Loopring DCA Backtest
Daily-close data from 12 June 2020 to 1 April 2026 (70 months). Last updated 1 April 2026.
Quick answer
Loopring DCA Backtest — $100/month in LRC since 2020 — $7,100 invested, now $910 (-87%)
As of 1 April 2026 · Source: LRCUSDT daily closes (Binance)
At the current exchange rate, $100 ≈ ₹5,040 — totals below are USD-denominated so the historical math stays exact.
Total invested
$7,100
Value today
$910
Total return
-87%
Annualized (on contributions)
-29.3%
Monthly buys
71
Average buy price
$100.00
| Price | |
|---|---|
| Cheapest buy | $0.01879 |
| Most expensive buy | $2.78 |
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 LRCUSDT market on Binance (public REST API).
- Window: 12 June 2020 — 1 April 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 LRC 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 LRC every month?
Since 12 June 2020, that plan would have invested $7,100 across 71 monthly buys and would be worth $910 today — -87% overall.
What average price did a monthly DCA get in LRC?
The simulation's average buy price is $100.00, versus the current price of $0.02.
Does DCA beat lump-sum investing in LRC?
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.