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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Basic Materials · ·
$43.34
▲ $1.38 (+3.3%)
Market data updated: 09/18 11:37 AM
News analyzed: 09/18/2026
Market Cap
$38.79B
Day Range
$42.82 - $43.84
52-Week Range
$31.11 - $61.64
Beta
—
Next Earnings
—
GFI is a stock from the Materials sector — Mining, chemicals, and metals — the raw materials that feed other industries, sensitive to commodity prices.
+14.1% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 3/13 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
🟡 Mixed
Technical Trend
🔴 Bearish
Insiders
🟢 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
Daily volatility (ATR)
ATR: 4.0% of price
Risk
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.
Gold Fields (GFI) exhibits a balanced yet nuanced profile, with its **investorScore of 80** and **STRONG rating** driven primarily by robust technical and news-driven fundamentals. The **technical category (81)** highlights a strong uptrend, as the stock trades above both its 50-day and 200-day moving averages, supported by a healthy **RSI of 64.7** and a **strong ADX of 44.7**, indicating a clear directional momentum. However, the **negative MACD histogram** introduces a cautionary note, signaling potential short-term deceleration in upward momentum. Meanwhile, the **news category (92)** stands out as the strongest, with multiple positive narratives—including leadership strength, growth affordability, and industry momentum—outweighing a single negative headline about broader market sell-offs. The **risk category (50)**, however, remains a neutral anchor, with moderate volatility (3.8% ATR) and a **Calmar ratio of 1.16**, reflecting a historically volatile but not extreme risk profile (57.1% 3-year return with a 49.2% peak drawdown).
The stock demonstrates a clear upward bias with prices above both short-term (50-day) and long-term (200-day) moving averages, supported by a strong ADX and positive RSI, though the MACD histogram suggests a weakening momentum trend.
This technical alignment typically signals sustained bullishness, but the MACD decline may indicate an impending pullback or consolidation phase.
Positive sentiment dominates, with multiple articles emphasizing leadership quality, growth potential, and sector-specific advantages, while a single negative headline about broader market trends has minimal impact.
Strong news sentiment can drive investor confidence and justify valuation premiums, but external market shocks (e.g., Fed hikes) may still influence sentiment.
Volatility is moderate (3.8% ATR), and the Calmar ratio (1.16) suggests a balanced risk-reward profile, though the 3-year return (57.1%) and peak drawdown (49.2%) highlight historical volatility.
While volatility is not extreme, the drawdown risk underscores the need for caution in leveraged or short-term positions.
StockIQ conclusion
Gold Fields (GFI) presents a compelling yet nuanced case, with its technical and news-driven strengths outweighing moderate risk concerns. The stock’s position above key moving averages and positive momentum indicators suggests resilience, while a high news score reinforces its growth narrative. However, the MACD decline and historical volatility serve as reminders of potential short-term volatility. Investors should monitor macroeconomic trends and operational execution to assess whether the current momentum persists or faces correction.
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
55
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
70
$48.87
Now
55
$43.34
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
40
Risk
42
Sentiment
100
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 **Gold Fields Limited (GFI)** highlights its strong financial performance amid rising gold prices, with a 12% year-over-year production increase to 1.27 million ounces in H1 2026 and adjusted free cash flow more than doubling to $2.225 billion. The company announced a record interim dividend and a $500 million buyback expansion, driven by the Salares Norte mine’s outperformance, though rising costs and project delays at Windfall were noted. Analysts also praised its high growth potential, strong profitability (42% ROE), and affordable valuation, though market volatility remains a factor.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Gold Fields Limited. News trend score: 100. Reason: 12 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
17
🎯 Conviction (vs. Emotion)
50
Psychology
76
Fundamentals
—
Technical
40
Valuation
—
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.
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 price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+12%
Market Narrative
57
Fundamental Reality
50
Narrative Gap
+7
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
GFI’s psychology profile reflects a **balanced mix of FOMO and euphoria**, with momentum (+3.8% ROC), high sentiment (92/100), and a 18.4% premium over its 200-day average fueling optimism. The narrative gap (65 vs. 50) suggests traders may be overestimating tailwinds, while anchoring near resistance (4.0% away) hints at cautious optimism. Herding is muted, as the stock lagged peers today (+0.2% vs. +1.9%). The key question: *Is euphoria justified by fundamentals, or is the premium unsustainable?*
Updated: 09/09/2026, 02:52 PM
What could change this?
👥 What the crowd believes
"adjusted free cash flow more than doubled to $2.225 billion"
"Attributable production climbed 12% year over year to 1.267 million ounces"
"passes a strict value screen, combining a low P/E of 12.31 with strong profitability"
"Gold Fields rides a gold price surge to record cash flow"
📈 12D 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
Samuel Armstrong Nelson — 81/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The stark divide in verdicts for GFI reflects deep methodological differences in how these investors assess stocks. Thorstein Veblen’s high score (80) suggests his focus on real value creation aligns with the stock’s growth trajectory, while the majority of methodologies—particularly those requiring robust fundamental or valuation data (Graham, Fisher, Lynch, Bagehot)—scored 50 or lower due to insufficient historical evidence. Meanwhile, the lowest scores (Housel at 10, Nelson at 24) flag volatility and overbought conditions, contrasting sharply with Livermore’s neutral stance (63) and Schwager’s indecision (52), both citing unclear trends. The efficient-market camp (Malkiel/Bogle) and behavioral economist Mackay (43) further complicate the picture, with the former dismissing active selection and the latter warning of crowd-driven delusions—highlighting whether the stock’s appeal stems from rational fundamentals or speculative hype.
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)
🟢 81
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
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 71
No obvious signs of crowd mania
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%
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 (Market Cycle)
Mastering the Market Cycle (2018)
🟡 47
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 45
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)
🔴 33
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 31
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 31
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
Jack Schwager
Market Wizards (1989)
🔴 23
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
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 279 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (3 bullish · 7 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 |
|---|---|
| 11.9.2026 | $1.014 |
| 13.3.2026 | $1.442 |
| 12.3.2026 | $1.442 |
| 14.3.2025 | $0.375 |
| 13.3.2025 | $0.375 |
| 13.9.2024 | $0.169 |
| 12.9.2024 | $0.169 |
| 14.3.2024 | $0.219 |
| 13.3.2024 | $0.219 |
| 7.9.2023 | $0.171 |
| 6.9.2023 | $0.171 |
| 16.3.2023 | $0.243 |
Sentiment based on basic keywords (not AI) — 12 positive, 6 neutral, 2 negative out of the last 20 articles.
Yahoo · 17.9.2026
Yahoo · 16.9.2026
Benzinga · 16.9.2026
Yahoo · 15.9.2026
Benzinga · 14.9.2026
ChartMill · 11.9.2026
SeekingAlpha · 11.9.2026
Benzinga · 10.9.2026
Benzinga · 4.9.2026
ChartMill · 4.9.2026
Benzinga · 3.9.2026
ChartMill · 2.9.2026
SeekingAlpha · 31.8.2026
Benzinga · 28.8.2026
Yahoo · 27.8.2026
Insider Monkey · 27.8.2026
Yahoo · 27.8.2026
GuruFocus.com · 27.8.2026
ChartMill · 26.8.2026
Yahoo · 26.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Gold Fields Limited (GFI) — 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 GFI 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.
GFI's technical score is 40/100, 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: Price is above the 50-day average; +8.6% over the last 3 months relative to the index; ADX 27.1 — strong trend.
Based on the real signals StockIQ computed: ATR: 4.0% of price; Price is below the 200-day average; MACD histogram is negative — falling momentum.
Yes — GFI 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 — 4 purchases and 0 sales out of the last 4 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| MacKenzie John Fraser | Open Market Purchase | 23.6.2026 | 500 | +500 | $33.31 |
| MacKenzie John Fraser | Open Market Purchase | 23.6.2026 | 500 | +500 | $33.31 |
| McGill Jacqueline Elizabeth | Open Market Purchase | 2.6.2026 | 500 | +500 | $37.70 |
| McGill Jacqueline Elizabeth | Open Market Purchase | 2.6.2026 | 500 | +500 | $37.70 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
6,959,530 shares short as of 2026-08-31 · vs. 5,392,694 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
39.4% of trading volume this week was short selling, vs. 54.6% 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