This 8-Minute Video Shows When to Close a Jade Lizard: 10%, 25%, 75% or Never.

By tastylive

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Key Concepts

  • Jade Lizard: An options strategy consisting of a short put spread and a short naked call (or a wide call spread), designed to collect premium with a directional bias.
  • 7 DTE (Days to Expiration): The timeframe used for the study, focusing on short-term SPX options.
  • Management Mechanics: The rules governing when to exit a trade (profit targets vs. stop losses) to optimize P&L and capital efficiency.
  • Expected Move: A statistical calculation of the range an underlying asset is expected to trade within over a specific period.
  • GTC (Good 'Til Canceled): An order type that remains active until filled or manually canceled.
  • Mid-Price: The average of the bid and ask prices, used as the benchmark for trade execution in the study.

1. Study Parameters and Methodology

The study analyzed over three years of data on short-term SPX options using 7 DTE Jade Lizards. The researchers tested four distinct parameter sets, primarily varying the width of the spreads and their distance from the expected move:

  • Configuration A: $30-wide put spread / $10-wide call spread at the expected move.
  • Configuration B: $20-wide put spread / $5-wide call spread at the expected move.
  • Management Approach: Trades were monitored at the end of each trading day. On the day of expiration, monitoring increased to every 10 minutes.
  • Execution: All trades were assumed to be filled at the mid-price.

2. Management Mechanics: Profit Targets vs. Stop Losses

The discussion highlights the classic debate between taking quick profits and using stop losses to mitigate risk.

  • Profit Targets: While higher profit targets (e.g., 75%) yield higher per-trade returns, they require longer holding periods. The presenters argue that taking smaller, more frequent profits (e.g., 10%) can lead to higher overall capital efficiency by freeing up buying power for new trades.
  • Stop Losses: The study found that stop losses are "contentious" in premium selling. While they can prevent catastrophic losses, they often result in "costing you winners" and filling at poor prices. The data indicated that a 100% stop loss (closing the trade when the loss equals the initial credit received) was generally ineffective compared to "no management" (holding the trade).

3. Key Findings and Trade Analysis

  • The "No Management" Advantage: The study suggests that for 7 DTE Jade Lizards, simply holding the trade often yields better results than aggressive management. For example, "no management" resulted in an average P&L of $78 over 7 days.
  • Capital Efficiency: The presenters compared two risk profiles:
    • High Risk: $30-wide put / $10-wide call ($2,400 risk).
    • Lower Risk: $20-wide put / $5-wide call ($1,500 risk).
    • The lower-risk configuration collected between $4.50 and $5.00, offering a favorable risk-to-reward ratio for traders with smaller accounts.
  • The 10% Target Strategy: One presenter advocates for a 10% profit target, noting that if a trade hits 10% in 3 days, the capital can be redeployed immediately, potentially yielding higher cumulative returns than waiting 7 days for a larger profit.

4. Notable Quotes

  • "I would rather $80 in 3 days than $119 in 7 days. Because if you put on the trade, take it off in 3 days, and then you put on another one... you've got $160 in less than 7 days."Presenter (on capital velocity)
  • "Trading is a choose your own adventure."Presenter (on the subjectivity of management styles)

5. Synthesis and Conclusion

The core takeaway is that for short-term (7 DTE) Jade Lizards, the management strategy significantly impacts the "velocity" of capital. While waiting for larger profit targets or using stop losses are common practices, the data suggests that a disciplined, "no management" approach or a quick 10% profit-taking strategy provides the most consistent results. Traders are encouraged to monitor their positions at the end of each day rather than relying on automated GTC orders, allowing for flexibility based on market movement and the desire to recycle capital into new, high-probability setups.

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