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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=33, atrPeriod=22, mult=1.9
74.6% 41.2%-40.8%-86.8% 1.635836%
Ethereum
emaPeriod=55, atrPeriod=10, mult=2
82.3% 27.1%-57.6%-95.6% 1.434440%
XRP (Ripple)
emaPeriod=7, atrPeriod=11, mult=1.2
103.7% 25.7%-36.8%-95.9% 1.349414%
Samsung Electronics
emaPeriod=57, atrPeriod=10, mult=3.6
6.0% 14.2%-40.1%-64.8% 0.398030%
Apple (AAPL)
emaPeriod=42, atrPeriod=19, mult=3.2
12.0% 18.8%-55.9%-82.2% 0.6317134%
1x 10x 100x 2018 2020 2022 2024 2026 Keltner channel breakoutBuy & hold
Bitcoin 2017-09-25–2026-07-30 · 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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