What the Weighted Moving Average Calculator is for
Calculate a linear WMA that gives newer entered prices more weight.
It makes the prices, cash flows, rates, time periods, weights, and model conventions explicit so you can inspect an entered scenario without hidden live-market assumptions.
Calculation structure
Follow the stated model and units
WMA = Σ(price × chronological weight) ÷ Σweights, with weights 1 through n.
Visual explanation
See how the inputs become the result
Oldest observation→Selected window→Latest statisticOrder and lookback length both affect the resultWMA = Σ(price × chronological weight) ÷ Σweights, with weights 1 through n.
Read the estimate correctly
Use the result within its boundaries
Prices 10, 12, 14 with period 3 produce 12.67.
Weights increase linearly from the oldest to newest selected observation.
Quick guide
How to use this calculator
Enter observations in chronological order and choose the visible period or convention.
Use prices and volumes with consistent units and equally spaced periods where required.
Read the formula and seeding convention before comparing results with another platform.
Calculation method
Calculation method
WMA = Σ(price × chronological weight) ÷ Σweights, with weights 1 through n.
Technical indicators are deterministic transformations of entered historical data. Approximate floating results are explicitly formatted as estimates.
Worked example
Worked example
Prices 10, 12, 14 with period 3 produce 12.67.
WMA = Σ(price × chronological weight) ÷ Σweights, with weights 1 through n.
Supported inputs
Precision and limits
Visible input limits
Lists accept up to 2,000 fixed-decimal rows. Period fields disclose their whole-number limits. Approximate indicators reject observations whose significant differences cannot be represented reliably at their entered scale.
No live market data
The page does not fetch prices, volumes, corporate actions, exchange calendars, or benchmark data. Enter adjusted or unadjusted observations deliberately.
Decision boundary
Indicators describe entered history. They do not predict price direction, identify a suitable trade, measure every risk, or recommend an investment.
Calculator-specific assumptions
Weights increase linearly from the oldest to newest selected observation.
