BANANAGAN/USDT trade: demonstrated how a combination of cluster analysis and aggregated data helps spot weakening sellers early and enter long positions. And then, exit wisely when the initiative begins to shift to sellers. Brief, to the point, and without unnecessary fuss.

The analysis examined a situation where, during a decline, buyers began to show local initiative: sellers were pressuring the market, but the price barely responded, indicating a weakening of pressure and the first signs of a shortage. Subsequently, aggregated data confirmed a decrease in selling and a shift in the balance toward buying. During the rise, the price showed increased volatility and the formation of large clusters, and market buying gradually began to shift to selling—a signal of weakening initiative. Under these conditions, fixing the position became the optimal and rational decision.

This analysis demonstrates how a combination of cluster charts, heat maps, and aggregated data allows you to identify localized signs of shortfall and make informed entry and exit decisions. We'll explore why buyers outperformed sellers on the decline, what triggered the position, and how to determine when momentum has run out.

A breakdown of the NIL/USDT trade: why the entry was based on weakening sellers and increasing buying efficiency, and how a combination of clusters, aggregated data, and their impact on price allowed for a timely lock-in after a strong move.

A review of the STRK trade with a focus on volume behavior: where a local shortage emerged, how limit buys created support, and why the subsequent weakening of buyer effectiveness signaled an exit. Pure supply and demand logic – no unnecessary noise.

An example of how competent analysis of volumes and price reaction can help identify a shift in the balance between buyers and sellers. Despite active selling, the price held and rose by more than 30%, confirming the effectiveness of supply and demand analysis. An excellent case study for understanding why it's important to monitor not only volumes but also how the market reacts to them.

This analysis examines a situation where, despite significant selling pressure, the price held thanks to limit support from buyers. Volume and cumulative delta analysis helped identify a balance shift and enter the position at the optimal point. A more than 100% increase confirmed the effectiveness of this approach, and profit-taking after the abnormal move avoided unnecessary risk.

An analysis of the ZK/USDT pair demonstrates how volume and delta can reveal the true balance of supply and demand in the market. The formation of a W-shaped formation and the ineffectiveness of selling indicate a weakening of selling pressure and the emergence of a localized shortage. Confirmation through aggregated Dashboard data strengthens the signal—limit buys have begun to actively accept market sells, forming the basis for a rally. This example perfectly demonstrates why it's important to analyze not just price, but the impact of this volume on price movement.

The OG/USDT coin demonstrated a great example of how combining cluster analysis and limit order data can help identify the moment of a shift in the balance of power. Despite active selling, the price was held up by limit buyers, signaling a local shortage. Subsequent growth confirmed this idea, and the appearance of density from above signaled profit-taking.

Despite significant selling volumes, the price remained stable, indicating a local shortage and a buyer's advantage. This allowed the price to rise by more than 30%. However, as the price continued to rise, the effectiveness of buying diminished, and signs of a rebalancing appeared on the pullback—the optimal time to lock in a position and adhere to risk management.

An example of how price behavior can change after a rise. It's important not only to see volumes but also to understand how the market reacts to them—this helps you lock in gains early and avoid giving up your profits.

The analysis demonstrates how combining cluster analysis and aggregated data helps identify weakening sellers and the formation of localized shortages. Additional metrics, such as buying efficiency, increased confidence in the long scenario. The momentum rally confirmed the validity of the analysis, and selling on the pullback served as a signal for timely profit-taking.

The analysis demonstrates how combining cluster analysis and aggregated data helps identify weakening sellers and the formation of localized shortages. Additional metrics, such as buying efficiency, increased confidence in the long scenario. The momentum rally confirmed the validity of the analysis, and selling on the pullback served as a signal for timely profit-taking.

The YGG/USDT coin demonstrated a clear example of a reversal after a localized shortage of sellers. The entry was confirmed by cluster analysis and aggregated data, including an abnormal Z-Score deviation and low volatility. After a near-100% surge, a decline in the effectiveness of buys signaled profit-taking and exit.

This analysis demonstrates how cluster analysis and aggregated data can be used to identify weakening selling pressure and the moment when buyers take the initiative. Repeated selling without breaking the low and rising cumulative delta formed the basis for entering a long position, while the subsequent pullback after a strong rally signaled profit-taking.

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.

This analysis examines a SAND/USDT trade, where a combination of cluster analysis, heatmap, and Dashboard data helped identify a shift in the buying and selling mood. Despite market selling pressure, the price held thanks to limit support from below, prompting a long entry. Profit-taking occurred after buying activity weakened and volume efficiency declined.

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.

A breakdown of the ALPINE/USDT trade demonstrates how the combination of a cluster chart and Dashboard tools helps identify strong entry points. Despite active selling, the price held and did not break new lows, and a rare deviation in the Z-Score reinforced the hypothesis of an upside move. Ultimately, the decisive factor was the emergence of selling pressure and signs of profit-taking by participants. This analysis demonstrates the value of a comprehensive approach—monitoring the balance of power and taking action promptly.

In this analysis, we examined the situation with COTI/USDT. Despite significant buying and large clusters on the rise, the price failed to break new highs, indicating weakening buyers. This was followed by a sharp decline of more than 20%—almost five times higher than the typical price movement for this coin. This dynamic indicates increased volatility and the risk of holding the position, so locking in seemed the optimal solution.

In this trade, I relied on cluster analysis and Dashboard data: large market sell-offs failed to push the price down, indicating a shortage and active limit buyers. This became the key to entry. The final twist was a surge in selling volumes and increased volatility—a signal to lock in the result and take profits in time.

📊 The TST/USDT trade demonstrated how cluster analysis can help identify strong entry points. Despite the prevailing selling pressure, selling pressure eased, and the price held and gradually rose, indicating a localized shortage. 💡 The final move exceeded 70%, after which a pullback began—a signal to take profits and reduce risk.

The KNC/USDT deal became an example of how important it is to see not only the volume of sales, but also their effectiveness. When the pressure from sellers weakened and the price held, a signal appeared for a local deficit and entry into a long. At the exit, the situation was reversed by increased sales and the bears seizing the initiative. Result: +92.57% 🚀

This analysis examines a WLD/USDT trade, where the key factor was the price stability under obvious pressure from sellers. Analysis of the cluster chart, heat map and dashboard showed signs of local deficit and buyer activity, which gave a strong entry signal. At the exit, the decisive factor was the increase in market sales and a gradual decrease in price, which allowed us to fix the result in time and save profits.