Lido DAO DCA Backtest
Daily-close data from 9 May 2022 to 12 October 2026 (53 months). Last updated 12 October 2026.
Quick answer
Lido DAO DCA Backtest — $100/month in LDO since 2022 — $5,400 invested, now $2,540 (-53%)
As of 12 October 2026 · Source: LDOUSDT daily closes (Binance)
At the current exchange rate, $100 ≈ ₹9,647 — totals below are USD-denominated so the historical math stays exact.
Total invested
$5,400
Value today
$2,540
Total return
-53%
Annualized (on contributions)
-15.4%
Monthly buys
54
Average buy price
$100.00
| Price | |
|---|---|
| Cheapest buy | $0.2465 |
| Most expensive buy | $3.35 |
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 LDOUSDT market on Binance (public REST API).
- Window: 9 May 2022 — 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 LDO 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 LDO every month?
Since 9 May 2022, that plan would have invested $5,400 across 54 monthly buys and would be worth $2,540 today — -53% overall.
What average price did a monthly DCA get in LDO?
The simulation's average buy price is $100.00, versus the current price of $0.42.
Does DCA beat lump-sum investing in LDO?
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.