With the prosperity of DeFi, the market of encrypted data analysis is also in the ascendant. A preliminary analysis of a DeFi project has been achieved. After using many analysis tools, the author sorted out five types of DeFi data analysis tools that are relatively easy to use and highly recommended on the market:
Look at DeFi Token data types: CoinGecko & CoinMarketCap
CoinGeckoLaunched by TM Lee and Bobby Ong in April 2014, it is a powerful data analysis tool focusing on popular blockchain data.
Main functions: (1) Track DeFi Token. Tokens are arranged by Market Cap by default, and users can choose other tags, such as Categories. Then query and track indicators such as Price, 1h/24h/7d rise and fall, 24h Volume, Market Cap, etc.
(2) Xiaobai user guide. CoinGecko provides tutorials for beginners, a vocabulary library, news about the crypto market, and more. It can help you get started quickly and follow up the dynamics of the encryption market.
(3) Visualize DeFi Token historical data, including Price, Market Cap and Trading Volume. The data performance of the DeFi Token can be preliminarily judged.
Reasons for recommendation: (1) A DeFi zone has been opened, which allows the use of multiple tags to query Token rankings and real-time information. (2) The collection of data is complete, and 12,523 kinds of DeFi Token data have been collected. (3) There are many derivative functions, such as NFT area, novice teaching area, market information push, etc.
It is not on par with CoinGecko to seize the marketCoinMarketCap. The functions of the two are similar, and the main differences are as follows:
Viewing DeFi revenue data from a traditional financial perspective: Token Terminal
Token Terminal DeFi applications are measured by key indicators of traditional finance and finance, which is more friendly to users who have just entered the encrypted economy from traditional finance. At the same time, the data of the platform is cited more.
Recommended reason:
Recommended reason:
(1) It is more suitable for users with traditional financial background to evaluate project investment, and the threshold for use is not high. (2) The number of DeFi included is relatively complete, with the number exceeding 100. There are many indicators, and there are many choices for data quantification.
(3) The data update is faster, and the data update frequency for the top DeFi projects is 4h.
Look at the TVL data class of DeFi projects: DeFiLlama
DeFiLlamaFocus on tracking and counting DeFi TVL data, and have included more than 800 DeFi projects. View by DEX, Lending, Yield, etc. The specific ranking tags are 1d change, 7d change, 1m change, TVL and MarketCap/TVL.
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DeFiLlama TVL by Categories
One-stop on-chain data platform category: Dune Analytics & Footprint Analytics
Dune Analytics (Dune) and Footprint Analytics (Footprint) are roughly similar in function, and both provide one-stop visual data analysis services. You can focus on the choice.
For beginners, Footprint is recommended. 0 Coding is more universal and does not require SQL skills.
For players with a programming background, Dune is recommended. Real-time raw data requires knowledge of SQL.
Dune AnalyticsIt is four years old and has provided queries on five chain data since its creation in Norway. Allow users to directly extract data and draw various Dashboards with SQL queries. In February 2022, the $69.42 million Series B round of financing closed, and Dune's valuation reached $1 billion.
Reasons for recommendation: (1) Customization: Mastering SQL can query the database of multiple chains, visualize the results, and explore more data analysis of DeFi projects. (2) Community sharing: All queries and data sets are public by default, and users can directly copy other people's Dashboards for reference. Dune also encourages Query contributions.
While Dune is powerful, SQL has a high barrier to entry. Moreover, some Dashboards have errors and are not maintained in time, and the response speed is relatively slow. What can make up for this shortcoming is the Footprint launched by a Singaporean team.
Footprint AnalyticsIn less than 6 months since its establishment, it completed a US$1.5 million seed round of financing led by IOSG Ventures. It mainly depends on the friendly and non-threshold data analysis service it provides.
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The Main Differences Between Footprint & Dune
Tracking and locking large cetaceans: Nansen & Glassnode
NansenThe establishment of DeFi came earlier than the summer of DeFi. In 2019, it provided users with data analysis of wallet transactions on the chain. Even fully paid services are still very popular in the market. The interval between the two rounds of financing A and B is less than six months, and the cumulative financing amount of more than 80 million US dollars is enough to illustrate.
Main functions: The most prominent feature of Nansen is Smart Money, which tags and marks more than 50 million Ethereum wallet addresses and tracks their activities. Naturally, there is no hiding place for whale accounts. In addition, the Token God Mode event can conduct a comprehensive analysis of ERC-20 Token.
Reason for recommendation: Wallet address analysis is very powerful, and the capture of big whales is very fast, suitable for players who invest with big whales. Although the indicators are relatively simple compared to other platforms, it can be irreplaceable to do a good job.
Nansen also has shortcomings, such as expensive fees, the most basic version charges $149/Month. In addition, the application scenarios of tags are relatively weak. Glassnode is also good at dynamic capture of large whales.GlassnodeUnlike Nansen's single point flowering, but multi-dimensional blooming. Not only can you monitor the dynamics of big whales through address analysis, but you can quickly understand market changes. You can also track the dynamics of indicators on ERC20s chains such as BTC and ETH from Glassnode Alerts. In addition, the readability of Glassnode's weekly report is acceptable.
write at the end
write at the end
Ten thousand zhang tall buildings rise from the ground, coiling dragons and crouching tigers, and high mountains. The same is true for encrypted Odaily. Only by thoroughly understanding the basic data can we make a difference. What's more, compared with traditional finance, the encryption market pays more attention to the analysis of news data, so choosing the right tools is critical.
At present, there have been relatively good answers to issues such as Token data, DeFi project revenue and TVL data rankings, and whale dynamic tracking. But there are still many deep data problems without quality solutions. For example, the analysis of the cross-chain business of Binance Smart Chain.
Let us expect the encrypted data analysis platform to open the "involution" mode and create analysis solutions that can solve more future scenarios.
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Footprint Analytics is a one-stop visual blockchain data analysis platform. Footprint assisted in solving the problem of data cleaning and integration on the chain, allowing users to enjoy the zero-threshold blockchain data analysis experience for free. Provide more than a thousand tabulation templates and a drag-and-drop drawing experience, anyone can create their own personalized data chart within 10 seconds, easily gain insight into the data on the chain, and understand the story behind the data.
Footprint Analytics official website: https://www.footprint.network
Discord community: https://discord.gg/3HYaR6USM7
Telegram: https://t.me/joinchat/4-ocuURAr2thODFh
The above content is only a personal opinion, for reference and communication only, and does not constitute investment advice. If there are obvious understanding or data errors, feedback is welcome.
Copyright Notice:
This work is original by the author, please indicate the source for reprinting. Commercial reprinting needs to be authorized by the author, and those who reprint, extract or use other methods without authorization will be investigated for relevant legal responsibilities.
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