GoldUSD Intelligence Dashboard

A professional-grade financial terminal built with Streamlit for analyzing, forecasting, and deriving insights from historical Gold-USD (XAU/USD) price data (2000–2026).

Live Demo

Check out the live dashboard here: [Your Streamlit URL]

Features

• ** Interactive Overview**: Deep-dive into 25+ years of historical price performance.
• ** AI Forecasting**: Statistical 30-day price projections using ARIMA models.
• ** Risk Analysis**: Real-time Drawdown calculations and Annualized Volatility tracking.
• ** Technical Analysis**: Professional indicators including RSI and Bollinger Bands.
• ** Investment Simulator**: "What-If" calculator to visualize historical returns and ROI.
• ** Engineering-First Design**: Containerized with Docker, backed by PostgreSQL, and features a robust CSV-fallback system.

How to Run Locally

Option 1: Docker (Recommended)

Launch the entire system (App + Database) with one command:

docker-compose up --build

Option 2: Basic Streamlit

Install dependencies and run directly:

pip install -r requirements.txt
streamlit run app.py

Project Structure

• app.py: Main dashboard UI and layout.
• analysis.py: Quantitative library (VOL, RSI, Bollinger).
• forecaster.py: Time-series forecasting logic.
• database.py: PostgreSQL connection and persistence layer.
• migrate_to_db.py: Automated CSV-to-DB migration pipeline.

Data Source

Historical data provided by the Gold-USD Kaggle Dataset (2000–Present).

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Created as part of an advanced AI Engineering project.