Developed Financial Analysis Tools for AAPL and MSFT

2 min read

📅 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
⭐ Priority: MEDIUM

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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