Transcriptomics: Open Access
Open Access

Abstract

Leveraging Machine Learning and Artificial Neural Networks for Stock Price Prediction

Carolina Hoffmann-Becking

The presentation starts off with providing an introduction on why AI is relevant today tracing back to algorithmic advancements, Big Data and Processing Power. It then sets the context of pratical examples for AI in Finance. At the heart of the presentation is the walkthrough on Machine Learning Algorithms for Stock Price Predicition and its limitations such as statistical stationarity and time series datasets leading to the introduction and architecture of Recurrent Neural Networks. Finally closing up with Ensemble Theorie the optimisation approach in the field of AI.

Published Date: 2020-11-30; Received Date: 2020-09-04