Metavault.Trade fundamentals

A space to discuss the fundamentals of ‘Metavault.Trade’.

Link to the dashboard: Metavault.Trade (MVX) - Key metrics | Dashboard | Token Terminal

Token Terminal <> Metavault.Trade | Monthly data update (March 2023)

Chains tracked: Polygon

Methodology:

Metrics (March 2023):

1 Like

Thank you TT Team,
the values / stats seems to be correct.

2 Likes

Token Terminal <> Metavault.Trade | Monthly data update (April 2023)

Chains tracked: Polygon

Methodology:

Metrics (April 2023):

Checked, looking accurate. Thanks to the TT team

1 Like

Token Terminal <> Metavault.Trade | Monthly data update (May 2023)

Chains tracked: Polygon

Methodology:

  • Net deposits: Total value deposited in the Vault contract
  • Trading volume: Total trading volume on Metavault.Trade
  • Fees: Total trading fees paid by traders
  • Supply-side fees: Share of trading fees that goes to the liquidity providers
  • Revenue: Share of trading fees that goes to the protocol (MVX holders)
  • Token incentives: USD value of the protocol’s governance tokens (esMVX) tokens that have been distributed to incentivise users
  • Earnings: Revenue minus token incentives
  • Treasury: Monthly average USD value of the protocol’s funds held on-chain (including unallocated governance tokens)
  • Daily active users: Monthly average number of daily distinct traders on Metavault.Trade
  • Weekly active users: Monthly average number of weekly distinct traders on Metavault.Trade
  • Monthly active users: Monthly average number of monthly distinct traders on Metavault.Trade
  • Core developers: Monthly average number of distinct GitHub users that made 1+ commits to the project’s public GitHub repositories during the past 30 days
  • Code commits: Number of commits to the project’s public GitHub repositories

Metrics (May 2023):

Thank you TT team.
Looks like correct

1 Like

Token Terminal <> Metavault.Trade | Monthly data update (June 2023)

Chains tracked: Polygon

Methodology:

Metrics (June 2023):

Thanks for the work TT team, looks accurate

1 Like