bankroll

Run Monte Carlo simulations to project bankroll growth toward a $10K goal.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Liquilab/Bottie --skill bankroll
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: bankroll
Source: https://github.com/Liquilab/Bottie/tree/main/.claude/skills/bankroll
Command: npx skills add https://github.com/Liquilab/Bottie --skill bankroll

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Bankroll management for trading and investment projects, providing risk assessment, projection, and goal tracking to reach a $10K target.

Core Features & Use Cases

  • Monte Carlo risk of ruin analysis using realized P&L to estimate stability and growth.
  • Projecting compounding paths toward the $10K objective with configurable inputs (current bankroll, win rate, average win/loss).
  • Position sizing guidance and progress tracking to monitor portfolio progress against targets.
  • Clear reports combining current status, actionable steps, and assumptions for decision-making.

Quick Start

Ask the bankroll skill to display the current status and simulate projected growth toward the $10K goal.

Frequently Asked Questions about bankroll

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate risk of ruin for my trading portfolio?

Risk of ruin is calculated by applying Monte Carlo simulations to your realized P&L, win rate, and average wins/losses. This estimates the probability of depleting your bankroll and generates a reproducible projection report toward a $10K goal.

What inputs do I need to run a Monte Carlo simulation on my bankroll?

You need to provide explicit inputs including your current bankroll, win rate, and average win/loss sizes. These metrics compute position sizing, risk of ruin, and forward growth projections toward your $10K target.

How do I project compounding growth toward a $10K trading goal?

Compounding growth toward a $10K trading goal is projected by applying Monte Carlo simulations to your historical trading metrics. The simulation models forward growth paths and tracks portfolio progress against your target.

Can I get position sizing guidance based on my realized P&L?

Position sizing guidance is generated by analyzing your realized P&L alongside your win rate and average wins/losses. This determines optimal trade sizing to manage risk of ruin while progressing toward your $10K objective.

What is the best way to assess bankroll health for active trading?

Assessing bankroll health is best done by running Monte Carlo risk of ruin analysis on your realized P&L data. This evaluates portfolio stability, computes forward projections, and produces a report with actionable steps and explicit assumptions.