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BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

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deadskull7/New-York-Stock-Exchange-Predictions-RNN-LSTM

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New-York-Stock-Exchange-Predictions-RNN-LSTM

BEST SCORE ON KAGGLE SO FAR.

Red line - Predicted , Blue line - Actual

Mean Square Error after repeated tuning 0.00032. The model performance is self explanatory from the graph below.

Predicted_vs_actual

Opening and closing stock prices of some companies.

*Goldmann Sachs

Goldmann_Sachs

*Xerox

Xerox

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BEST SCORE ON KAGGLE SO FAR. Mean Square Error after repeated tuning 0.00032. Used stacked GRU + LSTM layers with optimized architecture, learning rate and batch size for best model performance. The graphs are self explanatory once you click and go inside !!!

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