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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
· ·
$4.31
▲ $0.17 (+4.1%)
Market data updated: 09/19 03:57 PM
News analyzed: 09/19/2026
Market Cap
Not available
Day Range
$3.99 - $4.36
52-Week Range
$3.99 - $10.25
Beta
—
Next Earnings
—
Support
$3.99
Resistance
$8.49
-54.4% (1Y)
⚠️ Insufficient data for a reliable StockIQ Score
Only 3 of 7 categories available — Fundamental, Growth, Valuation, Quality unavailable.
Strengths: 0/11 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
🔴 Bearish
Technical Trend
🔴 Bearish
No notable strengths identified.
Computed directly from the same signals behind the score above — not AI-generated.
Biggest negative driver
Daily volatility (ATR)
ATR: 9.7% of price
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
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
38
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
21
Risk
42
Sentiment
80
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 Bitzero Holdings Inc. has focused on its financial and operational progress, highlighting strategic partnerships, funding, and expansion efforts. Key themes include a **$25 million private placement** to bolster capital, plans to **prepay a loan**, and a **collaboration with Vertiv** to strengthen technical and supply chain capabilities. Additionally, the company announced a **land reservation agreement in Finland**, expanding its Nordic development portfolio, while broader industry discussions mention its potential role in AI-related sectors.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Bitzero Holdings Inc. - Common. News trend score: 80. Reason: 5 of the last 15 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
27
🎯 Conviction (vs. Emotion)
50
Psychology
86
Fundamentals
—
Technical
21
Valuation
—
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-52%
Market Narrative
45
Fundamental Reality
50
Narrative Gap
-5
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant **Loss Aversion** state (88) reflects a market deeply anchored to recent downside, where investors hesitate to crystallize losses despite muted volume (0.84x avg). The narrative gap (-8) suggests reality (50) slightly outpaces sentiment (42), but the 3-month decline (-47.6%) keeps traders cautious. Low FOMO (6) and neutral RSI (38) imply no urgency to chase gains, while Panic Selling (38) is dampened by stable volatility (0.74x ATR). The key question: Will traders break their reluctance if support holds, or will the 9.1% proximity to it trigger defensive positioning?
Updated: 09/09/2026, 01:27 PM
What could change this?
👥 What the crowd believes
"Bitzero Announces Closing of US$25 Million Private Placement"
"Bitzero Deepens Technical & Supply Chain Capabilities Through Collaboration with Vertiv"
"Bitzero Announces Notice of Intention to Prepay Loan"
"Bitzero Expands Nordic Development Portfolio with Land Reservation Agreement for New Finland Site"
📈 3D 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 — 91/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
The methodologies for AIBZ split sharply between those focused on market psychology and cyclical positioning and those that either lack sufficient data or flag red flags. Samuel Armstrong Nelson and Charles Mackay both see favorable conditions—Nelson spots a potential oversold cycle, while Mackay detects no crowd-driven mania—but their scores (93 and 86) contrast sharply with Howard Marks’ mid-cycle caution (79). Meanwhile, the Graham, Fisher, Lynch, and Bagehot models all default to neutral (50) due to insufficient fundamental or balance-sheet data, leaving their verdicts inconclusive. On the other end, the most bearish signals come from volatility-averse thinkers like Morgan Housel (0) and trend-followers like Jesse Livermore (6), who would avoid it outright, while efficient-market adherents like Malkiel/Bogle (21) dismiss it as a poor fit for passive indexing. The divergence highlights a core tension: cyclical bulls see opportunity, while risk-averse or data-starved frameworks either ignore or reject it.
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 91
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
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
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
Jack Schwager
Market Wizards (1989)
🟡 53
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%
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 36
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 26
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 26
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
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 71 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 8 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 downtrend with no defined trading range in the period examined.
High 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) — 5 positive, 10 neutral, 0 negative out of the last 15 articles.
Yahoo · 14.9.2026
Yahoo · 10.9.2026
TMX Newsfile · 10.9.2026
Benzinga · 2.9.2026
Yahoo · 1.9.2026
TMX Newsfile · 1.9.2026
Simply Wall St. · 12.8.2026
TMX Newsfile · 4.8.2026
TMX Newsfile · 31.7.2026
TMX Newsfile · 30.7.2026
MT Newswires · 29.7.2026
TMX Newsfile · 29.7.2026
Trefis · 10.7.2026
Oilprice.com · 2.7.2026
TMX Newsfile · 23.6.2026
StockIQ doesn't currently have enough real data to compute a reliable score for Bitzero Holdings Inc. - Common (AIBZ) — 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 AIBZ 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.
AIBZ's technical score is 21/100, 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: ATR: 9.7% of price; Price is below the 50-day average; MACD histogram is negative — falling momentum.
StockIQ has no recorded dividend payment history for AIBZ.
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.
1,111,076 shares short as of 2026-08-31 · vs. 931,887 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
57.6% of trading volume this week was short selling, vs. 67.2% 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