with Mboum and Python?
Calculate Accumulation/Distribution Line technical indicator to measure volume flow and confirm price trends. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Calculate Accumulation/Distribution Oscillator technical indicator to measure the momentum of volume flow. See the documentation
Get analyst ratings and recommendations for a stock including buy/sell/hold ratings. See the documentation
Calculate Average Directional Index technical indicator to measure trend strength and direction. See the documentation
The Mboum API offers rich financial data, including real-time stock quotes, financial statements, and market analysis. On Pipedream, this translates into the ability to craft workflows that can automate tasks for investors, analysts, and fintech applications. For instance, you can trigger actions based on stock price changes, compile financial reports, or integrate with other services to enrich financial datasets.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mboum: {
type: "app",
app: "mboum",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.mboum.com/v2/markets/market-info`,
headers: {
Authorization: `Bearer ${this.mboum.$auth.api_key}`,
},
})
},
})
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:
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}}