TREND-17 · Trend Following

Chandelier Exit

Uses ATR-based trailing stops from recent highs. Long stop = Highest High - 3*ATR. Stays in trend until volatility-adjusted stop is hit. Designed to ride trends and protect gains.

TrendVolatility

At a glance

Best onTrending markets with clear swings
Signal frequencyDaily
Typical holding periodDays
Asset classesIndex, Commodity, FX
Markets tested10
Data through2026-11-10

What the backtest shows

  • Beat buy-and-hold on 5 of 10 markets by annual return over 5 years.
  • Had a smaller maximum drawdown than buy-and-hold on 7 of 10 markets.
  • Best market by Sharpe ratio: GLD (Sharpe 0.76, CAGR 10.2%).
  • Weakest market: UNG (Sharpe 0.01, CAGR -8.6%).

Equity curve

0.542.795.057.309.55 201020122014201620182020202220242026
Chandelier Exit Buy & hold · SPY, 2010-01-04 → 2026-11-10, growth of 1

Score and risk profile

Arena Score: 58.9SPY, 5 years
Return quality · 30%60
Drawdown control · 25%64
Consistency · 20%70
Robustness · 15%14
Significance · 10%88

Each bar is a percentile against every strategy on the same market and window (100 = best).

How it held up in sell-offs (SPY)

PeriodStrategyBuy & hold
Q4 2018 sell-off-4.8%-19.2%
COVID crash (Feb–Mar 2020)-10.5%-33.7%
2022 bear market-6.9%-24.5%
Market above its 200-day average (annualized) · 81%+4.1%+12.5%
Market below its 200-day average (annualized) · 19%+12.9%+19.8%

Sell-off dates follow the US stock market. Above/below the 200-day average uses the previous day's position, so there is no look-ahead.

Out-of-sample check (SPY)

CheckValue
Chosen parameters on their 3-year training windows (average Sharpe)0.94
Same parameters in the following 6 months, when traded (Sharpe)0.62
Default parameters over the same months (Sharpe)0.65
Parameter re-selections / changes28 / 14
Parameter settings with a positive Sharpe (full history)9 of 9
Sharpe across settings: worst / median / best0.47 / 0.58 / 0.66

Out-of-sample periods start on 2013-01-04. Training-window figures are flattered by picking the best of 9 settings; the out-of-sample figure is what the strategy actually earned. A large drop, or a result that depends on one setting, points to overfitting. How walk-forward testing works.

Results by market (5 years)

MarketCAGRBuy & hold CAGRSharpeMax drawdownBuy & hold max DDVolatilityArena Score
GLDSPDR Gold Shares10.2%16.4%0.76-21.2%-28.3%14.6%61
SLViShares Silver Trust17.1%15.2%0.71-41.5%-57.8%28.8%83
USOUnited States Oil Fund12.0%20.2%0.52-47.9%-36.2%28.3%66
SPYSPDR S&P 5005.5%11.6%0.52-15.8%-24.5%11.2%59
DBAInvesco DB Agriculture4.5%8.8%0.49-17.5%-15.9%10.4%60
BTC-USDBitcoin15.0%2.6%0.47-36.0%-75.9%27.8%78
DBCInvesco DB Commodity Index5.8%10.8%0.45-32.1%-27.3%14.6%61
EURUSD=XEUR/USD0.9%-0.7%0.19-9.3%-17.2%5.4%72
ETH-USDEthereum-5.6%-15.1%0.08-60.1%-79.0%38.0%47
UNGUnited States Natural Gas-8.6%-30.7%0.01-72.5%-93.3%42.7%68

Strategy metrics use daily returns without trading costs. Buy-and-hold figures are for the same market and window. Rows are sorted by Sharpe ratio.

SPY across time windows

WindowTotal returnCAGRSharpeSortinoMax DDWin daysTrades
1 year-6.0%-6.0%-0.38-0.39-14.5%34%33
3 years+22.3%6.9%0.750.79-14.5%42%85
5 years+30.7%5.5%0.520.58-15.8%36%121
Full history+155.9%5.7%0.580.60-23.6%38%694

Rules

Entry

Buy when price breaks above short stop (reversal)

Exit

Sell when price falls below long stop

Indicators

ATR = Average True Range over N periods
Long Stop = Highest High(22) - 3 * ATR
Short Stop = Lowest Low(22) + 3 * ATR

Inputs

ATR_Period = 22
Multiplier = 3.0

Position sizing

Fixed 100% allocation

Risk controls

ATR-based dynamic stop loss

Strategy evidence

Only available, validated bundles appear below. Missing evidence is not a passing validation result.

Evidence coverage

10 / 10 declared strategy–market pairs validated

Notes

  • Developed by Charles Le Beau
  • Named after chandelier hanging from ceiling (highest point)
  • Adapts to volatility - wider stops in volatile markets

Related strategies

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Backtests are historical simulations on daily data and do not include commissions or slippage. They do not guarantee future results and are not investment advice. See the methodology for how every strategy is tested.

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