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This project examined the effectiveness of stock trading strategies based on technical indicators against the Fidelity Blue Chip Growth Fund (FBGRX) over 13 years, using Python programming and data cleaning techniques.

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Backtesting 9 Trading Strategies and Comparing with Popular Mutual Fund

ℹ️ Quick Facts:

  • Language: Python
  • Dataset: Yahoo Finance (automatically pulled)

🎯 Project Process:

  • 1️⃣ Understanding the Data / Data Discovery
  • 2️⃣ Data Preparation (Cleaning, Transforming etc)
  • 3️⃣ Implementing Strategies Using Backtest Libary Parent Object
  • 4️⃣ Implementing Summary Statistics Functions
  • 5️⃣ Implementing Comparison of 9 Trading Strategy Output with Popular Mutual Fund Buy-and-Hold Output
  • 5️⃣ Preparing and Submitting Final Report

🫱🏻‍🫲🏻 Collaborators:

  • Anand Mohan
  • Parv Agrawal

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This project examined the effectiveness of stock trading strategies based on technical indicators against the Fidelity Blue Chip Growth Fund (FBGRX) over 13 years, using Python programming and data cleaning techniques.

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