Connect Arihant PLUS and Neo4j to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Arihant PLUS
Choose an Action
Automatically do this!
- Request a new Action for Neo4j
Enable Integrations or automations with these events of Arihant PLUS and Neo4j
Enable Integrations or automations with these events of Arihant PLUS and Neo4j
Actions
Get Order Trail
View your order trail & status
Get Holdings
Fetch all your Demat holdings including symbol, quantity, average buy price, current market value, and P&L from your trading account.
Get Account Funds
Get available account funds
Place Order
Place stock and F&O orders
Get Orders
Fetch order book or status
Find Stocks
Search stocks and get prices
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Frequently Asked Questions
To start, connect both your Arihant PLUS and Neo4j accounts to viaSocket. Once connected, you can set up a workflow where an event in Arihant PLUS triggers actions in Neo4j (or vice versa).
Absolutely. You can customize how Arihant PLUS data is recorded in Neo4j. This includes choosing which data fields go into which fields of Neo4j, setting up custom formats, and filtering out unwanted information.
The data sync between Arihant PLUS and Neo4j 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 Arihant PLUS and Neo4j. 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 Arihant PLUS
Arihant PLUS offers secure online trading, stock market investing, mutual funds, IPO access, portfolio management, and research tools in one powerful investment platform.
Learn MoreAbout Neo4j
Neo4j is a leading graph database platform that enables organizations to unlock the value of connections, influences, and relationships in data. It is designed to handle highly connected data and is used for a variety of applications such as fraud detection, real-time recommendations, and network management.
Learn More
