Developed Financial Analysis Tools for AAPL and MSFT

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📅 2024-12-05 — Session: Developed Financial Analysis Tools for AAPL and MSFT

🕒 13:05–14:05
🏷️ Labels: Financial Analysis, Data Visualization, AAPL, MSFT, Candlestick Charts
📂 Project: Business

Session Goal

The session aimed to develop and enhance financial analysis tools for evaluating the performance of Apple (AAPL) and Microsoft (MSFT) stocks using quantitative methods and [[data visualization]] techniques.

Key Activities

  • Quantitative Problem Solving Presentation: Introduced quantitative approaches in capital management using Bayesian reasoning, game theory, and pairs trading.
  • Correlation Analysis: Explored correlation frameworks for market benchmarks over various time windows, aiding trading strategies and portfolio management.
  • Relative Performance Analysis: Analyzed AAPL vs. MSFT using rolling 90-day returns, emphasizing pairs trading strategies.
  • yfinance Library Usage: Provided instructions for installing and using the yfinance library for financial data analysis.
  • Candlestick Chart Implementation: Developed scripts using mplfinance to create weekly candlestick charts for AAPL and MSFT, focusing on data fetching, processing, and visualization aesthetics.

Achievements

  • Successfully implemented and customized candlestick charts for AAPL and MSFT, incorporating annotations and consistent styling.
  • Enhanced understanding of correlation analysis and its application in trading strategies.

Pending Tasks

  • Further exploration of Bayesian inference for uncertainty modeling in financial contexts.
  • Integration of additional financial indicators into existing analysis frameworks.

Graph View

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