This repository is about a historical stock market data for current S&P 500 companies, from 2014-2017. Each record represents a single day of trading, and includes the ticker name, volume, high, low, open and close prices.
The data contains 497,472 number of records. The data is found in a single table The table has 7 fields
The corresponding data can be found here https://www.mavenanalytics.io/data-playground?page=3
The purpose of this analysis is to explore a dataset of Airbnb in Berlin with particular regard to the differences between the former East and West:
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Which date in the sample saw the largest overall trading volume? On that date, which two stocks were traded most?
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_On which day of the week does volume tend to be highest? Lowest?
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_On which date did Amazon (AMZN) see the most volatility, measured by the difference between the high and low price?
If I could go back in time and invest in one stock from 1/2/2014 - 12/29/2017, which would one I choose? What % gain would I gain?
My thanks go to Maven Analytics for sharing the data. The corresponding link to the data can be found below: https://www.mavenanalytics.io/data-playground?page=3
Below is the visualisation for S&P Stock Prices https://public.tableau.com/app/profile/samuel.nyarko.osei.tutu/viz/SP5000/Dashboard1
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