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of its past. He writes extensively in industry publications such as Futures Magazine and Active Trader and was featured as a Market Master in the book The Universal Principles of Successful Trading by Brent Penfold (Wiley, 2010). Out-sample-evaluations criteria Comparisons of the predictive powers of the trained models are determined by the use of the following metrics. DataFrame(x_valid_scaled) #using gridsearch to find the best parameter params 'n_neighbors 2,3,4,5,6,7,8,9 knn eighborsRegressor model GridSearchCV(knn, params, cv5) #fit the model and make predictions t(x_train, y_train) preds edict(x_valid) Results #rmse rms 115. If you have some ideas for features that can be helpful in predicting stock price, please share in the comment section. On the other hand, Emenike (2010) studied the NSE market returns series using monthly data of the All-Share-Index for the period January 1985 through December 2008.

In this study, the iterative scheme will be applied for the minimization. For our study, we will apply the Feed-forward multilayer perceptron (MLP) neural network models with a single hidden layer.

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The out-of-sample evaluations reports of the estimated neural network are given in Table. The approximating sum of squares function will have a stationary point when its gradient is zero, that is: CBN Journal of Applied Statistics Vol. 5.2 (December, 2014) 39 Model rmse MAE nmse tech ( 3-3-1) model with.001.10546.09087.77797.455.3. Lets plot the target variable to understand how its shaping up in our data: #setting index as date df'Date' dex df'Date' #plot gure(figsize(16,8) ot(df'Close label'Close Price history In the upcoming sections, we will explore these variables and use different techniques to predict the daily closing. Serial Correlation in Time Series Analysis. Testing the efficiency of selected African stock markets. Stock prices following a random walk imply that the price changes are independent of one another as the gains and losses Kendal, (1953). Hence, it can be concluded that the model is adequate.

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