All theses are evaluated through quantitative metrics and qualitative behavioral observations.
Investing Journal
TrackingGrowth & Risk
Documenting Aarav’s investment process, research decisions, risk assessments, and continuous learning as a student thinker.
Portfolio Scope & Status
This portfolio tracks a combination of simulated strategies and personal research methodologies for educational purposes. This distinction remains unmistakable and transparent across all reported metrics.
Portfolio Overview& Allocation
Last Updated: October 2026
Asset / Holding
Allocation
Purchase Date
Benchmark
Tech Infrastructure Growth
45%
Aug 15, 2026
S&P 500
Financial Services & Fintech
30%
Sep 01, 2026
S&P 500
Clean Energy Innovation
15%
Sep 10, 2026
S&P 500
Cash & Reserves
10%
-
-
Measurement Period: Q3 2026 – Present
Methodology: Percentage allocation tracking (Privacy protected)
Tech Infrastructure Growth
45%
Purchase Date:
Aug 15, 2026
Benchmark:
S&P 500
Financial Services & Fintech
30%
Purchase Date:
Sep 01, 2026
Benchmark:
S&P 500
Clean Energy Innovation
15%
Purchase Date:
Sep 10, 2026
Benchmark:
S&P 500
Cash & Reserves
10%
Purchase Date:
-
Benchmark:
-
Measurement Period: Q3 2026 – Present
Methodology: Percentage allocation tracking (Privacy protected)
Visualizing sector exposure and asset allocation balance.
Performance Context & Metrics
Performance is presented with full contextual data. Account values are omitted to protect personal privacy, focusing entirely on relative percentage metrics without celebratory distortion.
Measurement Period
Aug 2026 – Present
Active Tracking
Realized & Unrealized Returns
+8.4%
Simulated Status
Benchmark (S&P 500)
6.1%
Over Same Period
Capital Actions
No Dividends
Clean Baseline
Journal Entries &Deep Reflections
Structured Case Studies
October 12, 2026 Software Infrastructure
Case Study: Evaluating Software Infrastructure Resilience
What does the company or asset do?
Provides cloud infrastructure security solutions for digital-first enterprises.
Why was it interesting?
Their high recurring revenue model presented a solid defensive moat during market corrections.
What was the original thesis?
Enterprise cloud security spend will remain resilient despite macro economic slowdowns.
What evidence supported the decision?
Consistent net retention rates remaining above 115% quarter over quarter.
What were the largest risks?
Elevated valuation multiples and aggressive competition from mega-cap cloud ecosystems.
What happened afterward?
Growth met initial forecasts, though short-term margin compression appeared mid-quarter.
What did Aarav misunderstand or underestimate?
Customer acquisition costs (CAC) took longer to optimize than initially built into the model.
What would change his opinion?
A sustained drop in net retention or major enterprise churn.
What will he investigate next?
Free cash flow conversion efficiency relative to ongoing capital expenditures.
Research Process Note:
Disclaimer: This website documents a student’s learning and personal experience. It is not financial advice or a recommendation to buy or sell any investment.