Analytics Weekly Highlights | 2023-W52

Naoufel

1/1/20244 min read

Happy New Year, invaders! Welcome to the first Analytics Weekly Highlights of 2024, covering the final week of 2023, Week 52.

This week has been a blend of steady growth and minor adjustments within the Inverse Finance ecosystem. Let's take a closer look at the key metrics and developments.

Supply & Market Capitalisation

Week 52 showed positive movements in INV both Total and Circulating Supply, indicating a resilient market following the previous week steady increase:

  • FDV USD: 19,027,200 (Change: +2.32%)

  • Circulating Supply USD: 18,843,521 (Change: +2.33%)

  • Circulating INV: 451,130 (Change: +0.55%)

DOLA Feds

Week 52 witnessed significant movements in the DOLA Feds, reflecting strategic adjustments across various sectors:

  • Total Supply of DOLA: 49,571,853 (Change: -2.89%)

  • The most notable change was a decrease in supply in the FiRM Fed by 1,474,500 DOLA.

FiRM

User activity in FiRM remained stable, with no significant changes in borrowers and depositors numbers.

The FiRM markets in Week 52 showed some interesting shifts in terms of collateral and borrowing:

  • Total Collateral: The total collateral in the FiRM markets saw a modest increase, totaling 48,954,481 USD, which marks a change of +0.87% from the previous week.

  • Current Borrows: Current borrows experienced a slight decrease, coming in at 15,272,000 DOLA, a change of -0.03% compared to the prior week.

These changes in the FiRM markets reflect a cautious yet steady approach from users in terms of depositing collateral and borrowing, indicating an environment of careful optimism as the year comes to a close.

$DBR

  • Burned: 29,766 DBR (0.56% of total amount burned)

  • Total Burned: 5,302,680 DBR

Usage
  • Depositors : 238 (+0)

  • Stakers : 213 (+0)

  • Borrowers : 51 (+0)

Exchange Markets

Week 52 in the Inverse Finance ecosystem exhibited diverse trends in market prices, reflecting the ongoing adaptability in response to market fluctuations.

  • $INV: The price of $INV experienced a slight decrease, closing at 39.59 USD (Change: -0.90%). The weekly trading volume also saw an increase, totaling 3,026,508.33 USD (Change: +31.58%). This indicates a renewed interest in market activity following previous trends.

  • $DOLA: Demonstrating its resilience, $DOLA maintained a stable price with a slight uptick, closing at 0.9960 USD (Change: +0.32%). The trading volume increased significantly to 3,707,656.25 USD (Change: +48.99%), suggesting continued investor confidence amidst varying market conditions.

  • $DBR: $DBR showed an increase in price, closing at 0.1260 USD (Change: +2.08%), but witnessed a sharp decrease in trading volume to 16,834.09 USD (Change: -314.85%).

$INV

$DOLA

DOLA Liquidity Pools

In Week 52, amidst fluctuating market conditions, DOLA continued to demonstrate significant influence within the liquidity sphere. The week was characterized by notable changes in the DOLA/Other Assets ratio, highlighting the dynamic and responsive nature of the liquidity pools.

Key Highlights:

  • DOLA Value in LPs: There was an increase in the DOLA value within liquidity pools, reaching 30,418,095 DOLA. This represents a week-on-week change of +1.11%.

  • Other Assets Value in LPs: Conversely, there was a decrease in the value of other assets in the liquidity pools to 19,837,662 USD, marking a week-on-week change of -9.61%.

  • DOLA/Other Assets Ratio: This ratio saw a significant increase to 153.34%, indicating a notable shift from the previous week (+15.73%).

Significant Pool Contributions:

  1. D0LA-USDC AeroLP (Aerodrome on Base)

    • Continued as the largest liquidity provider for Inverse.

    • DOLA Variation: +100,470.36 DOLA

    • TVL Variation USD: -446,113.11 USD (Week Change: -2.52%)

  2. D0LA-FRAX-USDC (CRV on Ethereum)

    • This pool experienced a decrease over the week.

    • DOLA Variation: -128,919.55 DOLA

    • TVL Variation USD: -1,001,512.09 USD (Week Change: -7.33%)

The data from Week 52 highlights the highly dynamic nature of liquidity pool activities, with significant shifts in DOLA values and the DOLA/Other Assets ratio. The prominence of D0LA-USDC AeroLP continues to play a critical role in the liquidity provision landscape of the Inverse Finance ecosystem, reflecting its adaptability and responsiveness to market changes.

Governance

Two proposals were execurted this week, related to INV Oracle price feed update, and the switch of the stETH market to a wstETH market with no additionnal creations or cancellations.

As we step into a new year, the Week 52 data paints a picture of strategic adaptation and resilience within the Inverse Finance ecosystem. The observed shifts in the DOLA Liquidity Pools and the overall market dynamics reflect a sophisticated response from investors to the evolving market conditions.

The changes in the DOLA Feds, alongside the steady performance in the FiRM markets, highlight an ecosystem that is not just reactive but proactively navigating through the complexities of the crypto world. This adaptability is crucial for sustaining growth and stability as we embark on the challenges and opportunities of 2024.

Wishing everyone a prosperous start to the new year!! 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 to improve the quality of our reports. For this rreason the data might periodically get revised.

Sources