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In the multi-chain era, one of the most frustrating issues for users is the fragmentation of gas tokens — each chain requires different gas tokens, and frequent switching is neither convenient nor does it lower the usage threshold. The universal gas mechanism of UX allows users to pay transaction fees directly with any token without the need to hold multiple gas tokens, with automatic conversion and settlement handled in the background. With the explosive growth of universal account numbers, the demand for $PARTI is also continuously rising. Considering its total supply is only 1 billion tokens and is fixed with no increase, the current circulation is only 233 million tokens, and subsequent releases are bound to ecological milestones, laying a foundation for its long-term value.
Binance Square is surpassing Kaito to become the absolute center of next-generation traffic distribution
Kaito has recently faced immense public pressure, and its crisis management is in disarray, while Binance Square is becoming increasingly popular, prompting me to quickly join the exploration.
Binance Square relies on the liquidity advantages of the Cosmic Institute; as long as we get it going, Kaito simply cannot stop us.
Not shorting Kaito is already showing great restraint, and I have joined a new fast track.
If you are as scarred as I am from p on sol, selling will take off while buying will drown you. You might want to pay more attention to the opportunities on #eth #base .
Secondary Opportunities: Since sbet has been continuously buying eth loudly and has become the largest holder of eth today (surpassing the original eth foundation), it should have been recognized that something was off. Personally, I have taken large long positions around 2500, 2900, and 3000 in eth, and the secondary needs to be eaten up. Going forward, with the major trend confirmed, buy on the dip, and be careful not to be tricked by false breaks and back-and-forth av (like last night and early this morning).
Primary Opportunities: The primary of e and base is completely different from sol; the primary ecosystem of e is stable in rhythm and has more suitable targets for long holding, very wheelchair-like. The primary opportunities in eth are plentiful, with kek, sbet, booe, imf, etc. all being slow cook targets suitable for ambushing long holds. Of course, the positions are relatively high now, but looking at the sideways movements, there should still be opportunities.
Additionally, the ecosystem I am familiar with, #VIRTUAL , also has opportunities. In the last couple of days, mamo has surged past 170m, and everyone should have seen the story of tripling in two weeks. I think this is also a great example of the interaction between virtual and base. As the current hope for base and even the entire ai ecosystem, virtual still has great potential to run out large targets of tens of millions, like AXR, which I am very optimistic about. It is an automated ai investment fund where you can put your money in and let the ai agent help you make money without worrying about anything. I tested it last week for three days and saw a terrifying +20% return.
This round of e is really different, e guardians assemble! Welcome to contact each other on Twitter for exchange~
In essence, the vast majority of AI agent projects that issued tokens were rushing ahead. These tokens can be seen as a quantitative representation of market and RWA (real world attention) expectations for the project's future under those conditions. However, due to the market's emotional fervor and the extreme concentration of RWA, the delivery capabilities of these projects have been greatly overlooked. Looking back to January, the market automatically formed a valuation path: Oh, this is a framework project, so it benchmarks AI16Z; Oh, this is a defai project, so it benchmarks xxx, and so on. As long as there is a somewhat decent official website, and if there are real-name devs and a GitHub repo with good star/fork performance, it basically starts with a market cap of several million. Plus, at the beginning of the year, a bunch of star projects graduated from the Solana hackathon. I remember a teacher made a table of all the hackathon projects, opened a scraper, and monitored to directly buy CA to fully capture the profits.
The purpose of $TRUMP is very clear: to exchange the real money of retail investors for $BTC and other Chuanbao Yanxuan. In fact, Chuanbao Yanxuan is the one that benefits, and the tier 1 of Chuanbao Yanxuan is $ETH {spot}(TRUMPUSDT)
The purpose of $TRUMP is very clear: to exchange the real money of retail investors for $BTC and other Chuanbao Yanxuan. In fact, Chuanbao Yanxuan is the one that benefits, and the tier 1 of Chuanbao Yanxuan is $ETH
Extending from @_kaitoai, let's briefly talk about the web3 data layer.
I have seen a lot of content about @_kaitoai these past few days, and I would like to share some of my thoughts as well.
I believe there are several key issues that data layer products need to address. One is extracting information from data and even abstracting insights, and the other is realizing individual data sovereignty. The former is a topic where a leading product will definitely emerge in this round of AI meta, while the latter is one of the problems that the data layer needs to solve from the very beginning.
Kaito is essentially a data layer product that transforms data from Twitter into actionable sentiment data delivered to project parties. It evaluates social media content through AI and further abstracts the data through mindshare (if I remember correctly, this term was also popularized by Kaito). These are all responses to the first question.
As for the second question, it is often referred to as "yap" these days. Due to the evaluation system behind Kaito's yap, yap essentially incentivizes high-quality data producers, and the ownership of data and the return of data value are well reflected in Kaito's yap.
When extending to AI and AI agent-related projects, we can see many data layer products following their own paths: for example, @oceanprotocol (decentralized data trading market), @lumolabsdotai (data layer + model layer), @cookiedotfun focusing on sentiment data and token-related data, @modenetwork exploring AI data enhancement through synthetic data, and so on. These are all products worth paying attention to.
I am a little expert in swing trading. Thanks to $TRUMP for sending $buzz funds for increasing my position. Please rest assured!
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If you missed $TRUMP or made a big profit on $TRUMP , what should you do?
Buy AI concept coins with strong rebound. I have observed that $anon $buzz $moby have made some profits from Trump. Hot spots are hot spots. Stay rational and protect profits.
For anon and buzz, please check my homepage for detailed investment research content.