Detecting trading trends in streaming financial data using Apache Flink
Emmanouil Kritharakis, Shengyao Luo, Vivek Unnikrishnan, Karan Vombatkere · 2022
Modern financial analytics rely on high-volume streams of event notifications that report live market fluctuations based on supply and demand. Accurately identifying trends or breakout patterns based on the Exponential Moving Average (EMA) in the development of an instrument's price early on is an important challenge, so as to buy while the price is low and sell before a downtrend begins.