Connect Moxie and QuantConnect to Build Intelligent Automations
Enable Integrations or automations with these events of Moxie and QuantConnect
Enable Integrations or automations with these events of Moxie and QuantConnect
Actions
Create Task
Creates a new task in Moxie.
Create Expense
Create an expense in your Moxie accounting records
Create Client
Creates a new client record in Hectic
Create Form Submission
Create an automated form submission with lead information and custom answers.
Create Opportunity
Create a new opportunity in your sales pipeline
Create or Update Calendar Event
Create or update a calendar event in the Moxie Homebase calendar
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Frequently Asked Questions
To start, connect both your Moxie and QuantConnect accounts to viaSocket. Once connected, you can set up a workflow where an event in Moxie triggers actions in QuantConnect (or vice versa).
Absolutely. You can customize how Moxie 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.
The data sync between Moxie and QuantConnect typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Moxie 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.
About Moxie
Moxie is a platform designed to enhance team collaboration and productivity by providing tools for effective communication and project management. It offers features such as task management, team chat, and file sharing to streamline workflows and improve team efficiency.
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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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