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What is High-Frequency Trading with ODE-RNN about?

This dissertation by Angus Parsonson presents the development of a high-frequency trading algorithm utilizing an Ordinary Differential Equation Recurrent Neural Network (ODE-RNN). It explores the technical background of financial markets, high-frequency trading strategies, and deep learning, while detailing the project execution and evaluation of results. The work aims to contribute to the field of algorithmic trading through innovative neural network architectures and methodologies.

Author

tran tran

Language

EN