An example of a trade where the market continued to rise despite selling pressure.
Analysis of clusters and aggregated data showed that even with a preponderance of selling volumes, the price did not respond with a decline, indicating a shortage and buyer interest. Ultimately, the upward movement amounted to more than 40%, followed by a pullback and position fixing.
Table of content
Pair: LISTA/USDT
Risk: Medium
Skill Level: Beginner
Cluster Chart: During the upward move, large clusters began forming where selling volumes dominated (red rectangle and arrow), but they failed to push the price down. This indicates ongoing buyer interest and clear signs of a local deficit.
In the Dashboard
Delta / Volume Balance: Aggregated data confirmed the cluster observations. Despite significant selling volume across exchanges and pairs, the price did not react with a decline (red rectangle). Moreover, the volume of sales began to decrease, showing weakening seller pressure — reinforcing the long setup hypothesis.
Cluster Chart: The price grew by over 40%, equivalent to roughly three standard moves (black rectangle and arrow). Afterward, a noticeable pullback formed amid continuing sell volumes (red rectangle and arrow). In such conditions, locking in profits is a rational decision, as holding further would carry increased risk.
This trade clearly demonstrates how cluster and aggregated data analysis can help identify moments when the market is ready to move higher despite selling pressure. Large clusters with dominant selling volume that failed to push the price lower indicated a deficit and strong buyer interest — forming the basis for a long entry.
On exit, a 40% price increase followed by a pullback signaled a likely weakening of buyer initiative and increased risk of continuation, making profit-taking the optimal move.
This example highlights the importance of evaluating how volume impacts price — not just its size, but its effect on market reaction.
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