Laguerre RSI: The Smoother RSI Variant — Where It Wins and Where It Fails
Laguerre RSI ranks among the top commodity indicators in our 660,005-backtest dataset, but its edge is narrower and more asset-specific than its reputation suggests.
What Makes Laguerre RSI Different
Standard RSI measures momentum by comparing average gains to average losses over a fixed lookback window. Laguerre RSI, developed by John Ehlers, replaces that lookback with a Laguerre filter — a recursive smoothing algorithm governed by a single gamma parameter. Lower gamma delivers heavier smoothing; higher gamma tracks price more closely. The result is an oscillator that moves between 0 and 1, tending to reverse more cleanly than the 0–100 standard RSI with fewer brief spikes into overbought or oversold territory.
The pitch is simple: the same reversal signals, but with noise filtered out before the calculation runs. Whether that smoothing converts to measurable edge is empirical, not theoretical — and that's exactly what the backtest data addresses.
What Our Backtests Actually Show
Across 903 assets and 660,005 out-of-sample backtests covering 1-Hour, 4-Hour, Daily, and Weekly timeframes, Laguerre RSI earns a clear distinction in one place: commodities. It ranks second among all indicators tested on commodity assets, trailing only Keltner Mean-Reversion. That's a real finding — commodities are a competitive category across 382 tested indicators, and finishing top-two is not a coincidence.
Outside of commodities, Laguerre RSI does not appear in the top-five lists for stocks, forex, crypto, ETFs, or equity indexes in our data. Forex leaders are Fisher Transform by a significant margin, then DMI Direction and Parabolic SAR. Stocks favor Fibonacci Pivots, Projection Bands, and Camarilla Pivots. Crypto's top performers are MA Envelope and Fibonacci Pivots. The pattern is consistent: indicator edge is almost always asset-class-specific, not universal.
Why Smoothing Helps in Commodities — and Less Elsewhere
Commodity markets — energy, metals, agricultural products — often move in sustained multi-week trends driven by supply constraints, seasonal cycles, and physical demand. In that environment, a smoother oscillator can stay on the right side of a trend without being whipsawed out by minor pullbacks. The Laguerre filter removes short-term noise, and trend-driven commodity behavior appears to be terrain where that property earns its keep.
Forex, by contrast, rewards fast signal response in our data — Fisher Transform, DMI Direction, and Parabolic SAR capture forex tops and bottoms precisely because they're sensitive. Crypto's top performers are not oscillator-based at all. Applying Laguerre RSI broadly across all asset classes doesn't match what the results support; the commodity edge is real, but it doesn't transfer automatically.
The Baseline Every Indicator Has to Beat
One number frames the whole picture: across our full dataset, only 26% of all indicator-and-asset combinations beat buy-and-hold after realistic costs. Even in cases where an indicator wins on a given asset, the median best Sharpe ratio across the dataset is just 0.62. Most setups fail. That includes most Laguerre RSI setups on asset classes where it doesn't appear in the top rankings.
Short-side applications face an even steeper hurdle. Across all tested assets, short signals carry measurable edge on only about 17.4% of assets. If you're planning to use Laguerre RSI oversold signals as short entries, the base rate is working against you. The commodity finding is a real edge in the data — it just doesn't extend automatically to the short side or to asset classes where Laguerre RSI isn't near the top.
Hypothetical Results — Not Financial Advice
Every figure on this page comes from hypothetical backtests. The simulations use out-of-sample data and include realistic transaction costs, but past backtest performance does not guarantee future results. Markets change, live execution differs from simulation, and no indicator strategy is a reliable income source. Nothing here constitutes financial advice — it's a structured look at what has and hasn't worked historically under controlled test conditions.
If the commodity ranking for Laguerre RSI interests you, the right move is examining the specific assets and timeframes where it topped our rankings, not assuming it transfers to the next commodity you happen to trade. The asset pages show the indicator that actually ranked first on each individual asset, which gives you a more precise starting point than a class-level summary.
Questions, answered
Is Laguerre RSI better than standard RSI?
In our commodity backtests, Laguerre RSI outranks RSI-based strategies — it's the second-highest-ranked indicator across the commodity asset class. Outside of commodities, it doesn't appear in the top five for any other class we tested. 'Better' depends entirely on what you're trading. Check the <a href="/assets">asset pages</a> for per-asset rankings rather than applying a blanket preference.
What timeframes did you test?
We tested 1-Hour, 4-Hour, Daily, and Weekly timeframes. No intraday timeframes shorter than 1-Hour — no minute-chart or scalping data — are included in these results.
Are these results real or hypothetical?
Hypothetical. The backtests use out-of-sample data with realistic costs, but they are simulations, not live trading records. Past backtest performance does not predict future returns, and nothing here is financial advice.
Where do I find the best indicator for a specific commodity?
The <a href="/assets">asset pages</a> list the top-ranked indicator for each individual asset and timeframe combination in our dataset. Laguerre RSI's second-place commodity standing is a class-level summary — results vary by specific asset.
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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