Simulating DCA into DOGE
Set the amount per period, the number of periods and a start/end price for Dogecoin (DOGE); the tool buys every period along a linear price path.
The start price is pre-filled with the 0.08938 USDT reference price and the end price defaults to 0.11619 USDT (+30%) — both are editable.
How the DOGE DCA metrics are derived
contribution ÷ price that periodsum of coins bought each periodtotal contributed ÷ coins accumulatedcoins accumulated × end priceWorked DOGE DCA example (linear model)
500 USDT per period across 12 periods with price moving linearly from 0.08938 to 0.11619: 6,000 USDT contributed, about 58,769.110671 DOGE accumulated, average cost near 0.10209 USDT, end value about 6,828.62 USDT and a return of roughly +13.81%.
DCA example table
| End price move | End price | Average cost | End value | Return |
|---|---|---|---|---|
| -20% | 0.0715 | 0.08 | 5,359.5 USDT | -10.68% |
| 0% | 0.0894 | 0.0894 | 6,000 USDT | +0.00% |
| +20% | 0.1073 | 0.098 | 6,566.89 USDT | +9.45% |
| +50% | 0.1341 | 0.1099 | 7,316.75 USDT | +21.95% |
500 USDT per period for 12 periods, price moving linearly from 0.0894 USDT (math model, not historical prices).
Limits of the DOGE linear price model
A straight-line price path is not how DOGE trades — it is meant to explain how averaging works, not to forecast returns. For real prices switch to the DCA backtest tool.
FAQ
How is the average cost of a DOGE DCA plan computed?
Average cost = total contributed ÷ coins accumulated, where coins accumulated = Σ(contribution ÷ period price). Because you buy more DOGE when it is cheap, the average cost usually sits below the midpoint of the start and end prices.
What does 500 USDT per period into DOGE over 12 periods produce?
With price moving linearly from 0.08938 to 0.11619: 6,000 USDT contributed, average cost near 0.10209 USDT, end value about 6,828.62 USDT and a return of roughly +13.81% (math model, fees excluded).