How It Works

Systematic research. Transparent assumptions. No agenda but accuracy.

400+ Companies
24-48 Hour Updates
Peer Reviewed
What You Receive

For every company in our coverage:

Executive Summary

Condensed investment case overview

Investment Thesis

Analytical perspective on valuation and positioning

Financial Analysis

Revenue trends, margin analysis, cash flow generation

Valuation Models

DCF, trading multiples, bull/base/bear scenarios

Risk Assessment

Probability-weighted risk factor analysis

Investor Profiles

Tailored perspectives for income, value, growth, quality investors

Key Assumptions

Complete documentation of growth projections and margin expectations

Metrics Dashboard

8-factor scoring: Growth, Income, Quality, Efficiency, Health, Moat, Risk, Valuation

Browse research coverage

AI + Human: The Right Balance

AI Processing

  • • Document processing and data extraction
  • • Financial modelling and ratio calculation
  • • Pattern recognition across historical data
  • • Scalable analytical throughput

Analyst Review

  • • Interpretation and contextual analysis
  • • Industry knowledge application
  • • Materiality assessment and prioritization
  • • Accountability for analytical conclusions

Limitations of Automated Analysis

AI systems lack epistemic awareness and cannot calibrate confidence intervals based on situational precedent. Automated outputs maintain consistent formatting regardless of underlying analytical uncertainty. All conclusions undergo human review to ensure appropriate context and judgment application.

Real-World Example
Automated Output

"Revenue growth strong"

Factually accurate

Analytical Insight

"Growth entirely from price increases (+12%), not volume (-4%). Margins inflated by one-time cost savings. Mean reversion likely."

Actionable intelligence

How Reports Are Created

Five-step systematic process for every company

1

Data Collection

  • • Company filings (annual reports, quarterlies)
  • • Bloomberg-verified market data
  • • Industry reports & competitive analysis
  • • Management commentary and guidance
↓ AI Processing
2

AI Analysis

  • • Financial modelling (DCF, trading multiples)
  • • Historical pattern recognition
  • • Peer comparison analysis
  • • Risk factor identification
↓ Human Review
3

Analyst Verification

  • • Human verification of AI-generated outputs, by a professional equity research analyst
  • • Assumptions tested against fundamentals
  • • Industry context applied
  • • Devil's advocate challenges
  • • Logic coherence check
↓ Quality Check
4

Multi-Method Validation

  • • DCF cross-checked with trading multiples
  • • ROIC tested against WACC
  • • Terminal value capped (<50% of DCF)
  • • Scenario analysis (bull/base/bear)
↓ Publication
5

Delivery & Updates

  • • Report published to member portal
  • • Typically updated within 24 hours
  • • Historical versions archived
  • • Comparative analysis added for major announcements
A balance of depth and speed.

Analysis Depth vs. Publication Speed

Many platforms publish within one hour of announcements. Rapid publication typically involves:

"Company X reported earnings. Revenue up 5%. EPS beat estimates by 2%. Stock trading up 3%."

Such updates constitute event reporting rather than analytical reprocessing. Information available through financial press.

We take 24-48 hours because we're:

  • Reprocessing the entire DCF model with new financials
  • Updating every assumption based on management commentary
  • Revising valuation across all methods (DCF, multiples, scenarios)
  • Testing implications for forward outlook
  • Writing analysis you can actually use
Fast Update (1 hour)
  • "Revenue up 5%"
  • "Beat EPS estimates"
  • "Stock trading $52"
  • Surface-level reporting
Complete Analysis (24-48 hours)
  • Revenue up 5%, driven by price (+12%), not volume (-4%)
  • Margin expansion temporary from one-time cost savings
  • Updated DCF: normalized margins return to 28% from 32%
  • Valuation: $52 → $48 target. Buy → Hold
  • Portfolio implications and strategic assessment

Comprehensive analysis provides greater value than high-frequency event notifications

Publication speed must be balanced against analytical completeness.

Example Timeline

April 26, 9:00 AM: ResMed reports Q3 results
April 28, 5:00 PM: Full updated RMD analysis published—with revised DCF, updated assumptions, and new valuation

Research Coverage

Primary Coverage

400+

ASX-Listed Stocks

  • • All ASX 200 companies
  • • Select small/mid caps
  • • Updated quarterly minimum
  • • Material events trigger immediate updates

International Expansion

US, Asia, Europe

  • • Amazon, Alphabet (US Tech)
  • • Xiaomi (China)
  • • Select Japanese exporters
  • • European industrials
  • Growing library, same standards
Where Our Data Comes From

Bloomberg Terminal

All financial data validated against Bloomberg terminal—institutional standard utilized by professional fund managers globally.

Company Filings

Annual reports, quarterly results, and investor presentations sourced directly from ASX announcements and corporate investor relations. Primary source documentation.

Industry Research

IBIS World, industry associations, and regulatory bodies provide competitive dynamics and market structure context.

Market Data

Price history, volume, and shareholding patterns validated across multiple sources for accuracy.

All published data undergoes verification protocols. Assumptions are documented with supporting rationale.

Why Not Just Use...

Broker Research?

Their Model
  • ✗ Conflicts (they sell stocks)
  • ✗ Optimistic bias (few sells)
  • ✗ Limited coverage (profitable clients)
  • ✗ Black box assumptions
vs
Our Model
  • ✓ No conflicts (only revenue = research)
  • ✓ Unbiased (show the range)
  • ✓ Wide coverage (400+ stocks)
  • ✓ Transparent assumptions

AI Research Tools?

Pure AI
  • ✗ Generic commentary lacking specificity
  • ✗ No analyst oversight
  • ✗ Limited analytical depth
  • ✗ No named accountability
vs
AI + Human
  • ✓ Analyst-verified every report
  • ✓ Deep fundamental analysis
  • ✓ Named analyst (Ryan Lim)
  • ✓ Track record published

Basic Screeners?

Screeners
  • ✗ Just numbers (no context)
  • ✗ No forward-looking analysis
  • ✗ No valuation work
  • ✗ No risk assessment
vs
Full Research
  • ✓ Full narrative context
  • ✓ DCF models & forecasts
  • ✓ Multiple valuation methods
  • ✓ Comprehensive risk analysis

Ready to See for Yourself?

Browse sample reports. Check our assumptions. Audit our methodology. Then decide if it's worth $450/year.

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