Algorand DCA Backtest
Daily-close data from 22 June 2019 to 12 October 2026 (88 months). Last updated 12 October 2026.
Quick answer
Algorand DCA Backtest — $100/month in ALGO since 2019 — $8,900 invested, now $5,104 (-43%)
As of 12 October 2026 · Source: ALGOUSDT daily closes (Binance)
At the current exchange rate, $100 ≈ ₹9,633 — totals below are USD-denominated so the historical math stays exact.
Total invested
$8,900
Value today
$5,104
Total return
-43%
Annualized (on contributions)
-7.2%
Monthly buys
89
Average buy price
$100.00
| Price | |
|---|---|
| Cheapest buy | $0.079 |
| Most expensive buy | $2.19 |
About this metric
Dollar-cost averaging (DCA) invests a fixed amount on a fixed schedule regardless of price, removing the stress of timing entries. This simulation buys at the first daily close of every month and values the position at the latest close. It ignores trading fees and taxes, and past performance — especially in an asset with this volatility — does not predict future results.
Methodology
- Data: daily closes from the ALGOUSDT market on Binance (public REST API).
- Window: 22 June 2019 — 12 October 2026; pages recompute at most every 6 hours.
- All figures are calculated by CoinCrypTick from that raw data — nothing is quoted from third parties.
- Not financial advice. Crypto assets are volatile; read the drawdown page before the returns page.
Track ALGO in your dashboard
Free account — alerts, portfolio tracking and historical analytics on this coin and 200+ more.
Frequently asked questions
What if I invested $100 in ALGO every month?
Since 22 June 2019, that plan would have invested $8,900 across 89 monthly buys and would be worth $5,104 today — -43% overall.
What average price did a monthly DCA get in ALGO?
The simulation's average buy price is $100.00, versus the current price of $0.12.
Does DCA beat lump-sum investing in ALGO?
That depends entirely on the entry date — the whole point of DCA is that you don't have to guess. This page shows the mechanical outcome of steady monthly buying; compare it with the yearly returns table to see how lumpy the alternative would have been.