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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$169.84
▼ $2.74 (-1.6%)
Market data updated: 09/19 02:18 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$124.61B
Day Range
$166.09 - $172.94
52-Week Range
$73.55 - $176.10
Beta
—
Next Earnings
03.11.2026
Support
$143.77
Resistance
$176.10
FTNT is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+114.9% (1Y)
Strengths: 17/30 factors positiveRisk: High
This score and all analysis on this page are for informational and educational purposes only and do not constitute investment advice. Read the full disclaimer
Weighted: Technical 25% · Fundamental 20% · Growth 15% · Valuation 15% · News 10% · Quality 10% · Risk 5%
Overall Score
🟢 Bullish
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Operating margin stability
Operating margin is stable or improving over time
Quality
Biggest negative driver
Daily volatility (ATR)
ATR: 4.1% of price
Risk
What to watch next
When today echoes the past.
81/100
Similarity
15
Historical Matches
90/100
Analog Quality
+4.0%
Median 40D Outcome
40/100
Pattern Consistency
🟢 Bullish
67%
+5.3% … +9.6%
🟡 Base
0%
— … —
🔴 Bearish
33%
-21.6% … -7.6%
Typical timeframe (based on real historical rates clearing a 60% bar): 20 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 67% (95% CI 42%–85%) saw the stock rise within 20 trading days, with a median gain of +5.2%.
Echo #1 — Trend Acceleration
15 occurrence(s) · 67% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 27% (11%–52%) | -1.2% | -5.5% … +0.8% | +1.0% |
| 10D | 40% (20%–64%) | -1.1% | -5.3% … +5.9% | +1.5% |
| 20D | 67% (42%–85%) | +5.2% | -7.2% … +9.5% | +2.8% |
| 40D | 53% (30%–75%) | +4.0% | -7.1% … +15.0% | +5.7% |
| 60D | 53% (30%–75%) | +2.8% | -8.1% … +21.7% | +8.6% |
Sample size: 15 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2020-07-09 | 81/100 | Uptrend | -6.7% | -22.2% |
| 2018-08-09 | 80/100 | High Volatility | +14.7% | -2.7% |
| 2018-10-01 | 78/100 | Uptrend | -16.0% | -23.7% |
| 2021-10-20 | 77/100 | Uptrend | +2.4% | -6.3% |
| 2021-12-30 | 77/100 | High Volatility | -21.6% | -5.9% |
| 2018-02-20 | 76/100 | Uptrend | +9.6% | +19.5% |
| 2018-05-14 | 76/100 | Uptrend | +7.7% | +22.7% |
| 2018-06-15 | 76/100 | Uptrend | +1.5% | +33.6% |
| 2021-04-01 | 75/100 | Uptrend | +9.6% | +32.5% |
| 2021-11-09 | 75/100 | Uptrend | -7.6% | -9.9% |
| 2021-03-16 | 75/100 | Uptrend | +5.2% | +20.8% |
| 2021-05-26 | 75/100 | Uptrend | +11.3% | +38.1% |
| 2023-07-14 | 74/100 | Uptrend | -24.4% | -24.6% |
| 2026-06-16 | 73/100 | Uptrend | +9.4% | +6.2% |
| 2025-02-03 | 73/100 | Uptrend | +5.5% | +2.8% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLK (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
TIME ECHO identifies historical situations that resemble the current market state. Historical outcomes are not guarantees of future performance. Similarity does not imply causation, and results may change as new data becomes available.
🗓️ What Changed This Week
🌱 Building History
We don't have a real data point from a week ago for this stock yet. The weekly comparison will appear once enough history has accumulated.
📊 Score History
70
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
4d ago · $170.18
Evidence: FOMO score jumped from 17 to 42 day-over-day
What happened after
Still awaiting outcome
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
This isn't a price-direction forecast — just a synthesis of real, already-computed data, and future conditions that could change the picture.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of September 19, 2026
Then
70
$169.84
Now
70
$169.84
What happened since
Signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
59
Quality
58
Value
45
Momentum
85
Risk
42
Sentiment
100
Fundamental
78
Institutional
0
Stocks with a similar DNA right now
SCANNING FTNT...
Recent media coverage of Fortinet has primarily focused on its **strategic partnerships and product expansions**, particularly the new disaster recovery support from ControlMonkey, which enhances configuration backup and rapid recovery for Fortinet’s security products. Additionally, Fortinet has been highlighted as a **founder-led technology company** driving innovation and long-term growth, alongside peers like NVIDIA and Dell. While broader sector comparisons and competitor analyses (e.g., Cisco, CrowdStrike) dominate headlines, Fortinet’s focus remains on **enterprise security solutions and resilience improvements**.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Fortinet. News trend score: 100. Reason: 15 of the last 20 articles are positive, versus 1 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
44
🎯 Conviction (vs. Emotion)
41
Psychology
59
Fundamentals
78
Technical
85
Valuation
45
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+19%
Market Narrative
65
Fundamental Reality
41
Narrative Gap
+24
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market’s dominant herding behavior suggests traders are aligning with peers rather than independent analysis, consistent with FTNT’s synchronized decline alongside tech peers. Euphoria lingers due to strong momentum and overvaluation, while overconfidence in price action over fundamentals may drive further participation. The narrative gap (69 vs. 41) hints at detached optimism, but the key question remains: *Will momentum sustain despite the stock’s peer-linked underperformance?*
Updated: 09/09/2026, 01:50 PM
What could change this?
👥 What the crowd believes
"Fortinet's AI security push and rising earnings estimates make it a standout GARP stock to watch."
"ControlMonkey extends disaster recovery capabilities to Fortinet, adding support for configuration backup and rapid recovery across Fortinet security products."
"Fortinet stands out as a founder-run company with strong vision, innovation and long-term growth drivers."
🧠 Market Brain events driving this
📈 11D Investor Psychology
Signal classification confidence: High (confidence in the behavioral read, not a price prediction). Describes observable market behavior, not what any individual investor thinks, and is not a buy/sell signal.
🏛️ Investor DNA — Historical Investors
A Historical Strategy Simulation: assuming each investor follows their documented principles, how would they rate this stock today? This is not a prediction of what they would actually do.
🟢 Best match
Philip Fisher — 77/100
🔴 Weakest match
Samuel Armstrong Nelson — 10/100
🗣️ Why do they disagree?
The stark divide in verdicts for FTNT reflects deep methodological contrasts between growth-focused and value-driven investors. Philip Fisher and Samuel Armstrong Nelson, both drawn to strong fundamentals and cyclical positioning, rate it highly—Fisher praising its exceptional quality and Nelson seeing a favorable cycle. In contrast, value-oriented thinkers like Benjamin Graham and Howard Marks dismiss it outright, with Graham calling it a defensive failure and Marks flagging its risk/valuation as a late-cycle red flag. Meanwhile, market efficiency proponents like Bogle and Livermore sit neutral, skeptical of active stock-picking, while volatility-averse investors like Housel and Loeb warn of emotional pitfalls or capital threats. The middle ground—where Smith, Veblen, and Schwager see mixed signals—shows a stock that excites some but lacks consensus on sustainability or timing.
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 77
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 59
Mixed case — the evidence for picking this stock over an index is not strong
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 57
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 51
Reasonable but not a clear long-term holding
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 48
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟡 46
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🔴 31
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🔴 30
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 30
No real setup here — the discipline Schwager's wizards shared would say stay out
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 29
Risk profile Loeb would flag as a real threat to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🔴 25
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 23
Looks late-cycle — the position Marks would treat with extra caution
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 18
The kind of volatility that tends to shake patient holders out
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 11
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 11
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 10
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (9 bullish · 1 bearish · 1 neutral)
A market-structure read based purely on real price and volume data — not full classic Wyckoff schematic identification (Phase A-E), but a quantitative analysis of what can reliably be computed: trading ranges, "effort vs. result", volume within the range, and Spring/Upthrust detection.
A pattern consistent with an early/mid distribution phase — a trading range after an advance with declining volume.
Medium confidence
$143.77
Range Bottom
$176.10
Range Top
50
Trading Days in Range
The Wyckoff Method, developed by Richard Wyckoff in the early 20th century, reads the balance of supply and demand through price and volume, based on the premise that large investors ("smart money") quietly accumulate shares before rallies and quietly distribute them before declines. The read here is based solely on real price and volume data — full, precise identification of classic Wyckoff patterns (such as Phases A-E) requires human chart-reading experience and judgment, so this is an approximate algorithmic read, not a substitute for professional analysis. This should not be considered investment advice.
Gross Margin
80.5%
Operating Margin
30.7%
Net Margin
27.3%
EBITDA Margin
32.9%
ROE
149.8%
ROA
17.8%
ROIC
—
EPS
$2.45
Cash
$2.50B
Total Debt
$996.30M
Current Ratio
1.17
Debt/Equity
0.81
אין נתונים היסטוריים זמינים.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$1.62
Tangible Book Value per Share (Tangible NAV)
$1.15
Sentiment based on basic keywords (not AI) — 15 positive, 4 neutral, 1 negative out of the last 20 articles.
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Fortinet (FTNT) currently has a StockIQ AI score of 70/100, rated "Strong". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
FTNT currently scores 70/100 (Strong) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
FTNT's technical score is 85/100, which currently reads as bullish — based on real price/volume signals (moving averages, RSI, MACD, and more), not a prediction of what happens next.
Based on the real signals StockIQ computed: Operating margin is stable or improving over time; Return on equity (ROE): 149.8% — strong; Price is above the 50-day average.
Based on the real signals StockIQ computed: ATR: 4.1% of price; P/E: 70.2; %K 85.5 — overbought.
StockIQ has no recorded dividend payment history for FTNT.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 9 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Kan Derek T. | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Hsieh Ming | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| STAVRIDIS JAMES G. | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| GOLDMAN KENNETH A | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Napolitano Janet | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Sim Judith | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Hu Jean X. | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| GOLDMAN KENNETH A | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Hu Jean X. | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Kan Derek T. | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Hsieh Ming | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Sim Judith | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Napolitano Janet | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| STAVRIDIS JAMES G. | Grant/Award from Employer | 12.8.2026 | 1,836 | +1,836 | — |
| Ohlgart Christiane | Open Market Sale | 4.8.2026 | 387 | -387 | $164.59 |
| Ohlgart Christiane | Open Market Sale | 4.8.2026 | 10,393 | -387 | $164.59 |
| Xie Ken | Exercise of Derivative Securities | 3.8.2026 | 155,000 | -155,000 | — |
| Xie Ken | Open Market Sale | 3.8.2026 | 47,943 | -47,943 | $163.91 |
| Xie Ken | Open Market Sale | 3.8.2026 | 67,971 | -67,971 | $163.08 |
| Xie Ken | Open Market Sale | 3.8.2026 | 18,409 | -18,409 | $160.14 |
| Xie Ken | Open Market Sale | 3.8.2026 | 162 | -162 | $164.49 |
| Xie Ken | Open Market Sale | 3.8.2026 | 19,647 | -19,647 | $160.82 |
| Xie Ken | Open Market Sale | 3.8.2026 | 7,350 | -7,350 | $161.82 |
| Xie Michael | Open Market Sale | 3.8.2026 | 800 | -800 | $163.98 |
| Xie Ken | Exercise of Derivative Securities | 3.8.2026 | 155,000 | +155,000 | $22.90 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
13,556,993 shares short as of 2026-08-31 · vs. 14,384,628 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
64.2% of trading volume this week was short selling, vs. 62.8% the prior week
Based on daily short-sale volume (Reg SHO) — a different metric from the open short interest above: this is daily trading volume, not an open position, so it updates weekly rather than biweekly.
Full breakdown of every data type and its source: Data Sources · Methodology