A fast UNI trade based on supply/demand logic: selling pressure is present, but there’s no result. Clusters and limit activity — step by step.

Resonance case: on D1 — selling without a price drop; on the lower TF — market buys; on the dashboard — volume confirmation. Entry, stop, and exit — step by step.

Local shortages with dominant market selling and active limit volume absorption. Analysis of price reaction to volume, confirmation via delta, and movement registration when buyers' effectiveness declines.

An example of a trade where, despite market selling dominating, the price stopped declining. Cluster analysis, aggregated data, and volume absorption limit allowed us to objectively determine the entry point and promptly capture the move.

The prevalence of market selling leads to a renewal of the local minimum and the formation of a descending structure. Limited demand is present, but it is not enough to halt the decline; selling remains effective.

The cleanest day trades don’t start with a “signal” — they start with market inefficiencies. DOGE delivered exactly that. Here’s how to read it using cluster charts and aggregated metrics.

A good example of when you look for mid-term ideas but end up finding an excellent intraday trade. It all started with observing a strong uptrend on the 1H timeframe. Special attention was paid to how price reacted to selling: the sells did not trigger a deep correction, which often points to buyer strength. A detailed 15M analysis and confirmation with aggregated metrics helped identify an entry with strong risk/reward potential.

An example of a trade in which the key factor was the loss of market selling efficiency and the price's reaction to volume. Cluster analysis and aggregated data indicated the formation of a local shortfall, which allowed the momentum to be reversed and the position to be locked in a high-risk zone.

The analysis shows how, against the backdrop of dominant market selling, the price stops declining, creating signs of a localized shortage. An analysis of the price's response to volumes, aggregated data, and order efficiency allowed us to objectively determine the entry point and promptly capture the movement.

A practical breakdown of a long trade through the mechanics of supply and demand. Using a cluster chart and aggregated metrics, it shows how to identify selling inefficiency, confirm the involvement of a limit buyer, and justify the entry.

This analysis demonstrates how volume-based price reaction, cluster analysis, and aggregated delta and Z-Score data allow you to find excellent market moves and make informed trading decisions with controlled risk.

Trade analysis based on price response to volume: market sell-off dominance without price reduction, confirmation via delta and limit demand, movement tracking, and profit-taking during the initiative shift.

A local-supply shortage case and a solid long setup. The seller is pressing with volume, but price fails to print new lows — sells become inefficient and buyer support shows up. Next comes the impulse and a logical exit where buying strength fades and limit resistance forms. A clear example of how supply/demand analysis delivers real results — you can use it as a template.

Deal analysis using cluster analysis, heatmaps, and aggregated data. Example of entry based on localized shortages and exit based on increased sales force efficiency while managing risk.

Trade analysis based on volume: absorbing market sales, creating a local shortage, and locking in a position when buying becomes less effective. Objective entry and exit based on the impact of volume on price.

An example of a trade where a price increase amid market selling indicated a local shortage and strong demand. Entry and exit were determined by volume, price reaction, and a change in market momentum.

A breakdown of the CVX/USDT trade, focusing on cluster analysis and aggregated data. Amid prevailing market selling, the price stopped declining, indicating the formation of a local shortage and providing grounds for entry. The exit occurred after a strong price move and signs of weakening buying momentum.

The analysis is based on volume and price reaction analysis: as sales increased, their effectiveness declined, indicating the formation of a localized shortage. Combining the cluster chart, delta, and Z-Score allowed us to objectively determine the entry point and promptly detect movement when buying momentum waned.

A trade analysis based on cluster analysis and aggregated volumes. Despite the predominance of market selling, the price stopped declining, indicating a local shortage and the presence of limit demand. The exit was made after the abnormal movement and signs of sellers taking over, capturing the momentum already realized.

A comprehensive analysis of the asset with a focus on clusters, delta, and supply/demand balance. Entry occurs when local shortages occur, and exit occurs when buyer initiative weakens and counter-pressure increases.

A deal analysis based on cluster analysis and aggregated volumes. It shows how rising sales volumes stop putting downward pressure on the price, creating a local shortage and entry point. It also shows how a change in volume efficiency and the emergence of counter-selling leads to a balanced decision on profit-taking.

A GUN/USDT trade analysis based on cluster analysis and aggregated data. It shows how the dominance of market selling in the absence of a price decline indicates a local shortage and provides an entry point, while rising counter-volume helps lock in profits early. A good example of careful volume management without forecasts or expectations.

YGG/USDT analysis: the market showed weakening sellers on W-formations and a loss of buyer effectiveness during local growth. The combination of cluster charts, delta, and limit volumes allowed for timely entry and exit of positions. An excellent example of working with volume deficits and surpluses.

A breakdown of the NOT/USDT trade: how cluster analysis, delta, and volume efficiency helped spot weakening sellers, find an entry point, and lock in profits after an abnormal rally and increased volatility.