Tesla Stock Price Analysis and Prediction Web App

Benjamin van der Merwe

Data Scientist
Financial Analyst
ML Engineer
pandas
Python
TensorFlow
Tesla Stock Price Analysis and Prediction Web App
Delve into the dynamic world of Tesla's stock performance with this intuitive web application. Explore historical trends, fine-tune your analysis with custom date ranges, and peer into the future with predictions powered by advanced machine learning.
Features:
Visualize: Chart Tesla's closing prices over time, augmented with technical indicators like RSI and Stochastic Oscillator to uncover potential patterns.
Filter: Focus your analysis on specific timeframes by selecting custom date ranges within the app's intuitive interface.
Predict: Assess future stock price scenarios using a trio of machine learning models:
Technology: Built with Python, pandas, TensorFlow, and Streamlit for an accessible and interactive user experience.
Key Benefits:
Accessible Insights: Simplifies complex stock analysis for users of all experience levels.
Data-Driven Predictions: Provides forecasts based on rigorous machine learning models.
Interactive Exploration: Empowers users to customize their analysis and explore different scenarios.
Up-to-date Information: Leverages the latest stock data and machine learning techniques.
Designed For: Investors, financial analysts, Tesla enthusiasts, and anyone curious about the future trajectory of Tesla's stock.
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