Stock Market Data Analysis and Visualization w/ Python and More – Mammoth Interactive

Unlock Expert Knowledge: Discover the Premium Stock Market Data Analysis and Visualization w/ Python and More – Mammoth Interactive Course Exclusively at GBESY. Elevate your skills and achieve career success by learning from world-renowned instructors and industry experts through our extensive library of premium self-paced courses.

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$198.98   $34 – Stock Market Data Analysis and Visualization w/ Python and More – Mammoth Interactive

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.

$198.98   $34 – Stock Market Data Analysis and Visualization w/ Python and More – Mammoth Interactive

Unlock Expert Knowledge with the Stock Market Data Analysis and Visualization w/ Python and More – Mammoth Interactive Course on GBESY.

Access over 70,000 premium learning programs curated by leading experts and renowned authors at GBESY. Our Stock Market Data Analysis and Visualization w/ Python and More – Mammoth Interactive course provides actionable knowledge and real-world skills through:

• Expert Authors: Learn from renowned figures like John Overdurf, Conor Harris, Samir Kahlot, and more.
• Flexible Learning: Enjoy self-paced study for ultimate convenience.
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