Project scope
Categories
Data analysis Financial modeling Data scienceSkills
stock markets financial analysis financial market data science finance codebase application programming interface (api) data analysis stocks (inventory)This project involves applying data science techniques to analyze financial market data, specifically focusing on stock market trends. The primary objective is to utilize historical stock data available through the Yahoo Finance API to answer key exploratory questions.
Learners will calculate the variance of selected stocks to understand their volatility. Additionally, they will explore the use of moving averages to identify potential profitable trading opportunities.
- Variances
- Moving averages
- Trading Ranges
- Opening/Closing candlestick patterns
The project aims to bridge theoretical knowledge from the classroom with practical data analysis skills, enabling learners to gain insights into financial market behaviors. By the end of the project, students will have a deeper understanding of how data-driven strategies can be applied to real-world financial scenarios.
A well-documented codebase showcasing the data analysis process and results will be submitted. These deliverables will demonstrate the application of data science techniques to financial market data.
Learners will also provide a presentation summarizing their findings and insights. Additionally
Providing specialized, in-depth knowledge and general industry insights for a comprehensive understanding.
Sharing knowledge in specific technical skills, techniques, methodologies required for the project.
Direct involvement in project tasks, offering guidance, and demonstrating techniques.
Providing access to necessary tools, software, and resources required for project completion.
Scheduled check-ins to discuss progress, address challenges, and provide feedback.
Supported causes
The global challenges this project addresses, aligning with the United Nations Sustainable Development Goals (SDGs). Learn more about all 17 SDGs here.
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