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Spark Project-Measuring US Non-Farm Payroll Forex Impact

In this spark project, we will measure by how much NFP has triggered moves in past markets.

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What will you learn

  • Discuss the user objective and real life purpose of this study.
  • Gathering data for market analysis
  • Using Hive to make the data accessible
  • Writing spark application to structure the data
  • Making the application an executable
  • Prepare the basis for a Machine Learning system
  • Incremental loading of data

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Project Description

For investors in the currency markets, fundamental analysis means analyzing the market using non-technical sources like news and other events. Furthermore, in today's FX Market, one of the most consistency news pieces that resort in a very sharp movement in the forex market is the US Non-farm payroll(NFP).

In this big data project, we want to measure by how much NFP has triggered moves in past markets. We will analyze the news numbers versus the price movement that it resulted in. This information can be very useful to gauge by how much the market will move in the event of any future news. This will enable investors to make splits seconds decision as to where to enter the market and what target points should be expected in the event of NFP news.

While the data prepared from this big data project using apache spark will be a basis for a machine learning predictive system, we will be focusing on the machine learning portion of this class in other upcoming projects. This class will be on how to gather and prepare data for this purpose of inference and prediction.

Curriculum For This Mini Project

02h 48m
02h 45m