Hull Moving Average vs EMA Cross: Which Lags Less, Which Wins?
HMA promises to eliminate lag. Here's what 660,005 backtests across 903 assets actually found.
The Lag Claim Is Real — the Profit Claim Isn't
The Hull Moving Average does what it advertises. By combining two weighted moving averages of different lengths and then applying a square-root-period smoothing pass, it produces a line that hugs price more tightly and turns earlier than a standard EMA for the same lookback period. If you plot both on the same chart, the difference is visible: HMA reacts faster.
The part worth questioning is what that faster reaction is worth in practice. Lag on a trend-following entry costs you the first portion of a move. But an MA that turns faster also triggers more signals in choppy, directionless conditions — and more signals mean more whipsaws, more transaction costs, and more noise. Whether reduced lag improves your results is an empirical question, not a theoretical one.
What Our Backtests Cover
Across 660,005 backtests on 903 assets — stocks, ETFs, forex pairs, crypto, commodities, and indices — we tested 382 indicators across four timeframes: 1-Hour, 4-Hour, Daily, and Weekly. EMA cross systems, including the 50/200 and 20/50 combinations, were among the indicators tested. All results use realistic simulated transaction costs and run out-of-sample.
The benchmark is buy-and-hold. Across all 903 assets, 63% had at least one indicator that beat buy-and-hold. That's the best indicator per asset. Zoom out to every indicator-and-asset combination and only 26% of pairings beat buy-and-hold. That's the bar any MA cross system has to clear.
Neither Cross System Topped Any Asset Class
Neither HMA cross nor standard EMA cross appears among the top-ranked indicators for any asset class in our data. EMA crosses like the 50/200 and 20/50 were tested; they didn't lead the leaderboard for stocks, forex, crypto, commodities, ETFs, or indices.
Some lag-adaptive MAs do appear in the top performers — but in specific niches. The McGinley 200 Trend topped two ETF assets; the T3 20/80 Cross and Fractal Adaptive MA each topped one Index ETF asset. These are adaptive approaches and they work in those narrow contexts. They're not general-purpose winners, and they're not the HMA cross either.
The short side is a harder problem still. Across all indicators, shorts added meaningful edge in only 17.4% of cases. A two-direction MA cross strategy faces an especially steep bar on the short leg.
When Lag Reduction Actually Matters
HMA's faster response is most meaningful on shorter timeframes, where price moves rapidly enough that a delayed cross can mean a substantially different entry price. On a Weekly chart, the difference between HMA and EMA lag shrinks relative to the noise in each bar — and neither cross system leads our Weekly results.
The type of lag matters as much as the amount. Entry lag keeps you out of the first part of a trend. Exit lag keeps you in a trade past its useful life. HMA addresses entry lag well. Whether that specific advantage improves your Sharpe ratio depends on whether your target market is trending or mean-reverting — in choppy conditions, a faster MA generates more false signals, not better results.
The Honest Takeaway
If you need an MA that tracks price tightly and turns quickly, HMA is the better-designed tool. What the data doesn't support is the conclusion that this technical advantage reliably translates into better performance than an EMA cross.
The indicators that actually top the leaderboard — Fisher Transform for forex (17 assets), Fibonacci Pivots for stocks (22 assets), Keltner Mean-Reversion for commodities (3 assets) — are not MA cross systems at all. If your choice is HMA cross versus EMA cross, you're choosing between two approaches that sit in a similar competitive tier. The more useful question is whether an MA cross is the right tool for your specific asset in the first place.
All results on this site are hypothetical backtests with realistic simulated transaction costs. They are not a promise of future returns and are not financial advice. Past backtest performance does not guarantee live trading results.
Questions, answered
Which is better for day trading — HMA or EMA cross?
Our backtests cover 1-Hour, 4-Hour, Daily, and Weekly timeframes — those are the only intervals we tested. On the 1-Hour timeframe, HMA's tighter tracking is a genuine mechanical advantage over EMA. But neither MA cross system consistently tops our results at any of the four timeframes we tested. Whether that faster response helps in practice depends on your specific asset and cost structure.
Are these real trading results?
No. Every result on this site is a <strong>hypothetical backtest</strong> run out-of-sample with realistic simulated transaction costs. They show what would have happened if you had followed these rules historically — not what will happen going forward. This is not financial advice. Past backtest performance does not guarantee future results.
What indicator actually wins instead?
It depends on the asset class. For forex, the Fisher Transform topped the most assets in our data. For stocks, Fibonacci Pivots led. For commodities, Keltner Mean-Reversion. None of these are MA cross systems. You can see the full rankings on the <a href="/assets">assets page</a>.
What period should I use for HMA or EMA?
There's no single right answer — the optimal period varies by asset and timeframe. Our <a href="/methodology">methodology page</a> explains how we handle parameter selection to avoid in-sample overfitting.
Every figure here comes from our own out-of-sample backtests, costs included — not a course or a guess. Educational information only — not investment advice. Hypothetical backtested results; past performance does not guarantee future results. Trading involves risk of loss.
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