Real price history
The calculation uses historical monthly observations for the selected asset rather than a constant assumed return.
Historical market data
Historical market data
Test an investing strategy on real historical prices. Choose an asset and period, then compare DCA, Constant Share and Value Averaging across the same market history.
What it does
A standard forecast asks you to enter an expected return. The historical scenario instead loads monthly prices for the selected asset and applies the same investing rules to that real period.
The calculation uses historical monthly observations for the selected asset rather than a constant assumed return.
Test cryptocurrencies, popular stocks, broad-market ETFs, gold and bonds.
All three strategies run through the same period, making their results easier to compare under identical market conditions.
The scenario can include fees, dividend adjustment for stocks and ETFs, and an inflation view.
How to use it
For example Bitcoin, Ethereum, the S&P 500 through VOO or SPY, Nasdaq-100, gold or an individual stock.
Use a preset 1, 3, 5 or 10-year horizon or select custom start and end months.
Enter starting capital, operation amount and frequency, fees and other scenario assumptions.
Set units per operation for Constant Share and the target-value rules used by Value Averaging.
Review portfolio value, cash flows, profit, IRR, risk and strategy paths across the same period.
Example scenario
Select one asset and one historical window, apply a common investment plan and see how DCA, CS and VA behave differently.
A historical test shows what would have happened in a selected past period. It does not tell you which strategy must perform best in the future.
Three strategies
Invests a chosen amount at regular intervals. The number of units purchased changes as the asset price changes.
Buys a fixed number of asset units per operation, so the cash amount spent changes with the market price.
Follows a target portfolio-value path and adjusts the operation size according to the gap between the portfolio and that target.
Backtests are sensitive to the selected asset, period, fees and strategy rules. Strong past results do not guarantee similar future results.
Questions
No. The historical scenario applies selected rules to past market data. Use the standard forecast mode for assumption-based future projections.
The calculator includes Bitcoin, Ethereum and other cryptocurrencies, S&P 500 and Nasdaq-100 ETFs, broad-market ETFs, gold, bond ETFs and popular stocks.
Yes. Dividend adjustment can be enabled for stocks and ETFs. It does not affect cryptocurrencies.
Using the same sequence of prices makes differences in the outcome more attributable to the investing rules themselves.
InvestmentCalc tools
Move from recurring-investment planning to compound growth, financial goals, average-price calculations and real portfolio tracking with connected tools.
Track stocks, ETFs, crypto and cash while separating asset gains/losses from currency effects.
OpenModel recurring purchases, contribution frequency, expected returns, fees and inflation.
OpenSee how time, return assumptions and recurring contributions can affect capital growth.
OpenEstimate the monthly contribution needed to reach a target amount within a chosen time horizon.
OpenCalculate a new average after additional purchases or the amount needed to reach a target average.
OpenTrack important macro releases and events that may matter to your investment portfolio.
OpenTest the history
Choose an asset and period, set the investing rules and compare DCA, Constant Share and Value Averaging on real market history.