In the past few days, the discussion on Twitter about "steak farm" has intensified, and I continue to share a few of my views along with the last tweet:
1. Whether it is narrative trading or address mining, the core purpose is to make a profit, if you want to prove that your methodology is effective, the most convincing is always the real market record + operation logic, just like secondary trading, no matter how long the analyst is, it can only be regarded as "for reference only", and the trader's view that can continue to be profitable after the market test is really valuable. Talk is cheap, show me the wallet.
2. I respect everyone's right to share, but I don't agree with the large-scale disclosure of the so-called "dealer cluster address", the main reason is that as mentioned in the previous tweet, this kind of information is reflexive, when it is understood by most people, it has become invalid information in itself, and it cannot play any role. The so-called banker refers to the project party with the ability to control the chips, the dealer is also to make money rather than do charity, the logic of retail investors buying is to pick up the car to eat the increase, if there are more pickpockets, it is bound to increase the difficulty of pulling the market, which in itself contradicts the purpose of the steakhouse?
3. Recently, "Grill Village" is so popular, in the final analysis, it is because the liquidity on the chain is not as good as before, and everyone who has experienced AI Meta in November last year knows that at that time, any hackathon project issued coins, it could be migrated from the internal disk and bought 10M, almost one per day, and the overall quality is good, and it can rush to 30-50M in a few hours, how can there be time to listen to your grunting address analysis. At present, those that can reach this height purely by narrative, such as Gork and Ani, appear frequently about once a week, and most high-cap tokens have traces of control, which naturally promotes the market's research on "grilling".
4. I have always had a point of view, that is, the process of collecting monitoring addresses is best done by yourself, rather than using ready-made ones directly. Because every smart money has its own style, some are fast in and out, some seize early opportunities, some see it and take heavy positions, and some ambush potential coins, if you don't understand the operating habits of these addresses, just blindly follow, it is difficult to have good results. I use address monitoring as a source of information, through monitoring to know a certain coin, and then understand the narrative myself and decide whether to buy or not.
Playing on-chain Meme, I personally think there are two main methodologies, one is narrative trading, and the other is address mining, the former focuses on the smell and sensitivity of the market, and the latter focuses on careful study and analysis of data.
Not only do they not conflict, but they often need to be used in combination. They also correspond to the two driving forces required for the rise of tokens, namely the joint force of the market and retail investors, and the pull of bookmakers and whales.
Narrative trading, the focus is on what kind of story the token tells, whether it can resonate with the market, and how far a token can go based on the background of the event, innovation, popularity, etc.
For example, $Ani and $Gork are narratives spawned by Musk's new products, which are both influential and interesting, and are easy to spread; $Trump, $Pnut, are contributed by major political-related events; Last year's AI hackathon market paid attention to Dev resume and industry status; $Neiro, $Pochita is a derivative of the Dogecoin concept; $Fartcoin, $Useless emphasizes crypto nihilism.
When the market sentiment is good, retail investors are highly motivated, and there is a lot of liquidity, the narrative itself can give birth to Meme coins with a market value of tens of M or even higher, and when the market is bad, it is necessary to rely on the market maker to control the market and attract attention through the increase, typical of which is the recent $Aura, which has been pulled from a state of almost zero to 230M in a few days.
To catch this type of banker, the most suitable way is to dig the address, analyze whether there are clusters of pull addresses and their intentions, or find clues through the previously accumulated address library. The disadvantage of this method is that it is very time-consuming, because the pull address is often changed frequently, and the second is that even if traces are seen, once the bottom chips are not firmly controlled, the dealer can choose to abandon the market, and the initiative is completely in the hands of others.
Whether it is a big KOL on Twitter or a car on the chain, most of them are mainly narrative transactions, this is not because the address mining is not good, in the final analysis, it is because it is reflexive, once a certain pull address is shared, and more and more people know, it means that the resistance to pull is getting bigger and bigger, resulting in abandonment or changing addresses. In contrast, address mining is a technical activity that is only suitable for small-scale sharing, while narrative transactions need to reach as many people as possible, after all, consensus is the core of the narrative.
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