SOL +132.27% (Directional Strategy Resonance)
In this analysis, I’ll show you how I used a heat map (Z-Score) to identify abnormal limit densities and manage a position with additional buy-ins. We’ll explore entry logic, price reaction to clusters, and how to intelligently leverage an idea without being overly greedy.
Table of content
Pair: SOL/USDT
Risk: Low
Skill Level: Beginner
Entry Reasons
Cluster Chart: After significant market selling (red rectangle), the price entered a small consolidation. Then, heavy buying (green rectangle) appeared, pushing the price upward. This indicates buyer efficiency and signals that the initiative shifted to their side.
Heatmap (Z-Score): A gradual upward shift of buy limit orders is visible — highlighted on the map as abnormal clusters (blue arrows). This dynamic points to signs of a local deficit and the readiness of participants to absorb all market selling.
In the Dashboard
Delta/Volume Balance: Market buy orders clearly dominated — visible in the delta histogram. The balance also continued shifting toward buyers (green rectangle), confirming their activity.
Price Change per Volume Unit: The efficiency of market orders’ impact on price also began to tilt in favor of buyers (black rectangle).
Exit Reasons
Heatmap (Z-Score): Abnormal sell limit clusters appeared above (blue rectangle), partially absorbing market buys. In such conditions, locking in gains without greed is rational: the pronounced sell walls held the price and may signal a potential decline.
Position Management
This trade delivered a solid result. During the holding period, additional scaling-in was done, strengthening the overall position and allowing more effective execution of the trading idea.
Result:
The position was closed with a profit of +132.27%.
Conclusion
This trade shows how combining cluster charts, heatmaps, and Dashboard data helps identify high-potential points. After significant selling, the appearance of heavy buying and active buy-side limit orders indicated buyer interest and local deficit formation. This formed the basis for the long setup.
On exit, the key factor was abnormal sell-side limit clusters above, which partially absorbed market buys. This signaled reduced buyer effectiveness, making profit-taking the rational choice.
This example highlights the value of integrated analysis: combining cluster charts, delta, Z-Score, and position management allows timely evaluation of market balance and efficient execution of trading ideas.
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