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13

OWLS

💻 Technology

OBOOK HOLDINGS INC.

Conservative #1370Aggressive #1433Moderate RiskModerate 67ML↑ 17pt
$6.05+0.83%
Day High$6.05
Day Low$5.95
Volume0.0M
Mkt Cap$492M
52W Low $552W High $90
Market Cap
$496M
P/E Ratio
N/A
Rev Growth
18.3%
Sector avg: 14.8%
Earnings Growth
-52.2%
Profit Margin
-135.7%
Sector avg: -110.0%
Debt/Equity
N/A

Why This Score

OWLS scores 12.9 on the Conservative profile, blending a fundamental score (80% weight, emphasizing quality and stability (84% of fundamental weight)) with a machine-learning signal (20% weight) trained on 82 features across 30 years of data.

Strengths
  • Strong profitability: ROE of 192.2% exceeds the 15% quality threshold.
  • Minimal leverage (D/E -1.42) provides financial flexibility and downside protection.
Risk Factors
  • Liquidity concern: Limited trading volume or float results in a 25-point penalty for execution risk.
  • Signal divergence: Fundamental and ML signals disagree by a significant margin, reducing confidence.
  • Above-average volatility (20.0%) may not suit conservative risk tolerance.

Net penalties of -28.5 points significantly impact the ranking. Without these adjustments, OWLS would rank considerably higher.

Score Breakdown

Overall Score12.9
Fundamental Score44.3
ML Score22.0

Score by Horizon

3 Month
42.6
6 Month
47.6
Primary
1 Year
50.1

Quality Assessment

C
Earnings Grade
Mixed fundamentals, potential quality issues
Quality Flags
Negative ROIC (-242.6%) with high ROE (192.2%) — capital structure distortion (possibly negative equity or one-time gain)

Position Sizing

Suggested Allocation
4%
Confidence
medium

Score Composition Waterfall

How each component affects the final score
Backtested Scoring Levers (IC-calibrated from 30y ElasticNet)
Weinstein (12.1%)
50
Basing
Sentiment (2.5%)
39
Negative
Analyst (6.4%)
50
Neutral
Tradability (post-hoc)
0
Grade Fvery low dollar volume, low volume
Base
14.8
SHAP
-1.2
Factors
+0.4
Divergence
-1.1
Final
12.9
Positive adjustment
Negative adjustment
Base blend
Final score

Signal SegmentsComputed from ML features

Fundamental (Valuation, Quality, Growth)64.0
Technical (Momentum, Weinstein, Volatility)52.0
External (Sentiment, Analyst, Macro)60.0
Scores below 50 indicate weakness in that segment relative to the universe.

Data Quality

Score
Features
Confidence
Feature Coverage72%

Growth Estimates

Short-term
-5.2% to -0.7%
Medium-term
-7.6% to -0.9%
Long-term
-10.1% to -1.2%

ML Model Core Features100 trained inputs → ML Score: 22

These features are direct inputs to the machine learning model. The model was trained on these signals alongside 100 features (including 12 momentum/technical indicators) to produce the ML percentile score.

Analyst Intelligence
Consensus Score50.0/100
Target Upside+0.0%
Coverage0 analysts
Market Sentiment
Sentiment Score38.8/100
News Volume1 articles
Technical Stage
Weinstein Stage1 — Basing
Volatility+0.2%
Momentum & Technical
Momentum Acceleration+0.0%
Momentum ConsistencyDivergent (0.00)
Relative Strength vs Sector-3.6%
Trend Strength (ADX Proxy)Weak (0.0)
Momentum Quality+0.000
Momentum BreadthNarrow
Macro Regime
Bull RegimeYes
High Vol RegimeNo
S&P 500 Return+25.0%
Yield Curve-0.1bp

Sector-Relative AnalysisIn-model features

Value Trap Signal
2%
Low risk
Sector RevGr Rank
P69
Revenue growth vs Technology peers
Sector PE Rank
P78
Valuation vs Technology peers
Sector FCF Rank
P8
Free cash flow vs Technology peers
Growth Deviation
+0.2σ
Z-score vs sector median
Stagnation Flag
NO
Not flagged

Analysis Signals

Scoring Factors
Fundamental score of 35 relative to sector peers35/100
Machine learning model ranks this stock at the 52th percentileP52
ML model weight reduced to 9% due to macro conditions: market in extended rally phase; yield curve inverted (recession indicator); late-cycle economic indicators detected9% ML weight
SHAP feature alignment: -1.2pt (features diverge from model priorities)—
Blend: 91% fund (35.1) + 9% ML (48.7) + SHAP(-1.2) = 35.1—
Factor quality: +0.4pt (multi-factor composite)—
Risk assessment: moderate. Annualized volatility 20.0%Moderate
Market cap adjustment: -20.0 points ($0.5B market cap)-20.0 pts
Divergence penalty: -0.9pt (ML 17pt higher)—
Risk Factors
Earnings quality grade C: mixed earnings quality, some red flags. Score adjusted by -10 pointsGrade C
Quality concern: Negative ROIC (-242.6%) with high ROE (192.2%) — capital structure distortion (possibly negative equity or one-time gain)Flag

Sector Peer Comparison(Technology — Rank #284 of 289 stocks)

StockScoreP/ERev GrowthMarginMkt Cap
OWLS12.9N/A18.3%-135.7%$496M
MPWR84.891.721.2%81.0%$57.1B
ZM84.218.03.1%21.7%$27.7B
NVDA80.645.2114.2%55.8%$4.5T
CRUS79.719.16.0%17.5%$7.4B
ASML77.848.115.6%29.4%$546.0B
IDCC77.431.8-4.0%48.8%$9.7B
CSCO77.127.65.3%18.0%$303.6B
RMBS75.548.320.7%32.3%$11.0B
DBX75.313.91.9%17.7%$6.4B
FSLR75.017.326.7%30.7%$24.2B
SIMO74.79.210.2%13.8%$4.5B
ADI74.374.116.9%20.6%$165.1B
AAPL72.533.16.4%27.0%$3.9T
OLED72.527.012.4%34.3%$5.9B
AMAT72.336.44.4%24.7%$281.7B
Sector Average47.487.814.8%-110.0%—

Market Sentimentvia FMP

No analyst sentiment data available for OWLS.

Company Overviewvia FMP

OBOOK Holdings Inc. operates as a blockchain technology company in United States, Japan, Singapore, Hong Kong, Malaysia and Thailand, as well as jurisdictions in South America and the EU. The company offers e-commerce, hospitality and payments offerings to businesses and individuals whose commercial activities involve cross-border transactions. The company's products include OwlTing Market, an e-commerce platform designed to connect local Taiwanese farmers and merchants with their customers; OwlTing Blockchain Services, a blockchain traceability solution that empowers organic farmers with transparency of their business and operations; OwlNest, a hotel property management system or PMS, that leverages blockchain technology to prevent double bookings; OwlJourney; an online travel agency, or OTA, platform that benefits from accurate real-time inventory; and OwlPay, an application programming interface, or API, based payment suite with secure, real-time and cost-effective one-stop payment solutions covering a range of services from payment gateway to business payout; and OwlPay Wallet Pro, a platform product that provides a hosted wallet for business customers and an unhosted wallet for individual users. The company mainly offers e-commerce and blockchain applications with services in global travel, food safety, social media platforms, global hotel bookings, and blockchain application services. OBOOK Holdings Inc. was founded in 2010 and is based in Taipei, Taiwan.

CEO
Chun-Kai Wang
Employees
199
Beta
-0.50
Industry
Software - Infrastructure
FMP-Identified Peers

Technical Picturecomputed from daily prices

RSI (14)
56.1
Neutral
Trend
Bearish
10-day vs 50-day MA
From 52W High
-93.3%
High: $90
From 52W Low
+17.5%
Low: $5.15
Moving Averages
10-Day
$5.80
Above
20-Day
$5.80
Above
50-Day
$6.20
Below
200-Day
N/A
60-Day Support
$5.15
60-Day Resistance
$8.75

Financial Statementslast 4 quarters via FMP

MetricQ4 2024
Revenue$2M
Gross Profit$217,900
Operating Income$-3M
Net Income$-3M
EPS (Diluted)$-0.05
Gross Margin11.0%
Operating Margin-137.5%
Net Margin-177.1%

Why This Stock

TechnologyRevenue growth 18.3%

Tradability FilterGrade F — 0/100Score impact: -22.8pt

Low Tradability Warning

This stock has limited trading volume and/or float. Institutional investors may face difficulty entering or exiting positions without significant price impact. A post-hoc penalty has been applied to the composite score (this is not a backtested model factor — it is a practical tradability overlay).

Volume
0
57K avg/day
Dollar Vol
0
$343K/day
Float
0
30M shares
Mkt Cap
0
$496M
Range
0
1646% spread
Composite Liquidity Score0/100
FDCBA
very low dollar volumelow volumesmall cap

Growth Projection Adjustment

0.7x dampening
weinstein basing

Growth estimates have been dampened based on technical and fundamental signals. This is a post-hoc adjustment to prevent overly optimistic projections for stocks showing declining momentum or deteriorating fundamentals.

Free Float
36.9%
Outstanding Shares
81M
Bid-Ask Spread
1646.0%
Institutional Tradable
No

Scores are generated by a multi-stage ML pipeline combining fundamental analysis, ensemble predictions, and structural risk signals. All data is for research purposes only and does not constitute financial advice. Past performance does not guarantee future results.