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1
Intro
2
CSV Files
3
Download Stock Data
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Get Data Frame
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Get Files
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Daily Returns
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Cumulative Returns
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Bollinger Bands
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Ichimoku
10
Conversion Line
11
Testing
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Machine Learning
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Plot
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Feed Data
Description:
Learn how to invest using data science techniques in this comprehensive 3-hour video tutorial. Explore cutting-edge methods from technical analysis and portfolio optimization, covering topics such as downloading stock data, calculating daily and cumulative returns, implementing Bollinger Bands and moving averages, utilizing Ichimoku indicators, analyzing candlestick patterns, creating complex plots, performing sector analysis, and applying Markowitz Portfolio Optimization. Dive into concepts like correlation, covariance, efficient frontier, Sharpe ratio, and portfolio weighting. Access accompanying files on GitHub for hands-on practice. Note that this educational content is not investment advice and all investing carries risks.

How to Invest with Data Science - Technical Analysis and Portfolio Optimization

Derek Banas
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