Which Investing Legend Are You?
No textbook finance trivia. Step into 12 real market dilemmas to map your 9-dimensional investor mindset vector and discover your closest matches among 12 legendary masters.
12 Legendary Investor Archetypes
Covering deep value, global macro, contrarian arbitrage, quant edge, and endowment models
9 Mindset Dimensions Analyzed
Every question response attributes scores to two distinct cognitive dimensions
Business models, competitive moats, cash generation, and compounding
Inversion thinking, avoiding biases, and immune to crowd hysteria
Economic cycles, central bank liquidity, and global macro tides
Downside asymmetry, position discipline, and preventing capital loss
Intrinsic value calculation, deep margin of safety, and pricing gap
Statistical models, empirical backtesting, and systematic execution
Strategic portfolio diversification, non-correlation, and rebalancing
Unlocking catalysts, event-driven arbitrage, and high-asymmetry moves
Circle of competence, ruthless simplicity, and avoiding stupid mistakes
How to use
- 1 Read each of the 12 real-world investing scenarios reflecting market turbulence, policy moves, and valuation dilemmas.
- 2 Choose the option that most honestly reflects your personal mindset and decision instincts (no right or wrong answers).
- 3 Submit your choices to instantly compute your 9-dimensional mindset vector and discover your top 3 matching investing legends.
- 4 Explore your core strengths, potential cognitive blind spots, and master takeaways, or retake the test anytime.
Features
- 12 Real-World Dilemmas: Tailored scenarios covering market plunges, tech growth, policy easing, and macro cycle turns.
- 9-Dimensional Mindset Vector: Multi-factor scoring across business acumen, rational thinking, macro trends, value, risk, quant, allocation, catalyst, and simplicity.
- Cosine Similarity Matching: Mathematically grounded alignment with 12 iconic investor profiles (Buffett, Munger, Druckenmiller, Marks, and more).
- In-Depth Personality Dossier: Clear breakdown of top 3 matches, actionable strengths, cognitive blind spots, and master study recommendations.
- 100% Client-Side & Private: Zero backend transmission, no account required, completely anonymous, running strictly in your browser.
Frequently asked questions
Are the test results financial or investment advice?
No. Investor DNA is an educational and self-reflection framework designed to help you understand your cognitive decision-making tendencies and behavioral biases. It does not evaluate your financial net worth, trading skill, or recommend specific securities.
How does the similarity algorithm calculate my match?
Each of the 12 questions maps your choices to two distinct investment mindset dimensions. Once all 12 questions are answered, your 9-dimensional vector is compared against heuristic profile vectors of 12 iconic investors using cosine similarity, measuring directional alignment rather than raw score.
Does similarity mean I possess the same investing performance as the master?
No. High similarity indicates that your preferred decision heuristics, risk tolerance, and analytical angles closely mirror that investor's philosophical framework—not that you will achieve identical historical returns.
Are my answers or results uploaded or tracked?
Never. All scoring, vector math, and persona generation execute entirely client-side in your browser JavaScript memory. We do not store or transmit any of your quiz answers.
What does a 'mixed style' match indicate?
If your top 3 investor similarity scores are separated by less than 5%, the system highlights that your investing mindset possesses hybrid traits (e.g., combining Munger's rational multidisciplinary thinking with Swensen's asset allocation discipline).
Where does the investor data and philosophy models come from?
The investor frameworks, classic philosophies, and decision heuristics are sourced from the open-source Investment Masters archive (https://erpeng.github.io/investor-masters/investors/) and processed client-side for educational analysis.
Data Source & Reference
Investor profiles, philosophies, and heuristic models are sourced from the open-source Investment Masters archive: