Stock market trading behavior modeling to detect aggressive trading strategies

The paper presents a novel approach to modeling coordinated traders' behavior in stock market. The main assumption that we rely on is that traders may conspire to manipulate stock prices. The presented algorithm efficiently identifies malicious traders abusing market instruments to gain extra profit. Comparing to other similar algorithms, our algorithm provides much higher accuracy when processing historical market data.