VolForge Backtesting Kit — Desktop App

Point. Click. Backtest.

The power of Python backtesting with the simplicity of a web app.

The VolForge Backtesting Kit (Desktop App) is a professional-grade backtesting framework with a modern Streamlit interface. Interactive charts, visual analysis, no command line required.

What's Inside

📁 ~3,100 Lines of Production Python

🎨 Modern Visual Interface

Built with Streamlit + Plotly for a premium experience:

• Dark theme — Easy on the eyes, VolForge teal accents
• Interactive charts — Zoom, pan, hover for details
• Tabbed layout — Equity curve, trades, analysis, log
• Drag & drop — Upload your own CSV data
• Session history — Compare multiple backtests
• Real-time updates — See results as they calculate

📊 Interactive Plotly Charts

Equity Curve Tab

• Portfolio value over time
• Drawdown visualization
• Hover for exact values at any point

Trade Analysis Tab

• Entry/exit markers on price chart
• Win/loss distribution
• P&L histogram
• Monthly returns heatmap

Metrics Dashboard

• Key stats at a glance
• Color-coded performance indicators
• Comparison with Buy & Hold

🎯 12 Built-In Strategies

Same powerful strategies as Terminal Edition:

• SMA Crossover (10/30, 20/50)
• EMA Crossover (12/26)
• Triple EMA
• RSI Strategy
• MACD Strategy
• Bollinger Bands
• Stochastic Strategy
• ATR Breakout
• Trend Following Multi
• Mean Reversion Multi
• SMA Cross with Risk Management
• Buy & Hold Benchmark

📈 15+ Technical Indicators

• SMA, EMA, WMA
• RSI, Stochastic, MACD
• Bollinger Bands, ATR, ADX
• OBV, VWAP
• And more...

⚡ Features

✅ No Monthly Fees — One-time purchase ✅ Runs Locally — Your data stays on your machine ✅ Yahoo Finance Integration — Any ticker, any timeframe ✅ CSV Upload — Drag & drop your own data ✅ Interactive Charts — Zoom, pan, export ✅ Session History — Track multiple backtests ✅ Comprehensive Metrics — Everything you need ✅ Extensible — Full source code included

🚀 Quick Start

# Install dependencies

pip install -r requirements.txt

# Launch (opens browser automatically)

python run.py

The app opens in your default browser. Select strategy, enter ticker, click "Run Backtest."

Who This Is For

• Visual traders who prefer charts over tables
• Analysts creating reports and presentations
• Beginners who want a friendly interface
• Anyone who prefers clicking over typing

Requirements

• Python 3.8+
• pandas, numpy, yfinance, streamlit, plotly

FAQ

Is this a web service? No. It runs 100% locally on your machine. Nothing is sent to external servers (except Yahoo Finance API calls for price data).

Can I run it on a server? Yes! Streamlit can be deployed to any server. Great for team access.

What's the difference vs Terminal Edition? Same backtesting engine, different interface. Terminal = CLI for developers. Desktop App = GUI for visual analysis.