souvik131
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quant feed

Quant Feed 是一个提供 17 种高级金融分析工具的 API,支持历史数据、技术指标、风险管理等功能。

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TypeScript
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-
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About This Server

Quant Feed 是一个提供 17 种高级金融分析工具的 API,支持历史数据、技术指标、风险管理等功能。

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

Quant Feed MCP Integration Guide

Get powerful financial analysis tools directly in Claude Desktop with just one simple configuration!

What is Quant Feed?

Quant Feed is a comprehensive financial analysis API that provides 17 advanced tools for:

  • 📈 Historical data analysis
  • 📊 Technical indicators (RSI, MACD, Bollinger Bands, etc.)
  • 🎯 Risk metrics (Sharpe ratio, VaR, drawdown analysis)
  • 💼 Portfolio optimization and allocation
  • 🔍 Correlation analysis and seasonal patterns
  • ✅ Data quality validation

📸 Example Screenshots

!Quant Feed Example 1

!Quant Feed Example 2

!Quant Feed Example 3

!Quant Feed Example 4

!Quant Feed Example 5

!Quant Feed Example 6

🎥 Setup Video Tutorial

Watch the complete setup process: Setup Tutorial

🚀 Quick Setup (2 Minutes)

Step 1: Install Claude Desktop

Download and install Claude Desktop from claude.ai

Step 2: Configure Claude Desktop

  1. Open Claude Desktop
  2. Go to Settings → Developer → Edit Config
  3. Add the following configuration to your claude_desktop_config.json:
{
  "mcpServers": {
    "quant-feed": {
      "command": "npx",
      "args": ["mcp-remote", "https://quant.tradingalgo.in/sse"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Step 3: Start Using!

That's it! Restart Claude Desktop and you can now use powerful financial analysis directly in Claude.

💡 Example Usage

Once configured, you can ask Claude things like:

📊 Basic Analysis

"Get historical data for AAPL for the last 100 days"

"Calculate RSI for Tesla stock"

"Show me correlation between Apple and Microsoft"

📈 Advanced Analysis

"Analyze risk metrics for my portfolio: AAPL:40, GOOGL:30, MSFT:30"

"Optimize a portfolio with AAPL, GOOGL, MSFT, TSLA"

"Show seasonal patterns for SPY over the last year"

"Calculate Bollinger Bands for Bitcoin"

💼 Portfolio Management

"What's the Sharpe ratio for AAPL?"

"Analyze the correlation matrix for tech stocks: AAPL,GOOGL,MSFT,AMZN"

"Show me the efficient frontier for a 3-stock portfolio"

🛠️ Available Tools

📊 Basic Analysis (6 tools)

  • Historical Data: Get OHLCV data for any symbol
  • Symbol Search: Find stocks, crypto, forex symbols
  • Statistics: Calculate return statistics automatically
  • Correlation: Compare two assets
  • Technical Indicators: SMA, EMA, RSI, ATR
  • Data Quality: Validate data integrity

📈 Medium Analysis (5 tools)

  • Risk Metrics: Sharpe, Sortino, Max Drawdown, VaR, CVaR
  • Portfolio Metrics: Beta, Alpha vs benchmark
  • Advanced Technical: Bollinger Bands, MACD, Stochastic
  • Distribution: Skewness, Kurtosis analysis
  • Correlation Matrix: Multi-asset correlation

🎯 Advanced Analysis (5 tools)

  • Seasonal Patterns: Day-of-week, month-of-year effects
  • Trend Analysis: Linear, polynomial, moving averages
  • Portfolio Optimization: Mean-variance optimization
  • Portfolio Allocation: Custom weight analysis

Quick Start

1

Clone the repository

git clone https://github.com/souvik131/quant-feed
2

Install dependencies

cd quant-feed
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownersouvik131
Repoquant-feed
LanguageTypeScript
License-
Last fetched8/10/2025

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