Future copycat layout ideas, 2+4 narrative line and operational details

2 4 The main narrative line and operational details of the copycat.

“2”: Refers to Bitcoin ecology and AI as the main line of operation. Combined with the external investment market, the former is digital gold in turbulent times and an important reservoir of the US dollar. The latter is an important pillar in continuing the US technological revolution. The US dollar narrative transformation of gold-oil-technology (computing power) will be in the next The stage seems to be inseparable from the continuation of Ai, and Bitcoin and computing power are closely related. These two sectors are the masters of bubbles. If there is a big drop on the left, buying is a good choice. The positive premium of these two sectors The effect will be very obvious.

1. The three main sections of the Bitcoin ecosystem are Inscription (BRC 20) or the following Runes, BTC L2 and some Bitcoin-related ecological coins.

a. Inscription, we must first consider ORDI. In addition, MUBI has also been very active recently, with the average trading volume remaining at more than 50% of the market value;

b.BTC L2, There are not many projects coming out, and the new MERL, which is a star project, is basically in the wait-and-see period; the other is the transformation of some old coins related to the Bitcoin ecosystem, such as STX;

c. Coins related to the Bitcoin ecosystem, including There are quite a lot of Laozhuang coins, such as QTUM and REN. As for new coins, there are also CORE, which was very popular some time ago, and the recently launched full-chain projects, ZETA and so on.

2. The Ai ecology is actually divided into three categories: one is artificial intelligence (which will not be subdivided further), the other is big data, and some of the transformation of the Ai public chain through AI Old projects, such as NEAR, AR and THETA. If you go to Coingecko to search for categories, some of Depin’s projects will sometimes be included, but in fact Depin and AI are quite close. One is more focused on computing power and the other is more application-focused.

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