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Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Finance · ·
$23.16
▲ $0.50 (+2.2%)
Market data updated: 09/19 02:17 AM
News analyzed: 09/19/2026
Market Cap
$177.23B
Day Range
$22.99 - $23.35
52-Week Range
$21.77 - $37.45
Beta
—
Next Earnings
16.10.2026
Support
$21.77
Resistance
$26.88
-35.1% (1Y)
🟡 Moderate
Strengths: 4/13 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
🟡 Mixed
Insiders
🔴 Bearish
Computed directly from the same signals behind the score above — not AI-generated.
Biggest positive driver
MACD
MACD histogram is positive — rising momentum
Technical
Biggest negative driver
Calmar Ratio (return vs. drawdown)
Calmar: -0.22 (3y annualized return -10.0% / max drawdown 44.7%)
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
40
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
50
Risk
42
Sentiment
14
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 HDFC Bank Limited has primarily focused on its stock performance amid broader market trends, with notable attention to its recent decline. The bank’s shares hit a 30-month low following the CEO’s exit, creating investor uncertainty. Additionally, HDFC Bank’s ADRs were tracked in US trading sessions, reflecting broader financial sector volatility. Whale trading activity and general market fluctuations also influenced its stock valuation.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about HDFC Bank Limited. News trend score: 14. Reason: 10 of the last 20 articles are negative, versus 4 positive.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
14
🎯 Conviction (vs. Emotion)
50
Psychology
17
Fundamentals
—
Technical
50
Valuation
—
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.
The stock is moving in lockstep with its peers at the same intensity, rather than on its own data.
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)
-8%
Market Narrative
31
Fundamental Reality
50
Narrative Gap
-19
🔀 Weak-Conviction Rally
Price is moving, but not accompanied by a matching rise in news attention/sentiment.
🧠 StockIQ Psychologist
The market behavior for HDB strongly suggests traders are fixated on a near-term support level (0.9% away), consistent with anchoring bias. While panic selling and herding signals are present, they are muted by neutral volume and sentiment. The narrative gap (-17) hints at a disconnect between market expectations and reality, but the dominant anchoring implies traders may resist breaking support unless triggered. The key question: will the stock hold support, or will the proximity to it prove a psychological trap?
Updated: 09/09/2026, 05:07 AM
What could change this?
👥 What the crowd believes
"HDFC Bank Hits 30-Month Low as CEO Exit Deepens Overhang"
📈 9D 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 — 96/100
🔴 Weakest match
Thorstein Veblen — 20/100
🗣️ Why do they disagree?
The methodologies for HDB reveal a stark divide between those focused on macroeconomic cycles and behavioral patterns versus those constrained by data limitations or fundamental skepticism. Charles Mackay and Edgar Lawrence Smith both score perfectly, with Mackay dismissing crowd mania and Smith deferring due to insufficient dividend/growth data—suggesting a cautious optimism if market sentiment were clearer. Meanwhile, Samuel Armstrong Nelson and Howard Marks (cycle) lean bullish, seeing the stock as undervalued or early-cycle, while Howard Marks (general) and Morgan Housel strike a more measured tone, with the latter praising its potential as a quiet compounder. At the opposite end, Thorstein Veblen and Jesse Livermore flag red flags—Veblen sees unchecked growth motives, while Livermore’s low score reflects a bearish trend alignment. The middle ground, from Gerald Loeb to Philip Fisher, either warns of moderate risk or lacks sufficient data to form a definitive view, illustrating how methodology gaps and interpretive frameworks shape vastly different conclusions.
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 96
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)
🟢 77
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
Morgan Housel
The Psychology of Money (2020)
🟡 54
Moderate — holdable, but not effortless
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
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)
🟡 49
Moderate risk to capital
Key question
How much capital could I lose here if I'm wrong?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 49
No clear edge either way
Key question
What's the risk/reward here, and where is my exit point?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 36
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
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🔴 32
Cycle looks stretched toward overbought
Key question
Is the price overextended, or is there still room to move?
Fact → Principle → Simulation
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 28
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
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
Based on the last 281 trading days, calculated from real price data. Click an indicator for details and a chart.
🟡 Indicators are mixed — no clear bias (4 bullish · 4 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 downtrend 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 |
|---|---|
| 11.8.2025 | $0.376 |
| 10.8.2025 | $0.376 |
| 31.7.2025 | $0.087 |
| 30.7.2025 | $0.087 |
| 12.8.2024 | $0.348 |
| 11.8.2024 | $0.348 |
| 14.8.2023 | $0.342 |
| 13.8.2023 | $0.342 |
| 12.5.2023 | $0.349 |
| 11.5.2023 | $0.349 |
| 19.7.2022 | $0.290 |
| 18.7.2022 | $0.290 |
Sentiment based on basic keywords (not AI) — 4 positive, 6 neutral, 10 negative out of the last 20 articles.
MT Newswires · 15.9.2026
MT Newswires · 14.9.2026
MT Newswires · 11.9.2026
SeekingAlpha · 11.9.2026
Yahoo · 10.9.2026
MT Newswires · 10.9.2026
Yahoo · 10.9.2026
Retail Banker International · 10.9.2026
MT Newswires · 9.9.2026
Yahoo · 7.9.2026
Zacks · 7.9.2026
MT Newswires · 4.9.2026
MT Newswires · 3.9.2026
MT Newswires · 1.9.2026
Benzinga · 1.9.2026
Yahoo · 1.9.2026
GuruFocus.com · 1.9.2026
Yahoo · 31.8.2026
Motley Fool · 31.8.2026
MT Newswires · 31.8.2026
StockIQ doesn't currently have enough real data to compute a reliable score for HDFC Bank Limited (HDB) — 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 HDB 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.
HDB's technical score is 50/100, which currently reads as neutral — 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: MACD histogram is positive — rising momentum; RSI 50.7 — healthy positive momentum; Price is above the SAR point — uptrend.
Based on the real signals StockIQ computed: Calmar: -0.22 (3y annualized return -10.0% / max drawdown 44.7%); Price is below the 50-day average; Price is below the 200-day average.
Yes — HDB 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 6 sales out of the last 25 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| Srinivasan N | Open Market Sale | 7.5.2026 | 10,000 | -10,000 | $8.72 |
| Srinivasan N | Open Market Sale | 7.5.2026 | 638,422 | -10,000 | $8.72 |
| RAJPUT RAKESH KUMAR | Option Exercise (in-the-money) | 6.5.2026 | 12,600 | -12,600 | $7.08 |
| RAJPUT RAKESH KUMAR | Option Exercise (in-the-money) | 6.5.2026 | 12,600 | +12,600 | $7.08 |
| RAJPUT RAKESH KUMAR | Option Exercise (in-the-money) | 6.5.2026 | 15,000 | +12,600 | $7.08 |
| RAJPUT RAKESH KUMAR | Option Exercise (in-the-money) | 6.5.2026 | 0 | -12,600 | $7.08 |
| Parthasarthy Ashish | Open Market Sale | 28.4.2026 | 5,600 | -5,600 | $8.70 |
| Parthasarthy Ashish | Open Market Sale | 28.4.2026 | 842,958 | -5,600 | $8.70 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 3,000 | +3,000 | $7.85 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 3,000 | +3,000 | $6.80 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 3,000 | -3,000 | $6.80 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 3,000 | -3,000 | $7.85 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 700,436 | +3,000 | $6.80 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 703,436 | +3,000 | $7.85 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 51,400 | -3,000 | $6.80 |
| Bhavnani Anil | Option Exercise (in-the-money) | 23.4.2026 | 18,800 | -3,000 | $7.85 |
| Parthasarthy Ashish | Open Market Sale | 21.4.2026 | 6,000 | -6,000 | $8.94 |
| Parthasarthy Ashish | Open Market Sale | 21.4.2026 | 848,558 | -6,000 | $8.94 |
| Bharucha Kaizad | Option Exercise (in-the-money) | 17.4.2026 | 5,000 | -5,000 | $6.80 |
| Bharucha Kaizad | Option Exercise (in-the-money) | 17.4.2026 | 5,000 | +5,000 | $6.80 |
| Bharucha Kaizad | Option Exercise (in-the-money) | 17.4.2026 | 4,607,082 | +5,000 | $6.80 |
| Bharucha Kaizad | Option Exercise (in-the-money) | 17.4.2026 | 45,000 | -5,000 | $6.80 |
| Shah Nirav Vimal | Option Exercise (in-the-money) | 16.4.2026 | 51,800 | -51,800 | $7.85 |
| Shah Nirav Vimal | Option Exercise (in-the-money) | 16.4.2026 | 51,800 | +51,800 | $7.85 |
| Shah Nirav Vimal | Option Exercise (in-the-money) | 16.4.2026 | 1,428,600 | +51,800 | $7.85 |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
36,464,332 shares short as of 2026-08-31 · vs. 23,555,566 on 2026-07-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
40.0% of trading volume this week was short selling, vs. 26.6% 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