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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NYSE
$283.71
▼ $0.73 (-0.3%)
Market data updated: 09/15 03:16 PM
News analyzed: 09/15/2026
Market Cap
Not available
Day Range
$283.27 - $285.38
52-Week Range
$198.17 - $300.79
Beta
—
Next Earnings
—
+32.8% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 5/12 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
🟡 Mixed
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Daily volatility (ATR)
ATR: 1.7% of price
Risk
Biggest negative driver
MACD
MACD histogram is negative — falling momentum
Technical
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.
Fidelity MSCI Information Technology Index ETF (FTEC) earns an overall investor score of 80, reflecting a balanced mix of technical strength and moderate risk exposure. The technical category (77) highlights a robust upward trend, with the stock maintaining positions above both its 50-day and 200-day moving averages, alongside a positive MACD histogram and RSI of 56.6, indicating healthy momentum. However, the %K reading at 86.0 signals overbought conditions, which could suggest near-term consolidation. The news category (100) stands out as the strongest, driven by a predominance of positive sentiment—particularly around AI-driven growth narratives, NVIDIA’s earnings momentum, and broader market transitions—though neutral coverage also exists. Risk (58) is the weakest category, primarily due to a relatively low ATR (1.7% of price) and a Calmar ratio of 1.08, which, while indicating strong returns (29.8% annualized over three years), also reflects a significant historical drawdown (27.5%).
The stock shows clear bullish momentum with sustained positions above key moving averages (50-day and 200-day) and a positive MACD histogram, but the %K reading at 86.0 suggests overbought conditions that may limit further short-term gains.
Technical strength validates the uptrend but overbought signals could prompt traders to take profits or pause, potentially leading to volatility.
The news sentiment is overwhelmingly positive, with multiple articles emphasizing AI-driven growth, NVIDIA’s earnings strength, and broader tech sector transitions, though neutral coverage exists.
Positive news sentiment supports the stock’s narrative and could attract institutional or thematic investors, reinforcing demand.
The ATR (1.7% of price) is low, indicating limited volatility, but the Calmar ratio (1.08) reveals a historically high drawdown (27.5%) despite strong returns (29.8% annualized).
While low volatility may appeal to risk-averse investors, the high drawdown suggests past sensitivity to market corrections, which could recur.
StockIQ conclusion
FTEC demonstrates a compelling blend of technical strength and positive narrative momentum, supported by a high investor score of 80. While technical indicators suggest an ongoing uptrend, overbought conditions and falling volume introduce caution. The risk profile is moderated by strong returns but tempered by historical volatility and sector-specific vulnerabilities. News sentiment remains robust, but external factors—such as macroeconomic shifts or tech sector corrections—could meaningfully alter the outlook.
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
65
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
52
Risk
58
Sentiment
100
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 **Fidelity MSCI Information Technology Index ETF (FTEC)** has centered on broader tech sector trends rather than the fund itself. Analysts highlight growing investor caution amid signs of slowing AI-driven momentum, with tech stocks like NVIDIA and Apple driving volatility. NVIDIA’s strong Q2 earnings and aggressive growth forecasts (70% revenue increase in FY28) have drawn attention to AI-heavy ETFs, while Apple’s AI-focused Mac push sparks speculation about future sector opportunities. Overall, the tech market shows resilience but faces scrutiny over sustainability.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Fidelity MSCI Information Technology Index ETF. News trend score: 100. Reason: 17 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
23
🎯 Conviction (vs. Emotion)
50
Psychology
30
Fundamentals
—
Technical
52
Valuation
—
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.
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.
Price (3M)
+1%
Market Narrative
65
Fundamental Reality
50
Narrative Gap
+15
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
FTEC’s psychology is anchored by a tight resistance level (1.9% away), while euphoria lingers from strong momentum (+2.3% ROC) and extreme positive sentiment. The narrative-reality gap (17 points) suggests traders may overestimate tailwinds despite neutral RSI (56) and modest volume (0.82x avg). Key tension: whether traders will break resistance or pivot on confirmation. The open question is whether euphoria will sustain or shift focus back to anchoring if resistance holds.
Updated: 09/09/2026, 05:09 AM
What could change this?
👥 What the crowd believes
"NVIDIA beats Q2 estimates and sees 70% fiscal 2028 revenue growth, while NVDA-heavy ETFs offer exposure with less company-specific risk"
"Apple is taking its Mac lineup deeper into AI. Could the latest upgrades create fresh opportunities for Apple-heavy ETFs?"
"While tech stocks have had a strong run... investors need to be more discerning as days of a rising tide lifting all boats in sector may be over."
"NVDA-heavy ETFs offer exposure with less company-specific risk"
📈 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
Morgan Housel — 75/100
🔴 Weakest match
Jack Schwager — 19/100
🗣️ Why do they disagree?
FTEC’s divergent scores reveal stark contrasts between methodologies that prioritize fundamental strength and those wary of speculative or late-cycle traits. Morgan Housel’s high score reflects his focus on patient, long-term compounding—here, the stock’s quiet growth potential aligns with his principles. Meanwhile, methodologies like Nelson’s and Schwager’s flag red flags, with the former detecting overbought conditions and the latter finding no clear technical setup, underscoring their caution toward speculative or crowded trades. The cluster of ‘not enough data’ verdicts (Graham, Fisher, Lynch, etc.) suggests the stock lacks the clear fundamentals or valuation anchors these value-oriented investors demand, while Marks’ mixed but guarded stance hints at a business with promise but potentially inflated expectations. The divide between patient compounders and cycle-sensitive strategists highlights whether FTEC’s growth is sustainable or merely a late-stage bubble.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 100
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)
🟢 75
The kind of quiet compounder a patient holder could actually stick with
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 66
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 62
Mid-cycle — no strong signal either way
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)
🟡 58
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
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%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 44
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 43
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 39
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 33
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
Jack Schwager
Market Wizards (1989)
🔴 19
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
Based on the last 274 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 · 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 uptrend 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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 18.6.2026 | $0.289 |
| 20.3.2026 | $0.221 |
| 19.12.2025 | $0.267 |
| 19.9.2025 | $0.225 |
| 20.6.2025 | $0.234 |
| 21.3.2025 | $0.230 |
| 20.12.2024 | $0.212 |
| 20.9.2024 | $0.225 |
| 21.6.2024 | $0.232 |
| 15.3.2024 | $0.236 |
| 15.12.2023 | $0.433 |
| 15.9.2023 | $0.223 |
Sentiment based on basic keywords (not AI) — 17 positive, 3 neutral, 0 negative out of the last 20 articles.
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StockIQ doesn't currently have enough real data to compute a reliable score for Fidelity MSCI Information Technology Index ETF (FTEC) — 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 FTEC 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.
FTEC's technical score is 52/100, 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: ATR: 1.7% of price; Price is above the 50-day average; Price is above the 200-day average.
Based on the real signals StockIQ computed: MACD histogram is negative — falling momentum; -0.6% over the last 3 months relative to the index; CMF 20 days: -0.06.
Yes — FTEC 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.
143,582 shares short as of 2026-08-31 · vs. 220,017 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
56.7% of trading volume this week was short selling, vs. 49.7% 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