Suamil Mistry

Projects

Projects / Open-Source

A Study of Intrinsic Value and Market Performance

Python, Pandas, NumPy, Matplotlib, Excel, Bloomberg Terminal, Reuters Eikon

  • Conducted fundamental analysis of Indian banking stocks.
  • Evaluated intrinsic value and market performance.
  • Utilized Python, Pandas, and financial databases for data analysis.
  • Identified buying opportunities in HDFC, Axis Bank, and ICICI Bank.
  • Provided recommendations based on discounted cash flow method.

Excel, Bloomberg Terminal

  • Financial Analysis: Evaluating company performance through revenue trends, profitability ratios, and cash flow analysis.
  • Industry Research: Understanding industry trends, competition, and market dynamics.
  • Valuation Modeling: Using methods like DCF, CCA, and precedent transactions to determine company value.
  • Investment Recommendations: Providing actionable insights based on risk assessment and market outlook.
  • Report Writing: Communicating findings and recommendations clearly in research reports.

Python Pandas NumPy yfinance Matplotlib QuantStats

  • Python-based automated system for stock trading strategy backtesting and analysis.
  • Utilizes Pandas, NumPy, yfinance, Matplotlib, and QuantStats libraries.
  • Fetches historical stock price data and calculates moving averages
  • Generates trading signals based on crossover strategies (simple and exponential moving averages).
  • Simulates trading positions and evaluates strategy performance.
  • Provides visualizations and performance metrics for investment decision-making.
  • Valuable tool for traders and investors optimizing stock trading strategies.
Explore all project source

Certifications