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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· · NYSE
$40.66
▼ $0.24 (-0.6%)
Market data updated: 09/16 08:57 PM
Fundamentals updated: 09/15/2026
News analyzed: 09/16/2026
Market Cap
$7.14B
Day Range
$40.31 - $41.57
52-Week Range
$34.59 - $52.84
Beta
—
Next Earnings
—
+16.5% (1Y)
Strengths: 5/16 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
Golden Cross
SMA 50 recently crossed above SMA 200
Technical
Biggest negative driver
Price vs. SMA 200
Price is below the 200-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.
SGOL carries an overall Investor Score of 53, earning a MODERATE rating based on a distinct contrast between strong financial fundamentals and muted technical momentum. The primary drivers behind the solid fundamental and growth profiles include exceptional profitability and expansion metrics. Specifically, SGOL boasts a growth score of 66, supported by an impressive earnings per share (EPS) growth of 226.1% and net income growth of 273.4%. On the fundamental side, which scored 60, both the return on equity (ROE) and return on assets (ROA) stand at a robust 36.2%. The valuation score of 60 highlights a trailing price-to-earnings (P/E) ratio of 2.6 alongside a net asset value (NAV) per share of $44.51. Conversely, technical indicators remain a significant drag on the overall evaluation, yielding a score of 26. While the stock trades above its 50-day moving average, it remains below its 200-day moving average, signaling mixed trend signals. Further technical pressure is evident from a negative MACD histogram indicating falling momentum, an RSI of 49.6 reflecting a weak bias, and a stochastic %K reading of 19.2, which places it in oversold territory. On a relative basis, the asset underperformed the index by 0.6% over the last 3 months, and the price sits below the Stop and Reverse (SAR) point. News sentiment provides a positive offset with a score of 74, despite a mix of headlines detailing gold dynamics, geopolitical commentary, and energy prices. Finally, risk measures earn a score of 58, characterized by an Average True Range (ATR) of 1.9% of price and a Calmar ratio of 1.20, derived from a 3-year annualized return of 31.6% against a maximum drawdown of 26.3%.
The asset trades above its 50-day average but below its 200-day average, with a negative MACD histogram and an oversold %K reading of 19.2.
This mixed technical profile reflects short-term downward bias and falling momentum despite medium-term support above the 50-day average.
Both Return on Equity (ROE) and Return on Assets (ROA) stand at a strong 36.2%.
High ROE and ROA demonstrate strong balance sheet efficiency and capital productivity.
Earnings per share grew by 226.1%, accompanied by net income growth of 273.4%.
Substantial bottom-line growth shows significant expansion over the measured period.
The security shows a P/E ratio of 2.6 alongside a net asset value (NAV) per share of $44.51.
Low valuation multiples relative to underlying NAV can indicate discounted pricing relative to earnings.
News coverage displays mixed sentiment on gold margins, macro de-dollarization, and energy market dynamics, reaching a score of 74.
Sentiment signals capture ongoing market narratives surrounding broader macroeconomic and commodity drivers.
Average True Range sits at 1.9% of price, with a 3-year Calmar ratio of 1.20 and a 26.3% maximum drawdown.
Moderate daily price fluctuation and historical drawdown metrics help measure risk-adjusted return trade-offs.
StockIQ conclusion
SGOL presents a MODERATE overall outlook with an investor score of 53, driven by a split between strong profitability and technical weakness. Robust growth metrics, including a 226.1% EPS rise and 36.2% ROE, provide a solid fundamental backing. However, trading below the 200-day average and negative MACD momentum weigh on the technical score of 26. Future movement depends on technical recovery and broader commodity environment shifts.
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
49
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
66
Quality
No data available
Value
50
Momentum
31
Risk
58
Sentiment
62
Fundamental
50
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 **abrdn Physical Gold Shares ETF (SGOL)**—while not directly mentioned—centers on broader gold market trends. Headlines highlight gold’s volatility, including a sharp 10% rally after earlier declines, driven by geopolitical tensions (e.g., Middle East conflicts), central bank gold accumulation (e.g., Dutch central bank relocations, July’s 23-tonne net buying), and macroeconomic factors like rising bond yields and dollar strength. Analysts emphasize gold’s long-term appeal amid de-dollarization fears and commodity price stability, though short-term headwinds persist.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about abrdn Physical Gold Shares ETF. News trend score: 62. Reason: 9 of the last 20 articles are positive, versus 7 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
14
🎯 Conviction (vs. Emotion)
50
Psychology
16
Fundamentals
50
Technical
31
Valuation
50
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
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.
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)
+1%
Market Narrative
41
Fundamental Reality
50
Narrative Gap
-9
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
SGOL’s psychology score (10) reflects a neutral, cautious market environment where no single bias dominates. The absence of extreme sentiment (RSI at 50) and modest volume (0.89x average) suggests traders are neither panicked nor overly bullish. The narrative-reality gap (0) implies no misalignment between price action and fundamentals, but the negative price momentum (-3.0% ROC) and underperformance vs. EPS growth raise questions about whether traders are ignoring underlying strength. The key open question is whether the 6.6% resistance level will act as a psychological barrier or if traders will adapt to the current neutral tone.
Updated: 09/09/2026, 07:30 AM
👥 What the crowd believes
"Central banks continued their gold accumulation in July with net buying reported at 23t."
"Gold just rallied by over 10% after falling into correction territory earlier this year... new dynamics in the Middle East conflict could keep energy prices higher for longer."
"Central bank buying and ETF inflows keep gold attractive."
📈 9D 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
Peter Lynch — 100/100
🔴 Weakest match
Jesse Livermore — 14/100
🗣️ Why do they disagree?
The stark contrast between the highest-scoring methodologies and the lowest highlights how SGOL’s appeal depends entirely on the investor’s framework. Benjamin Graham and Peter Lynch both see it as a standout opportunity—Graham’s defensive and enterprising models flag it as a bargain, while Lynch’s growth lens suggests the stock hasn’t yet reflected its potential. Meanwhile, mid-tier thinkers like Samuel Nelson and Morgan Housel view it as a cyclical or patiently compoundable play, though with less urgency. At the other end, traders like Jesse Livermore and Jack Schwager dismiss it outright, with Livermore’s trend-following rules and Schwager’s disciplined wizards rejecting it entirely, while Fisher, Bagehot, and Smith lack sufficient data to form a clear opinion. The divide underscores whether SGOL is a *value* or *growth* bet—or simply too ambiguous for some to justify entry.
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 100
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: 25%
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 100
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 100
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: 20%
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 95
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 88
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 71
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟢 71
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)
🟡 64
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 63
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
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%
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 45
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
Jack Schwager
Market Wizards (1989)
🔴 35
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 15
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)
🔴 14
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
Based on the last 274 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (2 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 uptrend 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
—
Operating Margin
—
Net Margin
—
EBITDA Margin
—
ROE
—
ROA
—
ROIC
—
EPS
$16.11
Cash
—
Total Debt
—
Current Ratio
—
Debt/Equity
—
Not enough data to compute signals.
אין נתונים היסטוריים זמינים.
אין נתונים היסטוריים זמינים.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
—
Tangible Book Value per Share (Tangible NAV)
—
Not enough data to compute signals.
Sentiment based on basic keywords (not AI) — 9 positive, 4 neutral, 7 negative out of the last 20 articles.
SeekingAlpha · 16.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 15.9.2026
SeekingAlpha · 14.9.2026
SeekingAlpha · 12.9.2026
SeekingAlpha · 10.9.2026
SeekingAlpha · 10.9.2026
SeekingAlpha · 10.9.2026
24/7 Wall St. · 9.9.2026
Yahoo · 9.9.2026
SeekingAlpha · 9.9.2026
SeekingAlpha · 9.9.2026
SeekingAlpha · 9.9.2026
SeekingAlpha · 8.9.2026
SeekingAlpha · 7.9.2026
SeekingAlpha · 7.9.2026
SeekingAlpha · 5.9.2026
SeekingAlpha · 5.9.2026
abrdn Physical Gold Shares ETF (SGOL) currently has a StockIQ AI score of 49/100, rated "Moderate" (a partial score — based on only 6 of 7 categories, some data is currently unavailable). The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
SGOL currently scores 49/100 (Moderate) across the categories we measure (a partial score — based on only 6 of 7 categories, some data is currently unavailable). StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
SGOL's technical score is 31/100, 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: SMA 50 recently crossed above SMA 200; Earnings per share (EPS) growth: 226.1%; Net income growth: 273.4%.
Based on the real signals StockIQ computed: Price is below the 200-day average; MACD histogram is negative — falling momentum; -1.7% over the last 3 months relative to the index.
StockIQ has no recorded dividend payment history for SGOL.
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.
1,875,079 shares short as of 2026-08-31 · vs. 829,651 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
73.1% of trading volume this week was short selling, vs. 73.6% 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