Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Utilities · ·
$12.22
▲ $0.14 (+1.2%)
Market data updated: 10/01 11:32 PM
News analyzed: 10/01/2026
Market Cap
$3.63B
Day Range
$12.08 - $12.36
52-Week Range
$11.38 - $17.88
Beta
—
Next Earnings
04.11.2026
Support
$11.42
Resistance
$14.18
TAC is a stock from the Utilities sector — Electricity, water, and residential gas — steady demand and heavy regulation, considered a defensive, dividend-paying sector.
-11.4% (1Y)
🔴 Weak
Strengths: 5/15 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
🟡 Mixed
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
MACD
MACD histogram is positive — rising momentum
Technical
Biggest negative driver
Death Cross
SMA 50 recently crossed below SMA 200
Technical
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
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.
🧬 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
39
Risk
42
Sentiment
100
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 TransAlta Corporation has focused on its financial performance and regulatory developments. Investors have scrutinized whether its stock price reflects its strong 48.3% return over three years, particularly amid a recent U.S. Department of Energy order supporting its Centralia Unit operations. Additionally, the company’s Q2 earnings call highlighted resilient execution despite temporary challenges, while regulatory approvals—such as FERC’s backing for gas-fired power plant deals—underscore its strategic expansion in energy infrastructure. No direct operational or major scandal-related details were provided.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about TransAlta Corporation. News trend score: 100. Reason: 11 of the last 19 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
24
🎯 Conviction (vs. Emotion)
50
Psychology
52
Fundamentals
—
Technical
39
Valuation
—
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
-9%
Market Narrative
71
Fundamental Reality
50
Narrative Gap
+21
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant anchoring behavior reflects traders focusing on the stock’s proximity to support (1.3% away), likely using it as a mental reference point for entry/exit decisions. The low FOMO and herding scores (13 and 37) imply limited urgency or peer-driven momentum, despite positive sentiment (92/100). The narrative gap (5 points) hints at a slight disconnect between market perception and technical reality, but the data suggests traders are anchored to recent price levels rather than broader market narratives. The key question is whether this support level holds or if traders will reassess anchors if prices deviate further.
Updated: 09/04/2026, 10:20 PM
What could change this?
👥 What the crowd believes
"Class A shareholders have received a total of $17.50 per share... for a combined total of $28.4"
"TransAlta Q2 Adjusted Earnings Beat Estimates as Revenue Rises"
"TransAlta (TAC) stays a buy: resilient Q2, strong contracts, 2026 EBITDA guide intact"
"Strategic Resilience and Data Center electrification tailwinds"
📈 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 — 67/100
🔴 Weakest match
Samuel Armstrong Nelson — 24/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with scores ranging from a cautious 24 to a speculative 100, reflecting deep philosophical and analytical differences. Edgar Lawrence Smith’s near-perfect score suggests he might see potential in dividend or growth trends, though his verdict flags insufficient data—a rare case where the model’s confidence clashes with its verdict. Meanwhile, the efficient-market and cycle-based approaches (Malkiel/Bogle and Marks) hover around the midpoint, signaling neither strong conviction nor outright rejection, while Mackay’s moderate score hints at crowd-driven momentum that could either fuel gains or lead to a bubble. On the other end, Graham’s strict valuation frameworks and Lynch’s growth focus all hit the floor due to missing data, while Livermore’s low score and Nelson’s overbought warning highlight technical or cyclical red flags that contrast sharply with Smith’s optimism. The debate thus pits fundamental uncertainty against speculative excitement, with no clear consensus beyond the lack of concrete data for most traditional investors.
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 67
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 51
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 51
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
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%
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 47
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)
🟡 47
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 43
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 36
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
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 24
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Based on the last 289 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (5 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 downtrend 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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 1.9.2026 | $0.051 |
| 1.6.2026 | $0.051 |
| 27.2.2026 | $0.048 |
| 26.2.2026 | $0.048 |
| 29.8.2025 | $0.047 |
| 28.8.2025 | $0.047 |
| 30.5.2025 | $0.047 |
| 29.5.2025 | $0.047 |
| 28.2.2025 | $0.042 |
| 27.2.2025 | $0.042 |
| 29.11.2024 | $0.043 |
| 28.11.2024 | $0.043 |
Sentiment based on basic keywords (not AI) — 11 positive, 8 neutral, 0 negative out of the last 19 articles.
Yahoo · 25.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Yahoo · 7.9.2026
Yahoo · 19.8.2026
GlobeNewswire · 19.8.2026
GlobeNewswire · 19.8.2026
Utility Dive · 14.8.2026
SeekingAlpha · 7.8.2026
SeekingAlpha · 3.8.2026
MarketBeat · 1.8.2026
GuruFocus.com · 31.7.2026
MT Newswires · 31.7.2026
SeekingAlpha · 31.7.2026
MT Newswires · 31.7.2026
Associated Press · 31.7.2026
GlobeNewswire · 31.7.2026
Benzinga · 31.7.2026
GlobeNewswire · 29.7.2026
StockIQ doesn't currently have enough real data to compute a reliable score for TransAlta Corporation (TAC) — 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 TAC 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.
TAC's technical score is 39/100, 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: MACD histogram is positive — rising momentum; RSI 52.3 — healthy positive momentum; Price is above the SAR point — uptrend.
Based on the real signals StockIQ computed: SMA 50 recently crossed below SMA 200; Calmar: 0.31 (3y annualized return 13.5% / max drawdown 43.5%); Price is below the 50-day average.
Yes — TAC 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 — 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.
13,673,000 shares short as of 2026-09-15 · vs. 11,605,180 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
68.4% of trading volume this week was short selling, vs. 66.2% 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