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len(data) < 60: print("Not enough historical data to make a prediction. Try an earlier date.") return # Prepare the data closing_prices = data['Close'].values[-60:] # Last 60 days scaler = MinMaxScaler(feature_range=(0, 1)) scaled_data = scaler.fit_transform(closing_prices.reshape(-1, 1)) # Make