Market PricingGrid

Computes breakeven rates for a grid of fwd starting swaps

Parameter Description Default Options
valueDate
Optional
The value date in YYYY-MM-DD format.
currency
Optional
Currency AED , ARS , AUD , BRL , CAD , CHF , CLP , CNH , CNY , COP , CZK , DKK , EGP , EUR , GBP , GHS , HKD , HUF , IDR , ILS , INR , JPY , KRW , KZT , LBP , LKR , MXN , MYR , NGN , NOK , NZD , PEN , PHP , PKR , PLN , RUB , SAR , SEK , SGD , THB , TWD , USD , VEB , VNG , ZAR
fwdStarts
Optional
FwdStarts 0D 1Y 2Y 3Y 4Y 5Y 6Y 7Y 8Y 9Y 10Y 20Y 30Y
maturities
Optional
Maturities 1Y 2Y 3Y 4Y 5Y 6Y 7Y 8Y 9Y 10Y 12Y 15Y 20Y 25Y 30Y
target
Optional
Target Prices Prices , StartDates , EndDates , BaseTicker , Summary
import clarus

response = clarus.market.pricinggrid()
print (response)
import com.clarusft.api.model.market.PricingGridRequest
import com.clarusft.api.model.market.PricingGridResponse

ApiClient clarus = ApiClient.getDefault();
PricingGridResponse response = clarus.request(new PricingGridRequest());
System.out.println(response);
import Clarus

response = Clarus.Market.pricinggrid()
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('market', 'PricingGrid')
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('market', 'PricingGrid')
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 = ();

my $urlBase = 'https://apieval.clarusft.com/api/rest/v1/';
my $category = 'market/';
my $name = 'PricingGrid';
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 = {}

r = request('market', 'PricingGrid', params)
ca = toCellArray(r);

ca

Request Body

Submit to generate...
Response

Submit to generate...

{ }