When I first started looking at crypto charts with actual indicators layered on top, I made the classic beginner mistake: I added every indicator I could find, ended up with a chart so cluttered it was genuinely harder to read than the plain candlesticks underneath, and made worse decisions as a result. The lesson took a while to sink in, but it’s the one I’d pass on first: a handful of indicators you actually understand deeply beats a dozen you’re just glancing at for confirmation bias.
This article assumes you’re already comfortable with the basics covered in how to read Bitcoin’s price using candlestick charts — indicators are built on top of price data, and they make far more sense once you understand what that underlying price action actually represents.
What Technical Indicators Actually Are (and Aren’t)
Every indicator on this list is, mathematically, a derivative of price and/or volume data — calculated using a formula applied to past prices, then plotted alongside or underneath the price chart. None of them contain information the raw price chart doesn’t already technically have. What they do is make certain patterns — momentum, trend strength, overbought or oversold conditions — visually easier to spot than staring at raw candlesticks alone.
This matters for setting expectations correctly: indicators describe what has already happened in a structured way. They are not a crystal ball, and academic research on the standalone predictive power of most popular indicators is, at best, mixed. They’re tools for organizing information you could technically derive yourself, not magic signals that remove uncertainty from trading decisions.
1. Moving Averages (MA)
A moving average smooths out price data by calculating the average price over a specified number of periods, continuously updating as new data comes in. The two most common variants:
- Simple Moving Average (SMA): the plain average of the closing price over the last N periods — for example, a 50-day SMA averages the last 50 daily closes equally.
- Exponential Moving Average (EMA): a weighted average that gives more importance to recent prices, making it react faster to new price changes than an SMA does.
How traders typically use it: when price is trading above a major moving average (commonly the 50-day or 200-day), that’s generally read as a sign of an uptrend; below it, a downtrend. Crossovers between two moving averages of different lengths — a shorter one crossing above a longer one (often called a “golden cross”) or below it (a “death cross”) — are widely watched as potential trend-change signals, though they’re lagging by nature: by the time a crossover confirms, a meaningful part of the move has typically already happened.
2. Relative Strength Index (RSI)
RSI measures the speed and magnitude of recent price changes to assess whether an asset is overbought or oversold, expressed on a scale from 0 to 100. It’s calculated by comparing the average size of recent up-moves to the average size of recent down-moves over a set period, typically 14 days.
How traders typically use it: a reading above 70 is conventionally read as “overbought” — suggesting the price may have moved up faster than is sustainable in the near term — while a reading below 30 suggests “oversold.” Importantly, “overbought” doesn’t mean “about to fall” in any guaranteed sense; in a genuinely strong trend, RSI can remain in overbought territory for extended stretches while price keeps climbing. Many traders find RSI divergence — where price makes a new high but RSI fails to make a correspondingly higher reading — more informative than the raw overbought/oversold threshold alone, since it can signal weakening momentum beneath the surface of a still-rising price.
3. Moving Average Convergence Divergence (MACD)
MACD tracks the relationship between two exponential moving averages of price — typically a 12-period and a 26-period EMA — by plotting the difference between them (the “MACD line”), alongside a 9-period EMA of that difference (the “signal line”). A histogram is often shown alongside, representing the gap between the two lines visually.
How traders typically use it: when the MACD line crosses above the signal line, it’s commonly read as a bullish signal; crossing below, bearish. The histogram’s size gives a sense of momentum strength — a widening histogram suggests strengthening momentum in the current direction, while a narrowing one suggests it may be fading. Like moving average crossovers, MACD signals are inherently lagging, since they’re built entirely from already-realized price moves.
4. Bollinger Bands
Bollinger Bands consist of three lines: a middle band (typically a 20-period SMA) and an upper and lower band set a specified number of standard deviations (usually two) away from that middle line. Because standard deviation measures volatility, the bands themselves widen during volatile periods and narrow during calmer ones — they adapt to changing market conditions rather than staying fixed.
How traders typically use it: price touching or exceeding the upper band is sometimes read as a sign of being statistically extended to the upside (though, similar to RSI, this isn’t automatically a sell signal during a strong trend); touching the lower band suggests the opposite. A notable pattern traders watch for is “Bollinger Band squeeze” — when the bands narrow significantly, indicating unusually low volatility — which has historically tended to precede a sharp move in either direction, without telling you in advance which direction that move will be.
5. Volume
Volume isn’t a calculated indicator in the same sense as the others — it’s raw data, typically shown as a bar chart beneath the price candles, representing how much of an asset was traded during each period. I’m including it because it’s arguably the most underrated tool on this list, and it provides a kind of confirmation the price-derived indicators above can’t offer on their own.
How traders typically use it: a price move on high volume is generally considered more significant and more likely to hold than the same move on low volume, which can suggest a lack of broad conviction behind it. Volume spikes alongside a breakout from a key support or resistance level are often treated as a stronger confirmation signal than the breakout alone. Conversely, a price reaching a new high on noticeably declining volume is a pattern some traders read as a warning sign that the move’s underlying strength may be fading, even while the price itself is still climbing.
Why Combining Indicators Matters More Than Any Single One
Every indicator above is derived primarily from price (and, for volume, raw trading activity), which means they tend to agree with each other more often than genuinely independent signals would. Using two or three indicators that essentially measure overlapping things — say, RSI and MACD, which are both momentum-based — gives you less genuinely new information than combining one momentum indicator with one volatility indicator (like Bollinger Bands) and raw volume confirmation.
A practical combination I’ve found useful: a trend filter (moving averages, to establish overall direction), a momentum check (RSI or MACD, to gauge whether that trend currently has strength behind it), and volume (to confirm whether a given move is backed by genuine participation or thin, unconvincing activity). No combination removes uncertainty entirely — it simply organizes the available information into a more structured read than eyeballing a chart alone provides.
What These Indicators Don’t Tell You
I want to be direct about the limits here, because overselling technical indicators is genuinely common in crypto content, and it does readers a disservice. None of these indicators account for fundamental factors — a regulatory announcement, an exchange hack, a major protocol upgrade — that can move price sharply regardless of what any chart pattern was suggesting beforehand. They’re also all, by construction, lagging to some degree, since they’re calculated from price that has already happened rather than predicting price that hasn’t happened yet.
If you’re using these to inform actual trade decisions, pairing them with the discipline covered in risk management in crypto trading and a clear plan for where you’ll exit — as covered in what is a stop-loss and how to use it on Binance — matters considerably more to your long-term results than which specific indicators you choose to watch.
Final Thoughts
These five — moving averages, RSI, MACD, Bollinger Bands, and volume — cover the overwhelming majority of what shows up on most traders’ charts, and for good reason: between them, they capture trend, momentum, volatility, and conviction, which is a genuinely useful set of lenses on price action. Treat them as exactly that: lenses for organizing what’s already happened, not predictions of what’s coming next. The traders who get the most out of technical analysis tend to be the ones who understand precisely what each indicator is measuring and, just as importantly, what it isn’t — rather than the ones layering on the most tools at once.
This article is for educational purposes only and does not constitute financial or trading advice. Past price patterns do not guarantee future results.