Assets
Exploring assets on Polymesh
Last updated
Exploring assets on Polymesh
Last updated
The metrics below not only offer a snapshot of the current state of assets (as of 05 March 2024 ) but also enable stakeholders to analyze trends over time, assess the diversity of asset types, and understand investor engagement.
Assets
Nb Assets
Total number of assets on the network
Assets
Assets by type
Total number of assets on the network by type
Assets
Assets per month per type
Total number of assets created per month, grouped by asset type
Assets
Top 10 Assets by investor count
Top 10 assets by investor count
Assets
Assets created over the last 30 days by type
Total number of assets created over the last 30 days by type
Assets
List of Assets created over the last 30 days
List of assets created over the last 30 days
This metric gives a high-level overview of the ecosystem's size and growth, indicating the adoption and utilization of the Polymesh platform for asset issuance.
How many assets have been tokenized on the Polymesh network?
SQL
GraphQL
This metric is important for understanding the composition of the asset ecosystem, showing which types of assets (e.g., bonds, equities, funds) are most prevalent. This reflects market preferences and regulatory compliance capabilities of Polymesh.
SQL
GraphQL
This metric provides insights into growth trends and market dynamics, helping to identify patterns or shifts in the types of assets being created, which could be indicative of broader market or regulatory changes.
SQL
GraphQL
This query retrieves the type
and createdBlock.datetime
fields for each asset. The createdBlock
field represents the block in which the asset was created, and the datetime
field represents the timestamp of that block.
After executing the query, you can process the results in your application code to group the assets by month and type, and count the total assets created for each group.
Potential improvement #2
The current Polymesh GraphQL schema could be updated to support the grouping and counting of assets using the @derivedFrom
directive and some additional queries.
This metric highlights the most popular or widely held assets, which can be a proxy for market sentiment, perceived value, or investor confidence in certain asset classes or issuances.
SQL
GraphQL
This metric allows stakeholders to track recent activity and interest in different types of assets. This metric is particularly useful for identifying sudden spikes or drops in asset issuance, possibly in response to market or regulatory developments.
SQL
Results: none at the time of running the query.
GraphQL
This query retrieves all the assets and their corresponding type
and createdBlock.datetime
fields. Since the provided schema doesn't support filtering or formatting directly in the query, you will need to handle the filtering and formatting in the application code.
Potential improvement #3
The current Polymesh GraphQL schema could be updated to support filtering of assets.
This metric provides specific details on recent issuances, offering users immediate insights into the newest assets on the network. This can be valuable for investors looking for new opportunities or analysts monitoring the innovation and evolution of the platform's offerings.
SQL
GraphQL
This query retrieves all the assets and their corresponding ticker
, name
, type
, fundingRound
, and createdBlock.datetime
fields.
Since the provided schema doesn't support filtering directly in the query, you'll need to handle the filtering of assets created within the last 30 days in the application code.
Potential improvement #3
The current Polymesh GraphQL schema could be updated to support filtering of assets.