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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Basic Materials · ·
$13.84
▼ $0.29 (-2.1%)
Market data updated: 09/19 10:49 PM
News analyzed: 09/19/2026
Market Cap
$3.64B
Day Range
$13.68 - $14.59
52-Week Range
$5.24 - $24.41
Beta
—
Next Earnings
02.11.2026
Support
$10.74
Resistance
$19.45
ALM is a stock from the Materials sector — Mining, chemicals, and metals — the raw materials that feed other industries, sensitive to commodity prices.
+179.0% (1Y)
🟡 Moderate
Strengths: 1/13 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
🔴 Bearish
Technical Trend
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Calmar Ratio (return vs. drawdown)
Calmar: 2.72 (3y annualized return 157.7% / max drawdown 57.9%)
Risk
Biggest negative driver
Daily volatility (ATR)
ATR: 8.9% of price
Risk
What to watch next
When today echoes the past.
74/100
Similarity
6
Historical Matches
68/100
Analog Quality
-10.6%
Median 40D Outcome
28/100
Pattern Consistency
🟢 Bullish
67%
+7.6% … +20.9%
🟡 Base
0%
— … —
🔴 Bearish
33%
-6.2% … -4.5%
Typical timeframe (based on real historical rates clearing a 60% bar): 5 trading days.
📌 Bottom line: Out of 6 similar historical cases for this stock, 67% (95% CI 30%–90%) saw the stock rise within 20 trading days, with a median gain of +6.6%.
Echo #1 — Momentum Breakout
1 occurrence(s) · 100% historical success
Historical outcome rate is not a probability — it's what happened in this specific historical sample, with a 95% confidence range.
| Horizon | Positive rate (95% CI) | Median | 25th–75th pct | Baseline median |
|---|---|---|---|---|
| 5D | 83% (44%–97%) | +9.6% | +3.8% … +17.4% | -2.6% |
| 10D | 50% (19%–81%) | +3.0% | -4.7% … +7.4% | -5.6% |
| 20D | 67% (30%–90%) | +6.6% | -1.5% … +13.9% | -6.9% |
| 40D | 33% (10%–70%) | -10.6% | -16.7% … +3.8% | -11.0% |
| 60D | 33% (10%–70%) | -16.8% | -28.3% … +7.8% | -13.9% |
Sample size: 6 analogs, each at least 10 trading days apart (no double-counted overlapping events).
What happened after each historical match (20-day return)
| Date | Similarity | Regime | 20D outcome | 60D outcome |
|---|---|---|---|---|
| 2026-05-14 | 74/100 | High Volatility | -3.6% | -27.6% |
| 2026-03-31 | 72/100 | High Volatility | +36.5% | +12.4% |
| 2026-06-10 | 68/100 | ✓ High Volatility | +8.6% | +14.8% |
| 2026-04-29 | 53/100 | High Volatility | +4.7% | -32.5% |
| 2026-03-17 | 47/100 | ✓ High Volatility | +15.6% | -6.0% |
| 2026-04-15 | 38/100 | High Volatility | -7.0% | -28.5% |
Every accepted match is compared to today across 6 domains (price structure, momentum, technical, volatility, volume, relative strength) using z-scored feature distances — no single indicator dominates. Matches within 10 trading days of each other count as one event, not independent evidence. Outcome rates use a Wilson confidence interval (never a raw percentage alone), the mean return is winsorized against extreme outliers, and "Analog Quality" separately captures sample size, data completeness, and regime match — distinct from raw similarity. Relative strength is measured against SPY and against XLB (this stock's sector).
Cross-stock analogs — real other companies, not this stock's own history.
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.
Almonty Industries (ALM) demonstrates a robust overall investor score of 89, driven primarily by a near-perfect news sentiment score of 100 and strong technical indicators. The company’s stock price remains above both its 50-day and 200-day moving averages, supported by a positive MACD histogram and an RSI of 65.8, indicating healthy upward momentum. However, the RSI’s elevated value (91.3) suggests the stock may be overbought, while the ATR (6.4% of price) highlights potential volatility. The technical category scores highly (92) due to these bullish trends, though the overbought condition introduces caution. Meanwhile, the risk score (50) reflects concerns over volatility and the stock’s historical volatility (57.9% max drawdown over three years), tempering the otherwise optimistic outlook. The news category’s dominance—with multiple positive analyst ratings and strategic initiatives like a $300M buyback—reinforces confidence in the company’s growth narrative, particularly in critical minerals amid electrification demand.
The stock price is consistently above both the 50-day and 200-day moving averages, with a positive MACD histogram and an RSI of 65.8 indicating strong upward momentum. However, the %K value of 91.3 signals an overbought condition, which may limit further short-term gains.
Technical strength suggests sustained bullish momentum, but overbought conditions could trigger a near-term pullback or consolidation.
Analysts at Jefferies have issued multiple positive ratings, including a 'Buy' with a $26.25 price target, alongside coverage of strategic initiatives like a $300M share buyback. Neutral commentary on critical mineral bottlenecks balances the positive sentiment.
Strong analyst sentiment and strategic capital allocation reinforce investor confidence in ALM’s long-term growth potential, particularly in high-demand sectors.
The ATR (6.4% of price) and historical volatility (57.9% max drawdown over three years) indicate significant price volatility and downside risk. The high volatility may pose challenges for risk-averse investors.
Elevated volatility and past drawdowns suggest the stock carries material risk, particularly for investors sensitive to price swings.
StockIQ conclusion
Almonty Industries (ALM) presents a compelling profile with strong technical indicators and overwhelmingly positive analyst sentiment, supported by strategic initiatives like share buybacks. However, the stock’s elevated volatility and overbought condition introduce meaningful risk, particularly for short-term investors. The company’s exposure to critical minerals—driven by electrification demand—provides a clear growth catalyst, though sector-specific and operational risks remain. While the data suggests a fundamentally strong position, investors should monitor volatility and macroeconomic factors closely to assess evolving risk-reward dynamics.
Written automatically from the computed data shown on this page only — not investment advice.
🗓️ What Changed This Week
as of 09/10/202639
This Week
82
7D Ago
↓ -43
Weakening
Technical
13
7D Ago: 84
↓ -71
News
98
7D Ago: 92
↑ +6
Risk
50
7D Ago: 50
→ 0
Biggest Improvements
Biggest Declines
📊 Score History
39
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
9d ago · $16.80
Evidence: -6.9pp vs. sector average today
What happened after
Still awaiting outcome
9d ago · $16.80
Evidence: 9 bullish / 1 bearish technical signals agreeing
What happened after
Still awaiting outcome
9d ago · $18.33
Evidence: -3.3pp vs. sector average today
What happened after
9d ago · $18.33
Evidence: +5.5pp vs. sector average today
What happened after
10d ago · $18.33
Evidence: -3.1pp vs. sector average today
What happened after
10d ago · $18.33
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
10d ago · $18.62
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
10d ago · $18.62
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
11d ago · $19.12
Evidence: +9.8pp vs. sector average today
What happened after
11d ago · $19.12
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
11d ago · $19.12
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
18d ago · $17.80
Evidence: -4.7pp vs. sector average today
What happened after
18d ago · $17.80
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
18d ago · $17.80
Evidence: 10 bullish / 1 bearish technical signals agreeing
What happened after
22d ago · $17.90
Evidence: -4.6pp vs. sector average today
What happened after
22d ago · $17.90
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
22d ago · $17.90
Evidence: 10 bullish / 2 bearish technical signals agreeing
What happened after
23d ago · $18.89
Evidence: +3.7pp vs. sector average today
What happened after
23d ago · $18.89
Evidence: המניה במגמת עלייה ברורה ללא טווח מסחר מוגדר בטווח הזמן שנבדק.
What happened after
23d ago · $18.89
Evidence: 11 bullish / 2 bearish technical signals agreeing
What happened after
🐂🐻 Investment Thesis
🐂 Bull Case
⚖️ Base Case
39 / 100
🐻 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
84
$18.93
Now
39
$13.84
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
13
Risk
50
Sentiment
98
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 Almonty Industries Inc. has centered on its tungsten-focused operations amid rising demand for critical minerals. The company gained attention for initiating a $300 million share buyback program, sparking debate over capital allocation timing ahead of its Sangdong mine’s full production ramp-up. Additionally, Jefferies analyst Laurence Alexander initiated coverage with a *Buy* rating and a $26.25 price target, citing strong sector trends in electrification, AI, and defense-driven mineral demand. Tungsten stocks broadly saw renewed interest in August.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Almonty Industries Inc. - Common. News trend score: 98. Reason: 9 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
33
🎯 Conviction (vs. Emotion)
50
Psychology
72
Fundamentals
—
Technical
13
Valuation
—
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
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.
Price (3M)
-26%
Market Narrative
52
Fundamental Reality
50
Narrative Gap
+2
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
ALM’s psychology is dominated by anchoring, as traders fixate on the 1.7% gap below resistance despite euphoric momentum and sentiment. The narrative-reality gap (24) hints at overoptimism, but FOMO remains muted by peer underperformance. Key tension: will traders break resistance or retreat to prior levels? The open question is whether anchoring persists or shifts to euphoria as momentum sustains.
Updated: 09/09/2026, 08:42 AM
What could change this?
👥 What the crowd believes
"Jefferies initiated coverage of several companies tied to advanced materials and energy-efficiency solutions, arguing that electrification [...] creates durable demand"
"Almonty Industries Inc. authorized a $300M buyback before Sangdong fully ramps"
🧠 Market Brain events driving this
📈 19D 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 — 94/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
Based on their documented principles, the model estimates that Livermore and the efficient‑market duo give the stock relatively high scores (59 and 57), hinting that price momentum or modest undervaluation might be present. In contrast, several value‑oriented and fundamental investors—Graham, Fisher, Lynch, Bagehot and the enterprising Graham—assign the same mid‑range score of 50 but all note insufficient balance‑sheet, valuation or growth data to form a real reading, which pulls the overall consensus toward caution. Technical‑focused analysts such as Mackay, Schwager, Marks, Loeb and the cycle‑oriented Marks also assign lower scores and warn of crowd excitement, heightened risk, stretched cycles or volatility that could unsettle patient holders. This spread of scores and verdicts reflects the different weight each methodology places on price trends, fundamentals, risk metrics and market timing, leading to divergent or mixed conclusions about the stock’s attractiveness.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 94
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 76
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 76
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 54
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
Jack Schwager
Market Wizards (1989)
🟡 51
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%
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%
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 30
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)
🔴 15
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
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
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 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 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 downtrend 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.
Sentiment based on basic keywords (not AI) — 9 positive, 10 neutral, 1 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Benzinga · 17.9.2026
SeekingAlpha · 17.9.2026
Yahoo · 16.9.2026
Yahoo · 15.9.2026
Yahoo · 14.9.2026
Benzinga · 14.9.2026
Benzinga · 10.9.2026
Yahoo · 10.9.2026
Yahoo · 9.9.2026
CNW Group · 9.9.2026
Yahoo · 2.9.2026
Investing.com · 2.9.2026
Benzinga · 2.9.2026
MT Newswires · 2.9.2026
Yahoo · 27.8.2026
Insider Monkey · 27.8.2026
The Wall Street Journal · 27.8.2026
MT Newswires · 25.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Almonty Industries Inc. - Common (ALM) — 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 ALM 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.
ALM's technical score is 13/100, 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: Calmar: 2.72 (3y annualized return 157.7% / max drawdown 57.9%).
Based on the real signals StockIQ computed: ATR: 8.9% of price; Price is below the 50-day average; Price is below the 200-day average.
StockIQ has no recorded dividend payment history for ALM.
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.
23,972,044 shares short as of 2026-08-31 · vs. 27,450,934 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
36.4% of trading volume this week was short selling, vs. 53.4% 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