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the cases of guan mouwei and others manipulating the stocks of "xx fashion" in chaoyang, liaoning, and zheng mousheng and others manipulating the stocks of "xx food" and "xx packaging" in fushun, liaoning, both reflect the typical characteristics of "continuous trading" manipulation. these cases reveal the complexity and harmfulness of manipulation, which not only directly affects the stability of market prices, but also causes losses to investors and even leads to market collapse.

to counter this threat, the public security department and the china securities regulatory commission play an important role in cracking these cases. they use technical means to conduct in-depth analysis of securities trading activities and apply advanced databases and algorithms to identify traces of manipulative behavior.

the rise of technology

"continuous trading" is a key feature of manipulative behavior. such behavior usually requires the manipulator to accumulate a large amount of funds and use multiple securities accounts to push up the target stock price in the market, inducing investors to follow up. when the stock price reaches a certain height, the manipulator will clear out and reap the profit. behind these behaviors, there are often complex interests hidden, and multi-dimensional evidence analysis is needed to reveal the truth.

technology provides a new perspective for supervision

the public security department and the china securities regulatory commission use data mining, artificial intelligence, machine learning and other technical means to conduct in-depth analysis of securities trading activities and use advanced databases and algorithms to identify traces of manipulation. these technical means help them quickly identify manipulation and take timely action when it occurs.

in the process of investigation and prosecution, the public security department uses various advanced technical means, such as:

• data mining: identify unusual behavior and potential manipulation signals by analyzing large amounts of trading records.
• ai: use machine learning algorithms to quickly identify complex patterns and predict market trends.
• big data analysis: analyze massive amounts of trading data to reveal the root causes and development paths of manipulative behavior.

combining technology with fairness and justice

with the continuous advancement of technology, we can see the important role of technology in securities market supervision. it can not only help regulators identify and investigate manipulation more quickly, but also improve market transparency and reduce financial risks.

the use of technical means has laid the foundation for a fair and transparent securities market.