A Practical Workflow for Selling Expensive Volatility.
In this Volatility Corner session, Fabio and Ryan focused on one of the most important tools for options traders: Volatility Risk Premium, or VRP.
The goal was to show how traders can use VRP to identify when implied volatility is trading rich or cheap versus realized volatility, then combine that information with term structure, skew, key levels, and trade structure.
Ryan walked through a live institutional-style workflow using GLD as the main example, showing how a trader can move from screening to trade construction.
What Volatility Risk Premium Measures
[1:18 – 4:30]
Fabio began by explaining the basic definition of VRP.
Volatility Risk Premium measures the difference between implied volatility and historical volatility. In simple terms:
- Implied volatility tells us what the options market is pricing.
- Historical volatility tells us how much the asset has actually moved.
If implied volatility is much higher than historical volatility, options may be expensive. If implied volatility is much lower than historical volatility, options may be cheap.
Fabio used Tesla as an example. Tesla’s VRP was around 19%, meaning implied volatility was significantly higher than historical volatility.
The important point is that VRP must be placed in historical context. A number may look high or low, but traders need to compare it against where that asset’s VRP has traded in the past.
Why VRP Helps Traders Find Outliers
[4:37 – 6:33]
Ryan explained that traders are usually looking for outliers.
This is especially important for mean reversion traders, who look for situations where price, volatility, or positioning has moved too far from normal conditions. VRP helps identify these opportunities.
- A high VRP may suggest that implied volatility has become too expensive.
- A low VRP may suggest that implied volatility has become too cheap.
Ryan explained that traders generally fall into two categories:
- Mean reversion traders, who look for stretched conditions to reverse.
- Momentum traders, who look for early moves that may continue.
Either way, VRP helps show where the action is happening.
Starting With the VRP Screener
[7:10 – 9:06]
Ryan described the VRP screener as one of the best starting points for daily trade research.
The screener helps traders narrow a large universe into a smaller list of assets where volatility conditions are unusual.
Instead of trying to analyze every stock, ETF, or index, traders can start with the names where VRP is showing the largest outliers. Ryan highlighted several names on the screen, including SPX, QQQ, TLT, XLK, and GLD. GLD became the main focus because its volatility setup was especially interesting.
Why GLD Was the Key Example
[9:12 – 10:44]
Ryan moved into GLD to show how a trader can analyze a potential volatility trade.
The first step was checking whether GLD’s VRP was only a one-day outlier or part of a larger shift. The chart showed that GLD’s VRP had become elevated recently, especially as gold prices rallied sharply. That matters because the best opportunities often come when something changes quickly.
Ryan then checked whether the Q Score confirmed the signal. The Q Score was also elevated, which added confidence that GLD was worth deeper analysis.
Using Term Structure to Choose Trade Duration
[10:49 – 15:05]
After identifying GLD as a possible volatility sale, Ryan moved to the term structure.
Term structure shows implied volatility across different expirations. For Ryan, this chart helps answer one critical question:
Where should the trade be placed?
In the GLD example, shorter-dated volatility looked more attractive, possibly around the 7-to-10-day range.
However, Ryan also warned that volatility had already come down from its highs. That meant the trade was still interesting, but not necessarily a full-size entry. His approach was to scale into the position.
He called this a “sacrifice to the market gods,” meaning a trader may enter a small position first, expecting that the market could move against them before they add more.
The lesson:
- Do not wait forever for the perfect level.
- But do not enter full size too early either.
Why Skew Made Gold Interesting
[15:10 – 20:45]
The most important part of the GLD setup came from skew.
Ryan explained that gold historically tends to have call skew. That means upside calls often trade at higher implied volatility because gold can rally sharply during stress, fear, or safe-haven demand.
This is different from SPX, where puts are usually more expensive because investors buy downside protection. But in this case, GLD’s put skew had increased sharply.That was unusual.
It suggested the market was paying up for downside protection in gold, even though gold had rallied strongly. Ryan interpreted this as a sign that traders were worried the gold rally may not last.
This created a potential opportunity to sell rich downside volatility in GLD.
Turning the Thesis Into a Trade Structure
[20:53 – 23:01]
Once the thesis was clear, Ryan moved to trade construction.
The basic idea was:
- Gold volatility looked expensive.
- Put skew looked unusually rich.
- Gold had rallied strongly.
- The broader equity market was still firm.
This created a potential setup where selling GLD volatility could make sense.
Ryan discussed several possible structures, including:
Selling puts
Delta-hedged volatility strategies
Iron condors
Short volatility structures with defined risk
Ask QUIN to explain these structures.
He emphasized that this was not a trade recommendation, but an example of how an institutional trader thinks through the process.
Why Defined-Risk Structures Matter
[21:12 – 22:12]
Ryan highlighted the iron condor as one of the cleaner ways to express a short volatility view. An iron condor allows traders to sell premium while limiting extreme losses.
The structure usually involves selling an inner call spread and selling an inner put spread, while buying further out-of-the-money options for protection. The goal is to benefit if the asset remains within a range and volatility declines.
For retail traders, this matters because undefined-risk short volatility trades can become dangerous quickly. Defined-risk structures help traders survive when the market moves against them.
Using the Gold Futures Curve for Context
[23:06 – 26:24]
Ryan then looked at gold futures to explain the role of contango.
Gold’s futures curve was upward sloping, which is typical when a commodity is well supplied. This structure is called contango.
When a futures curve is in contango, a short futures position may earn positive carry as futures roll down the curve.
Ryan explained that this could make a short gold futures position attractive as part of a volatility trade, but he also warned that shorting commodities can be risky. Gold can rally sharply during crisis periods.
The point was not that traders should short gold. The point was that futures curves provide important context when building volatility trades.
Using Key Levels to Select Strikes
[26:37 – 29:35]
After analyzing VRP, term structure, skew, and the futures curve, Ryan moved to key levels.
For GLD, he looked at support zones around the 335 to 348 area.
These levels helped identify where a trader might consider selling puts if building a short volatility position.
Ryan warned against selling extremely far out-of-the-money “teeny” options just because they look safe. Selling tiny premium can be like picking up pennies in front of a steamroller.
His preference was to sell fewer options closer to meaningful levels, rather than selling too many cheap options far away from the market.
The Institutional Workflow: Step by Step
[30:05 – 35:38]
Ryan summarized the full workflow.
- Start with the screener.
- Use VRP and Q Score to find outliers.
- Check term structure.
- Use the volatility curve to decide expiration and risk.
- Analyze skew.
- Decide whether calls or puts are more attractive to sell or buy.
- Review key levels.
- Use support, resistance, gamma levels, and swing models to choose strikes.
- Size the trade with Greeks.
- Use Vega to understand how much money can be made or lost if implied volatility moves.
- This was one of the most important parts of the session.
Ryan explained that if a trader sells 10,000 Vega and implied volatility rises by three points, that trader can lose roughly $30,000 from volatility movement alone. This is why position sizing matters.
VRP can identify opportunity, but risk sizing determines survival.
When VRP Can Be Misleading
[38:46 – 46:23]
Ryan then explained one of the most important warnings about VRP. A high VRP does not automatically mean volatility should be sold.
There are three common reasons VRP can be high.
First, realized volatility may have been unusually low. In that case, implied volatility may look expensive, but the market may simply be refusing to price volatility too cheaply.
Second, there may be forced buying of volatility. This is the best short-volatility opportunity. If traders are scrambling to cover short options, implied volatility can rise too far and create a true dislocation.
Third, the market may be pricing a future event. Earnings, product launches, macro announcements, or company-specific catalysts can justify high implied volatility.
The best VRP trades come from identifying the second case: panic-driven volatility that may mean revert. The dangerous mistake is selling volatility just because VRP is high, without understanding why.
What Low VRP Can Signal
[43:31 – 46:23]
Ryan also explained the opposite case. A low VRP does not automatically mean traders should buy volatility.
Sometimes realized volatility was high because of a recent event, but the event has passed. In that case, implied volatility may look cheap versus realized volatility, but it can still be expensive in absolute terms. This is common after major events in commodity markets.
The better long-volatility opportunity appears when traders are dumping options too cheaply because the market has been calm. Ryan compared this to buying umbrellas when the sun is shining, then selling them when it rains.
Building an Iron Condor Example
[47:01 – 53:29]
Near the end of the session, Ryan built a live example of a GLD iron condor. The idea was to show how traders can express a short volatility view with defined risk.
Fabio explained that an iron condor is a four-leg options strategy that sells both call-side and put-side premium while buying protection further away.
Ryan walked through a structure using GLD options around the first week of November expiration.
The key takeaway was not the exact strike selection. It was the process:
Choose the asset.
Identify whether volatility is rich.
Use skew to decide where premium is most attractive.
Use key levels to choose strikes.
Use defined-risk structures to limit losses.
Understand the payoff profile before entering.
Conclusion
This Volatility Corner session showed how traders can use VRP as the starting point for a practical options workflow.
VRP helps identify where implied volatility is rich or cheap versus realized volatility. But it is only the first step. The real process combines:
VRP
Q Score
Term structure
Skew
Key levels
Futures curves
Vega
Defined-risk structures
Ryan’s GLD example showed how an institutional trader moves from an outlier signal to a structured trade thesis.
The most important lesson is that volatility data should not be used in isolation. A high VRP may be an opportunity. It may also be a warning. The edge comes from understanding the difference.