Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Real Estate · ·
$12.00
▼ $0.22 (-1.8%)
Market data updated: 09/27 01:50 PM
News analyzed: 09/27/2026
Market Cap
Not available
Day Range
$11.92 - $12.25
52-Week Range
$8.88 - $13.37
Beta
—
Next Earnings
28.10.2026
Support
$10.01
Resistance
$12.58
TAL is a stock from the Real Estate sector — REITs and real-estate companies — highly sensitive to interest rates and property prices.
+7.2% (1Y)
🟢 Strong
Strengths: 6/13 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: 0.29 (3y annualized return 14.8% / max drawdown 51.3%)
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.
The TAL stock analysis yields an investorScore of 88 with a STRONG rating, reflecting a robust but not flawless outlook. Technical indicators dominate the picture: the share price trades above both the 50‑day and 200‑day moving averages, confirming a sustained uptrend, while a positive MACD histogram and an RSI of 61.1 point to healthy bullish momentum. However, the %K oscillator at 90.4 signals an overbought condition, suggesting short‑term exhaustion risk. News coverage is overwhelmingly favorable, with multiple articles highlighting potential undervaluation, analyst upside targets near 26.7%, and supportive AI policy developments, collectively boosting sentiment and supporting the high news score of 100. Risk metrics temper the optimism: an ATR of 3.3% of price indicates notable volatility, and a Calmar ratio of 0.38 (19.6% annual return over three years with a 51.3% maximum drawdown) points to a risk‑adjusted return that is modest relative to the volatility experienced. The strengths—price above key moving averages, positive MACD, solid RSI, and a 17.7% three‑month relative gain—drive the high overall score, while concerns about overbought momentum and a low Calmar ratio introduce caution. Future shifts in the %K reading, a change in news sentiment, or a break below the moving averages could materially alter the score, and the model’s reliance on historical data and static risk measures limits its ability to capture real‑time market dynamics.
The stock trades above both the 50‑day and 200‑day moving averages, the MACD histogram is positive, and the RSI sits at 61.1, indicating solid momentum. Yet the %K oscillator at 90.4 shows the asset is overbought, signaling potential short‑term fatigue.
These mixed signals suggest strong upward trend momentum but also warn of possible price correction if overbought conditions persist.
Multiple recent articles cite TAL as potentially undervalued, note analyst upside targets around 26.7%, and highlight favorable AI policy developments in China.
Positive news sentiment reinforces investor confidence and can provide support for further price appreciation.
An ATR of 3.3% of price reflects moderate volatility, and a Calmar ratio of 0.38 (19.6% annual return with a 51.3% max drawdown) indicates a relatively low risk‑adjusted return.
The volatility and modest risk‑adjusted performance increase the overall risk profile despite the strong technical backdrop.
StockIQ conclusion
TAL currently presents a strong technical foundation with favorable news sentiment, driving an overall investorScore of 88 and a STRONG rating. However, elevated overbought signals and a modest risk‑adjusted return introduce caution. The balance of upward momentum and potential volatility suggests investors should monitor for any reversal in technical indicators or news tone before making decisions.
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
75
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
18d ago · $11.90
Evidence: -3.7pp vs. sector average today
What happened after
18d ago · $11.90
Evidence: attention score 80/100
What happened after
18d ago · $11.90
Evidence: 1.6x recent average volume
What happened after
19d ago · $12.40
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
19d ago · $12.40
Evidence: attention score 61/100
What happened after
19d ago · $12.40
Evidence: +3.7pp vs. sector average today
What happened after
19d ago · $12.40
Evidence: 1.6x recent average volume
What happened after
20d ago · $12.40
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
20d ago · $12.40
Evidence: +3.2pp vs. sector average today
What happened after
20d ago · $12.40
Evidence: 1.6x recent average volume
What happened after
21d ago · $12.40
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
21d ago · $12.40
Evidence: +3.2pp vs. sector average today
What happened after
21d ago · $12.40
Evidence: 1.6x recent average volume
What happened after
21d ago · $12.40
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
22d ago · $12.40
Evidence: 1.5x recent average volume
What happened after
22d ago · $12.40
Evidence: +3.2pp vs. sector average today
What happened after
22d ago · $12.38
Evidence: 11 bullish / 1 bearish technical signals agreeing
What happened after
23d ago · $11.99
Evidence: -6.2pp vs. sector average today
What happened after
23d ago · $12.13
Evidence: -4.9pp vs. sector average today
What happened after
23d ago · $12.13
Evidence: 10 bullish / 0 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 September 4, 2026
Then
71
$11.99
Now
75
$12.00
What happened since
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
72
Risk
42
Sentiment
98
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 coverage of TAL Education Group has been dominated by financial‑analyst commentary, focusing on the stock’s valuation and investment appeal. Multiple outlets compare TAL’s price and metrics with peers such as LINC and LAUR, discuss whether the shares are currently undervalued, and cite Wall Street analysts’ average target suggesting roughly 27% upside. The articles emphasize earnings‑estimate trends and value‑ranking methods rather than operational or strategic news about the company.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about TAL Education Group. News trend score: 98. Reason: 8 of the last 20 articles are positive, versus 0 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
21
🎯 Conviction (vs. Emotion)
50
Psychology
24
Fundamentals
—
Technical
72
Valuation
—
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 is holding at a real, documented historical support/resistance level (a 50-day high or low).
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)
+27%
Market Narrative
69
Fundamental Reality
50
Narrative Gap
+19
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 StockIQ Psychologist
Market behavior suggests a dominant narrative gap where euphoria and herding are intertwined with FOMO, despite no clear panic or overconfidence. The stock’s strong momentum, extreme positive sentiment, and outperformance relative to peers imply traders may be chasing gains while anchoring near resistance. The key open question is whether this momentum-driven euphoria will sustain or if herding behavior will shift as peers stabilize. Anchoring remains mild, but the gap between narrative optimism and neutral reality could signal vulnerability if sentiment cools.
Updated: 09/09/2026, 02:14 PM
What could change this?
👥 What the crowd believes
"TAL vs. LINC: Which Stock Is the Better Value Option?"
"potential upside of 26.7% in TAL Education (TAL)"
"Is TAL Education Group (TAL) Stock Undervalued Right Now?"
"TAL vs. LAUR: Which Stock Is the Better Value Option?"
📈 16D 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
Jesse Livermore — 57/100
🔴 Weakest match
Thorstein Veblen — 20/100
🗣️ Why do they disagree?
This stock’s starkly divided verdicts reflect deep methodological disagreements about its suitability. Jesse Livermore’s near-neutral stance (66) contrasts sharply with the outright caution of risk-averse investors like Howard Marks (34) and Morgan Housel (23), who flag volatility and valuation risks. Meanwhile, fundamentalists like Benjamin Graham (50) and Philip Fisher (50) are stymied by insufficient data, while behavioral economists like Thorstein Veblen (20) and Samuel Nelson (9) see speculative excesses or overbought cycles. The middle-ground approaches—such as the efficient-market skepticism of Malkiel/Bogle (55)—suggest weak evidence for active selection, while crowd psychology (Mackay’s 48) hints at speculative momentum. The divergence underscores whether the stock’s risks are manageable (Livermore) or inherently dangerous (Marks, Nelson), or if it’s simply too opaque for traditional valuation frameworks.
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟡 56
Some signs of crowd excitement building
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 55
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
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%
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟡 49
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
Gerald M. Loeb
The Battle for Investment Survival (1935)
🟡 43
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟡 40
Mid-cycle — no strong signal either way
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 39
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
Morgan Housel
The Psychology of Money (2020)
🔴 35
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
Jack Schwager
Market Wizards (1989)
🔴 23
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
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
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
Based on the last 285 trading days, calculated from real price data. Click an indicator for details and a chart.
🟢 Most indicators support an uptrend (6 bullish · 2 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.
Sentiment based on basic keywords (not AI) — 8 positive, 12 neutral, 0 negative out of the last 20 articles.
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StockIQ doesn't currently have enough real data to compute a reliable score for TAL Education Group (TAL) — 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 TAL 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.
TAL's technical score is 72/100, 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: 0.29 (3y annualized return 14.8% / max drawdown 51.3%); Price is below the SAR point — downtrend; Volume is falling despite the price advance — possible weakening.
StockIQ has no recorded dividend payment history for TAL.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 4 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| PENG ALEX ZHUANGZHUANG | Open Market Sale | 3.8.2026 | 30,000 | -30,000 | $12.28 |
| PENG ALEX ZHUANGZHUANG | Open Market Sale | 3.8.2026 | 15,144 | -30,000 | $12.28 |
| WANG Edward Yi | Tax Withholding in Shares | 27.4.2026 | 4,276 | -4,276 | $10.80 |
| PENG ALEX ZHUANGZHUANG | Open Market Sale | 27.4.2026 | 80,000 | -80,000 | $10.86 |
| PENG ALEX ZHUANGZHUANG | Tax Withholding in Shares | 27.4.2026 | 15,659 | -15,659 | $10.80 |
| LIU YACHAO | Tax Withholding in Shares | 27.4.2026 | 18,967 | -18,967 | $10.80 |
| WANG Edward Yi | Tax Withholding in Shares | 27.4.2026 | 9,866 | -4,276 | $10.80 |
| PENG ALEX ZHUANGZHUANG | Tax Withholding in Shares | 27.4.2026 | 125,144 | -15,659 | $10.80 |
| PENG ALEX ZHUANGZHUANG | Open Market Sale | 27.4.2026 | 45,144 | -80,000 | $10.86 |
| LIU YACHAO | Tax Withholding in Shares | 27.4.2026 | 243,540 | -18,967 | $10.80 |
| WANG Edward Yi | Exercise of Derivative Securities | 26.4.2026 | 14,142 | -14,142 | — |
| WANG Edward Yi | Exercise of Derivative Securities | 26.4.2026 | 14,142 | +14,142 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 7,590 | -7,590 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 30,360 | -30,360 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 7,590 | +7,590 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 30,360 | +30,360 | — |
| LIU YACHAO | Exercise of Derivative Securities | 26.4.2026 | 39,672 | -39,672 | — |
| LIU YACHAO | Exercise of Derivative Securities | 26.4.2026 | 39,672 | +39,672 | — |
| WANG Edward Yi | Exercise of Derivative Securities | 26.4.2026 | 14,142 | +14,142 | — |
| WANG Edward Yi | Exercise of Derivative Securities | 26.4.2026 | 28,284 | -14,142 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 133,213 | +30,360 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 140,803 | +7,590 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 91,080 | -30,360 | — |
| PENG ALEX ZHUANGZHUANG | Exercise of Derivative Securities | 26.4.2026 | 22,770 | -7,590 | — |
| LIU YACHAO | Exercise of Derivative Securities | 26.4.2026 | 262,507 | +39,672 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
20,267,186 shares short as of 2026-09-15 · vs. 21,590,540 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
50.2% of trading volume this week was short selling, vs. 44.2% 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