QuarkMing202

QuarkMing202

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How to view DeFi project data?

When it comes to DeFi data, many people's first reaction is "What is the TVL?" and "What is the annualized return?" However, these indicators alone do not determine whether a project is reliable. To truly understand a DeFi project, we need to focus on three key indicators: how much is locked, how much is earned, and how active the users are. These correspond to asset security, profitability, and user activity.

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1. How much is locked? — This reflects asset security and trustworthiness#

Why is this important?

TVL (Total Value Locked) is the most direct data for judging how much trust a protocol has from users. The larger the pool, the more people have invested real money into it; fluctuations may indicate unstable funds or hidden issues.

What data should we look at?

Total TVL: Like the amount of deposits in a bank, how large is the protocol's "pool"?

Asset structure: Is it primarily stablecoins (USDC, DAI), blue-chip assets (BTC, ETH), or "homegrown tokens"?

On-chain distribution: Is it concentrated on a single chain, or is it multi-chain?

Growth trend: Is the TVL steadily increasing, or is it experiencing spikes and drops?

What tools can we use?

DeFiLlama: The most comprehensive TVL data, supports detailed views by chain and project.

Token Terminal: Combines revenue and user data to better assess the "value" of locked assets.

Project official website & GitHub: Check the locking mechanism, is it pure staking, bilateral pools, or synthetic asset models?

A reminder:

A higher TVL is not always better; it should be considered alongside the asset structure and volatility. Only projects with a healthy funding structure and stable growth are truly worth paying attention to.

2. How much is earned? — This reflects the profitability model and sustainability#

Why is this important?

A good DeFi protocol should not rely on airdrops to "burn money for growth," but should be able to generate profits and share them with users, creating a positive business loop.

What data should we look at?

Protocol Revenue: How much has been earned from fees, liquidations, and transactions?

User Revenue: Are users and LPs making profits or losses? Is the structure of subsidies and actual earnings reasonable?

Cost proportion: Who takes the largest share, the protocol, LPs, or stakers?

Token economic model: Does revenue support token value? For example, through burning, dividends, or staking rewards.

What tools can we use?

Token Terminal: Overview of financial data, P/F (Price/Revenue ratio) can also be viewed.

Dune Analytics: Search "project name + revenue" to find community-created dashboards.

Project Docs & whitepapers: Understand how it makes money and the distribution logic.

Judgment tips:

A protocol's reliability hinges on whether it can survive without subsidies. Projects that rely on incentives for survival may collapse once the incentives stop.

3. How active are users? — This reflects user activity and risk situation#

Why is this important?

High TVL does not equal high activity. Some may be one-time institutional injections; high activity does not equal safety. A protocol that has not been audited and is frequently attacked by flash loans can be risky, regardless of user numbers.

What data should we look at?

Active user count (DAU/MAU): Are there "real users" using it, rather than zombie addresses completing tasks?

Number of transactions: High interaction frequency indicates that real use cases exist.

Contract audit status: Has it been audited by a reputable agency? Has it been attacked before?

Historical risk events: Have there been liquidation incidents, flash loan attacks, or reentrancy vulnerabilities?

What tools can we use?

DappRadar: Check user numbers and transaction activity.

DefiSafety / Certik / Code4rena: Audit status ratings.

Dune Analytics: Investigate liquidation records and risk events.

Rekt.news: Attack event tracking and incident analysis.

A small tip:

A sudden spike in user numbers without a corresponding increase in revenue is likely "airdrop volume manipulation," rather than healthy growth.

In summary: How to interpret DeFi data? Remember these three keywords:#

Locked: Look at the TVL structure and trend, whether the assets are "real" and if the project is stable.

Earned: Check if the protocol has sustainable revenue and whether the profit-sharing logic is reasonable.

Sustainable: Assess the real user usage and risk resilience, whether it has "long-distance running capability."

Next time you encounter a DeFi project, you can use this approach to make a general judgment. I will update the tools used in the community later, thank you.

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