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QuantDinger
Self-hosted AI quant OS for research, backtests & trading
QuantDinger v5.0.1 is an open-source, self-hosted AI quant operating system. Research markets with multiple LLMs, turn ideas into auditable Python strategies, run deterministic backtests, then move safely from paper to live execution across crypto, stocks and forex. Connect Cursor, Claude Code or Codex through 25 scoped MCP tools. Your strategies, credentials and trading data stay on your infrastructure. Already trusted by 10,000+ GitHub stars.
Hi Product Hunt 👋
I’m the maker behind QuantDinger.
I built it after getting tired of stitching together charts, notebooks, LLM chats, backtest scripts, and broker APIs—only to discover that research code and live code often behaved differently.
QuantDinger is an open-source, self-hosted AI quant operating system that lets you:
• Research markets with multiple AI models
• Turn ideas into auditable Python strategies
• Run deterministic backtests with saved code and configuration snapshots
• Move from paper trading to live execution through explicit safety controls
• Connect Cursor, Claude Code, and Codex through 25 scoped MCP tools
Privacy and safety are core to the product. Your strategies, credentials, and trading history stay on your infrastructure. The hosted environment is paper-only, live agent trading must be explicitly enabled on a self-hosted deployment, and agent activity is scoped and audited.
I’d especially love feedback from independent quants, Python strategy developers, and small research teams:
1. Is the path from idea → backtest → paper/live execution clear?
2. Which market or broker integration matters most to your workflow?
3. What evidence would you need before trusting an AI-assisted backtest?
You can try the hosted paper environment or self-host the stack from GitHub.
QuantDinger is research and trading infrastructure, not financial advice. Please start with paper trading.
Thanks for taking a look—I’ll be here to answer technical, security, and backtesting questions.
About QuantDinger on Product Hunt
“Self-hosted AI quant OS for research, backtests & trading”
QuantDinger was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #112 on the daily leaderboard. QuantDinger v5.0.1 is an open-source, self-hosted AI quant operating system. Research markets with multiple LLMs, turn ideas into auditable Python strategies, run deterministic backtests, then move safely from paper to live execution across crypto, stocks and forex. Connect Cursor, Claude Code or Codex through 25 scoped MCP tools. Your strategies, credentials and trading data stay on your infrastructure. Already trusted by 10,000+ GitHub stars.
On the analytics side, QuantDinger competes within Open Source, Fintech, Artificial Intelligence and GitHub — topics that collectively have 635.1k followers on Product Hunt. The dashboard above tracks how QuantDinger performed against the three products that launched closest to it on the same day.
Who hunted QuantDinger?
QuantDinger was hunted by Henry. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of QuantDinger including community comment highlights and product details, visit the product overview.
Henry