Connect Band and QuantConnect to Build Intelligent Automations

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Band

When this happens...

Choose an Action

QuantConnect

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Enable Integrations or automations with these events of Band and QuantConnect

Enable Integrations or automations with these events of Band and QuantConnect

Actions

List Bands

List Bands

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Frequently Asked Questions

How do I start an integration between Band and QuantConnect?

To start, connect both your Band and QuantConnect accounts to viaSocket. Once connected, you can set up a workflow where an event in Band triggers actions in QuantConnect (or vice versa).

Can we customize how data from Band is recorded in QuantConnect?

Absolutely. You can customize how Band data is recorded in QuantConnect. This includes choosing which data fields go into which fields of QuantConnect, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Band and QuantConnect?

The data sync between Band and QuantConnect typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Band to QuantConnect?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Band and QuantConnect?

Yes, you can set conditional logic to control the flow of data between Band and QuantConnect. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Band

About Band

Band is a group communication app that helps teams, clubs, and communities stay connected and organized. It offers features like group messaging, event scheduling, and file sharing to enhance collaboration and streamline communication.

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QuantConnect

About QuantConnect

QuantConnect is a platform that provides algorithmic trading and quantitative analysis tools for traders and developers. It allows users to design, backtest, and deploy trading algorithms across multiple asset classes.

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