An Innovative Neural Network Approach for Stock Market

Assignment Task

Shion the transition of the stock market - directly switching to the online platform f the randomized investment rate in 'ne stock is getting higher. On the other side, et tendencies is a highly challenging task

1. It is to be noted that there are numerous influence the performance of the stock market that are including general economic ents and the expectations of the traders. As these factors are not contant and cial prone experts also find it quite difficult to make accurate predictions

2. In addition tc tock market tend to be nonlinear, non-stationary and uncertain. By considering this of artificial intelligence has been taken into account so that stock market prediction Ficient ways with the utilization of AI-based algorithms. It is to be noted that machine nother subfield of AI, in which a variety of algorithm models are present that can be ing prediction. Artificial Neural Network (ANN) is such an efficient model that can Tovement in stock prediction works. Sever studies have shown how the ANN ninant analysis and statistical regression mc dels

3. In general, there are specifically that exist related to stock market predictions, that is prediction of the future stock data and variation of the stock price as
time zeries With the help of these.

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