Top Moving Average Periods for Traders

Search Fintrev

Search our guides, reviews and glossary.

There is no single best moving average period, but a small set of periods recurs across charts. For trend direction and major support and resistance, traders lean on the 50-, 100- and 200-day moving averages, with the 200-day treated as the main benchmark, especially when compared with the 50-day. For near-term trend changes, the 5-, 10-, 20- and 50-period averages are the usual choices. On intraday charts, a 10-period average on an hourly chart is a frequently cited guide. Among exponential moving averages, the 12- and 26-period EMAs serve short-term traders, and the 50- and 200-period EMAs serve longer-term investors. Which of these fits you depends on the chart time frame you trade and how long you expect to hold a position.

Matching the period to your time frame

The period you choose should cover a stretch of price history that matches your holding horizon. To get the lookback in clock time, multiply the period by the bar length.

Long-term trend: 50, 100 and 200 days

The longer averages are the standard references for significant support and resistance levels and for the overall direction of a market. Because each new price is only one of 100 or 200 inputs, a single sharp day barely moves the line, which makes these averages less sensitive to temporary swings. The 200-day carries particular weight in stock trading, and professional traders and investors widely use it as a benchmark against which a shorter average, usually the 50-day, is compared.

The 50/200 relationship has its own vocabulary. When the 50-day crosses above the 200-day, the event is often called a golden cross. When it crosses below, it is called a death cross. Traders treat a 50-day that stays above the 200-day as a sign of a bullish trend, and a move below it as a bearish sign. This is the closest thing to a standard two-line setup for flagging a bear market, though it confirms a decline after it has started rather than predicting one.

Near-term trend: 5, 10, 20 and 50 periods

Shorter averages are watched for early clues that a longer trend may be turning. A change in direction on the 10- or 20-day line can show up well before the 200-day reacts. Crossovers between the 50-day and either the 10-day or the 20-day are treated as meaningful signals in their own right.

The 5/10/20 EMA combination stacks three fast lines. When they are ordered 5 above 10 above 20 and all slope upward, short-term momentum is pointing higher. When the order flips, momentum is weakening.

Intraday charts

For day trading, traders frequently plot a 10-period moving average on an hourly chart to guide entries within the session. On very fast charts the same period numbers appear, but their meaning shrinks with the bar length: a 50-period average on a 1-minute chart describes the last 50 minutes. No particular period dominates on 1-minute or seconds-based charts. What matters is whether the lookback is long enough to filter the noise you are trying to ignore. In scalping, a shorter lookback means faster but noisier signals. In forex, the activity level of the trading session also changes how cleanly a short average behaves.

Weekly and monthly charts

Weekly charts use the same logic with longer bars. Since a market week has five trading days, a 40-week average covers roughly the same span as a 200-day average, and a 10-week average roughly matches a 50-day. They are close equivalents, not identical lines, because the weekly version averages only weekly closes and ignores the daily path in between.

Fibonacci periods

Some traders choose periods from the Fibonacci sequence (5, 8, 13, 21, and so on) instead of round numbers. This is a convention for picking parameters. A 21-period line behaves almost exactly like a 20-period line, so the choice matters less than applying it consistently.

How the main types differ

Most moving averages are a form of either the simple or the exponential moving average. Either can be calculated from the close, open, high, low, or a blend of these. Closing prices are the default on most charts.

Simple moving average (SMA)

The SMA adds the prices over the period and divides by the number of periods. Every bar gets equal weight, so a large swing stays in the average at full strength until it drops out of the window. That makes the SMA slow to catch up after sharp moves.

Exponential moving average (EMA)

The EMA gives more weight to recent prices, which pulls the line closer to the current price and makes it turn sooner. The standard weighting factor is 2 ÷ (N + 1), where N is the period:

EMA today = (Price today × k) + (EMA yesterday × (1 − k)), with k = 2 ÷ (N + 1)

For a 10-period EMA, k = 2 ÷ 11, or about 0.18, so the latest close contributes roughly 18% of the new value. The 12- and 26-period EMAs are the two inputs to the MACD indicator, which partly explains why those periods are so widespread among short-term traders. Even an EMA still lags noticeably at long periods.

Double exponential moving average (DEMA)

The DEMA reduces lag further. It is not simply double the EMA. It is calculated as:

DEMA = 2 × EMA − EMA(EMA)

Subtracting the smoothed EMA from twice the EMA strips out part of the lag, putting still more weight on recent data. As a result, DEMA crossovers tend to appear before the equivalent EMA and SMA crossovers. A common way to use the DEMA is with a short and a long line. For example, if a 20-period DEMA falls through a 50-period DEMA, a trader may close long positions or open shorts. When the 20 crosses back above the 50, the trader reverses: enters longs and covers shorts.

For trend direction, the trade-off is speed versus stability. An SMA gives a steadier read with fewer false signals. An EMA or DEMA warns sooner but turns more often. Many traders run both and treat agreement between them as confirmation.

Worked example

Simple moving average, 3 periods. Take three daily values: 5,000, 6,000 and 4,000. The 3-period SMA is (5,000 + 6,000 + 4,000) ÷ 3 = 15,000 ÷ 3 = 5,000. If the next day comes in at 7,000, the oldest value (5,000) drops out and the new SMA is (6,000 + 4,000 + 7,000) ÷ 3 = 5,667.

EMA comparison (hypothetical). Assume a 3-period EMA where k = 2 ÷ 4 = 0.5, and the previous EMA was 5,000. With a new value of 7,000, the EMA becomes (7,000 × 0.5) + (5,000 × 0.5) = 6,000. The EMA moved 1,000 toward the new price, while the SMA moved 667. That gap is the faster response the EMA is chosen for, and it is also why the EMA gets pulled around more by a single unusual bar.

Using a moving average as an exit

A common swing-trading rule is to hold while price stays above a short average and exit when a bar closes below it. The 10-period line is a typical choice. Whether to use the 10 EMA or the 10 SMA comes down to the speed trade-off described above:

• 10 EMA: sits closer to price, so a close below it happens sooner. You keep more of the gain when a move reverses sharply, but you get stopped out more often on ordinary pullbacks.
• 10 SMA: sits further from price in a strong move, so it tolerates deeper pullbacks. You hold longer through noise, but you give back more on a real reversal.

Decide whether the trigger is a close below the line or an intrabar touch, because those rules give different results. Price approaching a moving average is often read as a level where it might stall or reverse, the same idea behind support and resistance. Size the position so the distance to the exit line fits your risk.

Exceptions that change the answer

Choppy markets. Moving averages work best when a market is trending. In a sideways range, price crosses back and forth through the line and crossovers produce repeated false signals, known as whipsaws. A longer period reduces whipsaws but delays every signal.

EMA sensitivity. Because the EMA leans on recent prices, it is more prone to whipsaws than an SMA of the same period. EMA signals often need confirmation from another tool, such as the RSI or price structure on candlestick charts.

Parameter choices. You choose the period, the type, the price input and, for weighted averages, how heavily recent data counts. An inappropriate setting generates false signals, and settings tuned to fit past data may not hold up. No period is more profitable in general than another. Claims that one crossover pair outperforms another depend on the market, time frame and test period behind them.

Lag is permanent. All moving averages look backward. Markets sometimes repeat past behavior, but a trend plotted from past prices may have no relationship to what happens next.

The Bottom Line

Any trader setting up a moving average should pick a period whose lookback matches the chart time frame and expected holding period. Longer periods and simple averages give steadier reads with fewer false signals, while shorter periods and exponential averages warn sooner but whipsaw more in sideways markets. No period is more profitable in general, so applying a chosen setting consistently and confirming signals with other tools matters more than the exact number.