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.