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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Utilities · ·
$10.10
▲ $0.07 (+0.7%)
Market data updated: 09/20 03:01 PM
News analyzed: 09/20/2026
Market Cap
$273.60M
Day Range
$9.92 - $10.10
52-Week Range
$6.95 - $10.86
Beta
—
Next Earnings
02.11.2026
Support
$9.02
Resistance
$10.86
AUDC is a stock from the Utilities sector — Electricity, water, and residential gas — steady demand and heavy regulation, considered a defensive, dividend-paying sector.
-0.5% (1Y)
🟡 Moderate
Strengths: 8/13 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
🟢 Bullish
Technical Trend
🟢 Bullish
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
Price vs. SMA 50
Price is above the 50-day average
Technical
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: -0.03 (3y annualized return -1.3% / max drawdown 49.4%)
Risk
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
76
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.
🕰️ StockIQ Time Machine
What did StockIQ know — and when? Pick a date from the real accumulated history.
As of August 29, 2026
Then
71
$10.04
Now
76
$10.10
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
No data available
Quality
No data available
Value
No data available
Momentum
77
Risk
42
Sentiment
92
Fundamental
No data available
Institutional
0
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.
Recent media coverage of **AudioCodes Ltd.** has centered on its strategic push into **voice AI technology**, with Q2 2026 earnings highlighting a **50%+ surge in voice AI-related revenue**. The company also announced **Microsoft Teams integration** for its Voca CIC platform, reinforcing its focus on AI-driven communication solutions. Notably, a **board member sold shares worth $327K**, raising concerns about investor sentiment amid reports of **declining cash reserves**. The company’s emphasis on AI contrasts with financial caution as it navigates market challenges.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about AudioCodes Ltd.. News trend score: 92. Reason: 8 of the last 19 articles are positive, versus 1 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)
50
Psychology
26
Fundamentals
—
Technical
77
Valuation
—
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+11%
Market Narrative
62
Fundamental Reality
50
Narrative Gap
+12
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
Market behavior suggests a blend of **FOMO-driven chasing** (momentum, volume, sentiment) and **early euphoria** (8.3% above 200-day average), but no panic or herding. The **narrative gap** (64 vs. 50) hints at overestimation of fundamentals. Key question: Will momentum sustain, or will resistance (7.0% away) cap gains? The lack of volatility (0.81x ATR) implies cautious optimism—not reckless speculation.
Updated: 09/08/2026, 04:06 PM
What could change this?
👥 What the crowd believes
"Voice AI surges over 50% as company..."
"Raises FY2026 sales outlook from $247M–$255M to $251M–$256M"
"Zehava Simon, Board Member... sold $327K worth of AudioCodes shares"
"AudioCodes Voca CIC now certified for Microsoft Teams Unify Integration"
📈 13D 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 — 55/100
🔴 Weakest match
Jack Schwager — 20/100
🗣️ Why do they disagree?
Based on the documented principles of each investor, the model estimates that Edgar Lawrence Smith’s perfect score of 100 reflects a lack of dividend and growth data, leaving his read inconclusive. The efficient‑market framework scores 61 and calls the case mixed, while Charles Mackay’s 57 points to emerging crowd excitement, showing modest optimism. Livermore (51) and the Graham, Fisher, Lynch and Bagehot readings cluster around 50, indicating neutral positions due to insufficient balance‑sheet, valuation or growth information. More risk‑focused thinkers such as Loeb (40), Howard Marks (37 and 35) and Nelson/Housel (26) flag moderate to high risk, late‑cycle or overbought conditions. At the lower end, Schwager (21) and Veblen (20) see no viable setup, interpreting the stock as either a weak trade or growth pursued for its own sake, and therefore recommend staying out.
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟢 100
Not enough dividend/growth data for a real Smith read
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
⚠️ Partial data for this stock — score is less reliable — Data availability: 25%
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 62
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)
🟡 55
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🟡 52
No clear trend — Livermore preferred to stay out of this
Key question
What is the price telling me right now?
Fact → Principle → Simulation
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 50
Not enough balance-sheet/valuation data for a real Graham read
Key question
Where is my margin of safety?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 50
Not enough fundamentals data for a real Fisher read
Key question
How exceptional is this business, really?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Peter Lynch
One Up on Wall Street (1989)
🟡 50
Not enough growth data for a real Lynch read
Key question
Is the growth worth the price?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Walter Bagehot
Lombard Street (1873)
🟡 50
Not enough balance-sheet data for a real Bagehot read
Key question
Does this company have enough liquidity to survive real stress?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟡 50
Not enough valuation data for a real Enterprising-Graham read
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 0%
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 40
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 36
Risk/valuation combination Marks would flag as a caution sign
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🔴 34
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
Morgan Housel
The Psychology of Money (2020)
🔴 27
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?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 22
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Thorstein Veblen
The Theory of Business Enterprise (1904)
🔴 20
Pattern Veblen would flag as growth pursued for its own sake
Key question
Is management building real value, or just building itself?
⚠️ Partial data for this stock — score is less reliable — Data availability: 30%
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🔴 20
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
Based on the last 280 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (8 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.
A trading range after an advance, but still without clear (volume-based) confirmation of a distribution phase.
Low confidence
$9.02
Range Bottom
$10.86
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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 19.8.2026 | $0.200 |
| 20.2.2026 | $0.200 |
| 19.2.2026 | $0.200 |
| 14.8.2025 | $0.200 |
| 13.8.2025 | $0.200 |
| 20.2.2025 | $0.180 |
| 19.2.2025 | $0.180 |
| 15.8.2024 | $0.180 |
| 14.8.2024 | $0.180 |
| 20.2.2024 | $0.180 |
| 19.2.2024 | $0.180 |
| 17.8.2023 | $0.180 |
Sentiment based on basic keywords (not AI) — 8 positive, 10 neutral, 1 negative out of the last 19 articles.
Yahoo · 6.9.2026
Insider Monkey · 6.9.2026
MT Newswires · 2.9.2026
Benzinga · 2.9.2026
PR Newswire · 17.8.2026
SeekingAlpha · 7.8.2026
Motley Fool · 5.8.2026
GuruFocus.com · 4.8.2026
Moby · 4.8.2026
MarketBeat · 4.8.2026
SeekingAlpha · 4.8.2026
Benzinga · 4.8.2026
Associated Press · 4.8.2026
Benzinga · 4.8.2026
PR Newswire · 4.8.2026
Benzinga · 3.8.2026
Benzinga · 27.7.2026
PR Newswire · 6.7.2026
Motley Fool · 9.6.2026
StockIQ doesn't currently have enough real data to compute a reliable score for AudioCodes Ltd. (AUDC) — only 3 of 7 categories are available right now. Rather than show a misleading number, this page shows which data is missing instead.
StockIQ doesn't give buy/sell recommendations — and for AUDC specifically, there currently isn't enough real data (only 3 of 7 categories available) to state even a factual score reliably. Check back once more data is available.
AUDC'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: Price is above the 50-day average; Price is above the 200-day average; MACD histogram is positive — rising momentum.
Based on the real signals StockIQ computed: Calmar: -0.03 (3y annualized return -1.3% / max drawdown 49.4%); Price is below the SAR point — downtrend; %K 82.4 — overbought.
Yes — AUDC 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 18 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| ADLERSBERG SHABTAI | Grant/Award from Employer | 14.9.2026 | 80,000 | +80,000 | — |
| Simon Zehava | Grant/Award from Employer | 9.9.2026 | 10,000 | +10,000 | — |
| Tenne Joseph | Grant/Award from Employer | 9.9.2026 | 10,000 | +10,000 | — |
| Makov Itay | Grant/Award from Employer | 9.9.2026 | 10,000 | +10,000 | — |
| STERN STANLEY | Grant/Award from Employer | 9.9.2026 | 10,000 | +10,000 | — |
| NEVO DORON | Grant/Award from Employer | 9.9.2026 | 10,000 | +10,000 | — |
| Birenbaum Shira | Grant/Award from Employer | 9.9.2026 | 10,000 | +10,000 | — |
| Simon Zehava | Open Market Sale | 1.9.2026 | 27,000 | -27,000 | $9.91 |
| Simon Zehava | Open Market Sale | 31.8.2026 | 6,000 | -6,000 | $10.03 |
| Aldema Lior | Open Market Sale | 10.8.2026 | 2,812 | -2,812 | $9.98 |
| Baruch Niran | Open Market Sale | 10.8.2026 | 1,875 | -1,875 | $9.99 |
| Baruch Niran | Open Market Sale | 10.8.2026 | 99,375 | -1,875 | $9.99 |
| Aldema Lior | Open Market Sale | 10.8.2026 | 104,065 | -2,812 | $9.98 |
| Aldema Lior | Open Market Sale | 6.8.2026 | 2,812 | -2,812 | $9.95 |
| Baruch Niran | Open Market Sale | 6.8.2026 | 1,875 | -1,875 | $9.95 |
| Baruch Niran | Open Market Sale | 6.8.2026 | 101,250 | -1,875 | $9.95 |
| Aldema Lior | Open Market Sale | 6.8.2026 | 106,877 | -2,812 | $9.95 |
| Aldema Lior | Open Market Sale | 5.8.2026 | 2,812 | -2,812 | $9.86 |
| Baruch Niran | Open Market Sale | 5.8.2026 | 1,875 | -1,875 | $9.84 |
| Aldema Lior | Open Market Sale | 5.8.2026 | 109,689 | -2,812 | $9.86 |
| Baruch Niran | Open Market Sale | 5.8.2026 | 103,125 | -1,875 | $9.84 |
| Baruch Niran | Open Market Sale | 8.5.2026 | 1,875 | -1,875 | $8.34 |
| Aldema Lior | Open Market Sale | 8.5.2026 | 2,813 | -2,813 | $8.34 |
| Baruch Niran | Open Market Sale | 8.5.2026 | 105,000 | -1,875 | $8.34 |
| Aldema Lior | Open Market Sale | 8.5.2026 | 112,501 | -2,813 | $8.34 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
144,354 shares short as of 2026-08-31 · vs. 122,033 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
56.4% of trading volume this week was short selling, vs. 49.8% 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