STOCKIFY
Keywords:
Recurrent Neural Network, Long Short-Term Memory, Stock Market, forecastingAbstract
Predicting stock value is a difficult task that ne-cessitates a solid computational foundation in order to compute longer-term share values. Because stock prices are correlated by nature of the market, it will be impossible to estimate costs. The proposed algorithm uses market data to predict share price usingmachine learning techniques such as recurrent neural networks with Long Short Term Memory, with weights modified for each data point using stochastic gradient descent. In compared to currently available stock price predictor algorithms, this method will deliver reliable results. To encourage the graphical outcomes,the network is trained and assessed with varied sizes of input data.
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