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The best indicator for Conagra Brands (CAG)

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

Signaling LONG right now — Relative Volatility Index (Weekly) has been long for 2 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 Conagra Brands (CAG) stands

14.86
last daily close (2026-10-23)
15.05
200-day simple moving average price 1.3% below
14.84
50-day simple moving average price 0.1% above
12.44–19.31
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.

Volatility · Weekly

Relative Volatility Index

On the weekly chart, this is the strongest risk-adjusted edge we found for Conagra Brands (CAG) over ~46.7 years — trailing buy-and-hold by 1.2% CAGR.

9.5%
CAGR
0.53
Sharpe
-52.7%
Max DD
55.5%
Win rate
2.66
Profit factor
-1.2%
vs Buy&Hold
Chart

Conagra Brands (CAG) 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

StochasticFisher Transform

Going long only when all 2 agree was the strongest confluence setup we found for Conagra Brands (CAG) — trailing buy-and-hold by 6.1% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

4.4%
CAGR
0.44
Sharpe
57.8%
Win rate
83
Trades
-6.1%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
Relative Volatility Index
-1.2% · Sharpe 0.53
Daily
SMC: Change of Character
-1.6% · Sharpe 0.52
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Relative Volatility Index ✓Weekly9.5%0.53-52.7%55.5%137-1.2%
2Demand Index ✓Weekly8.0%0.53-44.7%67.8%118-2.7%
3SMC: Change of Character ✓Daily8.9%0.52-44.6%60.5%129-1.6%
4SMA 15/60 Cross ✓Weekly7.9%0.48-48.9%47.6%21-2.8%
5SMA 20/50 Cross ✓Weekly7.8%0.47-47.1%52.4%21-2.9%
6Projection Bands ✓Weekly5.9%0.46-48.3%75.9%79-4.7%
7WMA 20/80 Cross ✓Weekly7.3%0.45-57.1%57.1%21-3.4%
8Williams %R ✓Weekly5.5%0.44-41.4%82.1%67-5.2%
9Chaikin Money Flow ✓Weekly7.2%0.44-58.1%52.0%100-3.4%
10KAMA 10/30 Cross ✓Weekly7.3%0.44-58.6%50.0%26-3.4%
11Chande-Kroll Stop (fast) ✓Weekly7.8%0.44-63.0%50.6%156-2.8%
12Markov Regime ✓Daily8.0%0.43-62.5%42.9%49-2.4%
13WaveTrend (8/6/4) ✓Weekly5.4%0.43-42.7%77.4%31-5.3%
14QQE ✓Weekly7.7%0.43-68.2%49.6%139-3.0%

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

The leverage question

What it would take to beat buy & hold on Conagra Brands (CAG)

79 of 715 tested setups beat buy-and-hold on Conagra Brands (CAG) outright. Another 18 could get there with leverage they would survive — but 17 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
TEMA 20/50 Cross2none needed2.5×
DeMarker2none needed2.13×
Ehlers Roofing Filter2none needed2.84×
Zero-Lag MACD2none needed2.78×
T3 8/21 Cross2none needed2.52×
SMA 50/200 Cross1none needed2.62×

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 Conagra Brands (CAG), Relative Volatility 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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