Yahoo Finance – Stock Data Project
Project Description
This project is an introduction to the world of financial data analysis, where you’ll learn how to retrieve, process, and analyze stock market data. Throughout the project, you’ll gain practical experience with key data science skills, including data cleaning, exploratory data analysis, and visualization. You’ll also dive into technical analysis by implementing and backtesting a basic trading strategy.
As you progress, you’ll explore the fundamentals of machine learning, training models to better understand stock movements, and evaluate their performance. By the end of the project, you’ll be able to articulate the key findings of your analysis and understand the implications of model predictions. This project is ideal for those looking to bridge the gap between theoretical knowledge and practical application in finance and data science.
Dataset
This project will guide you in downloading market data from Yahoo! Finance’s Application Programming Interface (API)
Relevant Skills You May Apply
Basic Python Programming and Machine Learning knowledge
Skills You May Gain
Data Cleaning and Pre-processing, Financial Analysis, Machine Learning, Model Evaluation, and Visualization skills
Total Time
Approximately 10 to 20 hours (2 to 4 weeks)
Milestones
Milestone 1: Data Retrieval and Pre-Processing
Milestone 2: Exploratory Data Analysis (EDA)
Milestone 3: Moving Averages and Basic Technical Indicators
Milestone 4: Implementing a Moving Average Crossover Strategy
Milestone 5: Backtesting the Strategy
Milestone 6: Model Selection and Machine Learning Introduction
Milestone 7: Performance Metrics and Model Evaluation
Milestone 8: Reporting and Visualization
Deliverables
Deliverables include a project report highlighting new skills gained and an interactive Python notebook (Jupyter/Google Colab).