ROC Momentum: The Most Frequent Rule We Tested
If price has risen over the last 12 bars the move continues; if it has fallen, the fall continues. The simplest formulation of momentum through a rate-of-change indicator.
ROC momentum: how it was specified
A positive ROC(12) reading goes long, a negative one goes short. The rule barely leaves the market and changes position more often than any other rule tested — around seventy times over the sample.
ROC(12): what the run showed
Run with the portal's own engine over 518 daily bars for each of 12 pairs, costs of 1 pip round turn, canonical parameters. The method and its limitations are set out in how we run backtests.
- Median return — -5.39%, profitable on 0 of 12 pairs
- Sharpe — -0.35, drawdown — 10.7%
- Trades — 71, win rate — 42%, time at risk — 98%
- Extremes: EURGBP -0.7%, AUDUSD -17.1%
Seventy trades and no profitable pair
Not one profitable pair out of twelve, combined with the highest turnover of any rule. The link is direct: ROC crosses zero every time price returns to where it stood twelve bars earlier, and in a ranging market that happens constantly. The result is a system that buys after a rise and sells after a fall at exactly the frequency with which the market oscillates around its mean — buying high and selling low, paying for every reversal.
Momentum as a phenomenon and momentum as a rule
The contrast with the golden cross is instructive: two trades there, seventy here, and both extremes fail for different reasons. A rare signal gives no statistics; an over-frequent one is consumed by costs. Momentum as documented in academic literature operates over horizons of months and across portfolios of assets, not through indicator flips within a single pair. For comparison: simply holding the position on the same data returned 4.79%, and this rule did not beat it — why a benchmark is not optional.
Why costs decide this one
The limitation that shapes this result: roughly seventy position changes make the rule the most cost-sensitive of all ten. We assumed one pip round turn — at costs realistic for a retail account, the loss would be materially deeper. The general limitations — a short sample, correlated pairs, a signal tested without risk management — are listed in the methodology. The data is open and the run reproduces from a script in the repository.
This material is educational and is not individual investment advice. Backtested results do not guarantee similar results in the future. Trading forex carries the risk of losing capital.
Frequently asked questions
What did ROC Momentum return in the test?
A median of -5.39% across 12 pairs over 518 daily bars, profitable on 0 of 12, with a median Sharpe of -0.35. Simply holding the position returned 4.79% on the same data.
Does this mean ROC Momentum does not work?
The contrast with the golden cross is instructive: two trades there, seventy here, and both extremes fail for different reasons. A rare signal gives no statistics; an over-frequent one is consumed by costs. Momentum as documented in academic literature operates over horizons of months and across portfolios of assets, n
What is the main caveat to the ROC Momentum result?
The limitation that shapes this result: roughly seventy position changes make the rule the most cost-sensitive of all ten. We assumed one pip round turn — at costs realistic for a retail account, the loss would be materially deeper.
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