SIMM Impact

Calculate a table of portfolio SIMM Margin changes for vanilla par swaps of a specified size at standard tenors in a selected currency.

Parameter Description Default Options
portfolios
Required
Input portfolios. Can be trades in QuickTrade, FPML5, LCH, CME or SDR format. Or risk sensitivities in CRIF, LCH or CME format. Or portfolioIds of previously loaded portfolios Or any combination of these
valueDate
Optional
The value date in YYYY-MM-DD format. 2024-03-19
product
Optional
Specified product to use to create par trade Swap:OIS:USD-SOFR-OIS Select from predefined Products.
import clarus

response = clarus.simm.impact(portfolios='USD 10Y 100m pay 1.1%')
print (response)
import com.clarusft.api.model.simm.ImpactRequest
import com.clarusft.api.model.simm.ImpactResponse

ApiClient clarus = ApiClient.getDefault();
ImpactResponse response = clarus.request(new ImpactRequest().withPortfolios("USD 10Y 100m pay 1.1%"));
System.out.println(response);
import Clarus

response = Clarus.Simm.impact(portfolios="USD 10Y 100m pay 1.1%")
print(response)

##
##Need to install packages once, if not already installed
##install.packages('httr')
##install.packages('readr')
##

library('httr')
##library('readr')

## Manually edit and set key/secret here ##
apiKey <- '...'
apiSecret <-'...'

request <- function(category, functionName, ...){
  restUrl  =  paste0('https://apieval.clarusft.com/api/rest/v1/', category, '/',functionName, '.csv')
  response <- POST(url=restUrl, body=list(...), encode='json', authenticate(apiKey, apiSecret, type='basic'))
  if (response$status_code!=200){
      stop(paste0('Request to ', category, '/', functionName, ' failed with status code: ', response$status_code))
  }
  return (response)
}

dataframe <- function(response){
  return (read.csv(text=content(response, 'text'), sep=',', head=TRUE))
}
## filename <- file.path('C:', 'Temp', 'myfile.csv')
## myvalue <- <- read_file(filename)

r <- request('simm', 'Impact', portfolios='USD 10Y 100m pay 1.1%')
df <- dataframe(r)
print (df)

import requests
import sys
import pandas
import io
#import os

# Example of REST API call to Clarus Microservices #

# Manually edit and set key/secret here #
apiKey = ''
apiSecret = ''

print (sys.version)

def request(category, functionName, **params):
  restUrl = 'https://apieval.clarusft.com/api/rest/v1/' + category + '/' + functionName + '.json'
  r = requests.post(restUrl, json=params, auth=(apiKey, apiSecret))
  r.raise_for_status()
  return r.json()

def dataframe(results):
  return pandas.DataFrame(results['results'])

# filename = os.path.join('C:\\', 'Temp', 'myfile.csv')
# myvalue = open(filename).read()

r = request('simm', 'Impact', portfolios='USD 10Y 100m pay 1.1%')
df = dataframe(r)
print(pandas.DataFrame.head(df))


use strict;
use warnings;
use MIME::Base64;
use JSON;
use REST::Client;

# Example of REST API call to Clarus Microservices #

my $client = REST::Client->new();
$client->addHeader('Content-Type', 'application/json');

# Manually edit and set key/secret here 
my $apiKey = '';
my $apiSecret = '';

my $encoded_auth = encode_base64("$apiKey:$apiSecret", '');
$client->addHeader('Authorization', "Basic $encoded_auth");

my %params = ('portfolios' => 'USD 10Y 100m pay 1.1%');

my $urlBase = 'https://apieval.clarusft.com/api/rest/v1/';
my $category = 'simm/';
my $name = 'Impact';
my $outputFormat = '.csv'; #can also be '.json' or '.tsv'
my $fullRESTUrl  =  $urlBase . $category . $name . $outputFormat;

$client->POST($fullRESTUrl,encode_json(\%params));

print 'Response: ' . $client->responseContent() . "\n";
print 'Response status: ' . $client->responseCode() . "\n";


printf('Example of REST API call to Clarus Microservices\n');

function r = request(category, functionName, params)

# Manually edit and set key/secret here #
  apiKey = ''
  apiSecret = ''

  restUrl = ['https://' apiKey ":" apiSecret  "@" 'apieval.clarusft.com/api/rest/v1/' category '/' functionName '.csv'];
  [r, status, message] = urlread (restUrl, 'get', params);
  if (status!=1)
      error(['Failed on ' category '/' functionName ': ' message]);
  endif
end

function ca = toCellArray(csvStr)
  header_row = textscan (csvStr, "%s", 1, 'delimiter','\n');
  headers = strsplit(char(header_row), ",");
  numCols = size(headers)(2);
  format = repmat('%s ', [1 numCols]);
  ca = textscan (csvStr, format, 'delimiter',',', 'endofline',"\n");
end

params = {'portfolios', 'USD 10Y 100m pay 1.1%'}

r = request('simm', 'Impact', params)
ca = toCellArray(r);

ca

Request Body

Submit to generate...
Response

Submit to generate...

{
  "portfolios" : "USD 10Y 100m pay 1.1%"
}