One condition finds noise. Five find something.
Five conditions, evaluated together, across every coin, in one pass.
$0.5200SOL
$100.00BTC
$65,000
Prices 125,000× apart. Identical readings. That is what makes ranking 81 coins by any indicator meaningful.
How to read our numbers.
02 — Three conventionsPercentages, ratios and plain scales.
Three kinds of number live on this platform. Mixing them up is the most common misreading. Here is one real example of each.
Every trade has two sides. A maker places an order and waits for someone to meet it. A taker accepts the price on offer immediately. Taker Ratio is the share of volume that came from takers — the ones in a hurry.
When a value cannot be honestly computed it stays empty — never written as zero, never carried forward. A zero here always means a measured zero.
Ten families, one at a time.
Each of the ten indicator families is explained the same way: what it measures, how we compute it, a worked example with real arithmetic, and where it misleads you.
Bollinger Bands — 27 values
9 timeframes · 5m–24h · Upper / SMA / LowerBollinger Bands measure volatility: how far price has been travelling from its own recent average. Wide bands mean turbulence. Narrow bands mean calm.
The second thing they measure is position — where price sits inside that range right now. A reading tells you both at once: how stretched the market is, and which side of the average price is on.
A price. To know how close you are, you subtract and divide yourself — separately for every coin you follow.
The distance, already calculated. Negative means price is below the band.
A rule like “price within 1% of the upper band” is one condition here — B4hU > -1 — and it means the same thing on all 81 coins. Elsewhere it is 81 separate calculations.
Same position inside the bands. Same numbers. Any price.
Same position as scenario 2 — but the bands are five times narrower, so the readings are five times smaller. Band width is information.
Treating a band touch as a signal by itself.
In a strong trend price can ride a band for hours. The band says “this is unusual”, not “this will reverse”.
RSI — 10 values
10 timeframes · 1m–24h · one value eachRSI measures how fast a price has been moving, on a scale from 0 to 100. Above 70 is conventionally called overbought — the rise has been quick. Below 30 is oversold — the fall has been quick. Around 50 means neither side has been in a hurry.
It measures speed, not destination. A coin can stay oversold for a long time while it continues falling. What RSI tells you is that the move has been unusually fast for this coin, which is a reason to look closer, not a conclusion.
RSI is everywhere, and the calculation is the same one. What is usually missing is breadth: you read it one chart and one timeframe at a time.
You can ask “which coins are below 30 on the 4-hour right now?” and have the answer in one pass — instead of opening 81 charts.
Deeply oversold on the short scales. Completely ordinary on the long ones. This is a fast local flush inside a larger trend that has not changed. A single RSI reading cannot show you that — ten can.
Treating oversold as a buy signal.
Below 30 says the fall has been quick. In a genuine downtrend RSI can sit under 30 for days while the price keeps going. It is a description of speed, and speed alone has never told anyone where something stops.
MACD — 30 values
10 timeframes · 1m–24h · Line / Signal / HistogramMACD tracks the relationship between two moving averages of price — a fast one and a slow one. When the fast average pulls above the slow one, momentum is turning up. When it falls below, momentum is turning down. It is designed to show a change in direction before the price itself makes it obvious.
It produces three numbers. The Line is the gap between the two averages. The Signal is a smoothed version of the Line. The Histogram is the gap between Line and Signal — and it is the one most worth watching, because it turns first.
Raw dollar figures. Meaningful only against this coin’s price.
On other platforms a trader sets “BTC histogram above 800” and “SOL histogram above 0.8” — a separate threshold for every asset. Here it is one rule: histogram above 1. It means “the gap has reached one percent of the price”, and that is the same statement on every coin.
Raw histograms 125,000× apart. Identical stored values. A condition like “MACD Histogram 1h above 0.9” means the same thing on every coin.
The Histogram has just crossed above zero. Both averages are still below their starting point — the turn shows here first.
Large and positive. Momentum is not just present, it is wide.
The mirror image. The Histogram turned negative while the Line is still above zero.
The Histogram is always Line minus Signal. Its sign tells you direction; its size tells you how much room is between them.
All three values are near zero. In conditions like this the Histogram crosses zero constantly and almost none of those crossings mean anything.
Reading a crossover as a conclusion.
MACD is built from moving averages, and moving averages lag by construction. In a sideways market it produces crossovers constantly, most of them meaningless. It carries far more weight when something independent — volume, volatility — confirms that a real move is underway.
VWAP — 9 values
9 timeframes · 5m–24h · one value eachVWAP is the average price at which a coin actually traded, weighted by how much volume happened at each price. Above it, the people who bought recently are in profit. Below it, they are underwater.
That has practical consequences. VWAP often behaves as support or resistance simply because a large number of participants are watching the same line.
A price on a chart. How far above it you are is left to you to work out, coin by coin.
The distance, already calculated, as a percentage.
A rule like “price more than 1% above the 4-hour VWAP” is a single condition here — V4h > 1 — and it means the same thing on all 81 coins.
Recent buyers are in profit. The price is extended above where the volume actually traded.
The current price is exactly the volume-weighted average.
Recent buyers are underwater.
A long way under the recent consensus price.
Reading it as a moving average.
A moving average treats every minute equally. VWAP does not — it weights by volume, so one large trade counts for more than an hour of small ones. That is the whole point, and it is why the two lines can sit in very different places.
Price Change — 21 values
21 lookbacks · 1m–24h · one value eachThe most direct measurement on the platform: how much has the price moved, in percent, over a given lookback.
These are lookbacks, not candles. Price Change 1h read at 16:43 compares the price now against the price at 15:43. It is not a one-hour candle, and that distinction matters when you build a rule.
The price is 2.40% higher than it was exactly one hour earlier.
Usually two: one hour and twenty-four hours. Sometimes a seven-day figure. Enough to know something moved, not enough to know when.
Twenty-one lookbacks let you locate when a move began, not just that it happened.
Almost nothing in the last ten minutes. Nearly two and a half percent when you look back twenty. The move happened between ten and twenty minutes ago and has gone quiet since. With only a 1h and a 24h figure, all you would know is that it moved.
Reading a lookback as a candle.
Price Change 45m is not a 45-minute candle. It is the difference between the price now and the price 45 minutes ago — two points, nothing in between. A coin that fell hard and fully recovered inside those 45 minutes reads as almost no change at all.
Volume Change — 9 values
9 timeframes · 5m–24h · one value eachVolume Change compares how much trading happened in the current window against the window immediately before it. It is a ratio, not a percentage: 2.0 means volume doubled, 0.5 means it halved, 1.0 means nothing changed.
It is the fastest way to see activity accelerating. It is also the easiest indicator on this page to misread, because it says nothing about what the previous window was like.
Volume here is the number of coins traded, not their dollar value. That keeps the ratio honest when the price itself is moving — a window can look busier in dollars purely because the price rose.
This is the standard calculation, unchanged. Current window divided by the previous one — the same figure any platform would give you. What is different is that we pair it with a second measurement that knows what normal looks like.
Twice the trading of the previous quarter hour.
Below 1.0 means the window was quieter than the one before.
Thirty times the previous window — but the previous window was almost empty. Nothing unusual actually happened.
A real, measured zero. But if the PREVIOUS window had been the empty one, there would be nothing to divide by, and the value would be empty instead. Zero and empty are different answers.
Trusting a large ratio without checking the denominator.
Volume Change divides by the previous window. When that window was nearly empty, an ordinary amount of trading produces a huge number. This is the single most common false alarm in volume analysis — and it is exactly what the next family is built to solve.
See Volume Average Ratio →Taker Ratio — 9 values
9 timeframes · 5m–24h · one value eachEvery trade has two sides. One person placed an order and waited — the maker. The other accepted the price on offer immediately — the taker. Taker Ratio is the share of volume that came from takers: the ones in a hurry.
Above 0.5 means more aggressive buying than selling. Below 0.5 means the opposite. It is the closest thing to order-flow information available without professional market-making tools.
Taker and maker volume exists in raw exchange data, but it is rarely surfaced as a ready value — and almost never across nine time scales for a whole market at once.
You can ask which coins are being bought most aggressively right now and get an ordered answer.
This is not a value that swings from 0 to 1. It hovers near the middle. A reading of 0.58 is not a rounding artefact — it is a substantial imbalance. Read it against how it actually behaves, not against the scale.
The price fell over three percent in an hour, yet 61% of the volume came from aggressive buyers. Someone was absorbing the selling. Whether that continues is not something the number can tell you — but it is a very different picture from the same fall at 0.44.
Expecting it to swing.
New readers see a 0–1 scale and wait for 0.8 or 0.2. Those almost never come. Calibrate to the actual distribution: most of the time this value lives between 0.47 and 0.53, and the interesting readings are the ones a few hundredths outside it.
Volume Average Ratio — 9 values
9 timeframes · 5m–24h · one value eachVolume Average Ratio compares current activity against this coin's own recent normal, rather than against whatever happened in the window just before. It takes the volume in the current window, projects it to a full-day rate, and divides that by the coin's average daily volume over the past seven days.
A reading of 1.0 means activity is exactly normal for this coin. 10.0 means ten times normal. Because the baseline is the coin’s own history, the number means the same thing on every asset — what counts as heavy volume for a small token is a quiet afternoon for Bitcoin, and this handles that automatically.
The 1440 is minutes in a day. Multiplying by it converts a fifteen-minute window into the daily pace it implies, so it can be compared against a daily average.
Not available. Most tools offer volume, and volume compared to the previous period. Comparing against the asset’s own recent baseline is uncommon outside professional terminals.
A ratio against this coin’s own 7-day average, at nine time scales, recomputed every minute for all 81 coins.
Because the baseline is per-coin, a reading of 10 means the same thing on Bitcoin and on the smallest token in the list. That is what makes ranking all 81 coins by it produce a meaningful order.
The previous window was nearly dead, so the ratio exploded. Measured against the coin’s own normal, this window was quiet.
Both windows were extreme, so comparing them against each other shows almost no change. Against the coin’s own normal, this is a major event already underway.
Volume Change asks “more than a moment ago?”. Volume Average Ratio asks “more than usual?”. They disagree in both directions, and only one of them knows what usual means.
A real zero. The coin has a valid average to divide by — it simply did not trade this window.
Reading a high ratio as bullish.
Volume has no direction. Ten times normal activity during a collapse is exactly as abnormal as ten times normal during a rally. This tells you something is happening, never what.
ATR — 9 values
9 timeframes · 5m–24h · one value eachATR measures how much ground a coin actually covers in a typical period — its realized volatility. Not direction, not momentum. Range.
True Range takes the largest of three distances: high minus low, high minus the previous close, or previous close minus low. Including the previous close is what makes it “true” — it captures gaps between periods that a simple high-minus-low would miss.
The period still forming contributes to the value you see now, but it is never allowed to feed back into the confirmed average. Completed periods are settled — the number recorded for a finished period never changes afterwards.
Two numbers in price units. Not comparable, and useless for setting one rule across several coins.
Both travel 1.3% of their price in a typical four hours.
The same volatility, expressed the same way. A rule like “only trade coins whose 4-hour range exceeds 1%” is one condition across all 81 coins instead of 81 separate dollar thresholds.
A 1% stop sits four times further away than this coin normally travels in an hour. It will rarely be touched by ordinary movement.
The same 1% stop sits well inside this coin’s ordinary hourly range. It will be hit constantly, whether the idea was right or wrong.
The same stop-loss number means two completely different things on these two coins. Stop-loss and take-profit are values you enter yourself — ATR is how you decide what to enter.
The long scale still remembers a rough day; the short scale says it has gone quiet. Regimes change faster than long averages notice.
Waiting for ATR to give a signal.
It never will. ATR does not say up or down, and it does not say when. Its value is that it tells you how large “normal” is for this coin right now, so every other number you choose can be set relative to that.
MACD Histogram Delta — 9 values
9 timeframes · 5m–24h · one value eachThe MACD Histogram tells you how strong momentum is right now. MACD Histogram Delta tells you how fast that strength is itself changing. If the Histogram is speed, this is acceleration.
Two coins can show exactly the same Histogram and be in completely opposite situations — one fading from a stronger reading, one climbing from a weaker one. The Histogram cannot tell them apart. This can.
The lookback is a timestamp, not a row count. If that exact minute is not in history, the value stays empty rather than quietly comparing against the nearest available minute — which would shift the window and produce a number that looks fine and is wrong.
MACD Histogram is standard everywhere. Its rate of change is not — it is rarely offered as a stored value, which means the comparison has to be made by eye, one chart at a time.
Because it is stored, you can ask a question that is otherwise very hard to ask: which coins have momentum accelerating right now, regardless of whether it is currently positive or negative. That is a single condition here, and it is the same condition on every coin.
Momentum is positive but fading.
Momentum is positive and building quickly.
Both traces end at the identical value, 0.300. Identical Histogram. One is running out of force, the other is gathering it. Without the delta, these two look the same.
The Histogram is still negative — the Line and Signal have not crossed and nothing has flipped yet. But the delta is positive, which is commonly read as a downtrend losing force. Whether that continues is not something any indicator can promise. What the number gives you is an earlier place to start looking.
Confusing the delta with the Histogram.
The Histogram is already a difference — Line minus Signal. This is a difference of that difference. A large delta does not mean strong momentum; it means momentum is changing quickly. Momentum can be weak and accelerating, or strong and decelerating. Those are opposite situations, and this is how you tell them apart.
