How Data Events and Behaviour Events come together to provide a truly personalised financial market data experience.

The AlphaStream experience platform is literally writing the book, or the API on how to personalise financial market data, news and social for clients of retail brokers, banks and stockbrokers. There are many key processes and technologies involved in this task, however, two key elements stand out. How data events and behaviour events work together to deliver the needle in a financial haystack.

Let's begin with defining what we mean by a data event:

A news or social content item that contains information about a financially tradable entity that is demonstrating increasing activity or trending characteristics that would define the story as popular.

To put in more simple terms, it’s a story about an entity, such as a stock, that is becoming popular enough to change the price of the entity in the market.

A good example of a data event is a tweet that Elon Musk sent on May 1, 2020, where he mused that the Tesla stock was overvalued. Tesla stock was down 9% following the tweet. The platform was able to identify and track this event because we created the original tweet into a data event. Please see the detailed case study of this data event here.

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Now we know what a data event looks like we can have a look at behaviour events:

A behaviour event is defined as any interaction on the client user journey that can be linked to a tradable entity, for example, reading an article that is about apple, or resizing a chart and checking a resistance level for brent crude. t

So now we have two key event tracking processes that are occurring in the platform. One that is tracking the financial market in real-time and selecting events of significance and enriching and monitoring them. And one that is tracking all of the actions the client is making within a system, such a trading platform or portal.

When the platform brings these two processes together we begin to unlock hyper-personalisation of the entire market for every single client.

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Every piece of content that is delivered to a client can be considered a data event, some are more significant (more popular) than others and as a result, are treated differently, converted into notifications, dropped into a feed, made into a digital campaign or placed into a round-up email. Importantly every data event contains metadata about the meaning of the content itself, what the story is about, for example:

  • What entity is mentioned?
  • Is it about a product or person?
  • Is it analysis or an announcement?
  • Is it positive or negative?
  • Who wrote it?
  • Where is it from?

When the platform captures a behaviour event, whereby the client is interacting with a data event the magic begins to happen! Every interaction is building a very detailed picture of what the client preferences are towards the financial market. Over time we can truly understand what a client wants because we can understand not what they are doing, but what the meaning of the information is they are consuming.

Over time we can truly understand what a client wants because we can understand not just what they are doing, but what the meaning of the information is they are consuming.

As the platform delivers millions of data events to thousands of clients they create millions of behaviour events and we store those against the client profile in the Client Identity Graph.

This is where we can close the loop, we can deliver personalised financial market data experiences because we know what information the client wants to see. We are able to select the information from any data source because the original story has been ingested, processed and classified as a data event and enriched with defining metadata.

The platform when mature can select any data event and deliver it to any client in any format. AlphaStream has literally built a magnet for finding the needle in the financial haystack.

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