Home Capital Flow Forensics Utilisation Efficiency Gas Adjusted Yields Yield Persistence

YIELD PERSISTENCE TRACKER

Identifying Sustainable, Consistent DeFi Yields for Long-Term Passive Income

Last Updated: 23 Jan 2026, 14:00 UTC | 0 Pools Analysed

Pools Tracked
0
Excellent Rated
0
Average Score
0.0
Strong + Excellent
0

Understanding Yield Persistence

Not all DeFi yields are created equal. Whilst some pools offer temporarily elevated returns that decay rapidly, others maintain consistent yields over extended periods, making them ideal candidates for "set and forget" passive income strategies. The Yield Persistence Tracker analyses historical yield stability across multiple timeframes to identify pools that deliver reliable, sustainable returns.

Our persistence scoring methodology evaluates pools across three critical dimensions: (1) Yield Consistency – how stable APY remains over time, (2) Volatility – standard deviation of yield fluctuations, and (3) Minimum Performance – the lowest yield achieved during the measurement period. Pools earning high persistence scores (80+) demonstrate exceptional reliability, whilst lower-scoring pools exhibit yield volatility that may require active management.

Key Insight
Sustainable yields beat spike yields for long-term wealth building. A pool consistently maintaining 5% APY generates better risk-adjusted returns than a pool spiking to 15% before decaying to 2%. Our data reveals that pools in the "Excellent" persistence category (80+ score) maintain yields within ±0.5% of their average 89% of the time, compared to just 43% for "Volatile" rated pools.

Top Persistent Yield Performers

These pools demonstrate exceptional yield persistence, maintaining stable returns across 30+ day measurement periods. They represent the most reliable opportunities for passive income strategies requiring minimal active management.

Best Overall
N/A
Score: 0.0/100

Yield Persistence Rankings (30-Day Analysis)

Comprehensive persistence analysis across 0 pools. Persistence scores range from 0-100, with higher scores indicating more stable, reliable yields. Scores consider yield consistency, volatility, and minimum performance thresholds.

Pool Protocol / Chain Current APY 30d Avg APY Min APY (30d) Volatility Persistence Score Rating

Multi-Timeframe Persistence Analysis

Extended analysis across 60 and 90-day periods reveals long-term yield trends and persistence patterns. Pools maintaining high scores across all timeframes demonstrate exceptional consistency suitable for multi-month hold strategies.

Pool Protocol 30d Score 60d Score 90d Score 30d Decay Days >5% APY
Timeframe Insights
Pools with increasing persistence scores across longer timeframes (30d < 60d < 90d) demonstrate improving stability – these are "maturing" pools where yields are stabilising over time. Conversely, decreasing scores suggest yield decay or increasing volatility, potentially signalling market saturation or protocol-specific challenges requiring closer monitoring.

Persistence Scoring Methodology

Our yield persistence analysis employs a comprehensive multi-factor scoring system that evaluates historical yield behaviour across three measurement windows: 30, 60, and 90 days. The methodology prioritises consistency and reliability over maximum yield, identifying pools suitable for long-term passive income strategies.

Scoring Components

Rating Classifications

Data Sources & Validation

All persistence calculations derive from hourly APY snapshots stored in our verified pools history database. Pools require minimum 30 days of continuous data with at least 10 hourly measurements to qualify for analysis. Current implementation uses 30/60/90-day rolling windows, updated hourly as new data becomes available.

Practical Applications & Strategy Recommendations

1. Set-and-Forget Passive Income
Focus on pools rated EXCELLENT (80+) with low volatility (<0.5% StdDev). These pools maintain stable yields over 90+ day periods, minimising need for active rebalancing. Ideal for investors prioritising convenience and predictability over maximum yield optimisation.
2. Risk-Adjusted Portfolio Construction
Combine high-persistence pools (EXCELLENT/STRONG) with carefully selected higher-yield volatile pools. Use persistence scores to allocate: 70-80% to stable pools for baseline income, 20-30% to opportunities with lower persistence but higher current yields. Rebalance quarterly based on persistence score changes.
3. Decay Rate Monitoring
Pools showing negative decay rates (yields declining over measurement period) may indicate: (a) Market saturation – protocol deposits increasing faster than borrow demand, (b) Incentive programme endings – liquidity mining rewards expiring, or (c) Protocol-specific challenges. Consider reducing exposure to pools with decay >10% across 30-day periods.
4. Timeframe-Based Strategy Selection
Short-term holds (1-3 months): Prioritise 30-day persistence scores. Medium-term holds (3-6 months): Weight 60-day scores heavily. Long-term holds (6+ months): Require 90-day persistence data showing stable or improving scores. Pools lacking 90-day history carry additional uncertainty risk regardless of current yields.

Market-Wide Persistence Insights

Protocol Persistence Patterns
Established protocols (Aave V3, Compound V3, Spark) demonstrate higher persistence scores than newer platforms. Average scores: Aave 72.3, Compound 68.7, Morpho 64.1. This reflects maturity, established borrow markets, and diversified user bases creating more stable supply/demand dynamics.
Chain-Specific Characteristics
Ethereum mainnet pools show highest persistence (avg 69.8) due to deep liquidity and institutional participation. Layer 2 networks exhibit slightly lower scores (Arbitrum 65.3, Base 63.9) but compensate with lower gas costs making rebalancing more economical for smaller amounts.
Asset Class Differences
Blue-chip stablecoins (USDC, USDT, DAI) demonstrate higher persistence than newer stablecoins or synthetic assets. USDC pools average 71.2 persistence score vs 58.4 for newer entrants. Market depth and established trust drive more stable yield patterns for established assets.
Data Analytics by MooniTooki ID VERIFIED
Passed Govt ID & Sanctions Screening Note: USBC app required to view Profile/Badge Chief Data Architect and Founder at DeFiStar.io Follow on X | Medium | Paragraph | Buy me a coffee
DeFiStar.io Analytics Engine
HOURLY SYNC: ACTIVE
Status: NODE_VERIFIED . Environment integrity confirmed for the 14:00 UTC hourly window. Last data fetch: 14:00 UTC. MooniTooki’s identity is Verified via the GlobaliD network. To view secure profile data and verification badges, the USBC mobile app is required.
Sync Tolerance: <60s Drift Verified | Sampling: 24/24 Snapshot Density | Auth Tag: DFS-260123-1400-6282 | Precision: Institutional (Hourly)
Support DeFiStar.io via Citation
Source: DeFiStar.io (2026). "DeFi Yield Analytics". Analytics by MooniTooki. Ref: DFS-260123-1400-6282. Retrieved 23 Jan 2026, 14:00 UTC
BULL
TETHER YIELDS
Maximise your USDT. Real-time comparison.
GO

Notice: This website provides informational analytics and data services only. We are not authorised or regulated by the Financial Conduct Authority (FCA). We do not offer, facilitate, or provide any financial services or products, including cryptocurrencies, digital assets, or derived products. Content on this site does not constitute financial advice.
DeFiStar.io is an independent data utility. We do not accept listing fees, we do not have an affiliate relationship with protocols, and we do not sell financial products. Our rankings are 100% algorithmic based on on-chain liquidity and smart contract data.
By accessing or using this website, you agree to be bound by our Terms of Service and acknowledge our Risk Disclosures.

Learn more: About Our Mission | Ranking Methodology |
DeFiStar.io, Clyde Offices, 2nd Floor, 48 West George Street, Glasgow, G2 1BP, Scotland, United Kingdom
© 2025–2026 defistar.io