Relational Node

This solver provides various ways to compare Input A to Input B, or one solver’s output to another solver’s output.
Reminder, the Long output is a separate calculation from the Short output, therefore this node does not compare the Long output to the Short output and vice versa. Review the BloodHound Output section for more information.

BloodHound v2

This section is specific to BloodHound v2 Property Inspector's elements. The node functions exactly the same in BloodHound v1 and v2.

Properties tab

This tab contains the essential settings for all nodes.

Modifiers

Click to see documentation

This section provides quick access to commonly used output modifiers.
Please note: The buttons only modify the individual instance of the selected node(s) on a Logic Board. Thus, the buttons are only visible when a node is selected on the Logic Board. The buttons are not available when a solver is selected in the Solvers panel, because the original solver's output can not be globally modified.
This behavior is consistent with adding a function node afterwards, so that the original solver's output remains unmodified elsewhere in the system. It is similar to having an SMA(50) on several charts. Changing the plot color on one chart does not modify the plot color on the other charts.

Enable button

Invert button

Swap button

Properties

These setting only apply to the selected Programmer node. Programmer nodes are single instances, unlike Solvers that can have multiple instances of themselves.

Options

Compare Mode

A > B This mode checks if Input A is greater than Input B. If the Long Confidence value at Input A is greater then Long Confidence value at Input B the Long side is true. If the Short Confidence value at Input A is greater then Short Confidence value at Input B the Short side is true. See the Output section below to determine how the output works. A < B This mode checks if Input A is less than Input B. If the Long Confidence value at Input A is less then Long Confidence value at Input B the Long side is true. If the Short Confidence value at Input A is less then Short Confidence value at Input B the Short side is true. See the Output section below to determine how the output works. A = B This mode checks if Input A is equal to Input B. If the Long Confidence value at Input A equals the Long Confidence value at Input B the Long side is true. If the Short Confidence value at Input A equals the Short Confidence value at Input B the Short side is true. See the Output section below to determine how the output works. A >= B This mode checks if Input A is greater or equal to Input B. If the Long Confidence value at Input A is greater or equal to the Long Confidence value at Input B the Long side is true. If the Short Confidence value at Input A is greater or equal to the Short Confidence value at Input B the Short side is true. See the Output section below to determine how the output works. A <= B This mode checks if Input A is less or equal to Input B. If the Long Confidence value at Input A is lessor equal to the Long Confidence value at Input B the Long side is true. If the Short Confidence value at Input A is less or equal to the Short Confidence value at Input B the Short side is true. See the Output section below to determine how the output works. A != B This mode checks if Input A does not equal Input B. If the Long Confidence value at Input A does not equal the Long Confidence value at Input B the Long side is true. If the Short Confidence value at Input A does not equal the Short Confidence value at Input B the Short side is true. See the Output section below to determine how the output works. A - B This mode performs the mathematical calculation A – B. The Long output will equal the result of subtracting the Long Confidence value at Input B from the Long Confidence value at Input A. The Short output will equal the result of subtracting the Short Confidence value at Input B from the Short Confidence value at Input A. The Output section parameters have no affect and are not used. B - A This mode performs the mathematical calculation B – A. The Long output will equal the result of subtracting the Long Confidence value at Input A from the Long Confidence value at Input B. The Short output will equal the result of subtracting the Short Confidence value at Input A from the Short Confidence value at Input B. The Output section parameters have no affect and are not used. |A - B| This mode performs the mathematical calculation Absolute(A – B). The Long output will equal the mathematical absolute of subtracting the Long Confidence value at Input B from the Long Confidence value at Input A. The Short output will equal the mathematical absolute of subtracting the Short Confidence value at Input B from the Short Confidence value at Input A. The Output section parameters have no affect and are not used.

Output

Output If True

This parameter is only used when Compare Mode is set to a comparison operation such as A > B, A < B, A = B, etc. When this parameter is set to 1, and the Compare Mode calculation equates to true the Output will = 1. IE, Compare Mode is set to A > B. Input A Long confidence = 0.89 and Input B Long confidence = 0.45. A is greater than B so the result is True and the Long Output will = 1. The Short confidence is calculated separately in the same way.

Output If False

This parameter is only used when Compare Mode is set to a comparison operation such as A > B, A < B, A = B, etc. When this parameter is set to 1, and the Compare Mode calculation equates to false the Output will = 1. IE, 1) Compare Mode is set to A > B. Input A Long confidence = 0.89 and Input B Long confidence = 0.45. A is greater than B so the result is True and the Long Output will = 0. 2) Compare Mode is set to A > B. Input A Long confidence = 0.12 and Input B Long confidence = 0.53. A is less than B so the result is False and the Long Output will = 1. The Short confidence is calculated separately in the same way.

Options tab

This tab contains extra secondary settings common to all nodes.

Weight

Click to see the Weight documentation

This section is used to modify the node's final output value. It is only useful for designing fuzzy logic systems, or a fuzzy logic section of a system.
Please note: The Weight controls only modify the individual instance of the selected node(s) on a Logic Board. Thus, the Weight controls are only visible when a node is selected on the Logic Board. The controls are not available when a solver is selected in the Solvers panel, because the original solver's output can not be globally modified.
This behavior is different than BloodHound 1.0. In BH 1.0, the Weight controls modified the nodes output globally (every instance). This change in BH 2.0 adds more system design granularity.

Multiply Output: This takes the internal values (the Long and Short values determined via the Properties tab » Output Rules section) and multiplies them by this value. Note: the final output will not exceed a value of 1, as described in the Slider control below.

Slider control: The slider constrains the final output to a value of 0 to 1. The left side of the slider sets a minimum value that is output regardless if the solver condition is true or not. The right side sets a maximum value that is output. The output is capped.
e.g. Three indicator conditions are being checked, and thus three solvers are created. Only two out of the three indicator conditions are needed. An Additive logic node is used to add the solver's outputs together. Just two out of the three solvers need to add up to a value of 1. Therefore, the right slider (max output value) for all three solvers is set to 0.5. When two indicator/solver conditions are found, thus the outputs = 0.5, then the calculation, in the Additive node, is 0.5 + 0.5 + 0 = 1. A value of 1 means the two out of three condition is true.

Hedge Operation: This applies a mathematical formula to the internal value.

None: No modification is applied.
Very (square output): A squaring formula is applied. Output = value^² .
Somewhat (square root output): A square root formula is applied. Output = √value .

Description

This text area provides a place to write a full description of what the node is doing, used for, or what ever you want.
Note: The Description is global to all instances of the node. It is not applied individually to each instance as the Weight controls are.

Help tab

This tab displays the documentation page (from this web site) of the selected node.
Please note: NinjaTrader v8.0.26.0 or newer is required for the built in web viewer to work, and thus the documentation to be displayed.

Video Tutorial

This video shows BloodHound v1, however the settings and usage are the same.

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BloodHound v1

This section is specific to BloodHound v1. Scroll up for BloodHound v2.

Relational Node

This parameter is only used when Compare Mode is set to a comparison operation such as A > B, A < B, A = B, etc. When this parameter is set to 1, and the Compare Mode calculation equates to false the Output will = 1. IE, 1) Compare Mode is set to A > B. Input A Long confidence = 0.89 and Input B Long confidence = 0.45. A is greater than B so the result is True and the Long Output will = 0. 2) Compare Mode is set to A > B. Input A Long confidence = 0.12 and Input B Long confidence = 0.53. A is less than B so the result is False and the Long Output will = 1. The Short confidence is calculated separately in the same way.

Video Tutorial

Click the YouTube logo or the Full Screen ⇑ icon
to expand the size.

Relational Node

This solver provides various ways to compare Input A to Input B, or one solver’s output to another solver’s output.
Reminder, the Long output is a separate calculation from the Short output. Review the BloodHound Output section for more information.

Parameters

Display

Behavior

Options

Compare Mode

Output

Output If True

Output If False

This parameter is only used when Compare Mode is set to a comparison operation such as A > B, A < B, A = B, etc. When this parameter is set to 1, and the Compare Mode calculation equates to false the Output will = 1. IE, 1) Compare Mode is set to A > B. Input A Long confidence = 0.89 and Input B Long confidence = 0.45. A is greater than B so the result is True and the Long Output will = 0. 2) Compare Mode is set to A > B. Input A Long confidence = 0.12 and Input B Long confidence = 0.53. A is less than B so the result is False and the Long Output will = 1. The Short confidence is calculated separately in the same way.

Video Tutorial

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General

BloodHound

Other Indicators

BlackBird

Risk Disclosure

Relational Node

BloodHound v2

Properties tab

Properties tab

Output Modifiers