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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Basic Materials · ·
$19.84
▲ $0.35 (+1.8%)
Market data updated: 09/20 01:48 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$9.75B
Day Range
$19.27 - $19.94
52-Week Range
$10.19 - $32.04
Beta
—
Next Earnings
03.11.2026
Support
$14.11
Resistance
$22.19
AG is a stock from the Materials sector — Mining, chemicals, and metals — the raw materials that feed other industries, sensitive to commodity prices.
+99.6% (1Y)
Strengths: 12/27 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
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 200.0%
Growth
Biggest negative driver
Daily volatility (ATR)
ATR: 5.2% of price
Risk
Signal tension
Growth scores strong (74/100), but fair-value analysis scores this stock as relatively expensive (45/100) — the growth story and the current price aren't fully aligned.
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.
🗓️ 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
59
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
74
Quality
55
Value
45
Momentum
45
Risk
54
Sentiment
98
Fundamental
59
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 First Majestic Silver Corp. (AG) highlights its strong growth potential and technical market positioning. Analysts emphasize its bullish technical breakout, high growth momentum, and favorable valuation, positioning it as a standout silver miner amid rising industrial demand—particularly in AI, solar, and electric vehicles. The broader silver market is noted for its sixth consecutive year of supply deficit, driving investor interest in high-grade producers like First Majestic. Additionally, options market activity suggests anticipation of a potential stock spike.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about First Majestic Silver Corp. Ordinary Shares (Canada). News trend score: 98. Reason: 11 of the last 20 articles are positive, versus 3 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
15
🎯 Conviction (vs. Emotion)
52
Psychology
17
Fundamentals
59
Technical
45
Valuation
45
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.
The price rise has far outpaced the actual improvement in fundamental data.
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)
+10%
Market Narrative
61
Fundamental Reality
52
Narrative Gap
+9
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant herding behavior (score 77) suggests investors are aligning with peer group movements, particularly after today’s underperformance relative to sector peers. The narrative gap (10 points) hints at a disconnect between market perception (optimistic) and technical reality (weak momentum, modest overvaluation). Euphoria (22) and overconfidence (9) persist due to price premiums over fair value, while FOMO (19) remains muted by weak momentum. The key question is whether herding will sustain or reverse as sentiment remains detached from fundamentals.
Updated: 09/09/2026, 01:04 AM
What could change this?
👥 What the crowd believes
"Silver spent much of the last decade as the metal investors loved to forget... Silver Institute pointing to a sixth consecutive year of global supply deficit, estimated at roughly 46 million ounces for 2026"
"First Majestic Silver stock has surged over the past three years... 247.1% return over the past three years highlights how strongly First Majestic Silver has already rewarded investors"
"First Majestic Silver (AG) pairs strong growth fundamentals with a bullish technical breakout... blending earnings acceleration with a consolidation setup near entry"
"Silver and gold miners fell hardest after Kevin Warsh signaled a strong commitment against inflation. First Majestic Silver dropped 5%"
📈 13D Investor Psychology
Signal classification confidence: High (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
Jack Schwager — 13/100
🗣️ Why do they disagree?
This stock sparks a sharp divide between growth-focused and value-oriented methodologies. Peter Lynch and Edgar Lawrence Smith both rate it as a near-perfect 'buy and hold' candidate, seeing untapped upside in its growth trajectory—Lynch even suggests the price hasn’t fully reflected its potential. Meanwhile, Benjamin Graham’s models reject it outright, calling it too risky and failing defensive valuation standards, while even his 'Enterprising Investor' version dismisses it as statistically overpriced. The middle ground is occupied by pragmatists like Fisher and Marks, who acknowledge strong fundamentals but caution that investor enthusiasm may have already priced in gains. The contrast highlights a core tension: growth investors see a high-conviction play, while value and cycle-sensitive models warn of stretched valuations or speculative bubbles.
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 100
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟢 92
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 75
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 72
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 63
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 62
Mid-cycle — no strong signal either way
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)
🟡 61
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 57
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 53
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: 45%
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 45
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 41
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 36
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
Not statistically cheap enough for the Enterprising Investor's looser safety bar
Key question
Is the stock statistically cheap enough to justify the extra risk?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 29
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
Jack Schwager
Market Wizards (1989)
🔴 13
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 280 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (3 bullish · 5 bearish · 2 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.
Low 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
36.4%
Operating Margin
31.9%
Net Margin
13.1%
EBITDA Margin
—
ROE
-7.5%
ROA
-5.1%
ROIC
—
EPS
$0.34
Cash
$793.43M
Total Debt
$291.73M
Current Ratio
2.56
Debt/Equity
0.18
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 14.8.2026 | $0.015 |
| 20.5.2026 | $0.017 |
| 19.5.2026 | $0.017 |
| 27.2.2026 | $0.008 |
| 26.2.2026 | $0.008 |
| 16.5.2025 | $0.005 |
| 15.5.2025 | $0.005 |
| 28.2.2025 | $0.006 |
| 27.2.2025 | $0.006 |
| 15.11.2024 | $0.005 |
| 14.11.2024 | $0.005 |
| 16.8.2024 | $0.005 |
How is Fair Value calculated? →
Current Price
$19.84
Estimated Fair Value (DCF)
$18.90
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-4.8%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
10.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 10.0% | $510.31M | $468.17M |
| 2 | 8.1% | $551.77M | $464.41M |
| 3 | 6.3% | $586.25M | $452.70M |
| 4 | 4.4% | $611.90M | $433.49M |
| 5 | 2.5% | $627.20M | $407.64M |
Base FCF (last actual year)
$463.91M
Terminal Value
$9.89B
Present Value of Terminal Value
$6.43B
Enterprise Value
$8.65B
Net Debt
$-501.71M
Equity Value
$9.16B
*The DCF model is an estimate based on assumptions — not a guaranteed forecast. You can change the assumptions to examine different scenarios.
Book Value per Share
$4.47
Tangible Book Value per Share (Tangible NAV)
—
Sentiment based on basic keywords (not AI) — 11 positive, 6 neutral, 3 negative out of the last 20 articles.
Yahoo · 18.9.2026
Yahoo · 17.9.2026
Yahoo · 14.9.2026
24/7 Wall St. · 14.9.2026
Benzinga · 10.9.2026
Yahoo · 9.9.2026
ACCESS Newswire · 9.9.2026
Yahoo · 9.9.2026
TMX Newsfile · 9.9.2026
ChartMill · 7.9.2026
ChartMill · 5.9.2026
Yahoo · 3.9.2026
Simply Wall St. · 3.9.2026
Yahoo · 2.9.2026
CNW Group · 2.9.2026
SeekingAlpha · 31.8.2026
Yahoo · 28.8.2026
Zacks · 28.8.2026
Benzinga · 28.8.2026
Benzinga · 28.8.2026
First Majestic Silver Corp. Ordinary Shares (Canada) (AG) currently has a StockIQ AI score of 59/100, rated "Moderate". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
AG currently scores 59/100 (Moderate) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
Per StockIQ's DCF model, AG's estimated fair value is $18.90, which is 4.8% below the current price of $19.84. This is one valuation model among several signals in the fair-value category, not a price target.
AG's technical score is 45/100, which currently reads as neutral — 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: Earnings per share (EPS) growth: 200.0%; Free cash flow growth: 251.6%; Net income growth: 307.1%.
Based on the real signals StockIQ computed: ATR: 5.2% of price; Return on equity (ROE): -7.5% (negative); Price is below the 200-day average.
Yes — AG 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 — 1 purchases and 0 sales out of the last 1 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| PIPER VINITA LEE | Open Market Purchase | 14.5.2019 | 22,055 | +22,055 | $5.93 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
22,358,260 shares short as of 2026-08-31 · vs. 21,701,464 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
39.0% of trading volume this week was short selling, vs. 38.5% 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