Trend Following vs Mean Reversion: 416 Backtests Compared

Trend following or mean reversion: which style works better? We labelled every strategy version we have backtested by the kind of rule it is, before looking at any result by label, and compared what each style did before costs, after costs, against random entries and under our six gates.

ES and NQ futures, gold, forex, Bitcoin, SPY · 62 published tests, 416 versions · no new backtest: every number comes from the published results

Guide · 416 versions compared

Neither style won after costs. Breakouts came closest to an edge.

Written22 Oct 2026, updated 27 Oct 2026
Labels and rules frozen22 Oct 2026, before any result by style was computed

Tests: 62 · Versions: 416 · Positive after costs: 47% trend following, 44% mean reversion · New backtests: none

Short answer: in our tests neither won after costs: 47% of trend-following versions and 44% of mean-reversion versions were positive after costs. Trend following, and breakouts above all, beat random entries more often (22% against 17%), but not by more than chance allows in our sample.

00The short answer

  • After costs, the two styles finished level in our tests. 47% of trend-following versions and 44% of mean-reversion versions were positive after costs, and only 3 versions passed all six of our gates, all of them trend following.
  • Trend following was positive before costs more often (76% against 70%) and beat random entries more often (22% against 17%), but neither difference is larger than shuffling the labels produces by chance in a sample of 14 mean-reversion tests.
  • Breakouts did best of all the kinds: 56% positive after costs and 32% above the random control, against 14% for other trend rules and 17% for mean reversion.
  • Mean reversion traded half as often and still gave more to costs: a median 84 trades a year against 164, yet costs took 123% of its profit before costs against 77%. Its edge per trade was smaller.

01How we labelled the strategies

Every version got one label from its rule, decided by how the entry picks a direction relative to the move before the signal. The label file was written before any result was joined to it; the eight tests published after 22 October were labelled on 27 October by the same definitions, after their own results were published but before any result by style was recomputed, and the three smart-money models among them are flagged as debatable (the labels, the specification).

  • Trend: enters with a trend measured by an average, an indicator or a recent move: moving-average crosses, MACD, Supertrend, Parabolic SAR, Heikin Ashi, ADX, Ichimoku, TDI, pullbacks bought in the trend’s direction, intraday momentum.
  • Breakout: enters when price leaves a range or channel: Donchian and Turtle, opening ranges, the initial balance, noise-area bands, inside bars, the TTM Squeeze, the London range.
  • Mean reversion: enters against the preceding move: RSI(2) dips, Bollinger fades, RSI 30/70, WaveTrend, divergences, gap fades, fading the VWAP cross.
  • Trend following = trend + breakout, as the term is usually used (Turtle trading is the classic trend-following system). Patterns (engulfing, head and shoulders, the H1 Open Trap) and a time-of-day rule are shown but kept out of the main comparison. The gold tests keep the labels of our gold strategies guide.

Each test weighs the same: a rate is the mean over tests (a test with several styles counts once in each), so our 96-version FX study does not outvote a 3-version test. 34 versions with a debatable label are flagged; section 06 removes them.

02Trend following vs mean reversion

Share of versionsTrend following
48 tests, 305 versions
Mean reversion
14 tests, 96 versions
Pattern and time
4 tests, 15 versions
Positive before costs76%70%81%
Lost before costs24%30%19%
Lost to costs29%26%46%
Positive after costs47%44%35%
Beat random entries (top 5% of the control)22%17%44%
4 or more of the 6 gates9%15%13%
Passed all six gates300
Median share of the profit before costs taken by costs77%123%267%
Median trades a year16484275

The gaps that look large, 6 points before costs and 5 points against random entries, are within what chance gives: shuffling the style labels among the tests 10,000 times produced a gap at least as large 55% and 60% of the time. After costs the gap is 3 points. Mean reversion had more versions that passed four or more of the six gates (15% against 9%), mostly from the previous-day high-low reversal on Dow futures; that gap too is within chance (40%). With only 14 mean-reversion tests, our sample cannot separate the two styles.

03Trend, breakout and mean reversion

Share of versionsTrend
29 tests, 204 versions
Breakout
21 tests, 101 versions
Mean reversion
14 tests, 96 versions
Positive before costs74%77%70%
Lost before costs26%23%30%
Lost to costs34%21%26%
Positive after costs40%56%44%
Beat random entries (top 5% of the control)14%32%17%
4 or more of the 6 gates9%8%15%
Passed all six gates120
Median share of the profit before costs taken by costs83%72%123%
Median trades a year16915284

Breakout rules stand out on two counts: the most versions positive after costs and the most above the random control, and two of the three versions that passed all six gates (the New York noise area breakout on NQ). The third, the long-only 1-hour golden cross on gold, is a trend rule; it was later changed to Inconclusive after a data check.

04Long-only rules and rising markets

Most of our markets rose over the test years, which helps every long-only rule. We expected trend following’s lead before costs to come from its long-only versions. It did not:

Positive before costsTrend followingMean reversion
Long-only versions83%82%
Long-and-short versions72%62%

Long-only versions of both styles were positive before costs equally often; the gap is in the versions that also go short (shuffle: 43%). After costs, long-and-short versions were positive 40% of the time for trend following and 36% for mean reversion.

05By market

Only US index futures (ES, NQ and YM) have enough tests of both styles to compare (24 trend following, 6 mean reversion): 48% against 58% positive after costs, 16% against 29% above the random control. On gold, forex and Bitcoin we ran only three, two and two mean-reversion tests, against 5, 8 and 12 trend-following ones, too few to compare. Costs by market are in how much trading costs ate across our backtests.

06Without the debatable labels

Five groups of versions could be argued either way (the Coppock curve, Stochastic + RSI + MACD, the Fibonacci scalping rule, one opening-range variant, and the three smart-money models: the order block, the change of character and the ICT Silver Bullet). Without these 34 versions: trend following 49% and mean reversion 48% positive after costs; 24% and 18% above the random control. The picture does not change.

07Every test and its label

TestStyle (versions)VersionsPositive after costsBeat random entries
200-day moving average (SPY, daily)trend220
9 EMA strategies (NQ)trend310
ADX + DI (4 forex majors, 1-hour)trend820
Coppock Curve (1H)trend*1200
EMA 9/20 gold (M15, H1)trend24815
EMA 9/21 (1H)trend1282
EMA ribbon 5/8/13 (NQ)trend853
Fibonacci 61.8% (EUR/USD 1H)trend200
Golden Cross (1H)trend24198
Golden Cross (daily)trend881
Golden Cross (EUR/USD 1H)trend1250
Heikin Ashi (Bitcoin, 4-hour)trend323
Ichimoku Cloud (EUR/USD)trend621
ICT Silver Bullet (ES, 5-min)trend*420
Intraday momentum (ES)trend400
Intraday momentum (NQ)trend400
Trend pullback (Bitcoin, 15-min)trend200
MACD Crossovertrend420
MACD + RSI + 200 EMA (NQ, 5-min)trend444
Order block + fair value gap, SMC (EURUSD, 5-min)trend*200
Parabolic SAR (EUR/USD, 1-hour)trend300
Supertrendtrend831
TDI, Traders Dynamic Index (EUR/USD, 4-hour)trend300
Trading Made Simple, TDI + Heikin Ashi (EUR/USD)trend310
VWAP strategies (ES, 5-min)trend (1), mean reversion (2)300
Change of character after a sweep, SMC/ICT (NQ)breakout*430
Donchian Channel Breakoutbreakout410
Fibonacci scalping, Google AI (ES)breakout*411
First 5-min candle + FVG (NQ, YouTube scalping)breakout200
Gold Opening-Range Breakoutbreakout12312
Initial balance breakout (ES)breakout320
Initial balance breakout (NQ)breakout332
Inside bar breakout (EURUSD, daily)breakout310
London breakout (GBPUSD)breakout322
Noise area breakout (Bitcoin, 24/7)breakout400
Noise area breakout (ES)breakout622
Noise area breakout (XAU)breakout624
Noise area breakout (NQ)breakout632
NR7 / NR4 breakout (ES)breakout310
Opening range breakout (NQ, 5-minute)breakout*440
Trendline breakout and bounce (YM)breakout (2), trend (2)421
TTM Squeeze (gold, 1-hour)breakout434
Turtle Trading (Bitcoin, daily)breakout442
Turtle Trading (EUR/USD, daily)breakout441
Turtle Trading (gold, daily)breakout442
Accumulation/Distribution (Bitcoin, 4-hour)mean reversion (1), trend (2)330
Accumulation/Distribution (SPY, daily)mean reversion (1), trend (2)330
Bitcoin CME gap fillmean reversion300
Bollinger Band Reversalmean reversion442
Opening gap fill (ES)mean reversion300
Six Strategies on Four Currency Pairsmean reversion (48), breakout (16), trend (32)963011
Sneaky Pivot, previous day high/low (gold)mean reversion401
Sneaky Pivot, previous day high/low (YM)mean reversion444
RSI 30/70 (gold, 5-min and 1-hour)mean reversion822
RSI Divergencemean reversion420
Stochastic + RSI + MACD (EUR/USD)mean reversion*600
The RSI(2) Dip Buyermean reversion441
WaveTrend (gold, 1-hour)mean reversion410
Engulfing candle (gold, 1-hour)pattern404
H1 Open Trap (gold, 1-minute)pattern401
Head and shoulders (gold, 15-minute)pattern432
Best time to trade gold (night vs day)time of day320

* Includes versions with a debatable label (section 06).

08What this does not say

  • It is not every strategy. These are popular retail rules we chose to test; 48 trend-following tests against 14 mean-reversion tests.
  • The styles were tested on different markets and timeframes. 6 of the 14 mean-reversion tests are on US index futures (five on ES, one on YM), and trend following dominates gold, forex and Bitcoin.
  • Positive is not proven. Only 3 of 416 versions passed all six gates.
  • A label is a simplification. Many real systems mix the two (a pullback in a trend buys weakness in an uptrend); our rule for the label is in the specification.

09So which style should you trade?

  1. The style matters less than the edge. In our tests the share of rules that survived costs was about the same for both.
  2. Check the result against random entries. That is where breakouts stood out; being positive after costs alone did not separate the styles.
  3. Mean reversion lives on small wins: put your round-trip cost next to its average trade before anything else.
  4. Long-only results on rising markets flatter every style; look at the versions that also go short.
  5. A style that loses is not fixed by trading its opposite: we reversed all our backtests, and costs hit both sides.
  6. Decide the rules before the test and count every variant; see how to backtest a trading strategy without fooling yourself. Whether a rule also works on another market: our cross-market scoreboard.

FAQCommon questions

Is trend following better than mean reversion?

Not clearly, in our 416 backtested versions: positive after costs 47% against 44%, and the three versions that passed all our gates were trend following. The differences before costs and against random entries were within what chance gives with 14 mean-reversion tests.

Does trend following work?

Some trend-following rules were positive after costs (47% of versions), but only 22% beat the same trades at random times and three passed all six of our gates. Breakout rules did best: 32% beat random entries.

Does mean reversion work?

In our tests 44% of mean-reversion versions were positive after costs and 17% beat random entries; none passed all six gates. Costs took a median 123% of their profit before costs, because the average trade is small.

Is a breakout strategy trend following?

Usually yes: a breakout enters in the direction price leaves a range, and the classic trend-following system, Turtle trading, is a breakout rule. We show breakouts separately because they did better than other trend rules in our tests.

Which style has lower trading costs?

Mean reversion traded less often in our tests (a median 84 trades a year against 164), but costs took a larger share of its profit before costs, because each trade aims for a small move. How much costs ate across our backtests.

10Check our arithmetic

Specification and labelsThe labelling rule, the questions and the checks, frozen before the comparison; the label of every version, written before any result was joined.
fm_spec.md · fm_label.js · fm_labels.json
Scripts and dataThe run joins the labels with the published results (checked against every trade log in the cost study) and the published gate files, checks the gold labels against the gold guide, then answers the questions; a second, independent script recomputes every rate and must match.
fm_run.js · fm_ref.js · fm_logs.js · fm_rows.json · fm_summary.json · check results
The testsEach test’s frozen specification, code, trade logs and gates are on its own page, linked in the table above.

11Corrections

2 Nov 2026, addition: a link to the new guide on reversing losing strategies. No result changed. 27 Oct 2026, update: the eight tests published after 22 October (29 versions) were labelled by the frozen definitions and added, and every number was recomputed: 416 versions of 62 tests (before: 387 of 54). Changes: beating random entries, trend following 22% against mean reversion 17% (before: 22% and 9%), a gap now within chance more clearly (60%, before 18%); four or more gates, mean reversion 15% against 9% (before: 9% and 8%), mostly from the previous-day high-low reversal on Dow futures; positive after costs 47% and 44% (before: 46% and 43%); 34 versions flagged as debatable (before: 24), the three smart-money models added; index futures now include YM. The conclusions are unchanged: neither style won after costs, and breakouts came closest to an edge.

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