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Stablecoin Types Explained: Backed vs Crypto-Collateralised vs Algorithmic

By Kieran Buckley — Founder & Educator at My Crypto Guide
Stablecoin types explained backed vs crypto collateralised vs algorithmic
Not all stablecoins are built the same — and the structure determines the risk.

All stablecoins aim to stay close to $1. But how they attempt to maintain that stability is very different.

Understanding the structure behind each design helps you understand where the real risk actually sits.


1. Fiat-Backed Stablecoins

Fiat-backed stablecoins are supported by traditional assets such as U.S. dollars or short-term government bonds held in reserve.

In theory, for every $1 stablecoin issued, there should be roughly $1 of assets backing it.

These are simple to understand. The peg is maintained through redemption — large holders can exchange stablecoins for real dollars, which keeps the market price anchored close to $1.

Where the risk sits:

  • Counterparty risk (trusting the issuer)
  • Banking risk (where reserves are held)
  • Regulatory risk

The stability depends on trust in traditional finance.


2. Crypto-Collateralised Stablecoins

These stablecoins are backed by other cryptocurrencies locked in smart contracts.

Because crypto is volatile, these systems often require over-collateralisation. For example, $150 worth of crypto may secure $100 of stablecoins.

The peg is maintained through automatic liquidation mechanisms. If collateral value drops too far, positions are liquidated to protect the system.

Where the risk sits:

  • Crypto market crashes
  • Smart contract bugs
  • Liquidity stress during volatility

Here, the risk shifts from banks to market volatility.

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3. Algorithmic Stablecoins

Algorithmic stablecoins attempt to maintain stability without hard backing.

Instead of reserves, they use supply-and-demand mechanics. If price rises above $1, more coins are created. If price falls below $1, supply is reduced.

This system relies heavily on market confidence.

Where the risk sits:

  • Confidence collapse
  • Reflexive supply spirals
  • Liquidity vanishing under stress

What Happens When Things Break?

Algorithmic Example (Terra 2022):

When confidence dropped and redemptions surged, the stabilisation mechanism accelerated the collapse instead of stopping it. The system entered a death spiral and failed completely.

Fiat-Backed Example (USDC 2023):

When a U.S. bank holding part of USDC’s reserves collapsed, the stablecoin briefly traded below $1. Once clarity returned, it recovered. The system was stressed — but not destroyed.

These examples highlight an important point: stability is conditional, not guaranteed.


How to Evaluate a Stablecoin

Instead of asking “Which one is safest?”, ask:

  • Where is the backing held?
  • Who controls issuance and redemption?
  • What happens during a liquidity crisis?
  • What breaks first if confidence drops?

Different users will prioritise different trade-offs.


Wrap-Up

Stablecoins may look identical at $1 — but their foundations are very different.

Fiat-backed models rely on traditional finance. Crypto-collateralised systems rely on market mechanisms. Algorithmic designs rely heavily on confidence.

Understanding structure is more important than chasing yield.

To continue learning, explore the Stablecoins Education Hub .

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