The 20 Most-Searched Indicators, Ranked by Real Backtest Performance
Popularity and edge are different things — here is what 660,005 backtests across 903 assets actually found.
How the Ranking Works
Every list you find online ranks indicators by how many traders talk about them. This one ranks them by whether they beat buy-and-hold after realistic costs. We ran 660,005 backtests across 903 assets — commodities, crypto, ETFs, forex, indices, and stocks — on 1-Hour, 4-Hour, Daily, and Weekly timeframes. The cutoff is simple: does the indicator generate higher risk-adjusted returns than just holding the asset? Only 26% of all indicator/asset combinations cleared that bar. That is the baseline against which every popular indicator below should be judged.
The 20 indicators here were selected because they generate the most search traffic. A few have detailed results in our data; for the rest, the 26% base rate tells you the prior odds any randomly selected combination beats a passive approach. Where we have measured numbers, we use them. Where we do not, we say so rather than invent a figure.
The Bottom of the List: High Win Rate, Low Edge
The worst outcome in a backtest is not a low win rate — it is a high win rate that masks a losing strategy. When a signal wins often but surrenders more on losses than it gains on wins, the equity curve drifts down. Several of the most-searched indicators produce exactly this pattern, and the data is specific enough to name them.
RSI Mean-Reversion averaged a 71.7% win rate across tests, yet only 10% of assets beat buy-and-hold with it. CCI posted a 71.0% win rate; 9% of assets beat buy-and-hold. Money Flow Index came in at 72.2% wins, 9% beat buy-and-hold. Holy Grail Confluence — one of the most aggressively marketed setups in retail circles — hit 73.3% wins, 8% beat buy-and-hold. The pattern is consistent: a metric optimized to appear in screenshots is not a metric optimized to compound returns.
The pattern across all four is the same: frequent small wins, infrequent but large losses, and a cumulative return that trails a passive hold. Our methodology page explains how transaction costs are applied and why buy-and-hold serves as the comparison benchmark.
The Middle: Popular, Widely Tested, No Confirmed Edge
EMA crossovers (20/50 and 50/200), SMA crossovers, MACD, Bollinger Bands in both mean-reversion and breakout form, Stochastic, ADX/DMI, Donchian channels, WaveTrend, Williams %R, ROC, Heikin Ashi, and EMA pullbacks account for the bulk of indicator searches globally. All are tested across the full 903-asset universe. The 26% base rate applies to this population as a prior: across all combinations, most do not beat a passive approach after costs.
That base rate is not a verdict that none of them work on any asset. Some variants do appear as top performers on specific assets within specific classes — and where a variant wins a particular asset, the result is recorded on the indicators hub. The honest summary is that popularity does not predict performance, and the asset-specific results are the right place to look rather than a generic search-volume ranking.
What the Data Actually Rewards
The indicators that top asset classes in these backtests are mostly unfamiliar outside specialist circles. Fisher Transform leads Forex, winning across 17 assets. Fibonacci Pivots leads stocks with 22 assets and crypto with 4. Camarilla Pivots appears at the top of both the stock and crypto class results. None of the 20 most-searched indicators appear at the top of any asset class in aggregate.
That is not an argument that popular indicators are fundamentally broken. It is an argument that the research process should start with measured results rather than search volume. The median best Sharpe ratio across all winning indicator/asset combinations is 0.62. Edge exists in the data, but it is modest, asset-specific, and rarely concentrated where search traffic clusters.
These Are Hypothetical Backtests, Not Financial Advice
Every result on this site — including every number cited in this article — comes from backtests run on historical price data with transaction costs applied. Backtests do not guarantee future results. Markets change, liquidity conditions change, and a strategy that worked historically may not work going forward. Nothing here constitutes financial advice, and you should not make trading or investment decisions based on backtest performance alone.
The goal of this ranking is to give you a more honest starting point than a popularity contest, not to tell you what to trade. For full details on how tests are constructed, see how we backtest.
Questions, answered
Why do high win-rate indicators like RSI Mean-Reversion rank so low?
A 71–73% win rate measures how often a trade closes positive — not how much it returns relative to losses or a passive benchmark. RSI Mean-Reversion beat buy-and-hold on only 10% of tested assets, CCI on 9%, and Money Flow Index on 9%. The wins are frequent but small; losses are infrequent but large enough to drag cumulative return below a simple hold. Win rate and profitability are different statistics.
Does this mean EMA crossovers and MACD have no edge anywhere?
The data does not say that. It says only 26% of all indicator/asset combinations beat buy-and-hold across the full dataset — that is the base rate any strategy faces. Some crossover variants do appear as winners on specific assets. The accurate statement is that a generic crossover applied across the full universe tends to underperform passive more often than not, but asset-specific results vary. Check the individual asset pages for measured results rather than relying on a general ranking.
What timeframes did you test?
We tested 1-Hour, 4-Hour, Daily, and Weekly timeframes. No intraday timeframes shorter than 1-Hour were tested — claims about 1-minute or 5-minute scalping backtests do not apply to this data.
Are backtests a reliable guide to future performance?
Historical backtests with realistic costs are the most rigorous tool available for evaluating indicator logic at scale — 660,005 tests across 903 assets provides a meaningful signal. But past backtest performance is not a guarantee of future performance. Use these results to narrow your research and form better hypotheses, not to make final trading decisions.
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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