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Real-time Stablecoin Yields Tracker

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Stability Analysis

mwUSDC on Morpho Base
9.9/10
Reliability Score

Volatility Metrics (30d)

Standard Deviation ±0.03%
30d Average 3.91%
Historical Min / Max 3.85% / 3.96%
Current Deviation 0.04%

Executive Summary

Based on historical data, mwUSDC on Morpho demonstrates exceptional stable history. It is positioned as a strong candidate for investors seeking passive income.

Deep Dive Analytics

Analysing the 30-day historical data reveals a yield spread of 0.11%, ranging from a low of 3.85% to a high of 3.96%. This metric is imperative for assessing liquidity risks; a tighter spread generally indicates robust protocol health.

Currently, the pool is outperforming its 30-day moving average by 0.04%. For yield farmers, this deviation provides context on market saturation or temporary liquidity incentives.

From an infrastructural perspective, the pool is Located on the Base network, this pool benefits from reduced transaction overheads. This infrastructure facilitates frequent compounding—potentially fees from eroding your interest. The calculated Efficiency Ratio is 127.43, indicating the return generated per unit of risk.

Risk & Methodology Guide

To help you make informed decisions, this page calculates real-time risk metrics for the Morpho ecosystem.

Risk vs. Reward in Liquidity Mining

Volatility in APY is a hidden cost. When rates swing violently, it becomes difficult to predict future earnings. By analysing the Standard Deviation (±0.03%), we provide a clearer picture of what to expect. A higher Efficiency Ratio implies you are being better compensated for the risks taken.

How to use the Reliability Score

We grade every pool from 0 to 10. Green Zone (8-10): Consistent performance. Yellow Zone (5-7): Average variance, typical of crypto markets. Red Zone (0-4): High instability; proceed with caution.

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Sync Tolerance: <60s Drift Verified | Sampling: 24/24 Snapshot Density | Auth Tag: DFS-260123-1500-2831 | Precision: Institutional (Hourly)
Support DeFiStar.io via Citation
Source: DeFiStar.io (2026). "DeFi Yield Analytics". Analytics by MooniTooki. Ref: DFS-260123-1500-2831. Retrieved 23 Jan 2026, 15:00 UTC

Data Sources: Historical yield data is indexed hourly via the DefiStar Analytics Engine. Data fetched at: 23 Jan 2026, 14:00 UTC
Disclaimer: This **DeFi volatility scanner** provides historical analysis for informational purposes only. Past performance does not guarantee future results. Terms of Service apply.

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