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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
132.60 ₪
▲ 0.00 ₪ (+0.0%)
Market data updated: 09/20 10:57 AM
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
125.20 ₪ - 132.80 ₪
52-Week Range
116.10 ₪ - 220.00 ₪
Beta
—
Next Earnings
—
Support
125.20 ₪
Resistance
220.00 ₪
NYAX.TA is a stock from the Technology sector — Software, hardware, chip, and computing-services companies — revenue tied to the pace of innovation and upgrade cycles.
-9.2% (1Y)
🟡 Moderate
Strengths: 0/13 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
🔴 Bearish
Technical Trend
🔴 Bearish
No notable strengths identified.
Computed directly from the same signals behind the score above — not AI-generated.
Biggest negative driver
Daily volatility (ATR)
ATR: 6.0% of price
Risk
What to watch next
When today echoes the past.
NO RELIABLE ECHO FOUND
Only 0 historical analog(s) found after removing overlapping dates — too few for a statistically meaningful comparison.
Historical matches considered: 0
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.
NYAX.TA exhibits a mixed technical and risk profile, with a **WEAK** overall rating driven by conflicting signals. While the MACD histogram’s positivity and a 10.0% ROC over 12 days suggest rising momentum, the stock remains trapped below both its 50-day (20.5%) and 200-day (32.1%) moving averages, signaling persistent weakness. The RSI (43.8) and %K (76.1) further indicate neutral-to-bearish bias, despite the price sitting above its SAR point, which technically supports an uptrend. Risk metrics are notably volatile: the ATR (6.3% of price) reflects high relative volatility, and the Calmar ratio (0.62) highlights a historically high drawdown (36.0%) relative to its 22.2% annualized return, underscoring sensitivity to market shifts. News sentiment, though neutral, lacks concrete evidence to substantiate either bullish or bearish narratives, leaving the stock’s trajectory dependent on technical execution and external catalysts.
The stock shows positive momentum (MACD, ROC) but remains below critical moving averages (50-day, 200-day) with a neutral RSI and %K, indicating a fragile uptrend.
This divergence between momentum indicators and long-term averages creates uncertainty about whether the uptrend will sustain or reverse.
No specific news events or sentiment data are available to influence the analysis, leaving the stock’s narrative undefined.
Lack of news context means the stock’s movement is driven purely by technical and risk factors, increasing reliance on quantitative signals.
The ATR (6.3%) and Calmar ratio (0.62) reveal high volatility and a historically significant drawdown (36.0%) relative to returns, signaling elevated risk.
Such risk metrics suggest the stock may experience sharp corrections, requiring cautious positioning or hedging strategies.
StockIQ conclusion
NYAX.TA presents a technically mixed picture with signs of short-term momentum but persistent long-term weakness, compounded by high volatility and risk. While technical indicators like the MACD and ROC suggest potential for upward movement, the stock’s position below key moving averages and elevated risk metrics create significant hurdles. Without clear news catalysts or a shift in technical structure, the stock’s trajectory remains uncertain, relying heavily on quantitative signals and external validation.
Written automatically from the computed data shown on this page only — not investment advice.
🗓️ 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
22
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
No data available
Quality
No data available
Value
No data available
Momentum
9
Risk
34
Sentiment
50
Fundamental
No data available
Institutional
No data available
Stocks with a similar DNA right now
Not enough comparably-scored stocks yet to show similar matches.
SCANNING NYAX.TA...
🌡️ Emotional Temperature
37
🎯 Conviction (vs. Emotion)
50
Psychology
50
Fundamentals
—
Technical
9
Valuation
—
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
A significant decline over time, but on unusually low trading volume — holders unwilling to accept the loss.
Price, volume, and sentiment accelerating together — a sign investors are chasing the price, not just following it.
Extreme momentum, price far above its moving average, and a large premium over fair value.
Price (3M)
-32%
Market Narrative
33
Fundamental Reality
50
Narrative Gap
-17
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
The dominant **Loss Aversion** (59) reflects a market wary of further downside after a 19.5% drop over three months, despite modest momentum. Herding (27) hints at cautious peer comparison, while FOMO (18) remains muted by neutral RSI and sentiment. The narrative gap (6) suggests slight optimism over reality, but the data prioritizes risk aversion. The key question: Will volume spike if support breaks, or will traders hold despite lingering losses?
Updated: 09/05/2026, 07:18 PM
What could change this?
📈 12D 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 — 100/100
🔴 Weakest match
Morgan Housel — 0/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with some seeing opportunity while others flag severe risks. The highest-scoring approaches—Charles Mackay’s crowd psychology model and Howard Marks’ market-cycle analysis—both rate it favorably, suggesting it lacks speculative mania or cycle-driven overextension. Meanwhile, disciplined traders like Jack Schwager and Howard Marks (general) see it as a structured, risk-priced setup, though not without caution. In contrast, methodologies requiring deeper data—Graham, Fisher, Lynch, or Veblen—can’t form a clear verdict due to insufficient fundamentals, while cyclical skeptics like Nelson and Housel warn of overbought conditions or volatility that could erode patience. The extreme divergence, from Morgan Housel’s outright rejection to Loeb’s capital-threatening risk assessment, highlights how this stock’s ambiguity either rewards selective, principle-driven investors or repels those wary of uncertainty.
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 100
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 100
Looks early-to-mid cycle, not overextended
Key question
Where are we in the cycle right now — near a hot extreme, or a cold one?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 99
Cycle position looks favorable — closer to oversold than overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟢 79
A real, disciplined setup with favorable reward/risk
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)
🟢 70
Risk appears reasonably priced — no obvious cycle-timing red flag
Key question
What is the market probably misunderstanding about the risk here?
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%
Thorstein Veblen
The Theory of Business Enterprise (1904)
🟡 50
Not enough growth/insider data for a real Veblen read
Key question
Is management building real value, or just building itself?
⚠️ 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%
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🔴 32
Weak case — Malkiel/Bogle would say a low-cost index is the simpler bet
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)
🔴 23
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 21
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🔴 15
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
Morgan Housel
The Psychology of Money (2020)
🔴 0
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
Based on the last 255 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 10 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 downtrend 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.
Sentiment based on basic keywords (not AI) — 0 positive, 0 neutral, 0 negative out of the last 0 articles.
No recent articles found for this stock.
StockIQ doesn't currently have enough real data to compute a reliable score for Nayax Ltd (NYAX.TA) — 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 NYAX.TA 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.
NYAX.TA's technical score is 9/100, 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: ATR: 6.0% of price; Calmar: 0.46 (3y annualized return 18.0% / max drawdown 39.0%); Price is below the 50-day average.
StockIQ has no recorded dividend payment history for NYAX.TA.
Full breakdown of every data type and its source: Data Sources · Methodology