MCP Backtesting Dashboard

MCP Backtesting Dashboard

sahil-bt-dash.streamlit.app

A modular dashboard for equity strategy backtesting, integrating market data, news sentiment analysis, and strategy performance insights using a multi-adapter architecture.

##

Dashboard Home

Strategy Visualization

Interactive charts with several technical indicators.

Bollinger Bands Strategy

Strategy Insights & Analysis

Comprehensive performance analysis with intelligent insights and visualizations.

Strategy Insights

Features

• Multi-source data integration (market prices via yfinance, news scraping)
• Sentiment analysis integration
• Backtesting engine with Backtrader
• Pre-built trading strategies
• Strategy performance insights
• Interactive Streamlit dashboard

Setup

Prerequisites

• Python 3.8 or higher
• pip (Python package manager)

On WSL/Ubuntu, install python3-venv if needed:

sudo apt install -y python3.12-venv python3-pip

Installation

# Create virtual environment
python3 -m venv venv

# Activate virtual environment
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Configuration

Create a .env file for OpenAI API integration:

cp .env.example .env

Edit .env and add your OpenAI API key:

OPENAI_API_KEY=your_actual_api_key_here

Usage

Activate the virtual environment:

source venv/bin/activate

Run the Streamlit dashboard:

streamlit run app.py

Project Structure

├── app.py                 # Main Streamlit application entry point
├── requirements.txt       # Python dependencies
├── .env.example          # Environment variables template
│
├── adapters/              # Data source adapters
│   ├── yfinance_adapter.py
│   ├── news_adapter.py
│   └── sentiment_adapter.py
│
├── strategies/            # Trading strategies
│   └── prebuilt.py
│
├── backtest/              # Backtesting engine
│   └── engine.py
│
├── llm/                   # LLM integration
│   └── openai_client.py
│
├── utils/                 # Utility modules
│   ├── data_fetchers.py   # Data fetching orchestration
│   └── ui_components.py   # UI rendering components
│
├── config/                # Configuration files
│   └── static_flows.py    # Pre-configured demo scenarios
│
├── tests/                 # Test files
│   ├── test_adapters.py
│   ├── test_engine.py
│   ├── test_openai.py
│   └── ...
│
└── images/                # Screenshots and assets
    ├── BacktestDash-Home.png
    ├── BacktestDash-Bollinger.png
    └── BacktestDash-StrategyInsights.png

Dependencies

• Market data: yfinance
• Backtesting: Backtrader
• News scraping: BeautifulSoup, requests