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Stock Technical Analysis with Python

Stock Technical Analysis with Python

Stock Technical Analysis with Python

technical analysis is a “methodology for forecasting the direction of prices through the study of past market data, primarily price, and volume”. In this article, I show how to use a popular Python library for calculating TA indicators

What you'll learn

  • Read or download S&P 500® Index ETF prices data and perform technical analysis operations by installing related packages and running code on the Python IDE.
  • Compute lagging stock technical indicators or overlays such as moving averages, Bollinger bands, parabolic stop and reverse.
  • Calculate leading stock technical indicators or oscillators such as average directional movement index, commodity channel index, moving averages convergence/divergence, rate of change, relative strength index, stochastic oscillator and Williams %R.
  • Determine single technical indicator based stock trading opportunities through price, double, bands and signal crossovers.
  • Define multiple technical indicators based stock trading occasions through price crossovers confirmed by bands crossovers.
  • Outline long (buy) or short (sell) stock trading strategies based on single or multiple technical indicators trading openings.
  • Assess stock trading strategies performance by comparing their annualized return, standard deviation and Sharpe ratio against buy and hold benchmark.

Full Course Content Last Update 06/2017

Section 1 Content Last Update 04/2020

Learn stock technical analysis through a practical course with Python programming language using S&P 500® Index ETF historical data for back-testing. It explores main concepts from basic to expert level which can help you achieve better grades, develop your academic career, apply your knowledge at work or do research as experienced investor. All of this while referencing best practitioners in the field.
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