AxelBase DCA

Wealth building, automated by math.

About the Simulator

The DCA Simulator is a fully client-side, privacy-focused web utility designed to model Dollar-Cost Averaging (DCA) strategies for cryptocurrency or any asset. It enables users to simulate regular weekly or monthly investments over a chosen period using a transparent linear price growth model. All calculations occur directly in the browser—no data is collected, stored, or transmitted to any server. This stateless design, powered by SvelteKit and deployed via GitHub Pages with adapter-static, ensures complete user privacy and seamless sharing of simulation links through URL query parameters.

Dollar-Cost Averaging is an investment approach where a fixed amount is invested at regular intervals, regardless of price. This strategy helps mitigate the impact of volatility by purchasing more units when prices are low and fewer when prices are high, potentially lowering the average cost per unit over time. The simulator implements this concept precisely: for each period, it calculates the current asset price by prorating the user-specified annual growth rate (weekly: divided by 52, monthly: by 12). Units bought are the fixed investment amount divided by that period’s price, accumulating totals for invested capital, units acquired, and final portfolio value.

The tool satisfies three core functional requirements: input collection via a validated form (FR1), accurate client-side computation using a single JavaScript function (FR2), and clear results display with summary metrics and an interactive per-period table (FR3). The results page features live period search with partial matching, table visibility toggle, and one-click CSV export—ideal for long simulations up to 1,000 periods. Summary metrics include total invested, total units (to four decimals), average cost per unit, final price, and final portfolio value, all rounded appropriately for readability.

A deterministic linear growth model was chosen for educational clarity: users can exactly reproduce outcomes (e.g., Sample A: $100 weekly for 52 weeks at $10 initial price and 5% annual growth yields 507.1797 units, $10.25 average cost, and $5,325.39 final value). Zero-growth tests confirm flat-price behavior, while high-growth scenarios demonstrate amplified returns. The simulator supports negative growth rates to model declining markets, helping users understand DCA performance across various hypothetical conditions.

Built as a lightweight static site with Bootstrap 5 styling, the DCA Simulator works offline after initial load and requires no accounts, cookies, or external APIs. It serves as an educational resource to explore investment mechanics transparently and reproducibly.

How to Use

Follow these steps to run accurate Dollar-Cost Averaging simulations and explore results interactively.

1. Enter Investment Parameters

On the home page, input your recurring investment amount (e.g., $100), initial asset price (e.g., $10), and expected annual growth rate (e.g., 5%). Use positive numbers only—the form validates automatically. Defaults are pre-filled for quick testing.

2. Set Frequency and Duration

Choose Weekly or Monthly frequency, then specify the number of periods (e.g., 52 for one year weekly or 12 for one year monthly). Longer simulations (up to 1,000 periods) are fully supported with sub-second performance.

3. Run and Analyze Results

Click “Run Simulation” to navigate to the results page. Parameters encode into the URL for bookmarking or sharing. View the summary card with total invested, units acquired, average cost, final price, and portfolio value.

4. Explore the Interactive Table

Scroll to the per-period breakdown table showing price, units bought, and amount invested for every period. Use the search field for instant filtering (partial matches supported—type “26” to jump to mid-year). Toggle table visibility for quick summary checks.

5. Export and Compare

Download full results (summary + all periods) as CSV for spreadsheet analysis. Modify parameters and run new simulations to compare strategies side-by-side using shared URLs.

6. Privacy and Validation

Everything processes locally—no data leaves your browser. Test edge cases (zero growth, negative rates, high returns) to verify mathematical accuracy against manual calculations.

FAQ

No. The DCA Simulator is strictly educational. It demonstrates mathematical outcomes under a simplified linear growth model and does not constitute investment advice. Results are hypothetical and exclude real-world factors like fees, taxes, slippage, or volatility patterns.

It is the assumed steady yearly percentage increase in asset price, prorated across periods (divided by 52 for weekly, 12 for monthly). This linear model enables clear, reproducible projections—ideal for comparing strategies rather than predicting actual markets.

Linear growth keeps calculations transparent and deterministic, making it easier to understand DCA mechanics and validate results manually. It still effectively illustrates average cost reduction in rising markets while remaining mathematically simple.

Absolutely not. The entire application runs client-side with no cookies, analytics, or server requests beyond loading static assets. Simulation parameters exist only in the URL for sharing and bookmarking purposes.

Calculations use full floating-point precision internally. Display rounding applies two decimals for monetary values and four for units. Verified scenarios (e.g., Sample A) match manual spreadsheet results exactly.

Yes—enter a negative annual growth rate. Later periods will show lower prices, higher units bought, and potentially reduced final value, illustrating DCA behavior in bear markets.

Up to 1,000 periods (approximately 19 years monthly or 10 years weekly) with near-instant computation and smooth table rendering, including search and CSV export functionality.