A moving average crossover strategy uses two averages of price, one fast and one slow, and acts when the fast one crosses the slow one. A cross upwards suggests momentum has turned up; a cross downwards suggests it has turned down. It is simple to test, but it lags and gives false signals in sideways markets, so the rules around it matter more than the cross itself.
Quick answer: what is a moving average crossover strategy?
It is a trend-following method that buys when a fast moving average crosses above a slow one and sells or exits when it crosses back below. The 50-day crossing the 200-day is called a golden cross (up) or a death cross (down). It works best in trending markets and needs a stop, an exit rule and a range filter.
How a moving average crossover works
If moving averages are new to you, start with the short section in our guide to the best technical indicators for beginners, which explains simple and exponential averages. Here we build on that and look only at what happens when two of them meet.
The slow average shows the broader trend. The fast average reacts to recent prices, so when price turns, the fast line moves first and eventually crosses the slow line. The cross is the point at which recent prices have shifted enough to pull the short-term average through the longer-term one.
That is also why it lags. Both lines are built from past closes, so the cross always arrives after price has already turned. You give up the first part of a move in exchange for some evidence that the move is real.
Golden cross and death cross
The best-known crossover pairs the 50-day and 200-day simple moving averages. When the 50 crosses above the 200, the press calls it a golden cross; when it crosses below, a death cross. On a major index these crosses make headlines, which is partly why so many beginners treat them as buy and sell calls.
They are not calls. A golden cross on the daily chart of an index often happens weeks after the low, and a market can cross back within days if it is ranging. We read both as a change in the long-term backdrop, a filter for which direction we prefer, rather than as an entry on their own.
Choosing the averages and the timeframe
There is no best pair. Shorter averages react faster and produce more crosses, many of them false; longer averages produce fewer, later crosses. The trade-off is always speed against noise. MACD turns the gap between two averages into one line; see our MACD trading strategy.
| Pair | Typical use | Main drawback |
|---|---|---|
| 9 / 21 EMA | Intraday timing | Many whipsaws, high costs |
| 20 / 50 EMA | Swing trades on 4-hour or daily | Late in fast reversals |
| 50 / 200 SMA | Long-term trend filter | Very late; few signals |
| Price / one average | Simplest trend filter | Crosses constantly in ranges |
Exponential averages weight recent prices more, so they cross a little sooner than simple ones. Pick one pair, one timeframe and stick with it long enough to judge it fairly. If you trade more than one timeframe, our guide to top-down multiple timeframe analysis shows how to let the higher chart set the bias.
Rules for a moving average crossover strategy
A cross on its own is only a trigger. This is the outline we would test before trading it with real money.
- Filter first. Only take long crosses when the slow average is rising and price is making higher highs and higher lows; reverse that for shorts. Our guide on how to identify market structure through highs and lows covers the swing rules.
- Enter on a closed candle. Wait for the candle on which the cross happens to close, so a cross that reverses intrabar does not count.
- Place the stop at structure. Put it beyond the last swing low (for a long), not at the slow average, which moves every bar.
- Size from the stop. Work out the position so the distance to the stop equals a fixed share of the account.
- Define the exit. Either the opposite cross, or a trailing stop under each new swing low. Our trailing stop loss strategy for price action traders compares the options.
This sits inside a wider approach to riding trends; our trend following strategy and its rules for riding trends shows where crossovers fit alongside breakouts and pullbacks.
What the research says about crossovers
Crossovers are not a secret. Levine and Pedersen, writing in the Financial Analysts Journal, showed that moving-average crossovers and time-series momentum are closely related measures of trend, and equivalent in their most general forms. In plain terms, a cross is a way of measuring a trend that already exists, not a forecast.
The edge, where there is one, also changes over time. A 2022 CFA Institute Enterprising Investor study of 50-day and 200-day averages on the S&P 500 found that moving average strategy returns may be down from their 1980s and 1990s heyday, and those figures were before trading costs. That is a reason to test with costs included, not to assume a result.
Worked example: a hypothetical crossover trade
All figures are hypothetical. Example: on a £5,000 account risking 1% per trade (£50), we watch an index on the daily chart with a 20 and 50 EMA. The 50 is rising and price has just made a higher low at 7,330.
- Trigger: the 20 EMA closes above the 50 EMA, with the daily candle closing at 7,450.
- Stop: just under the higher low at 7,330, so 120 points of risk.
- Size: £50 ÷ 120 points = about £0.42 per point on a spread bet.
- Exit: weeks later the 20 closes back below the 50 at 7,690, a gain of 240 points, about £100.
Now the honest part: if the next three crosses were whipsaws stopped out for £50 each, that £100 is gone and more. This is why the win rate of a crossover system is usually low and the size of the winners does the work, as we explain in why win rate matters less than risk to reward. Spread bets are leveraged, so a gap through the stop can lose more than the planned £50.
Common mistakes
- Trading crosses in a range. Flat, tangled averages mean no trend; our range trading strategy for sideways markets suits those conditions better.
- Optimising the lengths until the backtest looks perfect. A 13/47 pair that won on last year’s data rarely repeats; see how to backtest a trading strategy without fooling yourself.
- Using the slow average as the stop. It drifts every bar, so the risk is never fixed.
- Ignoring costs. Fast pairs on short timeframes trade often, and spreads add up.
- Treating a headline golden cross as advice. It is a description of past prices.
Frequently asked questions
Is the golden cross a reliable buy signal?
Not on its own. It confirms that the long-term trend has turned up, but it usually arrives well after the low and can reverse quickly in a range. We use it as a backdrop filter, not an entry.
Should I use EMA or SMA for crossovers?
Exponential averages react sooner and give earlier but noisier crosses; simple averages are slower and smoother. Either works if you test one consistently, with costs, on the market and timeframe you actually trade.
Why does my crossover strategy keep losing in small amounts?
It is probably trading a sideways market, where the averages cross back and forth. Add a filter such as a rising slow average and clear higher highs, or stand aside until a trend develops.
Next steps
If you are still deciding how much to rely on indicators at all, read price action vs indicators for beginners. To build crossover rules into a full method, our guide to systems trading vs discretionary trading is a sensible next read.
Discovering the beginning of new trends and building a rules-based risk model are both part of our price action trading course, and the basics section is free.
This article is for education only and is not financial advice. Trading leveraged products such as CFDs and spread bets carries a high risk of losing money.
