Analyzing the stock…
70
Gathering technical, fundamental, and market data — a few seconds
Consumer Discretionary · ·
$0.94
▼ $0.02 (-1.6%)
Market data updated: 10/01 01:25 AM
Fundamentals updated: 10/01/2026
News analyzed: 10/01/2026
Market Cap
Not available
Day Range
$0.92 - $0.95
52-Week Range
$0.72 - $2.00
Beta
—
Next Earnings
09.11.2026
Support
$0.81
Resistance
$1.21
YTRA is a stock from the Consumer Cyclical sector — Retail, automotive, and leisure — demand rises and falls with economic sentiment and consumers' disposable income.
-32.7% (1Y)
Strengths: 8/29 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
Revenue growth (last year)
Revenue growth (last year): 85.2%
Growth
Biggest negative driver
Operating margin
Operating margin: -11.3% (negative)
Fundamental
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
42
Today
—
30D
—
90D
—
1Y
🕰️ Signal Timeline
What StockIQ actually saw for this stock, and what happened after each signal — real data, not a forecast.
today · $0.94
Evidence: Panic-selling score jumped from 1 to 30 day-over-day
What happened after
Still awaiting outcome
🐂🐻 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
82
Quality
42
Value
55
Momentum
9
Risk
34
Sentiment
68
Fundamental
31
Institutional
No data available
Stocks with a similar DNA right now
Not enough comparably-scored stocks yet to show similar matches.
This stock hasn't been analyzed by StockIQAI's movement engine yet — coverage is still expanding. Check back soon.
Recent media coverage of Yatra Online, Inc. has primarily centered on its rejection of an unsolicited partial tender offer from Magna Holdings, which proposed acquiring 20 million shares at $1.10 per share. The company’s board unanimously dismissed the offer, calling it undervalued and opportunistic, while also criticizing Magna’s lack of transparency. Additionally, Yatra’s Q1 2027 earnings call highlighted challenges from geopolitical pressures, though no major financial surprises were reported. The focus remains on corporate governance and strategic resistance to hostile takeover attempts.
AI summary based on English-language news sources only — not investment advice.
Everyone's writing about Yatra Online, Inc.. News trend score: 68. Reason: 5 of the last 15 articles are positive, versus 2 negative.
News trend analysis is based on article sentiment only, and is not investment advice or financial counsel. Read the full disclaimer
🌡️ Emotional Temperature
25
🎯 Conviction (vs. Emotion)
36
Psychology
30
Fundamentals
31
Technical
9
Valuation
55
A sharp drop, unusual volume, and negative news sentiment all at once — selling pressure that looks emotional.
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.
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)
+4%
Market Narrative
40
Fundamental Reality
36
Narrative Gap
+4
🔀 Psychology Acceleration
News attention/sentiment is running well ahead of the price move itself.
🧠 Market Brain events driving this
📈 3D Investor Psychology
Signal classification confidence: High (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
Benjamin Graham (Enterprising Investor) — 100/100
🔴 Weakest match
Jesse Livermore — 19/100
🗣️ Why do they disagree?
This stock splits methodologies into two stark camps: the value and cycle-focused investors see strong potential, while the more cautious, growth-oriented, or market-skeptical approaches flag significant concerns. Benjamin Graham’s *Enterprising Investor* methodology and Samuel Armstrong Nelson’s cycle analysis both rate it near-perfectly, suggesting a deep undervaluation or a favorable market position—likely due to strong fundamentals or a contrarian opportunity. Conversely, Fisher, Marks, and even Graham’s traditional framework all score it mid-range, implying it’s a solid but unexceptional pick, lacking the moat or margin of safety they’d demand. Meanwhile, the efficient-market and volatility-focused thinkers (like Housel and Livermore) dismiss it outright, with Livermore’s near-failure score and Housel’s volatility warning signaling a stock that either doesn’t fit passive indexing logic or carries too much downside risk for patient holders. The divide underscores whether YTRA’s appeal lies in its statistical cheapness or cyclical timing (favored by Graham and Nelson) or if its flaws—overpriced growth, poor liquidity, or trend resistance—make it a gamble rather than a disciplined bet.
Benjamin Graham (Enterprising Investor)
The Intelligent Investor (1949) — the Enterprising Investor chapters
🟢 100
Deep statistical discount — a real Enterprising Investor candidate
Key question
Is the stock statistically cheap enough to justify the extra risk?
⚠️ Partial data for this stock — score is less reliable — Data availability: 45%
Fact → Principle → Simulation
Samuel Armstrong Nelson
The ABC of Stock Speculation (1903)
🟢 92
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
Charles Mackay
Extraordinary Popular Delusions and the Madness of Crowds (1841)
🟢 91
No obvious signs of crowd mania
Key question
Am I being swept along with the crowd, or thinking for myself?
Fact → Principle → Simulation
Peter Lynch
One Up on Wall Street (1989)
🟢 68
Mixed — growth exists but the price already reflects much of it
Key question
Is the growth worth the price?
Fact → Principle → Simulation
Howard Marks (Market Cycle)
Mastering the Market Cycle (2018)
🟢 68
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
Benjamin Graham
Security Analysis (1934) / The Intelligent Investor (1949)
🟡 62
Mixed — doesn't clearly pass Graham's tests
Key question
Where is my margin of safety?
Fact → Principle → Simulation
Philip Fisher
Common Stocks and Uncommon Profits (1958)
🟡 60
Solid, but not the exceptional quality Fisher looked for
Key question
How exceptional is this business, really?
Fact → Principle → Simulation
Jack Schwager
Market Wizards (1989)
🟡 60
No clear edge either way
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)
🟡 56
Mixed signal on whether growth translates to real profit
Key question
Is management building real value, or just building itself?
Fact → Principle → Simulation
Howard Marks
The Most Important Thing (2011) / Mastering the Market Cycle (2018)
🟡 51
Mixed — a good business, but expectations may already be high
Key question
What is the market probably misunderstanding about the risk here?
Fact → Principle → Simulation
Walter Bagehot
Lombard Street (1873)
🟡 45
Adequate but not exceptional liquidity
Key question
Does this company have enough liquidity to survive real stress?
Fact → Principle → Simulation
Burton Malkiel & John Bogle
A Random Walk Down Wall Street (1973) / The Little Book of Common Sense Investing (2007)
🟡 42
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
Edgar Lawrence Smith
Common Stocks as Long-Term Investments (1924)
🟡 38
Doesn't show the stability Smith's long-term case requires
Key question
Is this a stock I'd be happy to hold and forget about for a decade?
Fact → Principle → Simulation
Morgan Housel
The Psychology of Money (2020)
🔴 31
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?
Fact → Principle → Simulation
Gerald M. Loeb
The Battle for Investment Survival (1935)
🔴 27
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
Jesse Livermore
Reminiscences of a Stock Operator (1923) / How to Trade in Stocks (1940)
🔴 19
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 288 trading days, calculated from real price data. Click an indicator for details and a chart.
🔴 Most indicators support a downtrend (0 bullish · 11 bearish · 0 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.
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.
Gross Margin
58.2%
Operating Margin
-11.3%
Net Margin
-8.7%
EBITDA Margin
—
ROE
-28.8%
ROA
-0.8%
ROIC
—
EPS
-$0.02
Cash
$6.42M
Total Debt
$6.39M
Current Ratio
2.09
Debt/Equity
2.11
How is Fair Value calculated? →
Not enough cash-flow data to calculate a DCF model for this stock.
Book Value per Share
$5.98
Tangible Book Value per Share (Tangible NAV)
$7.14
Sentiment based on basic keywords (not AI) — 5 positive, 8 neutral, 2 negative out of the last 15 articles.
Yahoo · 1.9.2026
GlobeNewswire · 1.9.2026
Benzinga · 1.9.2026
Business Wire · 21.8.2026
Benzinga · 21.8.2026
GuruFocus.com · 13.8.2026
MarketBeat · 13.8.2026
SeekingAlpha · 13.8.2026
SeekingAlpha · 13.8.2026
Benzinga · 13.8.2026
Business Wire · 12.8.2026
Business Wire · 10.8.2026
Business Wire · 1.7.2026
GuruFocus.com · 25.5.2026
Moby · 23.5.2026
Yatra Online, Inc. (YTRA) currently has a StockIQ AI score of 42/100, rated "Weak". The score is a weighted average across up to 7 categories (technical, fundamental, growth, fair value, news, quality, risk), based on real data only.
YTRA currently scores 42/100 (Weak) across the categories we measure. StockIQ doesn't give buy/sell recommendations — use this as one data point in your own research, not as investment advice.
YTRA'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: Revenue growth (last year): 85.2%; Earnings per share (EPS) growth: 71.4%; Free cash flow growth: 76.3%.
Based on the real signals StockIQ computed: Operating margin: -11.3% (negative); Net margin: -8.7% (negative); Operating margin is eroding over time.
StockIQ has no recorded dividend payment history for YTRA.
Real transactions by officers and insiders, as reported to the SEC on Form 4 — 0 purchases and 0 sales out of the last 15 filings.
| Name | Transaction Type | Date | Shares | Change | Price |
|---|---|---|---|---|---|
| SCHIFRIN STEPHEN SIMON | Grant/Award from Employer | 24.8.2026 | 194,112 | +18,737 | — |
| Kaufman Michael A | Grant/Award from Employer | 24.8.2026 | 61,585 | +13,871 | — |
| Mendis Roshan | Grant/Award from Employer | 24.8.2026 | 108,201 | +18,737 | — |
| Kadaba Murlidhara | Grant/Award from Employer | 24.8.2026 | 134,004 | +16,305 | — |
| SCHIFRIN STEPHEN SIMON | Grant/Award from Employer | 24.8.2026 | 18,737 | +18,737 | — |
| Kadaba Murlidhara | Grant/Award from Employer | 24.8.2026 | 16,305 | +16,305 | — |
| Kaufman Michael A | Grant/Award from Employer | 24.8.2026 | 13,871 | +13,871 | — |
| Mendis Roshan | Grant/Award from Employer | 24.8.2026 | 18,737 | +18,737 | — |
| Shringi Dhruv | Grant/Award from Employer | 5.8.2026 | 256,410 | +256,410 | — |
| Shringi Dhruv | Grant/Award from Employer | 5.8.2026 | 256,410 | +256,410 | — |
| Gupta Siddhartha | Grant/Award from Employer | 5.8.2026 | 1,870,000 | +1,870,000 | — |
| Shringi Dhruv | Grant/Award from Employer | 5.8.2026 | 256,410 | +256,410 | — |
| Shringi Dhruv | Grant/Award from Employer | 5.8.2026 | 256,410 | +256,410 | — |
| Shringi Dhruv | Grant/Award from Employer | 5.8.2026 | 256,410 | +256,410 | — |
| Gupta Siddhartha | Grant/Award from Employer | 5.8.2026 | 1,870,000 | +1,870,000 | — |
Official FINRA data — the number of shares open in short positions, plus daily short-sale activity.
35,499 shares short as of 2026-09-15 · vs. 22,752 on 2026-08-31
Official biweekly report (FINRA Rule 4560) — no real higher-frequency data exists for this metric.
24.3% of trading volume this week was short selling, vs. 15.0% 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