Multi-Agentic-Club

Multi-Agentic-Club / AlpacaTradingAgent

Public

Multi-agent trading system | Alpaca

algorithmic-trading alpaca dashboard finnhub fred-api
24
328
100% credibility
Found Apr 08, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A browser-based dashboard for simulating multi-agent AI-driven stock and cryptocurrency analysis, complete with interactive debates, price charts, mock portfolios, and paper trading.

How It Works

1
🔍 Discover the trading playground

You find this fun dashboard on GitHub that lets you play with AI agents analyzing stocks and crypto like a pro trader.

2
💻 Start it on your computer

Download and launch the app with a simple command, and it opens in your web browser ready to go.

3
📊 See your trading desk

A beautiful screen appears with charts, panels for news, debates, and your fake portfolio – everything looks real and exciting.

4
🚀 Run the AI analysis

Type in stock symbols like NVDA or BTC, hit run, and watch the agents buzz with market insights, debates, and a buy/sell signal.

5
💬 Follow the agent conversations

Read the bull vs bear arguments, risk checks, and final decision – it feels like having a team of experts chatting live.

6
💰 Practice trades safely

Check your mock account balance, place pretend buy or sell orders, and see them fill instantly without real money.

✅ Master trading simulations

You now have a personal playground to test ideas, learn from AI signals, and build confidence before real trading.

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Star Growth

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AI-Generated Review

What is AlpacaTradingAgent?

AlpacaTradingAgent is a TypeScript dashboard for simulating multi-agent trading decisions via a streaming NDJSON pipeline, integrating Alpaca paper trading with mock data for instant fintech UI testing. Enter symbols like NVDA or BTC/USD, run analysts across market, news, sentiment, then watch bull/bear debates and risk checks yield BUY/HOLD signals—all without API keys initially. Built on Next.js and React, it offers live charts, account snapshots, and dry-run orders via POST /api/paper-order.

Why is it gaining traction?

Its mock-first approach lets devs prototype multi-agent LLM trading systems offline, bypassing API hurdles, while NDJSON endpoints like /api/analyze enable reactive UIs. Configurable debates and tool snapshots mimic claude multi-agent GitHub workflows or github copilot multi-agent systems, with seamless live fallbacks to Alpaca, Finnhub, OpenAI. Quick start—npm install, npm run dev—hooks experimenters building multi-agent trading bots.

Who should use this?

React devs prototyping algorithmic trading desks or stock dashboards with Alpaca. AI engineers testing multi-agent LLM financial trading frameworks, like debate-based stock signals. Quant teams needing a multi-agent trading GitHub playground for paper trades and macro analysis.

Verdict

With 24 stars and 1.0% credibility score, it's immature but functional—solid README, Vitest tests, Vercel-ready. Grab it for multi-agent trading system GitHub experiments; production users wait for more polish.

(198 words)

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