Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$5.53
▼ $0.11 (-2.0%)
Market data updated: 10/01 11:56 AM
Fundamentals updated: 10/01/2026
News analyzed: 10/01/2026
Market Cap
$9.37M
Day Range
$5.30 - $5.79
52-Week Range
$2.12 - $61.44
Beta
—
Next Earnings
11.11.2026
Support
$2.12
Resistance
$7.37
SLE is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-89.7% (1Y)
Strengths: 17/33 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
🟢 Bullish
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: 96.4%
Growth
Biggest negative driver
Operating margin
Operating margin: -115.1% (negative)
Fundamental
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
60
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
48
Quality
63
Value
55
Momentum
74
Risk
46
Sentiment
100
Fundamental
39
Institutional
0
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 Super League Enterprise, Inc. (NASDAQ: SLE) is limited to a single earnings call transcript from Q2 2026, with no additional substantive details about the company itself in the provided sources. The available headlines focus exclusively on unrelated communication services stocks, financial market movements, and unrelated entities like Metaplanet, without any direct updates on Super League Enterprise’s operations, performance, or strategic developments.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Super League Enterprise, Inc.. News trend score: 100. Reason: 12 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
53
🎯 Conviction (vs. Emotion)
41
Psychology
61
Fundamentals
39
Technical
74
Valuation
55
Price, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
+77%
Market Narrative
88
Fundamental Reality
41
Narrative Gap
+47
👥 What the crowd believes
"Super League Enterprise (SLE) held its second-quarter earnings conference call"
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
Benjamin Graham — 100/100
🔴 Weakest match
Samuel Armstrong Nelson — 11/100
🗣️ Why do they disagree?
This stock divides historical methodologies sharply, with Graham’s value frameworks—defensive, enterprising, and even Bagehot’s liquidity principles—all scoring it as a near-perfect fit, suggesting it meets deep statistical discounts and resilience criteria. Meanwhile, growth-oriented investors like Lynch see potential but with less conviction (71), while trend-followers like Livermore (83) and cyclical analysts like Marks (39) debate whether the momentum or market timing is favorable. The divide widens further when contrasting Fisher’s quality-focused approach (28) and Mackay’s crowd psychology warning (29) against the more neutral or cautious verdicts from Malkiel/Bogle (37) or Marks’ market-cycle caution (39), illustrating how the same stock can be viewed as either a defensive haven or a speculative bubble depending on the investor’s core philosophy.
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 100
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
Fact → Principle → Simulation
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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 100
Deep statistical discount — a real Enterprising Investor candidate
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟢 83
Positive trend — the price action Livermore looked for
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 71
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 56
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)
🟡 53
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 50
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 48
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
Jack Schwager
Market Wizards (1989)
🟡 46
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 41
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 39
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 37
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🔴 29
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 28
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 11
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 289 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (8 bullish · 4 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 uptrend with no defined trading range in the period examined.
Low 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
40.5%
Operating Margin
-115.1%
Net Margin
-182.7%
EBITDA Margin
-95.8%
ROE
-118.2%
ROA
-94.7%
ROIC
—
EPS
-$40.43
Cash
$14.39M
Total Debt
$1.50M
Current Ratio
4.36
Debt/Equity
0.09
How is Fair Value calculated? →
Current Price
$5.53
Estimated Fair Value (DCF)
-$259.92
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
⚠️ Extreme
Model output is extreme — likely a data/model limitation for this stock, not a reliable fair-value read.
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% | $-10.14M | $-9.30M |
| 2 | -3.1% | $-9.82M | $-8.27M |
| 3 | -1.2% | $-9.70M | $-7.49M |
| 4 | 0.6% | $-9.76M | $-6.91M |
| 5 | 2.5% | $-10.00M | $-6.50M |
Base FCF (last actual year)
$-10.67M
Terminal Value
$-157.75M
Present Value of Terminal Value
$-102.52M
Enterprise Value
$-141.00M
Net Debt
$-12.89M
Equity Value
$-128.11M
*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
$35.58
Tangible Book Value per Share (Tangible NAV)
$28.17
Sentiment based on basic keywords (not AI) — 12 positive, 8 neutral, 0 negative out of the last 20 articles.
Benzinga · 28.9.2026
Benzinga · 25.9.2026
Benzinga · 23.9.2026
Benzinga · 18.9.2026
Simply Wall St. · 30.8.2026
CoinGape · 29.8.2026
Benzinga · 25.8.2026
Benzinga · 24.8.2026
GuruFocus.com · 22.8.2026
Benzinga · 20.8.2026
Benzinga · 19.8.2026
ChartMill · 18.8.2026
ChartMill · 18.8.2026
ChartMill · 18.8.2026
Stocktwits · 18.8.2026
decrypt · 18.8.2026
Associated Press · 18.8.2026
ChartMill · 18.8.2026
Benzinga · 18.8.2026
Benzinga · 18.8.2026
Super League Enterprise, Inc. (SLE) currently has a StockIQ AI score of 60/100, 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.
SLE currently scores 60/100 (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.
SLE's technical score is 74/100, 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: Earnings per share (EPS) growth: 96.4%; Operating margin is stable or improving over time; Debt/equity: 0.09.
Based on the real signals StockIQ computed: Operating margin: -115.1% (negative); Net margin: -182.7% (negative); ATR: 10.9% of price.
StockIQ has no recorded dividend payment history for SLE.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 2 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Kalutkiewicz Robert | Grant/Award from Employer | 6.5.2026 | 6,820 | +6,820 | — |
| Kalutkiewicz Robert | Grant/Award from Employer | 6.5.2026 | 6,820 | +6,820 | — |
| Edelman Matthew Evan | Grant/Award from Employer | 1.1.2026 | 1,756,250 | +1,756,250 | — |
| HAYNES CLAYTON J | Grant/Award from Employer | 1.1.2026 | 149,333 | +149,333 | — |
| HAYNES CLAYTON J | Grant/Award from Employer | 1.1.2026 | 887,500 | +887,500 | — |
| HAYNES CLAYTON J | Grant/Award from Employer | 1.1.2026 | 88,000 | +88,000 | — |
| Edelman Matthew Evan | Grant/Award from Employer | 1.1.2026 | 298,667 | +298,667 | — |
| Edelman Matthew Evan | Grant/Award from Employer | 1.1.2026 | 176,000 | +176,000 | — |
| Frucci Marti J. | Grant/Award from Employer | 1.1.2026 | 5,284 | +5,284 | — |
| HAYNES CLAYTON J | Grant/Award from Employer | 1.1.2026 | 887,602 | +887,500 | — |
| HAYNES CLAYTON J | Grant/Award from Employer | 1.1.2026 | 88,000 | +88,000 | — |
| HAYNES CLAYTON J | Grant/Award from Employer | 1.1.2026 | 149,333 | +149,333 | — |
| Edelman Matthew Evan | Grant/Award from Employer | 1.1.2026 | 1,756,250 | +1,756,250 | — |
| Edelman Matthew Evan | Grant/Award from Employer | 1.1.2026 | 176,000 | +176,000 | — |
| Edelman Matthew Evan | Grant/Award from Employer | 1.1.2026 | 298,667 | +298,667 | — |
| Frucci Marti J. | Grant/Award from Employer | 1.1.2026 | 5,284 | +5,284 | — |
| Williams Hunter | Grant/Award from Employer | 9.12.2025 | 50,766 | +50,766 | — |
| Williams Hunter | Grant/Award from Employer | 9.12.2025 | 50,766 | +50,766 | — |
| JUNG MARK | Open Market Sale | 28.11.2025 | 137 | -137 | $0.85 |
| JUNG MARK | Open Market Sale | 28.11.2025 | 12,214 | -137 | $0.85 |
| JUNG MARK | Grant/Award from Employer | 20.10.2025 | 3,426 | +1,446 | — |
| Breen Timothy E. | Grant/Award from Employer | 20.10.2025 | 2,459 | +1,446 | — |
| Patrick Kristin | Grant/Award from Employer | 20.10.2025 | 2,477 | +1,446 | — |
| JUNG MARK | Grant/Award from Employer | 1.10.2025 | 1,980 | +962 | — |
| Gehl Jeff Patrick | Grant/Award from Employer | 1.10.2025 | 1,289 | +962 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
94,109 shares short as of 2026-09-15 · vs. 145,315 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
53.1% of trading volume this week was short selling, vs. 51.0% 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