Polygon SIP Backtest
Daily-close data from 13 September 2024 to 12 October 2026 (25 months). Last updated 12 October 2026.
Quick answer
Polygon SIP Backtest — A monthly SIP of $100 in POL since 2024 grew $2,600 → $1,770
As of 12 October 2026 · Source: POLUSDT daily closes (Binance)
At the current exchange rate, $100 ≈ ₹11,785 — totals below are USD-denominated so the historical math stays exact.
Total invested
$2,600
Value today
$1,770
Total return
-32%
Annualized (on contributions)
-16.3%
Monthly buys
26
Average buy price
$100.00
| Price | |
|---|---|
| Cheapest buy | $0.07124 |
| Most expensive buy | $0.603 |
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 POLUSDT market on Binance (public REST API).
- Window: 13 September 2024 — 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 POL SIP profitable historically?
A $100/month SIP started 13 September 2024 and held to 12 October 2026 returned -32% on $2,600 invested (-16.3% 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 POL?
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.