Institutional-Grade Research,
Retail-Friendly Access
Professional equity analysis for individual investors. No conflicts. No agenda. Just research.
Zero Conflicts
- • No brokerage business
- • Don't manage client funds
- • Don't trade stocks
- • Only revenue: subscriptions
→ Unbiased analysis
Institutional Frameworks
- • Disciplined analysis framework
- • Same forensic scrutiny
- • Bloomberg-verified data
- • Multiple valuation methods
→ Professional quality
Full Transparency
- • Every assumption documented
- • Methodology explained
- • Multiple scenarios shown
- • Historical archive maintained
→ Auditable logic
From Abundance to Clarity
The investment research landscape flipped overnight. Information went from scarce to infinite, from expensive to free, from time-consuming to instant. But more information doesn't mean better decisions—it often means the opposite.
More reading = edge
Access = advantage
Filtering = edge
Curation = advantage
"The shift from information scarcity to information abundance requires fundamentally different analytical approaches."
In high-volume information environments, competitive advantage derives from rigorous curation rather than consumption. Cognitive frameworks developed during periods of information scarcity require adjustment. Alpha Insights prioritizes comprehensive analysis over high-frequency publication—analytical quality over volume.
Ryan Lim
Buy-Side Equity Analyst | 7 Years Institutional Experience
Bottom-Up Fundamental Analysis
Advanced valuation methodologies: DCF, Options, Residual Income, Levered/unlevered beta, integration of Monte Carlo-driven randomness in forecasting
Top-Down Macro Framework
Credit cycle, macroeconomic signals, international monetary & trade policies, historical analysis of previous boom/bust cycles, changing world order through to the collapse of civilisation during the bronze age
Advanced Technical Analysis
Multi-modal toolkit: multiple moving averages, volume analysis, volatility contraction/expansion pivot points, multi-dimensional signal system, position sizing and management, portfolio management with controls on exposure risk.
My foray into the world of investments began almost 15 years ago, sparked by watching Gordon Gekko—played by Michael Douglas—in Wall Street: Money Never Sleeps. I knew little about finance then, but through the big screen, Douglas had already sold the dream to me.
Fast forward to today, nearly 15 years later. I've had the luxury to experience the many facets of financial markets. On one hand, my studies and career leaned heavily towards fundamental teachings. On the other hand, my curiosity drew me to the mystic arts of charting, opening my eyes to the world of technical analysis. About 6-7 years ago, I recognized a gap in my knowledge when it came to economics—to better understanding the underlying currents of tailwinds and headwinds in any given sector. I decided to put myself through a 3-month intensive program with a French portfolio manager running his own global macro fund, to establish a sound top-down macro strategy with a focus on tactical asset allocation.
Through years of experience across market cycles, I've observed that fundamental, macro, and technical methodologies each offer distinct advantages for portfolio outperformance. This recognition led to my current integrated analytical framework: Fundamental analysis establishes the analytical foundation, identifies knowledge gaps, and builds conviction to maintain positions through market volatility. Macro analysis provides broader market context, determines cycle positioning, navigates competing market forces, and refines analytical focus. Technical analysis optimizes entry and exit points, position duration, sizing decisions, and capital allocation efficiency.
The 5-Question Quality Test
Use this framework for ANY research source—including ours:
1. Can I understand how they reached this conclusion?
Good research shows its work. Opaque logic = extra caution.
2. Is there accountability if things go wrong?
Someone should have skin in the game. Anonymous sources remove consequence.
3. Does this challenge my assumptions or just confirm them?
Best research sometimes tells you what you don't want to hear.
4. What's the business model behind this information?
Understanding incentives helps you calibrate trust appropriately.
5. Could I explain this reasoning to someone else?
If you can't explain it, don't risk money on it.
This framework applies to all research sources, including our own analysis.
Understanding Our Incentives
Make money when you trade Incentive to get you excited enough to buy or sell
Data collection & engagement Maximize time spent, volume over verification
Research subscriptions represent sole revenue source Subscriber retention dependent on analytical quality. No trading commissions. No conflicts.
Different incentives create different outputs. You should know what drives your information sources.
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