Integrate the Kucoin Futures API with the Python API

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

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Popular Kucoin Futures and Python Actions#

Kucoin Futures Generic API Call with the Kucoin Futures API

Make any API call for Kucoin Futures as per the documentation.See docs here

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of Kucoin Futures#

The Kucoin Futures API enables traders to programmatically manage their futures accounts on Kucoin, allowing for real-time data retrieval, order placement, and account management. By leveraging Pipedream's serverless platform, you can create automated workflows that react to market changes, manage risk, and optimize your trading strategy. These workflows can integrate with a multitude of other services and APIs, enabling complex automations that can drive informed decision-making based on market signals, notifications, and more.

Connect Kucoin Futures#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kucoin_futures: {
      type: "app",
      app: "kucoin_futures",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api-futures.kucoin.com/api/v1/timestamp`,
      headers: {
        "api_key": `${this.kucoin_futures.$auth.api_key}`,
        "secret_key": `${this.kucoin_futures.$auth.secret_key}`,
        "passphrase": `${this.kucoin_futures.$auth.passphrase}`,
      },
    })
  },
})

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}}

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