Calculate units acquired and weighted average cost across purchases.
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
Units per row = amount ÷ price. Average cost = total invested ÷ total units.
Visual explanation
See how the inputs become the result
Capital and cash flowstime and rate→entered modelScenario resultChanging one assumption changes the model—not the marketUnits per row = amount ÷ price. Average cost = total invested ÷ total units.
Read the estimate correctly
Use the result within its boundaries
Purchases of 100 at 10 and 100 at 20 acquire 15 units at average cost 13.33.
Results use only visitor-entered observations. They are descriptive calculations, not forecasts, trading signals, risk guarantees, or investment recommendations.
Quick guide
How to use this calculator
Enter observations in chronological or paired order exactly as the row help specifies.
Keep all return periods, currencies, weights, and value units consistent.
Review the sample, population, quantile, or compounding convention before interpreting the result.
Calculation method
Calculation method
Units per row = amount ÷ price. Average cost = total invested ÷ total units.
Entered fixed decimals are parsed exactly. Statistical square roots and geometric averages are marked approximate and reject undefined or non-finite cases.
Worked example
Worked example
Purchases of 100 at 10 and 100 at 20 acquire 15 units at average cost 13.33.
Units per row = amount ÷ price. Average cost = total invested ÷ total units.
Supported inputs
Precision and limits
Visible input limits
Lists accept 1–2,000 rows. Each fixed decimal accepts at most 30 digits and 12 decimal places and is capped at an absolute value of 1e12. Formula-specific positive, weight, and probability domains are enforced.
International scope
No currency, exchange, benchmark, security, observation frequency, market-data source, or regulatory risk convention is selected automatically.
Decision boundary
Historical and scenario statistics do not predict returns, measure every risk, cap losses, or recommend an investment.
Calculator-specific assumptions
Results use only visitor-entered observations. They are descriptive calculations, not forecasts, trading signals, risk guarantees, or investment recommendations.
