Analytics Weekly Highlights | 2024-W29
Welcome to the Analytics Weekly Highlights for Week 29 of 2024. Last week features a very high activity in borrowings on FiRM and a recovery in prices on crypto markets. Let's dive into what it meant for Inverse Finance Ecosystem.
Supply & Market Capitalisation
INV FDV USD: 16,889,612 (Change: +1.35%)
INV Circulating Supply USD: 16,813,287 (Change: +1.38%)
INV Circulating: 559,937 (Change: +0.03%)
DOLA Feds
DOLA Feds
This week the Fed Chair expanded largely the DOLA supply to accomodate FiRM markets (+9.1 millions) and contracted the FRAX-pyUSD (-6.5 millions) and Aura Fed (-0.5 millions) keeping DOLA supply close to DOLA 132 millions.
Total DOLA Supply: 130,640,316 (+2.06%)
FiRM
Usage
FiRM user numbers are displaying unusual increase in week 29. Please note that following a change in the methodology used, the changes won't be in line with plast week numbers.
Borrowers: 71 (+10)
Stakers: 210(-1)
Active Users: 257 (+6)
Markets
In Week 29 FiRM markets display impressive increases in both Collateral deposited and current borrows, driven by larges deposits on wstETH, wBTC and cvxCRV markets as well as a general price recovery on the market.
Total Collateral: 31,682,659 USD (Change: +25.68%)
Current Borrows: 14,122,465 DOLA (Change: +55.71%)
This week we spotted numerous large deposits and borrow transaction on the aforementionned markets (exhaustive list is available at the end of this section). Some noticeable transactions include :
3,055,580 USD deposit on wstETH market (760 wstETH) by 0xba1...8ed at transaction 0x214...5d0
2,000,000 DOLA borrow on wstETH market by 0xba1...8ed at transaction 0x214...5d0
873,418 USD deposit on wBTC market (13 wBTC) by 0xf6d...767 at transaction 0x324...0d5
702,340 USD deposit on wstETH market (170 wstETH) by 0xba1...8ed at transaction 0x91f...3a7
671,860 USD deposit on wBTC market (10 wBTC) by 0x0e7...28d at transaction 0xafc...8c8
607,269 DOLA borrow on wBTC market by 0xf6d...767 at transaction 0x324...0d5
550,000 DOLA borrow on wstETH market by 0xba1...8ed at transaction 0x91f...3a7
DBR
Burned: 314 DBR (Change: +0%)
Total Burned: 17,357,103 DBR
sDOLA
In Week 28 sDOLA deposits witness a shy increase by 10k DOLA :
Total deposits : 1,506,760 DOLA (+0.67%)
DBR Virtual Auction
This week the DBR auction displays as usual a net increase :
Total DOLA bougth : 969,484 DOLA (+32,589 DOLA / +3.48%)
Total DBR sold : 8,469,996 DBR (+461,532 / +5.76%)
DOLA Liquidity Pools
On the LP front, we observe some large movements :
DOLA in LPs: 67,635,501 (-3.4%)
Other Assets in LPs: 47,893,345 USD (-4.62%)
DOLA/Other Assets Ratio: 141.22 (Change: +2.26 pp)
The largest changes this week are observed in the aero DOLA-USDbC (+2.5M) nulling the decrease fom last week, and a sharp decrease in DOLA/FRAXPYUSD deposits by close to USD 7 millions.
Governance
Stay tuned for more insights next week ! If you have any data question don't hesitate to reach out to @naouufel on X/Twitter or to the Analytics General channel on our Discord.
This week in governance was quite active, we've seen:
3 proposal created
3 proposal queued
2 proposal executed
Those proposals were related to :
Notes
Supply & Market Capitalisation : positions : on-chain data (RPC) , prices : DefiLLama
FiRM & Governance : on-chain data (subgraph: inverse-governance-subgraph)
DOLA Feds : on-chain data (RPC)
Markets : prices: Coingecko ; CEX trades & volume: Coingecko ; DEX trades & volume: on-chain data
Liquidity Pools : positions : on-chain data (RPC) ; prices : DefiLLama
To process and analyze the data we make a heavy use of python scripts and SQL which rely on our in-house data analytics platform Inverse Watch.
The data presented in this article has been aggregated on a weekly basis and is combining multiple data sources listed below. It is presented for information purposes and does not constitute an investment advice.
This analysis was realized taking assumptions due to the quality of the historical data available for some token prices. For this reason, some historical values might deviate from the reality
We do strive to continuously improve our data productions processes and are upgrading our methodology every day with the best tools available. For this rreason the data might periodically get revised.