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.