Auction Dashboard (July 2016)

Auction Dashboard (July 2016)

THE SUPERDOM AND CHART COLUMNS ARE ALL BUILT FROM THE DATA PROVIDED BY STACK DATA POINTS

▪Column views can be customized.

▪Available options are dynamic, since the Stack Data Points inform the container of their own properties and attributes.

▪Data Points are easy to implement.

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▪TaData implements all data points as plugins, which means new data points can already be dropped-in.

▪TaData also implements the views with a plug-in architecture.

▪TaData even implements the data points’ market data ecosystem as an extension point; this allows custom developers to implement an arbitrary data ecosystem; e.g. by building a data set provided by a custom data provider.

WHAT ARE STACK DATA POINTS?

• SELF-CONTAINED AUTOMATED MARKET DATA PARTICIPANTS.

• REFINED INTO HIGHLY TRANSPORTABLE “VERTICAL” DATA POINTS

Stack data points can allow your strategy to re-think its approach, with benefits.

If the data point’s approach is to output all performance at any price, and leave the decision to select prices of interest to a Trigger, then that is a win.

With this approach, no data is lost, and options are left open. Your Trigger is free to take the single best price, or, it can re-think and adapt based on any current conditions.

A trigger could query other services, or current market status, and possibly swap the best decision. And at the same time, the data point itself does not need to swap any values, and this decision can change dynamically.

Stack Data Points can yield a complete model of the market in each custom data point’s terms. It enables thinking about the state of the market from each data point’s perspective, top-to-bottom.

Stack Data Points are also not limited in the data that they can produce at each price: each custom data point can freely define its own data type with no restriction.

You are then also able to correlate data points in any way, top-to-bottom.

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Here’s What You’ll Get in Auction Dashboard (July 2016).

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Course Requirement: Auction Dashboard (July 2016)
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