensure data reliability. For AI capabilities, it integrates with various LLM providers (OpenAI, Anthropic, Gemini, xAI, etc.) and local LLM runners like Ollama to allow users to chat with their specific investment holdings.

Who it’s for

Investors who want a self-hosted, open-source alternative to commercial investment trackers and developers who wish to extend the market data provider system.

Highlights

  • AI-Powered Chat Assistant: Grounded in the user's own investment data, acting as a thought partner for decision making.
  • Extensible Market Data: Support for multiple providers with a configurable fallback system and the the ability to create custom providers.
  • Data Portability: Built-in import and export features for portfolios and transaction data.
  • Self-Hosting: Easy deployment via Docker Compose.
  • Comprehensive Tooling: Command-line utilities for refreshing market data, dividends, and currency exchange rates.

Related

  • Project
    TNT-Likely/PanWatch

    A self-hosted AI investment assistant that integrates a multi-agent framework to provide real-time stock monitoring, deep research analysis, and automated alerts for global markets.

  • Project
    x-pai/AlphaBot

    AlphaBot is an open‑source, Docker‑deployable web app that combines a LLM‑driven chat assistant with real‑time market data (global via Alpha Vantage, Chinese A‑shares via Tushare/AKShare). It offers AI‑generated technical and fundamental analysis, chart visualisation, risk assessment, and simple quant‑strategy suggestions for retail investors.

  • Project
    ArvinLovegood/go-stock

    go‑stock is a Windows/macOS desktop app that combines real‑time stock data with LLM‑driven analysis, offering chart tools, AI agents, back‑testing, alerts, and a skill‑sharing system. It works with many LLM providers (OpenAI, local models, Chinese cloud models) and is GPL‑v3 licensed.

  • Project
    staskh/trading_skills

    An AI-powered market analysis tool that consolidates technicals, fundamentals, and portfolio management into a conversational interface for traders.

  • Project
    simonlin1212/Vibe-Research

    A local financial research workstation that uses AI agents to perform structured, evidence-based analysis of A-shares and global markets with full traceability of data and calculations.