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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$348.80
▲ $4.55 (+1.3%)
Market data updated: 09/20 08:08 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$49.46B
Day Range
$338.35 - $358.00
52-Week Range
$133.67 - $637.51
Beta
—
Next Earnings
09.12.2026
Support
$311.60
Resistance
$466.66
CIEN is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+152.7% (1Y)
Strengths: 9/30 factors positiveRisk: Medium
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
🟡 Mixed
Technical Trend
🔴 Bearish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 46.6%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $83.07 vs. price $348.80 (-76.2%)
Fair Value
Signal tension
Growth scores strong (79/100), but fair-value analysis scores this stock as relatively expensive (33/100) — the growth story and the current price aren't fully aligned.
What to watch next
When today echoes the past.
71/100
Similarity
15
Historical Matches
87/100
Analog Quality
+11.7%
Median 40D Outcome
37/100
Pattern Consistency
🟢 Bullish
53%
+6.5% … +12.7%
🟡 Base
0%
— … —
🔴 Bearish
47%
-10.8% … -5.9%
Typical timeframe (based on real historical rates clearing a 60% bar): 40 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 53% (95% CI 30%–75%) saw the stock rise within 20 trading days, with a median gain of +4.3%.
Echo #1 — Oversold Reversal
4 occurrence(s) · 25% 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 | 47% (25%–70%) | +0.9% | -2.6% … +6.8% | +0.6% |
| 10D | 47% (25%–70%) | -0.3% | -8.0% … +6.8% | +0.7% |
| 20D | 53% (30%–75%) | +4.3% | -8.8% … +9.6% | +1.9% |
| 40D | 73% (48%–89%) | +11.7% | +1.7% … +21.8% | +4.6% |
| 60D | 67% (42%–85%) | +10.0% | -5.6% … +24.9% | +7.6% |
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 |
|---|---|---|---|---|
| 2022-09-28 | 71/100 | Downtrend | +9.3% | +16.4% |
| 2022-06-23 | 69/100 | Downtrend | +5.0% | -10.6% |
| 2022-11-23 | 68/100 | Consolidation | +11.3% | +8.7% |
| 2025-04-17 | 67/100 | High Volatility | +35.1% | +39.9% |
| 2022-05-31 | 66/100 | Downtrend | -10.3% | +9.2% |
| 2017-08-29 | 66/100 | Consolidation | -7.2% | -12.7% |
| 2025-04-02 | 63/100 | High Volatility | +9.8% | +25.1% |
| 2022-10-20 | 62/100 | Downtrend | +6.9% | +24.8% |
| 2022-09-12 | 62/100 | Downtrend | -10.7% | -0.6% |
| 2022-03-25 | 60/100 | High Volatility | -4.6% | -27.0% |
| 2017-11-17 | 60/100 | Downtrend | +4.3% | +14.6% |
| 2020-11-04 | 60/100 | Downtrend | +17.1% | +35.3% |
| 2026-06-24 | 59/100 | ✓ High Volatility | -12.1% | -24.7% |
| 2020-10-02 | 59/100 | Downtrend | -1.8% | +30.4% |
| 2025-03-17 | 58/100 | Consolidation | -10.9% | +10.0% |
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
52
Today
—
30D
—
90D
—
1Y
🐂🐻 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 August 23, 2026
Then
46
$395.79
Now
52
$348.80
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
79
Quality
42
Value
33
Momentum
36
Risk
48
Sentiment
100
Fundamental
50
Institutional
0
Stocks with a similar DNA right now
SCANNING CIEN...
Recent media coverage of Ciena has primarily focused on its strong financial performance, particularly its **37% revenue growth** and **215% surge in adjusted earnings per share** in fiscal Q3, driven by AI-driven demand for high-speed networking solutions. Analysts highlighted its robust business momentum, though some questioned whether its stock valuation remains justified amid recent pullbacks. The company was also briefly mentioned alongside peers like NetApp in broader discussions of AI infrastructure trends.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Ciena. News trend score: 100. Reason: 18 of the last 20 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
31
🎯 Conviction (vs. Emotion)
36
Psychology
45
Fundamentals
50
Technical
36
Valuation
33
The price rise has far outpaced the actual improvement in fundamental data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
-19%
Market Narrative
73
Fundamental Reality
36
Narrative Gap
+37
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests a tension between detached optimism (euphoria, overconfidence) and cautious hedging (loss aversion). The extreme DCF premium (+311%) and positive sentiment (100/100) contrast sharply with weak momentum, indicating investors may be ignoring fundamentals. The narrative gap (29 points) further implies a disconnect between market perception and reality. The key question is whether the overconfidence-driven rally can sustain itself against the backdrop of negative momentum and peer underperformance. The dominant overconfidence may persist until price momentum aligns with earnings growth or sentiment shifts.
Updated: 09/09/2026, 12:53 AM
What could change this?
👥 What the crowd believes
"Ciena’s fiscal Q3 revenue climbed 37% to $1.67 billion"
"Ciena’s fiscal Q3 revenue climbed 37% to $1.67 billion, while adjusted earnings per share rose 215%"
"Don't Overlook These 2 AI-Driven Tech Stocks After Earnings: CIEN, NTAP"
📈 17D 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
Walter Bagehot — 86/100
🔴 Weakest match
Benjamin Graham — 26/100
🗣️ Why do they disagree?
The methodologies for CIEN split sharply between bullish and cautious camps, with a few neutral or mixed perspectives in between. The highest-scoring models—Samuel Armstrong Nelson (87), Walter Bagehot (86), and Howard Marks’ market-cycle approach (79)—all see favorable conditions, whether through technical oversold signals, resilient liquidity, or an early-stage market cycle. Meanwhile, the most bearish frameworks, like Jesse Livermore’s (15) and Benjamin Graham’s (26), flag red flags: Livermore’s model rejects the stock outright due to trend opposition, while Graham’s strict criteria dismiss it as too risky. The middle ground, including Fisher (53), Lynch (49), and the efficient-market duo (45), acknowledges some merit but questions whether the stock’s growth or valuation justifies a long-term hold or active selection over passive investing. The divergence highlights a tension between cyclical optimism and fundamental caution, with only a few methodologies finding enough justification to lean decisively toward CIEN.
Walter Bagehot
Lombard Street (1873)
🟢 86
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 67
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 65
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 60
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 57
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 54
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 53
Solid, but not the exceptional quality Fisher looked for
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)
🟡 51
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
Morgan Housel
The Psychology of Money (2020)
🟡 51
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 49
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 47
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 47
Moderate risk 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)
🟡 42
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 28
Negative trend — against Livermore's core rule of trading with the trend
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 26
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
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 a downtrend (2 bullish · 6 bearish · 2 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.
The stock is in a clear downtrend with no defined trading range in the period examined.
Medium confidence
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
42.0%
Operating Margin
4.1%
Net Margin
2.6%
EBITDA Margin
4.1%
ROE
4.5%
ROA
2.1%
ROIC
—
EPS
$0.87
Cash
$1.09B
Total Debt
$1.54B
Current Ratio
2.73
Debt/Equity
0.56
How is Fair Value calculated? →
Current Price
$348.80
Estimated Fair Value (DCF)
$83.07
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-76.2%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
10.4%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 10.4% | $734.21M | $673.58M |
| 2 | 8.4% | $795.83M | $669.84M |
| 3 | 6.4% | $847.00M | $654.04M |
| 4 | 4.5% | $884.82M | $626.83M |
| 5 | 2.5% | $906.94M | $589.45M |
Base FCF (last actual year)
$665.29M
Terminal Value
$14.30B
Present Value of Terminal Value
$9.30B
Enterprise Value
$12.51B
Net Debt
$443.79M
Equity Value
$12.07B
*The DCF model is an estimate based on assumptions — not a guaranteed forecast. You can change the assumptions to examine different scenarios.
Book Value per Share
$18.79
Tangible Book Value per Share (Tangible NAV)
$13.66
Sentiment based on basic keywords (not AI) — 18 positive, 2 neutral, 0 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Benzinga · 18.9.2026
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Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
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Yahoo · 17.9.2026
SeekingAlpha · 17.9.2026
SeekingAlpha · 17.9.2026
Yahoo · 17.9.2026
Benzinga · 17.9.2026
Benzinga · 17.9.2026
Benzinga · 17.9.2026
Benzinga · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Ciena (CIEN) currently has a StockIQ AI score of 52/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
CIEN currently scores 52/100 (Moderate) 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.
Per StockIQ's DCF model, CIEN's estimated fair value is $83.07, which is 76.2% below the current price of $348.80. This is one valuation model among several signals in the fair-value category, not a price target.
CIEN's technical score is 36/100, which currently reads as bearish — 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: Earnings per share (EPS) growth: 46.6%; Free cash flow growth: 76.1%; Net income growth: 46.9%.
Based on the real signals StockIQ computed: Estimated fair value: $83.07 vs. price $348.80 (-76.2%); Operating margin is eroding over time; ATR: 7.5% of price.
StockIQ has no recorded dividend payment history for CIEN.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 23 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| SMITH GARY B | Open Market Sale | 1.9.2026 | 2,952 | -2,952 | $362.90 |
| Gage Brodie | Open Market Sale | 17.8.2026 | 1,200 | -1,200 | $439.24 |
| SMITH GARY B | Open Market Sale | 17.8.2026 | 2,952 | -2,952 | $447.78 |
| Graff Marc D. | Open Market Sale | 14.8.2026 | 4,995 | -4,995 | $430.72 |
| Rothenstein David M | Open Market Sale | 14.8.2026 | 2,500 | -2,500 | $438.10 |
| SMITH GARY B | Open Market Sale | 3.8.2026 | 2,952 | -2,952 | $379.81 |
| SMITH GARY B | Open Market Sale | 3.8.2026 | 248,982 | -2,952 | $379.81 |
| Graff Marc D. | Tax Withholding in Shares | 1.8.2026 | 14,441 | -14,441 | $377.05 |
| Graff Marc D. | Tax Withholding in Shares | 1.8.2026 | 112,514 | -14,441 | $377.05 |
| DiPerna Dino | Open Market Sale | 15.7.2026 | 391 | -391 | $449.15 |
| Gage Brodie | Open Market Sale | 15.7.2026 | 1,200 | -1,200 | $449.15 |
| DiPerna Dino | Open Market Sale | 15.7.2026 | 391 | -391 | $449.15 |
| Rothenstein David M | Open Market Sale | 15.7.2026 | 2,500 | -2,500 | $420.91 |
| SMITH GARY B | Open Market Sale | 15.7.2026 | 2,952 | -2,952 | $421.10 |
| SMITH GARY B | Open Market Sale | 15.7.2026 | 251,934 | -2,952 | $421.10 |
| Rothenstein David M | Open Market Sale | 15.7.2026 | 182,731 | -2,500 | $420.91 |
| DiPerna Dino | Open Market Sale | 15.7.2026 | 40,015 | -391 | $449.15 |
| DiPerna Dino | Open Market Sale | 15.7.2026 | 39,624 | -391 | $449.15 |
| Gage Brodie | Open Market Sale | 15.7.2026 | 39,607 | -1,200 | $449.15 |
| SMITH GARY B | Open Market Sale | 1.7.2026 | 2,952 | -2,952 | $468.83 |
| Phipps Jason | Open Market Sale | 1.7.2026 | 2,629 | -2,629 | $466.20 |
| Graff Marc D. | Open Market Sale | 1.7.2026 | 126 | -126 | $466.20 |
| Kosaraju Sheela | Open Market Sale | 1.7.2026 | 2,013 | -2,013 | $466.20 |
| SMITH GARY B | Open Market Sale | 1.7.2026 | 254,886 | -2,952 | $468.83 |
| Phipps Jason | Open Market Sale | 1.7.2026 | 62,382 | -2,629 | $466.20 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
3,345,857 shares short as of 2026-08-31 · vs. 3,711,106 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
46.6% of trading volume this week was short selling, vs. 43.5% 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