# QuantDinger Launch Materials

## One-liner

> Tell AI your trading idea, get a Python strategy, backtest it, and go live — all self-hosted on your own server.

## Tagline (Product Hunt)

**AI-native quantitative trading platform — from idea to live trading in minutes, not months.**

## Short Description (200 chars)

QuantDinger turns your trading ideas into automated strategies using 7 AI agents. Describe what you want in plain language, backtest with real data, and deploy to 10+ exchanges. Self-hosted, open source.

## HN "Show HN" Title

Show HN: QuantDinger – Self-hosted AI trading platform (idea → strategy → backtest → live)

## HN Comment Body

```
Hey HN,

I built QuantDinger because I was tired of paying $200+/mo for trading platforms 
that lock you into their ecosystem. It's a self-hosted, open-source quantitative 
trading platform where you describe your strategy in natural language, AI writes 
the Python code, you backtest it, then deploy to live trading.

Key features:
- 7 specialized AI agents (analysis, strategy generation, risk management, ...)
- Supports 10+ exchanges (Binance, Bybit, OKX, Gate, IBKR, MT5, ...)
- Full Python strategy editor with backtesting
- Global market dashboard with real-time heatmaps
- Prediction market analysis (Polymarket)
- Docker one-click deployment

Stack: Flask + Vue 2 + PostgreSQL + Redis

Self-hosted means your API keys, strategies, and alpha never leave your machine.

Live demo: https://ai.quantdinger.com
GitHub: https://github.com/brokermr810/QuantDinger

Would love feedback on the UX and what data sources / exchanges you'd like to see next.
```

## Key Screenshots to Prepare

1. AI Analysis page with heatmap + watchlist
2. Strategy generation flow (natural language → Python code)
3. Backtesting results chart
4. Live trading dashboard
5. Global market overview with world map

## Product Hunt Makers Comment

```
Hi everyone! 👋

I'm excited to share QuantDinger — a project born from frustration with 
expensive, closed-source trading platforms.

The core idea: you describe your trading strategy in plain English (or Chinese), 
and our AI agents handle the rest — writing Python code, backtesting against 
real market data, and managing live execution.

What makes us different:
✅ Fully self-hosted (your keys, your data, your alpha)
✅ Open source (Apache 2.0)
✅ Docker one-click deployment
✅ 10+ exchange integrations
✅ AI that actually writes executable trading code

We'd love your feedback — especially on the first-time user experience. 
What would make you try a self-hosted trading platform?
```
