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The best indicator for Zebra Technologies (ZBRA)

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

Signaling FLAT right now — Camarilla Pivots (Weekly) is out of the market. 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 Zebra Technologies (ZBRA) stands

386.45
last daily close (2026-10-23)
277.12
200-day simple moving average price 39.5% above
366.33
50-day simple moving average price 5.5% above
199.30–391.00
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.

Mean Reversion · Weekly

Camarilla Pivots

On the weekly chart, this is the strongest risk-adjusted edge we found for Zebra Technologies (ZBRA) over ~35.3 years — trailing buy-and-hold by 2.4% CAGR.

11.4%
CAGR
0.54
Sharpe
-44.3%
Max DD
54.0%
Win rate
1.35
Profit factor
-2.4%
vs Buy&Hold
Chart

Zebra Technologies (ZBRA) 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 · Daily

Best multi-indicator combo

EMA 20/50 CrossDeMarker

Going long only when all 2 agree was the strongest confluence setup we found for Zebra Technologies (ZBRA) — trailing buy-and-hold by 6.5% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

5.8%
CAGR
0.52
Sharpe
57.5%
Win rate
87
Trades
-6.5%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
Camarilla Pivots
-2.4% · Sharpe 0.54
Daily
Detrended Price Osc.
-1.6% · Sharpe 0.53
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Camarilla Pivots ✓Weekly11.4%0.54-44.3%54.0%378-2.4%
2Detrended Price Osc. ✓Daily12.2%0.53-62.2%50.2%980-1.6%
3Stochastic ✓Daily10.9%0.51-55.6%72.3%166-2.8%
4SMA 10/30 Cross ✓Weekly11.1%0.51-53.0%46.2%26-2.6%
5Zero-Lag MACD ✓Weekly11.1%0.51-54.3%54.8%157-2.6%
6WMA 10/40 Cross ✓Weekly11.1%0.51-48.8%48.3%29-2.7%
7EMA Cascade Rider ✓Weekly10.2%0.51-48.4%58.3%24-3.5%
8Volume Flow Indicator ✓Daily10.7%0.49-57.5%35.9%64-3.1%
9Supertrend (14,4) ✓Weekly10.5%0.49-53.6%53.3%15-3.3%
10QQE ✓Daily11.8%0.48-69.3%44.6%527-1.9%
11McGinley 200 Trend ✓Daily12.0%0.48-73.4%17.6%17-1.8%
12Ehlers Roofing Filter ✓Weekly9.7%0.48-57.8%56.7%30-4.0%
13Lorentzian Classification ✓Weekly10.3%0.48-66.7%51.2%365-3.4%
14Ichimoku Cloud ✓Weekly9.5%0.47-62.4%37.5%32-4.3%

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

The leverage question

What it would take to beat buy & hold on Zebra Technologies (ZBRA)

26 of 658 tested setups beat buy-and-hold on Zebra Technologies (ZBRA) outright. Another 198 could get there with leverage they would survive — but 336 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
Zero-Lag MACD2none needed2.01×
Trend Regularity Adaptive MA11.09×2.36×
McGinley Dynamic11.32×1.89×
SMA 200 Trend11.33×2.31×
SMC: Order Block11.58×2.66×
Williams %R (28)11.79×2.56×

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 Zebra Technologies (ZBRA), Camarilla Pivots 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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