Technical analysis (TA) is the study of price and volume data to describe how a market is behaving. It does not tell you what an asset is worth, and it does not predict the future. What it offers is a shared vocabulary for market structure and a way to define, in advance, where you would be wrong.

Two honest framings before the tools:

• TA deals in probabilities, not outcomes. A pattern that "works" often still fails frequently.

• No indicator contains information the price does not already contain. Every indicator is a rearrangement of price, volume or time. Stacking more of them does not add certainty — usually it just adds ways to justify a decision you already wanted to make.

Used well, TA is a framework for risk management. Used badly, it becomes a source of false confidence.

Candlestick anatomy

Each candlestick summarizes one period of trading with four values — open, high, low, close (OHLC).

• The body spans the open and the close. Conventionally it is colored green or white when the close is above the open, red or black when below.

• The wicks (or shadows) extend to the high and the low, showing the extremes reached during the period.

• The timeframe sets what "one period" means: on a 1-hour chart each candle is one hour; on a daily chart, one day.

The body tells you where the period settled; the wicks tell you where price was rejected. A candle with a long lower wick and a small body near the top means sellers pushed price down and buyers absorbed it before the close. The same shape at the top says the opposite.

A few widely referenced formations:

• Long-wick rejection (hammer, shooting star) — a decisive push in one direction that failed to hold. More meaningful at a level people were already watching.

• Doji — open and close almost equal. Indecision; a pause rather than a signal.

• Engulfing candle — a candle whose body completely covers the previous one, indicating a clear shift in the balance of pressure during that period.

Two cautions that matter more than any pattern. First, higher timeframes carry more weight. A daily candle reflects a full session of participation; a 5-minute candle often reflects noise. Second, a single candle is not a conclusion. Patterns are worth attention when they appear at a level that already matters and are confirmed by what follows — not in isolation.

Support and resistance

Support is a price area where buying has repeatedly appeared and slowed a decline. Resistance is where selling has repeatedly appeared and capped a rally. They exist because market participants remember prices: people who bought at a level defend it, people who wanted to sell there still have orders resting.

Practical points:

• Think in zones, not lines. Price rarely turns at one exact number. Draw a band that covers the wicks and closes of past reactions — often called a supply zone (above) or demand zone (below).

• The more reactions, the more significant — but also the more widely watched, and therefore the more likely to be tested aggressively.

• Round numbers attract activity (USD 100,000 BTC, USD 1 for a small-cap token) because that is where people place orders.

• Roles reverse. Broken resistance frequently becomes support, and broken support frequently becomes resistance.

Break and retest is the most common way traders act on this. Price breaks through a level, then returns to it. If the level holds from the other side, the break is treated as confirmed and the retest becomes a reference point for entry with a nearby invalidation level.

False breakouts are equally common. Price pushes just past a level — triggering the stop orders clustered beyond it — and then reverses. This is why many traders wait for a candle to close beyond a level rather than reacting to the first touch, and why placing a stop at the most obvious round number is often expensive.

Core indicators

Three families cover most of what you need.

Moving averages (SMA and EMA). A moving average smooths price into a single line. The simple moving average (SMA) weights all periods in its lookback equally; the exponential moving average (EMA) weights recent periods more, so it reacts faster and whipsaws more.

Common uses: the direction of the line describes the trend; price above a rising average is a straightforward definition of an uptrend. Widely watched settings are the 50-period and 200-period. Averages often act as dynamic support or resistance — partly because so many participants watch the same ones. Crossovers (the "golden cross" when a faster average crosses above a slower one, the "death cross" for the reverse) get a lot of attention, but they are lagging by construction: they confirm a move that has already happened, and they generate false signals in sideways markets.

Relative Strength Index (RSI). RSI measures the speed and size of recent price changes on a 0–100 scale, most often over 14 periods. Above 70 is conventionally called overbought, below 30 oversold.

The standard beginner error is treating those thresholds as instructions. In a strong trend, RSI can sit above 70 for weeks while price keeps rising — "overbought" describes momentum, not an imminent reversal, and selling every time RSI crosses 70 in a bull trend is a well-known way to exit early. RSI is more useful in two other ways: as a comparison of momentum between similar periods, and to spot divergence — price making a higher high while RSI makes a lower high (bearish divergence) suggests the move is losing force. Divergence signals timing poorly and can persist for a long time before anything happens.

Volume and open interest. Volume is how many units traded in a period. Its main job is confirmation: a breakout on clearly elevated volume reflects real participation, while a breakout on unremarkable volume is more likely to fail. Volume drying up during a trend suggests waning interest; a volume spike into a sharp move can mark either the start of a trend or its exhaustion, which is why volume is read alongside price, never alone.

Open interest (OI) applies to derivatives — futures and perpetual contracts — and counts the total contracts outstanding. Unlike volume, it measures how much money is currently positioned rather than how much changed hands. Read together with price:

High open interest also means more positions available to be liquidated, which is why heavily leveraged markets produce unusually sharp moves in both directions.

Market sentiment gauges

Crypto markets are unusually transparent about positioning, which makes crowd behavior measurable.

Fear & Greed Index. A composite score, typically 0–100, blending volatility, momentum, volume, social activity and dominance. It is used as a contrarian context tool: sustained "extreme fear" often coincides with periods when positioning has already been cleared out, and "extreme greed" with crowded, fragile positioning. It is a reading of mood, not a trade signal — extremes can persist for months.

Funding rates. On perpetual futures, funding is a periodic payment between long and short holders that keeps the contract's price near spot. Persistently high positive funding means longs are paying shorts — the market is crowded long and leveraged. Deeply negative funding means the reverse. Extremes on either side tend to precede sharp moves against the crowded side, because those positions are the easiest to force out.

Long/short ratio. The proportion of accounts or positions on each side at a venue. Useful for spotting one-sidedness, but definitions differ between exchanges, so compare a metric only with its own history rather than across platforms.

Liquidation data. When leveraged positions are force-closed, the resulting market orders push price further in the same direction, triggering more liquidations — a cascade. Large liquidation clusters are why price sometimes travels a long way in minutes with no news. After a large cascade, leverage in the system has been reduced, which changes the market's character regardless of direction.

Used sensibly, sentiment tools answer one question: is the crowd already positioned for the thing I am about to do? They do not answer what happens next.

Putting it together

A workable process is deliberately unexciting:

1. Start on the higher timeframe. Establish the trend on the weekly or daily chart before looking at anything shorter. Most bad trades are lower-timeframe entries against a higher-timeframe trend.

2. Mark the levels that matter — a small number of clear support and resistance zones. If your chart has twenty lines on it, none of them mean anything.

3. Ask what would prove you wrong. Identify the price at which your reasoning is invalid before you enter. If you cannot name it, you do not have a plan.

4. Size the position from that level, not from conviction. Decide the maximum you are willing to lose on the idea, and let the distance to your invalidation level determine the size. This is the step that separates a plan from a hope.

5. Look for confluence, not consensus. Two or three independent signals pointing the same way is useful. Adding indicators until they agree is not analysis.

6. Write down the reasoning. Reviewing your own decisions later is the fastest way to improve, and the only way to tell skill from luck.

Two habits worth protecting: do not move a stop-loss further away because price is approaching it, and do not add to a losing position in the hope of averaging out of it. Both convert a small, planned loss into an unplanned large one.

What technical analysis cannot do

TA reads market behavior. It has nothing to say about a regulatory announcement, a protocol exploit, an issuer's reserves, a delisting, or an exchange outage — and these move crypto markets violently. It performs worst exactly when it is most tempting to rely on it: in thin, low-liquidity assets, where a single participant can create any pattern you like on the chart.

TA is one input. Understanding what you own, how much of it you own, and what you would do if you are wrong, matters more than any chart.

Key takeaways

• Candles show where price settled and where it was rejected. Higher timeframes are more informative; single candles rarely decide anything.

• Support and resistance are zones formed by participant memory. Breaks are confirmed by retests, and false breakouts are common by design.

• Moving averages describe trend and lag by construction. RSI measures momentum, not a reversal date. Volume and open interest confirm or undermine a move.

• Sentiment gauges tell you how crowded a trade already is, not what happens next.

• The most valuable output of TA is not an entry — it is a defined invalidation level, which is what makes position sizing possible.

Disclaimer: This article is provided for general educational and informational purposes only. It is not investment, financial, legal or tax advice, nor a recommendation or solicitation to buy, sell or hold any digital asset, or to adopt any trading strategy. Technical analysis is inherently uncertain: it cannot predict prices, and no method or indicator can prevent losses. Digital assets are highly volatile, and leveraged and derivative products can result in losses exceeding your initial commitment. Past performance is not indicative of future results. Third-party indicators, indices and data sources are referenced for illustration only and are not endorsed. Availability of products and services varies by jurisdiction and eligibility. Please conduct your own research and consider seeking advice from an independent, licensed professional before making any decision.