<jupyter_start><jupyter_text>27 March Prediction = **46351.24609375 BTC/USDT**27 March 02.22AM (Istanbul Time) = **46564.0000 BTC/USDT**<jupyter_code>prediction = np.array([[44331,44818,44090]])
X_testt = scaling.inverse_transform(X_test[0])
prediction_new = np.array([[(X_test[0][0]/X_testt[0]*prediction[0])]])
predictions = gruMODEL.predict(prediction_new)[0][0]
predictions = np.array([[predictions]]) * prediction[0][0] / prediction_new[0][0][0]
f"27 March Prediction is {predictions[0][0]} BTC/USDT"
print("27 March Accuracy: ")
real = 46564
predict = predictions[0][0]
accuracy = 1- (real - predictions[0][0]) / real
print("Accuracy: {}".format(accuracy))<jupyter_output>27 March Accuracy: 
Accuracy: 0.9954309357819345
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