Purpose: A deep learning model that accurately predicts Tesla stock closing prices using the market data (open, high, low, and volume).

Tech Design: Built using TensorFlow and Keras to create a robust neural network architecture (256–128–64 units) with ReLU activation to improve prediction accuracy.

How to use? u have to do nothing just have to moniter the predictions it will automaticaly fetch the data that it want to predict the closing price...and all u just have to see the closing price prediction that matters for u...

Performance Ready: Trained on real stock data, tested with tuff dataset but, have performed pretty well, accuracy is always up to 90%.