position-sizing

Calculate risk-bounded position sizes using a binding-constraint sizing ladder.

1|Updated May 15, 2026
One-click install
npx skills add https://github.com/dnkrow/skill --skill position-sizing-dnkrow
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: position-sizing
Source: https://github.com/dnkrow/skill/tree/main/claude-global/position-sizing
Command: npx skills add https://github.com/dnkrow/skill --skill position-sizing-dnkrow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Position sizing prevents account-destroying overexposure by converting your trade inputs (entry, stop, volatility, liquidity, and edge) into a risk-bounded position size that can survive drawdowns.

Core Features & Use Cases

  • Fixed Fractional Sizing: Converts a chosen account risk percentage into position units using the stop distance.
  • Volatility-Adjusted Sizing: Normalizes exposure across assets by scaling by ATR/realized volatility.
  • Kelly Criterion (Fractional): Computes an edge-aware capital fraction using win rate and payoff ratio, with guidance to use fractional Kelly to reduce estimation risk.
  • Liquidity-Constrained Sizing: Caps size using AMM pool liquidity and slippage assumptions (important for Solana tokens).
  • Anti-Martingale Sizing: Adjusts size based on recent win/loss streaks to manage regime-change risk.

Use case example: A trader wants to place a Solana trade but must keep risk consistent across volatile tokens while also respecting pool slippage; this Skill provides a sizing ladder that selects the binding constraint (risk, volatility, Kelly, or liquidity).

Quick Start

Ask the skill to compute the next trade’s recommended position size using a sizing ladder that applies fixed fractional risk, volatility adjustment, fractional Kelly, and a liquidity/slippage cap from your pool depth.

Frequently Asked Questions about position-sizing

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

FAQPage Schema
How do I calculate position size using the Kelly criterion and volatility?▼

Position sizing using the Kelly criterion and volatility normalizes exposure by scaling capital fraction with win rate, payoff ratio, and ATR, yielding risk-bounded trade units that survive drawdowns.

What is the best way to size trades for Solana tokens without high AMM slippage?▼

Sizing Solana token trades without high AMM slippage requires calculating a liquidity-constrained cap based on pool depth, which limits position units to prevent excessive price impact during execution.

How do I determine the binding constraint for trade position sizing?▼

Determining the binding constraint for trade position sizing involves evaluating fixed fractional risk, volatility-adjusted exposure, fractional Kelly, and liquidity slippage caps to select the most restrictive calculated size.

Does position sizing work with both fixed fractional risk and anti-Martingale strategies?▼

Position sizing works with fixed fractional risk and anti-Martingale strategies by computing risk-bounded units from stop distance while adjusting capital allocation based on recent win or loss streaks.

Why use fractional Kelly criterion instead of full Kelly for trade sizing?▼

Using fractional Kelly criterion instead of full Kelly for trade sizing reduces estimation risk by applying a partial capital fraction, providing consistent downside control against inaccurate edge estimates.

Can I check portfolio-level constraints when calculating position size for new entries?▼

You can check portfolio-level constraints when calculating position size by applying a sizing ladder that evaluates aggregate risk exposure and liquidity limits to ensure new entries respect total portfolio boundaries.