Financial Data Analysis

Goal:

The project aims to analyze and visualize stock price data to understand trends, evaluate stock performance, identify correlations, and assess the impact of critical events like the 2008-2009 economic crash on bank stocks.

Approach and Solution:

The problem was approached through a structured series of tasks:

• Data Retrieval: Used the pandas-datareader library to gather stock price data directly from the internet.
• Exploratory Data Analysis: Conducted EDA to extract meaningful insights from the stock price dataset.
• Stock Return and Correlation Analysis: Calculated stock returns and identified interdependencies among stocks through correlation analysis.
• Visualization: Created informative plots and charts to effectively communicate stock trends and performance.
• Performance Evaluation: Analyzed the performance of bank stocks during critical periods to understand their behavior in response to economic events.

Insights:

The project successfully provided a detailed analysis of stock price trends, correlations, and performance. It offered actionable insights into stock behavior during the 2008-2009 economic crash, demonstrating the effectiveness of exploratory and visual data analysis techniques in financial data.