Analytics Weekly Highlights | 2024-W03
Welcome back to our weekly delve into the Inverse Finance ecosystem's analytics. Let’s unpack the highlights for Week 3 of 2024.
Supply & Market Capitalisation
This week we observed the following in the Inverse Finance market dynamics:
INV Total Supply USD: 15,811,200 (Change: -3.23%)
INV Circulating Supply USD: 15,656,657 (Change: -3.25%)
INV Circulating: 462,665 (Change: +0.50%)
DOLA Feds
Stability marked the DOLA Feds with no change in total supply:
Total DOLA Supply: 48,581,853 (No Change)
FiRM
The FiRM markets this week showed significant movements:
Total Collateral: 41,320,176 USD (Change: -5.11%)
Current Borrows: 14,074,389 DOLA (Change: -0.71%)
The decline in collateral was mainly explained by CRV (USD -1,1 million) and cvxCRV (USD -706k) markets, and the declining price of the collateral over last week.
When looking into the FiRM transaction data we do not notice particularly large transactions affecting FiRM markets in Week 03.
$DBR
Burned: 4,318,987 DBR (Change: 43.64%)
Total Burned: 9,897,519 DBR
A staggering number of DBR were burned last week, due to a transaction by M Egorov. Transaction details can be found here :
Usage
Borrowers: 46 (Change: -2 users)
Stakers: 215 (No Change)
Active Users: 235 (Change: -3 users)
Exchange Markets
Week 3 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 32.90 USD (Change: -2.98%).
The weekly trading volume decreasedfrom the previous week to 1,089,431 (Volume Change: -52.86%).
$DOLA:
D$DOLA closed at 0.9899 USD (Change: +0.65%).
The weekly trading volume increased from the previous week, reaching 4,0822,025 USD (Volume Change: +132.68%).
$DBR
DBR showed a very low trading activity, showing a close match between average price, median price and trade price accross the second week of 2024.
$DBR Price Open: 0.1253 USD
$DBR Price Close: 0.1263 USD
$DBR Weekly Average Price : 0.1268 DOLA
$DBR Weekly Median Price : 0.1264 DOLA
$DBR Weekly Volume: 28,314.23 USD
DOLA Liquidity Pools
Key Highlights:
DOLA in LPs: 28,560,544 DOLA
Other Assets in LPs: 14,001,730 USD
DOLA/Other Assets Ratio: 203.98% (Change: +33.52%)
Significant Pool Contributions:
D0LA-USDC AeroLP (Aerodrome on Base)
Maintained its status as the largest liquidity provider.
DOLA Variation: -483,676 DOLA.
Other Assets Variation: -590,241 USD.
TVL Variation USD: -1,073,917 USD (Week Change: -7.07%).
D0LA-FRAX-USDC (CRV on Ethereum)
Experienced a notable increase in DOLA holdings.
DOLA Variation: +278,535 DOLA.
Other Assets Variation: -1,963,512 USD.
TVL Variation USD: -1,684,976 USD (Week Change: -14.60%).
D0LA-USDC arbblp (BAL on Arbitrum)
Slight decrease in DOLA holdings and significant drop in other assets.
DOLA Variation: -19,669 DOLA.
Other Assets Variation: -531,403 USD.
TVL Variation USD: -551,072 USD (Week Change: -12.49%).
Governance
1 proposals executed,
1 proposal created.
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.