Crypto DCA Backtest Calculator

Frequently Asked Questions

What does this DCA backtest show?

Investing a fixed amount each period: total invested, coins accumulated, average cost, final value, and ROI versus a lump-sum at the start - using the prices or drift you supply.

Does DCA beat lump-sum?

Historically lump-sum wins more often in rising markets, but DCA reduces timing risk and volatility drag - valuable for an asset as volatile as crypto. Past results don't predict the future.

Why is average cost below the simple price average?

Fixed-dollar buying purchases more coins when prices are low and fewer when high, pulling average cost below the arithmetic mean of prices.

Is this a prediction?

No - it is a simplified backtest of inputs you choose. Real outcomes depend on actual price paths, fees, and taxes. Not financial advice.

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Estimates for informational purposes only.

Important Disclaimer: Estimates for informational purposes only.

This calculator provides estimates for informational purposes only. Results are based on assumptions and may not reflect actual outcomes. Consult qualified professionals in relevant fields before making important decisions based on these results.

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How This Calculator Works

This is a backtest, not a growth projector: it replays dollar-cost averaging across a specific historical or hypothetical price path and compares it head-to-head against deploying the same money as a single lump sum on day one. DCA invests a fixed dollar amount each period regardless of price, so each period buys contribution ÷ price coins - mechanically more coins when the price is low, fewer when it is high. The tool computes total invested = contribution × periods, coins = Σ(contribution ÷ price_i), average cost = invested ÷ coins, final value = coins × last price, and ROI = (final value − invested) ÷ invested. It then runs the lump-sum counterfactual: all capital buys at the first period's price, valued at the same final price, so you can see which strategy this particular path rewarded. Paste a real price series (the realistic mode) or generate one from a start price and per-period % drift.

Worked Example

Invest $100 over 3 periods at prices $20,000, $10,000, $25,000. Coins bought: 100÷20000 + 100÷10000 + 100÷25000 = 0.0050 + 0.0100 + 0.0040 = 0.0190. Invested = $300; average cost = 300 ÷ 0.019 ≈ $15,789 - far below the simple price mean of $18,333, because the cheap $10,000 period bought the most coins. Final value = 0.019 × $25,000 = $475 → DCA ROI ≈ +58%. Lump sum: $300 ÷ $20,000 = 0.015 coins → 0.015 × $25,000 = $375 → +25%. Here the mid-period dip made DCA win; on a path that only rose, lump sum would have won by exposing all capital sooner.

Real-World Use

People use this to settle a real decision: "I have $12,000 - deploy it now or spread it over 12 months?" Feeding in actual past prices (e.g., a known bull or bear stretch) shows how each approach actually would have performed on that path, rather than an idealized compound-growth curve. The recurring finding it makes concrete: lump sum tends to win in steadily rising markets because capital is exposed longer, while DCA reduces sequence-of-entry regret and outperforms when the market dips before recovering - and crucially, it surfaces a plan you can psychologically stick to.

Common Mistakes

Reading a backtest as a forecast. A favorable historical path does not repeat; the synthetic-drift mode in particular is illustrative, not predictive.

Cherry-picking the window. Start and end dates dominate the result - ending on a local top flatters every strategy. Test multiple windows.

Ignoring fees. Per-purchase exchange/spread fees shrink the coins bought every single period, dragging real DCA below this fee-free model.

Misreading "average cost". It is dollar-weighted, not the simple mean of prices, and it is not tax cost basis - use a FIFO/lot tool for that.

Stopping during crashes. That is precisely when DCA accumulates the most coins; pausing breaks the strategy that the backtest assumes you followed.

Limitations

Simplified model: no fees, no taxes, perfect fills at the listed period price, equal time spacing, and no rebalancing. The lump-sum benchmark assumes the full amount was available and deployable at period one, which is often not true for someone earning and investing income gradually. Synthetic-drift mode applies smooth constant growth that real crypto never exhibits. Past performance ≠ future results - treat this strictly as an educational backtest, not financial advice or a recommendation of either strategy.

Crypto DCA Backtest Calculator

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