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Application of Technical Analysis and Portfolio Management with R

Elevate your investment strategy with technical analysis and portfolio management.

  • Schedule

    October 18, 2024

    19.00 – 21.00 (WIB)

  • Online-Interactive Learning

    Via Zoom

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OVERVIEW

This session provides an in-depth look at the application of technical analysis and portfolio management using R. Participants will learn to apply Tidyquant and Quantmod libraries for technical indicators and stock screening, and use Performance Analytics for portfolio management. The session also covers data visualization and clustering techniques to uncover market patterns. By the end, attendees will be equipped to use these tools and methods to make informed, data-driven investment decisions.

Course Syllabus

  • Gain a solid understanding of technical analysis fundamentals and how this approach helps investors and traders make more informed decisions.
  • Learn how R can automate technical analysis processes to enhance accuracy and efficiency.
  • Discover how to access stock market data and apply technical indicators using Tidyquant and Quantmod libraries.
  • Explore practical examples demonstrating how R enables access to historical stock data for in-depth technical analysis.
  • Learn to utilize various technical indicators such as moving averages, RSI, and MACD for effective stock screening.
  • Access practical R code and examples to identify buy and sell signals independently after the session.
  • Understand how to evaluate investment performance, assess risk, and analyze asset correlation within a portfolio.
  • Use practical R scripts to independently monitor and optimize portfolio performance.
  • Explore R scripts and examples for data visualization techniques to uncover stock market patterns.
  • Learn to apply clustering algorithms to group stocks based on characteristics like volatility or performance.
  • Examine a real-world case study showcasing the application of technical analysis and portfolio management with R.
  • Analyze specific investment challenges, key findings, and insights to inform future investment decisions.
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IN THIS SESSION

Keynote Session
Keynote presentations will cover the current and future impact of data science on businesses, highlighting its importance for success. Our guest lecturer will also share their insights and experiences on the topic.

Q&A Session
Attendees can interact with industry experts during the Q&A session, gaining valuable insights and learning directly from field leaders by asking questions and receiving expert answers.

YOUR INSTRUCTOR

Muhamad Makky Dandytra, CFTe
Sr. Equity Analyst at Great Eastern Life Indonesia

Muhammad Makky Dandytra is a seasoned expert in technical analysis who applies his skills to strategically allocate assets in the capital markets using a tactical asset allocation strategy. His technical analysis expertise allows him to understand the influence of fundamental and economic factors on price movements. By engaging in discussions with fund managers, analysts, key government personnel, and other institutions, and staying informed through news, data, and research reports, he remains at the forefront of market information.

Since 2019, Muhammad has expanded his knowledge into Data Science, using time series analysis to forecast prices of financial instruments such as stocks and bonds. He combines his strong foundation in technical analysis with data-driven insights, positioning himself to make significant contributions to the field.

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Get In Touch

PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma

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