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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Technology · ·
346.90 ₪
▲ 0.00 ₪ (+0.0%)
Market data updated: 09/20 02:37 PM
News analyzed: 09/20/2026
Market Cap
Not available
Day Range
346.90 ₪ - 366.10 ₪
52-Week Range
296.20 ₪ - 582.50 ₪
Beta
—
Next Earnings
—
Support
308.80 ₪
Resistance
393.90 ₪
FORTY.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.
-19.3% (1Y)
🟡 Moderate
Strengths: 2/13 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
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: 0.16 (3y annualized return 7.7% / max drawdown 47.9%)
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.
The stock **FORTY.TA** achieves an overall **investorScore of 71**, reflecting a balanced profile with notable technical strength but tempered by moderate risk and limited news-driven momentum. The **technical category (85)** stands out due to clear bullish signals—price resilience above both the 50-day and 200-day moving averages, alongside a positive MACD histogram and strong ADX (35.8), indicating a well-defined uptrend. However, the RSI (74.0) and %K (82.8) readings suggest the stock is nearing overbought conditions, which could signal potential short-term volatility or a pullback. The **risk category (42)** highlights a significant drawback: a **Calmar ratio of 0.22**, driven by a **47.9% max drawdown** over a 3-year period despite a 10.6% annualized return, signaling high volatility relative to gains. Meanwhile, the **news category (50)** lacks substantive evidence, implying no recent material developments to substantiate the technical or fundamental narrative. The stock’s performance relative to its index (+11.8% over 3 months) further underscores its outperformance, though the absence of news-based catalysts leaves its trajectory reliant on technical momentum alone.
The stock exhibits strong bullish momentum with price above both 50-day and 200-day moving averages, a positive MACD histogram, and an ADX of 35.8 indicating a clear trend. However, RSI (74.0) and %K (82.8) readings suggest overbought conditions, which may signal impending volatility.
Technical strength is critical for validating a trend, but overbought indicators could trigger a correction, impacting short-term stability.
There is no available evidence or recent news data to support or explain the stock’s performance or outlook.
Lack of news-driven catalysts means the stock’s trajectory depends entirely on technical performance, increasing reliance on market sentiment.
The stock displays high volatility, with a Calmar ratio of 0.22 (3-year annualized return of 10.6% offset by a 47.9% max drawdown) and an ATR of 2.9% of price, indicating significant drawdown risk.
The high drawdown risk suggests potential for sharp declines, which could outweigh gains and deter risk-averse investors.
StockIQ conclusion
FORTY.TA demonstrates a **strong technical profile** with clear bullish signals, supported by outperformance relative to its index, but its **high volatility and overbought conditions** introduce notable risks. The lack of news-driven catalysts means the stock’s momentum remains speculative, relying entirely on technical execution. While short-term traders may find opportunities in its volatility, long-term investors should weigh the potential for significant drawdowns against its current gains. The overall score reflects a **balanced but cautious outlook**, where technical strength is offset by inherent risks and uncertainty.
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
38
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
33
Risk
42
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 FORTY.TA...
🌡️ Emotional Temperature
19
🎯 Conviction (vs. Emotion)
50
Psychology
50
Fundamentals
—
Technical
33
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.
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.
The price rise has far outpaced the actual improvement in fundamental data.
Price (3M)
+7%
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 market behavior here suggests a **FOMO-driven but restrained environment**, where positive momentum (+7.5% ROC) and neutral sentiment (50/100) create cautious enthusiasm. The absence of panic or herding signals reinforces a measured approach, while a slight euphoric edge (score 7) hints at selective overconfidence in the stock’s near-term trajectory. The narrow narrative gap (3 points) implies perceptions align closely with fundamentals, but the key question remains: *Will traders sustain momentum or pivot if peers outperform further?*
Updated: 09/09/2026, 05:24 AM
What could change this?
📈 10D 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
Jesse Livermore — 18/100
🗣️ Why do they disagree?
This stock sparks a sharp divide among methodologies, with only a few offering clear signals while most remain indecisive due to insufficient data. Jesse Livermore and Charles Mackay stand out as cautiously optimistic, with Livermore’s trend-following model favoring the price action and Mackay’s crowd psychology rules finding no manic buying frenzy. Meanwhile, Howard Marks’ risk assessment leans moderately positive, though his market-cycle variant flags a mid-cycle position—suggesting neither extreme bullishness nor bearishness. The rest of the methodologies, including Graham, Fisher, and Lynch, are stymied by a lack of fundamental or valuation data, leaving their verdicts neutral at best. Even the efficient-market proponents and Schwager’s technical analysis see no decisive edge, while the more conservative voices like Housel and Nelson warn of volatility and overbought conditions. The contrast highlights that while some traders might spot opportunity in momentum or stability, others see red flags in risk or market positioning.
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
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 93
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
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 82
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
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟢 73
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%
Jack Schwager
Market Wizards (1989)
🟡 46
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 41
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 38
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
Morgan Housel
The Psychology of Money (2020)
🔴 30
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 18
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
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 (2 bullish · 8 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 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.
Total dividend per share paid each year, over the last 5 years.
| Ex-Dividend Date | Amount per Share |
|---|---|
| 25.5.2026 | 3,948.591 ₪ |
| 24.5.2026 | 3,914.257 ₪ |
| 30.12.2025 | 164.000 ₪ |
| 29.12.2025 | 164.000 ₪ |
| 15.10.2025 | 169.000 ₪ |
| 14.10.2025 | 169.000 ₪ |
| 7.7.2025 | 157.000 ₪ |
| 6.7.2025 | 157.000 ₪ |
| 4.5.2025 | 345.000 ₪ |
| 3.5.2025 | 345.000 ₪ |
| 12.9.2024 | 232.000 ₪ |
| 11.9.2024 | 232.000 ₪ |
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 Formula Systems (1985) Ltd (FORTY.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 FORTY.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.
FORTY.TA's technical score is 33/100, 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: Price is above the 50-day average; +8.5% over the last 3 months relative to the index.
Based on the real signals StockIQ computed: Calmar: 0.16 (3y annualized return 7.7% / max drawdown 47.9%); Price is below the 200-day average; MACD histogram is negative — falling momentum.
Yes — FORTY.TA has a real recorded dividend payment history on StockIQ. See the Dividends section on this page for the actual per-share amounts and dates.
Full breakdown of every data type and its source: Data Sources · Methodology