Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Industrials · ·
$1.43
▲ $0.09 (+6.7%)
Market data updated: 10/01 12:39 AM
Fundamentals updated: 10/01/2026
News analyzed: 10/01/2026
Market Cap
$80.09M
Day Range
$1.38 - $1.45
52-Week Range
$1.04 - $3.23
Beta
—
Next Earnings
10.11.2026
Support
$1.32
Resistance
$2.05
WRAP is a stock from the Industrials sector — Manufacturing, aerospace, defense, and infrastructure — closely tied to capital-investment cycles and economic growth.
-39.5% (1Y)
Strengths: 5/28 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
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🟢 Bullish
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
DCF Fair Value
Estimated fair value: -$2.72 vs. price $1.43 (-290.5%)
Fair Value
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 3 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 3
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
39
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
34
Quality
58
Value
38
Momentum
23
Risk
40
Sentiment
74
Fundamental
35
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 Wrap Technologies, Inc. has focused on its strategic expansion into the defense and public safety sectors, particularly through its WrapShield™ platform, which now includes laser counter-UAS technology targeting markets like Department of Defense (DoD), Department of Homeland Security (DHS), and tactical law enforcement. The company has advanced its BolaWrap 150 doctrine toward California POST certification and secured a $12 million funding round to scale operations. Additionally, Wrap appointed a new CFO and strengthened defense partnerships, reinforcing its position in high-stakes security solutions.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Wrap Technologies, Inc.. News trend score: 74. Reason: 5 of the last 15 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
30
🎯 Conviction (vs. Emotion)
43
Psychology
36
Fundamentals
35
Technical
23
Valuation
38
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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 stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-7%
Market Narrative
42
Fundamental Reality
43
Narrative Gap
-1
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
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 — 100/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for WRAP reflects deep methodological disagreements about what makes a stock attractive. Bagehot and Nelson’s high scores highlight a focus on liquidity and cyclical positioning, suggesting resilience in downturns or favorable market conditions—principles that prioritize stability and timing. In contrast, Fisher, Lynch, and Livermore’s near-zero scores stem from strict growth, valuation, and trend-based criteria, where WRAP fails to meet their thresholds for quality, affordability, or momentum. Meanwhile, Graham’s low marks and Housel’s zero underscore a mismatch with defensive investing and patience-driven strategies, while Marks’ mixed verdict hints at a business that may already be priced for optimism. The spectrum from Bagehot’s near-universal approval to Housel’s outright rejection underscores how different frameworks—whether liquidity, cycles, growth, or volatility tolerance—can lead to wildly divergent conclusions.
Walter Bagehot
Lombard Street (1873)
🟢 100
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 95
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 86
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 58
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
Jack Schwager
Market Wizards (1989)
🟡 47
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 44
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 43
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 39
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 39
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 36
Doesn't show the stability Smith's long-term case requires
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 30
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 25
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🔴 24
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 7
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
Morgan Housel
The Psychology of Money (2020)
🔴 0
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
Based on the last 288 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 9 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.
The stock is in a clear downtrend with no defined trading range in the period examined.
High 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
57.8%
Operating Margin
-288.6%
Net Margin
-221.2%
EBITDA Margin
-275.9%
ROE
-89.9%
ROA
-67.0%
ROIC
—
EPS
-$0.22
Cash
$3.47M
Total Debt
—
Current Ratio
6.29
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$1.43
Estimated Fair Value (DCF)
-$2.72
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-290.5%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
-5.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | -5.0% | $-9.87M | $-9.05M |
| 2 | -3.1% | $-9.56M | $-8.05M |
| 3 | -1.2% | $-9.44M | $-7.29M |
| 4 | 0.6% | $-9.50M | $-6.73M |
| 5 | 2.5% | $-9.74M | $-6.33M |
Base FCF (last actual year)
$-10.39M
Terminal Value
$-153.56M
Present Value of Terminal Value
$-99.81M
Enterprise Value
$-137.26M
Net Debt
$0
Equity Value
$-137.26M
*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
$0.23
Tangible Book Value per Share (Tangible NAV)
$0.20
Sentiment based on basic keywords (not AI) — 5 positive, 9 neutral, 1 negative out of the last 15 articles.
Yahoo · 17.9.2026
NewMediaWire · 2.9.2026
GlobeNewswire · 2.9.2026
GlobeNewswire · 28.8.2026
GlobeNewswire · 26.8.2026
GlobeNewswire · 26.8.2026
NewMediaWire · 24.8.2026
GlobeNewswire · 24.8.2026
NewMediaWire · 19.8.2026
GlobeNewswire · 19.8.2026
Motley Fool · 18.8.2026
GlobeNewswire · 18.8.2026
Benzinga · 17.8.2026
SeekingAlpha · 12.8.2026
Benzinga · 11.8.2026
Wrap Technologies, Inc. (WRAP) currently has a StockIQ AI score of 39/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
WRAP currently scores 39/100 (Weak) 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, WRAP's estimated fair value is -$2.72, which is 290.5% below the current price of $1.43. This is one valuation model among several signals in the fair-value category, not a price target.
WRAP's technical score is 23/100, 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: Operating margin is stable or improving over time; Current ratio: 6.29; +4.0% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: Estimated fair value: -$2.72 vs. price $1.43 (-290.5%); Operating margin: -288.6% (negative); Net margin: -221.2% (negative).
StockIQ has no recorded dividend payment history for WRAP.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 5 purchases and 0 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Cohen Scot | Grant/Award from Employer | 4.9.2026 | 10,609,087 | +19,532 | — |
| Cohen Scot | Grant/Award from Employer | 4.9.2026 | 2,042,221 | +27,344 | — |
| Cohen Scot | Grant/Award from Employer | 4.9.2026 | 19,532 | +19,532 | — |
| Cohen Scot | Grant/Award from Employer | 4.9.2026 | 27,344 | +27,344 | — |
| Novick Jared | Grant/Award from Employer | 2.9.2026 | 2,153,012 | +2,000,000 | — |
| Cohen Scot | Grant/Award from Employer | 2.9.2026 | 10,589,555 | +4,000,000 | — |
| Novick Jared | Grant/Award from Employer | 2.9.2026 | 2,000,000 | +2,000,000 | — |
| Cohen Scot | Grant/Award from Employer | 2.9.2026 | 4,000,000 | +4,000,000 | — |
| SHULMAN JOHN D | Open Market Purchase | 8.7.2026 | 100,000 | +100,000 | $1.10 |
| Cohen Scot | Open Market Purchase | 8.7.2026 | 21,740 | +21,740 | $1.10 |
| SHULMAN JOHN D | Open Market Purchase | 8.7.2026 | 199,037 | +100,000 | $1.10 |
| Cohen Scot | Open Market Purchase | 8.7.2026 | 209,353 | +209,353 | $1.10 |
| Cohen Scot | Open Market Purchase | 8.7.2026 | 6,798,908 | +21,740 | $1.10 |
| Cohen Scot | Grant/Award from Employer | 7.7.2026 | 6,408 | +6,408 | — |
| Cohen Scot | Grant/Award from Employer | 7.7.2026 | 4,576 | +4,576 | — |
| Cohen Scot | Grant/Award from Employer | 7.7.2026 | 2,014,877 | +6,408 | — |
| Cohen Scot | Grant/Award from Employer | 7.7.2026 | 6,589,555 | +4,576 | — |
| Srinivasan Rajiv | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| Szymanski Timothy | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| Savas Marc | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| Bernstein Bruce | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| SHULMAN JOHN D | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| SHULMAN JOHN D | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| Savas Marc | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
| Bernstein Bruce | Grant/Award from Employer | 1.7.2026 | 34,998 | +34,998 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
7,827,183 shares short as of 2026-09-15 · vs. 7,779,267 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
59.9% of trading volume this week was short selling, vs. 50.4% 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