Commission-Free API First Stock Brokerage
Attempts to cancel all open orders. A response will be provided for each order that is attempted to be cancelled. If an order is no longer cancelable, the server reject the request, See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Attempts to cancel an open order. If the order is no longer cancelable (example: status=filled
), the server will reject the request, See the docs
Closes (liquidates) all of the account’s open long and short positions. A response will be provided for each order that is attempted to be cancelled. If an order is no longer cancelable, the server will reject the request, See the docs
Closes (liquidates) the account’s open position. Works for both long and short positions, See the docs
Alpaca API allows you to harness the power of automated trading by providing an interface to manage your stock and equity portfolio through simple API calls. It's particularly suited for building trading bots, algorithmic trading strategies, or just automating interactions with your investment portfolio. Whether you're looking to place trades based on specific market conditions, automatically adjust your portfolio in response to certain triggers, or simply streamline your investment activities, Alpaca's trading API offers a robust solution.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
alpaca: {
type: "app",
app: "alpaca",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.alpaca.markets/v2/account`,
headers: {
Authorization: `Bearer ${this.alpaca.$auth.oauth_access_token}`,
},
})
},
})
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}}