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Portfolio Optimizer

The Nobel Prize-winning science of portfolio optimization, available as a Web API.

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PostgreSQL

Integrate the Portfolio Optimizer API with the PostgreSQL API

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

Popular Portfolio Optimizer and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular Portfolio Optimizer and PostgreSQL Actions

Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Find Row with the PostgreSQL API

Finds a row in a table via a lookup column. See the documentation

 
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Find Row With Custom Query with the PostgreSQL API

Finds a row in a table via a custom query. See the documentation

 
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Insert Row with the PostgreSQL API

Adds a new row. See the documentation

 
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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

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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 PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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