The Impact of the Level of Electronic Disclosure on the Market Value of Stock Prices Listed in Amman Stock Exchange (Ase)

Investors and automated traders use firm data to make financial decisions. Computers occasionally misunderstand text due to the intricacy and ambiguity of natural language. Machine learning mitigates some of the drawbacks of traditional approaches. To automatically extract information from input sequences and capture non-linear connections, neural networks employ hierarchical structures and a large number of hidden layers. Machine learning is untested, which could explain why it has just lately acquired popularity. This research uses neural networks to make financial decisions. In forecasting stock price movements in reaction to financial announcements, this technique outperforms ordinary machine learning. The current study demonstrates the commercial advantages of deep learning and guides industry professionals and executives