position-sizer

You can calculate position sizes using fixed fractional, ATR-based, or Kelly Criterion methods. This Skill computes the optimal share count for long stock trades by applying your specified risk percentage and portfolio constraints like maximum position limits.

The best way to apply portfolio constraints is to input your maximum position percentage and sector concentration limits during the sizing calculation. This ensures your long stock trades adhere to your diversification rules and minimize drawdown risk.

ATR-based position sizing works by using the Average True Range to gauge market volatility and adjust the share quantity accordingly. This volatility-adjusted approach helps minimize drawdown risk by allocating fewer shares during highly volatile market conditions.

Yes, you need Python with the numpy and pandas libraries installed to calculate optimal trade sizes. These dependencies are required to process the fixed fractional, ATR-based, or Kelly Criterion calculations and apply portfolio constraints.

Yes, you can use the Kelly Criterion for long stock trades within a diversified portfolio. The Skill supports Kelly Criterion calculations alongside portfolio constraints like maximum position and sector percentage limits to optimize capital allocation and control drawdown risk.

A limitation of fixed fractional position sizing is that it applies a static risk percentage without dynamically adjusting for market volatility. Unlike ATR-based sizing, it may not adequately account for fluctuating market conditions when calculating share quantities for long stock trades.