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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Real Estate · ·
$1,021.34
▼ $4.60 (-0.4%)
Market data updated: 09/19 04:24 PM
Fundamentals updated: 09/19/2026
News analyzed: 09/19/2026
Market Cap
$100.78B
Day Range
$1,014.35 - $1,030.42
52-Week Range
$720.62 - $1,128.68
Beta
—
Next Earnings
27.10.2026
Support
$987.79
Resistance
$1,109.22
EQIX is a stock from the Real Estate sector — REITs and real-estate companies — highly sensitive to interest rates and property prices.
+30.8% (1Y)
Strengths: 9/28 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
🔴 Bearish
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: 61.9%
Growth
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: 0.40 (3y annualized return 10.5% / max drawdown 26.3%)
Risk
Signal tension
Growth scores strong (68/100), but fair-value analysis scores this stock as relatively expensive (45/100) — the growth story and the current price aren't fully aligned.
What to watch next
When today echoes the past.
83/100
Similarity
15
Historical Matches
92/100
Analog Quality
-0.7%
Median 40D Outcome
74/100
Pattern Consistency
🟢 Bullish
60%
+3.4% … +6.3%
🟡 Base
13%
+0.3% … +0.5%
🔴 Bearish
27%
-6.6% … -2.3%
Typical timeframe (based on real historical rates clearing a 60% bar): 20 trading days.
📌 Bottom line: Out of 15 similar historical cases for this stock, 60% (95% CI 36%–80%) saw the stock rise within 20 trading days, with a median gain of +2.8%.
Echo #1 — Trend Acceleration
4 occurrence(s) · 75% 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 | 47% (25%–70%) | +0.6% | -0.2% … +3.4% | +0.3% |
| 10D | 47% (25%–70%) | +0.7% | -0.8% … +3.8% | +0.6% |
| 20D | 60% (36%–80%) | +2.8% | -1.0% … +4.7% | +1.6% |
| 40D | 47% (25%–70%) | -0.7% | -7.9% … +9.2% | +2.2% |
| 60D | 47% (25%–70%) | -1.8% | -7.2% … +8.6% | +2.5% |
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 |
|---|---|---|---|---|
| 2018-02-02 | 83/100 | Downtrend | -11.2% | -3.3% |
| 2017-12-27 | 83/100 | Consolidation | -2.2% | -9.3% |
| 2020-09-25 | 82/100 | ✓ Consolidation | +3.4% | -6.2% |
| 2019-11-25 | 82/100 | Consolidation | +3.5% | +16.4% |
| 2023-08-22 | 82/100 | ✓ Consolidation | +0.6% | +3.7% |
| 2023-03-14 | 81/100 | ✓ Consolidation | +2.8% | +8.5% |
| 2019-12-13 | 81/100 | Consolidation | +6.3% | +2.4% |
| 2023-04-18 | 81/100 | Consolidation | +1.5% | +14.2% |
| 2021-11-26 | 80/100 | Consolidation | +5.2% | -15.1% |
| 2023-05-03 | 79/100 | Consolidation | +8.0% | +16.1% |
| 2020-09-11 | 78/100 | ✓ Consolidation | +10.9% | -6.7% |
| 2021-12-14 | 78/100 | Consolidation | -5.1% | -13.9% |
| 2026-06-09 | 77/100 | Consolidation | -2.4% | -1.8% |
| 2025-01-29 | 77/100 | ✓ Consolidation | +0.2% | -7.7% |
| 2023-10-09 | 77/100 | ✓ Consolidation | +4.1% | +8.7% |
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 XLRE (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
53
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
68
Quality
63
Value
45
Momentum
31
Risk
48
Sentiment
68
Fundamental
62
Institutional
0
Stocks with a similar DNA right now
SCANNING EQIX...
Recent media coverage of Equinix highlights its aggressive expansion into AI-focused infrastructure, including a strengthened partnership with Nvidia and the launch of **Fabric One**, a managed connectivity service for AI and cloud environments. The company also acquired **atNorth** to bolster its Nordic data center footprint and collaborated with **Diraq** to deploy a quantum computer in its data centers, marking a first in hybrid quantum-AI infrastructure. Analysts debate its high valuation amid strong long-term growth, noting a 43.1% gain over three years, while its stock continues outperforming broader market indices like the Dow.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Equinix. News trend score: 68. Reason: 9 of the last 20 articles are positive, versus 6 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
7
🎯 Conviction (vs. Emotion)
42
Psychology
23
Fundamentals
62
Technical
31
Valuation
45
The price is holding at a real, documented historical support/resistance level (a 50-day high or low).
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
51
Fundamental Reality
42
Narrative Gap
+9
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
EQIX’s psychology is dominated by **anchoring**, as traders appear fixated on the 3.8% distance from support despite neutral momentum and extreme positive sentiment. The **euphoria** score (19) reflects optimism misaligned with technical weakness, while **FOMO** (10) is dampened by lack of volume or volatility spikes. The **narrative gap** (18) hints at a disconnect between bullish headlines and price action. The key question: *Will traders hold the anchor or pivot if support breaks?*
Updated: 09/09/2026, 04:57 AM
What could change this?
👥 What the crowd believes
"Equinix is strengthening its AI infrastructure push through an expanded partnership with Nvidia."
"Diraq deployed a quantum computer in an Equinix data center, creating an industry first by integrating quantum, AI, and classical computing infrastructure."
"Equinix has delivered a 43.1% gain over the past 3 years, yet its valuation checks are mixed."
"Hyperscalers are signing multi-year leases at a pace that is rewriting the income playbook."
📈 14D 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
Charles Mackay — 81/100
🔴 Weakest match
Benjamin Graham (Enterprising Investor) — 16/100
🗣️ Why do they disagree?
The methodologies for EQIX split sharply between bullish and cautious camps, reflecting starkly different priorities. Samuel Armstrong Nelson, Edgar Lawrence Smith, and Charles Mackay all score high (80, 75, and 74 respectively), emphasizing favorable cyclical positioning, long-term potential, and the absence of speculative mania—suggesting a buy-and-hold opportunity. Conversely, Benjamin Graham’s strict valuation framework and Jesse Livermore’s trend-following rules deliver the lowest scores (13 and 16), flagging the stock as overvalued or out of alignment with market momentum. In the middle, Peter Lynch and Howard Marks acknowledge growth but temper enthusiasm with concerns about overpricing or inflated expectations, while efficient-market theorists like Malkiel and Bogle dismiss the stock as unexceptional compared to passive indexing. The divide underscores whether EQIX’s fundamentals justify active selection (for cyclical or qualitative investors) or if it’s better left to broader market forces.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 81
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 75
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
Morgan Housel
The Psychology of Money (2020)
🟢 70
The kind of quiet compounder a patient holder could actually stick with
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 68
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 62
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)
🟡 61
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 58
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 56
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟡 54
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 54
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 50
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
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
Jack Schwager
Market Wizards (1989)
🟡 42
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 39
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🔴 24
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🔴 16
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
Based on the last 300 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (1 bullish · 6 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 trading range, but the picture isn't yet clear enough on the likely direction.
Low confidence
$987.79
Range Bottom
$1,109.22
Range Top
50
Trading Days in Range
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
51.1%
Operating Margin
20.0%
Net Margin
14.6%
EBITDA Margin
42.3%
ROE
9.5%
ROA
3.4%
ROIC
—
EPS
$13.79
Cash
$1.73B
Total Debt
$1.30B
Current Ratio
1.32
Debt/Equity
0.09
אין נתונים היסטוריים זמינים.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 19.8.2026 | $5.160 |
| 20.5.2026 | $5.160 |
| 19.5.2026 | $5.160 |
| 25.2.2026 | $5.160 |
| 24.2.2026 | $5.160 |
| 19.11.2025 | $4.690 |
| 18.11.2025 | $4.690 |
| 20.8.2025 | $4.690 |
| 19.8.2025 | $4.690 |
| 21.5.2025 | $4.690 |
| 20.5.2025 | $4.690 |
| 26.2.2025 | $4.690 |
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$144.27
Tangible Book Value per Share (Tangible NAV)
$69.87
Sentiment based on basic keywords (not AI) — 9 positive, 5 neutral, 6 negative out of the last 20 articles.
Yahoo · 19.9.2026
Yahoo · 18.9.2026
SeekingAlpha · 18.9.2026
Yahoo · 17.9.2026
SeekingAlpha · 17.9.2026
SeekingAlpha · 16.9.2026
SeekingAlpha · 16.9.2026
SeekingAlpha · 15.9.2026
Yahoo · 15.9.2026
Benzinga · 15.9.2026
Yahoo · 15.9.2026
Insider Monkey · 15.9.2026
CNBC · 15.9.2026
Simply Wall St. · 15.9.2026
Yahoo · 15.9.2026
GuruFocus.com · 14.9.2026
Yahoo · 14.9.2026
SeekingAlpha · 14.9.2026
SeekingAlpha · 14.9.2026
24/7 Wall St. · 14.9.2026
Equinix (EQIX) currently has a StockIQ AI score of 53/100, 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.
EQIX currently scores 53/100 (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.
EQIX's technical score is 31/100, 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: Earnings per share (EPS) growth: 61.9%; Net income growth: 65.6%; Operating margin is stable or improving over time.
Based on the real signals StockIQ computed: Calmar: 0.40 (3y annualized return 10.5% / max drawdown 26.3%); Price is below the 50-day average; MACD histogram is negative — falling momentum.
Yes — EQIX 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 23 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Paladin Michael Shane | Open Market Sale | 4.9.2026 | 307 | -307 | $1,035.01 |
| Paladin Michael Shane | Open Market Sale | 2.9.2026 | 150 | -150 | $1,018.43 |
| Paladin Michael Shane | Open Market Sale | 2.9.2026 | 53 | -53 | $1,008.02 |
| Paladin Michael Shane | Exercise of Derivative Securities | 1.9.2026 | 510 | -510 | — |
| Paladin Michael Shane | Exercise of Derivative Securities | 1.9.2026 | 510 | +510 | — |
| Pletcher Kurt | Open Market Sale | 20.8.2026 | 135 | -135 | $1,075.50 |
| PAISLEY CHRISTOPHER B | Open Market Sale | 18.8.2026 | 125 | -125 | $1,103.58 |
| PAISLEY CHRISTOPHER B | Open Market Sale | 3.8.2026 | 4,000 | -4,000 | $1,019.28 |
| PAISLEY CHRISTOPHER B | Open Market Sale | 3.8.2026 | 13,859 | -4,000 | $1,019.28 |
| MORANDI BRANDI GALVIN | Open Market Sale | 8.6.2026 | 3,726 | -3,726 | $1,076.36 |
| MORANDI BRANDI GALVIN | Open Market Sale | 8.6.2026 | 6,132 | -3,726 | $1,076.36 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 295 | -295 | $1,060.99 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 400 | -400 | $1,057.59 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 600 | -600 | $1,061.53 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 800 | -800 | $1,054.37 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 285 | -285 | $1,055.25 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 120 | -120 | $1,053.45 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 315 | -315 | $1,056.33 |
| Fox-Martin Adaire | Open Market Sale | 2.6.2026 | 120 | -120 | $1,052.25 |
| Abdel Raouf | Open Market Sale | 2.6.2026 | 13 | -13 | $1,063.23 |
| Abdel Raouf | Open Market Sale | 2.6.2026 | 0.5 | -0.5 | $1,070.47 |
| Abdel Raouf | Open Market Sale | 2.6.2026 | 13 | -13 | $1,058.96 |
| Lin Jonathan | Open Market Sale | 2.6.2026 | 13 | -13 | $1,058.96 |
| Lin Jonathan | Open Market Sale | 2.6.2026 | 11 | -11 | $1,062.16 |
| Lin Jonathan | Open Market Sale | 2.6.2026 | 29 | -29 | $1,069.20 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
1,646,357 shares short as of 2026-08-31 · vs. 1,905,105 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
59.0% of trading volume this week was short selling, vs. 55.4% 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