The recent fall of DOGE is quite interesting.

I looked at the latest liquidation data and found a quite extreme phenomenon: at the moment the price hit the bottom, the liquidation volume of short positions was actually 160 times that of long positions. This ratio is quite rare, indicating that a large number of shorts were caught in a trap at the lowest point.

What is the current state of the market? I have整理了几个观察点:

First, let's talk about the degree of cleansing. Most of the long positions that should have been cut have basically been cleared out, making the market relatively clean. This often means that the selling pressure is reduced, and at least in the short term, there won't be too many trapped positions that could lead to a sell-off.

Looking at the bears again. The scale of short positions liquidated within an hour is 160 times that of the long positions. These liquidated short orders directly turn into buying pressure— you know, a short squeeze is essentially forced buying to close positions. This "unexpected" buying pressure may become a catalyst for a price rebound.

In terms of price, it is currently hovering around 0.135, very close to the previous liquidation zone. If you want to participate, the risk-reward ratio is indeed not bad.

Here are a few reference coordinates for operation:
- The current price range of 0.135-0.136 can be considered for a tentative position.
- If it falls back to 0.133-0.134, this position can increase the position size, as it is closer to the support zone.
- The stop-loss suggestion is set at 0.1305. If this level is broken, it indicates that the logic has failed, and one should admit the mistake.
- The target level is short-term 0.145, and mid-term can be 0.149.

Such extreme differentiation in liquidation data is uncommon, but do not be blindly optimistic. Data is just one reference dimension; what truly determines the trend is the overall market sentiment and capital flow. Manage your positions well, and don't go all in.

The market is always like this; opportunities often hide during times of panic, but the prerequisite is that you must understand what the data is saying.