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The best indicator for Fortinet (FTNT)

We backtested 382 indicators across daily, weekly and hourly charts on real Fortinet (FTNT) history. Here's what actually worked — risk-adjusted, out-of-sample, with costs.

Signaling LONG right now — Markov Regime (Confirmed) (Weekly) has been long for 37 bars. Signal computed on 2026-09-07, 2 days behind the price data on this page (it is rebuilt on a separate schedule).
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Key levels · as of 2026-09-09

Where Fortinet (FTNT) stands

157.22
last daily close (2026-09-09)
110.83
200-day simple moving average price 41.9% above
158.94
50-day simple moving average price 1.1% below
75.23–172.78
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.

Trend · Weekly

Markov Regime (Confirmed)

On the weekly chart, this is the strongest risk-adjusted edge we found for Fortinet (FTNT) over ~16.6 years — trailing buy-and-hold by 5.1% CAGR.

25.6%
CAGR
0.97
Sharpe
-37.8%
Max DD
62.1%
Win rate
3.1
Profit factor
-5.1%
vs Buy&Hold
Chart

Fortinet (FTNT) 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

StochasticQQE

Going long only when all 2 agree was the strongest confluence setup we found for Fortinet (FTNT) — trailing buy-and-hold by 23.9% CAGR, out-of-sample. Fewer, higher-conviction trades than any single indicator.

7.1%
CAGR
0.4
Sharpe
54.7%
Win rate
117
Trades
-23.9%
vs Buy&Hold
Best by timeframe

The winner on each chart

Weekly
Markov Regime (Confirmed)
-5.1% · Sharpe 0.97
Daily
McGinley 200 Trend
-2.9% · Sharpe 0.81
Full results

Every indicator, ranked

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

#IndicatorTFCAGRSharpeMax DDWinTradesvs B&H
1Markov Regime (Confirmed) Weekly25.6%0.97-37.8%62.1%66-5.1%
2Pring's Special K Weekly18.3%0.93-24.3%53.8%39-12.4%
3Bandpass Oscillator Weekly26.1%0.9-52.3%50.0%40-4.6%
4Chande Momentum Osc. Weekly23.4%0.85-51.1%40.0%55-7.2%
5McGinley 200 Trend Daily28.1%0.81-51.2%13.3%15-2.9%
6Connors RSI-2 Daily16.6%0.79-33.9%69.4%180-14.5%
7Markov Regime Weekly23.2%0.79-36.0%50.0%18-7.5%
8McGinley 100 Trend Daily26.8%0.78-50.4%22.2%18-4.2%
9MACD Weekly18.8%0.78-47.8%43.3%30-11.9%
10Stochastic Momentum Index Weekly16.0%0.78-31.7%88.2%17-14.7%
11Three White Soldiers Weekly18.9%0.78-37.6%70.6%51-11.8%
12WaveTrend (8/6/4) Weekly18.4%0.83-34.3%92.9%14-12.3%
13WMA 10/30 Cross Daily20.8%0.77-59.9%43.2%88-10.3%
14TRIX (15) Daily21.0%0.77-62.4%42.2%45-10.1%

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

The leverage question

What it would take to beat buy & hold on Fortinet (FTNT)

6 of 591 tested setups beat buy-and-hold on Fortinet (FTNT) outright. Another 94 could get there with leverage they would survive — but 285 would be liquidated by their own drawdown before they caught it.

IndicatorBeats B&H unlevered Leverage neededLeverage survived
Markov Regime (Confirmed)2none needed3.07×
Relative Volatility Index1none needed2.64×
Ehlers Reflex1none needed4.48×
Pivot Points (Standard)1none needed3.82×
SMC: Liquidity Sweep1none needed3.92×
Connors RSI-21.1×5.4×

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 Fortinet (FTNT), Markov Regime (Confirmed) 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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