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The best indicator for Financials (XLF)

We backtested 366 indicators across daily, weekly and hourly charts on real Financials (XLF) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.

Signaling FLAT right now — Connors RSI-2 (Daily) is out of the market, as of 2026-06-12.
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Oscillator · Daily

Connors RSI-2

On the daily chart, this is the strongest risk-adjusted edge we found for Financials (XLF) over ~27.4 years — beating buy-and-hold by 1.6% CAGR.

7.4%
CAGR
0.49
Sharpe
-43.4%
Max DD
67.9%
Win rate
1.66
Profit factor
+1.6%
vs Buy&Hold
Confluence · Daily

Best multi-indicator combo

QQEDeMarker

Going long only when all 2 agree was the strongest confluence setup we found for Financials (XLF) — trailing buy-and-hold by 3.3% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

2.5%
CAGR
0.22
Sharpe
53.3%
Win rate
182
Trades
-3.3%
vs Buy&Hold
Best by timeframe

The winner on each chart

Daily
Connors RSI-2
+1.6% · Sharpe 0.49
Weekly
DEMA 20/50 Cross
-0.3% · Sharpe 0.46
Full results

Every indicator, ranked

Ranked by Sharpe (risk-adjusted return). Hypothetical, fees included.

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Connors RSI-2 Daily7.4%0.49-43.4%67.9%3271.6%
2TRIMA 200 Trend Daily5.4%0.48-37.9%44.1%59-0.4%
3Connors RSI Daily7.3%0.47-46.5%69.3%3261.5%
4T3 200 Trend Daily4.8%0.47-31.7%47.5%59-1.0%
5DEMA 20/50 Cross Weekly5.4%0.46-30.3%50.0%20-0.3%
6WMA 200 Trend Weekly5.3%0.46-36.1%55.6%18-0.4%
7ALMA 100 Trend Weekly5.0%0.46-24.0%42.9%35-0.7%
8TRIMA 30 Trend Weekly5.1%0.46-25.5%48.7%39-0.6%
9Hull Suite Weekly5.8%0.45-33.5%53.6%280.1%
10WMA 10/40 Cross Weekly5.6%0.45-37.3%52.2%23-0.1%
11Awesome Oscillator Weekly5.4%0.44-37.9%43.3%30-0.2%
12EMA 8/21 Cross Weekly5.3%0.43-30.1%40.7%27-0.4%
13EMA 200 Trend Weekly5.1%0.43-38.7%66.7%15-0.5%
14Hull MA 200 Trend Weekly4.1%0.43-24.6%45.2%31-1.6%

= held up out-of-sample. Hypothetical, costs included. See methodology.

What this means

For Financials (XLF), Connors RSI-2 on the daily timeframe gave the best balance of return and risk in our test. It beat buy-and-hold — but remember: this is a hypothetical backtest of a standard rule, not a recommendation. Markets change. See the methodology and disclaimer.

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