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Measuring impact of US Non-Farm Payroll Report on some FX Markets

In this project, we want to measure by how much NFP has triggered moves in past markets.
Event Date
24th
Jun - 2017
07:00am - 09:30am PST
25th
Jun - 2017
07:00am - 09:30am PST
What are the prerequisites for this project?
  • It is expected that students have a fair knowledge of Big Data and Hadoop particularly HDFS, Pig, Hive and Impala
  • Installation Cloudera quickstart VM
  • For purpose of visualization, it is expected that you have Qlikview on your host machine or an equivalent
  • This project assumes that you have a good knowledge of Hadoop. If not - we recommend you to take the Big Data and Hadoop course first.

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

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 hackerday, 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 hackerday will be a basis for a machine learning predictive system, we will be focusing on the machine learning portion of this class in a future hackerday session. This class will be on how to gather and prepare data for this purpose of inference and prediction.

Instructors

 
Michael

Big Data & Enterprise Software Engineer

I am passionate about software development, databases, data analysis and the android platform. My native language is java but no one has stopped me so far from learning and using angular and node.js. Data and data analysis is thrilling and so are my experiences with SQL on Oracle, Microsoft SQL Server, Postgres and MyS see more...

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