AgentsOpen sourceApache-2.0
QuantDinger
Open-source "AI trading OS" combining agent trading with a strategy workbench
By OpenByte
Live GitHub metrics
Live GitHub data · Oct 11, 2026Stars
12,660
Stars · 7d
+238
Stars · 30d
+1,242
30d momentum
+10.9%
Forks
2,569
Open issues
47
Language
Python
Last push
2 days ago
Latest release v5.5.4 on Oct 6, 2026. Repository created Dec 28, 2025.
What it is
QuantDinger bundles LLM agents, a strategy editor, backtesting and broker connectivity into one self-hosted application. Its README leans on marketing language, so we track it for momentum and architecture rather than for any performance claim.
In the maintainers' words: “Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.”
Markets
- Crypto
- US equities
Tags
- Agent trading
- Strategy workbench
- Python
- Self-hosted
- #agent
- #alpaca
- #backtesting
- #binance
- #crypto
- #exchange
- #finance
- #fintech