On-Chain Analysis Tools

1. Glassnode Training

Website: Glassnode.com

Glassnode is one of the leading platforms for on-chain data analysis. It provides comprehensive information about blockchain networks, investor behavior, and cryptocurrency market conditions. The platform helps analysts look beyond price charts and examine actual network activity and changes in investor behavior.

In this course, you will first become familiar with the Glassnode interface and its main features. You will then learn how to search for on-chain charts, select different indicators, and analyze Bitcoin and Ethereum data across various timeframes.

Key topics include analyzing Active Addresses, Transfer Volume, Exchange Balance, and the behavior of short-term and long-term holders.

You will also learn about important on-chain indicators, including:

• MVRV: Measures the ratio between market value and realized value, helping evaluate the overall profit and loss position of investors.

• NUPL: Measures unrealized profits and losses across the cryptocurrency market.

• SOPR: Analyzes whether transferred coins are moving at a profit or a loss.

• Realized Price: Estimates the average acquisition price of assets based on their last movement on the blockchain.

• HODL Waves: Analyzes the distribution of Bitcoin supply according to how long coins have remained unmoved.

The goal of this course is to teach you how to use Glassnode data to understand investor behavior, examine market cycles, and identify potential changes in market conditions.

2. CryptoQuant Training

Website: CryptoQuant.com

CryptoQuant is a powerful on-chain analytics platform that provides detailed information about cryptocurrency exchange inflows and outflows, miner activity, asset reserves, and investor behavior. It helps analysts monitor capital movements and identify important changes in market activity.

In this course, you will become familiar with the CryptoQuant interface and learn how to use its charts and indicators. You will discover how to monitor Bitcoin and Ethereum inflows into exchanges, track asset withdrawals, and compare exchange reserves across different timeframes.

One of the platform's main applications is analyzing large investors' behavior and monitoring asset transfers to exchanges. For example, an increase in exchange inflows may indicate that more assets are becoming available for potential selling. However, this does not necessarily mean that selling pressure will increase.

Throughout this course, you will learn about the following indicators:

• Exchange Inflow: Measures the amount of cryptocurrency transferred into exchanges.

• Exchange Outflow: Measures the amount of cryptocurrency withdrawn from exchanges.

• Exchange Reserve: Shows the amount of cryptocurrency held in wallets associated with exchanges.

• Exchange Whale Ratio: Measures the proportion of large transactions within total exchange inflows.

• Miner Reserve: Tracks the amount of cryptocurrency held in wallets associated with miners.

• Funding Rate: Examines the funding payments in perpetual futures markets and helps evaluate traders' positioning.

You will also learn how to analyze multiple indicators together, compare on-chain data with price charts, and use CryptoQuant as a complementary tool for market analysis.

3. Arkham Training

Website: Arkhamintelligence.com

Arkham is a specialized blockchain intelligence platform designed to analyze wallet addresses, identify important blockchain entities, and track cryptocurrency movements. One of its main features is the ability to associate certain blockchain addresses with individuals, companies, exchanges, investment funds, and other entities active in the cryptocurrency market.

In this course, you will learn how to search for important wallet addresses using Arkham, examine their transaction histories, and track the movement of digital assets.

One of the platform's most useful features is Visualizer, which displays connections between wallet addresses and asset transfers through interactive visual diagrams. This allows you to understand where assets originate, where they are transferred, and how different wallet addresses may be connected.

Key topics covered in this course include:

• Searching for and identifying important wallet addresses.

• Examining the assets and balances of large wallets.

• Tracking whale transactions and large investor activity.

• Monitoring asset transfers between exchanges and private wallets.

• Identifying potential connections between different wallet addresses.

• Using Visualizer to examine capital movement and transaction paths.

• Creating alerts to monitor specific wallet addresses and transactions.

By the end of this course, you will be able to monitor the activity of major market participants and gain valuable insights into cryptocurrency capital flows by examining their transactions.

Please note that wallet labels are not always definitive, and the real owners of many blockchain addresses cannot be identified with certainty.

4. Etherscan Training

Website: Etherscan.io

Etherscan is one of the most important blockchain explorers for the Ethereum network. It allows users to access and examine information recorded directly on the blockchain, including transactions, wallet addresses, smart contracts, token transfers, and network activity.

In this course, you will learn how to search for transactions using their Transaction Hash and examine important details such as sender and receiver addresses, transferred amounts, transaction timestamps, and network fees.

You will also learn how to check wallet balances, review ERC-20 token transfer histories, and examine smart contract activity.

Important topics covered in this section include:

• Transaction Details: Examining complete information about transactions recorded on the blockchain.

• Address Tracker: Viewing wallet balances and transaction histories.

• Token Tracker: Examining token information, holder counts, and transaction activity.

• Contract Verification: Understanding how smart contract source code can be verified and examined.

• Gas Tracker: Monitoring transaction fees and network congestion.

• ERC-20 Transfers: Tracking transfers of tokens based on the ERC-20 standard.

You will also learn how to use Etherscan to verify transactions, investigate suspicious transfers, examine smart contract activity, and extract useful information for on-chain analysis.

5. Blockchain Transaction and Wallet Tracking

Recommended Websites: Blockchair, Mempool.space, and Blockscan.com

Transaction and wallet tracking is one of the most important skills in on-chain analysis. Since blockchain transactions are permanently recorded on their respective networks, it is possible to examine asset movements and follow transactions between different wallet addresses.

In this course, you will become familiar with different blockchain tracking tools and learn how to extract wallet information, examine transaction histories, and follow cryptocurrency transfers from their original addresses to their destinations.

For example, Blockchair allows users to search and examine data across multiple blockchain networks. Mempool.space is a specialized tool for monitoring Bitcoin transactions, confirmation status, transaction fees, and network activity.

Key topics covered in this course include:

• Finding and examining wallet addresses across different blockchain networks.

• Viewing the complete transaction history of a wallet.

• Tracking Bitcoin and Ethereum transfers between different addresses.

• Identifying large and unusual transactions.

• Monitoring cryptocurrency inflows and outflows from exchanges.

• Following asset transfers across multiple wallet addresses.

• Identifying potential connections between different wallets.

• Using blockchain explorers to extract transaction data.

The goal of this course is to improve your ability to track cryptocurrency movements and analyze the behavior of active wallets in the digital asset market.

6. Bitcoin and Ethereum On-Chain Data Analysis

Recommended Websites: Bitcoin Visuals, Glassnode Studio, and CryptoQuant

Bitcoin and Ethereum are two of the most important blockchain networks in the cryptocurrency market. Analyzing the data recorded on these networks provides valuable insights into user activity, network conditions, capital flows, and investor behavior.

In this course, you will learn how to extract and analyze Bitcoin and Ethereum on-chain data and use different indicators to better understand market conditions. You will also explore the differences between these two networks and understand why certain on-chain indicators have different applications for Bitcoin and Ethereum.

The main topics covered in this section include:

• Active Addresses: Examining the number of active wallet addresses and measuring user participation across the network.

• Transaction Count: Analyzing the number of recorded transactions and changes in network activity.

• Transfer Volume: Measuring the amount of cryptocurrency transferred across the network.

• Whale Activity: Monitoring large wallet activity and identifying high-volume transactions.

• Exchange Flows: Analyzing cryptocurrency inflows and outflows from exchanges.

• Holder Behavior: Examining the behavior of short-term and long-term holders.

• Network Fees: Monitoring transaction fees and demand for network usage.

• Hash Rate: Analyzing Bitcoin's computational power and changes in mining activity.

• Ethereum Gas Usage: Examining gas consumption and user activity on the Ethereum network.

• Supply Distribution: Analyzing how cryptocurrency supply is distributed across different wallet addresses and monitoring balance changes.

During the practical part of this course, you will learn how to examine multiple indicators across different timeframes, compare their movements with price charts, and better understand the relationship between blockchain activity and market behavior.

You will also learn how to combine Bitcoin and Ethereum on-chain data to gain a broader perspective on cryptocurrency market conditions, changes in network activity, and overall capital movements.

Disclaimer: On-chain analysis is a tool for examining blockchain activity and understanding investor behavior. No single indicator or dataset can predict future price movements with certainty. All content in this section is provided for educational purposes only and does not constitute financial advice or a recommendation to buy or sell any cryptocurrency.