Services

Stock Price Model

Design Goals

Date:
Jan 2025

🌟 Overview

This platform provides comprehensive time series analysis and forecasting for financial markets. It combines statistical modeling (ARIMA), interactive visualizations, and a modern web interface into a containerized application ready for cloud deployment.

Key Achievement: Solved complex Docker volume mounting and composition challenges for seamless data persistence across environments—from development to production on AWS EC2.

✨ Features

📊 Analytics & Modeling

Real-time Stock Data: Live market data fetching via Yahoo Finance API
ARIMA Forecasting: Time series prediction with configurable parameters (p, d, q)
Statistical Analysis:
- Moving averages and volatility metrics
- Returns analysis and distribution modeling
- Autocorrelation and partial autocorrelation functions
- Seasonal decomposition (trend, seasonal, residual)
Normality Testing: Shapiro-Wilk and visual Q-Q plots

📈 Interactive Visualizations

Multi-panel Dashboard: Candlestick charts, volume analysis, price movements
Technical Indicators: Rolling means, Bollinger bands, volatility measures
Forecast Visualization: Model predictions with confidence intervals
Diagnostic Plots: Residual analysis, ACF/PACF plots, decomposition charts

🎨 User Interface

Modern Streamlit Dashboard: Responsive layout with intuitive controls
Ticker Selection: Quick-select popular stocks or enter custom symbols
Date Range Filtering: Analyze specific time periods
Customizable Visualizations: Adjustable parameters and color schemes
Real-time Updates: Dynamic data refresh on selection changes

🏗️ Architecture & Deployment

CI/CD Ready: Makefile automation for builds and deployments

Dockerized Application: Containerized setup for easy deployment

AWS EC2 Deployment: Production-ready cloud infrastructure

Custom Domain: Cloudflare DNS integration for professional access

Data Persistence: Volume mounting for environment consistency