with Microsoft Excel and Portfolio Optimizer?
Emit new event when when a specific cell's value changes in an Excel worksheet
Emit new event when when a new row is added to an Excel worksheet
Emit new event when a new Excel spreadsheet is created.
Emit new event when an Excel spreadsheet is updated.
Adds rows to the end of specific table. See the documentation
Insert a new row into a specified Excel worksheet. See the documentation
Find a row by column and value in an Excel worksheet. See the documentation
Get the values of the specified columns in an Excel worksheet. See the documentation
Get the values of a specified Excel worksheet. See the documentation
The Microsoft Excel API on Pipedream allows you to automate spreadsheet tasks, manipulate data, and integrate Excel with other apps and services. Through Pipedream, you can create serverless workflows that react to events, perform operations on Excel files like reading, writing, updating cells, and managing worksheets. This API turns Excel into a powerful tool for data analysis, report generation, and task automation without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_excel: {
type: "app",
app: "microsoft_excel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.microsoft_excel.$auth.oauth_access_token}`,
},
})
},
})
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.
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
},
})