Join Tom, Tony, and Dr. Data as they discuss Monte Carlo simulations to analyze optimal position sizing based on the Kelly Criterion formula. The study examined two defined-risk, 45-day strategies: $5-wide and $20-wide iron condors on a hypothetical $500 underlying with 16% volatility.

Starting with $50,000 portfolios, the research team tested allocating 1%, 5%, and 10% of available capital to each trade over simulated five-year periods. Results showed larger bet sizes produced better mean performance but increased risk of ruin.

The key finding of the study was that the riskier the trade, the more important it is to stay small. In efficient markets, Kelly suggests keeping individual trade sizes smaller while making more trades, confirming what many traders intuitively understand about position sizing.

Join Tom, Tony, and Dr. Data as they discuss Monte Carlo simulations to analyze optimal position sizing based on the Kelly Criterion formula. The study examined two defined-risk, 45-day strategies: $5-wide and $20-wide iron condors on a hypothetical $500 underlying with 16% volatility.

Starting with $50,000 portfolios, the research team tested allocating 1%, 5%, and 10% of available capital to each trade over simulated five-year periods. Results showed larger bet sizes produced better mean performance but increased risk of ruin.

The key finding of the study was that the riskier the trade, the more important it is to stay small. In efficient markets, Kelly suggests keeping individual trade sizes smaller while making more trades, confirming what many traders intuitively understand about position sizing.

The research analyzed how different delta selections impact profit timing in short strangles. While 5-delta strangles achieve 50% profit targets quicker with a 98% win rate, they only generate $18 average P&L compared to $77 for 40-delta positions.

The sweet spot appears to be in the 16-20 delta range, balancing profit potential with manageable risk. When implied volatility exceeds 30%, profits increase substantially across all delta ranges while win rates remain relatively stable.

This confirms the strategy of positioning in the 16-20 or more aggressive of 20-25 delta range and increasing position size during high volatility environments for optimal risk-adjusted returns.