Zaitun Time Series v.0.2.1

Zaitun Time Series is a free and open source software designed for statistical analysis of time series data. It provides easy way for time series modeling and forecasting.Zaitun Time Series is a free software. It can be used for any purpose, includes for commercial use.Why Zaitun Time Series * Simple and easy to use The interface is designed by considering the ease of user. The interface is consisted of three main views, they are project view, variable view, and result view which simplify the management of the time series data and the analysis or forecasting result. * Sophisticated analysis models Zaitun Time Series provides several statistics and neural networks models, and graphical tools that will make your work on time series analysis easier. o Statistics dan Neural Networks Analysis: Trend Analysis, Decomposition, Moving Average, Exponential Smoothing, Multiple regression, Correlogram, Neural Networks. o Graphical Tools: Time Series Plot, Actual and Predicted Plot, Actual and Forecasted Plot, Actual vs Predicted Plot, Residual Plot, Residual vs Actual Plot, Residual vs Predicted Plot. * A simple way to do data forecasting Data forecasting can be done in an easy way, only by clicking the Forecasted option and fill the number of data forecasting step. The result of forecasting in graphical view can be showed only by clicking the Actual and Forecasted option. * Stock market data Zaitun Time Series has a capability to deal with the stock market data. It is facilitated with the stock data type which can help the visualization of the stock market data in a candle stick graph. Zaitun Time Series also has a feature to import live stock market data from online stock data provider like Yahoo Finance. This feature is very helpful especially for the user who wants to do analysis on the stock data movement and make a prediction on the values of the stock data for the next few days. Zaitun Time Series FeaturesZaitun Time Series provides several features that will make your work on time series analysis easier. * Creating a time series data in certain frequency logo inaictaZaitun Time Series has facility that helps user to make the new project which will be filled with time series data in certain frequency. The frequencies consists of annual, semi annual, quarterly, monthly, weekly, daily, daily (1 week, 6 days), daily (1 week, 5 days), and the sequence of time series data which has an unidentified frequency. * Variable and Group Time series data in Zaitun tme Series is organized into variable and group. The variable in Zaitun Time Series represents a single time series variable. Group represents the collection of time series variables. * Spreadsheet View, Graphic View, and Statistics View To simplify the userd-deOaos job, user can view the value of variable and group in three views, they are spreadsheet view, graphic view, and statistics view. Spreadsheet view shows the value of variable in a grid which will simplify the process of entry or change the value of variable. Graphic view will show the variable in a graphic line which will simplify the graphical analysis of the component of the time series variable (e.g. trend, cycle, seasonal, and irregular). Statistics view shows the descriptive statistics which simplify the analysis of statistical characteristic of a variable. View * Time series analysis model The model of statistics and neural network to do the analysis and forecasting of time series data are available, they are: o Trend Analysis. Zaitun Time Series provides a feature to analyze trend component of a time series data. There are several trend types available e.g. linear trend, quadratic trend, cubic trend, and exponential trend. o Decomposition. Zaitun Time Series provides a feature to perform decomposition analysis of a time series data. o Moving Average. Zaitun Time Series provides feature to perform moving average analysis of a time series data. Single moving average analysis and double moving average analysis are available. o Exponential Smoothing. Zaitun Time Series provides a feature to perform exponential smoothing analysis of a time series data, includes single exponential smoothing, double exponential smoothing Brown, double exponential smoothing Holt, and triple exponential smoothing Winter. o Multiple Linear Regression. Zaitun Time Series provides the feature to do the multiple linear regression analysis. o Correlogram. Zaitun Time Series provides a feature to display autocorrelation function (ACF) value and graphic of a time series data. o Neural Networks. Zaitun Time Series provides a feature to perform neural network modeling of a time series data. * Graphical Tools GraphThere are some graphs which help the user to understand the data and the result of analysis, they are: o Time Series Plot. show line plot of a variable o Actual and Predicted Plot. show line plot for actual and predicted values of model. o Actual and Forecasted Plot. show line plot for actual and forecasted values of model. o Actual vs Predicted Plot. show scatter plot between actual and predicted values. o Residual Plot. shows line plot for residual values of model. o Residual vs Actual Plot. show scatter plot between residual and actual values. o Residual vs Predicted Plot. show scatter plot between residual and predicted values. * Variable Transformation Import DataZaitun Time Series provides the facility to transform the variable. Several types of supported transformation are differencing, seasonal differencing, logarithm, and quadratic equation. * Import and Export the Data Zaitun Time Series is facilitated with the import and export data feature which are able to import and export the data from and to excel and CSV file. This feature will make the work easier, especially for user with different format of data. * Stock data type Stock Data TypeStock data type helps the user to view their stock market data easily with the spreadsheet view and graphic view with a candlestick graph which helps the user to analyze the movement of the stock market data easily. * Online historical stock market data import feature Zaitun Time Series has a feature to import live stock market data from online stock data provider such as Yahoo Finance. This feature is very useful especially for people who have an intensive interaction with the stock market in order analyze the market or trade the market. They can easily import the stock market data from online data provider to Zaitun Time Series and then choose the right method available in Zaitun Time Series to make a prediction of the next movement of the stock market data. The result of prediction helps them to decide whether to buy or sell the market or do nothing.

Zaitun Time Series is a free and open source ...

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