Shashank Rai / Профиль
![Using PatchTST Machine Learning Algorithm for Predicting Next 24 Hours of Price Action](https://c.mql5.com/2/83/Using_PatchTST_Machine_Learning_Algorithm_for_Predicting_Next_24_Hours_of_Price_Action__LOGO.png)
In this article, we apply a relatively complex neural network algorithm released in 2023 called PatchTST for predicting the price action for the next 24 hours. We will use the official repository, make slight modifications, train a model for EURUSD, and apply it to making future predictions both in Python and MQL5.
![erwingroot erwingroot](https://c.mql5.com/avatar/avatar_na2_micro.png)
![Creating Time Series Predictions using LSTM Neural Networks: Normalizing Price and Tokenizing Time](https://c.mql5.com/2/82/Creating_Time_Series_Predictions_using_LSTM_Neural_Networks___LOGO.png)
This article outlines a simple strategy for normalizing the market data using the daily range and training a neural network to enhance market predictions. The developed models may be used in conjunction with an existing technical analysis frameworks or on a standalone basis to assist in predicting the overall market direction. The framework outlined in this article may be further refined by any technical analyst to develop models suitable for both manual and automated trading strategies.