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How to Read Moving Averages: SMA vs EMA and the Golden Cross Track Record

A moving average is an average of past prices, so it always lags. We compare SMA and EMA and look at what measured data shows after golden crosses.

📚 Chart Analysis, Properly From the Start · 10/33· ⏱ About 7min read ·Information updated 2026-09-23

📋 Key facts

Key
A moving average is the mean of the last N closes, so it always trails price
EMA
Gives each new close a weight of α = 2/(N+1) and starts from an SMA
Measured
Daily golden crosses on 10 coins: higher 20 bars later 48.3% of the time, baseline 50.4%
Caution
A cross is the result of price changes that already happened, not their cause

Simple moving average (SMA): the mean of the last N closes

A moving average takes the average price of a set number of recent bars, recalculates it on every bar, and joins the results into a line. The most basic kind, the simple moving average (SMA), adds up the last N closes and divides by N. An SMA20 is the average of the 20 most recent closes including the current bar, and each time a new bar forms, the oldest close drops out. That is why an SMA can move even when the new close has not changed, simply because a large old value has left the window. The value being averaged is usually the close, and the figures in this course and the tools on this site calculate from closes too.

Exponential moving average (EMA): more weight on recent values

The exponential moving average (EMA) is calculated by blending the new close with the previous EMA: EMA = α × current close + (1 − α) × previous EMA, where α = 2/(N+1). For an EMA20, α is about 0.095, so the current close accounts for 9.5% and the previous EMA for 90.5%. The weight of older closes shrinks with every bar but never reaches zero. TradingView uses the SMA of the first N closes as the first EMA value, so values can differ slightly from tool to tool depending on where the calculation started. This is also why several tools on this site load a generous number of bars before calculating.

How much they lag: SMA vs EMA

An average is built from past values, so it always trails price. While price rises at a steady pace, the SMA sits at roughly the price level of (N−1)/2 bars earlier: 9.5 bars back for an SMA20 and 99.5 bars back for an SMA200. The EMA is often said to lag less, but with the same N it falls behind a steady trend by the same distance (mathematically, both lag by (N−1)/2 bars). The difference shows up when the direction changes. The EMA gives the most recent bar about twice the weight the SMA does (9.5% versus 5% for a period of 20), so it turns first, and for the same reason it jumps around more on a single sharp bar.

SMA20EMA20
Illustration: SMA20 and EMA20 calculated on hypothetical prices. While price rises, the two lines nearly overlap; after price turns, the EMA20 peaks and heads down 3 bars earlier (the dots mark each line's peak).

Common periods, and what changes in crypto

Internationally, 20, 50 and 200 are the customary periods, while in the Korean stock market 5, 20, 60 and 120 are. The Korean convention comes from stock-market trading days: 5 days is one week, 20 about a month, 60 about three months and 120 about half a year. Crypto trades every day with no weekends, so 20 daily bars are 20 days, not a month. The period is also a count of bars rather than days, so an SMA20 on a 1-hour chart covers 20 hours (see the article on timeframes). This site's Pro Trading Chart uses SMA 5, 20 and 60, and the Multi-Timeframe Trend Matrix uses EMA20 and EMA50. There is no evidence that any particular period is the right one; the fact that many people watch the same numbers is closer to the reason those numbers stay in use.

Golden crosses, death crosses and bullish or bearish alignment

When a shorter-period line crosses a longer-period line from below, it is called a golden cross; when it crosses from above, a death cross. Traditionally the terms refer to the 50-day and 200-day lines crossing, and in Korea crosses of the 20-day and 60-day lines are also widely watched. For a cross to happen, the average of recent prices has to overtake the average over a longer period, so a golden cross usually appears only after price has already climbed a good way off its low. In the figure below, too, the close on the crossing bar is already about 20% above the low.

LowGolden crossSMA20SMA50
Illustration: SMA20 and SMA50 calculated on hypothetical prices. Before the cross the SMA50 is on top (bearish alignment), after it the SMA20 is on top (bullish alignment), and the close on the crossing bar is about 20% above the low.
  • Golden cross: the short line crosses the long line from below
  • Death cross: the short line crosses the long line from above
  • Bullish alignment: shorter lines above longer ones in order, like the 5-, 20-, 60- and 120-day lines from top to bottom
  • Bearish alignment: the long lines on top and the short lines below

Measured: what actually happened after golden crosses

For this course, we took 29,946 daily bars of 10 coins on Binance (BTC, ETH, BNB, XRP, ADA, DOGE, LTC, LINK, TRX and SOL, each from its Binance listing date to September 2026), found every bar where the SMA50 crossed above or below the SMA200, and compared the prices that followed with a baseline measured over all bars. The share of cases where the close 20 bars later was higher was 48.3% after golden crosses, slightly below the baseline, and 56.8% after death crosses, which was actually higher. On BTC 4-hour bars, looking 30 bars (5 days) ahead reversed this: golden crosses were followed by a higher share than the baseline and death crosses by a lower one. Looking 6 bars (one day) ahead, though, the result went the same way as on the daily bars. Even with all 10 coins combined, each type of cross occurred only around 90 times, and because the coins move together, these are not independent cases either. The direction changed with what was measured and over what horizon, so 'price rises after a golden cross' was not confirmed in this data.

  • Baseline (all bars, 20 bars later): up 50.4%, median +0.15%
  • 87 golden crosses: up 48.3%, median −0.55%
  • 88 death crosses: up 56.8%, median +3.13%
  • 59 BTC 4-hour golden crosses: 47.5% after 6 bars (baseline 52.0%), 59.3% after 30 bars (baseline 52.8%)

Why moving averages look like support and resistance

In an uptrend, you often see price pull back to a moving average and then rise again. The average sits roughly in the middle of recent prices, so it is mathematically natural for a pullback to reach its neighborhood, and orders may also gather near a line that many people watch, such as the 200-day. But with the 5-, 20-, 60-, 120- and 200-day lines all on the chart, there is almost always some line near price. Bounces off a line stick in memory while clean breaks through it are easily forgotten, which makes the lines feel more reliable than they are (see the article on the limits of chart analysis). Treating the area as a zone with some width rather than a single line leads to fewer mistakes (see the article on support and resistance).

A common misconception: the cross moves the price

Saying price rises because a golden cross appeared gets the order backwards. A moving average is calculated from price, so a cross is a late confirmation of a price change that has already happened, and the cross itself carries no information that was not already in the price. In a sideways market, where price moves back and forth within a range, the two lines tangle and crosses repeat at short intervals; following them means getting in late and watching price reverse, again and again (see the article on sideways markets). You can check how a crossover rule did in the past with the historical performance in the Golden & Death Cross Scanner or with the Crypto Strategy Backtester, fees included, but those results do not guarantee the future either.

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