Formula Editor

The FintechOS Formula Editor is a complex tool found in the Studio. It is the place where a user writes an actual mathematical expressions and calculations. The FintechOS Formula Editor is found at the bottom of the “Add/Edit formula step” form.

For example, based on what a client inserts as data in his/hers KYC, the editor takes that information and uses the calculation formula inserted into the Editor to return data such as the net income of a loan applicant or the age limit for a contract or the insurance premium for a policy using complex arguments and functions. It is possible to test the formula inserted here by running a test. For more information about running a test, see Define Formula Expressions.

Syntax

In the Editor, a user inserts the formula that is built based on a given mathematical syntax whose structure is made of the formula body and the call for calculation which is the actual result.

IMPORTANT!  
When writing the formula, make sure that each formula matches to the step you are working on because the result may be used as input in the following steps.

Use the following syntax in the formula editor to define a formula output:

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result = <formula expression>;

For formulas that return collections, use the following syntax (make sure that the formula expression includes an iteration argument):

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result[i] = < ... iterationArgument[i] ... >;

For recursive formulas, define a simple type whole number formula and include a whole number argument in the Number of Iterations field (see Define Formula Expressions for details). For example, to generate a collection with the first x numbers in Fibonacci sequence, use a whole number input argument called x for the number of iterations (make sure x is greater than or equal to 2) and use the following formula expression:

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result[0] = 1; result[1] =1; result[i] = result[i-1] + result[i-2];

When the formula body is complex, needs periodic update or must be simplified for transparency and traceability, we suggest you split it in separate steps, each with its own expression.

NOTE  
You can include multi-line C# code in the formula expression, as long as you assign a result value:
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var a = 1;
var b = 2;
result = a + b;

The order of execution between operations such as addition “+”, substraction “-“, multiplication “*” and division “/” is respected and you can further control this by using parantheses () or by splitting the formula in steps.

In a formula receiving an argument data of a complex type with properties A,B,C of type string and D,E of type numeric, we can write:

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var result = FROM(data).GROUPBY(["A","B"]).SUM("D");

The result will be a collection of items with properties A,B and C, where C will be the SUM for the group determined by the content of properties A and B

Pressing Ctrl+Space will launch the Intellisense that can help you learn more about the formula you are editing, keep track of parameters you’re typing, add calls to functions and various information with only a few keystrokes.

Formula can be of the following types:

  • constant f = sum(1,n)
  • linear f(x) = 2*x+1 , where x = 1,100
  • 2-dimensional f(x,y) = x*y+30;
  • n-dimensional etc.
  • recursive f(x) = f(x-1)+20.
HINT  
Already pre-defined Steps also appear in Intellisense since they can be called in any subsequent step.

Click the ''Save and Close'' button.

Formula Arguments

Primary formula arguments are defined in the formula input (see Define Formula Inputs). For example, if we have defined an argument called days in our formula input, we can create a formula step called years to convert the number of days into years with the following expression:

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result = days / 365;

We can also use previous steps' outputs as arguments for subsequent step inputs. For example, after the above step, we can create a step that calculates an interest by multiplying the principal and rate input parameters with the years result from the previous step:

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result = principal * rate * years

 

Built-in Functions

You can include the following built-in functions in your formula expressions:

Function Description Example

Result
SUM(Vector)

SUM function can be used to add all numbers in a range of cells. The arguments can be numbers, cells references or formula-driven numeric values.

For instance, if you would like to calculate the sum of all items part of an array then you need to use an iteration formula.

 SUM([1, 2, 3])

6
ABS(Number) It returns the absolute value of the number. ABS(-3)

3
POWER(Number, Exponent) Calculates how many times to use the number in a multiplication. POWER(10,3) 1000
ODD(Number) Specifies if the number is odd. ODD(12)

false

EVEN(Number) Specifies if the number is even. EVEN(26)

true
TRUNC(Number) Truncates the number to a specified number of decimal places. TRUNC(17.51)

17
ROUND(Number, Precision) Rounds the number to the specified number of digits. ROUND(17.51)

18
ROUNDUP(Number) Rounds the number upward to the specified number of digits. ROUNDUP(-0.6)

0
ROUNDDOWN(Number) Rounds the number downward to the specified number of digits. ROUNDDOWN(1.9)

1
FLOOR(Number) Receives one parameter and rounds the number down. FLOOR(6.7)

6
IIF(Condition, TrueExpression, FalseExpression) IF function is a "conditional function" because it returns a value based on the condition that you specify.  

 
COUNT(Vector) Returns the number of numerical values (numbers and dates) in the list of arguments.  

 
COUNTIF(Vector, FilterExpression) Counts the number of cells within the range that meet the specified criteria.  

 
MIN(Vector) Returns the minimal value from the list of arguments in a row. MIN(1,2,3,5,6)

1
MAX(Vector) Returns the maximum value from the list of arguments in a row. MAX(111,22,33,44,55)

55
AVERAGE(Number1, Number2, Number3, …) Returns the average of the arguments. AVERAGE(1234,67543,5752)

24843
AVERAGE(Vector) Returns the average of the arguments in a row. AVERAGE ([4643,652348,83284])

246758
SUMIF(Vector, FilterExpression)

Adds up the cells in a specified range that meet a certain condition. SUMIF can evaluate only a single criteria.

“it” is a mandatory term, standing for “item” of an array, for all Filter Expressions in all formulas which evaluate an expression.

  

 

SELECT(Vector, TransformExpression)

 

SELECT (IncomeList, it * Database (''IncomeAdjuster''))

 
RANGE(Vector, RangeOperators) Navigate inside an array RANGE([1,2,3,4,5,6],SKIP(2)])

VECTOR(3,4,5,6)
SKIP(Number)

Combined with RANGE function, you can skip an item of an array, in case for example you would like to add all items except the 3rd one in the array.

  

 
TAKE(Number) Combined with RANGE function, you can take as many array items as indicated by the input parameter.  

 

Examples

For Simple types

Returns one of two values, depending on whether the Boolean Condition evaluates to true or false.

Syntax

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/**
* @param booleanCondition - condition that has to return true/false
* @param trueValue - the value that is returned if booleanCondition is evaluated as true
* @param falseValue - the value that is returned if booleanCondition is evaluated as false
* @returns - return trueValue or falseValue
*/
IIF(booleanCondition, trueValue, falseValue): boolean
 

Example

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//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 250
*/
result = IIF(COUNT(simpleCollection) > 0, SUM(simpleCollection)/COUNT(simpleCollection) , 0);
 

Returns the average of the numbers received as parameters.

Syntax

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/**
* @param {number} number1 - required, the first number for which you want the average
* @param {number} number2, ... - optional, additional numbers for which you want the average
* @returns {number} - the average of the numbers 
*/
AVERAGE(number1, [number2], ...): number
 

Example

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/*
Input:

Output:   
    result = 250
*/
result = AVERAGE(100, 200, 300, 400);
 

Returns the absolute value of a number

Syntax

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/**
* @param {number} number - the number of which you want the absolute value
* @returns {number} - the absolute value 
*/
ABS(number): number
 

Example

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/*
Input:
    num = -100
Output:   
    result = 100
*/
result = ABS(num);
 

Raises a number to a power

Syntax

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/**
* @param {number} number - the base number
* @param {number} exponent - the exponent to which the base number is raised
* @returns {number} -  
*/
POWER(number, exponent): number

Example

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/*
Input:
    num = 10
    exp = 2
Output:   
    result = 100
*/
result = POWER(num, exp);
 

Returns true if the integer number is odd, otherwise false.

Syntax

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/**
* @param {number} number - the number the needs to be verified
* @returns {boolean} -  
*/
ODD(number): boolean
 

Example

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/*
Input:
    num = 3
Output:   
    result = true
*/
result = ODD(num);

/*
Input:
    num = 2
Output:   
    result = false
*/
result = ODD(num);
 

Returns true if the integer number is even, otherwise false.

Syntax

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/**
* @param {number} number - the number the needs to be verified
* @returns {boolean} -  
*/
EVEN(number): boolean
 

Example

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/*
Input:
    num = 3
Output:   
    result = false
*/
result = EVEN(num);

/*
Input:
    num = 2
Output:   
    result = true
*/
result = EVEN(num);
 

Calculates the integral part of a specified decimal number.

Syntax

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/**
* @param {number} number - the number the needs to be truncated
* @returns {number} -  the integral part of the number
*/
TRUNC(number): number
 

Example

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/*
Input:
    num = 17.53M
Output:   
    result = 17
*/
result = TRUNC(num);

/*
Input:
    num = -17.53M
Output:   
    result = 17
*/
result = TRUNC(num);
 

Rounds a decimal value to a specified number of fractional digits.

Syntax

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/**
* @param {number} num - the number the needs to be rounded
* @param {number} precision - optional,  number of decimal places in the return value. The default value is 0
* @returns {number} -  The number nearest to num that contains a number of fractional digits equal to precision.
*/
ROUND(num, [precision]): number
 

Example

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/*
Input:
    num = -17.51M
Output:   
    result = -18
*/
result = ROUND(num);

/*
Input:
    num = 17.51M
    precision = 1
Output:   
    result = 17.5
*/
result = ROUND(num, precision);
 

Returns the smallest integral value that is greater than or equal to the specified decimal number.

Syntax

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/**
* @param {number} num - the number the needs to be rounded up
* @returns {number} -  the smallest integral value that is greater than or equal to the specified decimal number.
*/
ROUNDUP(num): number
 

Example

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/*
Input:
    num = -17.51M
Output:   
    result = -17
*/
result = ROUNDUP(num);

/*
Input:
    num = 17.51M
Output:   
    result = 18
*/
result = ROUNDUP(num);
 

Returns the largest integer less than or equal to the specified decimal number.

Syntax

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/**
* @param {number} num - the number the needs to be rounded down
* @returns {number} -  the largest integer less than or equal to the specified decimal number.
*/
ROUNDDOWN(num): number
 

Example

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/*
Input:
    num = -17.51M
Output:   
    result = -18
*/
result = ROUNDDOWN(num);

/*
Input:
    num = 17.51M
Output:   
    result = 17
*/
result = ROUNDDOWN(num);
 

Returns the largest integer less than or equal to the specified decimal number.

Syntax

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/**
* @param {number} num - the number 
* @returns {number} -  the largest integer less than or equal to the specified decimal number.
*/
FLOOR(num): number
 

Example

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/*
Input:
    num = -17.51M
Output:   
    result = -18
*/
result = FLOOR(num);

/*
Input:
    num = 17.51M
Output:   
    result = 17
*/
result = FLOOR(num);
 

For Collection types

Applies a function to each element of the collection and returns a new collection with the results of the function invocation.

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//Example
/*
Input:
    productCollection = [
        {"name":"Product1", "priceWithVAT": 100 },
        {"name":"Product2", "priceWithVAT": 200 }]

Output:   
    result = [100, 200]
*/
result = FROM(productCollection).SELECT(x=>x.priceWithVAT);

//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = [200, 400, 600, 800]
*/
result = FROM(simpleCollection).SELECT(x=>x * 2);
 

Applies a function to each element of the collection and returns a new collection with the filtered elements that respect the condition

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//Example
/*
Input:
    productCollection = [
        {"name":"Product1", "priceWithVAT": 100 },
        {"name":"Product2", "priceWithVAT": 200 }]

Output:   
    result = [200]
*/
result = FROM(productCollection).WHERE(x=>x.priceWithVAT>150).SELECT(x=>x.priceWithVAT);
 

Returns first element of the collection or the default value (0 for numeric elements). It goes well when used with WHERE and you are sure only one record is returned. ```javascript //Example /* Input: productCollection = [ {"name":"Product1", "priceWithVAT": 100 }, {"name":"Product2", "priceWithVAT": 200 }]

Output:

result = 200 */ result = FROM(productCollection).WHERE(x=>x.priceWithVAT>150).SELECT(x=>x.priceWithVAT).FIRSTORDEFAULT(),

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### GROUPBY ###
**Can only be used with agregate function SUM**

Returns a new collection grouped by a property of the object.
```javascript
//Example
/*
Input:
    productCollection = [
        {category: "Cat1", name:"Product1", priceWithVAT: 100, quantity: 1 },
        {category: "Cat2", name:"Product2", priceWithVAT: 200, quantity: 2 },
        {category: "Cat1", name:"Product3", priceWithVAT: 300, quantity: 3 }]

Output:   
    result = [
      {
        "category": "Cat1",
        "priceWithVAT": 400.0
      },
      {
        "category": "Cat2",
        "priceWithVAT": 200.0
      }
    ]
*/
result = FROM(productCollection).GROUPBY("category").SUM("priceWithVAT");
 

Returns a new collection with a new property added to all elements in the collection. Also, for each element it assigns a value for the new added property.

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//Example
/*
Input:
    productCollection = [
        {category: "Cat1", name:"Product1", priceWithVAT: 100, quantity: 1 },
        {category: "Cat2", name:"Product2", priceWithVAT: 200, quantity: 2 },
        {category: "Cat1", name:"Product3", priceWithVAT: 300, quantity: 3 }]

Output:   
    result = [
      {
        "category": "Cat1",
        "name": "Product1",
        "priceWithVAT": 100.0,
        "quantity": 1.0,
        "totalPriceWithVAT": 100.0
      },
      {
        "category": "Cat2",
        "name": "Product2",
        "priceWithVAT": 200.0,
        "quantity": 2.0,
        "totalPriceWithVAT": 400.0
      },
      {
        "category": "Cat1",
        "name": "Product3",
        "priceWithVAT": 300.0,
        "quantity": 3.0,
        "totalPriceWithVAT": 900.0
      }
    ]
*/
result = FROM(productCollection).EXTENDELEMENTS("totalPriceWithVAT", x=>x.priceWithVAT * x.quantity);
 

Count is a property of collections, it returns the number of elements from the collection.

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//Example
/*
Input:
    productCollection = [
        {"name":"Product1", "priceWithVAT": 100 },
        {"name":"Product2", "priceWithVAT": 200 }]

Output:   
    result = 2
*/
result = FROM(productCollection).WHERE(x=>x.priceWithVAT>=100).Count;
 

For Simple Collections types

Generates a sequence of numbers within a specified range.

Syntax

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/**
* @param {number[]} simpleCollection - simple collection of decimals
* @param rangeOperators - range operators of type SKIP and TAKE
* @returns {number[]} -  the sequence of numbers within a specified range.
*/
RANGE(simpleCollection, rangeOperators...): number[]
 

Example

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//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = [100, 200]
*/
result = RANGE(simpleCollection, TAKE(2));

//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = [200, 300]
*/
result = RANGE(simpleCollection, SKIP(1), TAKE(2));

//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = [200, 300, 400]
*/
result = RANGE(simpleCollection, SKIP(1));
 

Returns the min/max from the collection.

Syntax

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/**
* @param {number[]} simpleCollection - simple collection of decimals
* @returns {number} -  
*/
MIN(simpleCollection): number
MAX(simpleCollection): number
 

Example

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//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 100
*/
result = MIN(simpleCollection);

//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 400
*/
result = MAX(simpleCollection);
 

Returns the average of the collection of numbers received as parameter

Syntax

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/**
* @param {number[]} simpleCollection - simple collection of decimals

* @returns {number} - the average of the numbers 
*/
AVERAGE(simpleCollection): number
 

Example

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//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 250
*/
result = AVERAGE(simpleCollection);
 

Returns the sum/count of the elements from the collection.

Syntax

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/**
* @param {number[]} simpleCollection - simple collection of decimals
* @returns {number} -  
*/
SUM(simpleCollection): number
COUNT(simpleCollection): number
 

Example

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//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 1000
*/
result = SUM(simpleCollection);

//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 4
*/
result = COUNT(simpleCollection);
 

Returns the sum/count of the elements from the collection that respect the condition

Syntax

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/**
* @param {number[]} simpleCollection - simple collection of decimals
* @param  filter - the condition for filtering
* @returns {number} -  
*/
SUMIF(simpleCollection, filter): number
COUNTIF(simpleCollection, filter): number
 

Example

The it from the filter is just a convention for naming an item of the collection.

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//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 700
*/
result = SUMIF(simpleCollection, it > 250);

//Example
/*
Input:
    simpleCollection = [100, 200, 300, 400]

Output:   
    result = 2
*/
result = COUNTIF(simpleCollection, it > 250);

 

Data Set Calls

To extract value mappings from data sets (see Data Sets for details), use the following syntax:

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DataSet("<data set name>", ("<discriminant 1 name>", <discriminant 1 value>), ("<discriminant 2 name>", <discriminant 2 value>) ... )

If all the discriminants are given as a parameter, the result will be a value. However, if one of the discriminants is not sent as a parameter, the result will be an array.

IMPORTANT!  
You can only call data sets that are active. For details, see Data Set Versioning.

In the example below, we return a risk coefficient from a data set called RiskPrice with two discriminants (structure_type and risk_type). We retrieve the value corresponding to the structure and risk stored in the myStructure and myRisk input parameters.

IMPORTANT!  
The sub-types that are text are written using quotation marks.
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result = DataSet("RiskPrice", ("structure_type", myStructure), ("risk_type", myRisk));