GitHub - pjackson31/BackTesting: Using real historical time series data for the S&P 500, implemented a basic trend investment strategy backed by 42-day and 252-day trends using pandas and time series analytics. Created a virtual portfolio with investment strategy on AAPL and various other tickers based on trend signals backed by graphical representation of signals, returns and risk. Implemented a Stock Guesser using scikit learns various ML learning modules Adaline, Support Vector Machines, and Perceptrons

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Using real historical time series data for the S&P 500, implemented a basic trend investment strategy backed by 42-day and 252-day trends using pandas and time series analytics. Created a virtual portfolio with investment strategy on AAPL and various other tickers based on trend signals backed by graphical representation of signals, returns and …

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Using real historical time series data for the S&P 500, implemented a basic trend investment strategy backed by 42-day and 252-day trends using pandas and time series analytics. 
Created a virtual portfolio with investment strategy on AAPL and various other tickers based on trend signals backed by graphical representation of signals, returns and risk. 
Implemented a Stock Guesser using scikit learns various ML learning modules Adaline, Support Vector Machines, and Perceptrons