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The best indicator for Raymond James Financial (RJF)

We backtested 382 indicators across daily, weekly and hourly charts on real Raymond James Financial (RJF) history. Here's what actually worked — risk-adjusted over the full backtest, with costs, and checked out-of-sample.

Signaling LONG right now — Demand Index (Weekly) has been long for 6 bars. Signal computed on 2026-10-19, 4 days behind the price data on this page (it is rebuilt on a separate schedule).
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Key levels · as of 2026-10-23

Where Raymond James Financial (RJF) stands

157.70
last daily close (2026-10-23)
159.40
200-day simple moving average price 1.1% below
166.18
50-day simple moving average price 5.1% below
139.39–180.56
52-week range

Computed from our own daily OHLCV history, not quoted from a third party. Moving averages use closing prices; "52-week" is the last 252 trading sessions.

Volume · Weekly

Demand Index

On the weekly chart, this is the strongest risk-adjusted edge we found for Raymond James Financial (RJF) over ~43.4 years — trailing buy-and-hold by 1.4% CAGR.

13.9%
CAGR
0.62
Sharpe
-48.0%
Max DD
70.2%
Win rate
4.97
Profit factor
-1.4%
vs Buy&Hold
Chart

Raymond James Financial (RJF) on the weekly chart

The timeframe our backtest found best for this asset. The chart is live market data; the results above are hypothetical and historical.

Chart by TradingView. Loading it contacts tradingview.com, which may set its own cookies — see our privacy policy.

NOTHING BEAT BUY-AND-HOLD
Full strategy report — every setup ranked out-of-sample, corrected for data-mining, and forward-tracked in public.
Read the verdict
Confluence · Weekly

Best multi-indicator combo

StochasticQQE

Going long only when all 2 agree was the strongest confluence setup we found for Raymond James Financial (RJF) — trailing buy-and-hold by 8.4% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

6.8%
CAGR
0.41
Sharpe
65.6%
Win rate
61
Trades
-8.4%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
Demand Index
-1.4% · Sharpe 0.62
Daily
McGinley 200 Trend
+0.4% · Sharpe 0.58
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Demand Index ✓Weekly13.9%0.62-48.0%70.2%121-1.4%
2LSMA 10/30 Cross ✓Weekly13.0%0.6-53.4%60.4%91-2.3%
3Hull MA 10/40 Cross ✓Weekly13.1%0.6-60.6%56.4%94-2.2%
4McGinley 200 Trend ✓Daily15.7%0.58-73.7%21.1%190.4%
5SMA 5/20 Cross ✓Weekly11.7%0.55-54.4%58.2%67-3.6%
6WaveTrend (8/6/4) ✓Weekly10.1%0.54-57.3%91.4%35-5.2%
7Chandelier Exit ✓Weekly11.8%0.54-49.4%42.7%89-3.4%
8Zero-Lag EMA Cross ✓Weekly11.1%0.54-72.0%51.5%99-4.1%
9ZLEMA 10/30 Cross ✓Weekly11.1%0.54-72.0%51.5%99-4.1%
10Hull MA 20/80 Cross ✓Weekly10.9%0.54-60.0%58.8%51-4.4%
11Stochastic RSI ✓Daily9.9%0.53-56.6%64.3%342-5.4%
12McGinley 100 Trend ✓Daily17.0%0.61-69.7%30.8%131.7%
13Vertical Horizontal Filter ✓Daily7.0%0.52-54.2%44.1%338-8.3%
14WMA 10/30 Cross ✓Weekly10.6%0.52-46.2%51.9%52-4.7%

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

The leverage question

What it would take to beat buy & hold on Raymond James Financial (RJF)

1 of 706 tested setups beat buy-and-hold on Raymond James Financial (RJF) outright. Another 245 could get there with leverage they would survive — but 383 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
Demand Index1none needed2.72×
QQE—1.35×2.57×
SMC: Liquidity Sweep—1.35×3.2×
WaveTrend (8/6/4)—1.42×4.31×
McGinley Dynamic—1.46×3.07×
Ehlers Reflex—1.5×3.1×

Out-of-sample, costs included. A setup is only listed if the leverage it needs is less than the leverage its own worst drawdown survives — when it isn't, no amount of leverage gets there. Volatility drag isn't modelled, so these are the optimistic case. Every indicator, ranked this way

What this means

For Raymond James Financial (RJF), Demand Index on the weekly timeframe gave the best balance of return and risk in our test. It still trailed buy-and-hold on raw return — 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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