## Regression Channel Width Solver

The Regression Channel Width solver measures the regression channel width to see if it is at least Min Width. This can be used to gather a sense of price movement volatility.

# BloodHound v2

**2**. Scroll down for BloodHound v1.

## Properties tab

## Properties tab

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.

### Global Properties

### Global Properties

### Behavior

#### Channel Parameters

#### Width Targets

## Options tab

## Options tab

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

### 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

## 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 is from our weekly Workshop on Sep 12th, 2012.

For more benefit please watch in full screen mode, as this video is recorded in HD.

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

### Examples

#### Example 1: The Basics

This demonstrates the basic function of Regression Channel Width solver. This Solver will be used to detect a channel width of at least 25 ticks, with an ideal width of 60 ticks.

- Add the Regression Channel Width solver
- Set Ideal Width to 60 Ticks
- Set Minimum Width to 25 Ticks

The three charts below show the progression of the channel widening and the related Solver output value. Note in the middle chart that the channel width is about half way between 25 to 60 ticks and the output is almost 0.5.

# BloodHound v1

**1**. Scroll up for BloodHound v2.

## Regression Channel Width Solver

### Parameters

#### Channel Parameters

#### Width Targets

### Video Tutorial

This video is from our weekly Workshop on Sep 12th, 2012.

For more benefit please watch in full screen mode, as this video is recorded in HD.