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algorithmic-stablecoins-failures-and-future
Blog

Why Algorithmic Stablecoins Failed as Money But Might Succeed as Derivatives

Algorithmic stablecoins catastrophically failed as primary money due to inherent reflexivity. Their true utility is as capital-efficient, synthetic derivatives for tracking yield or asset baskets within DeFi.

introduction
THE DERIVATIVE PIVOT

Introduction

Algorithmic stablecoins failed as money due to flawed monetary policy but are finding product-market fit as structured derivatives.

Algorithmic stablecoins failed as money because they attempted to replicate central bank policy without the sovereign power to enforce it. Protocols like Terra/Luna and Frax v1 proved that on-chain seigniorage and reflexive collateral are unstable under stress, creating death spirals instead of reliable pegs.

The core flaw was monetary, not technical. A stablecoin is a liability, not an asset. Without real-world revenue or exogenous collateral (like USDC), the system's stability depends purely on perpetual growth faith, a Ponzi-like structure that inevitably collapses.

The successful pivot is to derivatives. Projects like Ethena's USDe and Mountain Protocol's USDM explicitly frame themselves as delta-neutral synthetic dollars. They are structured products built on perpetual futures funding rates and Treasury bills, not pretend currencies.

This reframes the value proposition. As a derivative, the goal is capital efficiency and yield, not daily transactions. The risk shifts from 'will it break peg' to 'can the hedge hold', a quantifiable engineering problem familiar to TradFi.

key-insights
FROM COLLATERAL TO CONTRACTS

Executive Summary

Algorithmic stablecoins failed as money due to flawed monetary assumptions, but their core mechanics are finding product-market fit as on-chain derivatives.

01

The Problem: Money Demands Absolute Stability

Money is a coordination tool; its primary function is a stable unit of account. UST, IRON Finance, and Basis Cash collapsed because their reflexive, circular collateral logic couldn't withstand a death spiral during market stress. The $40B+ UST implosion proved that algorithmic 'stable' assets are unsuitable for payments and savings.

$40B+
UST Implosion
0
Surviving Pure-Algo Stables
02

The Solution: Rebrand as Volatile Yield Derivatives

The same mechanisms—minting/burning tokens against volatile collateral—are perfectly suited for structured products. Projects like Ethena's USDe (synthetic dollar) and Lybra Finance's eUSD (LSD-backed) succeed by being transparent yield-bearing derivatives, not pretending to be risk-free cash. Their value proposition is leveraged staking returns, not price stability.

~30%
APY (Ethena)
$2B+
TVL in 'Synthetics'
03

The New Model: Collateralized Debt Positions 2.0

Modern 'algostables' are just CDPs with extra steps. They use Liquid Staking Tokens (LSTs) like stETH or real-world assets as collateral, generating yield to subsidize the peg. The peg is a target, not a promise. This aligns with MakerDAO's Endgame Plan and Aave's GHO, framing stability as a function of yield and arbitrage, not faith.

LSTs/RWA
Collateral Backing
CDP 2.0
Core Mechanism
04

The Killer App: On-Chain Perpetual Futures

The real utility is as a funding rate arb instrument in DeFi. Synthetic dollars like USDe are the natural quote asset for perp exchanges (DyDx, Hyperliquid, Aevo), creating a closed-loop system where yield funds stability. This is a derivative hedging derivative, a viable niche that doesn't require mass adoption as money.

Perp DEXs
Primary Utility
Closed-Loop
Yield System
05

The Risk: Systemic Contagion & Oracle Failure

These systems concentrate risk. They create tightly coupled dependencies on LST yields, CEX custody (for delta-hedging like Ethena), and price oracles. A major depeg or oracle attack could cascade through integrated DeFi protocols (Curve, Aave, EigenLayer), replicating traditional finance's synthetic CDO failures on-chain.

High
Systemic Risk
Oracle
Critical Dependency
06

The Verdict: Niche Tool, Not Global Money

Algorithmic stablecoins will not replace USDC. They will succeed as high-yield, high-risk derivatives for sophisticated DeFi users, providing leveraged exposure to crypto-native yields. Their evolution mirrors traditional finance: from failed currency experiments (Liberty Reserve) to successful structured products (total return swaps).

Derivatives
Product Category
DeFi Degens
Target User
thesis-statement
THE FLAWED PREMISE

The Core Thesis: Money vs. Instrument

Algorithmic stablecoins failed as money because they conflated a price target with a fundamental backing asset, but they succeed as derivatives by explicitly embracing their synthetic nature.

Algorithmic stablecoins failed as money because they promised a stable unit of account and store of value without the requisite collateral or demand stability of Tether (USDT) or USD Coin (USDC). Their peg relied on reflexive, game-theoretic mechanisms that collapsed under stress, as seen with TerraUSD (UST) and its death spiral.

They succeed as derivatives when marketed as synthetic dollar instruments, not money. Protocols like Abracadabra's MIM or Ethena's USDe are transparently overcollateralized or delta-hedged synthetic assets. This reframes user expectation from 'permanent peg' to 'efficiently engineered financial instrument'.

The market demands this distinction. A derivative's value is its utility within a specific DeFi system (e.g., collateral on Aave, liquidity on Curve), not its universal acceptance. This aligns with the success of Liquity's LUSD, a resilient but floating stable asset designed explicitly as a borrowing tool, not global cash.

ALGORITHMIC STABLECOINS

Anatomy of Failure vs. New Models

A comparison of the flawed 'money' model that led to collapses like TerraUSD and the emerging 'derivative' model for on-chain yield and structured products.

Core Feature / MetricFailed Money Model (e.g., TerraUSD)Derivative Model (e.g., Ethena, Lybra)Hybrid / Overcollateralized (e.g., DAI, LUSD)

Primary Peg Mechanism

Seigniorage & Arbitrage Loops

Delta-Neutral Derivatives (e.g., Perp Funding)

Excess On-Chain Collateral (e.g., ETH, LSTs)

Collateral Backing

Algorithmic (Zero to Minimal)

Off-Chain Assets (e.g., US Treasuries via Custodian)

On-Chain Assets (>100% Collateral Ratio)

Key Failure Mode

Death Spiral (Reflexive Redemption)

Counterparty/Custodial Risk, Basis Risk

Collateral Devaluation (Liquidation Cascades)

Primary Use Case

Medium of Exchange / Payments

Yield-Generating Savings Asset

Decentralized Stablecoin for DeFi

Typical APY (Current)

N/A (Collapsed)

15-30% (from stETH yield + funding)

3-8% (from collateral yield)

Centralization Vector

Governance (Minting/Burning)

Centralized Custodian & Exchange

Governance (Collateral Parameters)

On-Chain Finality

Exposure to TradFi Yields

deep-dive
THE RE-FRAMING

The Derivative Pivot: Synthesizing Yield & Baskets

Algorithmic stablecoins failed as money due to reflexivity but succeed as derivatives by isolating yield and volatility.

Algorithmic stablecoins failed as money because their reflexive collateral loops create death spirals. The core design flaw is a circular dependency: demand for the stablecoin directly supports its collateral value, which collapses when demand falls. This is a structural failure of the monetary feedback mechanism, not a failure of the underlying synthetic asset concept.

The pivot is to derivatives. Framing these assets as volatility or yield derivatives changes the risk profile. Protocols like Ethena's USDe and Mountain Protocol's USDM are not money; they are synthetic dollar positions that package staking yield and funding rates. Their value proposition is explicit yield, not price stability.

This isolates the failure mode. A derivative can trade at a discount without systemic collapse because its peg is not a promise. The risk is transferred to the holder, not the protocol's solvency. This is the model of Lyra Finance for options or Synthetix for synthetic assets, applied to yield-bearing dollar instruments.

Evidence: Ethena's $2B TVL. The rapid growth of Ethena's USDe demonstrates market demand for a synthetic dollar derivative that captures stETH yield and perpetual swap funding. Its success is measured by synthetic yield generation, not by perfect peg maintenance, which redefines the success metric for the entire category.

risk-analysis
FROM MONEY TO DERIVATIVES

The New Risk Profile: Not Death Spirals, But Basis Risk & Custody

Algorithmic stablecoins failed as money due to reflexive feedback loops. Their new thesis is as non-custodial, capital-efficient derivatives, trading death spirals for manageable financial engineering risks.

01

The Problem: Reflexivity Killed Money-Like Stability

Protocols like Terra/Luna and Iron Finance collapsed because their peg was backed by a volatile governance token. This created a reflexive death spiral: price drop → mint/sell pressure → further price drop. The $40B+ UST collapse proved this model is fundamentally unstable for transactional money.

$40B+
UST Collapse
~3 days
Death Spiral Duration
02

The Solution: Rebase Tokens as Perpetual Swaps

New-gen algo-stables like Ethena's USDe and Maker's PureDai act as synthetic derivatives. Their value is derived from staked ETH yield and short futures positions, not a volatile backstop. The risk shifts from a death spiral to basis risk (yield vs. funding rate mismatch) and custody risk of collateral (e.g., CEX futures).

  • Capital Efficiency: ~20-30x leverage via perpetual futures.
  • Yield Source: Captures staking yield + funding rates.
20-30x
Capital Leverage
$2B+
USDe TVL
03

The New Risk Stack: Custody & Oracle Reliance

The failure mode is no longer internal reflexivity, but external infrastructure failure. This requires a new risk assessment framework.

  • Custody Risk: Reliance on centralized entities like Binance, Bybit for collateral and futures positions.
  • Oracle Risk: Peg stability depends on accurate price feeds for delta-hedging.
  • Protocol Risk: Smart contract bugs in complex derivative logic (e.g., SNX, Lyra).
>90%
CEX-Dependent Collateral
~$100M
Oracle Attack Surface
04

MakerDAO: The Pivot to a Derivatives Vault

Maker's Endgame Plan and PureDai initiative exemplify the shift. Dai is transitioning from an overcollateralized loan primitive to a yield-bearing derivative vault. It bundles Real-World Assets (RWA) yield with crypto-native strategies, explicitly accepting basis and custody risk in exchange for scalable, yield-generating 'stable' assets.

  • RWA Exposure: $3B+ in treasury bills.
  • Explicit Risk: Users opt into specific collateral baskets.
$3B+
RWA Exposure
Multi-Basket
Risk Segmentation
future-outlook
THE DERIVATIVE PRIMITIVE

Future Outlook: The On-Chain Structured Product Layer

Algorithmic stablecoins failed as money but will succeed as the foundational primitive for on-chain structured products.

Algorithmic stablecoins failed as money because their peg mechanisms required reflexive, faith-based demand. This created a death spiral feedback loop where de-pegging triggered mass redemptions, collapsing the system as seen with Terra/Luna.

They succeed as yield-bearing derivatives when decoupled from payment utility. Protocols like Ethena's USDe treat the stablecoin as a delta-neutral synthetic dollar position, capturing funding rates from perpetual futures on exchanges like Binance and Deribit.

This transforms the stablecoin into a yield token, a core building block for structured products. DeFi protocols like Pendle and Morpho can bundle these yield streams with options or leverage to create custom risk-return profiles for users.

The evidence is in TVL and product design. Ethena's rapid growth to multi-billion dollar TVL demonstrates demand for the primitive, while the proliferation of yield-tranching vaults across DeFi confirms the market for structured yield.

takeaways
THE STABLECOIN EVOLUTION

Key Takeaways

Algorithmic stablecoins failed as money due to flawed monetary policy, but their core mechanism is finding new life as on-chain derivatives infrastructure.

01

The Problem: Money Demands Unbreakable Pegs

UST, IRON, and others collapsed because they tried to be money with a dynamic, incentive-based peg. Money requires absolute stability and risk-free finality, which algorithmic expansion/contraction cannot guarantee under stress.

  • Reflexivity Doom Loop: De-pegs trigger death spirals as collateral value and stablecoin supply collapse together.
  • No Ultimate Redeemer: Unlike fiat-backed (USDC) or overcollateralized (DAI) models, there's no hard asset or claim to halt the spiral.
$40B+
UST Market Cap Lost
3 Days
Typical Death Spiral
02

The Solution: Rebrand as Yield-Bearing Derivatives

Projects like Ethena's USDe and Lybra's eUSD are succeeding by marketing not as money, but as a delta-neutral staking derivative. The "peg" becomes a target yield, with volatility managed by perpetual futures hedges.

  • Explicit Yield: Instability is reframed as a variable yield source (e.g., staking + funding rates).
  • Hedged Backing: Collateral (e.g., stETH) is paired with short perpetual positions to neutralize price risk.
$2B+
USDe TVL
15-30%
APY Target
03

The Infrastructure Play: On-Chain Repo Markets

The true endgame is becoming the primitive for decentralized repo (repurchase agreement) markets. Algorithmic stable assets become the funding currency for leveraged long/short positions across DeFi.

  • Capital Efficiency: Enables native leverage without traditional borrowing/liquidation.
  • Composability: Serves as a stable asset layer for protocols like Aave, Compound, and GMX vaults.
5-10x
Capital Efficiency
Protocol Native
Leverage
04

The New Risk Profile: Basis Trading & Counterparty

Failure modes shift from bank runs to basis risk and CEX counterparty risk. The stability of Ethena's USDe depends on the perpetual futures hedge staying aligned with its stETH collateral.

  • Funding Rate Risk: Negative funding can erode yields or collateral value.
  • Exchange Risk: Hedges are held on centralized exchanges (e.g., Binance, Bybit), creating a central point of failure.
~-50%
Funding Rate Drawdown
CEX Dependent
Key Vulnerability
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Algorithmic Stablecoins: From Failed Money to Yield Derivatives | ChainScore Blog