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📈 Welcome to my GitHub Profile!

🚀 Exploring the intersection of finance and technology, my collection of scripts in R, Python, and VBScript is a treasure trove for enthusiasts and professionals alike. Dive into the world of finance with a focus on portfolio analysis, risk management, fixed income analysis, stock market analysis, econometrics, time series modeling, derivative pricing, data visualisation, and web scraping.

📊 Key Features:

  • Portfolio Analysis: Uncover insights into portfolio performance and optimize for maximum returns.
  • Risk Management: Navigate financial markets with robust risk management tools and strategies.
  • Fixed Income Analysis: Delve into the complexities of fixed income securities and optimize your investment strategy.
  • Stock Market Analysis: Stay ahead in the dynamic world of stocks with comprehensive analysis tools.
  • Econometrics: Apply statistical methods to analyze economic relationships and trends.
  • Time Series Modeling: Harness the power of time series models for accurate predictions and forecasting.
  • Derivative Pricing: Understand and price complex financial derivatives with precision.
  • Data Visualisation: Transform raw data into meaningful visualizations for better decision-making.
  • Web Scraping: Access real-time financial data from the web to enhance your analyses.

🌐 Explore and Contribute: Whether you're a finance enthusiast, data scientist, or developer, there's something for everyone. Feel free to explore, contribute, and collaborate to enhance our collective understanding of the financial world.

💼 Open to Cooperation and Work Opportunities: Passionate about finance and technology, I am open to collaboration and actively seeking work opportunities. If you have exciting projects or job opportunities, let's connect and explore the possibilities!

Let's unravel the mysteries of finance through code! 📊💻✨

Vladislav Pyatnitskiy's Projects

r.stats icon r.stats

Repository with statistical functions via R

rus-stock-data-analysis icon rus-stock-data-analysis

Data Analysis of Russian Stocks using CSV files from Investing.com and getting useful insights from it

statspy icon statspy

Repository with statistical functions via Python

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