Stock and Crypto Investment Ideas | Social Sentiment Analytics | Automated Due Diligence and Trade Alerts | Investment Community
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Emit new event when a new table is added to a database. See the docs here
The Utradea API allows users to access financial analytics and social sentiment data for various investment opportunities. With this API, you can programmatically get insights into stock trends, market predictions, and community-driven investment analysis. When used within Pipedream, you have the ability to create automated workflows that can help you make informed investment decisions, track stock performance, or integrate with other financial tools.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
utradea: {
type: "app",
app: "utradea",
}
},
async run({steps, $}) {
return await axios($, {
url: `http://cloud.utradea.com/v1/get-social-tickers`,
headers: {
"Content-Type": `application/json`,
"Authorization": `${this.utradea.$auth.api_key}`,
},
params: {
social: `stocktwits`,
tickers: `BTC-USD,PLTR`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});