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Is a Selloff Actually the Best Time to Sell Premium

NowPress play to follow along0:00 / 11:47
Chapters6 segments · tap to seek
ticker lesson

Breakdown

0:00lesson

Can selling premium after red day improve your odds

  • Study on statistical behavior and math behind selling premium after red day
  • Market can't be predicted but actions can be controlled
  • Gamblers fallacy: market doesn't have to rebound next day
  • Test on HPY 16 delta strangle 41 45 DT manage 21 DT
  • Measured 3500+ trades over 13 years
  • Parameters include pin rate, return on investment, premium corrector
1:53lesson

P&L trends during market selloffs

  • Average P&L increases as market drops
  • Volatility linked to SPX and VIX inverse relationship
  • Selling into selloffs pays due to IV expansion
  • Covid-19 impacted P&L significantly
  • Post-covid P&L increased due to more sellers
  • Win rate remains stable between 70-80%
3:53lesson

Why selling premium during selloffs pays

  • Premium corrected over buying power shows profitability
  • IV expansion creates more credit
  • Old trades show 4.6-5.2% returns
  • 3% down market corrects 10% over buying power
  • Buying power and premium change with undefined risk strategy
5:48lesson

Reversion and return on portfolio

  • Mini reversion works with 68-74% returns
  • 21-day period increases average return
  • Selloffs lead to deeper market red days
  • Bounce back with higher average returns
  • Second reason why selling premium pays
8:06lesson

Risks of increased trading during selloffs

  • Largest single loss increases with market selloffs
  • More trades mean more chance of loss
  • Sell-offs affect strangles and increase risk
  • No free meals or free trades
  • Losses increase with market depth
10:17lesson

Takeaways on selloffs and premium

  • Selloffs create better premium setups
  • IV spikes increase premiums
  • Short-term recovery helps put recovery
  • Win rates remain stable across market conditions
  • High opportunity comes with greater tail risk
  • Timing selloffs requires understanding market dynamics

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