Simulate dollar-cost averaging into Ethereum
As of 2026-06-19, a recurring $100/week dollar-cost average into Ethereum (ETH) starting 2015-08-07 would total $56,800 invested and be worth $5,905,117 — a 10296% return. A risk-weighted DCA, which buys more when CycleBottom's risk metric is low and less when it is high, returned 5888% over the same period (4408 percentage points lower). DCA spreads purchases over time to reduce timing risk; risk-weighting tilts those purchases toward historically cheaper prices. Past performance does not guarantee future results. Informational only, not financial advice.
Dollar-cost averaging (DCA) invests a fixed amount on a fixed schedule regardless of price, spreading purchases across many different prices to reduce the risk of buying everything at a peak. This simulator replays your chosen contribution across Ethereum's full price history and reports total invested, final value, average cost, and return.
See the DCA guide and the risk-metric methodology for details.
Investing $100 into Ethereum every week since 2015-08-07 would total $56,800 invested and be worth about $5,905,117 as of 2026-06-19 — roughly a 10296% return with flat (equal-sized) buys.
Risk-weighted DCA scales each scheduled purchase by a multiplier (up to 5×) based on CycleBottom's 0–1 risk metric — buying more in low-risk (accumulation) zones and less in high-risk zones. For Ethereum, this approach returned 5888% versus 10296% for flat DCA over the same window.
Dollar-cost averaging spreads purchases over time so you buy at many different prices, which reduces the risk of buying everything at a peak. Historically, a steady $100/week DCA into Ethereum returned 10296%. This is educational only and not financial advice; past performance does not guarantee future results.
The simulator replays a chosen contribution (amount and frequency) across Ethereum's full price history, optionally multiplying each buy by a risk-based tier, then reports total invested, final value, average cost, and return for both flat and risk-weighted strategies.