Deciphering Big Data

With regards to news sentiment and specifically Big Data Big Data Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econome Big data refers to the collection of data that is too complex and too large for processing by standard database tools. There is no specific quantity of data, which is set as a minimum level to be considered Big data. Image the data collected on global credit card transactions. Many governments used Big data analysis to study the recent pandemic spread. The term Big data was first introduced in 1980 by Charles Tilly.The term Big data was primarily used in computer science, statistics, and econome Read this Term and user insight there are two areas of interest to someone trying to understand:

1. By measuring volume of news and Volatility Volatility In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Traders In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Traders Read this Term (AKA Fear or Buzz) around a subject you can derive data that will tell you what your user target is most likely to be reading about in the news, and what your advertising or promotional material should be dedicated to. You may find an uptick in news relating to EUR/USD in the Japanese language for example, and users in social media showing large amounts of fear.

2. The use of Google trends is becoming increasingly important in understanding how people are searching. In the infographic below I have searched under some principle currency pairs and what comes up of interest is the following:

a) The USD/RUB is spiking tremendously as we would imagine to levels of interest equivalent to JPY and GBP

b) That as a percentage of population, people in Lithuania are most likely to be interested in trading EUR/USD