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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Communication Services · ·
$344.41
▲ $0.73 (+0.2%)
Market data updated: 09/20 11:58 AM
Fundamentals updated: 09/20/2026
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
$343.87 - $355.13
52-Week Range
$236.69 - $404.47
Beta
—
Next Earnings
27.10.2026
Support
$314.89
Resistance
$381.81
GOOG is a stock from the Communication Services sector — Telecom, media, and internet/social platforms — revenue from advertising and subscriptions.
+36.5% (1Y)
Strengths: 22/32 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
🟢 Bullish
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Earnings per share (EPS) growth
Earnings per share (EPS) growth: 34.5%
Growth
Biggest negative driver
DCF Fair Value
Estimated fair value: $116.65 vs. price $344.41 (-66.1%)
Fair Value
Signal tension
Growth scores strong (73/100), but fair-value analysis scores this stock as relatively expensive (38/100) — the growth story and the current price aren't fully aligned.
What to watch next
When today echoes the past.
80/100
Similarity
15
Historical Matches
91/100
Analog Quality
+12.1%
Median 40D Outcome
59/100
Pattern Consistency
🟢 Bullish
87%
+3.3% … +9.4%
🟡 Base
7%
+0.6% … +0.6%
🔴 Bearish
7%
-4.4% … -4.4%
Typical timeframe (based on real historical rates clearing a 60% bar): 10 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 87% (95% CI 62%–96%) saw the stock rise within 20 trading days, with a median gain of +5.2%.
Echo #1 — Momentum Breakout
1 occurrence(s) · 100% historical success
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 | 53% (30%–75%) | +1.4% | -2.9% … +3.0% | +0.6% |
| 10D | 67% (42%–85%) | +1.5% | +0.2% … +7.9% | +1.1% |
| 20D | 87% (62%–96%) | +5.2% | +2.6% … +8.7% | +2.4% |
| 40D | 100% (80%–100%) | +12.1% | +8.1% … +17.8% | +5.0% |
| 60D | 93% (70%–99%) | +15.2% | +10.0% … +18.2% | +6.8% |
Sample size: 15 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 |
|---|---|---|---|---|
| 2018-11-30 | 80/100 | ✓ Consolidation | -4.4% | +4.3% |
| 2025-07-03 | 80/100 | Uptrend | +5.2% | +35.3% |
| 2019-07-08 | 80/100 | Consolidation | +3.2% | +8.0% |
| 2017-09-07 | 80/100 | ✓ Consolidation | +3.6% | +7.9% |
| 2018-05-08 | 79/100 | ✓ Consolidation | +7.9% | +16.3% |
| 2024-09-24 | 79/100 | Consolidation | +1.9% | +16.2% |
| 2024-10-28 | 79/100 | Uptrend | +0.6% | +15.1% |
| 2025-06-12 | 79/100 | Uptrend | +3.3% | +35.6% |
| 2023-05-02 | 78/100 | Uptrend | +16.4% | +25.5% |
| 2019-03-07 | 78/100 | ✓ Consolidation | +6.3% | -9.4% |
| 2018-04-23 | 78/100 | ✓ Consolidation | +1.1% | +12.0% |
| 2024-10-14 | 77/100 | Uptrend | +9.4% | +16.1% |
| 2020-10-09 | 77/100 | Consolidation | +16.3% | +14.5% |
| 2026-03-17 | 77/100 | ✓ Consolidation | +8.1% | +15.2% |
| 2026-04-02 | 74/100 | Consolidation | +30.1% | +20.0% |
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. Relative strength is measured against SPY and against XLC (this stock's sector).
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
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.
today · $344.41
Evidence: FOMO score jumped from 4 to 29 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of September 16, 2026
Then
70
$341.43
Now
71
$344.41
What happened since
Signals detected by this date
No signals detected by this date
🧬 STOCK DNA
This stock's profile across 8 real dimensions — a research tool, not a recommendation
Growth
73
Quality
63
Value
38
Momentum
77
Risk
62
Sentiment
86
Fundamental
83
Institutional
0
Stocks with a similar DNA right now
SCANNING GOOG...
Recent coverage of Alphabet focuses on its mixed stock performance—down about 4.5% while peers like Microsoft surged—and ongoing growth in Google Cloud and its Gemini AI, which analysts say remain strong despite a broader AI‑spending slowdown. A recent federal antitrust ruling on Google’s advertising practices lifted the stock slightly, and commentators note the company’s valuation is low relative to its growth prospects.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Alphabet Inc. (Class C). News trend score: 86. Reason: 9 of the last 20 articles are positive, versus 3 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
29
🎯 Conviction (vs. Emotion)
42
Psychology
50
Fundamentals
83
Technical
77
Valuation
38
The price rise has far outpaced the actual improvement in fundamental data.
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
Price (3M)
-6%
Market Narrative
75
Fundamental Reality
42
Narrative Gap
+33
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant **Overconfidence** (45) stems from a disconnect between weak technical momentum and strong fundamental growth, paired with extreme valuation (+188% above DCF). The **Euphoria** (35) score reflects persistent optimism despite price retracing below its 200-day average. The **narrative gap** (30) suggests traders prioritize positive sentiment (72) over lagging price action (42). Key question: Will traders adjust expectations as momentum diverges further from fundamentals?
Updated: 09/09/2026, 12:49 PM
What could change this?
👥 What the crowd believes
"Google unveils 13 bn euro AI expansion in Finland (article 1)"
"Google to invest €13bn in Finnish AI data centres, its biggest European push yet (article 4)"
"Google Has a Cool $15 Billion Fix to the AI Energy Problem (article 2)"
"Nordic Energy Company Fortum Shares Jump on Google Nuclear Power Agreement (article 8)"
🧠 Market Brain events driving this
📈 20D 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
Edgar Lawrence Smith — 88/100
🔴 Weakest match
Benjamin Graham — 25/100
🗣️ Why do they disagree?
Based on the documented principles of the high‑scoring proponents such as Edgar Lawrence Smith (88), Peter Lynch (81) and Walter Bagehot (81), the model estimates that GOOG aligns well with their long‑term growth, buy‑and‑hold and liquidity criteria. Mid‑range scores from investors like Gerald Loeb (73), Thorstein Veblen (71) and Howard Marks (45‑49) reflect a more mixed view, acknowledging solid fundamentals but also noting cycle positioning or elevated expectations. The lower scores from value‑oriented frameworks—Benjamin Graham (25‑31), Jesse Livermore (26) and Jack Schwager (35)—lead the model to estimate that GOOG fails key defensive, trend‑following or statistical cheapness tests. Consequently, the debate emerges because methodologies that prioritize growth and cash‑flow durability tend toward a favorable outlook, while those centered on strict valuation or trend discipline deem the stock less compelling.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 88
Looks like a real 'buy and hold for a decade' candidate
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 81
Growth candidate — the price hasn't caught up to the growth
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟢 81
Strong liquidity — would likely survive a real credit squeeze
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟢 73
Reasonable capital-preservation profile
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟢 71
Growth appears aligned with real value creation
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 61
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 58
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 55
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 54
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)
🟡 46
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
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 45
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)
🟡 42
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)
🔴 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
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 31
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?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 29
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 25
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
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 (8 bullish · 1 bearish · 3 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.
Gross Margin
59.7%
Operating Margin
32.0%
Net Margin
32.8%
EBITDA Margin
—
ROE
31.8%
ROA
22.2%
ROIC
—
EPS
$10.91
Cash
$30.71B
Total Debt
$48.54B
Current Ratio
2.01
Debt/Equity
0.12
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 4.9.2026 | $0.220 |
| 8.6.2026 | $0.220 |
| 7.6.2026 | $0.220 |
| 9.3.2026 | $0.210 |
| 8.3.2026 | $0.210 |
| 8.12.2025 | $0.210 |
| 7.12.2025 | $0.210 |
| 8.9.2025 | $0.210 |
| 7.9.2025 | $0.210 |
| 9.6.2025 | $0.210 |
| 8.6.2025 | $0.210 |
| 10.3.2025 | $0.200 |
How is Fair Value calculated? →
Current Price
$344.41
Estimated Fair Value (DCF)
$116.65
Model estimate — not a price target. Highly sensitive to growth/discount-rate assumptions.
Gap
-66.1%
🔴 Appears expensive relative to estimated value
Year 1 Growth Rate
12.5%
Discount Rate (WACC)
9.0%
Terminal Growth Rate
2.5%
Projection Years
5
| Year | Growth Rate | Projected FCF | Present Value |
|---|---|---|---|
| 1 | 12.5% | $82.46B | $75.65B |
| 2 | 10.0% | $90.73B | $76.37B |
| 3 | 7.5% | $97.56B | $75.33B |
| 4 | 5.0% | $102.45B | $72.58B |
| 5 | 2.5% | $105.01B | $68.25B |
Base FCF (last actual year)
$73.27B
Terminal Value
$1.66T
Present Value of Terminal Value
$1.08T
Enterprise Value
$1.44T
Net Debt
$17.84B
Equity Value
$1.43T
*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
$34.35
Tangible Book Value per Share (Tangible NAV)
$19.77
Sentiment based on basic keywords (not AI) — 9 positive, 8 neutral, 3 negative out of the last 20 articles.
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Alphabet Inc. (Class C) (GOOG) currently has a StockIQ AI score of 71/100, rated "Strong". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
GOOG currently scores 71/100 (Strong) 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, GOOG's estimated fair value is $116.65, which is 66.1% below the current price of $344.41. This is one valuation model among several signals in the fair-value category, not a price target.
GOOG's technical score is 77/100, 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: Earnings per share (EPS) growth: 34.5%; Net income growth: 32.0%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: Estimated fair value: $116.65 vs. price $344.41 (-66.1%); -8.3% over the last 3 months relative to the index.
Yes — GOOG 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 1 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| CHAVEZ R. MARTIN | Gift | 1.9.2026 | 1,181 | -1,181 | — |
| Schindler Philipp | Gift | 1.9.2026 | 295 | -295 | — |
| ARNOLD FRANCES | Open Market Sale | 28.8.2026 | 82 | -82 | $337.71 |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 488 | +488 | — |
| Saraci Marsida | Tax Withholding in Shares | 25.8.2026 | 20 | -20 | $344.59 |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 69 | -69 | — |
| Saraci Marsida | Tax Withholding in Shares | 25.8.2026 | 27 | -27 | $344.59 |
| Schindler Philipp | Tax Withholding in Shares | 25.8.2026 | 2,015 | -2,015 | $344.59 |
| Saraci Marsida | Tax Withholding in Shares | 25.8.2026 | 69 | -69 | $344.59 |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 19 | -19 | — |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 26 | -26 | — |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 19 | -19 | — |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 106 | -106 | — |
| Saraci Marsida | Tax Withholding in Shares | 25.8.2026 | 20 | -20 | $344.59 |
| Saraci Marsida | Tax Withholding in Shares | 25.8.2026 | 27 | -27 | $344.59 |
| Schindler Philipp | Conversion of Derivative Security | 25.8.2026 | 1,996 | -1,996 | — |
| Saraci Marsida | Tax Withholding in Shares | 25.8.2026 | 107 | -107 | $344.59 |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 27 | -27 | — |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 101 | -101 | — |
| Saraci Marsida | Conversion of Derivative Security | 25.8.2026 | 121 | -121 | — |
| Pichai Sundar | Conversion of Derivative Security | 25.8.2026 | 3,669 | +3,669 | — |
| Porat Ruth | Conversion of Derivative Security | 25.8.2026 | 1,624 | -1,624 | — |
| Schindler Philipp | Conversion of Derivative Security | 25.8.2026 | 1,996 | +1,996 | — |
| Ashkenazi Anat | Tax Withholding in Shares | 25.8.2026 | 1,781 | -1,781 | $344.59 |
| WALKER JOHN KENT | Conversion of Derivative Security | 25.8.2026 | 1,624 | -1,624 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
45,274,909 shares short as of 2026-08-31 · vs. 46,940,256 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
36.7% of trading volume this week was short selling, vs. 39.3% 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