Integrate the BingX API with the Python API

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

Popular BingX and Python Actions#

BingX Account Get Balance with the BingX API

Get Perpetual Swap Account Asset Information See the documentation.

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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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BingX Account Get Positions with the BingX API

Perpetual Swap Positions See the documentation.

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BingX Custom Bracket Order with the BingX API

Place bracket order. See the documentation

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BingX Custom Calculate Leveraged Position with the BingX API

Calculate leveraged position based on entry, stop price and account balance

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Overview of BingX#

The BingX API offers a digital asset trading platform that enables users to perform crypto trades, access market data, and manage their portfolio. By leveraging this API on Pipedream, you can automate your cryptocurrency trading strategies, synchronize your trading data with other financial tools, and create real-time alerts based on market conditions.

Connect BingX#

import { axios } from '@pipedream/platform';

export default defineComponent({
  props: {
    bingx: {
      type: "app",
      app: "bingx",
    }
  },
  async run({steps, $}) {
    // Requires a dynamic signature generated for each request at runtime.
    // please see conversation here: https://github.com/PipedreamHQ/pipedream/issues/4363
  },
})

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}}