ygwyg

ygwyg / MAHORAGA

Public

autonomous trading agent powered by social sentiment analysis and ai that learns, grows, and adapts

mahoraga.dev
772
167
100% credibility
Found Feb 02, 2026 at 304 stars 3x -- 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 AI-powered autonomous trading agent that monitors social sentiment from StockTwits and Reddit, analyzes signals with LLMs, and executes trades via Alpaca brokerage with a monitoring dashboard.

How It Works

1
🔍 Discover MAHORAGA

You find this smart trading helper on GitHub that watches social chatter and uses AI to spot good trades.

2
📝 Sign up for free accounts

Create accounts at a broker like Alpaca for trading and an AI service like OpenAI for smart analysis.

3
🔗 Connect your accounts

Link your broker and AI service securely so the helper can check prices and think about trades.

4
🚀 Launch online

Push a button to send your trading assistant live on the internet where it runs 24/7 without your computer.

5
📊 Customize in dashboard

Open the colorful screen to adjust trade sizes, risks, and preferences just how you like.

6
🔔 Watch it work

See live updates of social buzz scanning, AI insights, and automatic trades with safety checks.

💰 Enjoy smart trading

Relax as your portfolio grows with alerts for big moves, paper practice, and emergency stops anytime.

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Star Growth

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AI-Generated Review

What is MAHORAGA?

MAHORAGA is an autonomous trading agent in TypeScript that runs 24/7 on Cloudflare Workers, scraping social sentiment from StockTwits, Reddit, and Twitter to spot signals. It feeds data to LLMs like GPT-4o, Claude, or Grok for analysis, then auto-executes trades on Alpaca for stocks, options, or 24/7 crypto like BTC/ETH/SOL. Users get a React dashboard for monitoring, Discord alerts on buys, paper trading mode, and API endpoints like /agent/status for control.

Why is it gaining traction?

With 484 stars, it hooks devs via dead-simple deploy to Cloudflare's free tier—no servers needed—and flexible LLM swapping via AI SDK or Cloudflare Gateway. Safety nets like kill switch, staleness exits, and policy checks make it production-ready for experiments, unlike brittle bots that crash on sentiment noise. The customizable harness and pre-market plans deliver real autonomous trading ai without constant tweaks.

Who should use this?

Quant hobbyists backtesting social sentiment strategies, indie devs building automated trading platforms on Alpaca, or AI tinkerers exploring autonomous trading bots with options/crypto support. Ideal for those deploying serverless autonomous systems github prototypes that need Discord hooks and live dashboards.

Verdict

Grab it for educational autonomous trading agent fun—excellent README quickstart, dashboard, and tests on core policy—but 1.0% credibility score and modest stars signal early maturity; paper trade religiously first. Fork and tune for your edge.

(198 words)

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