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Finaxion Research · Kaufman’s adaptive moving average (KAMA) · single stocks · Recomputed 2026-09-10

Does Kaufman’s adaptive moving average (KAMA) work on GNRC?

Kaufman’s adaptive moving average (KAMA) does not beat buy-and-hold on GNRC: -16.1 points a year over 17 years.

Total return
103.7%
Buy and hold
×22
CAGR
4.4%
Sharpe
0.16
Max drawdown
-69.0%
Trades
590
Out of sample
—
Years
17
1×10×20112013201520172019202120232025
StrategyGNRC

Findings

  1. Kaufman’s adaptive moving average (KAMA) does not beat buy-and-hold on GNRC: -16.1 points a year over 17 years.
  2. Against the S&P 500 over the same window: -10.2 points a year.
  3. Total return +103.7% versus ×22 for buy-and-hold, with 590 trades.
  4. Maximum drawdown -69.0%.
  5. It beats in neither half of the history (split at 2018).
  6. It ranks #119 of 235 markets for this strategy by annual excess over the S&P 500.

Findings derived from the full panel. Each carries its number and its denominator; the computations are reproducible with artifact 6540eaf5c46b.

Exactly what was tested

Close crosses above KAMA(10, 2, 30) → entry; close crosses below → exit.

How to read it

The verdict compares the strategy with buying and holding GNRC over the same window, with round-trip costs per asset class. “Out of sample” is walk-forward: the rule is fit on one stretch and judged on the next. A result that beats in the full sample but not out of it is overfit. Full methodology in the protocol. How we test.

Open this backtest with its trades   Trades (CSV)

Every strategy on GNRC → · Full page for Kaufman’s adaptive moving average (KAMA) →

How to cite

Finaxion Research (2026). Does Kaufman’s adaptive moving average (KAMA) work on GNRC?. Daily backtest 1962-01-01–2026-08-31, artifact 6540eaf5c46b. https://finaxion.app/en/research/kama-adaptive-average/gnrc

Not a recommendation. Past performance does not guarantee future results.