Comparison Solver

The Comparison solver analyses the relationship between two input sources, Input A and Input B. It analyzes whether Input A is; above Input B by a certain distance, below Input B by a certain distance, or near Input B within a certain distance.
Tip: If you want to compare an indicator to two fixed numeric values, then use the Threshold solver.

BloodHound v2

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

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

Global Properties

These setting apply to all instances of the selected solver. Changing a setting in one of the instances changes the setting in all instances. If you only want to change one of the solvers, but not the others, you must make a copy of the solver. The copy will be a different solver, and a number will be added at the end of the name to differentiate it from the original.

Behavior

This option determines which outputs are calculated. Effectively turning off either the Long or Short output.

Evaluate

Input A

This is the first input data to be evaluated against Input B. Use the Type drop-down menu to select the data type.
The menu will change based on which data type is selected. Click on Type to see the various data types available and the corresponding documentation.

Click to see the Input » Type documentation

The Input section determines the data type to be evaluated. Use the 'Type' menu to select the data type. See below for detailed information on each data type.

Type: Fixed Value

Fixed Value

Fixed Value allows you to specify a single value that never changes, similar to the Threshold solver. This may be useful for instance when you require a fixed level or value to compare against, such as with the Comparison solver.
For example, detecting low volume bars. If 100 shares or less per bar is considered low volume, then 100 would be the fixed value to compare against Volume.
Note: Using Fixed Value does not make sense for solvers that only have one input. Such as the Inflection, Slope, Change In Slope, etc. solvers.

Type: Price

This option allows price data to be used in the solver. The price data can be shaped/manipulated by the various settings before it is used by the solver.

Custom Prices
SharkIndicators has custom system development prices that are very useful in reducing the number of solvers, and simplifying system logic, when evaluating the open and close (body) prices.
Body Top: Regardless of the bar direction, this returns the upper price of the candlestick body. Either the close or open price. Whichever is on top. e.g. For an up bar, the Body Top equals the close price.
Body Median: This returns the median price of the candlestick body. The formula is (Close + Open) ÷ 2.
Body Bottom: Regardless of the bar direction, this returns the lower price of the candlestick body. Either the close or open price. Whichever is the bottom. e.g. For an up bar, the Body Bottom equals the open price.

Price Type Long

Price Type Short

Lookback Period

Long Lookback Processing

Select how to process the price data in the Lookback Period. This process is used for calculating the Long output only.

Single Value: This returns the price from a historical bar referenced by the Lookback Period. No data processing is done. This makes the Lookback Period behave just like the Displacement parameter.

Average Values: This mode returns the average of the Price Type Long prices within the Lookback Period.

Max Values: This mode returns the highest selected price within the Lookback Period. It searches the Lookback Period historical bars and returns the highest value found. I.E. This is used when you want to use the highest High price of the previous 10 bars by setting Price Type Long = High and Lookback Period = 10.

Min Values: This mode returns the lowest selected price within the Lookback Period. It searches the Lookback Period historical bars and returns the lowest value found. I.E. This is used when you want to use the lowest High price of the previous 10 bars by setting Price Type Long = High and Lookback Period = 10.

Short Lookback Processing

Select how to process the price data in the Lookback Period. This process is used for calculating the short output only.

Average Values: This mode returns the average of the Price Type Short prices within the Lookback Period.

Max Values: This mode returns the highest selected price within the Lookback Period. It searches the Lookback Period historical bars and returns the highest value found. I.E. This is used when you want to use the highest Low price of the previous 10 bars by setting Price Type Short = Low and Lookback Period = 10.

Min Values: This mode returns the lowest selected price within the Lookback Period. It searches the Lookback Period historical bars and returns the lowest value found. I.E. This is used when you want to use the lowest Low price of the previous 10 bars by setting Price Type Short = Low and Lookback Period = 10.

Type: Volume

Volume will feed the current bar volume into the solver.
To evaluate the volume from a few bars back, use Indicator Value. Then select the VOL indicator, and use the Displacement setting.

Type: Indicator Value

Indicator

This is the default setting and most commonly used Input type. This allows the selection of any installed indicator that has one or more of the following output types; a Plot or Series<T>. A Plot is the plotted line or bar seen on the chart (e.g. the SMA line, RSI line, Volume bars, etc.), which always has a numeric value seen on the right or left edges of the chart. A Series<T> is not visible on a chart, but contains data like a plot and is readable by BloodHound. A Series<T> can contain the indicator’s main value, extra sub-data, or sometimes a signal of some kind. Note: Some NinjaTrader indicators are Not readable, per their design.
Tip: A signal value is typically +1, 0, or -1.
Technical note for programmers: BloodHound can read Series<T> data types Bool, Int, Double, and Long.

Select Indicator window

Clicking on the ellipsis button (to the right of the indicator) opens the Select Indicator window. This window is used to;
1) Select the indicator
2) Set the indicator properties
3) Select the Plot or Output you want the solver to analyze.

Search box: Typing the first three letters of an indicator will create a shorter filtered list of indicators to quickly find the indicator you are looking for.

Refresh Indicator List button: This button is only used once after a new indicator has been installed. It initiates rebuilding an updated list of indicators. If the newly installed indicator does not listed, please see the next section below. Also, a menu item to perform this same task has been added to the NinjaTrader Control Center » Help menu » SharkIndicators menu.

Add New button: Instead of double clicking on an indicator to add it, this button can be used.

Nest Input button: This provides a way to feed the output of one indicator in to the input of another indicator (e.g. Smoothing the CCI by nesting/feeding it in to the SMA indicator). Watch this video for more info on the process... How to Perform Indicator Nesting Within a Solver

Remove button: Use this to remove nested indicator from the list (in the bottom area).

Indicators Missing From the List
If an indicator is missing from the Select Indicator window, that means the indicator does not have a readable output or may have thrown an error when building the list. Or, the indicator may only draw information on the chart using custom graphics routines which are not readable.
In order for BloodHound to read 3rd party indicators the developer must follow NinjaTrader’s Best Practices for 3rd Party Developers > Expose Indicator States. This video will help you determine if your favorite 3rd party indicator has an output that is readable… How to analyze custom indicators in BloodHound.

Displacement

The Displacement parameter works the same way as the NinjaTrader Displacement parameter. It is used to analyze indicator values from previous bars back. On the chart, the Displacement moves the indicator plot forward X number of bars on to the current bar. Essentially, the same is occurring internally. the indicator value X number of bars back is moved forward on to the current bar. The Displacement operates on the chart/time-frame the solver is set to.
e.g. Setting Displacement to 5 will have the solver use the indicator value from the 5th bar back. In effect, this shifts the indicator plot from 5 bars back to the current bar.
i.e. Suppose you want to analyze an indicator’s value 5 bars ago. Set the Displacement value to 5 and the solver will always use indicator data that is 5 bars in the past.

Type: Swing Point Prices

Swing Point Prices uses the Swing Highs & Lows indicator plots for input price data. This is useful when you need to access the lowest low or highest high prices from the latest swing point.
You can add the bundled indicator Swing Highs & Lows to the chart to help you visualize the price data the solver is using.

Number of Swings

Swing type

Swing strength

Double Top/Bottom strength

Use Close prices

Long: Bottoms or Tops

Long: Widest or Tightest

Short: Bottoms or Tops

Short: Widest or Tightest

Type: Linear Regression Channel

Input B

This is the second input data to be evaluated against Input A. For documentation scroll up to section Input A.
Use the Type drop-down menu to select the data type. The menu will change based on which data type is selected.

Output

Comparison Settings

Click to see the Rules window Introduction

The Rules window provides a more natural way to define charting conditions (a.k.a. trading system rules), and allows advanced combinations of multiple rules/conditions in a single solver, replacing BloodHound v1 need for multiple solvers to do the same complex task.

Rules Window Components

The individual rules can be expanded open or collapse close by clicking a rule's title bar. The title bar is the horizontal area with the word 'Fixed' or 'Range' within it.

Add Rule menu(top left): This menu adds the selected rule.
A Fixed rule is most commonly used. It provides a simple comparison of the Input to a numeric value or Input B.
A Range rule compares the Input to a lower and upper range limit of values. Or, a ranged distance between Input A and Input B.
Tip: To use a Range rule instead of a Fixed rule, delete the default Fixed rule, and then add a Range rule.

Output Calculation menu(top right): This defines how the output is determined when two or more rules exist and at least two of the rules are true.
First: The first rule that is true, starting at the top of the list and working down, that output value is used.
Largest: The largest output value from all the rules that are true becomes the output value. This is for fuzzy logic systems.
Smallest: The smallest output value from all the rules that are true becomes the output value. This is for fuzzy logic systems.
Average: The output values from all the rules that are true are averaged together and becomes the output value. This is for fuzzy logic systems.
Addition: The output values from all the rules that are true are added together and becomes the output value. This is for fuzzy logic systems.

Settings window: This applies to the Range rule. It provides more detailed control over the values being evaluated.
Outside - Inside: The evaluation can be either Inside the lower and upper range or Outside that range.
Exclude - Include: Include is equivalent to >= or <=. It include the values in the evaluation.
Exclude is equivalent to > or <, no equal. The lower and upper range values are not included in the evaluation.
Fixed Output - Ranged Output: The 'Fixed Output' outputs a simple digital type of output. Either the output is 0 (no output) or the value on the far right (usually 1).
Selecting the 'Ranged Output' enables the fuzzy logic capability of the solver. Two Output fields become visible. When the input value falls between the lower and upper range values, the solver's output is calculated by linearly interpolating between the two Output values.

Delete button: This deletes the rule. The Undo button can be used to restore it.

Comparison Rules widow

Fixed Rules:
The basic concept of a Fixed rule is to identify when Input A is, greater than Input B, lesser than a Input B, or equal to Input B.
Tip: Whenever a setting is changed, the sentence above the settings is modified to describe the condition being identified.

The name or value of Input A's indicator, bar price, or numeric value. If Input A and Input B have the same name the designation '(A)' will be appended to differentiate the two inputs, as seen in the image above.

This menu selects the above(>), below(<), or equal(=) condition to be identified. It only applies to Fixed rules.
= means 'equal to'. A = B.
!= means 'Not equal to'. A ≠ B.
> means greater than/above. A > B.
< means less than/below. A < B.
>= means equal or greater than/above. A ≥ B.
<= means equal or less than/below. A ≤ B.
e.g. SMA(A) > SMA(B) identifies when SMA(A) is above SMA(B). See Examples listed below for more info.

The name or value of Input B's indicator, bar price, or numeric value. If Input A and Input B have the same name the designation '(B)' will be appended to differentiate the two inputs.

④, ⑤, and ⑥ are combined together to create an offset distance between Input A and B. The offset distance is added or subtracted from Input B. Note that whenever a setting is changed, the sentence above the settings is modified to describe the condition being identified.
e.g. Looking at the image above, if the Long rule was adjusted to a setting of Low [ > ] SMA [Plus] [ 5 ] [Points], it would add 5pts to the SMA. Therefore, the Low price must be 5pts above the SMA for that condition to be true and a long output to be generated.

The Plus | Minus drop-down menu only appears when the condition ② is set to any of the above or below conditions. The = or != conditions removes the drop-down menu, because it does not apply.

This is a numeric input field. This value is combined with the Measurement Unit ⑥ to create the offset distance from Input B.

This sets the Measurement Unit for the offset distance between Input A and B.

This sets the output value when the condition is true. A value of 1 (meaning 100% confidence) is typical for most systems. Only advanced users, building a fuzzy logic system, should use a smaller value.

Range Rules:
A Range rule is used to identify when Input A is between two offset distances from Input B. ② and ③ stablish the ranged distance between the two Inputs. i.e. It identifies when Input A is within a ranged distance from Input B.
Tip: Whenever a setting is changed, the sentence above the settings is modified to describe the condition being identified.
e.g. Looking at the top rule in the image below, the Long rule will output value ⑥ when the Low is equal to the SMA to a maximum of 5pts above the SMA. The Short rule will output value ⑥ when the High is within a maximum of 5pts below the SMA or equal to the SMA.

This is a numeric input field, and is the lower/smaller value of the range to be identified. When Input A ① and Input B ⑤ are within range of each other, set by this value and value ③, the solver will output the value in ⑥.

This is a numeric input field, and is the upper/larger value of the range to be identified.

This sets the Measurement Unit for the distance, ② and ③, between the two Inputs.

The name or value of Input B's indicator, bar price, or numeric value. If Input A and Input B have the same name the designation '(B)' will be appended to differentiate the two inputs.

This sets the output value when Input A is within range of Input B. A value of (meaning 100% confidence) is typical for most systems. Only advanced users, building a fuzzy logic system, should use a smaller value.

Two Output fields, ⑥ and ⑦, appear when the Ranged Output option is enabled in the Settings menu. Only advanced users, building a fuzzy logic system, should enable this option.

This sets the output confidence value when Input A is at the lower/smaller value ② of the range from Input B. If the value in ⑦ is 1 (meaning 100% confidence), then this value should be less. And, vice-versa if this value is 1.

This sets the output confidence value when Input A is at the upper/larger value ③ of the range from Input B. If the value in ⑥ is 1 (meaning 100% confidence), then this value should be less. And, vice-versa if this value is 1.

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 is from our weekly Workshop on May 29th, 2015.
For more benefit please watch in full screen mode, as this video is recorded in HD.
This video shows BloodHound v1, however the concepts and principals are still the same.

Example: Show Long Signals Only When Price is Above an EMA (2 minutes)

Examples

Example 1A: A Basic Trending State
(Bar Above / Below SMA)

This example identify when the entire bar is above or below the SMA 14. A long output occurs when the bar is above, and a short when the bar is below.

Input A & B Settings:
Note that the Low price is used for the Long output calculation. That is because for the entire bar to be above the SMA, the bottom or lowest price must be above the SMA, or else the bar would be touching the SMA.

Set Input A » Type to Price.
Set the 'Price Type Long' to the Low price.
Set the 'Price Type Short' to the High price.
Leave Input B as the SMA 14.

Rules window Settings:
No changes are needed to the Rules window.

The chart below shows a Long output when the Low price is above the SMA 14, or a Short output when the High price is below the SMA 14. If there is no output, the bar is touching the SMA.

Example 1B: Setting a Minimum Separation Distance

This example identify when the SMA 14 is 5pts or more, above or below the SMA 50. A long output occurs when the SMA 14 is 5pts or more above the SMA 50, and and vise versa for a short output. There is no output when the SMA's are within 5pts of each other.

Input A & B Settings:

Input A is unchanged as the SMA 14.
Input B is adjusted to the SMA 50.

Rules window Settings:
Open the Rules window by clicking the ellipses button in section Output » Comparison Settings.

Note that setting ➄ is set to 5.

The chart below shows a Long output when the SMA 14 is 5pts or more above[>] the SMA 50, and a Short output when the SMA 14 is 5pts or more below[<] the SMA 50. In the two areas where there is no output, the SMA's are within 5pts of each other.

Example 1C: The Basics Using A Multi-Output Indicator

This demonstrates using the DM indicator with multiple plots. The Fixed rule is used to identify clear directional signals from the +DI & -DI plots. The Range rule is used to anticipate the beginning and ending of a trend direction by gradually increasing or decreasing the output value from 0.5 to 1 depending how far apart the DI plots are from each other, as seen in the chart below.

Input A & B Settings:

Set Input A to DM » +DI plot.
Set Input B to DM » -DI plot.

Rules window Settings:
Open the Rules window by clicking the ellipses button in section Output » Comparison Settings.

Set up the Fixed rule as show below.

The chart below shows the choppy signals from the indicator are filtered out. Note, when the DI plots are within 2 points of each other there is no output.

Example 1D: The Basics with Volume

This demonstrates using volume and a volume moving average with the Comparison solver. This example will generate a Long & Short output when the volume spikes above the volume moving average. Using the ATR as the Measurement Unit subjectively normalize the required amount for a volume spike, as the chart below shows.

Input A & B Settings:

Set Input A » Type to Volume.
Set Input B to VOLMA 14.

Rules window Settings:
Open the Rules window by clicking the ellipses button in section Output » Comparison Settings.

Set up the Fixed rule as show below.

The chart speaks for its self.

Example 2: Finding Higher Lows & Lower Highs

This demonstrates using the included Swing Highs & Lows indicator to identify higher lows (HL) and lower highs (LH). Input A is monitoring the indicator plots of the current bar. While, Input B is monitoring the indicator plots of the previous bar by setting the Displacement to 1. When the current bar's plot value differs from the previous bar's plot value the Comparison solver will detect that.

Input A & B Settings:

Set Input A to the Swing Highs & Lows indicator as shown below.
Set Input B to the Swing Highs & Lows indicator as shown below.
Set Input B » Displacement to 1.

Swing Highs & Lows Properties and Plots

Change the Swing Highs & Lows » Number of Swings property as shown.
Select the same plots for Input A & B.

Rules window Settings:
No changes are needed to the Rules window.

When the Widest Bottom (red hash) plot steps higher, a HL, a Long output is generated. When the Widest Top (green hash) plot steps lower, a LH, a Short output is generated.

BloodHound v1

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

Indicator Comparison Solver

Parameters

Display

Behavior

Input A

Type

Difference (A-B)

Large Amount

Use this setting when looking for a minimum separation distance between A and B. Sets the threshold value for condition Output → (A > B) By Large Amount or More and (A < B) By Large Amount or More to be used. This parameter must be greater than the Small Amount parameter. Measurement Sets the type of measurement to calculate the Max Value. Possible measurements are Points, Ticks, Renko Bricks, & ATRs.

Small Amount

Use this setting when determining if A and B are in close proximity to each other. Sets the threshold value for condition Output → (A > B) By Small Amount and (A < B) By Small Amount values to be used. This parameter must be less than the Large Amount parameter. Measurement Sets the type of measurement to calculate the Max Value. Possible measurements are Points, Ticks, Renko Bricks, & ATRs.

Input B

Type

Long Output

(A > B) By Large Amount or More

(A > B) By Small Amount

(A - B) Neutral

(A < B) By Small Amount

(A < B) By Large Amount or More

Short Output

Sets the solver’s Short output values as described in Long Output settings above.

Video Tutorial

This video is from our weekly Workshop on May 29th, 2015.
For more benefit please watch in full screen mode, as this video is recorded in HD.

Example: Show Long Signals Only When Price is Above an EMA (2 minutes)

Examples

Example 1A: The Basics

This demonstrates the basic function of Indicator Comparison solver with the use of a EMA 50 and the Closing price. This Solver will be used to determine if the Closing price is above or below the EMA 50.

Add the Indicator Comparison solver
Set Input A Type to Price
Set Input B to EMA 50

The chart below shows a Long signal when the Closing price is above the EMA 50, and a Short signal when the Closing price is below the EMA 50.

Example 1B: The Basics & A Little More

This demonstrates the use of Large Amount & Small Amount properties of the Solver with the same set up as above. This example sets the Solver to allow price to break through the EMA Support/Resistance line by 2 ticks and still provide a signal in the same direction with other indicator. As price moves from 2 ticks to 5 ticks away the output is reduced.

Add the Indicator Comparison solver
Set Input A Type to Price, and Input B to EMA 50
Set Large Amount to 5 Ticks
Set Small Amount to 2 Ticks
Set Long Output values as shown
Set Short Output values a shown

The chart below shows a Long & Short signal when the Closing price is within 2 ticks of the EMA. This is because Long Output (A < B) By Small Amount is set to 1, and Short Output (A > B) By Small Amount is set to 1 which causes a signal to occur even if the Closing price breaks the EMA, allowing for a more organic system.

Example 1C: The Basics Using A Multi-Output Indicator

This demonstrates using the DM indicator with multiple plots. The Large Amount property is used to filter out unclear & choppy signals from the +DI & -DI plots. The Small Amount property is used to anticipate a reversal in signal direction by providing a 0.7 output value set in Long Output (A < B) By Small Amount and Short Output (A > B) By Small Amount.

Add the Indicator Comparison solver
Set Input A to DM » +DI plot
Set Input B to DM » -DI plot
Set Large Amount to 8 Points
Set Small Amount to 2 Points
Set Long Output values as shown
Set Short Output values a shown

The chart below shows the choppy signals from the indicator were filtered out. Note A: When the +DI & -DI are within 2 points of each other an output in the opposite direction is given.

Example 1D: The Basics with Volume

This demonstrates using volume and a volume moving average with the Indicator Comparison solver. This example will generate a Long signal when volume spikes past the Large Amount, and generate a Short signal when volume drops below the Large Amount. The ATR is used in the Difference section to help normalize the volume’s volatility.

Add the Indicator Comparison solver
Set Input A Type to Volume
Set Input B to VOLMA 14
Set Large Amount to 100 ATRs
Set Small Amount to 0 ATRs
Set Long Output (A > B) By Small Amount to 0
Set Short Output (A < B) By Small Amount to 0

The chart speaks for its self.

Example 2: Finding Higher Lows & Lower Highs

This demonstrates using the built in Swing indicator of different Swing Sensitivity with the Indicator Comparison solver. Indicator A is configured for minor swings. Indicator B is configured for major swings. The Solver will look for higher low points of 15 ticks or greater for a Long signal, and lower high points of more than 15 ticks for a Short signal.

Add the Indicator Comparison solver
Set Input A Type to Swings
Set Input A values as show
Set Input B Type to Swings
Set Input B values as show
Set Large Amount to 15 Ticks
Set Small Amount to 10 Ticks
Set Long Output (A > B) By Small Amount to 0.5
Set Short Output (A < B) By Small Amount to 0.5

Notice on the chart, the lower high was 13 ticks instead of 15 ticks as set in Large Amount and a signal was given. This is because the Short Threshold is set to 0.8 (80%), the Small Amount is set to 10 ticks, and Short Output (A < B) By Small Amount is set to 0.5. At 10 ticks the output = 0.5. Small Amount to Large Amount is 5 ticks, so every tick = 0.1 in the output. Therefore 10 ticks = 0.5, next 3 ticks = 0.3. Result is 0.5 + 0.3 = 0.8

Indicator Comparison Solver

The Comparison solver analyses the relationship between input sources Indicator A and Indicator B. Both Long & Short outputs can be customized for multiple conditions.

Parameters

Display

Behavior

Short Output

Sets the solver’s Short output values as described in Long Output settings above.

Video Tutorial

This video is from our weekly Workshop on May 29th, 2015.
For more benefit please watch in full screen mode, as this video is recorded in HD.

Example: Show Long Signals Only When Price is Above an EMA (2 minutes)

Examples

Example 1A: The Basics

Add the Indicator Comparison solver
Set Input A Type to Price
Set Input B to EMA 50

The chart below shows a Long signal when the Closing price is above the EMA 50, and a Short signal when the Closing price is below the EMA 50.

Example 1B: The Basics & A Little More

Add the Indicator Comparison solver
Set Input A Type to Price, and Input B to EMA 50
Set Large Amount to 5 Ticks
Set Small Amount to 2 Ticks
Set Long Output values as shown
Set Short Output values a shown

Example 1C: The Basics Using A Multi-Output Indicator

Add the Indicator Comparison solver
Set Input A to DM » +DI plot
Set Input B to DM » -DI plot
Set Large Amount to 8 Points
Set Small Amount to 2 Points
Set Long Output values as shown
Set Short Output values a shown

The chart below shows the choppy signals from the indicator were filtered out. Note A: When the +DI & -DI are within 2 points of each other an output in the opposite direction is given.

Example 1D: The Basics with Volume

Add the Indicator Comparison solver
Set Input A Type to Volume
Set Input B to VOLMA 14
Set Large Amount to 100 ATRs
Set Small Amount to 0 ATRs
Set Long Output (A > B) By Small Amount to 0
Set Short Output (A < B) By Small Amount to 0

The chart speaks for its self.

Example 2: Finding Higher Lows & Lower Highs

Add the Indicator Comparison solver
Set Input A Type to Swings
Set Input A values as show
Set Input B Type to Swings
Set Input B values as show
Set Large Amount to 15 Ticks
Set Small Amount to 10 Ticks
Set Long Output (A > B) By Small Amount to 0.5
Set Short Output (A < B) By Small Amount to 0.5

General

BloodHound

BlackBird

Other Indicators

Comparison Solver

BloodHound v2

Properties tab

Properties tab

Output Modifiers

Modifiers

Global Properties

Global Properties

Behavior

Input A

Type: Fixed Value

Type: Price

Type: Volume

Type: Indicator Value

Type: Swing Point Prices

Type: Linear Regression Channel

Input B

Output

Options tab

Options tab

Weight

Weight

Description

Description

Help tab

Help tab

Video Tutorial

Example: Show Long Signals Only When Price is Above an EMA (2 minutes)

Examples

Example 1A: A Basic Trending State(Bar Above / Below SMA)

Example 1B: Setting a Minimum Separation Distance

Example 1C: The Basics Using A Multi-Output Indicator

Example 1D: The Basics with Volume

Example 2: Finding Higher Lows & Lower Highs

General

BloodHound

BlackBird

Other Indicators

BloodHound v1

Indicator Comparison Solver

Parameters

Input A

Difference (A-B)

Input B

Long Output

Short Output

Video Tutorial

Example: Show Long Signals Only When Price is Above an EMA (2 minutes)

Examples

Example 1A: The Basics

Example 1B: The Basics & A Little More

Example 1C: The Basics Using A Multi-Output Indicator

Example 1D: The Basics with Volume

Example 2: Finding Higher Lows & Lower Highs

General

BloodHound

BlackBird

Other Indicators

Indicator Comparison Solver

Parameters

Input A

Difference (A-B)

Input B

Long Output

Short Output

Video Tutorial

Example: Show Long Signals Only When Price is Above an EMA (2 minutes)

Examples

Example 1A: The Basics

Example 1B: The Basics & A Little More

Example 1C: The Basics Using A Multi-Output Indicator

Example 1D: The Basics with Volume

Example 2: Finding Higher Lows & Lower Highs

Example 1A: A Basic Trending State
(Bar Above / Below SMA)