NEAR +42.46% (Directional Strategy Resonance)

Reading time: 4 minAuthor: Team Resonance
NEAR +42.46% (Directional Strategy Resonance)

A trade analysis using cluster analysis and delta: how market selling inefficiencies and volume absorption by limit buyers formed the entry point, while the buyers’ declining efficiency became a signal to take profits.

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Coin: NEAR/USDT
Risk: Medium
Level: Beginner

Entry Reasons

Cluster Chart: during the local upward movement, market sell orders dominated for an extended period of time (rectangle 1). After a relatively small pullback, selling pressure became even more pronounced once again, yet the price continued to rise gradually (rectangle 2).

Such a reaction indicates decreasing efficiency of market sell orders: despite the persistent pressure from sellers, the market stopped reacting with further decline and instead began gradually moving upward.

Additionally, attention should be paid to the gradual volatility compression near the upper boundary of the range. Such a structure often indicates local position accumulation and price удержание by limit buy orders even under conditions of aggressive market selling.

Taken together, this points to the preservation of signs of a local deficit and weakening seller initiative.

Cluster Graph - NEAR

In the Dashboard
Delta / Volume Balance and Limit Delta: in aggregated form, data across all pairs and exchanges also confirmed the observations from the cluster chart. During the observed period, there was a sustained increase in market selling pressure, which was clearly reflected in the cumulative delta histogram. At the same time, extreme selling values continued to increase (red rectangle).

Simultaneously, the limit delta showed a cumulative increase in limit buy orders, and in the final stage of the movement they became even more pronounced (green rectangle).

Such a combination indicates active absorption of incoming market sell volume by limit buy orders. As a result, local support forms within the current range, further confirming signs of supply deficit and a gradual shift in balance toward buyers.

Aggregated Data - Dashboard

Exit Reasons

Cluster Chart: from the entry point, the price increased by more than 40%, which is a strong move for this asset.

As the movement developed, volumes began increasing significantly, which was clearly visible through the formation of large clusters. At the same time, a smooth and consistent pullback appeared.

Within this pullback, market buy orders continued to dominate, but they no longer had the same impact on price (red rectangle and arrow). This indicates a gradual decrease in buyer efficiency: volume remains present, but its impact on price movement is noticeably weakening.

Such dynamics indicate the formation of signs of a local surplus and an increasing probability of a deeper correction.

Under such conditions, further holding the position becomes accompanied by a noticeable increase in risk, making profit-taking a logical and justified decision from a position management perspective.

Cluster Graph Evaluation Result

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Conclusion

This review clearly demonstrates that the key factor in market analysis is not simply the presence of volume, but its efficiency and impact on price.

At the entry stage, despite the sustained dominance of market sell orders, the price not only stopped declining but also began gradually rising. This indicated weakening sellers and active absorption of their volume by limit buyers. Additional confirmation came from the aggregated dashboard data, where increasing market selling pressure was accompanied by cumulative growth in limit buy orders.

Another important factor was the volatility compression near the upper boundary of the range, which indicated price support from buyers and the market’s possible preparation for a further impulsive move.

Thus, the entry was based on signs of seller inefficiency and the formation of a local deficit, while the exit was based on decreasing buyer efficiency and the appearance of signs of surplus. Such an approach allows traders to evaluate not only the direction of price movement, but also the internal state of the market, which significantly improves the quality and justification of trading decisions over the long term.

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