Integrations coassemble QuantConnect
coassemble + QuantConnect

Connect coassemble and QuantConnect to Build Intelligent Automations

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coassemble

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QuantConnect

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Enable Integrations or automations with these events of coassemble and QuantConnect

Enable Integrations or automations with these events of coassemble and QuantConnect

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Frequently Asked Questions

How do I start an integration between coassemble and QuantConnect?

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

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

Absolutely. You can customize how coassemble 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 coassemble and QuantConnect?

The data sync between coassemble 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 coassemble 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 coassemble and QuantConnect?

Yes, you can set conditional logic to control the flow of data between coassemble 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.

coassemble

About coassemble

Coassemble is a friendly yet powerful cloud-based platform that simplifies all aspects of online training.

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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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