Analyzing the Impact of Economic Indicators on Stock Prices Using Python

Stock prices are influenced by a myriad of factors, with economic indicators playing a significant role in determining market trends. Understanding the impact of these economic indicators on stock prices is crucial for making informed investment decisions. In this tutorial, we will delve into the realm of data analysis and machine learning to analyze how various economic indicators affect stock prices.

Photo by Jason Briscoe on Unsplash

Table of Contents

• Introduction: Overview of the project and its goals.
• Data Collection: Obtaining economic indicators and stock prices data.
• Data Preprocessing: Cleaning and preparing the data for analysis.
• Exploratory Data Analysis: Analyzing the relationships between economic indicators and stock prices.
• Feature Engineering: Creating new features to improve the model’s performance.
• Building a Predictive Model: Developing a machine learning model to predict stock prices.
• Evaluation: Assessing the model’s performance and accuracy.
• Conclusion: Summary of findings and potential areas for future research.

Data Collection

prices data