Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Finance · ·
$4.59
▲ $0.06 (+1.3%)
Market data updated: 09/26 11:38 AM
Fundamentals updated: 09/26/2026
News analyzed: 09/26/2026
Market Cap
$465.40M
Day Range
$4.40 - $4.78
52-Week Range
$1.86 - $9.20
Beta
—
Next Earnings
11.11.2026
Support
$3.29
Resistance
$4.78
+92.1% (1Y)
Strengths: 11/27 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
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Liquidity risk
Current ratio: 10.97
Risk
Biggest negative driver
DCF Fair Value
Estimated fair value: -$12.73 vs. price $4.59 (-377.3%)
Fair Value
What to watch next
When today echoes the past.
82/100
Similarity
7
Historical Matches
73/100
Analog Quality
+28.9%
Median 40D Outcome
0/100
Pattern Consistency
🟢 Bullish
43%
+63.8% … +147.4%
🟡 Base
0%
— … —
🔴 Bearish
57%
-36.3% … -19.6%
📌 Bottom line: Out of 7 similar historical cases for this stock, 43% (95% CI 16%–75%) saw the stock rise within 20 trading days, with a median gain of -7.0%.
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 | 43% (16%–75%) | -2.4% | -11.9% … +17.7% | +0.5% |
| 10D | 43% (16%–75%) | -8.3% | -13.3% … +8.7% | -2.4% |
| 20D | 43% (16%–75%) | -7.0% | -30.0% … +63.8% | -4.1% |
| 40D | 57% (25%–84%) | +28.9% | -47.3% … +78.5% | -7.4% |
| 60D | 43% (16%–75%) | -3.8% | -43.9% … +112.9% | -6.8% |
Sample size: 7 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 |
|---|---|---|---|---|
| 2026-04-15 | 82/100 | ✓ High Volatility | +195.8% | +48.6% |
| 2026-03-05 | 78/100 | High Volatility | -23.8% | +177.2% |
| 2026-05-04 | 66/100 | ✓ High Volatility | +99.0% | -3.8% |
| 2026-03-19 | 57/100 | High Volatility | +28.6% | +191.3% |
| 2026-06-22 | 51/100 | ✓ High Volatility | -36.2% | -44.8% |
| 2026-06-04 | 48/100 | ✓ High Volatility | -36.6% | -51.9% |
| 2026-05-18 | 39/100 | ✓ High Volatility | -7.0% | -43.0% |
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.
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.
🗓️ 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
50
Today
—
30D
—
90D
—
1Y
🐂🐻 Investment Thesis
🐂 Bull Case
🐻 Bear Case
🔍 What Could Prove This Wrong
Not enough data yet to generate this synthesis.
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
26
Quality
No data available
Value
38
Momentum
78
Risk
48
Sentiment
62
Fundamental
35
Institutional
25
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.
Everyone's writing about Digi Power X Inc. - Common Subordinate Voting. News trend score: 62. Reason: 4 of the last 13 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
55
🎯 Conviction (vs. Emotion)
38
Psychology
63
Fundamentals
35
Technical
78
Valuation
38
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price (3M)
-17%
Market Narrative
72
Fundamental Reality
38
Narrative Gap
+34
🔀 Weak-Conviction Rally
Price is moving, but not accompanied by a matching rise in news attention/sentiment.
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
Walter Bagehot — 100/100
🔴 Weakest match
Morgan Housel — 0/100
Walter Bagehot
Lombard Street (1873)
🟢 100
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟢 81
Attractive to a Defensive Graham Investor
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟢 71
Positive trend — the price action Livermore looked for
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 57
Some discount, but not the deep 'net-net' bargain Graham's enterprising bar sets
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 53
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 53
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 50
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
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
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 34
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
Jack Schwager
Market Wizards (1989)
🔴 33
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 8
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 8
Doesn't show the stability Smith's long-term case requires
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 0
Doesn't show the quality/growth signature Fisher required
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🔴 0
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 40%
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?
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 an uptrend (9 bullish · 2 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 uptrend 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.
Gross Margin
-9.4%
Operating Margin
—
Net Margin
-82.9%
EBITDA Margin
—
ROE
-23.0%
ROA
-21.1%
ROIC
—
EPS
-$0.64
Cash
$78.48M
Total Debt
—
Current Ratio
10.97
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$4.59
Estimated Fair Value (DCF)
-$12.73
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-377.3%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
-5.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | -5.0% | $-40.69M | $-37.33M |
| 2 | -3.1% | $-39.42M | $-33.18M |
| 3 | -1.2% | $-38.93M | $-30.06M |
| 4 | 0.6% | $-39.17M | $-27.75M |
| 5 | 2.5% | $-40.15M | $-26.09M |
Base FCF (last actual year)
$-42.83M
Terminal Value
$-633.12M
Present Value of Terminal Value
$-411.49M
Enterprise Value
$-565.90M
Net Debt
$0
Equity Value
$-565.90M
*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
$2.77
Tangible Book Value per Share (Tangible NAV)
$2.75
Sentiment based on basic keywords (not AI) — 4 positive, 7 neutral, 2 negative out of the last 13 articles.
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Digi Power X Inc. - Common Subordinate Voting (DGXX) currently has a StockIQ AI score of 50/100, rated "Moderate" (a partial score — based on only 6 of 7 categories, some data is currently unavailable). The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
DGXX currently scores 50/100 (Moderate) across the categories we measure (a partial score — based on only 6 of 7 categories, some data is currently unavailable). 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, DGXX's estimated fair value is -$12.73, which is 377.3% below the current price of $4.59. This is one valuation model among several signals in the fair-value category, not a price target.
DGXX's technical score is 78/100, 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: Current ratio: 10.97; Price is above the 50-day average; Price is above the 200-day average.
Based on the real signals StockIQ computed: Estimated fair value: -$12.73 vs. price $4.59 (-377.3%); Net margin: -82.9% (negative); ATR: 6.3% of price.
StockIQ has no recorded dividend payment history for DGXX.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 2 purchases and 6 sales out of the last 23 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Amar Alec | Open Market Purchase | 20.8.2026 | 1,378,949 | +10,000 | $3.86 |
| Jeyapaul Jaganathan | Grant/Award from Employer | 19.8.2026 | 125,000 | +125,000 | — |
| Amar Michel | Open Market Purchase | 19.8.2026 | 1,699,885 | +20,000 | $3.60 |
| Jeyapaul Jaganathan | Grant/Award from Employer | 15.5.2026 | 25,000 | +25,000 | — |
| Jeyapaul Jaganathan | Grant/Award from Employer | 15.5.2026 | 75,000 | +75,000 | — |
| Amar Alec | Open Market Sale | 1.5.2026 | 1,368,949 | -27,500 | $3.56 |
| Amar Alec | Open Market Sale | 8.4.2026 | 1,341,449 | -25,700 | $2.26 |
| Amar Alec | Open Market Sale | 1.4.2026 | 1,367,149 | -1,800 | $2.25 |
| Jeyapaul Jaganathan | Grant/Award from Employer | 23.3.2026 | 50,000 | +50,000 | — |
| Amar Alec | Open Market Sale | 2.3.2026 | 1,368,949 | -27,500 | $2.86 |
| Rossman Adam Steven | Exercise of Derivative Securities | 9.2.2026 | 45,333 | +3,333 | — |
| Amar Michel | Exercise of Derivative Securities | 9.2.2026 | 1,679,885 | +166,666 | — |
| Rotonda Gerard | Exercise of Derivative Securities | 9.2.2026 | 16,666 | +3,333 | — |
| Amar Michel | Exercise of Derivative Securities | 9.2.2026 | 166,667 | -166,666 | — |
| Ciullo Paul Anthony | Exercise of Derivative Securities | 9.2.2026 | 101,578 | +8,333 | — |
| Amar Alec | Exercise of Derivative Securities | 9.2.2026 | 133,334 | -133,333 | — |
| Rotonda Gerard | Exercise of Derivative Securities | 9.2.2026 | 3,334 | -3,333 | — |
| Ciullo Paul Anthony | Exercise of Derivative Securities | 9.2.2026 | 8,334 | -8,333 | — |
| Rossman Adam Steven | Exercise of Derivative Securities | 9.2.2026 | 3,334 | -3,333 | — |
| Amar Alec | Exercise of Derivative Securities | 9.2.2026 | 1,396,449 | +133,333 | — |
| Amar Alec | Open Market Sale | 2.2.2026 | 1,263,116 | -27,500 | $2.53 |
| Rotonda Gerard | Grant/Award from Employer | 30.1.2026 | 100,000 | +100,000 | — |
| Amar Alec | Open Market Sale | 2.1.2026 | 1,290,616 | -27,500 | $2.72 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
5,622,893 shares short as of 2026-09-15 · vs. 5,779,025 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
56.9% of trading volume this week was short selling, vs. 41.1% 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