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This paper presents an algorithmic trading strategy for margin trading that allows investors to profit from frequent stock transactions without sophisticated systems. It discusses the potential of predicting stock price movements using machine learning techniques like LSTM and emphasizes the importance of leveraging margin trading for increased returns. The authors aim to provide a practical approach for common investors to engage in algorithmic trading effectively while managing risks and costs.

Author

Daniel DABILOUGOU

Language

EN