Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$10.19
▼ $0.42 (-4.0%)
Market data updated: 09/30 12:24 AM
News analyzed: 09/30/2026
Market Cap
$28.84B
Day Range
$9.98 - $10.19
52-Week Range
$7.87 - $21.29
Beta
—
Next Earnings
18.02.2027
Support
$7.96
Resistance
$13.44
-9.8% (1Y)
🟡 Moderate
Strengths: 1/13 factors positiveRisk: High
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
🔴 Bearish
Technical Trend
🔴 Bearish
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Relative strength vs. S&P 500
+15.3% over the last 3 months relative to the index
Technical
Biggest negative driver
Daily volatility (ATR)
ATR: 5.6% of price
Risk
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
18
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
22
Risk
34
Sentiment
0
Fundamental
No data available
Institutional
100
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 Sibanye-Stillwater Limited (SBSW) has centered on its strong financial performance and strategic shifts. The company reported record half-year EBITDA near $2 billion, driven by rising platinum group metals (PGM) and gold prices, alongside aggressive debt reduction. Leadership highlighted a new corporate strategy emphasizing disciplined capital management and expansion into copper and battery metals. However, labor tensions loom, with warnings that a strike could threaten U.S. PGM operations’ sustainability.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about D/B/A Sibanye-Stillwater Limited ADS. News trend score: 0. Reason: 12 of the last 20 articles are negative, versus 0 positive.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
47
🎯 Conviction (vs. Emotion)
50
Psychology
58
Fundamentals
—
Technical
22
Valuation
—
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+19%
Market Narrative
13
Fundamental Reality
50
Narrative Gap
-37
🧠 StockIQ Psychologist
The market’s dominant *anchoring* to the 2.7% resistance level suggests traders are fixated on this near-term hurdle, despite modest momentum and overbought conditions. The elevated *FOMO* (38) and *euphoria* (25) scores imply some investors are chasing gains, while the narrow *narrative gap* (4) indicates a balanced but cautious narrative. The key question is whether the stock can sustain momentum or if the resistance will act as a psychological barrier. Low *panic selling* (8) suggests no immediate liquidation pressure, but volatility remains elevated relative to baseline.
Updated: 09/07/2026, 05:51 PM
What could change this?
👥 What the crowd believes
"Sibanye Stillwater reports H1 2026 EBITDA near $2B driven by soaring PGM and gold prices"
"Sibanye Stillwater presented a new corporate development strategy, focusing on more disciplined capital management"
"Sibanye-Stillwater expanding into battery & base metals"
"Sibanye Stillwater Faces Strike, Warns US Platinum Group Metals Operations Could Become Unsustainable"
📈 4D 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
Charles Mackay — 100/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
This stock’s divergent verdicts reflect stark contrasts between methodologies that prioritize growth, momentum, and value versus those skeptical of speculative or cyclical risks. Thorstein Veblen and Jesse Livermore both score highly, suggesting the stock aligns with their principles—Veblen sees real value creation in growth, while Livermore’s trend-following approach finds favorable price action. Meanwhile, Charles Mackay’s moderate score hints at crowd-driven excitement, though it’s tempered by Howard Marks’ caution, who flags potential overvaluation despite solid fundamentals. At the opposite end, Morgan Housel and Samuel Armstrong Nelson warn of volatility and overbought conditions, while the efficient-market camp dismisses it as a suboptimal bet compared to passive indexing. The lack of definitive data for Graham, Fisher, or Lynch leaves their frameworks inconclusive, but the extremes—from Veblen’s optimism to Housel’s pessimism—highlight deep disagreement over whether this stock is a growth play, a speculative gamble, or a risky bet.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 100
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 95
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 (Market Cycle)
Mastering the Market Cycle (2018)
🟢 90
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 80
Growth appears aligned with real value creation
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 70
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
Jack Schwager
Market Wizards (1989)
🟡 54
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
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%
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)
🔴 27
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
Key question
Do I actually have an edge here, or do I just think I do?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 21
Risk profile Loeb would flag as a real threat to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 19
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
Morgan Housel
The Psychology of Money (2020)
🔴 0
The kind of volatility that tends to shake patient holders out
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
Based on the last 286 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 18.9.2026 | $0.499 |
| 20.3.2026 | $0.328 |
| 19.3.2026 | $0.328 |
| 21.9.2023 | $0.110 |
| 20.9.2023 | $0.110 |
| 23.3.2023 | $0.268 |
| 22.3.2023 | $0.268 |
| 15.9.2022 | $0.325 |
| 14.9.2022 | $0.325 |
| 24.3.2022 | $0.494 |
| 23.3.2022 | $0.494 |
Sentiment based on basic keywords (not AI) — 0 positive, 8 neutral, 12 negative out of the last 20 articles.
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MT Newswires · 16.9.2026
Benzinga · 14.9.2026
Barrons.com · 10.9.2026
Yahoo · 10.9.2026
Insider Monkey · 10.9.2026
Yahoo · 10.9.2026
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SeekingAlpha · 3.9.2026
MT Newswires · 3.9.2026
StockIQ doesn't currently have enough real data to compute a reliable score for D/B/A Sibanye-Stillwater Limited ADS (SBSW) — 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 SBSW 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.
SBSW's technical score is 22/100, 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: +15.3% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: ATR: 5.6% of price; Calmar: 0.33 (3y annualized return 20.2% / max drawdown 62.1%); Price is below the 50-day average.
Yes — SBSW 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 — 15 purchases and 0 sales out of the last 15 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Menell Richard Peter | Open Market Purchase | 30.6.2026 | 15,000 | +15,000 | $2.19 |
| Menell Richard Peter | Open Market Purchase | 30.6.2026 | 25,125 | +15,000 | $2.19 |
| Keyter Charl | Open Market Purchase | 26.6.2026 | 200,000 | +200,000 | $2.24 |
| Nkosi Themba George | Open Market Purchase | 31.3.2026 | 11,865 | +11,865 | $2.91 |
| Nkosi Themba George | Open Market Purchase | 31.3.2026 | 242,248 | +11,865 | $2.91 |
| Carter Charles Edward | Open Market Purchase | 30.3.2026 | 10,000 | +10,000 | $11.40 |
| Carter Charles Edward | Open Market Purchase | 30.3.2026 | 180,000 | +10,000 | $11.40 |
| Menell Richard Peter | Open Market Purchase | 24.3.2026 | 2,500 | +2,500 | $11.43 |
| Menell Richard Peter | Open Market Purchase | 24.3.2026 | 2,500 | +2,500 | $11.43 |
| Keyter Charl | Open Market Purchase | 23.3.2026 | 35,000 | +35,000 | $2.70 |
| Keyter Charl | Open Market Purchase | 23.3.2026 | 2,000,000 | +35,000 | $2.70 |
| Keyter Charl | Open Market Purchase | 20.3.2026 | 148,819 | +148,819 | $11.63 |
| Keyter Charl | Open Market Purchase | 20.3.2026 | 1,965,000 | +148,819 | $11.63 |
| Maphai Thabane Vincent | Open Market Purchase | 16.3.2026 | 12,000 | +12,000 | $13.34 |
| Maphai Thabane Vincent | Open Market Purchase | 16.3.2026 | 140,178 | +12,000 | $13.34 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
8,335,225 shares short as of 2026-09-15 · vs. 8,684,301 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
30.4% of trading volume this week was short selling, vs. 35.3% 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