AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
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QuantDinger is an MCP server that AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 34/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"quantdinger": {
"env": {
"QUANTDINGER_BASE_URL": "http://localhost:8888",
"QUANTDINGER_AGENT_TOKEN": "qd_agent_xxxxxxxx"
},
"args": [
"quantdinger-mcp"
],
"command": "uvx"
}
}
}Are you the author?
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Try in 2 minutes · Why QuantDinger · Safety model · Technical highlights · Repositories · AI agents & MCP · Overview · Features · Visual tour · Architecture · Install · Docs · FAQ · License
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Open-source AI Trading OS
Turn trading ideas into Python strategies, backtests, paper trading, live execution, and monitoring — all in one self-hosted stack.
QuantDinger is a product of Open Byte Inc.
AI research → Strategy code → Backtest → Paper/Live execution → Monitoring
English · 简体中文 · API · AI Agents & MCP
Live App · Website · Video Demo · Official Support Email
SUPPORTED BY
QuantDinger can submit real orders when live trading is explicitly enabled. Start with paper trading, use restricted API keys, and review the risk and compliance requirements for your jurisdiction. This project does not provide investment advice.
QuantDinger is an open-source AI Trading OS for independent traders, Python strategy authors, and small teams. Its local-first, self-hosted design keeps market data, strategy code, broker credentials, and deployment under the operator's control.
The project combines: