Welcome to our moving average calculator designed to smooth out data fluctuations and identify underlying trends in time-series data.

A retail store tracking its daily sales. Instead of focusing on individual daily fluctuations, the store manager uses a moving average calculator to understand weekly trends:

Daily Sales ($): 1200, 980, 1450, 1100, 890, 1300, 1180
7-day Moving Average = $1,157.14

Moving Average Calculator

YearValue3-Year MA5-Year MA
2022120113.33110.00
2023125120.00115.00
2024130125.00119.00
2025135130.00123.00
2026140135.00127.00
2027150141.67132.00
2028160148.33137.00
2029170155.00143.00

Moving Average Calculation Formula

The moving average formula can be expressed mathematically as:

MA = (P₁ + P₂ + P₃ + ... + Pₙ) ÷ n

Where:

  • MA = Moving Average
  • P = Individual values in the period
  • n = Number of periods

Let’s examine a 5-day moving average calculation:

Day 1: 10
Day 2: 12
Day 3: 15
Day 4: 11
Day 5: 14

5-day MA = (10 + 12 + 15 + 11 + 14) ÷ 5 = 12.4

How to Calculate Moving Average?

Calculating a moving average involves three key steps:

  • Data Collection: Gather sequential data points over your desired time period.
  • Period Selection: Determine the number of periods for averaging.
  • Sequential Calculation: Calculate averages by moving forward one period at a time.

Let’s do a practical example using monthly revenue data:

Months: Jan Feb Mar Apr May Jun
Revenue ($): 5000 5500 4800 6000 5800 6200

# First 3-month MA (Jan-Mar)
MA1 = (5000 + 5500 + 4800) ÷ 3 = 5100

# Second 3-month MA (Feb-Apr)
MA2 = (5500 + 4800 + 6000) ÷ 3 = 5433.33

# Third 3-month MA (Mar-May)
MA3 = (4800 + 6000 + 5800) ÷ 3 = 5533.33

Moving Average Method Examples

Stock Market Analysis

Stock Prices ($): 45.50, 46.20, 45.80, 46.50, 47.00
5-day MA = $46.20

Temperature Monitoring

Daily Temps (°C): 22, 24, 23, 25, 24, 26, 25
Weekly MA = 24.14°C

Sales Performance

Quarterly Sales ($K): 120, 135, 115, 140
Annual MA = $127.5K

What is Moving Average?

A Moving Average is a calculation used to analyze data points by creating a series of averages of different subsets of the full dataset.

Month: Jan Feb Mar Apr May
Visits: 1000, 1200, 950, 1100, 1300
3-month MA: - 1050, 1083.33, 1116.67, 1116.67

What is a 3 Yearly Moving Average?

A 3 Yearly Moving Average specifically calculates averages over three-year periods, ideal for long-term trend analysis.

This method is particularly useful for:

  • Economic indicators.
  • Population growth studies.
  • Climate change analysis.

Example of population growth in a city:

Year: 2018, 2019, 2020, 2021, 2022
Pop.: 50000, 51200, 52500, 54000, 55800

3-year MAs:
2018-2020: 51,233
2019-2021: 52,567
2020-2022: 54,100

References

Federal Reserve Economic Data (FRED) – Economic Research

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