TradingSolutions Glossary

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Data Field

See Field.

Data Groups

See Subgroups.

Data Series

A collection of data fields associated with a single ticker symbol. A typical data series for a stock may have high, low, open, close, and volume fields, along with other fields that process that data.

Date Delimiter

The character used to separate the components of a date. For example, the date 08/30/1966 uses the forward slash (/) as the date delimiter.

Date Order

The order of the month, day, and year components of a date. For example, MDY would indicate the date would appear in the order month, day, year (08/30/1966).

Date Range

The range of data used for a particular operation, delineated by the dates associated with that data. Date ranges typically have a start and end date. If a start date is not specified, the first available date is used. If an end date is not specified, the last available date is used.

Decimal Places

The number of digits after the decimal point used to express fractional numbers. Values beyond the specified number of decimal places are rounded.

Deferred Fields

Fields that still require processing because the previous processing for them has been cancelled. To process deferred fields, select Resume Deferred Processing from the Tools menu or press the Resume Deferred Processing button on the toolbar. If these options are not available, no fields are currently deferred.

Delay Synapse

A component in a neural network that behaves the same as a synapse, but delays the output for one sample.

&  For help with neural network components, see the Advanced Topology Settings Dialog help.

Delta (Options Trading Usage)

The amount that the price of an option will change for a one point move of the price of the underlying security.

Description

A short text describing the usage of a function definition, entry/exit system, or trading solution. A more complete text on the usage and values can be stored in the notes for that definition. Descriptions are also available for the groups that contain these definitions.

Desired Output

A field used during the training of a neural network to indicate the value that should result from a given set of inputs. The value of the desired output is compared to the value being produced by the network to determine the error to be used during backpropagation.

Dialog

A window in the interface that appears above the rest of the program windows. In most cases, a dialog must be dismissed by pressing an OK or Cancel button before any new activities in the program can be performed.

Display Date

The date that is associated with the display fields in the Portfolio View. By default, the display date is set for the current day; however, it can be set to previous days to compare previous values.

Display Field

A value that is displayed in the Portfolio View. Typically, display fields are used to keep an eye on the current entry/exit signals for the stocks you are interested in. However, they can also be used to compare aspects of different stocks.

Distribution

The beginning of a bear market. After most investors are discouraged with the rising prices of a bull market, current investors begin selling shares at their new high price.

DLL

See Dynamic Link Library.

Drag and Drop

A general term referring to a way of interacting with the program. Drag and drop involves putting the mouse over an item, pressing and holding down the left mouse button, moving the mouse to a new location to which the item should be moved, and releasing the button.

Draw Down

The maximum amount of equity that a trade or trading strategy loses during open trades. This can be calculated from the initial investment or from the highest equity.

Dynamic Link Library (DLL)

A file that contains a library of functions usable by other programs. Dynamic link libraries (DLLs) typically have the extension ".dll". The Custom Solution Wizard can be used to produce DLLs with the functionality of breadboards created with NeuroSolutions.

Dynamic Neural Network

A type of neural network that includes memory elements or recursion that allow it to identify patterns that occur over multiple samples. This is different from a static neural network, which examines only the patterns between the current set of inputs. Time-lag recurrent networks and recurrent networks are examples of dynamic neural networks.

&  For help with neural network topologies, see the Modify Field Dialog: Prediction Model page help.