Trade Price

Price a given a trade in any of the supported format types.

Parameter Description Default Options
trades
Optional
Input trades. Can be QuickTrade, Clarus, FPML5, LCH, CME or SDR format. If not specified then must specify either portfolios or whatifTrades parameters
valueDate
Optional
The value date in YYYY-MM-DD format.
measures
Optional
Measures to compute. MTM BREAKEVEN , CASH , DV01 , MTM
reportCcy
Optional
Currency to report results in
dayFirst
Optional
Day First
idFilter
Optional
Id Filter
view
Optional
View Long Long , Wide
xdata
Optional
XData
import clarus

response = clarus.trade.price(trades='USD 10Y 100m pay 1.1%')
print (response)
import com.clarusft.api.model.trade.PriceRequest
import com.clarusft.api.model.trade.PriceResponse

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

response = Clarus.Trade.price(trades="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('trade', 'Price', trades='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('trade', 'Price', trades='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 = ('trades' => 'USD 10Y 100m pay 1.1%');

my $urlBase = 'https://apieval.clarusft.com/api/rest/v1/';
my $category = 'trade/';
my $name = 'Price';
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 = {'trades', 'USD 10Y 100m pay 1.1%'}

r = request('trade', 'Price', params)
ca = toCellArray(r);

ca

Request Body

Submit to generate...
Response

Submit to generate...

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