Datasets

The IEX Cloud data provider serves asset price data directly from IEX Cloud. Our integration supports US Equity securities. It only provides the security price data, so you need to download the US Equity Security Master with the CLI. For more information about the IEX Cloud data source, see the IEX Cloud documentation.

Universe Selection is available with the IEX Cloud data provider if you download the data from the Dataset Market. The dataset listings show how to download the universe selection data with the CLI. For live trading, you'll need to periodically download the new data from QuantConnect Cloud, which you can automate with Python scripts. For example, the following tutorials explain how to download historical data and download daily updates:

• US ETF Constituents
• US Equity Coarse Universe

If you have licensed alternative data with QuantConnect, it works as expected with the IEX Cloud data provider for research, backtesting, and live trading.

To use IEX Cloud data in the Research Environment on Local Platform, first start the Research Environment with the CLI and request the data you need. All the data you request will be cached in your hard drive, so you can then open the Research Environment with the Local Platform UX and access it.

To run an on-premise backtest on Local Platform with IEX Cloud data, first backtest the algorithm on your local machine with the CLI. All the data your backtest requests will be cached in your hard drive, so you can then run the backtest on-premise with the Local Platform UX and access it.

To run an on-premise optimization on Local Platform with IEX Cloud data, first backtest the algorithm on your local machine with the CLI. All the data your backtest requests will be cached in your hard drive, so you can then run the optimization on-premise with the Local Platform UX and access it.

The following sections explain live trading deployment and data updates when using the IEX Cloud data provider.

Deployment

Follow these steps to deploy a live trading algorithm that uses the IEX Cloud data provider:

1. Open the project that you want to deploy.
2. Click the / Deploy Live icon.

If you deploy to QuantConnect Cloud, you must have an available live trading node for each live trading algorithm you deploy.

3. On the Deploy Live page, click the Brokerage field and then click your brokerage from the drop-down menu.
4. Enter the required brokerage authentication information.

For more information about the required information for each brokerage, see the Deploy Live Algorithms section of your brokerage documentation.

5. In the Data Provider section of the deployment wizard, click Show.
6. Click the Data Provider 1 field and then click IEXCloud from the drop-down menu.

7. Enter your IEX Cloud API Key.
8. Click the Select Price Plan... field and then click your price plan from the drop-down menu.
9. Click Save.
10. (Optional) If your brokerage supports exisiting cash and position holdings, add them.
11. (Optional) If you are deploying to QuantConnect Cloud, set up notifications.
12. Configure the Automatically restart algorithm setting.

By enabling automatic restarts, the algorithm will use best efforts to restart the algorithm if it fails due to a runtime error. This can help improve the algorithm's resilience to temporary outages such as a brokerage API disconnection.

13. Click Deploy.

Data Updates

If you trade local live algorithms, you'll need to periodically update your US Equity Security Master. Weekly updates are sufficient in most cases.

If you deploy local live algorithms that rely on US Equity universe data, you'll need to download the latest data files every trading day. For an example Python script that updates local US Equity Coarse Universe files, see Download Daily Updates. For an example Python script that updates local US ETF Constituents files, see Download Daily Updates. To update alternative datasets that support universe selection, see the CLI commands in their respective dataset listing.

To view the prices of the IEX Cloud API packages, contact their support team.