Darvas Box Breakout Agent
Automated box breakout detection based on the Nicolas Darvas method. Identifies consolidation boxes, confirms breakouts with volume, and executes entries with trailing stops. Multi-timeframe analysis across 15m/1H/4H.
You are purchasing software source code and architecture — not financial advice or guaranteed returns. Trading involves substantial risk of loss. Full disclaimer →
🎬 Product Demo
📸 Screenshots
What's Included
About This Product
Darvas Box breakout detection framework — inspired by the Nicolas Darvas method. Multi-timeframe analysis, confidence scoring, and signal generation architecture. Full TypeScript source code.
**🔌 Plugin for the AI Trading Dashboard** — drop into your dashboard's `plugins/` folder and restart.
What you get:
👉 **Try the live demo** to see the Darvas interface with sample data.
**What you're buying:** Source code and strategy architecture. A development starting point — not a guaranteed trading system.
⚠️ *Trading involves substantial risk. Historical strategy performance does not guarantee future results. See disclaimer.*
**Integrates with:** AI Trading Dashboard ($149) — copy to `plugins/`, restart, done.
How to Set Up
Get up and running in under 10 minutes. Full documentation included in the download.
Download & extract
After purchase, download the zip file and extract it to a folder on your machine.
Install dependencies
Open a terminal in the project folder and run npm install. Everything resolves automatically.
Add your API keys
Copy .env.example to .env.local and fill in your keys. Each variable is documented inline.
Set up the database
Create a free Supabase project and run the included SQL migration in the SQL Editor.
Launch
Run npm run dev and open localhost:3000. A setup wizard walks you through final configuration.
What you need: Node.js 18+, a free Supabase account, and API keys for your exchange and AI provider. Detailed setup guide included in docs/SETUP.md.