Quantitative Data: The Complete Guide
It's 3:00 AM. Your algorithm is processing thousands of market data points, identifying a statistical anomaly that could yield a 0.5% profit on 10,000 c...
It's 3:00 AM. Your algorithm is processing thousands of market data points, identifying a statistical anomaly that could yield a 0.5% profit on 10,000 contracts — all while you're asleep. This isn't science fiction; it's the daily reality for traders leveraging quantitative data to make objective, scalable decisions. Forget gut feelings — in today's markets, success belongs to those who speak the language of numbers. Quantitative data is any data that is in numerical form such as statistics, percentages, or counts. It allows traders to measure market movements objectively and test hypotheses with statistical methods. According to Wikipedia, quantitative data "is any data that is in numerical form such as statistics, percentages, etc." The researcher analyses the data with the help of statistics and hopes the numbers will yield an unbiased result that can be generalized to some larger population. Key fact: A comprehensive analysis of 1274 articles published in the top two American sociology journals between 1935 and 2005 found that roughly two-thirds of these articles used quantitative method.