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2007issue C011-5

A butterfly reversal call when implied volatility sits near historical volatility

This archive case study records a completed bullish butterfly financed with slightly out-of-the-money calls only after implied volatility analysis sat close to historical volatility analysis. Editorial reading: treat the first Fibonacci retracement band as a rewrite checkpoint for a synthetic straddle, not as an automatic cash-out.

  • The archive specified a bullish butterfly as pivots X-A-B-C-D, with B and C ideally in the 38% to 78% retracement bands and D finishing below X, often near a 1.27 to 1.62 extension of X-A.
  • Monthly legs of about 7.5 months, a weekly doji at 21.36, and a March 20 daily hammer with a breakaway gap were treated as confirmation before daily execution near 21.35.
  • May 22.5 calls kept the same contract count at a smaller debit and were meant to stay open through earnings about a month later, with the 40% implied volatility on the 1.00 debit accepted because it sat near 90-day statistical volatility of about 39.50%.
  • Editorial reading: treat the 23.35 to 24.21 Fibonacci retracement band as a rewrite checkpoint for converting the directional debit into a synthetic straddle, not as an automatic cash-out.
Entries in this reading3 entries

The archive workflow

This archive case study records a completed bullish butterfly that was then financed with slightly out-of-the-money calls. Fibonacci retracement defined the pattern and the first resistance band. Implied volatility analysis was compared with historical volatility analysis before the debit was paid.

The butterfly on the monthly chart

A bullish butterfly is specified as five pivots, X-A-B-C-D. B and C sit ideally in the 38% to 78% retracement bands of the prior legs, and D finishes below X, often near a 1.27 to 1.62 extension of X-A.

On the monthly chart, legs X-A and C-D each spanned about 7.5 months. That similar duration was treated as time-symmetry confirmation of the butterfly.

Weekly and daily confirmation

A weekly doji near the D pivot at 21.36 was used as a lower-timeframe confirmation clue before the workflow shifted to the daily chart for execution.

A March 20 daily hammer low plus a breakaway gap was treated as confirmation that the weekly doji and the larger butterfly and double bottom were in place, with the stock near 21.35.

The May 22.5 calls

Slightly out-of-the-money May 22.5 calls were chosen over in-the-money calls so the same contract count carried a smaller cash debit while the weekly and monthly pattern was allowed time to develop.

The May expiry was selected because the next earnings release was about a month away. The option was intended to remain open through that event and remain adjustable afterward.

The implied-volatility checkpoint

With about 60 days to expiration, the roughly 40% implied volatility paid for the 1.00 debit was judged acceptable because it sat close to the stock’s 90-day statistical volatility of about 39.50%. That comparison is the historical volatility analysis check in the workflow, and it matched a rule to buy premium only when implied volatility is in line with or below realized volatility.

The first Fibonacci adjustment zone

Fibonacci projections from the February high to the March D low located a first resistance and adjustment zone of 23.35 to 24.21. That zone included the 50% and 62% retracements and a weekly downtrend line.

A double-price check showed the stock only needed to reach about 23.51 to 23.90, still inside the lower resistance zone, for the 1.00 debit to become 2.00. That overlap was treated as a reason the first target was also a logical place to later rewrite the call into a synthetic straddle.

Educational research material, not investment advice. Historical source context does not establish present-day performance.
18 of 31 in the Historical volatility analysis track
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All readings on this track · 31 readings
  1. 1985Putting listed option premiums in volatility-regime context
  2. 1988When volatility, not direction, selects the option spread
  3. 1988Path-aware volatility for option-replication cost
  4. 1989Option premium inside a volatility regime
  5. 1990Constructing consistent historical and implied volatility
  6. 1991Weekly close-to-close volatility as a horizon filter
  7. 1995A modified volatility construction for weeks-to-months regimes
  8. 1996Option smiles as a critique of constant volatility
  9. 1996Pairing short and long historical volatility for regime context
  10. 1998Normalized multi-horizon historical volatility construction
  11. 2001Park one options idea inside an implied and historical volatility regime
  12. 2002Constructing vertical spreads inside seasonal volatility regimes
  13. 2002Volatility regime context for option straddles
  14. 2003Option spread construction with volatility regime checks
  15. 2003Trend and volatility filters for option spread choice
  16. 2005Constructing vertical spreads inside volatility regimes
  17. 2006Implied volatility doubling as a commodity regime signal
  18. 2007A butterfly reversal call when implied volatility sits near historical volatility
  19. 2012Evaluate a broken-wing butterfly inside a volatility and premium regime
  20. 2012Regime-aware equity construction via carry and risk premium
  21. 2012True range overlays versus isolated bar context
  22. 2012Constructing regime context for option premium trades
  23. 2013Construct a ranked volatility switch before the trend filter fires
  24. 2013Combining Relative Strength Index, historical volatility, and Bollinger %b screens
  25. 2014A headline equity high is incomplete until the nominal-real spread is read
  26. 2015Daily implied volatility skew as a portfolio benchmark
  27. 2015Rebuild a volatility-skew template from size and slope
  28. 2015Evaluating concentrated winners with volatility and option premiums
  29. 2017Option book construction from implied volatility, historical volatility and premium
  30. 2018One-year volatility as the backdrop for short-horizon option trades
  31. 2019A low-volatility ETF sleeve inside a 2011 to 2019 market-regime case study
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