STEADYTRADE
Strategy backtests · past-window simulation, not investment advice
BTC/USDTETH/USDT

Parabolic SAR · ETH/USDT

Flip with the parabolic stop. Always in or out, never neutral for long.

Total return
83.5%
10,000 → 18,348
vs buy & hold
-192.3%
over the same period 275.8%
Max drawdown
88.6%
10,000 → 4,540
Longest underwater
1780
1780 days · 98% of the period
Settings that beat it
7 / 16
of 16 parameter settings tested
Win rate
38%
95% CI 30%–47% · n=121
This lost to simply buying and holding.

Over 2018-01-01 → 2026-09-23 it returned 83.5% while buying once on the first day and never touching it returned 275.8% — 192.3% worse. Across the whole parameter grid, 7 of 16 settings beat the benchmark; the median setting returned 191.7%.

It spent 1780 days below its previous high at the longest stretch — 98% of the whole period under water.

Price & fills

Equity

account equitybuy & holddashed = starting capital

243 fills. Signals are taken on the close and filled at the next open.

A 0% risk of ruin here is a property of the test, not a safety rating. These runs are long-only spot with no borrowed money, so there is no margin call and nothing can force the position closed. The account cannot be wiped out — it gets stuck holding the asset instead. Capital deployed (11×) and max drawdown (88.6%) are the numbers that carry the risk on this page. The same rules run on margin would be a different measurement, and this figure would not stay at zero.

Outcome distribution

A single return is one chosen start date. These are 95 runs of the same rules with the start shifted forward 30 days at a time.

Worstp10p25Medianp75p90BestLosing starts
-64.8%-46.5%-31.9% -7.4%62.9% 239.0%645.4%56%

Does it survive its own parameters?

The headline above uses one parameter setting. Here is every setting tested: 16 combinations, median 191.7%, best 1718.3%, worst 48.4%. 7 of them beat buy & hold.

Parameter grid

Parabolic SAR run across its own parameter range over the full period. The same rules flip from profit to loss depending only on the numbers you picked — which is why a single headline return is meaningless on its own.

step 0.01step 0.02step 0.03step 0.05
max 0.11157%565%547%394%
max 0.21718%83%266%150%
max 0.31718%64%192%54%
max 0.51718%64%192%48%

Hover a cell for trade count and drawdown. “·” = invalid combination (fast ≥ slow).

Year by year

Year201820192020202120222023202420252026
Return-44%2%229%286%-57%31%-31%-40%3%
Max DD72%35%39%31%57%25%50%47%30%
Trades121113141513171611

Recent closed trades

ClosedP&L (USDT)Held
2026-09-16 -919.50 4 bars
2026-09-03 +3646.58 16 bars
2026-08-01 -779.19 5 bars
2026-07-25 +1304.51 22 bars
2026-06-24 -163.76 10 bars
2026-05-13 -503.35 8 bars
2026-04-20 +769.65 18 bars
2026-03-22 +144.21 24 bars
2026-02-24 -1501.75 10 bars
2026-01-21 -2092.95 7 bars
2026-01-13 +848.77 14 bars
2025-12-16 -1319.72 12 bars
2025-12-02 -1530.20 5 bars
2025-10-11 -3425.25 8 bars
2025-09-23 -2895.31 10 bars
2025-08-31 -2806.26 8 bars
2025-08-19 +2606.99 11 bars
2025-08-02 -2965.66 5 bars
2025-07-24 +8994.39 24 bars
2025-06-18 -2525.13 7 bars
2025-06-06 -1126.52 13 bars
2025-05-19 +2701.17 10 bars
2025-05-07 +2184.63 22 bars
2025-03-30 -2419.55 10 bars
2025-02-28 -3354.75 6 bars

What it is

Reference — Glowwiki: 기술적 분석
The definitions and formulas below follow that article. It states its own limit plainly:
“지표 교차를 매매 시점으로 보는 해석이 통용되나, 이는 관행적 해석이며 실제 수익으로 이어지는지는 이 문서에서 다루지 않음.”
That is the question this page answers.

Formulas

SAR step
SARₜ₊₁ = SARₜ + AF · (EP − SARₜ)
AF accelerates from a start value up to a cap as the trend extends

Established

Conventional reading

Listed as convention, not as established fact.

Sources

  1. 기술적 분석 — Glowwiki (ko)
  2. Technical analysis — Wikipedia (en)

Assumptions

Period2018-01-01 → 2026-09-23
Parameters{"step":0.02,"max":0.2}
Fees0.10% taker + 0.05% slippage, both legs
Starting capital10,000 USDT · long-only spot, no leverage
Rolling test365 bars × 95 start dates
Input hash676e2c0f184849eb

Other strategies · ETH/USDT

Buy & HoldMartingaleGridDCAMA CrossEMA CrossRSI ReversionMACD CrossBollinger ReversionDonchian BreakoutSupertrendStochastic CrossParabolic SAR