The Sandbox SIP Backtest
Daily-close data from 14 August 2020 to 12 October 2026 (74 months). Last updated 12 October 2026.
Quick answer
The Sandbox SIP Backtest — A monthly SIP of $100 in SAND since 2020 grew $7,500 → $2,707
As of 12 October 2026 · Source: SANDUSDT daily closes (Binance)
At the current exchange rate, $100 ≈ ₹9,616 — totals below are USD-denominated so the historical math stays exact.
Total invested
$7,500
Value today
$2,707
Total return
-64%
Annualized (on contributions)
-15.1%
Monthly buys
75
Average buy price
$100.00
| Price | |
|---|---|
| Cheapest buy | $0.03559 |
| Most expensive buy | $6.57 |
About this metric
A Systematic Investment Plan (SIP) is the Indian market's name for the same mechanical idea as DCA: invest a fixed amount every month, no timing decisions. The simulation below invests $100 at the first close of each month — Indian investors can read the totals in INR terms using the current conversion shown, which keeps the math honest instead of assuming today's exchange rate held for the whole history.
Methodology
- Data: daily closes from the SANDUSDT market on Binance (public REST API).
- Window: 14 August 2020 — 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.
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Frequently asked questions
Is a SAND SIP profitable historically?
A $100/month SIP started 14 August 2020 and held to 12 October 2026 returned -64% on $7,500 invested (-15.1% annualized on contributions).
How is this SIP backtest calculated?
Each month's investment buys at that month's first daily close; the holding is valued at the latest close. Fees, taxes (India: 30% flat + 1% TDS on sales) and slippage are not modeled.
SIP vs lump sum — which worked better for SAND?
Check the yearly returns table: years with big early gains favor lump sum; years that started badly favor the SIP's steady buying. The SIP's edge is behavioral — it removes the timing decision entirely.