What do you want to automate
with OANDA and Python?
Prompt, edit and deploy AI agents that connect to OANDA, Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular OANDA and Python Triggers#
Emit new event when a new open position is created or updated in an Oanda account. See the documentation
Emit new event when a new trade is opened in an Oanda account. See the documentation
Emit new event whenever a trade is executed in the user's account. See the documentation
Popular OANDA and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve historical price data for a specified currency pair or instrument within a given time range. See the documentation
Overview of OANDA#
The OANDA API enables you to tap into the world of forex trading, providing real-time currency exchange rates, and the ability to automate trading strategies, manage accounts, access market data, and more. On Pipedream, you can craft workflows that capitalize on OANDA's capabilities, such as reacting to market changes, automating trades based on custom logic, and syncing forex data with other business applications for analysis and decision-making.
Connect OANDA#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
oanda: {
type: "app",
app: "oanda",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-fxpractice.oanda.com/v3/accounts`,
headers: {
Authorization: `Bearer ${this.oanda.$auth.personal_token}`,
},
})
},
})
Overview of Python#
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow
This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
Connect Python#
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies