Overview
Last updated
Last updated
This is pre-release documentation. We're not quite ready yet, so please note that things are subject to change.
Contact if you have any questions or are interested in becoming an early adopter.
The aim of rtd.pub is to provide a simple, language-agnostic platform for streaming data into Excel.
In many domains, data vendors (and perhaps your internal systems) expose their data streams through a variety of means such as through message brokers, web sockets, FIX and proprietary socket protocols.
This array of potential protocols and integrations potentially results in writing a lot of code. Running supporting libraries inside the mechanisms provided by Excel (COM-based RTD, StreamingInvocation via JavaScript) can make supporting these feeds quite challenging.
rtd.pub provides that bridge between the outside world and Excel. The hard work is shifted out of the Excel process and into a process you have control over.
By leveraging the built in data connectors, you may not even need to write any code. If your data is already in NATS or Kafka, no code is needed, you just need to install it and provide some configuration.
Spreadsheets are the original low-code solution, dating back to the late 70s.
With the universal cells, rows and formula model, industry domain experts, such as traders, can build lucrative financial models without having to write code.
Spreadsheet software such as Microsoft Excel underpin more of the world's financial industry than we might at first realise.
For some models to be useful, realtime data from external sources such as FX, market data and other providers needs to loaded into cells in a worksheet, causing calculations and visualisations to update as soon as new data is available.
This isn't just for financial data. You can use rtd.pub to stream in any data, at any rate, from any source.
Whether you're a data vendor looking to provide your own Excel integration, or an organisation looking to interface with existing data vendors, rtd.pub can help you achieve this in far less time than starting from scratch.
