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Trend-Following Backtester · Guide · Strategies 한국어

Strategies

Keltner channel breakout

Breaking above the channel top (average plus a multiple of volatility) signals an upside breakout.

Parameters 3 Assets tested 5 Costs 0.5% Optimized Sharpe · 120

The rules

Those numbers are the values optimized for Bitcoin. They differ per asset — the table below lists each.

There are 3 tunable values: emaPeriod, atrPeriod, mult. Fewer knobs make it harder to fit noise, so a count this low keeps overfitting risk relatively contained.

Results by asset

The same strategy across 5 very different assets, each over its full history, with parameters optimized per asset. It beat buy and hold on 3 of 5.

Asset · parameters CAGRHold CAGR Max drawdownHold DD SharpeTradesTime in market
Bitcoin
emaPeriod=36, atrPeriod=19, mult=2.4
75.3% 43.7%-45.5%-86.8% 1.664735%
Ethereum
emaPeriod=54, atrPeriod=9, mult=1.4
86.0% 30.2%-50.9%-95.6% 1.456343%
XRP (Ripple)
emaPeriod=8, atrPeriod=18, mult=1.3
91.7% 29.5%-39.1%-95.9% 1.268513%
Samsung Electronics
emaPeriod=45, atrPeriod=24, mult=1.7
6.8% 15.0%-49.0%-64.8% 0.4017842%
Apple (AAPL)
emaPeriod=43, atrPeriod=16, mult=2.8
12.5% 18.6%-55.1%-82.2% 0.6320237%
1x 10x 100x 2018 2020 2022 2024 2026 Keltner channel breakoutBuy & hold
Bitcoin 2017-09-25–2026-08-25 · Keltner channel breakout (solid) vs buy and hold (dashed). Log scale.
These are in-sample figures. The same data chose the parameters and scored them, so they sit above what live trading would return. Use them to rank strategies against each other, not as a return target. See optimization and overfitting.

When this one works

Keltner channel breakout belongs to the trend-following family. All of them earn in sustained directional moves and bleed costs in range-bound markets. The trade count and time in market columns above show how each variant leans.

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