Most traders rely on technical analysis, which focuses on price charts and indicators, or fundamental analysis, which examines macroeconomic data and news.

On-chain analysis offers a different approach.

While I personally enjoy wearing chains as fashion accessories and “analyzing” them in the mirror, this kind of chain analysis has nothing to do with my jewelry collection!

Toshi Welcome

Bitcoin operates on a decentralized public ledger known as the blockchain, which records every transaction ever made with the cryptocurrency. This transparent and immutable record of data allows anyone to track and analyze the actual movement of bitcoins across the Bitcoin network.

By studying this data, you can uncover insights into market trends, investor sentiment, and network activity that are not visible through traditional methods.

This process of examining blockchain data to extract meaningful information is called on-chain analysis.

🧠 What Is On-Chain Analysis?

On-chain analysis (also called blockchain analytics) is the practice of examining blockchain data to understand the behavior of participants within a cryptocurrency network.

It lets you see what’s happening in real-time by tracking:

  • Transactions (money moving between wallets)
  • Wallet balances (how much crypto people are holding)
  • Network activity (how busy the blockchain is)

This helps you understand what other investors are actually doing…not just what they’re saying!

Think of on-chain analysis as being a detective: you look at the “public ledger” (the blockchain) to see how BTC is moving between wallets, how active users are, and whether big investors (often called “whales”) are buying or selling.

Detective Toshi

At its core, on-chain analysis involves scrutinizing blockchain data to understand the activities within a cryptocurrency network.

This transparency is unique to cryptocurrencies and offers a level of insight not available in traditional finance (TradFi)!

On-chain analysis studies real crypto transactions to show what people are actually doing right now on the blockchain: where money moves, who’s holding, and how the network is being used. Traders and investors use these insights to make better crypto trading decisions.

📊 What Are On-Chain Metrics?

On-chain metrics are quantifiable data points derived from blockchain activity.

These metrics help quantify activity, sentiment, and trends within the Bitcoin network. Examples include the number of active addresses, transaction volume, supply distribution, and hash rate.

On-chain metrics are valuable because they are factual and verifiable; anyone can access this data using blockchain explorers or analytics platforms.

They provide a data-driven approach to understanding the crypto market.

🎛️ How It’s Different From Traditional Market Analysis

As mentioned earlier, on-chain analysis is like being a detective who examines blockchain data to understand what’s really happening with a cryptocurrency.

Instead of just looking at price movements, you’re looking at actual transactions, addresses, and activity directly from the blockchain itself.

Traditional market analysis focuses on assets like stocks, commodities, and fiat currencies. It relies on two primary methods:

  • Technical Analysis: Studying price charts, patterns, and trading volume.
  • Fundamental Analysis: Evaluating company performance, earnings, macroeconomic trends, and news.

On-chain analysis is different because:

  • It uses blockchain data: You’re examining actual transactions happening on the network.
  • It’s transparent: Anyone can verify the data since blockchains are public.
  • It’s unique to crypto: These metrics don’t exist for traditional investments like stocks.

✨Why On-Chain Analysis Can Be Valuable

On-chain analysis gives you insights that you simply can’t get from price charts alone:

  1. Network health: You can see how many people are actually using the network.
  2. Price movements and cycles: Patterns of rising and falling bitcoin prices, often influenced by events like ETF approvals, regulatory changes, or macroeconomic shifts.
  3. Trading volume and liquidity: Changes in how much bitcoin is being traded can signal increased investor interest or caution.
  4. Investor behavior: Track how long people are holding their coins or if large investors (“whales”) are buying or selling.
  5. Adoption and participation: Trends in the number of active addresses, transaction counts, or institutional involvement can reveal growing or waning interest in the ecosystem.
  6. Market sentiment: Analysis of transaction flows and on-chain activity can help infer whether investors are optimistic (bullish) or pessimistic (bearish) about Bitcoin’s future.
  7. Ownership distribution: Understand who owns the cryptocurrency and how concentrated ownership is.
  8. Early warning signs: Spot potential issues before they affect price.

As you can see, on-chain analysis gives crypto traders unique visibility into network and transaction activity in real time, while traditional market analysis is often limited to price action and reported data by government agencies or private companies.

The transparency and granularity of on-chain data create new opportunities (and challenges) for understanding and predicting market behavior that don’t exist in legacy finance.

What makes on-chain analysis special is that some metrics can signal impending price moves before price changes occur.

🔑 Basic On-Chain Metrics for Bitcoin

Here are some of the basic on-chain metrics you’ll encounter:

Market Capitalization: The total value of all bitcoins in circulation, reflecting the overall size of the market.

BTC Market Cap

Realized Capitalization: Calculates Bitcoin’s value based only on coins that have actually moved, providing a more realistic market valuation than traditional market capitalization.

Bitcoin Realized Cap

Realized Price: The average price people paid when they last bought or moved their bitcoin. Think of it as showing what the typical bitcoin owner paid for their coins.

Bitcoin Realized Price

Active Addresses: The number of unique wallet addresses that send or receive BTC within a set period. This indicates how many people are actively using the network.

BTC Active Addresses

Addresses Holding > X BTC by Year: Tracks the yearly growth of Bitcoin holders across three groups: addresses containing at least 0.01 BTC (small holders), at least 0.1 BTC (medium holders), and at least 1 BTC (large holders).

BM Pro - Addresses Holding X BTC

Transaction Volume: The total number of all Bitcoin transactions over a certain timeframe. High volume suggests strong network activity and interest.

BTC Transaction Count

Hash Rate: Measures the total computational power securing the Bitcoin network. A higher hash rate means more security and confidence in the network.

BTC Hash Rate

Exchange Flows: Tracks how much bitcoin is moving into or out of exchanges. Large inflows can signal selling pressure, while outflows may indicate accumulation.

BTC Exchange Flows

🛠️ Tools for On-Chain Analysis

You don’t need to be a technical expert to begin using on-chain analysis. Many user-friendly tools have emerged that present this data in easy-to-understand dashboards, giving even beginners access to powerful insights that were once only available to advanced traders.

Several platforms offer tools and dashboards for on-chain analysis:

  • Glassnode: Provides comprehensive on-chain data and metrics.
  • CryptoQuant: Offers real-time data on exchange flows, miner activity, and more.
  • Santiment: Combines on-chain, social, and development information for analysis.
  • Nansen: Offers a user-friendly interface that allows users to surface insights from blockchain data without needing to write code.

⛓️ What’s Next in Your On-Chain Journey

Many on-chain metrics exist because blockchain data is rich and accessible, but not all metrics provide meaningful insights.

Some metrics lack statistical significance or historical correlation with market behavior, while others may be too noisy or easily manipulated. The most valuable on-chain metrics typically demonstrate consistent relationships with price action, network health, or user behavior over time.

The challenge for new crypto traders is distinguishing between metrics that offer actual predictive power and those that simply appear interesting but lack practical utility.

In the following lessons, we’ll explore the more useful on-chain metrics, such as SOPR, NUPL, and exchange flows, giving you tools to identify market bottoms, tops, and everything in between.

These metrics, when used together, provide a multidimensional view of Bitcoin’s blockchain activity that can significantly enhance your market analysis capabilities.