Detecting technical trading patterns in financial data with Apache Flink

Quan Pham, Quang Nguyen, Ryte Richard, Shekhar Sharma, Xavier Ruiz
2022 Proceedings of the 16th ACM International Conference on Distributed and Event-Based Systems  
The DEBS Grand Challenge is an annual competition in which participants strive to build the fastest and most scalable distributed and event-based systems that solve a practical problem. For the year 2022, the challenge focuses on real-time complex event processing of real-world high-volume financial trading data. The goal is to efficiently compute specific trend indicators and detect patterns that would assist real-life traders in deciding to buy or sell on the financial markets. This paper
more » ... to solve the above challenge using Apache Flink [1] -an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. CCS CONCEPTS • Information systems → Data stream mining.
doi:10.1145/3524860.3539648 fatcat:zltbhguvrnhjffiuktxrlxz5sq