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Staking System Overview

Governance Layer • Validators • Protocol Control

comprehensive guide to staking models and mechanics

Staking System Overview — Yield Models & Delegation Mechanics

Staking is the foundation of many blockchain networks — used to secure consensus, validate transactions, and reward token holders. But staking is no longer a single model. This overview breaks down the four primary forms of staking systems used across protocols today: traditional staking, delegated staking, liquid staking, and restaking.

Use Case: Provides a framework for understanding how staking earns rewards, how it’s evolving, and which methods maintain liquidity, decentralization, or protocol control.

Key Concepts:

  • Validator Sets — Groups of authorized nodes that validate transactions and secure the network
  • Lock-Up Periods — Time duration assets must remain staked before withdrawal is allowed
  • Delegation — Process of assigning stake to a validator without transferring custody
  • Liquid Yield — Earning rewards while maintaining asset liquidity through derivative tokens
  • Restaking Protocols — Systems that allow already-staked assets to secure additional networks
  • Security Guarantees — Assurances provided by stake-backed consensus mechanisms
  • Staking — Locking tokens to participate in network validation and earn rewards
  • Proof of Stake — Consensus mechanism underlying most staking systems
  • Validator Node — Network participant that produces blocks and earns rewards
  • Delegated Validator — Elected node receiving delegated stake from users
  • Liquid Staking Protocol — Services providing tradeable staked token derivatives
  • Delegated Proof of Stake — Consensus model where users delegate to validators
  • APY – Annual Percentage Yield — Annualized return rate including compounding

Core Staking Models:

  • 1. Traditional Staking
    • User locks their tokens directly into the network (e.g., $ETH, $ADA)
    • Assets are illiquid during the staking period
    • Rewards are distributed based on uptime and validator performance
  • 2. Delegated Staking
    • User assigns their stake to a third-party validator without giving up custody
    • Popular in networks like $XRP (UNL model), $FLR (FTSO), and $ATOM
    • Validators earn commission, and users earn passive yield
  • 3. Liquid Staking
    • User stakes tokens and receives a liquid “receipt” token (e.g., $sFLR, $stETH)
    • Token can be used in DeFi (lending, farming, etc.) while earning staking rewards
    • Popularized by Lido, Rocket Pool, and Sceptre Protocol
  • 4. Restaking
    • User takes already staked assets and reuses them to secure additional networks or services
    • Enables multi-use security and layered yield (e.g., EigenLayer on Ethereum)
    • Still experimental — raises questions around slashing and composability risk

Why Staking Systems Matter:

  • Defines how networks stay secure and decentralized
  • Shapes user incentives, liquidity availability, and validator power dynamics
  • Influences how DeFi protocols are built on top of underlying infrastructure

Summary: Staking has evolved from simple token lock-ups to a diverse ecosystem of yield-generating mechanisms. Understanding the differences between traditional, delegated, liquid, and restaking models helps users optimize returns while managing risk, liquidity, and exposure across multiple protocols.

Model Liquidity Complexity Yield Potential Risk Level
Traditional Staking Locked Low Base yield Low
Delegated Staking Locked (delegated) Low-Medium Base yield minus commission Low-Medium
Liquid Staking Liquid (derivative) Medium Base + DeFi composability Medium
Restaking Variable High Layered (multiple sources) High

Staking Model Deep Dive

detailed comparison of four primary models

Traditional Staking
• Direct network participation
• Full lockup required
• Native rewards only
• Examples: Solo ETH, ADA pools
• Best for: Long-term holders
• Trade-off: No liquidity access
Delegated Staking
• Stake through validators
• No technical setup needed
• Commission to validator (5-20%)
• Examples: Cosmos, Flare FTSO
• Best for: Passive participants
• Trade-off: Validator dependency
Liquid Staking
• Receive tradeable derivative
• Use in DeFi while staking
• “Double-dip” yield potential
• Examples: Lido, Sceptre, Rocket Pool
• Best for: Active DeFi users
• Trade-off: Smart contract risk
Restaking
• Reuse staked assets
• Secure multiple networks
• Layered yield stacking
• Examples: EigenLayer, Symbiotic
• Best for: Yield maximizers
• Trade-off: Compounded slashing risk

Staking by Network

how major protocols implement staking

Network Primary Model Liquid Option APY Range Unbonding
Ethereum Traditional + Liquid stETH, rETH, cbETH 3-4% Variable (queue)
Flare Delegated (FTSO) sFLR (Sceptre) 5-12% None (liquid)
Cosmos Delegated stATOM, qATOM 15-20% 21 days
Cardano Delegated (pools) Limited options 3-5% None (liquid)
Solana Delegated mSOL, jitoSOL 6-8% 2-3 days
Kinesis Holder’s Yield Native (always liquid) Variable (real revenue) None
Key Insight: Kinesis ($KAG/$KAU) represents a unique model—yield from real transaction fees on precious metals, not inflation. This “Holder’s Yield” is revenue-backed, making it fundamentally different from most staking systems.

Liquid Staking Ecosystem

major providers and their derivatives

Ethereum LSTs
• stETH (Lido) — Largest, rebase model
• rETH (Rocket Pool) — Decentralized
• cbETH (Coinbase) — Institutional
• frxETH (Frax) — Dual token model
• swETH (Swell) — Restaking ready
• Market share: ~35% of staked ETH
Multi-Chain LSTs
• sFLR (Sceptre) — Flare ecosystem
• mSOL (Marinade) — Solana
• sAVAX (Benqi) — Avalanche
• stATOM (Stride) — Cosmos
• stDOT (various) — Polkadot
• Growing cross-chain coverage
LST DeFi Strategies
• Provide LP (stETH/ETH pairs)
• Collateral for borrowing
• Yield farming on Curve/Convex
• Restaking via EigenLayer
• Leveraged staking loops
• Cross-chain bridging
LST Risks
• Smart contract vulnerabilities
• Depeg risk (stETH 2022)
• Slashing passed to holders
• Centralization (Lido dominance)
• Composability failures
• Withdrawal queue delays

Restaking Explained

the frontier of staking innovation

How Restaking Works
1. User stakes ETH (or LST like stETH) with restaking protocol
2. Protocol uses that stake as collateral for additional services
3. Services (AVSs) pay fees for the security they receive
4. User earns base staking yield + restaking rewards
5. Slashing risk compounds across all secured services
Restaking Benefits
• Higher total yield
• Capital efficiency
• Bootstrap security for new protocols
• Shared security model
• Composable staking
• New yield sources
Restaking Risks
• Compounded slashing exposure
• Smart contract complexity
• Untested at scale
• Correlation risk
• Operator failures
• Regulatory uncertainty
Current State: EigenLayer leads restaking on Ethereum with billions in TVL. Still experimental—approach with caution. Best for sophisticated users who understand the layered risk profile.

Staking System Checklist

navigating staking options effectively

Core Understanding
☐ Know staking fundamentals
☐ Understand PoS consensus
☐ Know validator role
☐ Recognize four staking models
☐ Understand lock-up periods
☐ Know unbonding mechanics
Model Selection
☐ Traditional: Long-term, low complexity
Delegated: Passive, validator-dependent
Liquid: DeFi composability
☐ Restaking: Yield maximization
☐ Match model to risk tolerance
☐ Consider liquidity needs
Risk Assessment
☐ Evaluate smart contract risk
☐ Check validator/protocol reputation
☐ Understand slashing conditions
☐ Know depeg risks (LSTs)
☐ Assess compounding risks (restaking)
☐ Diversify across models
Yield Optimization
☐ Compare APY across options
☐ Factor in commission/fees
☐ Consider DeFi composability
☐ Track reward claiming
☐ Evaluate yield sources (inflation vs revenue)
☐ Include real-yield assets
The Principle: Staking has evolved from simple lock-and-earn to a sophisticated ecosystem of yield strategies. The best approach matches your goals: traditional for simplicity, delegated for passive income, liquid for DeFi flexibility, and restaking for maximum yield. Understand the trade-offs—there’s no free lunch in staking.

 
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