Original price was: $198.98.Current price is: $43.00.

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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

PURCHASE THIS COURSE, YOU ACCUMLATE: 43 POINTs!


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Description

Buy Stock Market Data Analysis & Visualization w/ Python & More – Mammoth Interactive Course at esyGB. You will have immediate access to the digital downloads in your account or your order email.

What you'll learn

  • Calculate leading stock technical indicators or oscillators such as average directional movement index, commodity channel index, moving averages convergence/divergenc
  • Define multiple technical indicators based stock trading occasions through price crossovers confirmed by bands crossovers.
  • Assess stock trading strategies performance by comparing their annualized return, standard deviation and Sharpe ratio against buy and hold
  • Compute lagging stock technical indicators or overlays such as moving averages, Bollinger bands, parabolic stop and reverse.

Requirements

  • No necessary experience needed

Description

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 an experienced investor. All of this while referencing the best practitioners in the field.

Become a Stock Technical Analysis Expert in this Practical Course with Python

  • Read or download S&P 500® Index ETF prices data and perform technical analysis operations by installing related packages and running code on 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, centerline, and signal crossovers.
  • Define multiple technical indicators based on 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.
  • Evaluate stock trading strategies performances by comparing them against the buy and hold benchmark.

Who this course is for:

  • Undergraduates or postgraduates at any knowledge level who want to learn about stock market data analysis and visualisation using Python programming language.
  • Experienced investors who desire to research stock technical trading strategies.
  • Anyone who is interested to learning stock market data analysis
  • Finance professionals or academic researchers who wish to deepen their knowledge in quantitative finance.

Get Stock Market Data Analysis & Visualization w/ Python & More – Mammoth Interactive, Only Price $47


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Buy the Stock Market Data Analysis & Visualization w/ Python & More – Mammoth Interactive course at the best price at esy[GB]. Upon completing your purchase, you will gain immediate access to the downloads page. Here, you can download all associated files from your order. Additionally, we will send a download notification email to your provided email address.

Unlock your full potential with Stock Market Data Analysis & Visualization w/ Python & More – Mammoth Interactive courses. Our meticulously designed courses are intended to help you excel in your chosen field.

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Stock Market Data Analysis Visualization w Python More - eSy[GB]
Stock Market Data Analysis & Visualization w/ Python & More – Mammoth Interactive
Original price was: $198.98.Current price is: $43.00. Add to cart