Algorithmic Trading for Value Investing: Identifying Top Value Stocks with Precision

9 casts | 53:09 for the total course

Python Finance Algorithms

Description

This course is tailored for investors and data analysts looking to leverage algorithmic trading to find the best value stocks. Through practical lectures and hands-on exercises, you’ll learn to build and refine trading algorithms that focus on identifying undervalued stocks with strong investment potential.

Course Content:

01. Build A Dataframe

  • Learn to create and manage a DataFrame for organizing stock data.
  • Use Python to structure and analyze financial information effectively.

02. Remove Glamour Stocks

  • Implement strategies to filter out high-profile, overvalued stocks.
  • Focus on identifying undervalued stocks that present real investment opportunities.

03. Calculate The Number Of Shares To Buy

  • Determine the optimal number of shares to purchase based on valuation metrics and investment criteria.

04. Build A Composite Of Valuation Metrics

  • Develop a composite of key valuation metrics to assess stock worth.
  • Combine various indicators to form a comprehensive valuation analysis.

05. Clean Dataframe

  • Learn to clean and preprocess your DataFrame to ensure accurate data analysis.
  • Address missing values, outliers, and inconsistencies in your dataset.

06. Calculate Value Percentiles

  • Compute value percentiles to rank and evaluate stocks based on their valuation metrics.
  • Use percentiles to identify stocks with the highest value potential.

07. Find The 50 Best Value Stocks

  • Apply your algorithm to select the top 50 value stocks from your cleaned and analyzed data.
  • Refine your selection criteria to focus on the most promising investment opportunities.

08. Calculate New Number Of Shares To Buy

  • Adjust your buying strategy based on updated value metrics and stock data.
  • Recalculate the optimal number of shares to purchase for ongoing investments.

By the end of this course, you’ll have the expertise to build and apply sophisticated algorithms for value investing, helping you identify and act on the best value stocks with confidence. Enhance your investment strategies with practical Python skills and advanced data analysis techniques, and discover top opportunities for your portfolio.

  • 1. 05 Find 50 Best Value Stocks with 2 Investing Strategies
    • 05-00 Project 3 Preview | Algo Trading Python

      1:55

    • 01 Build A Dataframe | Algo Trading Python

      5:59

    • 02 Remove Glamour Stocks | Algo Trading Python

      5:01

    • 03 Calculate The Number Of Shares To Buy | Algo Trading Python

      3:51

    • 04 Build A Composite Of Valuation Metrics | Algo Trading Python

      15:22

    • 05 Clean Dataframe | Algo Trading Python

      5:49

    • 06 Calculate Value Percentiles | Algo Trading Python

      4:50

    • 07 Find The 50 Best Value Stocks | Algo Trading Python

      6:58

    • 08 Calculate New Number Of Shares To Buy | Algo Trading Python

      3:24

Created By

Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more. Over 11 years, Mammoth Interactive has built a global student community with 3.3 million

US$49.99

  

This course includes

Unlock the potential of value investing with our course, “Algorithmic Trading for Value Investing: Identifying Top Value Stocks with Precision.” This comprehensive course will guide you through building and refining trading algorithms to find the best value stocks. Learn to create and manage dataframes, filter out overvalued glamour stocks, calculate optimal share quantities, and build a composite of key valuation metrics. With hands-on exercises, you’ll identify and rank the top 50 value stocks and adjust your buying strategy for maximum investment success. Enhance your investment strategies with practical Python skills and sophisticated data analysis techniques to uncover undervalued opportunities with confidence.

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