U.S Stock Market Analysis Tool
Fully functional tool to analyse the history of the U.S Stock Market
GitHub Page
Fully functional tool to analyse the history of the U.S Stock Market
GitHub Page
Learn more about the problem we are trying to solve, the need for a Big Data application and more
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Learn more about how the tool is coded, how it operates and how to use it
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Look further into some of the results and their analysis as well as the summary of the work of the tool
Read MoreThe U.S stock market is one of the oldest and biggest financial market in the world. The New York Stock Exchange (NYSE) traces its routes all the way to 1792 and therefore stores (with its newer counterpart the NASDAQ) a immense quantity of data about the the history of the financial sector in the USA, about the industrial progress and the general economy.
The history of sock markets is therefore a very large data set and to analyse it efficiently we must use modern technology like Big Data processing. With Big Data we can extract valuable information out of raw data and use to analyse historical events, stock market performance throughout the years and connect all of this to general modern world history.
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To build this tool and obtain the results we did, we used various technological tools.
PySpark is the Python API for Apache Spark, an open-source, distributed computing framework. It enables seamless integration of Python with Spark's distributed processing capabilities, allowing developers to build scalable and efficient data processing and analysis applications.
Matplotlib is a Python library for creating static, animated, and interactive visualizations in a variety of formats, providing a flexible and comprehensive solution for data plotting and representation.
