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Long and short-term memory model is part of recurrent neural network architecture. Widely used for handwriting and voice recognition , unlike different architectures it can identify simple patterns between for different lag period, can also make it of good use to hypothesis the use of technical analysis on financial time series data

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NarendarK29/Neural-network---LSTM-model-for-stock-price-prediction

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Recurrent neural network LSTM model for stock price prediction

Long and short-term memory model is part of recurrent neural network architecture. Widely used for handwriting and voice recognition , unlike different architectures it can identify simple patterns thus make it of good use to hypothesis the use of technical analysis on financial time series data

Above repository is developed using online available tutorials from:

Krish Naik: https://www.youtube.com/watch?v=zwqwlR48ztQ

Note: Using following code for any research or trading purpose is inadvisible.

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Long and short-term memory model is part of recurrent neural network architecture. Widely used for handwriting and voice recognition , unlike different architectures it can identify simple patterns between for different lag period, can also make it of good use to hypothesis the use of technical analysis on financial time series data

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