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history-of-money-and-the-crypto-thesis
Blog

The Hidden Risks of Algorithmic Stablecoins and Elastic Supplies

Algorithmic stablecoins attempt to peg value through automated supply mechanics, but consistently fail under market stress. This analysis dissects the fundamental flaw: the lack of an exogenous anchor, using Terra's UST, Ampleforth, and modern hybrids like Frax and Ethena as case studies.

introduction
THE RECKONING

Introduction

Algorithmic and elastic supply models are not just complex DeFi primitives; they are inherently fragile systems that fail under predictable, real-world conditions.

Algorithmic stability is a myth. These systems rely on reflexive feedback loops between a stablecoin and a volatile governance token, creating a death spiral when confidence wanes. The collapse of Terra's UST and the repeated depegs of ESD/DSD prove the model fails under stress.

Elastic supply is a tax on volatility. Protocols like Ampleforth and Olympus Pro's (OHM) rebase mechanism attempt to stabilize price by algorithmically adjusting token supply. This creates a negative user experience where a holder's token count changes unpredictably, destroying its utility as a unit of account or medium of exchange.

The fundamental flaw is incentive misalignment. These systems require perpetual growth to sustain their peg or treasury. When the growth narrative stalls, as seen with Wonderland (TIME), the only exit for the governance token is downward, breaking the stabilizing mechanism.

Evidence: The $40B collapse of Terra in May 2022 is the canonical case study, but smaller-scale failures are routine. Frax Finance survives only by progressively layering in real-world asset (RWA) collateral, moving away from pure algorithmics.

key-insights
SYSTEMIC FRAGILITY

Executive Summary

Algorithmic and elastic supply assets promise decentralization but introduce novel, often hidden, failure modes that threaten user funds and network stability.

01

The Death Spiral: Reflexivity as a Weapon

The core design flaw: collateral value and token price are reflexively linked. A price drop triggers contractionary supply mechanics, which are perceived as dilution, causing further selling.\n- UST/LUNA collapsed from a $40B+ market cap to near zero in days.\n- Basis Cash, Empty Set Dollar failed in previous cycles, proving the model's historical fragility.

>99%
Collapse Speed
$40B+
Peak TVL Lost
02

The Oracle Problem: Garbage In, Garbage Out

Elastic supply mechanisms are entirely dependent on external price oracles. Manipulating this single data feed can break the entire system.\n- A single-point-of-failure creates a massive attack surface for flash loan exploits.\n- Projects like Frax Finance mitigate this with multi-source oracles and hybrid collateral, but pure algos have no defense.

1
Critical Feed
Minutes
To Drain Reserves
03

The Governance Trap: Code is Not Law

In a crisis, off-chain governance and multisigs often override on-chain logic to 'save' the protocol, destroying the trustless premise.\n- Iron Finance halted redemptions via admin control.\n- This creates counterparty risk identical to traditional finance, negating the key innovation.

100%
Centralized Override
Trust-Based
Final Backstop
04

Solution Path: Hybridization & Isolated Risk

The survivable model combines algorithmic logic with verifiable, exogenous collateral. Risk must be siloed from the core DeFi ecosystem.\n- Frax (FRAX) uses a >90% collateralized ratio with USDC.\n- MakerDAO's EDSR for DAI uses yield, not supply elasticity, to manage peg.\n- Liquity (LUSD) is overcollateralized and immutable, avoiding governance risk.

>90%
Collateral Backing
0
Admin Keys
thesis-statement
THE VULNERABILITY

The Core Thesis: The Exogenous Anchor Problem

Algorithmic stablecoins fail because their value is anchored to an external metric they cannot control.

Exogenous Anchors create reflexive risk. A stablecoin pegged to the price of ETH or a basket of crypto assets inherits the volatility of its collateral. This creates a death spiral feedback loop where price drops trigger liquidations that cause further price drops, as seen with Terra's UST and its LUNA anchor.

Elastic supply tokens are not stable. Projects like Ampleforth and OlympusDAO's OHM attempt stability through rebasing mechanics and protocol-owned liquidity. Their value is anchored to internal protocol metrics, not external fiat, making them volatile assets masquerading as stable stores of value.

The only viable anchor is exogenous demand. True stability requires an off-chain, non-crypto price feed or a deeply liquid, diversified asset pool. MakerDAO's DAI moved from pure ETH collateral to including real-world assets (RWAs) like US Treasury bills to mitigate this exact endogenous risk.

Evidence: The Terra collapse erased over $40B in value. The fundamental flaw was UST's sole reliance on LUNA's market cap for its peg, a purely endogenous and reflexive system with no external stabilization mechanism.

ALGORITHIC STABILITY MECHANISMS

Anatomy of Failure: A Comparative Autopsy

A first-principles breakdown of failed stability mechanisms, comparing their core design flaws, failure modes, and systemic risks.

Critical Design FlawTerra/LUNA-UST (Seigniorage)Frax v1 (Fractional-Algorithmic)Ampleforth (Rebasing Elastic Supply)

Primary Stability Mechanism

Seigniorage arbitrage via LUNA mint/burn

Partial USDC collateral + algorithmic mint/burn

Daily supply rebase targeting $1 CPI-adjusted

Death Spiral Trigger Condition

UST depeg > arbitrage profit spread

Collateral ratio < 100% during bear market

Negative rebase period > 30 days

Reflexivity Feedback Loop

Mint LUNA to absorb UST sell pressure

Sell FXS to buy more collateral

Negative rebase reduces held token quantity

Liquidity Dependency

Anchor Protocol 20% yield (Curve/3Crv)

Curve FRAX/USDC pool > $1B TVL

Uniswap v2 AMPL/ETH pool

Time to Full Collapse from Depeg

< 72 hours

Sustained depeg over 6 months

Cyclical depegs every 12-18 months

Centralized Failure Point

LFG Bitcoin reserve deployment

Reliance on USDC issuer (Circle)

Oracle for CPI-adjusted target price

Post-Mortem Survivor State

UST @ $0.02, LUNA hyperinflation

Frax v2 (fully collateralized)

AMPL @ ~$0.70, ~80% supply contraction

deep-dive
THE MECHANICS

The Death Spiral: Deconstructing the Reflexive Feedback Loop

Algorithmic stablecoins fail when their design creates a self-reinforcing feedback loop between price and collateral.

Reflexivity is the core flaw. A falling token price triggers a protocol's contraction mechanism, which increases sell pressure and accelerates the decline. This creates a death spiral where the system's defense mechanism becomes its primary failure vector.

Elastic supply fails under stress. Protocols like Ampleforth and Empty Set Dollar demonstrated that rebasing supply to target a price peg does not work during a market-wide liquidity crunch. Users flee the volatility, breaking the peg permanently.

Collateral quality dictates survival. The 2022 collapse of Terra's UST proved that an algorithmic stablecoin backed by its own volatile governance token (LUNA) is a circular reference. The system lacked a hard asset anchor to absorb the shock.

Evidence: UST's depeg burned over $40B in market cap in days. The reflexive mint/burn mechanism between UST and LUNA created hyperinflation, rendering the latter worthless.

case-study
WHEN ALGORITHMS FAIL

Case Studies in Elastic Supply

Elastic supply mechanisms promise stability without collateral, but their history is a graveyard of broken pegs and systemic contagion.

01

The Death Spiral: Terra's UST

The canonical failure of a pure algorithmic stablecoin. Its design flaw was a reflexive feedback loop between its governance token LUNA and the stablecoin UST. A loss of confidence triggered a death spiral, erasing ~$40B in market cap in days and causing cross-chain contagion.

  • Reflexivity Risk: Peg defense depended on LUNA's market cap, which collapsed under selling pressure.
  • Contagion Vector: Failure crippled protocols across Anchor, Astroport, and the broader Cosmos ecosystem.
-99.7%
LUNA Collapse
$40B+
Value Evaporated
02

The Governance Capture: Fei Protocol's Rari Hack

FEI was a partially collateralized algorithmic stablecoin using Protocol Controlled Value (PCV). Its fatal vulnerability was not the algorithm, but centralized governance over its massive treasury. The $80M Rari Fuse hack exposed how a single governance exploit could drain the entire backing of the stablecoin.

  • PCV Backfire: Centralized treasury control became a single point of failure.
  • Algorithmic Irrelevance: The peg mechanism was irrelevant when the underlying collateral could be stolen via governance.
$80M
Governance Hack
1 Vote
Single Point of Failure
03

The Oracle Attack: Empty Set Dollar (ESD) & Dynamic Pegs

ESD v2 and similar rebasing stablecoins relied on a TWAP oracle to determine expansion/contraction cycles. This created a predictable, slow-moving price feed that was easily manipulated by traders, leading to chronic peg instability and eventual abandonment.

  • Oracle Lag: ~24-hour TWAP windows allowed front-running of supply changes.
  • Trader vs. Holder Misalignment: Profit-maximizing traders systematically drained value from long-term "coupon" holders.
24h
Manipulable TWAP
~$0.70
Chronic Depeg
04

The Solution Space: Hybrid Models & Isolated Risk

Post-2022, the surviving model is the overcollateralized, isolated elastic asset. Frax Finance's FRAX (fractional-algorithmic) and Maker's upcoming PureDai demonstrate that elasticity must be a supplement to hard collateral, not a replacement.

  • Frax's AMO Framework: Algorithmic Market Operations adjust supply within bounds set by >90% collateral ratio.
  • Maker's Endgame Isolation: PureDai will be a distinct, elastic asset siloed from the core DAI system, containing failure.
>90%
Frax Collateral Ratio
0
Major Hybrid Failures
counter-argument
THE COMPROMISE

Steelman: What About Hybrids and New Models?

Hybrid stablecoins attempt to mitigate risk by combining collateral types, but introduce new systemic complexities.

Hybrids are complexity arbitrage. Models like Frax's fractional-algorithmic design or MakerDAO's multi-collateral DAI replace single points of failure with oracle and governance risk. The system's stability depends on the real-time accuracy of price feeds for a basket of assets, creating a larger attack surface.

Elastic supply tokens fail under stress. Protocols like Ampleforth or OlympusDAO's (3,3) model rely on speculative demand for rebasing. During a downturn, the promised yield becomes a death spiral as sell pressure overwhelms the algorithmic mint/burn mechanism, proven in the 2022 crypto winter.

The peg is a coordination problem. A stablecoin's value is a Schelling point. Hybrids fragment this coordination by asking users to trust a dynamic, opaque collateral mix and a governance process, unlike the simple, verifiable 1:1 backing of USDC or USDT.

Evidence: Frax v2's shift from algorithmic to fully collateralized and MakerDAO's repeated governance crises over collateral types demonstrate that hybrids converge on over-collateralization or centralized assets to maintain trust.

FREQUENTLY ASKED QUESTIONS

Frequently Asked Questions

Common questions about the systemic vulnerabilities and failure modes of algorithmic stablecoins and elastic supply tokens.

The biggest risk is a death spiral triggered by a loss of peg confidence, which can irreversibly collapse the system. This happened to Terra's UST and many others. When the token depegs, arbitrage mechanisms fail, causing a feedback loop of selling that destroys the collateral base.

takeaways
THE DEATH SPIRAL

Architectural Takeaways

Algorithmic and elastic supply systems are not monetary policy; they are complex, reflexive feedback loops vulnerable to predictable failure modes.

01

The Reflexivity Trap

Price and supply become a single variable, creating a positive feedback loop. A price drop triggers a supply contraction, which is perceived as failure, causing further selling. This is a mathematical inevitability under stress, not a bug.

  • Key Risk: Death spiral is the equilibrium state, not an aberration.
  • Key Insight: Requires perpetual, unsustainable demand growth to mask the inherent instability.
>99%
Collapse Rate
Terra, Basis
Case Studies
02

Oracle as Single Point of Failure

Every rebase, mint, or burn is an oracle call. A stale or manipulated price feed doesn't just report wrong data—it executes catastrophic, irreversible monetary policy.

  • Key Risk: Centralized oracle reliance contradicts decentralized money ethos.
  • Key Insight: Attack surface shifts from the stablecoin contract to the Chainlink or Pyth feed, with systemic implications.
~3s
Update Latency
$1B+
Slash Potential
03

The Liquidity Mirage

Deep on-chain liquidity (e.g., on Curve pools) creates a false sense of stability. During a de-peg, this liquidity evaporates as arbitrageurs drain the stable side, transforming the pool into a one-way exit.

  • Key Risk: TVL is not a stability metric; it's an exit liquidity reserve.
  • Key Insight: Requires exogenous, non-incentivized liquidity (e.g., real-world usage) to be robust.
Minutes
Liquidity Drain Time
Amplification > A
Parameter Risk
04

Governance is a Kill Switch

Emergency pauses, parameter changes, and upgradeability are often necessary safeguards. This makes the system fundamentally governance-dependent, contradicting the 'trustless' narrative. A malicious or coerced multisig is a total failure.

  • Key Risk: Admin keys or DAO votes can alter core mechanics at will.
  • Key Insight: Immutability and stability are in direct conflict; you must choose one.
3/5
Typical Multisig
24-72h
DAO Vote Delay
05

Composability = Contagion Vector

When integrated as collateral in Aave or Compound, a de-peg triggers mass liquidations across the ecosystem. The 'stable' asset becomes the primary source of systemic risk, as seen with UST.

  • Key Risk: Failure is not contained; it propagates via money Lego linkages.
  • Key Insight: Risk assessment must be recursive, evaluating the stability of all integrated assets.
10x
Leverage Multiplier
Cascading
Liquidation Risk
06

Solution: Overcollateralization or Bust

The only cryptonative stability model with a decade of proven resilience is excess collateral (e.g., DAI, LUSD). Elastic supplies attempt to optimize away this 'inefficient' capital, which is precisely the capital that absorbs volatility.

  • Key Benefit: Stability via overcollateralization is capital-inefficient but battle-tested.
  • Key Benefit: Removes reflexivity; price is decoupled from supply mechanics.
150%+
Min. Collateral Ratio
$5B+
Survived TVL
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Why Algorithmic Stablecoins Fail: The Elastic Supply Trap | ChainScore Blog