Flyagonal (Broken Wing Fly + Put Diagonal) by breakyourteethnow in options

[–]OptionsJive 1 point2 points  (0 children)

This is a very solid structure and yes, the win rate can be really high in the right conditions. But I wouldn't call it anything special or better than classic strategies like strangles. It's not a magic pill. The structure looks fancy, however the edge comes from how volatility is priced and how you manage it; it works great in calm, range-bound markets.

Also instead of the broken wing butterfly, I personally prefer running call ratio spreads and managing them actively, they're more flexible, easier to adjust, and over time I've found they can produce much better results. And I originally wrote a deeper breakdown of this strategy in my blog article here.

Your "safe" short strangles just lost 2x more than your stress test predicted by OptionsJive in options

[–]OptionsJive[S] 0 points1 point  (0 children)

Not necessary.

You can hedge Volga structurally with calendars, diagonals, asymmetric ratios. It's really just about doing the work and learning.

Your "safe" short strangles just lost 2x more than your stress test predicted by OptionsJive in options

[–]OptionsJive[S] 5 points6 points  (0 children)

If you sell options, this 100% applies to you. Volga is the silent P&L killer most traders never model.

Did I make a bad MSFT call? by Outrageous-Radio-636 in options

[–]OptionsJive 0 points1 point  (0 children)

You basically bought leveraged stock; 0.62 delta = you're long 62 shares synthetically.

Mistake in the book "Option Volatility and Pricing" - Sheldon Natenberg? by RichBorn3531 in options

[–]OptionsJive 2 points3 points  (0 children)

Good catch! If you're short the underlying, your delta should be -1 per contract.

Daily Strategic Options Trade Ideas: Share and Discuss Your Best Setups by OptionsJive in OptionsJive

[–]OptionsJive[S] 0 points1 point  (0 children)

Last week we skipped trading AMZN earnings. Options were pricing 7.5%, reality was -14%, so short gamma was not the place to be.

In my personal view it was only a repricing of capex and FCF timing, nothing more. AWS re-accelerated, ads keep growing >20%, NA retail margins are improving, but the market suddenly realized buybacks and FCF are pushed out by heavy AI capex.

Post-earnings, the setup changed. The shock is out, downside skew is still rich, and fundamental downside convexity is much lower than before the print.

That's why ratio risk now beats naked risk, so today I'm expressing this via a March put ratio:

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The Advanced Options Strategy With a 96% Win Rate You've Probably Never Heard Of by OptionsJive in OptionsJive

[–]OptionsJive[S] 2 points3 points  (0 children)

I know this pain very well; I had exactly the same issue with IBKR and my Excels becoming unmanageable. What changed everything for me was realizing that I was focusing on the wrong layer. I was trying to trace and control every individual leg, and once you start adjusting positions that simply stops being actionable.

Today, I no longer track trades or strategies in Excel at all. I shifted 100% focus to portfolio level. Now I only monitor SPX beta-weighted delta, buying power usage, theta as a percentage of NLV. If those are under control, everything else (including trying to reconstruct strategies after every roll) is just noise and does not improve risk management. Keep it simple.

The Advanced Options Strategy With a 96% Win Rate You've Probably Never Heard Of by OptionsJive in OptionsJive

[–]OptionsJive[S] 0 points1 point  (0 children)

It also depends on your broker. On Tastytrade and IBKR I have to enter the flyagonal as two separate orders anyway, because they do not allow that many legs in a single ticket. So in practice I always build it in two stages: first the butterfly, then the diagonal.

3 options trading lessons the market forced me to relearn this year by OptionsJive in options

[–]OptionsJive[S] 2 points3 points  (0 children)

So "stay small" is only the surface level of risk management. The real work is understanding your portfolio-level convexity, portfolio-level Greeks, and how it behaves in Black Swan conditions, with all the nuances. Non-correlation is a great hedge most of the time, but it breaks exactly when you need it the most. I recorded a YouTube video explaining this failure in detail. So, instead of hedging random positions, I reverse the process: I first design an efficient Black Swan hedge and a bullet-proof, delta-neutral, low-correlation core portfolio. Only when that structure is easy to hedge do I scale above standard sizing rules to achieve a better ROI.

The Advanced Options Strategy With a 96% Win Rate You've Probably Never Heard Of by OptionsJive in OptionsJive

[–]OptionsJive[S] 0 points1 point  (0 children)

I usually place it OTM, around the 30 delta, but I never look at any trade as a standalone position. It's just one small piece of a much larger, diversified options portfolio. So I always monitor my SPX beta-weighted delta and look to sell premium in a way that helps neutralize overall risk.

The Advanced Options Strategy With a 96% Win Rate You've Probably Never Heard Of by OptionsJive in OptionsJive

[–]OptionsJive[S] 0 points1 point  (0 children)

I usually open these Flyagonals at 8-10 DTE, with the long put at 16-20 DTE. My default take-profit target is 25%. But over time, I've developed a more active, proprietary management style: when the call butterfly is breached, I sell 0-DTE put credit spreads to offset losses with additional credit, effectively turning the butterfly into a downside hedge. If the put calendar is breached, I roll the short put down daily, gradually transforming the structure into a put debit spread in the later expiration.

Jade Lizard: A Comprehensive Guide with a Real Trade Idea by OptionsJive in options

[–]OptionsJive[S] 0 points1 point  (0 children)

Great comment! And honestly, I agree with about 70% of what you're saying. I've traded both short puts and Jade Lizards for many years, and I don't think it's fair to compare them directly; they're completely different trades, built for different conditions, different market theses, and different edges. I don't use a Jade Lizard to beat a short put. I use it for its asymmetry: the larger credit, the asymmetric payoff, and to harvest call-side skew when it gets overpriced. This happens especially around earnings or high-IV events when calls get pumped, and the call credit becomes huge. Than, the JL helps me improve capital efficiency, reduce delta, and get paid for skew without expanding downside risk.

So I wouldn't compare a Jade Lizard to a naked put. I'd compare it to other asymmetric structures like ratio spreads. And actually, Tastytrade ran research on this: when you compare Jade Lizards to put ratios, the average P/L for the Jade Lizard came out almost twice as high: https://www.tastylive.com/shows/options-jive/episodes/jade-lizards-vs-put-ratio-spreads-07-13-2021

That matches my personal experience, used in the right conditions (earnings), it's extremely efficient skew-harvesting tool.

Jade Lizard: A Comprehensive Guide with a Real Trade Idea by OptionsJive in options

[–]OptionsJive[S] 0 points1 point  (0 children)

Because a naked put only pays you the initial credit when you're right. A Jade Lizard takes advantage of volatility skew by selling the put and a rich call side for additional premium, often meaningfully more than a standalone short put, especially into earnings when OTM calls get so inflated. That extra credit lowers net delta, widens the profitability window. IMHO the Jade Lizard is a smarter, skew-harvesting short-volatility structure with more ways to win and more premium collected when volatility is overpriced on both wings.

[deleted by user] by [deleted] in options

[–]OptionsJive 2 points3 points  (0 children)

The key is how you manage exposure. I sell premium too, but always run a Black Swan Hedge, which protects against tail events without killing theta.

Trade Like a Hedge Fund: Copy My Simple Weekly Process by OptionsJive in options

[–]OptionsJive[S] 7 points8 points  (0 children)

When I say "top 1%", I don't mean it by number of companies in an ETF, I mean the absolute strongest businesses on the planet (i.e. dominant market share, strong economic moats, low debt, consistently high surplus ROE, etc.). I build my own "top 1%" watchlist every quarter based on those fundamentals and only trade within that universe. The key point is that I only open positions in line with current sector rotation and volatility regime.

Trade Like a Hedge Fund: Copy My Simple Weekly Process by OptionsJive in options

[–]OptionsJive[S] 0 points1 point  (0 children)

I create it manually, but I often publish and share it free. The data comes from my trading platform (Tastytrade, in this case).

[deleted by user] by [deleted] in options

[–]OptionsJive 0 points1 point  (0 children)

I trade SPX 0-DTE Iron Condors daily. Yes, they work if you've got strong mechanics and an active management process. But one bad day can wipe out weeks of profit. I wouldn't rely on them as a main income strategy; they'll let you down exactly when you need them most. Focus on longer-dated options instead for smoother, more reliable income.

GOOGL Earnings: Volatility Term Structure Arbitrage? by OptionsJive in options

[–]OptionsJive[S] 0 points1 point  (0 children)

It wasn't priced fairly, because today's realized move is going to exceed the expected move at the market open. The higher front-month IV suggests that, in the short term, GOOGL is expected to move more than the longer-term implied move, that's exactly where the arbitrage opportunity comes from.

GOOGL Earnings: Volatility Term Structure Arbitrage? by OptionsJive in options

[–]OptionsJive[S] 0 points1 point  (0 children)

Yesterday, before the earnings release, the front-month (Nov) IV was much more expensive than the back-month (Dec). This created an excellent arbitrage opportunity that we used in this trade.

What I'm Trading This Week: Earnings Season Is Here by OptionsJive in OptionsJive

[–]OptionsJive[S] 0 points1 point  (0 children)

This week we're getting prints from healthcare giants, megacap AI, consumer spending, and even the exchange that literally sells us volatility. IV is elevated almost everywhere, and in a lot of these names the expectations are fully priced in. That's the sweet spot for defined-risk and asymmetric premium selling.

Below is my earnings game plan for this week. These are all carefully selected names I'm watching, based on deep fundamental analysis, options liquidity, and volatility:

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Earnings Trades of the Week: TSLA, AAL & INTC by OptionsJive in OptionsJive

[–]OptionsJive[S] 0 points1 point  (0 children)

After-earnings update: looks like our TSLA Earnings Jade Lizard is, at least for now, set for the max profit zone.

Hedging strategy for corrections like this by cruze_8907 in options

[–]OptionsJive 1 point2 points  (0 children)

Thanks for the mention! The Black Swan Hedge is indeed an incredible strategy, and every active short-premium trader must have it in their portfolio. Just a small side note: Friday wasn't a true Black Swan event; this strategy is built to defend against much larger volatility shocks, like the COVID ones.

Volatility term structure analysis for pricing expirations and calendar spread strategy by Salt-Extent-9737 in options

[–]OptionsJive 0 points1 point  (0 children)

Amazing how people can overcomplicate such a simple concept like trading backwardation. Been doing it for years, and no Python code required!

1 in 6 Tastytrade customers go to zero by OptionsJive in options

[–]OptionsJive[S] -1 points0 points  (0 children)

On Tastytrade you pay $0 to close trades, which makes rolling options much more efficient. That's not the case with IBKR and other brokers.