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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NYSE
$33.89
▲ $0.05 (+0.1%)
Market data updated: 09/18 05:01 AM
News analyzed: 09/18/2026
Market Cap
Not available
Day Range
$33.81 - $34.03
52-Week Range
$26.32 - $35.31
Beta
—
Next Earnings
—
+23.4% (1Y)
🟡 Moderate
Strengths: 3/13 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
🟡 Mixed
Technical Trend
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Daily volatility (ATR)
ATR: 1.0% of price
Risk
Biggest negative driver
Price vs. SMA 50
Price is below the 50-day average
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.
Schwab U.S. Dividend Equity ETF (SCHD) earns an overall investor score of 71 with a 'STRONG' rating, reflecting a balanced mix of technical strength and selective areas of caution. The technical category scores 65, driven by positive signals like the stock’s position above both the 50-day and 200-day moving averages, which indicate sustained bullish momentum. However, the negative MACD histogram and a price below the Parabolic SAR suggest weakening near-term momentum and potential downside pressure. The RSI at 57.8 and recent outperformance (+5.3% vs. the index over three months) provide some optimism, though the ROC at -0.8% hints at short-term deceleration. News sentiment is exceptionally strong at 92, fueled by multiple positive comparisons and retirement-focused analyses, reinforcing SCHD’s appeal as a stable, dividend-heavy ETF. Risk factors, however, weigh in at 58, with a low ATR (0.9% of price) signaling limited volatility but also a Calmar ratio of 0.69—indicating moderate risk-adjusted returns given its 17.6% historical drawdown. The ETF’s stability and dividend focus are clearly valued, but technical divergences and risk metrics temper the overall outlook.
SCHD shows mixed technical signals: it trades above key moving averages (50-day and 200-day) with healthy RSI momentum (57.8), but the MACD histogram is negative, and the price sits below the Parabolic SAR, signaling potential downtrend pressure.
This duality—strong long-term positioning but weakening short-term momentum—creates uncertainty about whether the uptrend will sustain or reverse.
News coverage is overwhelmingly positive, with multiple articles highlighting SCHD as a top choice for stable dividend income and retirement planning, though some neutral pieces question broader income strategies.
The dominance of positive sentiment suggests strong investor confidence in SCHD’s role as a low-risk, high-dividend ETF, which could attract passive investors.
The ETF exhibits low volatility (ATR: 0.9%) but carries a moderate risk profile, with a Calmar ratio of 0.69 and a 17.6% historical drawdown despite a 12.2% annualized return.
While the low ATR reassures stability, the Calmar ratio indicates that returns are not significantly cushioned by drawdowns, posing a risk-reward tradeoff for investors.
StockIQ conclusion
SCHD presents a compelling case for conservative investors seeking stable dividend income, supported by strong news sentiment and technical positioning above key moving averages. However, technical divergences and moderate risk metrics introduce caution, particularly for those sensitive to short-term volatility or drawdowns. The ETF’s stability is its greatest strength, but investors should monitor momentum indicators and macroeconomic trends to assess its resilience in evolving market conditions.
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
53
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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 26, 2026
Then
74
$35.11
Now
53
$33.89
What happened since
Signals detected by this date
No signals detected by this date
🧬 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
33
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 of the Schwab U.S. Dividend Equity ETF (SCHD) highlights its growing prominence as the largest dividend-focused ETF, surpassing competitors like Vanguard’s VIG. Analysts debate its suitability for conservative investors, noting its lower volatility but reduced total returns compared to broader market ETFs. Discussions also center on long-term dividend growth potential, comparisons with rival dividend funds, and its resilience amid rising interest rate concerns. Some articles explore strategic investment approaches tied to SCHD’s methodology.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Schwab U.S. Dividend Equity ETF. News trend score: 100. Reason: 11 of the last 20 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
20
🎯 Conviction (vs. Emotion)
50
Psychology
22
Fundamentals
—
Technical
33
Valuation
—
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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)
+6%
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 market behavior for SCHD suggests traders are anchored near the 2.5% resistance gap, likely treating it as a psychological barrier rather than a catalyst. The lack of momentum (-1.1% ROC) and neutral RSI (50) indicate neither urgency (FOMO) nor panic, while muted volume (0.97x avg) and low volatility (0.86x ATR) rule out herd-driven or distressed moves. The key question is whether this resistance holds or if traders will test it further—especially given the neutral narrative-reality alignment (gap: 0). Overvaluation (+10.5% above 200-day avg) alone isn’t sparking euphoria, hinting at disciplined positioning rather than speculative fervor.
Updated: 09/09/2026, 03:56 AM
What could change this?
👥 What the crowd believes
"The SCHD ETF has officially become the biggest dividend ETF after overtaking VIG"
"Between SCHD and VIG, which one actually belongs in your portfolio?"
"SCHD and JEPI both promise retirement income, but they run on completely different engines"
"SPHD ETF targets conservative income investors but sacrifices total returns versus peers"
📈 14D 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 — 100/100
🔴 Weakest match
Jack Schwager — 31/100
🗣️ Why do they disagree?
Based on Morgan Housel’s documented principles, the model estimates a very strong endorsement, scoring 100 and calling SCHD a quiet compounder a patient holder could stick with, while Jack Schwager’s framework yields a low 37 and advises staying out because no real setup exists. Mid‑range scores from Samuel Armstrong Nelson (77) and Gerald M. Loeb (74) reflect their focus on cycle positioning and capital‑preservation, respectively, seeing the stock as favorably placed but still requiring caution. Several classic value and growth investors—Benjamin Graham, Philip Fisher, Peter Lynch, Walter Bagehot, and Thorstein Veblen—each receive a neutral 50 because the model lacks sufficient balance‑sheet, dividend‑growth, or profit‑translation data to produce a full read under their documented methods. Howard Marks (45) and the efficient‑market view of Burton Malkiel & John Bogle (44) both flag mixed signals, noting good business fundamentals but potentially high expectations and weak evidence for out‑performing an index, while Marks’s market‑cycle lens (36) warns that the stock appears late‑cycle and warrants extra caution. The spread of conclusions therefore stems from each methodology’s emphasis—dividend compounding, cycle analysis, capital preservation, valuation data requirements, and market‑efficiency considerations—leading some frameworks to rate SCHD highly and others to advise staying out.
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)
🟢 100
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 92
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 74
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 66
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%
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 47
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
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 43
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)
🟡 42
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
Jack Schwager
Market Wizards (1989)
🔴 31
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 278 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (2 bullish · 8 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.
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 |
|---|---|
| 24.6.2026 | $0.253 |
| 25.3.2026 | $0.257 |
| 10.12.2025 | $0.278 |
| 24.9.2025 | $0.260 |
| 25.6.2025 | $0.260 |
| 26.3.2025 | $0.249 |
| 11.12.2024 | $0.265 |
| 25.9.2024 | $0.252 |
| 26.6.2024 | $0.275 |
| 20.3.2024 | $0.204 |
| 6.12.2023 | $0.247 |
| 20.9.2023 | $0.218 |
Sentiment based on basic keywords (not AI) — 11 positive, 8 neutral, 1 negative out of the last 20 articles.
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
Yahoo · 16.9.2026
SeekingAlpha · 16.9.2026
SeekingAlpha · 16.9.2026
Yahoo · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 14.9.2026
Yahoo · 14.9.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Schwab U.S. Dividend Equity ETF (SCHD) — 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 SCHD 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.
SCHD's technical score is 33/100, 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: ATR: 1.0% of price; Price is above the 200-day average; +3.2% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: Price is below the 50-day average; MACD histogram is negative — falling momentum; Price is below the SAR point — downtrend.
Yes — SCHD 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.
5,127,674 shares short as of 2026-08-31 · vs. 6,274,576 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
46.0% of trading volume this week was short selling, vs. 47.4% 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