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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Energy · ·
$4.65
▲ $0.15 (+3.3%)
Market data updated: 09/18 08:45 PM
News analyzed: 09/18/2026
Market Cap
$109.14M
Day Range
$4.62 - $4.95
52-Week Range
⚠️ Data anomaly
Beta
—
Next Earnings
28.09.2026
Support
$0.09
Resistance
$5.41
ALP is a stock from the Energy sector — Oil, gas, and renewable energy — highly volatile profitability, dependent on global commodity prices.
-25.2% (1Y)
🔴 Weak
Strengths: 8/15 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
🟢 Bullish
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
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: 10.6% 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.
🗓️ What Changed This Week
as of 09/11/202671
This Week
79
7D Ago
↓ -8
Weakening
Technical
72
7D Ago: 82
↓ -10
News
86
7D Ago: 92
↓ -6
Risk
34
7D Ago: 34
→ 0
Biggest Declines
📊 Score History
71
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
5d ago · $4.04
Evidence: Narrative Gap moved from -3 to 32 day-over-day
What happened after
Still awaiting outcome
5d ago · $4.04
Evidence: Euphoria score crossed 55 (now 90)
What happened after
Still awaiting outcome
5d ago · $4.04
Evidence: FOMO score jumped from 10 to 68 day-over-day
What happened after
Still awaiting outcome
14d ago · $0.12
Evidence: Panic-selling score jumped from 14 to 45 day-over-day
What happened after
🐂🐻 Investment Thesis
🐂 Bull Case
⚖️ Base Case
71 / 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 September 11, 2026
Then
79
$3.71
Now
71
$4.65
What happened since
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
72
Risk
34
Sentiment
86
Fundamental
No data available
Institutional
13
Stocks with a similar DNA right now
🕵️ What the Detective found on ALP
Detective Score 90/100 · 3 signals convergingOverall, the signals found here lean positive.
🧠 What the Detective thinks
3 signals are currently converging on ALP at once — see each one broken down below, in plain language, with its own positive/negative read.
What this means now: Several different technical indicators are currently agreeing on the same direction at once — that's unusual; most days they contradict each other.
Why it matters: When several technical indicators agree at once, that's usually more reliable than any single indicator alone.
What this means now: Company directors or executives bought shares on the open market, with their own money, in the last month — not options, a real purchase.
Why it matters: Open-market insider buys are a real action with real money, not just an opinion.
What this means now: The stock moved a lot more (or less) today than the average of other stocks in its sector — it stands out relative to its peers.
Why it matters: A move that meaningfully outpaces its sector suggests something company-specific, not just a sector-wide trend.
📊 Historically, this signal type
This is not a prediction and not investment advice — just a plain-language read of real, already-computed signals. Full details: Stock Detective →
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of **Alpha Compute Corp.** has focused on its financial momentum and regulatory status. The company highlighted a **$1.5 billion sales pipeline** and strong cash flows, positioning itself as a leader in **AI infrastructure and GPU-as-a-service**, while also securing a **180-day extension from Nasdaq** to comply with bid price requirements. Additionally, it was noted for sponsoring the **9/11 & Freedom 250 Gala**, underscoring its community engagement. Market activity around the company was briefly mentioned but lacked detailed context.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Alpha Compute Corp. News trend score: 86. Reason: 8 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
81
🎯 Conviction (vs. Emotion)
50
Investors appear highly excited (81), but evidence of strong fundamental conviction is comparatively weak (50).
Psychology
91
Fundamentals
—
Technical
72
Valuation
—
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 stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
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)
+1788%
Market Narrative
82
Fundamental Reality
50
Narrative Gap
+32
🧠 StockIQ Psychologist
The market behavior for ALP is overwhelmingly consistent with **loss aversion**, as the stock’s steep 3-month drop (-60.3%) and subdued trading activity (0.74x average volume) signal reluctance to further losses. The near-zero FOMO (score 10) and absence of herding or euphoria reinforce caution, while the narrow narrative gap (-1) suggests no misalignment between sentiment and fundamentals. The key question is whether traders will hold or exit, given the stock’s extreme underperformance. The dominant state may shift if volume spikes or sentiment turns negative.
Updated: 09/08/2026, 07:58 PM
What could change this?
👥 What the crowd believes
"received formal notification from Nasdaq granting an additional 180 calendar days to regain compliance"
"provider of high-density AI compute infrastructure and enterprise GPU services"
"sponsor of the 9/11 & Freedom 250 Gala"
🧠 Market Brain events driving this
📈 15D 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
Jesse Livermore — 77/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
Livermore's high score (77) and positive‑trend verdict indicate that, based on his documented price‑action principles, the model estimates the stock shows favorable momentum. In contrast, the efficient‑market assessment (score 61) flags only a mixed case, reflecting its emphasis on index comparison rather than individual price patterns. Several fundamental‑oriented frameworks (Graham, Fisher, Lynch, Bagehot, Graham‑Enterprising) sit at the neutral midpoint (score 50) because the required balance‑sheet, valuation or growth data is insufficient, leading the model to estimate no clear signal. Risk‑focused thinkers such as Marks, Loeb, Veblen, Nelson, Mackay and Housel produce low scores (18‑0) and cautionary verdicts, suggesting that, according to their cycle, valuation and crowd‑behavior criteria, the stock appears risky or overbought.
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟢 77
Positive trend — the price action Livermore looked for
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 63
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)
🟡 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%
Jack Schwager
Market Wizards (1989)
🟡 41
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 22
Looks late-cycle — the position Marks would treat with extra caution
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 20
Pattern Veblen would flag as growth pursued for its own sake
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)
🔴 18
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 6
Cycle looks stretched toward 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)
🔴 4
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
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 280 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (8 bullish · 5 bearish · 0 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.
Sentiment based on basic keywords (not AI) — 8 positive, 10 neutral, 2 negative out of the last 20 articles.
ChartMill · 10.9.2026
Yahoo · 10.9.2026
ACCESS Newswire · 10.9.2026
ChartMill · 10.9.2026
GlobeNewswire · 10.9.2026
Benzinga · 10.9.2026
Yahoo · 9.9.2026
GlobeNewswire · 9.9.2026
Yahoo · 4.9.2026
GlobeNewswire · 4.9.2026
ChartMill · 4.9.2026
MT Newswires · 4.9.2026
ChartMill · 3.9.2026
Benzinga · 3.9.2026
Yahoo · 1.9.2026
GlobeNewswire · 1.9.2026
Benzinga · 1.9.2026
Yahoo · 1.9.2026
GlobeNewswire · 1.9.2026
Yahoo · 31.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Alpha Compute Corp (ALP) — 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 ALP 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.
ALP's technical score is 72/100, which currently reads as bullish — 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; Price is above the 200-day average; MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: ATR: 10.6% of price; Calmar: -0.56 (3y annualized return -55.5% / max drawdown 99.8%); CMF 20 days: -0.12.
StockIQ has no recorded dividend payment history for ALP.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 1 purchases and 7 sales out of the last 8 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Levitt Wesley Allen | Open Market Purchase | 9.9.2026 | 1,000 | +1,000 | $5.10 |
| PORTAGE BIOTECH INC. | Open Market Sale | 23.1.2018 | 24,277 | -24,277 | $331,520.00 |
| PORTAGE BIOTECH INC. | Open Market Sale | 19.1.2018 | 35,119 | -35,119 | $30.03 |
| PORTAGE BIOTECH INC. | Open Market Sale | 9.1.2018 | 56,157 | -56,157 | $30.08 |
| PORTAGE BIOTECH INC. | Open Market Sale | 8.1.2018 | 5,728 | -5,728 | $30.02 |
| PORTAGE BIOTECH INC. | Open Market Sale | 5.1.2018 | 22,996 | -22,996 | $30.03 |
| PORTAGE BIOTECH INC. | Open Market Sale | 4.1.2018 | 4,350 | -4,350 | $28.62 |
| PORTAGE BIOTECH INC. | Open Market Sale | 3.1.2018 | 35,650 | -35,650 | $28.61 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
2,354,529 shares short as of 2026-08-31 · vs. 944,529 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
45.9% of trading volume this week was short selling, vs. 57.8% 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