We’re thrilled to unveil Kraken Labs, initially launching as a set of 5 interactive knowledge visualization modules created by employees designer Benno Gerrit Wissing.
These experiments leverage each Kraken-derived and onchain knowledge to discover the limitless prospects of crypto knowledge visualization, starting from extremely exploratory and summary 3D real-time knowledge visualizations to insight-driven experiments that use time-series clustering and sample recognition.
We’ve determined to make these public to share what’s attainable with the broader crypto neighborhood and construct upon the rising set of information visualization experiments.
Kraken Labs presently consists of the next experiments:
Evo
Customizable 3D objects every representing a Kraken market. These objects use visible cues to convey the temporal evolution of real-time market knowledge.
The experiment encodes varied market knowledge dimensions (quantity, change, excessive/low vary, unfold, market updates per minute) in 3D object properties (dimension, colour, noise scale, noise power, noise pace) to visualise a number of markets for fast insights on their exercise at a look:
Cluster
Markets are grouped collectively by comparable chart patterns. This gives a meta-view of the markets in order that as a substitute of analyzing Kraken’s (virtually 300) particular person USD markets, an algorithm kinds these markets into two to 6 main teams that evolve equally, which is helpful for diversification functions.
The extra “listing view” orders markets by their similarity relative to all analyzed markets to simply establish anomalous (low similarity) and generic (excessive similarity) markets:
Patterns
Analytics that visually uncover chart patterns inside any particular person Kraken USD market. These patterns spotlight recurring, anomalous, and evolving sequences over the previous day to yr. Every sample kind could be inspected extra intently upon interplay by hovering or choosing on the chart.
Within the detailed sample view, situations of recurring patterns are overlaid on one another to simply see how comparable they’re, whereas evolving patterns are stacked on prime of one another to visualise their change over time. Patterns of varied widths (i.e. shut value knowledge factors) could be recognized in keeping with consumer desire:
Beast
This visualization shows each day live-streamed candlesticks of each USD buying and selling pair on the Kraken change. These candles are introduced within the form of Kraken’s iconic beast emblem.
By choosing a person asset, an interactive 3D candlestick chart of that market is revealed in order that it may be inspected from a granular perspective. This enables the efficiency of all Kraken markets to be seen without delay and individually in a concise and compelling approach:
Graph
A device to visualise the movement of onchain transactions between addresses as a community. Every node represents an tackle and every edge a transaction. Each tackle node and transaction edge could be chosen to retrieve further data.
Chosen nodes spotlight the transaction movement from these respective addresses. Graph tells a visible story of an tackle and its transaction companions:
Leveraging our crypto experience for the good thing about our shoppers
As one of many longest standing exchanges within the crypto business, we have now accrued a wealth of crypto information. With the event of Kraken Labs, we’re dedicated to leveraging this data to empower our shoppers, offering them with cutting-edge instruments and providers to assist higher navigate markets.
We encourage you to share your suggestions on these modules, which could be offered on any of the person module pages. Your enter is essential in shaping the Kraken Labs experiment.
The preliminary modules are just the start: Kraken Labs is pushing the boundaries of information visualization to uncover novel frameworks for analyzing crypto markets. Keep tuned for extra visually gorgeous experiments inside Kraken Labs and attainable integrations with our full product suite.
Expertise the way forward for crypto knowledge visualization right now:
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