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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · CBOE
$40.04
▼ $1.78 (-4.3%)
Market data updated: 09/15 04:42 AM
News analyzed: 09/15/2026
Market Cap
Not available
Day Range
$39.64 - $40.48
52-Week Range
$26.55 - $48.89
Beta
—
Next Earnings
—
+52.1% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 8/13 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
🟢 Bullish
Technical Trend
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 50
Price is above the 50-day average
Technical
Biggest negative driver
Relative strength vs. S&P 500
-8.2% over the last 3 months relative to the index
Technical
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 1 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 1
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.
WTAI exhibits a balanced yet nuanced profile, with its **investorScore of 73** and **STRONG rating** driven primarily by strong technical momentum and favorable news sentiment. The **technical category (70)** highlights robust bullish signals, including sustained price positions above both the 50-day and 200-day moving averages, alongside a **positive MACD histogram** and **RSI of 54.1**, indicating healthy upward momentum. However, the **%K at 78.9** suggests neutral stochastic range, and the **price below the SAR point** introduces a minor downtrend concern. The **news category (92)** stands out as the strongest, with predominantly positive coverage around AI, semiconductor growth, and macroeconomic trends, reinforcing long-term tailwinds. Conversely, the **risk category (50)** reveals volatility metrics—such as a **3-year Calmar ratio of 0.97**—highlighting significant drawdown risk relative to returns, while the **ATR of 3.0%** suggests moderate price volatility. The interplay between these factors results in a **STRONG rating**, but the mixed technical signals and elevated risk profile temper the overall outlook.
The stock shows clear bullish momentum with price above both 50-day and 200-day moving averages, a positive MACD histogram, and an RSI of 54.1, but the %K stochastic reading is neutral, and the price remains below the SAR point, indicating a minor downtrend.
Technical strength is critical for validating upward trends, but conflicting signals (e.g., SAR position) may signal caution for short-term traders.
News sentiment is overwhelmingly positive, with four out of five articles highlighting AI, semiconductor growth, and macroeconomic tailwinds, while only one article remains neutral.
Positive news sentiment often precedes institutional interest and sectoral momentum, which can sustain or amplify stock performance.
The stock exhibits high volatility with a 3-year Calmar ratio of 0.97 (indicating near-par returns and drawdowns) and an ATR of 3.0%, suggesting moderate price swings.
High volatility and drawdown risk may deter risk-averse investors, even if long-term returns are strong.
StockIQ conclusion
WTAI’s **STRONG rating** is underpinned by strong technical momentum and favorable news sentiment, particularly in AI and semiconductors, which could sustain investor interest. However, the stock’s volatility and minor downtrend signals (e.g., SAR position) introduce caution, particularly for short-term traders. The balance between sectoral tailwinds and inherent risk suggests a nuanced outlook, where long-term investors may benefit from the positive narrative, while volatility-conscious participants should monitor technical confirmations.
Written automatically from the computed data shown on this page only — not investment advice.
🗓️ 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
80
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
78
Risk
50
Sentiment
98
Fundamental
No data available
Institutional
No data available
Stocks with a similar DNA right now
Not enough comparably-scored stocks yet to show similar matches.
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage on the WisdomTree Artificial Intelligence and Innovation Fund’s sector focuses on the accelerating AI-driven economic shift, with recurring themes around **AI infrastructure expansion**, **semiconductor demand**, and **capital allocation trends**. Headlines highlight NVIDIA’s role in AI data center growth, rising corporate debt for AI investments, and the financial sector’s rapid adoption of advanced AI systems. The broader market narrative emphasizes AI’s expanding value chain, supply chain constraints, and its influence on growth stocks and global economic dynamics.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about WisdomTree Artificial Intelligence and Innovation Fund. News trend score: 98. Reason: 10 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
31
🎯 Conviction (vs. Emotion)
50
Psychology
33
Fundamentals
—
Technical
78
Valuation
—
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Extreme momentum, price far above its moving average, and a large premium over fair value.
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)
-6%
Market Narrative
67
Fundamental Reality
50
Narrative Gap
+17
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior suggests a dominant tension between **FOMO** and **euphoria**, both fueled by relentless positive momentum (+2.5% ROC), extreme sentiment (100/100), and a substantial 18.6% deviation above the 200-day average. The lack of volatility (ATR at 0.73x baseline) and neutral RSI (54) imply a cautious, yet optimistic, speculative push rather than outright panic or herding. The **narrative gap** (67 vs. 50) hints at a disconnect where optimism may outpace tangible fundamentals. The key open question: *Will the momentum sustain, or will the elevated volume signal exhaustion before euphoria peaks?*
Updated: 09/06/2026, 01:28 PM
What could change this?
👥 What the crowd believes
"AI infrastructure companies contributed about half of that growth, with their own earnings rising around 54%"
"more than half (52%) of respondents are already piloting agentic AI or are at more advanced deployment stages"
"AI is becoming a visible source of macroeconomic resilience, especially in the US"
"AI’s value chain continues to expand as adoption deepens, but winners are beginning to separate amongst supply constraints"
📈 6D 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
Jesse Livermore — 60/100
🔴 Weakest match
Howard Marks (Market Cycle) — 32/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among the methodologies, with scores ranging from a cautious 26 to a more permissive 71. The highest-rated approach, Edgar Lawrence Smith’s dividend-focused model, leans toward a neutral stance due to insufficient data, but its score suggests a relative openness compared to others. Meanwhile, the majority of methodologies—including Graham, Fisher, Lynch, and even the Enterprising Investor variant—all sit at the midpoint (50), either due to missing fundamental data or ambiguous signals, creating a neutral stalemate. On the other end, the most bearish frameworks—like Marks’ market-cycle analysis (26) and Nelson’s cycle assessment (29)—flag overbought conditions and late-cycle risks, while Schwager’s disciplined wizards and Housel’s volatility concerns further tilt the debate toward caution. The contrast highlights a stock that lacks clear consensus, with some models dismissing it outright and others unable to form a definitive opinion due to data gaps.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 71
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 60
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 54
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)
🟡 52
Some signs of crowd excitement building
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%
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 50
Mixed signal on whether growth translates to real profit
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 50
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
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%
Morgan Housel
The Psychology of Money (2020)
🟡 40
Moderate — holdable, but not effortless
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 38
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 37
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
Jack Schwager
Market Wizards (1989)
🟡 36
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 32
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
Based on the last 272 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (8 bullish · 1 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.
A pattern consistent with an early/mid distribution phase — a trading range after an advance with declining volume.
Medium confidence
$34.89
Range Bottom
$45.14
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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 26.12.2025 | $0.526 |
| 26.12.2024 | $0.042 |
| 28.12.2023 | $0.003 |
| 22.12.2023 | $0.025 |
| 7.12.2023 | $0.021 |
| 23.12.2022 | $0.031 |
Sentiment based on basic keywords (not AI) — 10 positive, 8 neutral, 2 negative out of the last 20 articles.
SeekingAlpha · 14.9.2026
SeekingAlpha · 12.9.2026
SeekingAlpha · 11.9.2026
Benzinga · 7.9.2026
SeekingAlpha · 4.9.2026
SeekingAlpha · 3.9.2026
SeekingAlpha · 3.9.2026
SeekingAlpha · 2.9.2026
SeekingAlpha · 2.9.2026
SeekingAlpha · 1.9.2026
SeekingAlpha · 31.8.2026
SeekingAlpha · 29.8.2026
SeekingAlpha · 29.8.2026
SeekingAlpha · 28.8.2026
SeekingAlpha · 27.8.2026
SeekingAlpha · 26.8.2026
SeekingAlpha · 26.8.2026
Benzinga · 26.8.2026
ACCESS Newswire · 25.8.2026
SeekingAlpha · 25.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for WisdomTree Artificial Intelligence and Innovation Fund (WTAI) — 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 WTAI 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.
WTAI's technical score is 78/100, 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: Price is above the 50-day average; Price is above the 200-day average; MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: -8.2% over the last 3 months relative to the index.
Yes — WTAI has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 0 sales out of the last 0 filings.
No recent insider transaction filings found for this stock.
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
186,742 shares short as of 2026-08-31 · vs. 173,174 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
32.2% of trading volume this week was short selling, vs. 46.4% 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