Micro Business + Diamond Hands

Monte Carlo Simulation Report

Simulations
3
Survival Rate
100%
Mean Price
$1.43
Mean Revenue
$262K
Decisions/Run
91.0
ROI Spread
18.42x
Exit Events
0
Timing Edge
+23.88x

Simulation Results: Micro Business + Diamond Hands

This analysis covers 3 simulations of a micro business model over 36 months.

Business Outcomes

Despite high revenue volatility, the micro business survived in 100% of cases. The square root pricing function helped dampen price swings during spiky revenue periods.

The significant gap between mean and median revenue indicates a right-skewed distribution with occasional extreme successes.

Participant Performance

ROI Rankings (Mean): (3 participants)
  • Early Adopter: 28.65x ██████████
  • Founder's Friend: 24.65x ██████████
  • Committed Holder: 18.33x ██████████

Behavior Analysis:

Diamond hands outperformed in this scenario, achieving 23.88x average ROI. Their refusal to exit captured full upside when the business succeeded.

Sample Narrative

So Zara started The Asset Shop back in Jan 2024, curating retro synth presets. They kicked off at around $2,289 a month—not bad for a side project.

Things got rough early though. Accidentally shipped the wrong product to a reviewer. Revenue tanked, and honestly? Most people would've given up right there.

But here's the crazy part: in Nov 2026, featured on Theo. We're talking a 12.4x spike. Zara literally thought the dashboard was broken at first.

Fast forward to today, and The Asset Shop has done over $582,483 in total revenue. Still pulling in about $233,740 a month. Zara's still running it, and the early believers who held on? They're doing just fine.

Economic Observations

The √S pricing function dampened business volatility to 19% price variation—achieving the design goal of bounded volatility while preserving price discovery.

Supply Floor (S_min = 1000): The minimum supply floor prevented price collapse in failure scenarios. Floor price: $0.25. No simulation reached the floor, indicating adequate supply cushion.

Exit Queue Mechanism: With high survival rate, exit queues typically cleared quickly. The FIFO queue processed exits from ongoing revenue without delays.

Key Findings

1. High survival rate rewards patience. Diamond hands and long-term holders outperformed reactive strategies in this scenario.

2. Early Adopter achieved highest returns (28.65x), while Committed Holder achieved lowest (18.33x).

Design Principle Check

Implication: For micro businesses with similar parameters, the token system creates meaningful value for early contributors.