Crypto technical analysis: a guide to the indicators
What each family of indicators measures, how they work together, and which mistakes ruin the read. Fifteen free guides to the indicators Crypto Terminal computes — no investment advice, no hype.
What technical analysis can do in crypto
Technical analysis studies price and volume to describe the state the market is in: trending or ranging, accelerating or running out of steam, volatility expanding or compressing. It does not predict price. Anyone selling you the opposite is selling something else.
That distinction matters because it changes how you use it. An indicator never says «buy»; it says price sits X deviations from its mean, or that momentum has been fading for N candles. The decision, the position size and the invalidation point are always yours.
In crypto the framework is the same as for any traded asset, with three differences worth keeping in mind:
- The market runs 24/7. There is no daily close and no opening gap, so candles depend on where each platform puts the cut-off, and patterns that lean on the open do not carry over from equities.
- Volatility is far higher. Oscillators hit their extremes much more often, and stretches of sustained overbought conditions last longer than equity intuition suggests.
- Liquidity is fragmented across exchanges and varies enormously between Bitcoin and a small altcoin. The same indicator is far more reliable on BTC than on a thin market.
The four families of indicators
The 18 modules in Crypto Terminal fall into four families. Knowing which family an indicator belongs to is what prevents the most common mistake: believing that three indicators measuring the same thing are confirming each other.
1. Momentum: the force behind the move
These measure whether price is moving with conviction or coasting. They are the first to flag exhaustion, and also the ones that cry wolf most often in strong trends. This family includes the RSI, which bounds strength on a fixed 0–100 scale; the MACD, which describes acceleration by comparing two moving averages; and StochRSI, an ultra-sensitive version of the former for fine-tuning timing.
2. Trend: which side of the market you are on
They answer the question that comes before every other one: is the market rising, falling or going sideways? Supertrend settles it at a glance with dynamic support and resistance derived from the ATR, and the moving-average crossover (MA50 and MA200) remains the market's background reference. Their weakness is well known: in sideways markets they fire constant, contradictory signals.
3. Volatility: how much it moves, and when it is about to
These do not give direction, they give energy. Bollinger Bands and their %B place price inside its statistical range, and the bands tightening —the well-known squeeze— usually precedes large moves without hinting which way. The ATR does the same job in raw form and is the basis for sizing a stop with a rule instead of by eye.
4. Cycle, macro and sentiment: the background context
These work on scales of months or years and are not for entering trades, but for knowing where you stand. The halving cycle sets the supply calendar; the Pi Cycle Top has flagged the tops of past cycles; Bitcoin dominance shows where capital is rotating and anticipates altseason; the ETH/BTC ratio measures which of the two large assets leads; XRP escrow describes a supply equation unlike Bitcoin's; and the Fear & Greed Index puts a number on the market's emotional state, which is read against the crowd.
How they combine: confluence and multi-timeframe reading
A single indicator is an opinion. A serious read appears when indicators from different families agree, because each one looks at a different dimension of the same price. Supertrend flipping bullish, the RSI leaving oversold and the bands coming out of a squeeze is information. The RSI, StochRSI and MACD all pointing up is less so: those are three ways of measuring the same thing.
The second layer is the timeframe. The same indicator can be oversold on the 1-hour chart and deep in a downtrend on the weekly, and those two readings do not carry equal weight: the higher timeframe always wins. That is why the Crypto Terminal analyser shows trend and RSI across six timeframes at once —1h, 4h, 1D, 3D, 1W and 1M— so you can see instantly whether a signal runs with the bigger picture or against it.
The five mistakes that cost the most
- Reading overbought as an order to sell. An RSI above 70 in a strong uptrend can stay there for weeks. Overbought means the move is extended, not that a reversal is imminent.
- Stacking indicators from the same family and calling it confirmation. If they all measure momentum, they will all say roughly the same thing roughly always.
- Ignoring the higher timeframe and mistaking a bounce inside a decline for a trend change.
- Tuning parameters until the past fits. Any indicator can be tweaked until the last six months look perfect on the chart. That is not analysis, it is memorising the past.
- Using indicators without risk management. Without an invalidation point defined before entering, the best technical read in the world protects you from nothing.
Where to start
If you are starting out, the order that works best is: the RSI first, because its fixed scale forces you to think in context; then the MACD, to understand acceleration; and then Supertrend, which sums up the side of the market without ambiguity.
If you already trade and want to understand the cycle, start with Bitcoin dominance and continue with the halving cycle. Those two pieces explain why the same technical indicator behaves differently depending on which year of the cycle you apply it in.
The nineteen guides
RSI in crypto
Overbought, oversold, divergences and why RSI > 70 does not mean sell.
MomentumMACD explained
Crossovers, the zero line and the fine histogram read that front-runs classic signals.
CyclePi Cycle Top
The indicator that called the 2013, 2017 and 2021 tops — and where it fails.
MacroBitcoin dominance
BTC.D as a capital rotation map and an altseason detector.
VolatilityBollinger Bands
%B, Bandwidth and the squeeze that precedes explosive moves.
CycleHalving cycle
The 4 halvings, the four-year pattern and the metrics framing this cycle.
SentimentFear & Greed
The market's emotional thermometer and how to read it as a contrarian.
TrendSupertrend
ATR-based dynamic support: signals, trailing stops and limits in ranges.
MacroETH/BTC ratio
Who leads between Bitcoin and Ethereum, and why it front-runs capital rotation.
SupplyXRP escrow
How the monthly XRP release works and why it is not a halving.
ComparisonRSI vs MACD
What each measures, why they do not compete and which to use in a range or a trend.
MacroXRP dominance
What it measures, why it has spikes of its own and how it differs from BTC.D.
SentimentETH fear & greed
Why the general index is not enough and how to build an Ethereum-specific read.
CycleRainbow Chart
What the coloured bands are, why the regression is recalculated and what it is worth.
LevelsFibonacci retracements
Where 61.8 and 78.6 come from, why 50% is not Fibonacci and how they are drawn.
VolatilityWhat the ATR is
Why it measures size and not direction, and how to use it for stop distance and position size.
OscillatorsWhat the StochRSI is
An indicator computed on the RSI: why it saturates so much and where it genuinely helps.
DerivativesLong/short ratio
It counts accounts, not money: why that can invert the reading entirely.
MacroDXY and dominance
Two indices that get confused and that share not a single component.
VolumeVolume and OBV
The OBV adds the whole volume by the sign of the close, not by how far price rose.
VolatilityMarket strength
The RSI measures travel and the BBWP volatility. What they say when crossed.
VolumeChaikin Money Flow
Weights volume by where the candle closes, and never looks at the previous one.
TrendMoving-average cross
The golden cross arrives once the move has been running for months.
MomentumElder Ray
Two forces measured against the 13 average, not against zero.
MacroMacro calendar
It does not say where price goes: it says at what hour it moves.
Frequently asked questions
Does technical analysis work on cryptocurrencies?
Technical analysis does not predict price: it describes the state of the market and helps decide where to take risk and where not to. In crypto it applies just as it does to any other traded asset, with two important differences: the market runs 24/7, so there are no opening gaps or weekly closes, and volatility is far higher, so oscillators reach their extremes much more often than in equities.
How many indicators should you use at once?
Few, and from different families. Three indicators measuring the same thing (RSI, StochRSI and MACD, all momentum) are not a confirmation: they are the same data point repeated three times. A more solid read combines one trend indicator, one momentum indicator and one volatility indicator, then checks whether they agree across several timeframes.
Which timeframe should I look at?
It depends on your horizon, but the higher timeframe always outranks the lower one. A buy signal on the 1-hour chart inside a weekly downtrend is a weak signal. Looking at the same indicator across 6 timeframes (1h, 4h, 1D, 3D, 1W, 1M) stops you from mistaking a bounce inside a larger decline for a market reversal.
Which indicator is best to start with?
The RSI, because its fixed 0–100 scale forces you to think in terms of context instead of automatic signals. Once reading it feels natural, the logical next step is the MACD, which describes how the move is accelerating, and then a trend indicator such as Supertrend to define which side of the market you are trading.
Are cycle indicators like the halving or Pi Cycle Top useful?
They are useful as background context, not as entry signals. The halving is a supply event with a known date and the Pi Cycle Top has marked the tops of several past cycles, but with very few historical repetitions: four halvings and three tops are not a statistical sample. Use them to know where you are in the cycle, never to decide a specific trade.
Is this investment advice?
No. These guides and the Crypto Terminal app are educational and technical analysis material. They do not constitute financial advice or a recommendation to buy or sell. Trading the cryptocurrency market is highly volatile and carries the risk of total capital loss.
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