Analytics Weekly Highlights | 2024-W06
Welcome to the Analytics Weekly Highlights for Week 6 of 2024, where we delve into the latest trends and data within the Inverse Finance ecosystem.
Supply & Market Capitalisation
This week, we've seen a consolidation of the market capitalisation :
INV FDV USD: 17,576,850 (Change: +15.33%)
INV Circulating Supply USD: 17,426,179 (Change: +15.50%)
INV Circulating: 477,681 (Change: +0.81%)
DOLA Feds
DOLA Feds
Total DOLA Supply: 46,020,401 (Change: 0%)
FiRM
The FiRM markets this week are consolidating supported by CRV (+5%) and cvxCRV prices (+3.5%), but are showing a low borrowing activity, showing borrowers are remaining cautious :
Total Collateral: 959,203 USD (Change: +2.52%)
Current Borrows: 14,108,562 DOLA (Change: +0.17%)
There were no noticeables transactions over the week
$DBR
Burned: 2,928 DBR (Change: +0.03%)
Total Burned: 10,009,919 DBR
Usage
Borrowers: 45 (-1)
Stakers: 216 (+0)
Active Users: 235 (-1)
Exchange Markets
Week 4 of 2024 in the Inverse Finance ecosystem displayed diverse trends in market prices and volumes :
$INV:
The price of $INV continued its decrease, ending the week at 32.17 USD (Change: -1.58%).
The weekly trading volume increased slightly from the previous week to 998,372 USD (Volume Change: -6.69%).
$DOLA:
Despite a price error happening in the coingecko feed, DOLA remained stable
$DOLA closed at 0.9910USD (Change: -0.4%).
The weekly trading volume increased up to 3,075,231 USD (Volume Change: +7.41%)
$DBR:
DBR price increased through week 4 to 0.1338 USD (+1.73%)
DBR trades median weekly price : 0.1326 DOLA
DBR trades average weekly price : 0.1324 DOLA
A few DOLA/DBR trades (4) over 10,000 DOLA value were spotted over the week, you can retrieve their details in the table below.
DOLA Liquidity Pools
On the LP front, week 6 confirms the recovery of the DOLA / Other Assets ratio accross pools :
DOLA in LPs: 23,539,636 DOLA (+0.47%)
Other Assets in LPs: 16,603,829 USD (+10.83%)
DOLA/Other Assets Ratio: 141.77% (Change:-33.88 pp)
D0LA-USDC AeroLP (Aerodrome on Base)
Comes back as the largest liquidity provider by TVL.
DOLA Variation: +2,076,822.73 DOLA.
Other Assets Variation: +1,669,996.15 USD.
TVL Variation USD: +3,746,818.88 USD (Week Change: +26.60%).
D0LA-FRAX-USDC (CRV on Ethereum)
Maintains its position as the second largest liquidity provider by TVL.
DOLA Variation: -718,466.77 DOLA.
Other Assets Variation: +387,090.67 USD.
TVL Variation USD: -331,376.09 USD (Week Change: -3.42%).
D0LA-USDC ArbBLP (BAL on Arbitrum)
Experienced a rank change, indicating a shift in its position.
DOLA Variation: -158,887.98 DOLA.
Other Assets Variation: +66,568.25 USD.
TVL Variation USD: -92,319.73 USD (Week Change: -3.69%).
D0LA-USDC BLP (BAL on Ethereum)
Shows a slight improvement in rank.
DOLA Variation: -132,241.97 DOLA.
Other Assets Variation: +126,952.72 USD.
TVL Variation USD: -5,289.25 USD (Week Change: -0.19%).
Governance
Week 6 was an active week on the governance front :
1 proposals created
2 proposals queued
2 proposal executed
You can check our governance page for more details about each individual proposal or participate in the governance process : https://www.inverse.finance/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.
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.