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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$2.99
▲ $0.02 (+0.7%)
Market data updated: 09/19 02:38 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$19.20M
Day Range
$2.99 - $3.06
52-Week Range
$1.51 - $6.21
Beta
—
Next Earnings
17.11.2026
Support
$1.52
Resistance
$3.45
AIFA is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-50.7% (1Y)
Strengths: 9/27 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
🟢 Bullish
Insiders
🟢 Bullish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Operating margin stability
Operating margin is stable or improving over time
Quality
Biggest negative driver
DCF Fair Value
Estimated fair value: -$4.57 vs. price $2.99 (-252.7%)
Fair Value
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
45
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
58
Value
38
Momentum
65
Risk
40
Sentiment
62
Fundamental
25
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.
Everyone's writing about All In FutureTech Alliance, Inc.. News trend score: 62. Reason: 2 of the last 7 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
23
🎯 Conviction (vs. Emotion)
29
Psychology
35
Fundamentals
25
Technical
65
Valuation
38
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price, sentiment, and valuation keep confirming each other upward while the actual fundamentals deteriorate.
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.
Price (3M)
+24%
Market Narrative
50
Fundamental Reality
29
Narrative Gap
+21
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
📈 3D 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
Charles Mackay — 62/100
🔴 Weakest match
Morgan Housel — 10/100
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 62
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)
🟡 57
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 57
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 52
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 (Market Cycle)
Mastering the Market Cycle (2018)
🟡 50
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
Jack Schwager
Market Wizards (1989)
🟡 46
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 42
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
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 39
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
Walter Bagehot
Lombard Street (1873)
🔴 34
Liquidity position Bagehot would flag as a real risk
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 33
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 30
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 29
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🔴 21
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)
🔴 20
Doesn't clear Lynch's growth-at-a-reasonable-price bar
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 16
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 35%
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 10
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 283 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (6 bullish · 3 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
—
Operating Margin
-489.7%
Net Margin
-411.1%
EBITDA Margin
-470.2%
ROE
-94.3%
ROA
-36.5%
ROIC
—
EPS
-$0.83
Cash
$11.84M
Total Debt
—
Current Ratio
1.55
Debt/Equity
—
How is Fair Value calculated? →
Current Price
$2.99
Estimated Fair Value (DCF)
-$4.57
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-252.7%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
9.0%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 9.0% | $-10.79M | $-9.90M |
| 2 | 7.4% | $-11.59M | $-9.75M |
| 3 | 5.7% | $-12.25M | $-9.46M |
| 4 | 4.1% | $-12.76M | $-9.04M |
| 5 | 2.5% | $-13.08M | $-8.50M |
Base FCF (last actual year)
$-9.90M
Terminal Value
$-206.23M
Present Value of Terminal Value
$-134.04M
Enterprise Value
$-180.69M
Net Debt
$0
Equity Value
$-180.69M
*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
$0.88
Tangible Book Value per Share (Tangible NAV)
$0.77
Sentiment based on basic keywords (not AI) — 2 positive, 5 neutral, 0 negative out of the last 7 articles.
Associated Press · 14.8.2026
Benzinga · 15.7.2026
GlobeNewswire · 14.7.2026
GlobeNewswire · 9.7.2026
GlobeNewswire · 25.6.2026
GlobeNewswire · 18.6.2026
GlobeNewswire · 17.6.2026
All In FutureTech Alliance, Inc. (AIFA) currently has a StockIQ AI score of 45/100, 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.
AIFA currently scores 45/100 (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, AIFA's estimated fair value is -$4.57, which is 252.7% below the current price of $2.99. This is one valuation model among several signals in the fair-value category, not a price target.
AIFA's technical score is 65/100, 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: Operating margin is stable or improving over time; Current ratio: 1.55; Price is above the 50-day average.
Based on the real signals StockIQ computed: Estimated fair value: -$4.57 vs. price $2.99 (-252.7%); Operating margin: -489.7% (negative); Net margin: -411.1% (negative).
StockIQ has no recorded dividend payment history for AIFA.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 8 purchases and 0 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| ANDERSON ROY LAWRENCE | Tax Withholding in Shares | 23.9.2025 | 2,228 | -2,228 | $1.19 |
| Choi Roy | Gift | 29.8.2025 | 150,000 | -150,000 | — |
| Choi Roy | Gift | 29.8.2025 | 645,000 | -645,000 | — |
| Choi Roy | Gift | 29.8.2025 | 200,000 | -200,000 | — |
| Choi Roy | Gift | 29.8.2025 | 701,648 | -701,648 | — |
| Choi Roy | Gift | 29.8.2025 | 3,800,000 | -3,800,000 | — |
| Choi Roy | Gift | 29.8.2025 | 668,848 | -668,848 | — |
| Choi Roy | Gift | 29.8.2025 | 579,622 | -579,622 | — |
| Choi Roy | Gift | 28.8.2025 | 1,600,000 | -1,600,000 | — |
| Chen Yinghua | Tax Withholding in Shares | 22.2.2025 | 81,799 | -81,799 | $1.03 |
| ANDERSON ROY LAWRENCE | Tax Withholding in Shares | 22.2.2025 | 2,595 | -2,595 | $1.03 |
| ANDERSON ROY LAWRENCE | Tax Withholding in Shares | 30.8.2024 | 2,199 | -2,199 | $1.20 |
| Chen Yinghua | Tax Withholding in Shares | 30.8.2024 | 74,876 | -74,876 | $1.20 |
| Choi Roy | Open Market Purchase | 10.7.2024 | 68,331 | +68,331 | $1.49 |
| Choi Roy | Open Market Purchase | 9.7.2024 | 140,000 | +140,000 | $1.47 |
| Choi Roy | Open Market Purchase | 3.7.2024 | 45,000 | +45,000 | $1.26 |
| Choi Roy | Open Market Purchase | 2.7.2024 | 235,000 | +235,000 | $1.27 |
| Choi Roy | Open Market Purchase | 1.7.2024 | 80,000 | +80,000 | $1.27 |
| Choi Roy | Open Market Purchase | 28.6.2024 | 49,990 | +49,990 | $1.27 |
| Choi Roy | Open Market Purchase | 27.6.2024 | 258,010 | +258,010 | $1.27 |
| Choi Roy | Open Market Purchase | 26.6.2024 | 300,000 | +300,000 | $1.29 |
| GUO YUSHI | Grant/Award from Employer | 22.2.2024 | 30,000 | +30,000 | — |
| QIN GUANZHOU | Grant/Award from Employer | 22.2.2024 | 30,000 | +30,000 | — |
| LI Yangyang | Grant/Award from Employer | 22.2.2024 | 30,000 | +30,000 | — |
| ANDERSON ROY LAWRENCE | Tax Withholding in Shares | 22.2.2024 | 2,597 | -2,597 | $1.04 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
247,938 shares short as of 2026-08-31 · vs. 164,882 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
39.9% of trading volume this week was short selling, vs. 37.6% 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