Understanding Moving Averages From MA9 to MA200

What is a moving average?

A moving average is a rolling summary of a selected price field over a chosen number of periods. It smooths short-term variation. When a new period is accepted, the newest observation enters the window and the oldest one leaves.

A simple moving average adds the selected values and divides the sum by the number of observations. Other averaging methods can produce different results, so the average type, price field, timeframe, timezone and treatment of an unfinished period should be disclosed.

MA9 and MA21: faster weekly references

What is the MA9 and how is it obtained?

The MA9 uses a 9-period rolling window. A simple weekly MA9 based on closes adds the latest 9 accepted weekly closes and divides by 9. It can provide a responsive summary of the most recent weekly structure, although that responsiveness can also make it more sensitive to short-lived moves.

What is the MA21 and how is it obtained?

The MA21 uses 21 periods. A simple weekly MA21 based on closes adds 21 accepted weekly closes and divides by 21. Its broader window generally changes more slowly than MA9 and can serve as a second reference for comparing shorter and intermediate weekly paths.

MA50 and MA100: intermediate weekly context

What is the MA50 and what can it show?

The MA50 summarizes 50 periods. For a simple weekly version based on closes, add the latest 50 accepted weekly closes and divide by 50. It can describe an intermediate smoothed path and give a consistent baseline for comparing newer weekly observations.

What is the MA100 and what can it show?

The MA100 uses 100 periods. A simple weekly MA100 based on closes is the sum of 100 accepted weekly closes divided by 100. It includes more history than MA50, changes more gradually and can help place medium-term structure inside a longer weekly context.

MA200: the slowest reference in this group

The MA200 uses a 200-period window. For a simple weekly MA200 based on closes, select 200 accepted weekly closes, add them and divide by 200. Each accepted new week replaces the oldest observation in the window.

Its long window can supply broad context and show the slope of a heavily smoothed weekly series. It remains a historical calculation, not guaranteed support, resistance or a forecast.

How to compare MA9, MA21, MA50, MA100 and MA200

Compare their values, slopes, ordering and relationship with price only when every line uses compatible data and settings. Shorter windows replace old observations sooner, so they tend to respond faster; longer windows retain more history and tend to move more slowly.

The ordering can describe the current structure of the smoothed series. It does not prove that price will continue in the same direction. A daily MA and a weekly MA with the same period count are also not interchangeable because their input observations differ.

A wick below MA200 is not the same as a weekly-close break

In a close-based study, a low below the average does not qualify on its own: the weekly close must also be below it. Consecutive qualifying weekly closes form an episode. The duration counts those weeks, not the hours spent below the line.

Candle-low depth is a separate measure. The linked study defines it as (candle low − MA200) / MA200, expressed as a percentage, and reports the most negative reading within each episode. That value is not a closing return, a fall from a previous peak or a subsequent return.

Check when the average first becomes calculable and whether the latest weekly candle is complete. A price observation during an unfinished week cannot confirm its final weekly close.

Advantages of weekly moving averages

• They reduce the visual influence of intraday and daily variation.
• They provide repeatable references for medium- and long-horizon comparisons.
• Several windows can show how faster and slower summaries differ at the same timestamp.
• They can make broad changes in slope or ordering easier to inspect.

Disadvantages and limitations

• They react after the underlying prices change and can lag rapid moves.
• A current, unfinished weekly value may change before the week is complete.
• Weekly aggregation hides shorter movements visible on daily or intraday data.
• Source, week boundary, price field and average type can change the result.
• Crosses, slopes and price relationships are observations, not guaranteed signals.