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Types of Stablecoins: A Complete Guide for 2025

Discover the types of stablecoins—fiat-backed, crypto-backed, algorithmic, and commodity-based. Learn how they work, their pros and cons, and which is best for your crypto strategy in 2025.
Token Metrics Team
8 min
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The cryptocurrency market is famous for volatility—Bitcoin can swing by thousands of dollars in a day, and altcoins can rise or crash in hours. But what if you need price stability? That’s where stablecoins come in.

Stablecoins are digital currencies pegged to stable assets like the US dollar, gold, or even algorithmically maintained price levels. They bridge the gap between the speed and efficiency of blockchain technology and the reliability of traditional money.

As of 2025, stablecoins account for over $140 billion in circulating supply, making them essential for traders, investors, and decentralized finance (DeFi) users. But not all stablecoins are the same—different types use different mechanisms to maintain their stability, each with unique pros and cons.

In this guide, we’ll break down the types of stablecoins, how they work, their risks, and which might be best for your needs.

What Are Stablecoins?

A stablecoin is a cryptocurrency designed to maintain a stable value by pegging its price to a reference asset. Most stablecoins are pegged to fiat currencies like the U.S. dollar (e.g., 1 USDT ≈ $1), but some track commodities (like gold) or are algorithmically balanced to hold value.

They are widely used for:

  • Trading: Moving quickly in and out of volatile assets.
  • DeFi: Providing liquidity, borrowing, and earning yields.
  • Remittances: Sending low-cost, fast cross-border payments.
  • Hedging: Protecting against crypto market volatility.

Types of Stablecoins

There are four main types of stablecoins:

  1. Fiat‑Collateralized Stablecoins
  2. Crypto‑Collateralized Stablecoins
  3. Algorithmic (Non‑Collateralized) Stablecoins
  4. Commodity‑Backed Stablecoins

Each has a different method of maintaining its peg. Let’s break them down.

1. Fiat‑Collateralized Stablecoins

Definition:
These are backed 1:1 by traditional currencies like the U.S. dollar, euro, or yen. For every stablecoin issued, an equivalent amount of fiat is held in reserve by a trusted custodian.

How They Work:
If you buy 1 USDC, Circle (its issuer) holds $1 in a regulated bank account or short-term U.S. Treasury securities. When you redeem that stablecoin, the issuer sends you the equivalent amount in fiat and burns the coin.

Examples:

  • Tether (USDT) – Largest stablecoin by market cap; widely used on exchanges.
  • USD Coin (USDC) – Issued by Circle, fully regulated and audited.
  • TrueUSD (TUSD) – Offers real-time attestation of reserves.
  • PayPal USD (PYUSD) – Launched by PayPal for payments and DeFi.

Pros:

  • High stability – Pegged directly to fiat.
  • Transparent – Many provide audits and attestations.
  • Easy adoption – Ideal for traders, merchants, and payment platforms.

Cons:

  • Centralization – Custodians control reserves and can freeze accounts.
  • Regulatory risks – Subject to government oversight.
  • Less transparency for some issuers – (e.g., Tether faced scrutiny over its reserves).

2. Crypto‑Collateralized Stablecoins

Definition:
These are backed by cryptocurrencies like Ethereum or Bitcoin instead of fiat. Because crypto is volatile, these stablecoins are overcollateralized (e.g., $150 in ETH backs $100 in stablecoins).

How They Work:
When you mint a crypto-backed stablecoin like DAI, you deposit collateral (e.g., ETH) into a smart contract. If the collateral value drops too much, the contract automatically liquidates some assets to maintain the peg.

Examples:

  • DAI – Issued by MakerDAO, backed by ETH, USDC, and other assets.


  • sUSD – A synthetic USD issued by Synthetix.
  • MIM (Magic Internet Money) – Collateralized by multiple crypto assets.

Pros:

  • Decentralized – No single company controls reserves.
  • Transparent – All collateral balances are viewable on-chain.
  • Resistant to censorship – Issuers can’t freeze accounts.

Cons:

  • Volatility risk – Collateral can lose value quickly, requiring liquidations.
  • Overcollateralization – Ties up more capital than fiat-backed options.
  • Complexity – Requires understanding of DeFi mechanics.

3. Algorithmic (Non‑Collateralized) Stablecoins

Definition:
These don’t use physical reserves. Instead, they maintain their peg via algorithmic supply adjustments—minting or burning tokens to balance price around $1.

How They Work:
If demand increases and the price rises above $1, the protocol mints more coins. If it falls below $1, the protocol burns coins or incentivizes users to buy them back.

Examples:

  • Ampleforth (AMPL) – Elastic supply adjusts daily.
  • UST (TerraUSD) – Infamously collapsed in 2022 after its peg broke.
  • Frax (FRAX) – Uses a hybrid model: partly collateralized, partly algorithmic.

Pros:

  • Highly capital-efficient – Doesn’t require large reserves.
  • Decentralized – Often governed by smart contracts and DAOs.

Cons:

  • Peg instability – Prone to “death spirals” when market confidence drops.
  • Complex mechanisms – Harder for average users to understand.
  • History of failures – UST/LUNA crash eroded trust in algorithmic coins.

4. Commodity‑Backed Stablecoins

Definition:
These stablecoins are pegged to commodities like gold, silver, or oil, giving them intrinsic value beyond fiat.

How They Work:
For every coin issued, an equivalent amount of the commodity is held in a secure vault. For example, owning 1 PAX Gold (PAXG) means you own 1 troy ounce of physical gold stored by the issuer.

Examples:

  • PAX Gold (PAXG) – Backed by physical gold.


  • Tether Gold (XAUT) – Gold-backed token from Tether.
  • Digix Gold (DGX) – Pegged to gold bars in Singapore vaults.

Pros:

  • Hedge against inflation – Commodities like gold retain value during economic uncertainty.
  • Diversification – Offers exposure to both crypto and commodities.

Cons:

  • Low liquidity – Less widely used than fiat-backed stablecoins.
  • Storage & audit challenges – Requires trust in the issuer to maintain reserves.

Why Do Stablecoins Matter?

Stablecoins are the backbone of DeFi and crypto trading.

  • Trading & arbitrage: They provide a quick way to exit volatile positions without converting back to fiat.
  • Cross-border payments: Cheaper and faster than SWIFT or remittance services.
  • DeFi participation: Essential for lending, borrowing, yield farming, and liquidity pools.
  • On-ramp/off-ramp: They simplify converting between traditional finance and blockchain.

Which Type of Stablecoin Should You Use?

If you want simplicity & security: Go with fiat-backed coins like USDC or PYUSD.

If you value decentralization: Choose crypto-collateralized options like DAI.

If you’re comfortable with high risk: Explore algorithmic models like FRAX (but beware of peg risks).

If you want inflation protection: Consider commodity-backed coins like PAXG.

Key Risks of Stablecoins

  • Regulation: Governments are increasing oversight of fiat-backed coins.
  • Centralization: Some issuers can freeze funds or blacklist wallets.
  • Smart contract risks: DeFi-based stablecoins can suffer from bugs or exploits.
  • Peg breaks: Algorithmic models are especially vulnerable to confidence loss.

The Future of Stablecoins

In 2025, stablecoins are evolving to meet regulatory and market demands:

  • Central Bank Digital Currencies (CBDCs): Governments are issuing digital dollars and euros, potentially competing with stablecoins.
  • Regulated issuers: Projects like USDC are working closely with regulators to ensure compliance.
  • Hybrid models: Combining fiat and algorithmic elements (e.g., Frax) to enhance stability.

As DeFi expands and global adoption grows, stablecoins will remain at the heart of crypto finance.

Final Thoughts

Stablecoins are more than just “digital dollars.” They’re a critical bridge between traditional finance and blockchain innovation.

  • Fiat-backed stablecoins bring stability and ease of use.
  • Crypto-collateralized ones offer transparency and decentralization.
  • Algorithmic models push innovation but carry higher risks.
  • Commodity-backed coins provide a hedge against inflation and diversify exposure.

Choosing the right type depends on your risk tolerance, use case, and trust level. Whether for trading, saving, or participating in DeFi, understanding the types of stablecoins can help you navigate the crypto ecosystem with confidence.

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About Token Metrics
Token Metrics: AI-powered crypto research and ratings platform. We help investors make smarter decisions with unbiased Token Metrics Ratings, on-chain analytics, and editor-curated “Top 10” guides. Our platform distills thousands of data points into clear scores, trends, and alerts you can act on.
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Feature                                                   Token Metrics API                                    CoinGecko API

Real-time + historical OHLCV              ✅                                                          ✅

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Exchange Aggregation                         ✅ (Used in indices, not exposed)     ✅

Sentiment & Social Scoring                  ✅ NLP-driven                                     ❌

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                                                                        endpoint

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If you're building something analytics-heavy—especially trading or AI-driven—Token Metrics gives you depth, not just breadth.

Verdict: CoinGecko wins on broad metadata coverage. Token Metrics wins on intelligence and strategic utility.

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Token Metrics API Includes:

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CoinGecko:

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📊 Monitoring, Quotas & Support

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Token Metrics Free Tier:

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  • 1 request/min
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Sentiment Analytics            ❌                               ✅

Sector Index Insights          ❌                               ✅

NLP Token Summaries       ❌                                ✅

Developer SDKs                  ❌                                ✅

Token-Based Discounts     ❌                                ✅ (up to 35% with $TMAI)

For what you pay, Token Metrics delivers quant models and intelligent signal streams — not just raw price.

Winner: Token Metrics — Cheaper entry, deeper value.

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🔗 Ready to Build Smarter?

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If you’re a Python developer looking to build smarter crypto apps, bots, or dashboards, you need two things: reliable data and AI-powered insights. The Token Metrics API gives you both. In this tutorial, we’ll show you how to quickly get started using Token Metrics as your Python crypto price API, including how to authenticate, install the SDK, and run your first request in minutes.

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🚀 Quick Setup for Developers in a Hurry

Install the official Token Metrics Python SDK:

pip install tokenmetrics

Or if you prefer working with requests directly, no problem. We’ll show both methods below.

🔑 Step 1: Generate Your API Key

Before anything else, you’ll need a Token Metrics account.

  1. Go to app.tokenmetrics.com/en/api
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  3. Click Generate API Key
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  5. Copy it immediately — keep it secret.

You can monitor usage, rate limits, and quotas right from the dashboard. Track each key’s status, last used date, and revoke access at any time.

📈 Step 2: Retrieve Crypto Prices in Python

Here’s a simple example to fetch the latest price data for Ethereum (ETH):

import requests

API_KEY = "YOUR_API_KEY"

headers = {"x-api-key": API_KEY}

url = "https://api.tokenmetrics.com/v2/daily-ohlcv?symbol=ETH&startDate=<YYYY-MM-DD>&endDate=<YYYY-MM-DD>"

response = requests.get(url, headers=headers)

data = response.json()

for candle in data['data']:

    print(f"Date: {candle['DATE']} | Close: ${candle['CLOSE']}")

You now have a working python crypto price API pipeline. Customize startDate or endDate to get specific range of historical data.

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grade_url = "https://api.tokenmetrics.com/v2/trader-grades?symbol=ETH&limit=30d"

grades = requests.get(grade_url, headers=headers).json()['data']

for day in grades:

    print(f"{day['DATE']} — Trader Grade: {day['TA_GRADE']}")

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grades_df = pd.DataFrame(grades)

combined_df = pd.merge(ohlcv_df, grades_df, on="DATE")

print(combined_df.head())

Now you can run simulations, build analytics dashboards, or train your own models.

⚙️ Endpoint Coverage for Python Devs

  • /daily-ohlcv: Historical price data
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  • /trading-signals: Bullish/Bearish signals for short and long positions.
  • /sentiment: AI-modeled sentiment scores
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All endpoints return structured JSON and can be queried via requests, axios, or any modern client.

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✅ Real-time & historical data
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✅ Free plan to start building today

Start building today → tokenmetrics.com/api

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If you're a trader, data analyst, or crypto enthusiast, chances are you've wanted to pull live crypto data directly into Google Sheets. Whether you're tracking prices, building custom dashboards, or backtesting strategies, having real-time data at your fingertips can give you an edge.

In this guide, we'll show you how to integrate the Token Metrics API — a powerful crypto API with free access to AI-powered signals — directly into Google Sheets in under 5 minutes using Google Apps Script.

📌 Why Use Google Sheets for Crypto Data?

Google Sheets is a flexible, cloud-based spreadsheet that:

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When combined with the Token Metrics API, it becomes a powerful dashboard that updates live with Trader Grades, Bull/Bear Signals, historical OHLCV data, and more.

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The Token Metrics API provides real-time and historical crypto data powered by AI. It includes:

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  • Bull/Bear Signal: A binary signal showing market direction
  • OHLCV: Open-High-Low-Close-Volume price history
  • Token Metadata: Symbol, name, category, market cap, and more

The best part? The free Basic Plan includes:

  • 5,000 API calls/month
  • Access to core endpoints
  • Hourly data refresh
  • No credit card required

👉 Sign up for free here

🛠️ What You’ll Need

  • A free Token Metrics API key
  • A Google account
  • Basic familiarity with Google Sheets

⚙️ How to Connect Token Metrics API to Google Sheets

Here’s how to get live AI-powered crypto data into Sheets using Google Apps Script.

🔑 Step 1: Generate Your API Key

  1. Visit: https://app.tokenmetrics.com/en/api
  2. Click “Generate API Key”
  3. Copy it — you’ll use this in the script

📄 Step 2: Create a New Google Sheet

  1. Go to Google Sheets
  2. Create a new spreadsheet
  3. Click Extensions > Apps Script

💻 Step 3: Paste This Apps Script

const TOKEN_METRICS_API_KEY = 'YOUR_API_KEY_HERE';

async function getTraderGrade(symbol) {

  const url = `https://api.tokenmetrics.com/v2/trader-grades?symbol=${symbol.toUpperCase()}`;

  const options = {

    method: 'GET',

    contentType: 'application/json',

    headers: {

      'accept': 'application/json',

      'x-api-key': TOKEN_METRICS_API_KEY,

    },

    muteHttpExceptions: true

  };

  

  const response = UrlFetchApp.fetch(url, options);

  const data = JSON.parse(response.getContentText() || "{}")

  

  if (data.success && data.data.length) {

    const coin = data.data[0];

    return [

      coin.TOKEN_NAME,

      coin.TOKEN_SYMBOL,

      coin.TA_GRADE,

      coin.DATE

    ];

  } else {

    return ['No data', '-', '-', '-'];

  }

}

async function getSheetData() {

  const sheet = SpreadsheetApp.getActiveSpreadsheet().getActiveSheet();

  const symbols = sheet.getRange('A2:A').getValues().flat().filter(Boolean);

  const results = [];

  results.push(['Name', 'Symbol', 'Trader Grade', 'Date']);

  for (const symbol of symbols) {

    if (symbol) {

      const row = await getTraderGrade(symbol);

      results.push(row);

    }

  }

  sheet.getRange(2, 2, results.length, results[0].length).setValues(results);

}

🧪 Step 4: Run the Script

  1. Replace 'YOUR_API_KEY_HERE' with your real API key.
  2. Save the project as TokenMetricsCryptoAPI.
  3. In your sheet, enter a list of symbols (e.g., BTC, ETH, SOL) in Column A.
  4. Go to the script editor and run getSheetData() from the dropdown menu.

Note: The first time, Google will ask for permission to access the script.

✅ Step 5: View Your Live Data

After the script runs, you’ll see:

  • Coin name and symbol
  • Trader Grade (0–100)
  • Timestamp

You can now:

  • Sort by Trader Grade
  • Add charts and pivot tables
  • Schedule automatic updates with triggers (e.g., every hour)

🧠 Why Token Metrics API Is Ideal for Google Sheets Users

Unlike basic price APIs, Token Metrics offers AI-driven metrics that help you:

  • Anticipate price action before it happens
  • Build signal-based dashboards or alerts
  • Validate strategies against historical signals
  • Keep your data fresh with hourly updates

And all of this starts for free.

🏗️ Next Steps: Expand Your Sheet

Here’s what else you can build:

  • A portfolio tracker that pulls your top coins’ grades
  • A sentiment dashboard using historical OHLCV
  • A custom screener that filters coins by Trader Grade > 80
  • A Telegram alert system triggered by Sheets + Apps Script + Webhooks

You can also upgrade to the Advanced Plan to unlock 21 endpoints including:

  • Investor Grades
  • Smart Indices
  • Sentiment Metrics
  • Quantitative AI reports
  • 60x API speed

🔐 Security Tip

Never share your API key in a public Google Sheet. Use script-level access and keep the sheet private unless required.

🧩 How-To Schema Markup (for SEO)

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  "@context": "https://schema.org",

  "@type": "HowTo",

  "name": "Crypto API to Google Sheets in 5 Minutes",

  "description": "Learn how to connect the Token Metrics crypto API to Google Sheets using Google Apps Script and get real-time AI-powered signals and prices.",

  "totalTime": "PT5M",

  "supply": [

    {

      "@type": "HowToSupply",

      "name": "Google Sheets"

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      "name": "Token Metrics API Key"

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  ],

  "step": [

    {

      "@type": "HowToStep",

      "name": "Get Your API Key",

      "text": "Sign up at Token Metrics and generate your API key from the API dashboard."

    },

    {

      "@type": "HowToStep",

      "name": "Create a New Google Sheet",

      "text": "Open a new sheet and list crypto symbols in column A."

    },

    {

      "@type": "HowToStep",

      "name": "Add Apps Script",

      "text": "Go to Extensions > Apps Script and paste the provided code, replacing your API key."

    },

    {

      "@type": "HowToStep",

      "name": "Run the Script",

      "text": "Execute the getSheetData function to pull data into the sheet."

    }

  ]

}

✍️ Final Thoughts

If you're serious about crypto trading or app development, integrating live market signals into your workflow can be a game-changer. With the Token Metrics API, you can get institutional-grade AI signals — right inside Google Sheets.

This setup is simple, fast, and completely free to start. Try it today and unlock a smarter way to trade and build in crypto.

👉 Get Your API Key & Start for Free

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