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LangAlpha

MCP.Pizza Chef: ginlix-ai

This is a full financial research application you run yourself, pairing a web dashboard and a command-line tool with an AI agent that remembers your work. Create a workspace for each research goal, and it saves notes, charts, and past analysis so you can pick up where you left off days later. It can build valuation models, draft earnings summaries and market notes, screen for trade ideas, and watch prices to alert you when a target is hit. You'll need your own AI provider key (OpenAI, Claude, or Gemini) and comfort running software on your own server.

Data
Web/Research
Writing

Use This MCP client To

Track my investment research on one topic for weeks, not one chat Get five paired long and short stock trade ideas to review Build a valuation model for a company I'm studying Draft an earnings summary or a morning market note Set an alert for when a stock hits my target price Ask my research questions from Slack, Discord, or Telegram Upload my own research notes and PDFs for it to reference

README

LangAlpha
A vibe investing agent harness
LangAlpha is built to help interpret financial markets and support investment decisions.

Python 3.13+ LangChain License

English ｜ 简体中文 ｜ 日本語

Getting Started • API Docs • Agent Core • Backend • Web • TUI • Skills • MCP

langalpha-demo-1600.mp4

Pin a curated news brief from the dashboard, kick off idea generation, and dispatch parallel subagents to screen the market — then get five long/short pair-trade ideas in an inline interactive dashboard, calibrated to your book.

Why LangAlpha

Every AI finance tool today treats investing as one-shot: ask a question, get an answer, move on. But real investing is Bayesian — you start with a thesis, new data arrives daily, and you update your conviction accordingly. It's an iterative process that unfolds over weeks and months: refining theses, revisiting positions, layering new analysis on top of old. No single prompt captures that.

From vibe coding to vibe investing

LangAlpha FAQ

Can I use this to research stocks and build an investment thesis over time?
Yes — you create a workspace for each research goal, and it keeps your notes, files, and past analysis there so you can return to it days or weeks later instead of starting over.
Can I use this to get trade ideas?
Yes — it can screen the market and hand you a short list of paired long and short trade ideas based on your portfolio, though you should treat these as a starting point for your own research rather than financial advice.
Do I need a coding background to set this up?
Yes — this is software you run yourself on your own computer or server, so getting it working takes some technical comfort rather than a simple settings menu.
Do I need an account or a special key to use it?
Yes, you provide your own key from an AI provider such as OpenAI, Claude, or Gemini, since LangAlpha connects to whichever provider you choose rather than including one built in.
Which apps can I use it from?
It comes with its own web dashboard and a command-line tool, and you can also chat with it through Slack, Discord, Telegram, or Feishu, with results emailed to you for scheduled tasks.
Can it read my own documents and notes?
Yes — you can add PDFs and markdown notes to its memory folder, and it will read them when answering your questions.
Will it place trades for me automatically?
No — it is built to help you research and analyze the market, not to execute trades on your behalf.
Can it keep working on a task while I do something else?
Yes — you can hand it a task, let it run in the background, and check back later for results, or send a follow-up message to redirect it while it is still working.