Zaitun Time Series provides several features that will make your work on time series analysis easier.

• Creating a time series data in certain frequency
  Zaitun 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 user’s 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.
  
• 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:
  • 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.
  • Decomposition. Zaitun Time Series provides a feature to perform decomposition analysis of a time series data.
  • 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.
  • 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.
  • Multiple Linear Regression. Zaitun Time Series provides the feature to do the multiple linear regression analysis.
  • Correlogram. Zaitun Time Series provides a feature to display autocorrelation function (ACF) value and graphic of a time series data.
  • Neural Networks. Zaitun Time Series provides a feature to perform neural network modeling of a time series data.
• Graphical Tools
  There are some graphs which help the user to understand the data and the result of analysis, they are:
  • Time Series Plot. show line plot of a variable
  • Actual and Predicted Plot. show line plot for actual and predicted values of model.
  • Actual and Forecasted Plot. show line plot for actual and forecasted values of model.
  • Actual vs Predicted Plot. show scatter plot between actual and predicted values.
  • Residual Plot. shows line plot for residual values of model.
  • Residual vs Actual Plot. show scatter plot between residual and actual values.
  • Residual vs Predicted Plot. show scatter plot between residual and predicted values.
• Variable Transformation
  Zaitun 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 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.