Solana
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$124.50 model
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Ethereum
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$840.12 model
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BNB
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$45.20 model
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Base
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Solana
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Polygon
Route check
$8.45 model
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Solana
Simulated route
$124.50 model
Example
Ethereum
Private bundle
$840.12 model
Example
BNB
Liquidation test
$45.20 model
Example
Base
Arbitrage test
$12.05 model
Example
Solana
Jito bundle
$310.00 model
Example
Polygon
Route check
$8.45 model
Example
ComplianceEvaluation 阶段⏱ 5 分钟阅读

Liquidation MEV: Risk-Aware Strategy Guide for 2026

**Answer first** - Liquidation MEV can be attractive because protocols incentivize third parties to close unhealthy debt positions, but net outcomes depend on oracle timing, gas co

Liquidation flow chart showing oracle update triggering Aave health factor breach
FR
FRB 团队MEV 专家
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#MEV#Liquidations#DeFi#Aave#Strategy

Answer first - Liquidation MEV can be attractive because protocols incentivize third parties to close unhealthy debt positions, but net outcomes depend on oracle timing, gas costs, competition, reverted attempts, and capital availability. Searchers should simulate liquidations, budget failed attempts, and avoid treating historical liquidation volume as a return forecast.

For prerequisites, read What is MEV and MEV vs Arbitrage Difference.

Why Liquidations Can Be Operationally Attractive

Three structural reasons:

  1. Asymmetric counterparty. Liquidatable borrowers are forced sellers; protocols want their positions closed. Searcher fee is paid by the protocol, not extracted from a victim.
  2. Non-zero-sum. Two arbitrageurs can both lose money on the same opportunity. Two searchers competing for the same liquidation: one wins the fee, the other reverts (cheap simulation cost only).
  3. Bull and bear both work. Bull markets create over-leveraged longs that get liquidated on small dips. Bear markets create cascading liquidations on every meaningful drawdown.

This is why every serious MEV firm has a liquidation desk.

How Liquidations Work (Aave V3 as the Reference)

Each lending position has a health factor:

HF = (collateral × liquidation_threshold) / debt

When HF < 1, the position is liquidatable. A liquidator calls liquidationCall(...) and:

  • Repays a portion of the debt (up to 50% in healthy markets, 100% in extreme cases).
  • Receives the equivalent value of the borrower's collateral plus a liquidation bonus (typically 5–10% in 2026).

The liquidation bonus is the searcher's profit, minus gas, minus the cost of the repaid debt asset (which the searcher must source).

The Capital Flow

[Searcher] borrows debt asset (often via flash loan)
   ↓
   calls liquidationCall(borrower, debt_asset, debt_amount, collateral_asset)
   ↓
[Aave] takes repayment, transfers collateral + bonus to searcher
   ↓
[Searcher] swaps collateral back to debt asset, repays flash loan
   ↓
   keeps: bonus minus gas minus DEX slippage

Flash loans are the liquidation searcher's superpower. They mean liquidations don't require holding the debt asset in advance — just enough capital for gas and slippage buffer.

Monitoring: The Off-Chain Half

Every health factor below ~1.05 is a candidate. The strategy is:

  1. Index every position on every monitored protocol.
  2. Recalculate HF on every oracle update.
  3. Pre-build calldata for the most liquidatable positions.
  4. When HF crosses 1.0, submit the prepared bundle.

In 2026, top liquidation searchers maintain off-chain HF tables for 200,000+ positions across Aave, Morpho, Compound, Spark, and Euler. They recalculate continuously, prioritized by closeness-to-threshold.

FRB Agent's liquidation module ships with a pre-indexed HF watcher; user adds capital and selects protocols.

Oracle Updates: The Trigger

Liquidations almost never happen at "random" prices. They happen at oracle update boundaries. Chainlink, Pyth, and Redstone push prices in discrete updates. When an update lowers a collateral price below threshold, the next block's liquidations cascade.

So liquidation searchers monitor:

  • Every Chainlink update transaction in the mempool
  • Pyth pull updates
  • Off-chain oracle infrastructure (where exposed)

This is why oracle update + liquidation happens in the same block in well-tuned strategies. See How to Read the Mempool.

Competition Profile

Liquidations are competitive but not as crowded as arbitrage. In 2026:

  • Top 5 firms capture ~40% of large liquidations (>$500k position size).
  • Smaller liquidations ($1k–$50k positions) are accessible to retail searchers — top firms don't bother.
  • Mid-size ($50k–$500k) is the sweet spot for serious individual searchers.

This means a tuned individual searcher with $50k+ working capital can sustainably compete in the mid-size band.

Capital Requirements

Despite flash loans removing the need to hold debt assets, liquidations still require:

  • Gas float: liquidations on L1 cost $30–150 in gas per attempt. On L2, $0.50–$2.
  • Slippage buffer: collateral must be swapped to debt asset; pool depth matters.
  • Failed-attempt budget: ~5–15% of attempts fail (front-run by competitor or oracle reverts).

Realistic minimums:

  • L2 liquidations: $25k+ working capital
  • L1 small liquidations: $50k+
  • L1 mid-size liquidations: $250k+
  • Headline whale liquidations: $1M+

For chain-specific numbers see MEV Capital Requirements.

Multi-Protocol vs Single-Protocol

Two strategy postures:

Single-protocol specialist: pick Aave V3 only. Master the contract, the oracle path, the liquidation curve. Lower complexity, deeper edge.

Multi-protocol generalist: monitor Aave, Morpho, Compound, Spark, Euler, FraxLend. Higher complexity, wider opportunity surface.

Most successful retail liquidation searchers start single-protocol on a chain (Aave V3 on Base or Arbitrum) and expand once tooling is solid.

Per-Chain Liquidation Volume (Q1 2026)

Chain Liquidation Volume Realistic Searcher Take
Ethereum L1 $2.4B 6–10% (dominated by top firms)
Arbitrum $390M 5–8%
Base $280M 4–7%
Optimism $145M 5–8%
Polygon $95M 6–9%
BNB Chain $310M 5–9%

The "realistic searcher take" column is what an individual operator can capture in their addressable cohort, not the total bonus paid to all searchers combined.

What Goes Wrong

Common liquidation failure modes:

  • Oracle reverts mid-block. Price moves back above threshold before your tx confirms.
  • Front-run by competitor. Common in liquid markets; mitigate with private bundles.
  • Insufficient pool depth for collateral swap. Major problem with long-tail collaterals. Skip positions with collateral in shallow pools.
  • Flash loan provider unavailability. Aave flash loan depth fluctuates; have backups (Balancer, Morpho).
  • Stale calldata. Pre-built calldata for a position that's been partially repaid mid-block.

Defensive Considerations

Liquidations are protocol-positive — you're closing risky positions and protecting protocol solvency. But:

  • Some borrowers will be retail and will lose meaningfully. The position was their decision; the liquidation isn't predatory.
  • Oracle manipulation to trigger liquidations is illegal in most jurisdictions and morally indefensible.
  • Front-running another liquidator's submitted bundle is normal competition; manipulating oracle data is not.

FRB Agent does not support oracle-manipulation strategies and never will.

FAQ

Are liquidations the same as sandwich attacks?

No. Sandwich attacks extract value from a user's swap. Liquidations close insolvent positions at the protocol's request. Liquidations are encouraged by protocols.

Do I need to know Solidity?

You need to read it. You don't need to write production contracts — FRB Agent ships liquidation calldata builders. But knowing why a liquidationCall reverts requires reading the protocol contract.

What's the typical bonus rate in 2026?

Aave V3: 5–10% depending on collateral. Morpho: 6–12%. Compound v3: 8%. Spark: 5–9%. Higher-risk collaterals carry higher bonuses.

Why don't borrowers self-liquidate to avoid the bonus?

Some do — sophisticated borrowers monitor their own HF and unwind. Most don't, either out of inattention or because they expect the price to recover. Liquidations exist as a service for the long tail.

Can liquidations be done on Solana?

Yes — MarginFi, Kamino, and Solend all have active liquidation markets. The mechanics differ but the playbook is similar. See Solana MEV Strategies.


This article is informational. Liquidation strategies require careful risk and gas management; deploy capital only after thorough simulation. Not financial advice.

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