QuantDinger

Overview

QuantDinger is a comprehensive self-hosted quantitative platform that combines AI-assisted research, Python-native strategies, backtesting, and live trading capabilities. It provides MCP server integration through its Agent Gateway, enabling AI agents to access market data, manage strategies, run backtests, and execute trades. The platform supports multiple brokers including crypto, IBKR stocks, MT5 forex, and Alpaca, with features like multi-user support, notifications, and billing systems. It offers both cloud-hosted and self-hosted deployment options with a prebuilt UI that requires minimal setup.

Try asking AI

After installing, here are 3 things you can ask your AI assistant:

• read_market_data

  Get market data for various assets including crypto, stocks, and forex

  Try:Show me the current BTC priceTry:Get stock market data for AAPLTry:Display EUR/USD forex rates
• run_backtest

  Execute a backtest on a trading strategy with historical data

  Try:Backtest my moving average strategy on ETH/USDTry:Run a backtest for my RSI strategy on Apple stockTry:Test my forex strategy with historical data
• create_strategy

  Create a new trading strategy using Python or built-in indicators

  Try:Create a strategy that buys when RSI is below 30Try:Build a moving average crossover strategyTry:Generate a mean reversion strategy for forex trading
• analyze_asset

  Perform AI analysis on an asset with insights and predictions

  Try:Analyze Bitcoin for potential trading opportunitiesTry:Provide insights on Tesla stock fundamentalsTry:Analyze forex market trends for USD/JPY
• execute_trade

  Execute paper trading orders on various exchanges

  Try:Place a buy order for 0.1 BTC at current market priceTry:Sell 100 shares of AAPL at market priceTry:Open a long position for EUR/USD with 5x leverage
• list_strategies

  List all available trading strategies in the system

  Try:Show me all my trading strategiesTry:List available strategies for backtestingTry:Display all active trading bots
• get_performance_metrics

  Retrieve performance metrics for a strategy or portfolio

  Try:Show me the performance metrics of my BTC strategyTry:Calculate Sharpe ratio for my portfolioTry:Display drawdown analysis for my trading strategy
• optimize_parameters

  Optimize strategy parameters using historical data

  Try:Optimize my moving average parameters for best resultsTry:Find the best RSI settings for my strategyTry:Tune my MACD strategy parameters for maximum returns
• create_watchlist

  Create a watchlist to monitor specific assets

  Try:Create a watchlist for my crypto assetsTry:Set up a watchlist for tech stocksTry:Make a forex watchlist with major pairs
• get_indicator_values

  Get calculated indicator values for an asset

  Try:Calculate RSI for BTC with 14-day periodTry:Show me the moving averages for ETHTry:Display Bollinger Bands for S&P 500
• set_risk_parameters

  Configure risk management parameters for trading

  Try:Set my maximum position size to 2% of portfolioTry:Configure stop-loss at 5% below entry priceTry:Set my daily loss limit to $1000
• query_market_opportunities

  Query AI-generated market opportunities and insights

  Try:Show me today's market opportunitiesTry:Find undervalued stocks in the tech sectorTry:Identify forex pairs with strong momentum

Note: Inferred from MCP server documentation and AI integration section. The actual tool names and parameters are not explicitly listed in the README but are implied from the MCP server functionality and agent gateway capabilities.

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Installation

git clone https://github.com/brokermr810/QuantDinger.git && cd QuantDinger && cp backend_api_python/env.example backend_api_python/.env && chmod +x scripts/generate-secret-key.sh && ./scripts/generate-secret-key.sh && docker-compose up -d --build

{
  "mcpServers": {
    "quantdinger": {
      "command": "uvx",
      "args": ["quantdinger-mcp"],
      "env": {
        "QUANTDINGER_BASE_URL": "http://localhost:8888",
        "QUANTDINGER_AGENT_TOKEN": "qd_agent_xxxxxxxx"
      }
    }
  }
}

On Hacker News

Recent discussion from the developer community.

• Show HN: QuantDinger – A local-first, open-source AI quant trading workspace▲ 2💬 2
  Story by quantdinger · 2026-01-02

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