What information can be mined from sector rotation data? 🤔☝🏻

Step 1️⃣: Spontaneously cut the time period into three message dimensions—short, medium, and long (red vertical lines). The time dimension indicates the performance of the sector in that time period. Usually 90 days is considered the average cycle of the entire sector rotation, so we can understand the performance of each sector in different time periods from long to short.

Step 2️⃣: Observe the performance changes of each sector from long to short. If sector rotation is taking place, you can have two ideas - a. Use a follow-up strategy, focus on the recent strong sectors (green and long) and select strong currencies from them to operate with the trend, b. Use an ambush strategy to capture weak tokens in strong sectors or strong tokens in sectors that have not yet performed.

💡As shown on the dotted line, the #CEX plate is obviously stronger, followed by #Depin #game and so on.

Step 3️⃣: Add potential tokens to the watch list, which can be further combined with other blave.org data to assist operations, such as using chip concentration to observe chip changes to find chip conditions that are conducive to your operation direction.

Therefore, in addition to the strong centralized exchange sector, the gaming sector has begun to show signs of bullishness, such as #bigtime $ACE $PIXEL , etc. Keep paying attention!

Data Source:blave.org

#bitcoinhalving