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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
$8.41
▼ $0.06 (-0.7%)
Market data updated: 09/19 01:32 AM
News analyzed: 09/18/2026
Market Cap
$614.59M
Day Range
$8.39 - $8.72
52-Week Range
$6.29 - $12.31
Beta
—
Next Earnings
07.12.2026
Support
$7.90
Resistance
$9.49
CGNT is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+3.5% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 4/13 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
🟡 Mixed
Technical Trend
🟡 Mixed
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
MACD
MACD histogram is positive — rising momentum
Technical
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: 0.43 (3y annualized return 19.1% / max drawdown 44.3%)
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 2 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 2
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
64
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.
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
No data available
Quality
No data available
Value
No data available
Momentum
54
Risk
42
Sentiment
100
Fundamental
No data available
Institutional
100
Stocks with a similar DNA right now
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of **Cognyte Software Ltd.** has focused on its upcoming financial disclosures and industry presence. The company announced its **second-quarter FYE27 financial results** will be released on **September 9, 2026**, while also highlighting its participation in the **IAFCI International Conference (August 25–27, 2026)** in Nashville, where it will demonstrate its **financial crimes investigation technology**. No other substantive details or recent controversies are reported in the provided sources.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Cognyte Software Ltd.. News trend score: 100. Reason: 11 of the last 20 articles are positive, versus 2 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
17
🎯 Conviction (vs. Emotion)
50
Psychology
19
Fundamentals
—
Technical
54
Valuation
—
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+4%
Market Narrative
61
Fundamental Reality
50
Narrative Gap
+11
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant anchoring behavior reflects traders’ focus on the 2.4% support level, a common reaction when price nears a psychological barrier. The low FOMO and panic scores (6 and 18) imply limited emotional urgency, despite elevated volume, which may stem from cautious positioning rather than panic or herd-driven moves. The narrative gap (-6) hints at a slight disconnect between market sentiment (44) and objective conditions (50), possibly reinforcing reliance on the support anchor. The key question is whether the stock’s proximity to support will sustain anchoring or if external catalysts could shift focus away from this level.
Updated: 09/09/2026, 08:04 AM
What could change this?
👥 What the crowd believes
"Cognyte will showcase its financial crimes investigation technology at the IAFCI International Conference"
📈 7D Investor Psychology
Signal classification confidence: Medium (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
Thorstein Veblen — 80/100
🔴 Weakest match
Morgan Housel — 4/100
🗣️ Why do they disagree?
This stock’s starkly divided verdicts reflect a deep chasm between methodologies that prioritize fundamental strength and those skeptical of its risk or market positioning. At the top, Mackay’s near-perfect score suggests no crowd-driven mania, while Nelson and Veblen see it as favorably positioned—either in a cyclical trough or aligned with real economic growth. Meanwhile, Marks (both cycle and general) still finds it early-to-mid cycle, though with slightly more caution than the others. The middle tier—Graham, Fisher, Lynch, and Bagehot—all hit dead ends due to insufficient data, highlighting how this stock’s murky fundamentals leave traditional value and growth investors without clear signals. On the flip side, Loeb, Malkiel/Bogle, Livermore, and Housel paint a far bleaker picture: Loeb flags existential risk, the efficient-market camp dismisses it outright, Livermore sees it as counter-trend, and Housel’s low score underscores its volatility as a psychological trap for patient investors. The contrast underscores whether this stock’s ambiguity is a missed opportunity for disciplined investors or a red flag for those wary of uncertainty.
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 80
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 71
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 50
Not enough balance-sheet/valuation data for a real Graham read
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 50
Not enough fundamentals data for a real Fisher read
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Peter Lynch
One Up on Wall Street (1989)
🟡 50
Not enough growth data for a real Lynch read
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Walter Bagehot
Lombard Street (1873)
🟡 50
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 50
Not enough valuation data for a real Enterprising-Graham read
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 46
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 43
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 43
Somewhere in the middle of the cycle
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 42
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 33
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
Jack Schwager
Market Wizards (1989)
🔴 26
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 25
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 15
Not enough dividend/growth data for a real Smith read
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 4
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Based on the last 279 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (4 bullish · 4 bearish · 3 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.
Sentiment based on basic keywords (not AI) — 11 positive, 7 neutral, 2 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 15.9.2026
Benzinga · 15.9.2026
SeekingAlpha · 11.9.2026
Yahoo · 9.9.2026
GuruFocus.com · 9.9.2026
Yahoo · 9.9.2026
Moby · 9.9.2026
Yahoo · 9.9.2026
MarketBeat · 9.9.2026
SeekingAlpha · 9.9.2026
Yahoo · 9.9.2026
InvestorsHub · 9.9.2026
Yahoo · 9.9.2026
Zacks · 9.9.2026
Yahoo · 9.9.2026
Business Wire · 9.9.2026
Benzinga · 9.9.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Cognyte Software Ltd. (CGNT) — only 3 of 7 categories are available right now. Rather than show a misleading number, this page shows which data is missing instead.
StockIQ doesn't give buy/sell recommendations — and for CGNT specifically, there currently isn't enough real data (only 3 of 7 categories available) to state even a factual score reliably. Check back once more data is available.
CGNT's technical score is 54/100, which currently reads as neutral — 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: MACD histogram is positive — rising momentum; RSI 51.5 — healthy positive momentum; +0.6% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: Calmar: 0.43 (3y annualized return 19.1% / max drawdown 44.3%); Price is below the 50-day average; Price is below the 200-day average.
StockIQ has no recorded dividend payment history for CGNT.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 4 purchases and 0 sales out of the last 4 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Topline Capital Partners, LP | Open Market Purchase | 12.9.2024 | 416,040 | +416,040 | $6.30 |
| Topline Capital Management, LLC | Open Market Purchase | 12.9.2024 | 416,040 | +416,040 | $6.30 |
| Topline Capital Management, LLC | Open Market Purchase | 11.9.2024 | 553,591 | +553,591 | $6.31 |
| Topline Capital Partners, LP | Open Market Purchase | 11.9.2024 | 553,591 | +553,591 | $6.31 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
551,869 shares short as of 2026-08-31 · vs. 733,490 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
36.5% of trading volume this week was short selling, vs. 35.5% 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