Tesla Stock Price Dashboard

I created an interactive Tesla Stock Price Dashboard to forecast Tesla’s stock price using historical data from Yahoo Finance, powered by advanced time series modeling. This dashboard enables users to explore monthly stock trends, adjust growth scenarios, and visualize future projections in real time, providing actionable insights for financial analysis.

Dynamic Forecasting: Forecasted Tesla’s stock price over the next 12 months using a SARIMA model, capturing seasonal patterns and market volatility in monthly data.

Interactive Controls: Integrated a growth rate slider and zoomable charts, allowing users to adjust assumptions and explore specific time periods with ease.

Trend Visualization: Added a smoothed trend line to highlight patterns in Tesla’s volatile stock data, making it easier to identify long-term trends.

Data Source: Fetched historical Tesla stock data using yfinance, with retry logic to handle API failures and ensure robust data retrieval.

Modeling: Applied SARIMA (Seasonal ARIMA) to model and forecast stock prices, fine-tuning parameters to account for monthly seasonality and trends.

Tools & Technologies: Python, yfinance, SARIMA (Statsmodels), Pandas, Plotly, Hex.

Data Preprocessing: Cleaned and aggregated daily stock data to monthly frequency, appending real-time prices to ensure up-to-date forecasts.

This project showcases my ability to turn complex financial data into intuitive, interactive tools for decision-making. The dashboard empowers users to explore Tesla’s stock price trends and future scenarios, bridging the gap between data science and financial strategy. By incorporating features like zoomable charts and a smoothed trend line, I ensured that even volatile data is accessible and actionable for stakeholders.

Interested in seeing the dashboard in action or discussing how I can build similar solutions for your team?