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

Optimised Strategy — 20-Day Breakout + Chandelier Trail

The best configuration found by systematic testing: 40-day lookback, 15-day trail, 4×ATR chandelier trailing stop, crypto-perps only. Validated out-of-sample by walk-forward analysis. Backtested on 5 years of real data (2021-08 → 2026-08), net of 21 bps round-trip costs.

1 · How It Works MECHANICS

Why it wins: the original 10-day trail exits on ordinary pullbacks, so it catches many small wins and a few big ones (17% win rate). The 4×ATR chandelier ignores pullbacks smaller than 4× daily volatility — it only exits on a structural reversal. Result: 41% win rate and the winners run ~3× longer, more than doubling the per-trade edge (LONG avg R +0.49 vs +0.11).

2 · Results vs the Original 5Y · NET · 21 BPS RT

ConfigTradesNet retWin ratePFAvg RAccount maxDD
Original 20/10 trail1,726+2,098%17.3%1.33+0.0719.0%
Optimised 40/15 chandelier 4×ATR772+3,911%41.1%1.53+0.2733.8%
TOP3 concentration variant1,119+2,905%16.3%1.68+0.1411.8%
Trade-off: +86% more return (+3,911 vs +2,098%) at the cost of ~1.8× the account drawdown (33.8% vs 19.0%) and ~55% fewer trades (772 vs 1,726). At constant 1% risk per trade, the optimised version compounds ×6.48 over 5y (+45.3% CAGR) vs ×2.84 (+23.2%) for the original — and the longer holds mean far less trading effort.

3 · Compounded Account Result 1% RISK / TRADE · NET

Each trade sized as a constant 1% of equity risked, compounded via net R-multiples — what a real low-leverage account following the strategy would have seen. 10,000 block-bootstrap sims.

Actual 5y (1% risk)

+45.3% CAGR
Equity after 5y×6.48
Max DD33.8%

MC distribution

+44.3% CAGR P50
P5 → P95+11.4% → +98.5%
Equity P5 / P50 / P95×1.7 / ×6.3 / ×30.9
P(profit)99.3%

Drawdowns

24.4% P50
MC maxDD P9036.0%
Trades772
At 1% risk/trade, even the 5th-percentile outcome is +11.4% CAGR and 99.3% of sims are profitable. The max drawdown is real (24–36%) — this is a higher-octane configuration than the original, and sizing can be dialled down (0.5% risk ≈ half the DD) if that's preferred.

4 · Long vs Short FULL PERIOD · NET

SideTradesNet retWin ratePFAvg R
LONG405+4,137%38.3%2.07+0.49
SHORT367−226%44.1%0.94+0.02
The optimised version makes the long/short asymmetry louder: longs contribute all the P&L (PF 2.07, avg R +0.49) while shorts are a net drag (−226%). A long-only variant (dropping shorts entirely) is the obvious next refinement — expect roughly the long column's +4,137% with ~half the trades and much lower drawdown.

5 · Breakdown by Year NET

YearTradesNet retWin ratePF
2021*22+11%59.1%1.07
2022116−260%31.0%0.78
2023138+1,810%45.7%2.85
2024163+688%41.7%1.39
2025175+1,199%41.7%1.65
2026*158+464%40.5%1.32
(* partial windows of the 2021-08 → 2026-08 data.) Same regime pattern as the original: 2022 (bear) is the only losing year, 2023 is the monster year (+1,810%). The optimised version is profitable in 5 of 6 years and shows a higher win rate in every year than the original's ~17%.

Yearly net return — original vs optimised

Original 20/10 Optimised 40/15 chandelier

6 · Walk-Forward Validation OUT-OF-SAMPLE

Expanding windows: train on earlier years, then measure the config on the unseen following year. If an improvement only shows in-sample, it's curve-fitting; here the chandelier variant beats the baseline out-of-sample in every window.

Window (test year)Optimised OOS netBase 40/15 OOS netOptimised OOS PFBase OOS PFOptimised OOS win
W1 (2023-08 → 2024-08)+2,119%+1,515%2.952.8047.2%
W2 (2024-08 → 2025-08)+727%+237%1.451.2442.1%
W3 (2025-08 → 2026-09)+1,339%+932%1.651.7741.4%
Verdict: the chandelier variant beats the base 40/15 on raw return in all 3 OOS windows (+2,119 vs +1,515; +727 vs +237; +1,339 vs +932) and on PF in 2 of 3. The improvement generalizes — it is not in-sample curve-fitting. Caveats: its account DD is higher (7.8–18.3% at 1% risk), and the TOP3 concentration variant's advantage does not hold OOS (roughly neutral), so top-5 stays the recommended setting.

7 · Methodology & Caveats READ ME