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| yearn.finance 
| #YFI
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| YFI Price: | $5,201 | | Volume: | $19.9 M | | All Time High: | $92,107 | | Market Cap: | $0.2 B |
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| Circulating Supply: | 33,751 |
| Exchanges: | 47
| | Total Supply: | 36,666 |
| Markets: | 57
| | Max Supply: | — |
| Pairs: | 62
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The price of #YFI today is $5,201 USD.
The lowest YFI price for this period was $0, the highest was $5,201, and the current live price for one YFI coin is $5,201.39679.
The all-time high YFI coin price was $92,107.
Use our custom price calculator to see the hypothetical price of YFI with market cap of ETH or other crypto coins. |
The code for yearn.finance is #YFI.
yearn.finance is 4.7 years old. |
The current market capitalization for yearn.finance is $175,552,343.
yearn.finance is ranked #172, by market cap (and other factors). |
The trading volume is large during the past 24 hours for #YFI.
Today's 24-hour trading volume across all exchanges for yearn.finance is $19,940,212. |
The circulating supply of YFI is 33,751 coins, which is 92% of the total coin supply.
A highlight of yearn.finance is it's exceptionally low supply of coins, as this supports higher prices due to supply and demand in the market. |
YFI is well integrated with many pairings with other cryptocurrencies and is listed on at least 47 crypto exchanges.
View #YFI trading pairs and crypto exchanges that currently support #YFI purchase. |
yETH: LSD Lobbying season is now open
yETH gives users a way to hold a basket of various Ethereum Liquid Staking Tokens (LSDs) in a single token. Giving them access to the best yields while spreading their risk across multiple LSDs. We are now opening the bootstrapping phase to launch yETH! — Bootstrapping: Whitelist, Incentives, and Votes - The bootstrapping consists of 3 phases: Whitelisting for LSD protocols, Deposit and Incentives, Voting, — Whitelisting Period for LSD Protocols - During the 3-week whitelisting period, LSD protocols interested in being included in yETH must pay a 1 ETH non-refundable fee, which turns into yield for st-yETH users. After paying the fee, protocols fill out a form with basic screening questions. Yearn reviews responses, but does not evaluate any merit of the LSD protocol beyond just looking for malicious submissions. Join the Whitelist, — Deposit and Incentives - The 2-week deposit phase starts concurrently with the final week of the whitelisting period. During this time, aspiring yETH users can deposit their ETH into the Bootstrapper contract, receiving 1:1 st-yETH tokens in return. The bootstraped st-yETH tokens are locked for 16 weeks. The 2-week incentive phase starts concurrently with the final week of the whitelisting period. st-yETH token holders can now create incentives for other st-yETH holders to vote for or against specific assets to be included in the yETH pool in the next phase. Deposit ETH, ... 
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Permissionless Yearn Vaults
wavey0x.eth on Twitter: "Yearn vaults have always been permissionless to create. With this change, ANYONE can now do the following in a single click:- deploy vault- deploy strategy- register both into Yearns prod registry- auto-populate vault on t.co website... no dev required t.co / Twitter" - Yearn vaults have always been permissionless to create. With this change, ANYONE can now do the following in a single click:- deploy vault- deploy strategy- register both into Yearns prod registry- auto-populate vault on t.co website... no dev required t.co Yearn’s Vault Factory is a new way for anyone to create and register yield-generating yVaults through one simple interface quickly. It automates the deployment processes, making it easier for users to access ready-made yield strategies that can be applied to specific DeFi protocols. The factory allows users to deploy Yearn Vaults rapidly and set up risk-adjusted yield strategies with just a few clicks, plus the deployment process does not require any human involvement! We also refer to these vaults as “permissionless” or “automated” vaults. User Interface: yearn.finance, Ethereum Contract: 0x21b1FC8A52f179757bf555346130bF27c0C2A17A, Documentation: docs.yearn.finance, — How Does the Vault Factory Work? - — Adam Cochran (adamscochran.eth) on Twitter: "43/268Yearn also has started to create automated factories that allow any project to deploy autom...
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yGenius: Chat with Yearn!
I am releasing an experimental preview and code for yGenius: a GPT-powered bot that indexes the Yearn Ecosystem knowledge so you can query it with a universal chat interface. Test yGenius: ygenius.yearn.farm, Frontend Source: github.com, Backend Source: github.com, In this article, I will explain how to connect your own knowledge base to GPT using the gpt_index library and also explore the trade-offs between different indexing methods. The main reason I wanted to build this at Yearn is that we have a lot of knowledge spread around, and I believe LLMs can help provide a unified interface so we can consume and iterate on all written content in our ecosystem.why I think an universal interface is cool to iterate on data we already have — GPT limitations and indexing solution - GPT-3 currently supports about 16,000 characters in one request. This counts for both input and output, and if you want to ask a question that requires many documents for GPT to consume and answer, you will likely hit this limit. Luckily for us, some awesome people are working on a library called gpt_index. This powerful tool allows us to index documents, and this index can be used in conjunction with GPT to enrich queries with relevant information. So I implemented the index and fed it our knowledge: Yearn Blog Articles, Yearn Smart Contracts Code, Yearn Official Documentation, Yearn Discord Support Channel History, All relevant Yearn data we ca...
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Yearn Strategies Case Study: Lido Staked ETH
Last month we published a DeFi risk case-study that used the lens of the Yearn Risk Framework to analyze the risks involved in operating a yield strategy for the DAI Yearn Vault. This article will use similar methods to look at the risks of investing in stETH (Lido Finance Staked ETH) using Yearn vaults and strategies. To guide our journey, we will explore the risks for each layer until we reach the “steCRV yVault” that includes the risk of all parts, following these in order: What is Proof-of-Stake yield?, What is Liquid Staking, Lido Finance, and stETH?, Overview ETH yVault, Overview steCRV, Overview steCRV yVault, One important thing to note: the Yearn Risk Framework will give scores to strategy operation risks, not token-holding risks. So for example a strategy that invests token X in protocol Y will have risk scores tailored for protocol Y, but the risks for holding token X are on the user. By following through with all the above questions, we will be able to understand both the token-holding and operational risks for each step.The Yearn Strategy Descriptions Glossary might help you if you struggle with the DeFi lingo! — Proof of Stake yield and Validators - As of September 15, 2022, Ethereum started using the Proof-of-Stake (PoS) process to validate new transactions added to the blockchain. The previous method, Proof-of-Work (PoW, required “validator nodes” to spend energy to validate transactions. I...
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The many use cases for Large Language Models in tech writing
robot friend helping you from inside a large language model I’ve been exploring GPT-3, a robot made originally to predict the next text in a document, for my daily flows of writing documentation around code, and I wanted to register here the coolest cases for tech writing (yet!): Review text for copy, Review a GIT DIFF, Generate diagrams powered by MermaidJS, Document existing code, Generate complex Markdown structures (ie: Tables), Summarize text, Find alternative words (synonyms, antonyms), I personally don’t care if LLMs (Large Language Models) don’t generate good results 100% of the time. You will have to roll it again and again and experiment with prompts, but for brainstorming and content bootstrapping it is already much better than any other tool we had. Before diving into GPT prompts and use cases a small warning: today the text produced by LLMs is hardly usable in production without any sort of human post-production. I personally use more tools than just GPT, but it has proven to be an ally for my job. My entire flow is open here: — Worms on Twitter: "A thread with all tools I use to make written content and why I use them, featuring:@Grammarly@code and @hackmdioGPT-3 by @OpenAI@excalidraw@StableDiffusion and/or @midjourney@photopeacom🧵 / Twitter" - A thread with all tools I use to make written content and why I use them, featuring:@Grammarly@code and @hackmdioGPT-3 by @OpenAI@excalid...
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The Keys to the Nietzschean Castle
This text is a reduction of 5h audio recordings of 3 classes from Prof. Clóvis de Barros Filho that serve as an introduction to the Nietzchean thoughts and helps you dive into the original books by yourself.Translator Note: Direct quotations to Nietzsche lack source and proper translation, I did what I could with the material I had. If you find any reference to something unreferenced or a better translation to a concept please send it to me so I can improve this text!I did not create any of the ideas and opinions laid here, my objective is to make Prof. Clóvis work more accessible to everyone so anyone can form their own opinions about it. I personally find many parts of Nietzsche’s ideas impressive, but I’ll refrain from giving my opinions and leave the text to speak for itself. This journey identifies what Nietzsche thinks about morals. To do this one needs to dive into many of his books, because, unlike other authors, Nietzsche did not segment his thoughts into clean separate books or chapters. To facilitate the journey in reading his original work, we will learn about key concepts (which Prof. Clóvis calls “keys of the castle”) to understand this author, and also some jargon that is essential to understand the original work. We will explore the following: Nihilism, The Death of Gods, Amor Fati, Will to Truth, Genealogy, Eternal Recurrence, — Disclaimer: Chaos Ahead. — From the formal perspectiv...
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Measuring risk for DeFi yield strategies
If you struggle with the lingo for this article check our Strategy Descriptions Glossary which has most of the terms used here explained. DeFi investments are like the wild west: Learn how to use your gun and ride your horse. Otherwise, you are dead! As yield-generation options across the ecosystem mature, some places are explicitly more dangerous than others. However, as veterans trailed and survived, they left tools for newer adventurers to explore DeFi with and avoid known dangers. Yearn assess DeFi strategy risks by examining each investment strategy for key dimensions. In this article we will break down how retail investors can use some of the same tools that the pros use to measure DeFi risks, showcasing the Yearn DeFi Strategy Risk Score Framework. — Risk Dimensions. — Complexity — How complex it is to enter and exit this strategy investment position fully., Protocol Safety — Overall best practices of the protocol, including devs, audits, security procedures, timelock, etc., TVL Impact — How much is our entire investment portfolio impacted if this strategy fails?, Team Knowledge — A measurement of how many folks in Yearn know about the code and can react in an emergency., Longevity — How long has the strategy been live without an issue since deployment?, Testing Score — How covered by automated tests are the strategy contracts?, Code Review — Quantity and frequen...
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Conjuring images with Stable Diffusion
“medieval book of spells open and glowing, placed on a stone pedestal, magical setting” Steps: 150, Sampler: Euler, CFG scale: 9, Seed: 2670068578, Size: 768x512 Stable Diffusion (SD) is a new open-source tool that allows anyone to generate images using AI pre-trained by the nice folks at Stability.ai. You can use any image you make on it commercially as long as you link to its license. Be aware that some images might not be able to be used because of patents, for example, if you generate an image of Apple’s logo it doesn't mean you can use it as your brand. Technically, stable diffusion describes itself as: “A latent text-to-image diffusion model”: Latent: To work properly SD depends on a large amount of data (space) that was compressed into a lightweight representation (latent space)., Text-to-image: The core functionality of the whole thing, you feed text to it and it will give you back an image (there are plenty of configs tough for how to do this)., Diffusion Model: In AI diffusion is the process of slowly adding random noise to data and then learning to reverse the diffusion process to construct desired data samples from the noise., reverse diffusion process, thanks to jalammar.github.io Very roughly stable diffusion contains a text decoder that knows how to interpret text input and represent it as data for an image generator. You can read more about how this works in this illustrated guide.high-level ...
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yDaemon: one API to unify all yearn data
yDaemon (source) is a yearn REST API that provides a single unified interface to consume all relevant Yearn ecosystem data. The API data updates in near real-time thanks to the many daemons that it spawns in order to check data sources for changes: Yearn Subgraph (main source of historical data), Yearn Meta (static data updated by yearn team, like strategy descriptions), Yearn API (APY computations), Yearn Lens (token prices), Yearn Risk Framework (soon), yDaemon exposes 4 routes for you to work with data: getSupportedChains: lists every valid chainID, getAllVaults: lists information all vaults for a chainID, getVault: lists information for a single vault, getBlacklistedVaults: lists vaults not included in yDaemon API, chainID is a unique number that represents a blockchain, for example Ethereum ID is 1. The main routes to use are getAllVaults and getVault, both work with the same vault object type the only difference is that one route returns information for a list of all vaults and the other returns for a single one. Some of the most important information that these routes are: Vault Data: Address, Symbol, Name, Icon, Version, Creation Date, Last Update., Vault Underlying Token Data: Address, Name, Symbol, Icon., Vault TVL: Total Assets, Total Assets in USD, Value of Token in USD ., Vault APY: Gross APR, Net APY, Performance Fees, Management Fees, APY based on Weekly/Monthly/Lifetime performance, Curve APRs brea...
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Subgraphs explained: Yearning for data
A Subgraph is a service that allows developers and users to query blockchain data using well-known database query languages. In this article, we will explore a Yearn Ethereum Subgraph and learn how to ask it for data (a.k.a. query it). This knowledge is extremely important for web3 developers, but any blockchain user may also leverage information found on public subgraphs for their interests. Luckily for us, today we have services like The Graph which provides a human-friendly interface for communicating with subgraphs and also the entire. It’s worth noting that The Graph is a complex protocol that maintains an ecosystem of incentives for many roles that co-exist to make the infrastructure keep on goingThings you can do at The Graph Before diving into a subgraph let’s be clear about why we need one and what it solves: The blockchain is an ever-growing chain of blocks and each block has a small piece of information inside it, when we need to query for something that needs data from many blocks we need to read through them all and aggregate the data, turns out this can get super complex and hard to maintain (to read more on this search for “Event Sourcing”). We already have solutions to deal with querying data called “Databases“, so the subgraph will maintain a Database that we can query for data in a much more human-friendly way to do it.Overview of what the subgraph solves Now that we know what a subgraph is, l...
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Crypto Coin Prices and News 