Stock Price Prediction Using LSTM: Step-by-Step Tutorial in Python

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In this tutorial, I’ll walk you through creating an LSTM-based stock price prediction model using TensorFlow. You’ll learn about data preprocessing, building the model, and evaluating its performance. In this video, I explain how to use LSTM models for stock price prediction, including step-by-step Python code for beginners.

OppenFynn Innovation Labs

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Hello, and thank you for this video, the topic is truly fascinating! I have a question, if I may.

I have built two models for predicting the prices of the ES 500 index, and here are their evaluation results:

**Model 1: MEMD-LSTM**

- R^2: 0.9911
- MSE: 0.0000
- RMSE: 0.0058
- MAE: 0.0051
- MAPE: 0.54%
- Max Error: 0.0181

**Model 2: PCA-ICA-LSTM**

- R^2: 0.9841
- MSE: 5.31×10^-5
- RMSE: 0.0073
- MAE: 0.0064
- MAPE: 0.6789%
- Max Error: 0.0681

At first glance, these metrics suggest that both models are robust. However, during live backtesting with real-world data, both models show significant deviations from actual values.

In your opinion, what could be the causes of these discrepancies despite seemingly solid evaluation metrics?

thank you !

khalidEchlouchi

thanks for sharing. do you have any idea why Adj Close price will not be downloaded ?!

DrMahdiMousavi

one question sir date column is not required to input to lstm?

ARBabhulgaonkar

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