Connect Delta Exchange and TimescaleDB to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Delta Exchange
Choose an Action
Automatically do this!
- Request a new Action for TimescaleDB
Enable Integrations or automations with these events of Delta Exchange and TimescaleDB
Enable Integrations or automations with these events of Delta Exchange and TimescaleDB
Actions
Place Order
Places a new order on Delta Exchange.
Get Products
Get the list of all products.
List Assets
Get list of all assets
Get Indices
Get all indices.
Get a Product
Get a product by product ID or Symbol.
Get tickers for products
Get the list of tickers for products.
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Frequently Asked Questions
To start, connect both your Delta Exchange and TimescaleDB accounts to viaSocket. Once connected, you can set up a workflow where an event in Delta Exchange triggers actions in TimescaleDB (or vice versa).
Absolutely. You can customize how Delta Exchange data is recorded in TimescaleDB. This includes choosing which data fields go into which fields of TimescaleDB, setting up custom formats, and filtering out unwanted information.
The data sync between Delta Exchange and TimescaleDB 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 Delta Exchange and TimescaleDB. 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 Delta Exchange
Delta Exchange is a cryptocurrency derivatives trading platform that offers futures and options on Bitcoin and other leading cryptocurrencies. It provides traders with advanced trading tools and features, including leverage, to enhance their trading strategies.
Learn MoreAbout TimescaleDB
TimescaleDB is a powerful time-series database designed for fast ingest and complex queries, making it ideal for handling time-series data efficiently. It extends PostgreSQL, providing scalability and performance enhancements specifically for time-series workloads.
Learn More
