Signal-only research · No auto-trading · Not financial advice

20-Day Breakout + 10-Day Trailing Stop

Daily scan for new 20-day highs (long) and lows (short), ranked by volatility-normalised strength, at most 5 positions per side, exit on a 10-day trailing stop. 5 years of data (2021-08 → 2026-08): 43 Bybit USDT perps, 97 US stocks, 38 index ETFs, 18 commodity ETFs, net of fees, slippage and funding.

0 · Audit corrections 2026-09-28

The first published version of these results was materially overstated. The engine and metrics were fixed and everything below was regenerated:

Headline (crypto)Published beforeNow · 43 coinsNow · 16 listed by 2021
BASE 20/10 · net sum of trade returns+2,098%+1,502%+738%
BASE 20/10 · account equity after 5y (1% risk)×2.84×2.19×1.62
BASE 20/10 · CAGR+23.2%+17.0%+10.1%
BASE 20/10 · max drawdown19.0% (closed trades)23.1% (MTM)20.5% (MTM)
BASE 20/10 · MC P(profit)96.9%94.3%84.2%
CHAND4 40/15 · account equity after 5y×6.48×2.40×2.26
CHAND4 40/15 · CAGR+45.3%+19.2%+17.7%
Bottom line: a trend-following edge on crypto perps survives the fixes, but it is roughly half of what was published, it depends heavily on 2023 and 2025, and the "optimised" chandelier variant is not reliably better than simpler settings.

1 · Historical Backtest 5Y · 2021-08 → 2026-08 · NET

20-day breakout, 10-day trailing stop, max 5 open positions per side. Net sum = equal-weight sum of per-trade % P&L after 21 bps round-trip and funding — a trade-edge metric, not an account return. CAGR / MTM DD = the daily mark-to-market account at 1% risk per trade.

Asset classTradesGross sumNet sumFundingPFCAGRMTM DDVerdict
Crypto-perps · 43 (2026 top-volume)1,227+1,875%+1,502%-116%1.33+17.0%23.1%EDGE
Crypto-perps · 16 listed by 20211,020+1,038%+738%-86%1.23+10.1%20.5%WEAK
Stocks (US)1,349+385%+102%—1.04-1.5%34.0%NONE
Index ETFs1,074-26%-252%—0.75-9.4%41.0%NONE
Commodity ETFs1,174-381%-627%—0.73-11.4%55.9%NONE
Only crypto shows an edge, and on the 16 coins that existed at the start it is about 60% of the full-universe figure. Stocks are roughly flat; index and commodity ETFs lose money. Verdict = EDGE when CAGR > 0 and ≥ 90% of daily-bootstrap sims are profitable.

2 · Monte Carlo — Trade-Edge Distribution 10,000 SIMS · NET

Block-bootstrap of the realised net trade list, summed at equal weight. This measures how robust the per-trade edge is to resampling — not account returns (see §3). It only resamples in-sample trades, so it cannot capture selection bias or regime change.

Asset classSum P5Sum P50Sum P95P(sum > 0)
Crypto-perps · 43 (2026 top-volume)-150%+1,471%+3,382%93.0%
Crypto-perps · 16 listed by 2021-687%+691%+2,461%78.0%
Stocks (US)-437%+98%+740%60.9%
Index ETFs-458%-256%-28%3.5%
Commodity ETFs-1,182%-641%-15%4.5%
All combined (excl. early subset)-966%+811%+2,864%76.1%

3 · Account-Level Results MTM · 1% RISK / TRADE · NET + FUNDING

A single account holds every open position at once, sized so the initial stop risks 1% of equity (notional capped at 25% of equity), marked to market daily. The Monte Carlo block-bootstraps that account's daily returns (20-day blocks, 10,000 sims).

Crypto 43 · CAGR

+17.0%
Equity after 5y×2.19
Max DD (MTM)23.1%
MC CAGR P5 → P95-0.6% → +38.1%
P(profit)94.3%

Crypto 16 (early) · CAGR

+10.1%
Equity after 5y×1.62
Max DD (MTM)20.5%
MC CAGR P5 → P95-5.5% → +27.8%
P(profit)84.2%

Stocks · CAGR

-1.5%
Equity after 5y×0.93
Max DD (MTM)34.0%
MC CAGR P5 → P95-8.6% → +8.2%
P(profit)43.1%

CAGR distribution (5th / 50th / 95th percentile)

Asset classTradesEquity ×5yCAGRMTM DDPeak grossMC P5MC P50MC P95P(profit)MC DD P50
Crypto-perps · 43 (2026 top-volume)1,227×2.19+17.0%23.1%1.1×-0.6%+16.3%+38.1%94.3%27.0%
Crypto-perps · 16 listed by 20211,020×1.62+10.1%20.5%0.9×-5.5%+9.4%+27.8%84.2%29.4%
Stocks (US)1,349×0.93-1.5%34.0%1.6×-8.6%-0.9%+8.2%43.1%25.2%
Index ETFs1,074×0.61-9.4%41.0%2.2×-15.2%-9.2%-2.4%1.5%43.3%
Commodity ETFs1,174×0.55-11.4%55.9%1.8×-20.1%-11.7%-1.6%2.8%53.6%
One account, all classes4,824×0.68-7.5%64.9%4.5×-25.8%-7.7%+16.3%28.6%61.8%
Even the full crypto universe has a 5th-percentile CAGR around zero, and trading every asset class in one account loses money — the stock/ETF books dilute the crypto edge and add drawdown.

4 · Parameter Sensitivity CRYPTO · NET · MTM ACCOUNT

30 lookback × trail combinations, sorted by account CAGR (top 8 + the 20/10 spec in bold). 30/30 are profitable on the 43-coin universe and 29/30 on the 16 early coins — the edge is broad rather than a single point. Picking the top row is still in-sample; see the walk-forward in §6.

43 coins (2026 top-volume)

LookbackTrailTradesNet sumPFCAGRMTM DD
3015930+2,000%1.56+28.1%26.7%
4015829+2,015%1.63+26.8%25.2%
20151,094+1,778%1.43+22.5%26.4%
10201,234+1,396%1.31+20.9%27.0%
4020790+2,004%1.67+20.9%31.6%
4010914+1,669%1.49+20.4%20.4%
3020877+1,907%1.57+19.8%28.7%
4030690+2,019%1.75+19.8%27.6%
20101,227+1,502%1.33+17.0%23.1%

16 coins listed by 2021

LookbackTrailTradesNet sumPFCAGRMTM DD
4015644+1,329%1.65+15.6%22.7%
5515526+1,392%1.81+14.9%19.6%
4010694+1,242%1.57+13.9%19.6%
5510568+1,318%1.73+13.7%16.0%
3015762+1,001%1.42+11.6%23.5%
2015946+821%1.27+11.1%23.0%
3010805+1,023%1.41+10.9%21.4%
15101,140+814%1.23+10.5%21.9%
20101,020+738%1.23+10.1%20.5%

5 · Yearly & Long/Short CRYPTO 43 · 20/10 · NET TRADE SUMS

YearTradesNet sumWin ratePFLongs (n · net)Shorts (n · net)
2021*69-168%8.7%0.4139 · -141%30 · -27%
2022212-183%19.3%0.75107 · -361%105 · +178%
2023189+815%23.8%2.6392 · +820%97 · -4%
2024282+127%14.9%1.12155 · +341%127 · -214%
2025252+824%19.4%1.74142 · +753%110 · +72%
2026*223+86%17.5%1.10115 · +83%108 · +3%
SideTradesShareNet sumP&L shareWin ratePFAvg R
LONG65053.0%+1,495%99.5%16.9%1.54+0.13R
SHORT57747.0%+7%0.5%19.4%1.00+0.02R

Yearly net sum by side

* partial years. Results are concentrated: 2021–22 lose money and most of the P&L comes from 2023 and 2025.

6 · Exploration Tests CRYPTO · NET · MTM

  • A2 take-profit — on 20/10, no TP: CAGR +17.0%, DD 23.1%, Calmar 0.73; best TP (5R): CAGR +18.7%, DD 16.1%, Calmar 1.16. With mark-to-market drawdowns, a far take-profit trims drawdown more than return, reversing the earlier "TP never helps" conclusion — but this is one more in-sample grid.
  • B8 chandelier 4×ATR on 40/15 — 43 coins: CAGR +19.2%, DD 23.9%, Calmar 0.80 vs base CAGR +26.8%, DD 25.2%, Calmar 1.06. 16 coins: CAGR +17.7%, DD 22.4%, Calmar 0.79 vs base CAGR +15.6%, DD 22.7%, Calmar 0.69. Lower multipliers (2–3×) are much worse. No consistent advantage.
  • B6 ATR initial stop (now a real stop) — a tighter stop means a bigger position at 1% risk: 1.5× ATR gives CAGR +45.6%, DD 38.7%, Calmar 1.18. Calmar barely moves: it is a leverage dial, not an edge.
  • C12 concentration — TOP10 40/15: 43 coins CAGR +37.2%, DD 25.9%, Calmar 1.43, 16 coins CAGR +16.7%, DD 27.4%, Calmar 0.61. TOP3: CAGR +15.2%, DD 21.9%, Calmar 0.69. The TOP10 edge does not carry to the early universe.
  • C14 BTC-correlation cap — cap 1: CAGR +4.1%, DD 10.3%, Calmar 0.40 vs base 20/10 CAGR +17.0%, DD 23.1%, Calmar 0.73. Cuts drawdown by cutting return.
  • E20 walk-forward (43 coins) — choosing the best train-window Calmar each year (W1=CHAND4 40/15, W2=BASE 40/10, W3=BASE 40/10) compounds to ×2.11 over the 3 test years, vs ×2.46 for the untuned BASE 20/10. Parameter selection does not add value out-of-sample.
  • E20 walk-forward (16 early coins) — choosing the best train-window Calmar each year (W1=CHAND4 40/15, W2=CHAND4 40/15, W3=BASE 40/10) compounds to ×1.73 over the 3 test years, vs ×1.87 for the untuned BASE 20/10. Parameter selection does not add value out-of-sample.
Direction: the plain breakout on crypto perps, long-biased, with no parameter tuning beyond the spec until a forward test says otherwise. Details on the chandelier re-evaluation page.

7 · Methodology & Caveats READ ME