Stellar (XLM)

Rank #19 · RWA · data since 2014-08-05 · last close 2026-10-26

Latest available close Oct 26, 2026 UTCData updated Oct 27, 2026, 02:37 UTCMarket 24/7 · UTC calendar-day close
24h
+0.75%
Rank 1,817 of 4,465
7d
-4.68%
30d
-21.75%
YTD
-15.65%
1y
-48.71%

Stellar (XLM) monthly returns (%)

YearJanFebMarAprMayJunJulAugSepOctNovDec
2026-9.9-12.25.2-5.464.1-27.2-8.93.027.7-25.1··
202524.5-30.8-7.82.7-2.6-9.868.5-12.13.2-16.2-18.7-19.0
2024-14.811.015.7-23.7-1.4-14.110.2-7.96.3-6.1468.2-36.7
202327.6-4.028.8-15.9-1.819.435.7-23.4-2.38.0-2.49.0
2022-25.1-1.015.8-26.2-10.7-25.44.7-11.39.9-3.0-19.2-20.9
2021140.532.3-0.130.6-24.0-29.50.119.3-17.833.6-10.0-20.6
202034.0-6.1-28.465.74.6-5.244.9-0.1-22.62.8163.4-37.1
2019-26.83.525.9-7.233.7-21.9-19.6-25.0-2.46.1-8.6-24.2
201849.6-38.1-38.1105.4-30.1-34.843.7-20.116.9-13.9-29.0-28.9
2017-8.7-23.854.984.1489.6-4.4-46.641.2-37.4123.0143.2395.1
20163.46.56.1-7.7-18.635.1-11.40.855.9-26.0-22.150.7
2015-1.4-43.9-19.05.426.18.2-22.9-6.5-21.813.8-25.32.6
2014·······-37.554.4-48.224.8165.3
Avg16.1-8.94.917.344.1-9.18.2-6.15.46.255.436.3
Median1.0-5.05.7-1.4-1.6-12.02.4-7.93.2-0.1-9.3-19.8

October so far: -25.1% against an average of +6.2% and a median of -0.1% across 12 completed Octobers, 6 of them positive.

Values in %. Current and first-listed months are partial (greyed) and are left out of the Avg and Median rows.

returnsview.com

XLM seasonality — average by calendar month

Stellar has monthly history back to 2014. November carries the highest average at +55.4%, but the median November is -9.3% and only 4 of 12 have finished green: +143% in 2017, +163% in 2020 and +468% in 2024 carry the whole figure. The steadier month is March — positive in 7 of 12 years, median +5.7%, and higher in 5 of the last 9. December is the soft spot, down in 7 of 12 with a median of -19.8%. Across its full record it has closed 44% of months higher, swings ±74.5% in an average month and has fallen 96.5% peak to trough.

MonthJanFebMarAprMayJunJulAugSepOctNovDec
Avg+16.1%-8.9%+4.9%+17.3%+44.1%-9.1%+8.2%-6.1%+5.4%+6.2%+55.4%+36.3%
Win rate50%/1233%/1258%/1250%/1242%/1225%/1258%/1231%/1354%/1350%/1233%/1242%/12

Win rate = share of positive months / sample size.

XLM risk & extremes

Max drawdown
-96.5%
Worst peak-to-trough fall on record
Monthly volatility
±74.5%
Std. dev. of monthly returns
Positive months
44%
Share of completed months in the green
Best month
+489.63%
2017-05
Worst month
-48.19%
2014-10
Longest streaks
4▲ / 5▼
Consecutive up / down months

XLM drawdown & rolling returns

-92%-46%0%

Percent below the all-time high at each month-end — how far underwater the asset was.

Related cryptocurrencies

Compare XLM

Frequently asked questions

What was Stellar's best month?+

Stellar's strongest completed month on record is May 2017, at +489.63%.

What was Stellar's worst month?+

Its weakest completed month on record is October 2014, at -48.19%.

Is Stellar up this year?+

Stellar is down 15.65% year to date, measured from its last close before 1 January.

What is Stellar's 1-year return?+

-48.71% over the past twelve months, comparing the latest close with the most recent close on or before the same date a year earlier.

What is Stellar's biggest drawdown?+

The deepest peak-to-trough fall on record is 96.5%, measured on month-end closes since 2014.

Which calendar month is historically best for Stellar?+

November has the highest average return across every completed November since 2014. An average is not a forecast.

About Stellar

Stellar is a rwa token ranked #19 by market value, worth about $5.9 billion. Cross-border payments with a nonprofit face and a founder with a truly eventful résumé. And the long game: $100 at its first close here (2014) would be about $10,698 today.

Did you know?

  • Founder Jed McCaleb also created Mt. Gox (he sold it before the collapse) and co-founded Ripple.
  • Stellar began in 2014 after McCaleb left Ripple over strategic differences.
  • Its best month on record was May 2017 at +489.63%; its worst, October 2014 at -48.19%.

Trivia for entertainment — the numbers come from our price data; the jokes don't.