Exchange Rates

Data as of 19 Apr 2024, 23:59

Rates of exchange of the Malaysian Ringgit vis-à-vis major trading partners.

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Table

USA

China

Singapore

Euro Area

Japan

Chinese Taipei

How is this data produced?

The data is harvested from 4 open-source and globally-used APIs to ensure consistency.

What caveats I should bear in mind when using this data?

This data is meant for analytical purposes, and is not intended to be used as a training dataset for trading algorithms.

Publication(s) using this data

Metadata

Dataset description

Rates of exchange of the Malaysian Ringgit vis-à-vis major trading partners.

Variable definitions
  • Date
  • USA
  • China
  • Singapore
  • Euro Area
  • Japan
  • Chinese Taipei
  • Thailand
  • Indonesia
  • Hong Kong SAR
  • South Korea
  • Vietnam
  • India
  • Australia
  • Philippines
  • UAE
  • Saudi Arabia
  • Turkey
  • UK
  • Brazil
  • Mexico
  • Bangladesh
  • Switzerland
  • Canada
  • Russia
Last updated:

20 Apr 2024, 04:00

Next update:

21 Apr 2024, 04:00

Data source(s)
  • MAMPU
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Data
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Full Dataset (CSV)

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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.data.gov.my/finsector/exchangerates.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests import pprint url = "https://api.data.gov.my/data-catalogue?id=exchangerates&limit=3" response_json = requests.get(url=url).json() pprint.pprint(response_json)