# Monthly Risk Report (Optimism) **URL:** \ **Category:** Updates\ **Created:** [January 30, 2026, 6:23pm UTC](https://forum.moonwell.fi/t/monthly-risk-report-optimism/2060 "2026-01-30T18:23:10Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![Jor-el](https://dub1.discourse-cdn.com/flex017/user_avatar/forum.moonwell.fi/jor-el/32/3827_2.png) [@Jor-el](https://forum.moonwell.fi/u/Jor-el)\ **Post date:** [January 30, 2026, 6:23pm UTC](https://forum.moonwell.fi/t/monthly-risk-report-optimism/2060/1 "2026-01-30T18:23:10Z")
# **Monthly Risk Report (Optimism)** **January 2026** _Prepared as an independent, market-by-market risk assessment based on on-chain data as of 30 January 2026._ * * * ## **Executive Summary** This assessment provides a market-level view of Moonwell’s risk posture on Optimism as of late January 2026, based on observed utilization, effective liquidity, collateral composition, interest-rate behavior, and protocol configuration across the Optimism deployment. Three structural realities define the current risk profile: 1. **Stablecoin markets (DAI, USDC, USDT, USDT0)** are the primary stress carriers, exhibiting elevated utilization, thin effective liquidity buffers, and high rate sensitivity. 2. **WETH is the dominant systemic transmission channel** , linking stablecoin demand, ETH-derivative collateral, and ecosystem-token exposure. 3. **Several peripheral markets (weETH, WBTC, USDT0)** are economically small but exhibit **governance or configuration-driven risk** , where caps or parameters no longer reflect actual usage. While most ETH-derivative markets (wstETH, rETH, weETH) remain low-stress today, they collectively embed **strong ETH correlation and partial self-collateralization loops** , which could amplify liquidation clustering under adverse price movements. * * * ## **Systemic Market Groupings** ### **1. Stablecoin Markets** #### **DAI** DAI is the most utilization-stressed stablecoin market on Optimism. With **~89% utilization** , effective liquidity buffers are extremely thin (~11%), leaving the market vulnerable to even modest withdrawals or borrow increases. Despite this tightness, caps are not binding. The constraint is purely economic, not governance-driven. The interest-rate model exacerbates fragility: with a 90% kink and steep jump multiplier, DAI remains highly sensitive to marginal utilization changes. This was evident earlier in January, when utilization **briefly approached 100%** and **borrow rates spiked above 100% APY**. Structurally, DAI is **almost entirely self-referential**. Over 96% of borrowing and ~99.6% of collateral is DAI itself. This minimizes cross-asset exposure but introduces **recursive liquidity risk** , where stress propagates internally rather than through diversification. * * * #### **USDC** USDC is the **largest and most systemically important market** on Optimism. Utilization sits near **63%** , leaving a still-meaningful but shrinking liquidity buffer (~37%). Borrow demand is diversified but ecosystem-linked, with OP and VELO together accounting for over 60% of borrows. This ties USDC liquidity directly to **governance- and incentive-token cycles** , rather than purely defensive stablecoin demand. Collateral composition introduces structural risk: **VELO dominates posted collateral (~69%)**, with additional exposure to ETH derivatives. As a result, liquidation outcomes depend heavily on secondary-market liquidity rather than on stable collateral buffers. * * * #### **USDT & USDT0** USDT and USDT0 both operate at **elevated utilization (81–88%)**, with thin liquidity buffers and persistent rate pressure. - \*\*USDT is primarily a funding source for stablecoin-denominated strategies, with USDT itself representing over 98% of outstanding borrows. - **USDT0** , while much smaller, frequently operates near or above its interest-rate kink, resulting in **very high APYs (18–22%)** despite modest absolute balances. Collateral in both markets is heavily crypto-native (WETH, OP, VELO), amplifying downside sensitivity during volatility. * * * ### **2. ETH & ETH-Derivative Markets** #### **WETH – Systemic Core Market** WETH is the **primary risk transmission channel** on Optimism. With **~71% utilization** , it operates materially tighter than ETH-derivative peers and links stablecoin borrowing directly to ETH-correlated collateral. Borrow demand is stablecoin-heavy (USDC and USDT0 ~80%), while collateral is dominated by **ETH derivatives (wstETH, weETH, rETH)** and VELO. This creates a **one-directional risk loop** : stablecoin stress feeds into ETH collateral liquidations, which in turn feed back into liquidity pressure. Although still below the 90% kink, WETH sits close enough that **incremental stress could rapidly steepen rates**. * * * #### **wstETH, rETH, weETH** These markets are operationally safe today: - **wstETH:** ~4% utilization, near-total self-collateralization - **rETH:** ~13% utilization, stablecoin-leaning borrow demand - **weETH:** ~2.5% utilization, but constrained by a misaligned supply cap configuration\*\* Despite ample liquidity, all three share common traits: - Strong ETH price correlation - Partial or dominant self-collateralization - Minimal rate sensitivity under current conditions * * * ### **3. Governance & Ecosystem Tokens** #### **OP** OP remains lightly utilized (~20%) and unconstrained by caps. Borrowing is overwhelmingly stablecoin-driven, positioning OP as a **liquidity bridge rather than a speculative leverage asset**. Collateral composition introduces moderate ecosystem risk (VELO ~30%), but overall utilization and rates remain subdued. * * * #### **VELO** VELO exhibits **very low utilization (~5%)** with abundant liquidity and muted rate dynamics. Borrowing is diversified across stablecoins and ETH-native assets, while collateral is more balanced than in most governance-token markets. * * * ### **4. Dormant / Configuration-Driven Markets** #### **WBTC** WBTC is functionally dormant. Extremely small balances, conservative parameters (0.1% collateral factor, 100% reserve factor), and near-zero activity render it **systemically irrelevant** in its current form. * * * ## **Protocol-Wide Risk Synthesis** - **Highest utilization markets:** DAI, USDT0, USDT, WETH - **Most systemically important:** USDC and WETH - **Most rate-sensitive:** DAI and USDT0 - **Strongest liquidity buffers:** wstETH, rETH, VELO - **Governance-constrained markets:** weETH - **Highest self-collateralization:** DAI, wstETH * * * ## **Governance Considerations** Several configuration dynamics merit monitoring: - DAI’s proximity to its kink makes it structurally fragile despite modest size. - USDT0’s high utilization and extreme rates may justify parameter reassessment despite small balances. - WETH’s centrality suggests it should remain the primary focus of liquidity and reserve calibration. * * * ## Appendix: Data Sources and Methodology All figures are derived from Moonwell’s on-chain market data and protocol parameters, sourced primarily from the [Anthias Labs Risk Dashboard](https://risk.anthias.xyz/moonwell/base/overview) and the community-maintained [Moonwell Risk Dashboard on Dune](https://dune.com/jorel/moonwell-protocol-risk-dashboard?utm_source=share&utm_medium=copy&utm_campaign=dashboard), as of 30 January 2026. Utilization is calculated as total borrows divided by total supply, while cap utilization is measured against protocol-defined limits. This report is intended for research and governance discussion purposes and does not constitute financial advice.