Best Indicator to Build an Edge Based On

What 'Edge' Actually Means

Edge means outperforming buy-and-hold on a risk-adjusted basis, out-of-sample, after realistic costs. It does not mean a high win rate. It does not mean a backtest that looks clean on a fitted curve. It means your indicator-based strategy produces a better Sharpe ratio than simply holding the asset — repeatedly, on data it has never seen.

The reason that distinction matters is that win rate and edge diverge constantly. An indicator can close more than 70% of its trades in profit and still fail to beat a passive hold if the winners are small or the strategy sits out strong trending periods. The most popular indicators on social media fall into exactly that trap. The data makes it measurable.

The Honest Numbers From 660,005 Backtests

Across 660,005 backtests covering 903 assets and 382 indicators — tested on 1-Hour, 4-Hour, Daily, and Weekly timeframes — only 26% of all indicator-asset combinations beat buy-and-hold. Most combinations fail. Of 903 assets, 571 (63%) have at least one indicator that clears the bar, but the median best Sharpe ratio across those assets is 0.62. That is a real but modest edge, not a windfall.

Short-side signals add measurable edge in only 17.4% of cases. Smart Money Concepts indicators — a heavily promoted category — produced zero assets where they beat buy-and-hold. Reach and reputation do not predict performance.

Where Edge Concentrates by Asset Class

For stocks, Fibonacci Pivots ranks first on the most individual equity assets (22), followed by Projection Bands (16), Intraday Momentum Index (16), Camarilla Pivots (16), and Markov Regime (14). If you trade individual equities, those five are where the data points first.

For forex, the picture is unusually concentrated: Fisher Transform ranks first on 17 currency pairs — a wide margin over the second-place DMI Direction at 3 pairs. For crypto, MA Envelope leads on 5 assets, with Fibonacci Pivots and Delta Volume Rising (CVD proxy) each at 4. Commodities are led by Keltner Mean-Reversion (3 assets) and Laguerre RSI (2). For ETFs, QQE tops the count at 4 assets; for Index ETFs, Predictive Ranges leads at 2.

There is no single indicator that dominates across stocks, forex, crypto, and commodities at once. Searching for one is how you end up with a strategy that is overfit to the assets where it happened to test well. Start with the class that matches what you actually trade.

The Win-Rate Traps

Several heavily-used indicators produce high median win rates while beating buy-and-hold on only a small fraction of assets. Murrey Math Lines generates a 74.3% median win rate but clears the buy-and-hold bar on just 11% of assets tested. Holy Grail Confluence reaches 73.3% wins but beats buy-and-hold on 8% of assets. Money Flow Index comes in at 72.2% wins / 9% beat rate. RSI Mean-Reversion is 71.7% wins / 10% beat rate. CCI sits at 71.0% wins / 9% beat rate.

If you build your strategy around win rate, you can be right more than 70% of the time and still underperform a passive hold. Win rate is a useful marketing number. It is a poor measure of whether the strategy earns its risk.