Crypto course · Section 3: Reading the Market
Moving Averages, RSI and ATR: Key Crypto Indicators and Their Limits
How moving averages, RSI and ATR are calculated, how traders use them for trend, momentum and stops, and why every indicator lags.
Intermediate6 min read·6:43 video·Lesson 11 of 26·quiz: 4 questions
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Moving averages smooth out price to show the trend, the RSI (Relative Strength Index) measures how strong recent gains are compared with recent losses on a 0-100 scale, and the ATR (Average True Range) measures how far price typically moves per candle. They are useful for filtering trades and setting stops, but every indicator is calculated from past prices, so it lags behind the market and none of them predicts the future on its own.
Moving averages
A simple moving average (SMA) is the average closing price over the last N candles. Each new candle adds a price and drops the oldest.
Example
The last five daily closes are 100, 102, 101, 105 and 107. The 5-day SMA = (100 + 102 + 101 + 105 + 107) / 5 = 515 / 5 = 103. Tomorrow, if the close is 110, the oldest value (100) drops out: (102 + 101 + 105 + 107 + 110) / 5 = 105.
An exponential moving average (EMA) gives more weight to recent prices, so it reacts faster but also gives more false signals.
Common uses:
- Trend direction: price above a rising 50-day or 200-day average suggests an uptrend.
- Regime filter: the 200-day moving average is widely used as a dividing line. Many systems, including the Regime Trend setup, only take long trades in altcoins while Bitcoin is above its 200-day average.
- Crossovers: when a faster average crosses above a slower one (for example 50 above 200, the "golden cross"), some traders treat it as a trend change; the opposite is a "death cross".
- Dynamic support: in strong trends, pullbacks often stall near the 20-day or 50-day average.
The weakness is lag. A 200-day average reacts slowly, so crossovers arrive well after the turn. In sideways markets, price chops back and forth across the average, producing a series of small losing signals called whipsaws.
RSI: momentum on a 0-100 scale
The RSI was developed by J. Welles Wilder and is usually calculated over 14 periods:
RS = average gain / average loss and RSI = 100 - 100 / (1 + RS)
Example
Over the last 14 days, the average gain on up days was $300 and the average loss on down days was $150. RS = 300 / 150 = 2. RSI = 100 - 100 / (1 + 2) = 100 - 33.3 = 66.7. Gains have been twice as strong as losses.
How traders read it:
- Above 70: "overbought", strong recent gains. Below 30: "oversold", strong recent losses.
- Divergence: price makes a new high but RSI makes a lower high, suggesting momentum is fading.
- Trend confirmation: in uptrends RSI tends to stay between about 40 and 80; in downtrends between about 20 and 60.
Risk
"Overbought" does not mean "about to fall". In strong crypto trends RSI can stay above 70 for weeks while the price doubles. Shorting a coin just because RSI is high is one of the most common beginner mistakes. Treat extreme RSI as a sign of strength or weakness, not a reversal signal.
ATR: how much does it really move?
The true range of a candle is the largest of three values:
- Today's high minus today's low.
- The gap between today's high and yesterday's close.
- The gap between today's low and yesterday's close.
ATR is the average true range over usually 14 candles. It includes gaps, so it captures real movement better than high-minus-low alone.
Example
BTC trades at $60,000 and its 14-day ATR is $1,800, so it typically moves about 3% per day. A stop 2 ATR below entry sits $3,600 away, at $56,400, a distance of 6%. A small altcoin at $1.00 with an ATR of $0.08 moves about 8% per day; the same 2 ATR rule puts its stop $0.16 away, 16% below entry.
Why ATR matters:
- Stops based on volatility: a stop inside normal daily noise will be hit by random movement. An ATR-based stop adapts to each coin and to quiet or wild periods.
- Position size: a coin with a wider stop gets a smaller position, so every trade risks the same amount of money. You will do this with real numbers in Position Sizing and the 1% Rule.
- Comparing coins: ATR as a percentage of price shows which coins are calm and which are wild.
Indicator summary
| Indicator | Measures | Good for | Main weakness |
|---|---|---|---|
| SMA / EMA | Average price | Trend direction, regime filter | Lags; whipsaws in ranges |
| RSI | Strength of gains vs losses | Momentum, divergence | Stays extreme in trends |
| ATR | Typical movement per candle | Stops, position size | Says nothing about direction |
| Volume | Participation | Confirming breakouts | Unreliable on some exchanges |
The limits of all indicators
- They are all made from the same price data. Adding five more indicators does not add five new pieces of information; it mostly repeats the same one.
- They describe the past. An indicator can tell you the trend has been up, not that it will continue.
- Optimising settings is a trap. If you try every RSI length from 5 to 30 and pick the one that looked best last year, you have probably fitted noise. This is called overfitting; see How to Backtest a Crypto Trading Strategy.
- Default settings are fine. The 14-period RSI and ATR, and the 20, 50 and 200 averages, are popular because they are simple and widely watched, not because they are magic.
Putting it together
A clean, testable structure uses one tool per job:
- Filter: only trade long when Bitcoin closes above its 200-day average.
- Trigger: enter when the coin closes at a new 20-day high (a breakout).
- Stop: place it 2 ATR below the entry, or at a structural level.
- Size: risk a fixed 1% of the account per trade.
Each rule is precise enough to test on past data. That precision is what separates a strategy from an opinion.
Tip
Remove every indicator from your chart except one moving average and volume. Trade on paper for two weeks. Add a tool back only if you can say exactly what decision it changes.
Next, look beyond the price chart in On-Chain and Sentiment Analysis.
Key takeaways
- Moving averages smooth price to show trend; the 200-day average is a widely used line between bull and bear regimes.
- RSI compares average gains with average losses on a 0-100 scale; in strong trends it can stay above 70 or below 30 for weeks.
- ATR measures typical movement per candle and is one of the best tools for setting stop distance and position size.
- All indicators are calculated from past prices, so they lag and cannot predict; stacking many of them adds confusion, not edge.
- Combine one trend filter, one entry trigger and an ATR-based stop, then backtest the rules before trusting them.
Quiz: check what you learned
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⚠ Not financial advice — educational signals only. Read the disclaimer.