Integrate the Portfolio Optimizer API with the Python API

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

Popular Portfolio Optimizer and Python Actions#

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.

Try it

Overview of Portfolio Optimizer#

The Portfolio Optimizer API allows you to build advanced financial models and investment strategies directly within Pipedream. With this API, you gain access to portfolio analysis tools that can optimize asset allocations, calculate efficient frontiers, and perform risk assessments. Leverage the power of Pipedream's serverless platform to automate these tasks, integrate with other financial data sources, and much more, facilitating smarter investment decisions and real-time portfolio management.

Connect Portfolio Optimizer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    portfolio_optimizer: {
      type: "app",
      app: "portfolio_optimizer",
    }
  },
  async run({ steps, $ }) {
    const { data } = await axios({
      method: "POST",
      url: `https://${this.portfolio_optimizer.$auth.api_server}.portfoliooptimizer.io/v1/factors/residualization`,
      headers: {
        "Content-type": "application/json",
        "X-API-Key": this.portfolio_optimizer.$auth.api_key
      },
//Residualizes the returns of the first factor among a set of 2 factors, observed during 3 time periods
      data: {
        "factors": [
          {
            "factorReturns": [
              0.01,
              0.02,
              -0.01
            ]
          },
          {
            "factorReturns": [
              0.025,
              0.005,
              -0.02
            ]
          }
        ],
        "residualizedFactor": 1
      },
    })
    return data
  },
})

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}}