Signals compress three percent-change windows—1h, 24h, and 7d—into markers that are faster to scan than a row of numbers. They describe alignment and shape. They do not identify chart patterns, forecast returns, or issue buy and sell instructions.

24HourCrypto separates signal from trend. allGreen and allRed ask whether tracked windows share a sign. upTrend and downTrend ask whether the three change values are ordered from the shortest window to the longest. A coin can satisfy one, both, or neither.

Read a marker as a factual label on recent data. Its value comes from how many coins in the defined screen share it.

allGreen means every available tracked change is non-negative: 1h, 24h, and 7d values do not fall below zero. allRed means every available tracked change is non-positive. In ordinary complete data, that corresponds to all three windows being up or all three being down.

There is an important data caveat: the calculation evaluates the tracked values that are present. If only one window is available and it is positive, the row can qualify as allGreen. If no tracked values are available, neither signal is set. Zero is accepted on either side because it is neither negative nor positive.

Therefore, verify the 1h, 24h, and 7d columns when completeness matters. The marker summarizes available evidence; it does not invent missing observations.

upTrend requires complete data and the exact relationship 1h change > 24h change > 7d change. downTrend requires 1h change < 24h change < 7d change. These markers compare percentage-change readings; they are not moving-average or price-chart trend indicators.

Example: 1h +4%, 24h +2%, 7d -3% is upTrend because 4 > 2 > -3. It is not allGreen because the 7d value is negative. Conversely, +1%, +5%, +12% is allGreen but downTrend under the ordering rule because 1 < 5 < 12. The coin remains positive across all windows even though its shorter-window reading is weaker.

This distinction is why “getting stronger” or “getting weaker” should always be read in the context of the exact formula.

• allGreen + upTrend: positive across the windows, with the shortest-window reading strongest. This is aligned strength with acceleration.
• allGreen + downTrend: positive across all windows, but shorter-window readings are smaller. Strength remains, while near-term momentum is cooling.
• allRed + downTrend: negative across the windows, with the shortest-window reading weakest. This is aligned weakness with deterioration.
• allRed + upTrend: negative across all windows, but shorter-window readings are less negative. Weakness remains while pressure may be easing.
• Trend only: values are ordered, but signs are mixed across zero.
• Signal only: signs align, but the values do not form a strict ordered sequence.
• Neither: mixed or uneven action that does not fit these compressed patterns.

The matrix prevents a common mistake: treating green as accelerating or red as deteriorating without checking the trend marker.

A marker on one coin is descriptive. A marker shared across a defined universe becomes breadth. If 18 of 25 category members are allGreen, strength is broadly distributed. If only two are allGreen and one accounts for most of the category’s value, the theme is selective despite an impressive leader.

Screen Analysis™ counts healthy (allGreen), weak (allRed), upTrend, and downTrend coins, then expresses each as a share of the result set. Overall bias becomes mostly bullish when healthy coins clearly outnumber weak coins, mostly bearish when weak clearly outnumber healthy, and mixed when neither side leads decisively.

Always name the denominator: “60% of top-100 assets” is more useful than “60% of coins” when the screen excludes most of the market.

Signals become more useful when paired with market cap, volume, and Vol/Mcap. A thin micro cap can become allGreen after limited trading. A large, liquid asset usually requires broader participation to produce the same alignment. Neither is automatically better, but they represent different evidence quality and risk.

For a momentum screen, define the size universe first, require enough volume for the purpose, and then apply allGreen or upTrend. For a risk screen, use allRed inside a stable universe and inspect whether weakness is broad or concentrated in one theme. For recovery research, allRed + upTrend can identify names that remain negative while shorter windows improve—but that is a research queue, not proof of reversal.

Signals can mislead when data is incomplete, volume is thin, one window contains an extreme move, or the chosen universe is biased. Overlapping windows also matter: 1h sits inside 24h, and 24h sits inside 7d, so three green cells are not three independent confirmations.

A marker says nothing about valuation, token unlocks, venue quality, news, or whether a move is sustainable. It can change at the next sync as prices and windows roll. Avoid language such as “confirmed breakout” unless separate evidence supports it.

When a signal looks surprising, inspect all three values, trading interest, market cap, ATH distance, and category peers. Missing data should reduce confidence. Extreme Vol/Mcap should prompt scrutiny rather than automatic enthusiasm.

1. State the universe: rank, size, category, exchange, or named peer set.
2. Read the allGreen/allRed share to measure sign alignment.
3. Read upTrend/downTrend separately to measure ordering.
4. Use the combination matrix to distinguish acceleration from cooling.
5. Check volume and Vol/Mcap for participation.
6. Inspect concentration so a few large names do not stand in for the set.
7. Compare the screen’s median performance with Bitcoin.
8. Open leaders and laggards for row-level evidence.

TA reads one chart. Screen Analysis reads the exact coin set your rule produced. Signals are the shared vocabulary connecting the table, the screen-level read, and every live Market Report that contains that screen.