OANDA

OANDA is a global leader in online multi-asset trading services, currency data, corporate payments and FX services.

Integrate the OANDA API with the Go API

Setup the OANDA API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate OANDA and Go remarkably fast. Free for developers.

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

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

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    oanda: {
      type: "app",
      app: "oanda",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-fxtrade.oanda.com/v3/accounts`,
      headers: {
        Authorization: `Bearer ${this.oanda.$auth.personal_token}`,
      },
    })
  },
})

Overview of Go

You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.

Connect Go

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package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}