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

RSI Reversion · ETH/USDT

Buy oversold, sell overbought. Works in ranges, gets run over by trends.

Total return
-11.3%
10,000 → 8,868
vs buy & hold
-287.1%
over the same period 275.8%
Max drawdown
77.9%
10,000 → 2,593
Longest underwater
1477
1477 days · 97% of the period
Settings that beat it
1 / 16
of 16 parameter settings tested
Win rate
67%
95% CI 39%–86% · n=12
This lost to simply buying and holding.

Over 2018-01-01 → 2026-09-23 it returned -11.3% while buying once on the first day and never touching it returned 275.8% — 287.1% worse. Across the whole parameter grid, 1 of 16 settings beat the benchmark; the median setting returned -11.3%.

It spent 1477 days below its previous high at the longest stretch — 97% of the whole period under water.

The win rate on this page is not a readable number. With 12 closed trades the 95% confidence interval runs 39%–86% — it spans a coin flip, so the headline 67% cannot be distinguished from chance at this sample size. It is shown because leaving it out would be worse, not because it supports a conclusion.

Price & fills

Equity

account equitybuy & holddashed = starting capital

24 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 (1×) and max drawdown (77.9%) 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
-73.6%-47.7%-13.2% 0.0%19.1% 99.5%173.0%41%

Does it survive its own parameters?

The headline above uses one parameter setting. Here is every setting tested: 16 combinations, median -11.3%, best 461.6%, worst -56.3%. 1 of them beat buy & hold.

Parameter grid

RSI Reversion 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.

buyBelow 20buyBelow 25buyBelow 30buyBelow 35
sellAbove 60131%256%-34%-56%
sellAbove 6565%233%-37%-41%
sellAbove 70104%462%-11%-19%
sellAbove 8046%66%-55%-18%

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

Year by year

Year201820192020202120222023202420252026
Return-59%-5%99%0%1%5%2%-11%-8%
Max DD78%28%17%0%58%11%37%41%36%
Trades111021111

Recent closed trades

ClosedP&L (USDT)Held
2026-08-20 -4110.19 288 bars
2025-05-09 -217.09 69 bars
2024-11-10 +241.89 128 bars
2023-10-24 +579.11 67 bars
2023-01-12 +2523.69 63 bars
2022-08-13 -1395.51 95 bars
2022-03-28 +298.11 79 bars
2020-04-30 +5459.20 48 bars
2020-01-15 +517.11 53 bars
2019-09-20 +467.76 65 bars
2019-02-19 -7223.43 195 bars
2018-04-24 +1727.60 37 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

RSI
RSI = 100 − 100/(1 + RS), RS = avgGain / avgLoss
Averages use Wilder smoothing over n periods

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{"length":14,"buyBelow":30,"sellAbove":70}
Fees0.10% taker + 0.05% slippage, both legs
Starting capital10,000 USDT · long-only spot, no leverage
Rolling test365 bars × 95 start dates
Input hash7dc0704d825cae3b

Other strategies · ETH/USDT

Buy & HoldMartingaleGridDCAMA CrossEMA CrossRSI ReversionMACD CrossBollinger ReversionDonchian BreakoutSupertrendStochastic CrossParabolic SAR