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.

Following Donald Trump's statements about imposing 100% tariffs on Chinese goods, panic ensued, and positions worth tens of billions of dollars were liquidated. In this article, we explore why a single political statement triggered a market crash, how fundamental economic factors impact the cryptocurrency market, and how to anticipate a collapse in advance through supply and demand analysis.

The final part of the series on trend lines — about how to build them correctly, confirm them, and test their validity. There are no “magic formulas” here — only logic, volume, and the behaviour of market participants. You’ll learn why two points don’t yet make a trend, how the rule of three touches works, and what genuine trend confirmation looks like. This piece will help you see the real actions of buyers and sellers behind the chart, distinguish true movement from market noise, and build your own understanding of trends without unnecessary indicators — guided purely by volume and market logic.

This is a continuation of the series on trend lines — but this time we go deeper, to the very point where movement is born. If it’s not indicators or algorithms that create a trend, then what does? Here you’ll find an explanation of how supply and demand work, why price moves in waves, what lies behind delta and volumes, and how market phases gradually replace one another. Discover how to see the real market behind the chart — it will help you understand the inner logic of the market and learn to read a trend not by lines, but by the actions of its participants.

This isn’t dry theory or a set of rules to memorise. It’s a clear answer to why trends emerge and how the market truly behaves — why it moves in waves, where price inertia comes from, and why the “power of money” always outweighs emotion. Here you’ll see the logic behind every price movement — only the real mechanics of supply and demand. If you want to understand where the market is really heading and learn to see not the chart, but the movement of money itself — start here.

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.

Binance Wallet has integrated Meme Rush with Four.meme, a platform for launching meme tokens. We analyze the mechanics of stages, volume growth, and activity by cluster. Why interest in FOUR is increasing and how to use it for trading via a grid bot.

A detailed guide on how to use the Grid Bot to achieve 100% monthly profit. Breakdown of the 6 stages of a trade: from screening ideal assets (significant drop, trend change) to validation using a cluster chart (signs of balance) and implementation with a long Grid Bot. Key settings (range, grids, SL/TP) and the importance of capital diversification.

In this article, we unpack what a trend is and how it forms, explain the role of volumes and “smart money”, and show how supply and demand work in the market. We’ll talk about tools for identifying a trend, practical approaches to entering and exiting positions, and what no strategy can function without. The material suits those who want to understand market mechanics and learn to use a strategy of following the trend in long-term and intraday trading.

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 falling wedge in trading is a popular technical analysis formation that many consider a ready bullish signal. But behind every pattern there is real money and real volumes. In this article, we explain when this wedge trading pattern actually works, why classical interpretations oversimplify the picture, and how modern tools — cluster chart, heatmap, delta balance, and price change per unit of volume — help validate the formation. Only volume analysis turns a picture on the chart into a working tool and gives traders an edge in the crypto market.

📊 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% 🚀

An analysis of the SUI token's potential following the news of the SUI Group stock buyback. A breakdown of the project's fundamental indicators, tokenomics, and staking. A detailed analysis of the chart, volumes, and growth potential in the context of the overall market trend. A discussion of optimal strategies for investors.

An analysis of the MANA token's potential amid news of its exit from a bearish trend. A breakdown of Decentraland's indicators, including tokenomics and user activity. A detailed analysis of the chart, volumes, and signs of accumulation that point to a possible new "bullish" phase.

An analysis of the dYdX token's prospects following the ETP launch by 21Shares. A breakdown of the exchange's financial metrics, an analysis of the token's chart and volumes, and an assessment of the effectiveness of the Buyback program and other dYdX initiatives. A discussion of the token's potential and risks.

An analysis of the AVAX token's growth amidst news about a new treasury fund and a partnership in Korea. We explore whether the news is the cause of the rally or just a justification for an existing move prepared by large players. A discussion on the importance of analyzing volumes and price dynamics.

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.