Abstract: Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives in
Developing an Effective Model for Detecting Trade-Based Market Manipulation determines an appropriate model to help identify stocks witnessing activities that a
Financial Times Series such as stock price and exchange rates are, often, non-linear and non-stationary. Use of decomposition models has been found to improve t
This paper seeks to define a model based on discriminant analysis to categorize a stock as manipulated or non-manipulated based on certain key variables that ca
Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensi