Blog: DCA Simulator Insights
Privacy-first tutorials on client-side Dollar-Cost Averaging for crypto. Simulate weekly/monthly plans with exact math (e.g., Sample A: $5200 → $5325.39 gain), interactive Bootstrap tables, and stateless URL params. Fully static for GitHub Pages. View source.
What is the DCA Simulator?
Discover how this client-side utility simulates Dollar-Cost Averaging for weekly and monthly crypto investments with linear price growth modeling.
Read Article →How Linear Price Growth Powers Accurate DCA Results
Deep dive into the prorated annual growth formula that calculates per-period prices for realistic weekly/monthly buy simulations.
Read Article →Setting Up Your First Weekly DCA Plan
Step-by-step guide to input parameters like $100 weekly buys over 52 periods starting at $10 with 5% growth—stateless URL-based navigation.
Read Article →Interpreting DCA Metrics: Average Cost vs Final Value
Break down total units acquired, average cost per unit, and portfolio gains from the summary table—validated against Sample A (507.1797 units at $10.25 avg).
Read Article →Filtering & Exporting Long Simulations (520+ Periods)
Master the interactive table: live period search (e.g., "26"), show/hide toggle, and CSV download for edge cases up to 1000 periods under 500ms.
Read Article →Stateless Design for GitHub Pages Deployment
How URL query params (amount=100&frequency=weekly) enable full client-side recompute—no prerender errors, adapter-static build to /docs folder.
Read Article →Validating Results: Zero Growth & High-Return Tests
Reproduce exact outcomes like Sample C ($5200 invested = 208 units at $25 flat) and stress test 100% annual growth for final value accuracy.
Read Article →