Abstract
Analysing the data in a specic goal oriented manner can yield great insights which be used to ensure smooth running and regulation of the markets while avoiding manipulations which can have adverse impact on other market participants and damage the integrity of nancial market framework. Large institutional players often use unethical methods to move the markets in there favour, one of the the example is freak trades. This issue can be countered by making it mandatory for brokers to share live trade data which can be thrown into manipulation detecting models specially for freak trades. Machine Learning and deep learning models can be made for detection of manipulative occurences which includes fake news detection, manipulation of bid ask depth. Data analysis shows immense potential for the process of regulation of nancial markets
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