Rezzecup

Rezzecup / AlpacaTradingAgent

Public

Multi-agent trading desk on Next.js — Alpaca paper trading, NDJSON pipeline, OpenAI-ready mocks

algorithmic-trading alpaca dashboard finnhub fred-api
25
0
100% credibility
Found Apr 14, 2026 at 25 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An open-source web app providing a simulated trading dashboard with AI agent analysis pipelines, charts, paper trading, and optional live data integrations using mock-first design.

How It Works

1
🔍 Discover the trading playground

You stumble upon this fun open-source dashboard that lets you simulate AI-powered stock and crypto analysis right in your browser.

2
💻 Get it running locally

Download the project and start it on your computer in minutes—no fancy setup needed, just open and play with fake market data.

3
📝 Pick your stocks or coins

Type in symbols like NVDA or BTC/USD, pick a date, and tweak how the agents think.

4
🚀 Launch the multi-agent analysis

Hit the button and watch five AI analysts, bull/bear debates, risk checks, and a final trade signal stream live on screen—feels like a real trading floor!

5
📊 Explore charts and insights

Check price charts, account snapshots, event logs, and tab through market news, sentiments, and decisions.

6
Choose your trading style
🛡️
Stay with mocks

Everything works offline with realistic fake data—perfect for learning without risk.

🔌
Link real services

Add connections to AI thinkers or market watchers for fresh, real-world updates.

7
💰 Practice paper trades

Place pretend buy/sell orders, see your portfolio update, and test strategies safely.

🎉 Your personal trading desk is alive!

You now have a dynamic simulator for market analysis, debates, and trading practice—educational fun without real money on the line.

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Star Growth

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AI-Generated Review

What is AlpacaTradingAgent?

AlpacaTradingAgent is a Next.js trading dashboard that simulates a multi-agent LLM desk for analyzing stocks or crypto like NVDA or BTC/USD, streaming NDJSON pipelines with analyst reports, bull/bear debates, risk checks, and trade signals. It handles Alpaca paper trading via dry-run orders or live submits, plus charts, quotes, and account snapshots—all with OpenAI-ready mocks for offline testing before plugging in real APIs. TypeScript-powered, it delivers a three-column UI for progressive updates without needing keys upfront.

Why is it gaining traction?

In the crowded alpaca trading agent github and multi agent trading github scene, it hooks devs with mock datasets mirroring real tools (Finnhub news, FRED macro), so you prototype UIs instantly—no API hunting. Streaming debates and configurable pipelines (parallel analysts, debate rounds) make multi agent llm trading feel alive, unlike bare GitHub Copilot multi agent systems. REST endpoints like POST /api/analyze and GET /api/tools speed custom integrations.

Who should use this?

Fintech frontend devs mocking trading desks, AI builders testing multi agent trading systems for stocks/crypto, or indie quants visualizing LLM agent orchestration without LangGraph boilerplate. Ideal for rapid prototypes of multi agent stock trading bots.

Verdict

Worth forking for multi-agent trading framework experiments—25 stars and 1.0% credibility reflect early maturity, but strong tests, docs, and mock coverage make it reliable for play. Scale it up for prod.

(198 words)

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