Loading data...
Loading data...
Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Information Technology · ·
$199.39
▼ $0.14 (-0.1%)
Market data updated: 09/20 10:03 AM
Fundamentals updated: 09/19/2026
News analyzed: 09/20/2026
Market Cap
$251.48B
Day Range
$196.89 - $202.58
52-Week Range
$114.52 - $214.89
Beta
—
Next Earnings
02.11.2026
Support
$156.84
Resistance
$214.89
ANET is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
+36.0% (1Y)
Strengths: 23/30 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
Revenue growth (last year)
Revenue growth (last year): 28.6%
Growth
Biggest negative driver
Daily volatility (ATR)
ATR: 4.2% of price
Risk
Signal tension
Growth scores strong (74/100), 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
91/100
Analog Quality
-2.0%
Median 40D Outcome
49/100
Pattern Consistency
🟢 Bullish
60%
+5.7% … +10.2%
🟡 Base
27%
+0.2% … +0.8%
🔴 Bearish
13%
-15.7% … -13.7%
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 +5.2%.
Echo #1 — Trend Acceleration
15 occurrence(s) · 60% 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%) | -0.8% | -5.4% … +3.4% | +0.9% |
| 10D | 47% (25%–70%) | -0.2% | -11.4% … +5.9% | +1.8% |
| 20D | 60% (36%–80%) | +5.2% | +0.5% … +9.4% | +3.4% |
| 40D | 47% (25%–70%) | -2.0% | -9.2% … +15.1% | +7.3% |
| 60D | 47% (25%–70%) | +1.0% | -11.6% … +16.8% | +8.2% |
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 |
|---|---|---|---|---|
| 2017-09-26 | 83/100 | ✓ Uptrend | +5.7% | +28.2% |
| 2018-02-09 | 80/100 | ✓ Uptrend | +9.1% | -4.9% |
| 2025-09-22 | 79/100 | Uptrend | +0.7% | -13.3% |
| 2025-11-04 | 78/100 | Uptrend | -16.8% | -9.9% |
| 2024-12-19 | 78/100 | ✓ Uptrend | +19.0% | -23.9% |
| 2025-10-10 | 77/100 | ✓ Uptrend | -12.6% | -15.6% |
| 2021-12-16 | 77/100 | Uptrend | -0.3% | -6.9% |
| 2024-10-15 | 77/100 | Uptrend | +0.8% | +14.8% |
| 2023-08-09 | 77/100 | High Volatility | +10.2% | +19.3% |
| 2023-02-21 | 77/100 | ✓ Uptrend | +24.9% | +1.0% |
| 2026-06-16 | 77/100 | Uptrend | +0.3% | +18.8% |
| 2023-10-12 | 76/100 | ✓ Uptrend | +9.7% | +27.0% |
| 2025-01-10 | 76/100 | ✓ Uptrend | +5.2% | -39.2% |
| 2024-08-22 | 75/100 | Uptrend | +9.2% | +6.3% |
| 2026-05-05 | 74/100 | Uptrend | +2.4% | +6.0% |
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 XLK (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
75
Today
64
30D
—
90D
—
1Y
🔎 What Changed (vs. 30 days ago)
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
2d ago · $199.53
Evidence: FOMO score jumped from 12 to 37 day-over-day
What happened after
Still awaiting outcome
29d ago · $188.65
Evidence: 4 bullish / 7 bearish technical signals agreeing
What happened after
31d ago · $187.03
Evidence: 6 bullish / 4 bearish technical signals agreeing
What happened after
32d ago · $193.04
Evidence: -3.6pp vs. sector average today
What happened after
32d ago · $193.04
Evidence: 9 bullish / 2 bearish technical signals agreeing
What happened after
🐂🐻 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 August 18, 2026
Then
73
$191.92
Now
75
$199.39
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
74
Quality
63
Value
45
Momentum
87
Risk
54
Sentiment
100
Fundamental
83
Institutional
0
Stocks with a similar DNA right now
SCANNING ANET...
Recent media coverage of Arista Networks has focused on its strong growth potential and its alignment with the expanding AI infrastructure sector. Multiple sources, including Yahoo Finance and Zacks, highlighted ANET as a compelling buy for growth investors, emphasizing its role in enabling AI adoption across businesses. Additionally, its inclusion in AI-focused ETF shifts—such as the S&P 100 ETF’s replacement of traditional stocks like Nike with AI infrastructure plays—underscored its rising prominence in tech-driven market trends.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Arista Networks. News trend score: 100. Reason: 12 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
39
🎯 Conviction (vs. Emotion)
42
Psychology
44
Fundamentals
83
Technical
87
Valuation
45
Extreme momentum, price far above its moving average, and a large premium over fair value.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
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.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
Price (3M)
+18%
Market Narrative
70
Fundamental Reality
42
Narrative Gap
+28
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The market behavior for ANET suggests a dominant narrative-reality disconnect, with euphoria (33) and overconfidence (15) as key psychological states. The stock’s strong momentum (+6.1% ROC), 17.4% above its 200-day average, and perfect news sentiment (100/100) align with euphoric overvaluation. Overconfidence is evident as price gains outpace fundamental EPS growth (+6.1% vs. +0.2%), signaling traders may be ignoring fundamentals. The narrative gap (30) hints at a potential mispricing, but the open question remains: *Will sentiment sustain momentum, or will fundamentals reassert themselves?*
Updated: 09/08/2026, 10:17 PM
What could change this?
👥 What the crowd believes
"Five companies sit at the exact bottlenecks where that buildout cannot proceed without them."
"The iShares S&P 100 ETF just swapped out... for four AI infrastructure plays."
"Arista Networks (ANET) possesses solid growth attributes, which could help it handily outperform the market."
🧠 Market Brain events driving this
📈 17D 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
Walter Bagehot — 100/100
🔴 Weakest match
Samuel Armstrong Nelson — 21/100
🗣️ Why do they disagree?
The stark divide in verdicts for ANET reflects deep methodological differences in how these investors weigh risk, valuation, and growth potential. Walter Bagehot and Philip Fisher’s near-unanimous high scores highlight their focus on liquidity and long-term quality—both seeing ANET as a resilient, well-structured business. Meanwhile, the majority of methodologies, from Graham’s defensive criteria to Marks’ market-cycle caution, flag concerns about valuation, timing, or speculative risk, suggesting the stock may be overpriced or vulnerable to volatility. Even Lynch and Veblen, who acknowledge growth, question whether the market has already priced it in, while Housel’s zero score underscores a fear of short-term instability. The contrast between Fisher’s quality-driven optimism and Graham’s or Schwager’s disciplined skepticism epitomizes the tension between growth-at-any-cost and strict risk-averse frameworks.
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
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟢 93
Exceptional company quality by Fisher's standards
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 73
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 59
Moderate risk 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)
🟡 57
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟡 56
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 53
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🟡 45
Moderate — holdable, but not effortless
Key question
Could I live with this volatility long enough for compounding to actually work?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 41
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 40
Fails most of Graham's defensive criteria
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 40
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 39
Pattern consistent with a crowd delusion Mackay would flag
Key question
Am I being swept along with the crowd, or thinking for myself?
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 29
Looks late-cycle — the position Marks would treat with extra caution
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)
🔴 25
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 21
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
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 · 0 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 uptrend with no defined trading range in the period examined.
Low 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
64.1%
Operating Margin
42.8%
Net Margin
39.0%
EBITDA Margin
—
ROE
28.4%
ROA
18.1%
ROIC
—
EPS
$2.79
Cash
$1.96B
Total Debt
—
Current Ratio
3.05
Debt/Equity
0.00
אין נתונים היסטוריים זמינים.
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$9.85
Tangible Book Value per Share (Tangible NAV)
$7.87
Sentiment based on basic keywords (not AI) — 12 positive, 5 neutral, 3 negative out of the last 20 articles.
Yahoo · 19.9.2026
Yahoo · 18.9.2026
Yahoo · 18.9.2026
Zacks · 18.9.2026
Yahoo · 18.9.2026
Trefis · 18.9.2026
Benzinga · 18.9.2026
Simply Wall St. · 18.9.2026
Yahoo · 18.9.2026
ChartMill · 18.9.2026
24/7 Wall St. · 17.9.2026
Yahoo · 17.9.2026
Trefis · 17.9.2026
Yahoo · 17.9.2026
Motley Fool · 17.9.2026
Yahoo · 17.9.2026
Zacks · 17.9.2026
Yahoo · 17.9.2026
Zacks · 17.9.2026
Yahoo · 17.9.2026
Arista Networks (ANET) currently has a StockIQ AI score of 75/100, 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.
ANET currently scores 75/100 (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.
ANET's technical score is 87/100, 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: Revenue growth (last year): 28.6%; Earnings per share (EPS) growth: 23.3%; Net income growth: 23.1%.
Based on the real signals StockIQ computed: ATR: 4.2% of price; P/E: 71.7.
StockIQ has no recorded dividend payment history for ANET.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 10 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Duda Kenneth | Other Transaction | 10.9.2026 | 28,616 | -28,616 | — |
| Duda Kenneth | Other Transaction | 10.9.2026 | 28,616 | -28,616 | — |
| Duda Kenneth | Other Transaction | 10.9.2026 | 57,232 | +57,232 | — |
| Duda Kenneth | Other Transaction | 8.9.2026 | 100,000 | +100,000 | — |
| TEMPLETON MARK B | Open Market Sale | 8.9.2026 | 1,000 | -1,000 | $197.46 |
| Duda Kenneth | Other Transaction | 8.9.2026 | 100,000 | +100,000 | — |
| TEMPLETON MARK B | Open Market Sale | 8.9.2026 | 700 | -700 | $196.20 |
| Duda Kenneth | Other Transaction | 8.9.2026 | 200,000 | -200,000 | — |
| TEMPLETON MARK B | Open Market Sale | 8.9.2026 | 300 | -300 | $199.32 |
| TEMPLETON MARK B | Open Market Sale | 8.9.2026 | 1,700 | -1,700 | $198.44 |
| TEMPLETON MARK B | Open Market Sale | 8.9.2026 | 1,300 | -1,300 | $195.27 |
| Breithaupt Chantelle Yvette | Open Market Sale | 1.9.2026 | 612 | -612 | $195.77 |
| Duda Kenneth | Other Transaction | 28.8.2026 | 102,320 | +102,320 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 42,938 | -42,938 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 42,937 | -42,937 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 42,937 | -42,937 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 42,938 | -42,938 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 85,875 | +85,875 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 51,160 | -51,160 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 51,160 | -51,160 | — |
| Duda Kenneth | Other Transaction | 28.8.2026 | 85,875 | +85,875 | — |
| BECHTOLSHEIM ANDREAS | Open Market Sale | 27.8.2026 | 180,848,694 | -64,510 | $204.82 |
| BECHTOLSHEIM ANDREAS | Open Market Sale | 27.8.2026 | 180,934,056 | -73,794 | $202.71 |
| BECHTOLSHEIM ANDREAS | Open Market Sale | 27.8.2026 | 181,077,904 | -50,091 | $200.81 |
| BECHTOLSHEIM ANDREAS | Open Market Sale | 27.8.2026 | 181,007,850 | -70,054 | $201.74 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
14,510,842 shares short as of 2026-08-31 · vs. 12,815,409 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
48.4% of trading volume this week was short selling, vs. 56.1% 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