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Trend-Following Backtester · Guide · Strategies 한국어

Strategies

ROC momentum

Rides the trend when recent return (momentum) over a window is above a threshold.

Parameters 2 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 2 tunable values: n, threshold. 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
n=34, threshold=0.13
66.8% 43.7%-54.3%-86.8% 1.5411029%
Ethereum
n=34, threshold=0.04
76.4% 30.2%-67.5%-95.6% 1.3214746%
XRP (Ripple)
n=12, threshold=0.07
80.9% 29.5%-58.8%-95.9% 1.1224725%
Samsung Electronics
n=18, threshold=-0.14
13.3% 15.0%-56.5%-64.8% 0.549397%
Apple (AAPL)
n=39, threshold=-0.04
15.9% 18.6%-83.2%-82.2% 0.6156170%
1x 10x 100x 2018 2020 2022 2024 2026 ROC momentumBuy & hold
Bitcoin 2017-09-25–2026-08-25 · ROC momentum (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

ROC momentum 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.

Run this strategyCompare the others

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