Create

Enter the list of target variable data. Use comma, tab, new line, etc. as separators. If this is not a new project, the data will be merged with existing data. You can enter only new data. Up to 438000 entries.

Enter the label for the first observation based on data type and frequency. The rest will be auto-generated. You can also define a full list. Details

Enter a meaningful title related to the target variable. You can define it for different cultures. Between 5 and 100 characters.

Provide a one-paragraph description of the project. You may localize per culture. Between 40 and 320 characters.

Choose when the survey should end — at least 5 minutes from now. Ideally, this should be before any new data is reported or observed. If new data is released frequently, consider using shorter survey sessions.

Specify whether participants can see others’ opinions before submitting theirs. Others’ opinions may influence their expectations.

Specify whether participants can view external predictions before responding. External predictions may affect their expectations.

Define how many future periods participants should forecast.

Define the required future periods participants must predict. It cannot exceed the forecast horizon.

Specify whether you intend to change the variable’s rules and properties in the future. Changes can affect survey consistency.

Please suggest a topic for this project. The topic should clearly reflect the project's area of focus — for example, finance, macroeconomics, etc. Manager has 10 votes. Between 2 and 25 characters.

Provide a detailed description of the project. Between 160 and 8000 characters.

Enter a list of unique IDs of projects related to this one. Up to 5 entries.

Specify the unit of the target variable.

If available, provide the link to the data source. Markdown is supported. Between 3 and 1000 characters.

Choose how many observations to display by default on the chart.

If supported by the frequency of the target variable’s data, you can prevent the creation of survey periods that extend beyond the publication of new data by setting this coefficient. For example, with monthly data, a value of 0 means no survey for ... January should be created in February. A value of 0.5 means such surveys should not be created after mid-February.

Enter exogenous forecasts, such as those generated by time series models or machine learning algorithms. Label each forecast clearly. Details on formatting are explained here. Write each forecast on a ... separate line, or separate them using semicolons or tabs.

Specify the minimum and maximum plausible values for the variable. This helps prevent extreme or unrealistic responses and improves chart visualization. If not provided, the default range is estimated using the last value ± 3 times the standard ... deviation (might fail if std is NaN).

Optionally, provide a description of the external predictions. Between 20 and 480 characters.