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The Mar-a-Lago Accords

“Good investing doesn’t come from buying good things, but from buying things well.” – Howard Marks

There is a lot of noise—it’s exhausting. Today, we will sift through the noise and focus on how we can protect and potentially grow our portfolios this year. This is a follow-up to our Market Tremors letter. But first, let’s clarify the context for our approach. This is a long newsletter, so you may have to view it in another window.


Inflation is back in focus, gold is soaring, and investors are optimistic about stocks. Correlations remain low, dispersion is high, and the market’s volatility pricing/positioning obscures potential risks lurking beneath the surface. The macro landscape is shifting rapidly, yet when we zoom out, we’re confronted with something we’ve discussed before: inflation is here to stay!

For a long time, the expectation was that inflation would take a particular shape—a transitory spike and a manageable trend. Instead, structurally, we’re dealing with a world that is moving away from the low-inflation paradigms of the past. The pillars supporting cheap capital and abundant liquidity—globalization and dovish monetary policy—are shifting.

These shifts are neither sudden nor unexpected. In 2023, we wrote much about the narrative of the ideological struggle between the West and East, particularly with the Russia-Ukraine conflict sparking. Historically, whenever Eastern economies prosper, the West adjusts the rules. Now, it’s more about who controls what. Control over assets, inflation, and interest rates define economic power. Folks like Zoltan Pozsar have warned that the fundamental drivers of the low-inflation era—globalization and financialization—are unraveling, leaving policymakers with little choice.

The well-respected Kai Volatility’s Cem Karsan, a mentor to many, has pointed out in excruciating, albeit digestible detail that the trends favoring high-beta portfolios over the past four decades are reversing. Monetary authorities, particularly the Federal Reserve, have been constrained in their ability to address the widening wealth divide. Their response to inflation in the early 2020s—from creating demand to absorb surplus supplies of low-priced items to structurally restricting demand in response to shortages—was intended to guide the economy along a path of managed declines in activity while maneuvering interest rates to prevent another inflationary flare. Rising populism is a byproduct manifesting as shifts in public demand and political sentiment.

Thus, today’s Mar-a-Lago Accords and the broader economic overhaul signify a significant trade, monetary policy, and financial stability restructuring. Tariffs, a U.S. sovereign wealth fund, and global security restructuring are the key issues at this forefront. The implications of this shift are profound, and markets have yet to adjust. A portfolio for this new environment could creatively layer exposure to stocks, bonds, commodities, and volatility. Understanding the pieces herein will be critical for structuring trades and managing risk. Let’s dive in.


Macro Context: A New Economic Framework

#1 – Tariffs

One significant component of this broader economic overhaul is tariffs. Economist Stephen Miran, nominated by the U.S. President to be Chairman of the Council of Economic Advisers, has outlined how tariffs, historically used to influence trade flows, are being retooled as protectionist instruments and an alternative revenue source.

According to Miran’s A User’s Guide to Restructuring the Global Trading System and fantastic explanations by Bianco Research founder Jim Bianco, a core issue is a persistently strong dollar distorting global trade balances. If paired with currency adjustments, tariffs could redistribute the costs away from U.S. consumers, “present[ing] minimal inflationary or otherwise adverse side effects, consistent with the [U.S.-China trade war] experience in 2018-2019.” However, this approach risks retaliation or distancing from key trading partners, further fracturing global supply chains.

To mitigate these risks, policymakers consider implementing tariffs in phases, gradually increasing rates to address inflationary pressures and market volatility. Even during the 2018-2019 trade war, tariff rate increases were implemented over time. Additionally, tariffs will be driven by national security concerns, targeting industries essential to defense and technological innovation. From this perspective, policymakers view access to the U.S. market as a privilege.

#2 – Sovereign Wealth Fund

A significant consideration is a U.S. sovereign wealth fund leaning on undervalued national assets to restore fiscal stability. Unlike traditional sovereign wealth funds built on surpluses, this fund would operate by revaluing and monetizing domestic reserves.

Key assets under consideration include undervalued gold reserves and billions in government-possessed bitcoin, which could be integrated into this fund. Bianco says these could total nearly $1 trillion.

This strategy introduces volatility concerns. Those concerned say government exposure and potential speculation on financial assets could lead to instability. Should we invest now for later?

#3 – Global Security Agreements

Beyond trade and monetary policy, a core element of the broader economic overhaul is linking military alliances to economic policy. The longstanding framework in which the U.S. provided security to allies without direct compensation is being rethought. The warnings are explicit; note the President’s Davos remarks and the Vice President’s Munich Security Conference speech.

Under a new paradigm, Bianco summarizes that NATO members may be required to contribute more to defense (say ~5% of GDP), foreign-held U.S. Treasury bonds may be converted into 100-year zero-coupon bonds, reducing short-term debt burdens, and tariff structures may be adjusted based on a country’s alignment with U.S. security interests.

“What Miran said in his paper is: you owe us so much for the last 80 years that what we want to do is a debt swap,” Bianco explains how the U.S. can be paid for being the world’s protector. “Those NATO countries have trillions of dollars of debt. [You’ll] swap it for 100-year or perpetual zero coupon non-marketable Treasury securit[ies]. So, you’re going to swap $10 billion worth of Treasuries for a $10 billion coupon century bond [that] won’t mature for 100 years, [and] won’t get any interest.”

In short, this is a fundamental shift that requires allies to bear a more significant share of security and costs. It’s the Mar-a-Lago Accords, a new financial order and policy framework akin to past agreements that reshaped the global economy, such as the Bretton Woods Agreement of 1944, which established the U.S. dollar as the international reserve currency, and the Plaza Accord of 1985, which coordinated currency adjustments to correct trade imbalances.

The proposed Mar-a-Lago Accords aim to reprice U.S. debt through asset monetization, weaken the dollar to improve U.S. export competitiveness and enforce tariff structures to rebalance global trade.


Positioning Context: Market Positioning Obscures

Tariff-driven price pressures, a weaker dollar, and a floor under interest rates raise bond yields, corporate borrowing costs, and strain leveraged players. This backdrop favors debasement plays and perceived safe havens like bitcoin and gold, which have been climbing for reasons discussed in the past and present.

Graphic: Retrieved from Bloomberg via @convertbond.

Equities face a less promising outlook. Oaktree Capital highlights that decade-long returns have historically been lackluster when investors bought the S&P 500 at today’s multiples. As Howard Marks puts it, earning +/-2% annually isn’t disastrous—but the real risk lies in a sharp valuation reset, compressed into just a few years, much like the brutal selloffs of the 1970s and 2000s.

Graphic: Retrieved from Bloomberg via Bob Elliott.

While the current market environment may feel frothy, with stretched valuations and narrow leadership, we’re not in an imbalanced 1970s scenario. Also, the possibility of a dollar devaluation serves as a tailwind for S&P 500 earnings, potentially boosting stock prices, Fallacy Alarm explains. Markets are not irrational; instead, they could face modest returns of around 5-6% annually for stocks and bonds over the next decade. Such sanguine sentiment is evident in the options/volatility market, reflecting the distribution of future possible outcomes; the trading and hedging of options make them a robust gauge of future outcomes—offering a view of where markets stand and where they might be headed.

Graphic: Retrieved from Bank of America via Bloomberg.

We observe several key happenings:

#1 – Hedging Volatility Spikes, Not Market Crashes

Investors are hedging against potential volatility spikes like those seen on August 5, 2024, when the VIX exploded higher. While the S&P 500 grinds upward and the VIX drifts lower and appears cheap (<16), the VVIX—“VIX of the VIX”—remains elevated. This unusual divergence manifests from demand for VIX calls, suggesting the market worries sharp repricings of risk are more likely than broad equity selloffs. The dynamic boils down to supply and demand; SPX options remain underappreciated—why protect when the market seems stable—meanwhile, VIX options are in demand, bolstering VVIX.

SpotGamma highlights this massive VIX call buying, noting dealer short convexity positioning suggests that, should volatility “wake up,” there could be significant downside pressure on equities and upside pressure on volatility, reinforcing the view that the VVIX’s elevated levels could signal a potential volatility spike, rather than a broad market crash.

Graphic: Retrieved from Cboe Global Markets.

“The aforementioned vega supply is indeed large, but it is innocuous unless provoked,” SpotGamma’s founder Brent Kochuba explains. Still, “with correlation stretched and IVs at lows, there is the potential for an SPX index short vol cover/single stock spasm to push into this upside vega convexity – something that we think a sharp NVDA [earnings] miss could spark.”

Graphic: Retrieved from Nomura via SpotGamma.

#2 – Options Selling and the ‘Buy My Course’ Gurus

Investors are leaning toward short-dated options selling (sometimes packaged within an ETF structure, without regard for price and thoroughly assessing broader market positioning) and structured products.

Graphic: Retrieved from JPMorgan via @jaredhstocks.

As QVR Advisors’ Benn Eifert explains, dynamic creates opportunity: deep out-of-the-money, long-dated volatility in single stocks looks attractive for tail-risk hedging. But there’s a catch—the persistence of this activity reinforces spot-vol covariance (i.e., the relationship between the underlying movements or spot and its volatility or vol). If the market shifts and volatility rises as the underlying asset moves up/down (the usual pattern flips), long volatility positions could become highly profitable, as it is then they would benefit from this reversal in spot-vol dynamics (e.g., 2020).

Graphic: Retrieved from Bloomberg via Kris Sidial. Volatility is fair in indexes; “much better opportunities in singles right now.”

As SpotGamma elaborated, if strength through earnings persists, “it will supply a final equity vol and correlation drop (a ‘final vol squeeze’), ushering in a blow-off equity top. At the same time, these metrics are low enough to justify owning 3-6 month downside protection, as bad things usually happen from these vol levels.”

Graphic: Correlation via TradingView. Stocks are expected to move more independently. Peep the pre-2018 Volmageddon levels.

As an aside, implied correlation measures the degree to which the prices of the assets in the basket are expected to move together (positively correlated) or in opposite directions (negatively correlated). Low correlation, in this case, indicates that the stocks are expected to move independently or in opposite directions; hence, dispersion trades betting on this have performed well.

Graphic: Retrieved from Cboe Global Markets.

#4 – The Changing Narrative of Bitcoin and Its Maximalists

Similar patterns emerge in bitcoin. As countries face currency debasement and economic stresses, bitcoin stands out as a hedge to some. Like equities, bitcoin options are underappreciated.

For example, implied volatility has traded under 50% for one-month options, representing an attractive entry point for those looking to position themselves for a surge. This low volatility environment in Bitcoin mirrors the opportunities in equities. Here, bitcoin benefits from any volatility reversal, presenting a compelling case for those looking to participate in a big market move.

Graphic: Retrieved from SpotGamma. Higher skew and IV rank suggest calls are expensive and moves are stretched.

Context Applied: Trade Structuring

Trade structuring this year is all about creativity. We’ve added the following to our portfolios.

#1 – Rates

One efficient structure for safeguarding cash is the box spread, which offers several key benefits: a convenience yield, capital efficiency (especially for users of portfolio margin), easy execution via most retail brokers, and favorable tax treatment—60% long-term and 40% short-term if executed using cash-settled index options (e.g., SPX). This strategy combines a bull call spread and a bear put spread, matching lower and higher strikes and the same expiration date.

We frequently trade such structures. For instance, here’s one we purchased at the beginning of this year: BOT +1 IRON CONDOR SPX 100 (Quarterlys) 31 DEC 25 4000/7100/7100/4000 CALL/PUT @2964.25 CBOE

In this case, we invest $296,425 now to receive $310,000 in a year. This represents an implied interest rate of 5.32% or ((3100-2964.25)/2964.25)*(365/314)=0.053234. Note that there is a convenience yield, and that’s due to counterparty risk, as box spreads depend on the Options Clearing Corporation (OCC) to guarantee the transaction.

Tools like boxtrades.com help with tracking yields and finding attractive box structures.

Graphic: Retrieved via Alpha Architect.

Box trades unlock the power of yield stacking, enhancing returns by layering multiple exposures without increasing capital outlay. They preserve full buying power with portfolio margin for margin-intensive trades like synthetic longs.

For non-portfolio margin traders, yield stacking is less applicable. Instead, you can allocate ~95% of cash to box spreads, locking in your principal at maturity while risking only ~5% (the interest you stand to make), with limited downside.

Graphic: Retrieved from Cboe Global Markets.

#2 – Upside

Low correlation and subdued implied volatility signal stability, but any disruption could spark sharp moves.

As we explained better in Reality Is Path-Dependent, Cem Karsan notes that a slow grind higher cheapens options, fueled by continued volatility selling. Eventually, realized upside volatility will surpass implied, prompting smart money to buy options at these discounts. If the VIX holds steady or rises, it suggests fixed-strike volatility is creeping up, potentially forcing options counterparties to cut exposure or hedge, boosting markets higher; increased call demand could push counterparties to hedge by buying the underlying asset, reinforcing stability and giving a floor to options prices and the market by that token.

The play here? Replace stock exposure with options. You can buy calls outright and hedge them by selling stock—gains on the calls should outpace hedge losses. Karsan has talked about this a lot. One of our moves is to structure broken-wing butterflies or similar: buy an option near the money, sell a larger number of options further out, and cap risk with an even farther out option. In this environment, you can often put on these trades for little cost and exit at multiples higher if the market drifts sideways or up. Please see our website for case studies and example trades.

Don’t overlook crypto, either. Implied volatility remains underappreciated in bitcoin, making synthetic exposures compelling. Swapping spot for synthetic alternatives is a play on these opportunities. Though we haven’t touched them, check out Cboe’s cash-settled options on spot bitcoin: the Cboe Bitcoin US ETF Index (CBTX) and Cboe Mini Bitcoin US ETF Index (MBTX).

#3 – Hedging

Though less attractive now, VIX calls and call spreads remain a powerful tool for hedging tail risks. In our Reality Is Path-Dependent letter, we explore this topic further.

There are more compelling structures within the S&P 500 complex, particularly back spreads. For example, a put back spread involves selling a higher strike put option and buying a larger number of lower strike put options, positioning you to profit from substantial volatility shifts—similar to what we saw on August 5, 2024.

Although this structure takes advantage of the market’s unappealing volatility skew, drift presents challenges; if volatility fails to perform well during a downturn, you risk losing more money than you initially invested in the spread. Caution!

Graphic: Retrieved from Bloomberg via Goldman Sachs.

Bonus: From the White House to Wall Street

We had the opportunity to catch up with Steven Orr, founder of Quasar Markets. We discussed his career and the future of fintech and trading technology. Before Quasar Markets, Orr worked as an executive at Money.net and Benzinga. He also serves on the board of the American Blockchain and Cryptocurrency Association. His diverse background includes positions with the White House, the U.S. State Department, the PGA Tour, the NBA, and various professional sports leagues. Orr frequently shares his insights on TV and appears at events like the World Economic Forum. Check it out, and thank you, Steven!


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Categories
Results

Alpha Drop

Hedge fund week just wrapped up here in Miami, and I had the chance to catch up with some industry friends like fellow Croatian and former podcast guest Vuk Vukovic. A big shoutout to Vuk and the incredible success of Oraclum Capital, his NYC-based hedge fund! Beyond motivation, these conversations always get us thinking—about how far we’ve come, the lessons learned, and the market patterns emerging. So, today, we’re switching things up a bit.

Breaking Down Thinking vs. Acting in Real-Time

These newsletters often dive deeply into trade theory—how to form opinions, identify dislocations, and structure trades to take advantage of them. Thinking critically about market context is just as important, if not more so, than taking action, as outlined in the case study linked here. But let’s be honest: we don’t always have the luxury of testing every idea before committing capital. Sometimes, decisions must be made on the spot, and more often than not, they’re more straightforward than they appear—they have to be.

To illustrate this, I share a slightly refined diary entry from a year ago, offering reflection and motivation. Market highs, uncertainty, and the fear of missing out create a lot of noise—but they also spark new ways of thinking. I hope this record and perspective spark new ideas on when and how to engage in markets this year ahead.

Take your time, enjoy the read, and try to focus on the bigger picture rather than getting lost in the details. Stay tuned for upcoming podcasts, explainers, and part two of the Market Tremors newsletter. Cheers, and let’s make some money.


On February 16, 2024, my trading partner Justin pointed out a rich, elevated call skew in Super Micro Computer Inc. (NASDAQ: SMCI). This occurs when out-of-the-money call options carry higher implied volatility than at-the-money or in-the-money options, often signaling strong demand for upside exposure. At that point, SMCI had been climbing steadily for weeks, with the charts suggesting a parabolic advance and an imminent climax.

I spotted 200-wide 1×2 ratio spreads that could be opened for credit. Simply put, a ratio spread is an options structure in which you buy a contract at one strike and sell two (or more) at another, further away. I often use such a structure when volatility is more steeply skewed, meaning certain strikes—like deep out-of-the-money (OTM) calls—have much higher implied volatility (IV) because traders expect more risk or extreme moves in that direction.

IV is the amount of movement traders anticipate. A higher IV means the market expects more significant price swings, leading to more expensive options, while a lower IV suggests less expected movement, making options cheaper—factors like earnings reports, economic data, or overall market uncertainty influence IV.

In this case, using Schwab’s thinkorswim lookback feature, implied volatility on the call side ranged from the mid-100s near the current market price to over 200% at the furthest strike. On the put side, things got even wilder—volatility climbed from the mid-100s near the market price to several hundred percent at the farthest strike, as pictured below. When volatility is this high in far-out-of-the-money options, traders are piling in—either looking for protection or betting on a big, unexpected move.

As the stock was pulled back from its highs, we observed that the excitement in call-side volatility had begun to diminish—it wasn’t as intense as it had been a month earlier, according to SpotGamma data. This served as a key signal for us. A declining enthusiasm for calls indicates that traders are less inclined to chase the stock higher. We were prepared to act on this shift, betting that the stock had reached an interim peak; this was great news for us, as our options structures tend to perform best when volatility stabilizes and the stock drifts rather than making significant, protracted moves.

Right after the market opened, the 23 FEB 24 1300/1500 spread flipped from a 0.50 debit to over a 1.00 credit to open. I didn’t catch it right at the start, but about an hour later, I spotted the opportunity. The pricing looked solid—it offered a credit to close at the money—and everything checked out risk-wise according to my rules. So, I decided to dip my toes in with five units, keeping it on the smaller side for this trade. This all went down on February 16.

SOLD -1 1/2 BACKRATIO SMCI 100 (Weeklys) 23 FEB 24 1300/1500 CALL @1.10

All else equal, if the trade were entirely in the money (ITM), meaning the short strikes are right around the current market price, it would price for about 40.00 credit to close. At the money (ATM), right around the current market price, the structures traded for around 12.00 credit to close. This quick check suggests we’re good to move forward. Here are the orders for one account. You can find a summary screenshot of all orders at the end of this letter.

Given the risk involved in this trade, the abovementioned account could take on a maximum of 8 units. As we’ll see later in this entry, I pushed those limits, possibly going beyond what’s typical for me. However, I justified this by considering the distance between the stock price and the strikes used in the trades, which felt like a safe cushion to work with.

$320,000 (Net Liquidation Value) / $38,000 (Daily Loss at +1 EPR if the Spread’s Long Strike is ATM) = 8.4 units. EPR represents the brokerage firm’s estimate of the maximum expected one-day price range for an underlying security. Net Liquidation Value refers to the total value of a portfolio if all positions were liquidated at current market prices. Here are more details.

A few hours later, implied volatility dropped across the board, with the further out-of-the-money (OTM) options seeing the most significant decline. The implied volatility of the options closest to the stock price fell moderately, while the farther OTM strikes experienced a more substantial drop. This shift worked in our favor and helped make the trade profitable.

The long strike I owned (1300) had an implied volatility of ~190% before, which dropped to ~165% after.

The short strike I sold (1500) had an implied volatility of ~215% before, which dropped to ~180% after.

The trades were closed on the consolidation following the sharp morning liquidation. Here are the trade tickets.

BOT +1 1/2 BACKRATIO SMCI 100 (Weeklys) 23 FEB 24 1300/1500 CALL @-1.05

From the panicked price movement, it looked like people late to the party were just selling off existing positions, not necessarily big new sellers entering the market; the stock might eventually retest those higher levels again. Even with the drop, implied volatility stayed high, which is crucial because it suggests continued uncertainty and anticipation of significant movement.

Given how sharp the sell-off was and how many traders were probably surprised by it, I decided to jump back into the trade on February 20—this time with a bigger position, especially after the long weekend when the market had some time to settle. Strikes and trade tickets follow.

SOLD -1 1/2 BACKRATIO SMCI 100 (Weeklys) 1 MAR 24 1300/1500 CALL @1.10

SOLD -1 1/2 BACKRATIO SMCI 100 (Weeklys) 1 MAR 24 1400/1600 CALL @1.10

SOLD -1 1/2 BACKRATIO SMCI 100 (Weeklys) 1 MAR 24 1350/1550 CALL @1.05

With the liquidation, the trade above was farther away from current prices than the last. Additionally, we moved it to next week’s expiry after the long weekend since it was no longer present for the 23 FEB 24 expiry. The lookback feature on Schwab’s thinkorswim shows implied volatility at the 1300 strike was ~180%, while at the short strikes, it was ~200%.

A quick check of SpotGamma’s implied volatility skew tool reveals a still-elevated call skew. Awesome!

Soon after, despite minor volatility shifts, we added similar trades with strikes that were further from the current price.

Gauging implied volatility accurately using the lookback feature can be tricky, but we observed that the difference in implied volatility between the strikes was narrowing. This indicated that the volatility skew was “flattening.” In simpler terms, the implied volatility between different strikes was becoming more similar, unlike a steeper skew where the farther strikes have much higher implied volatility. This can be good for the trade.

Here’s a chart that illustrates this “flattening” volatility skew. While this example shows the S&P 500, the concept is the same. Pay attention to the blue versus green line!

Anyways, back to the charts. So, here’s the price action. Straight down!

On February 22, we rotated more into similar structures we started working on February 20.

SOLD -1 1/2 BACKRATIO SMCI 100 (Weeklys) 8 MAR 24 1400/1600 CALL @1.10

At the time of entry, lookback showed the implied volatility of the 8 MAR 24 spreads was around 145% for the long and 155% for the short strikes. At the second entry, the volatility spread between the strikes started narrowing. Overall volatility came down, but the difference between the strikes was about the same.

Here’s what the volatility skew looked like at this point. This is a 30-day look back (the shadow).

I ended up closing the 1 MAR 24 spreads on February 22 for up to a 1.00 cr.

BOT +1 1/2 BACKRATIO SMCI 100 (Weeklys) 1 MAR 24 1350/1550 CALL @-.50

Here’s the implied volatility for the 1 MAR 24 options chain. Again, while a bit lower than when we started, the difference between the two is roughly the same. The passage of time is definitely working in our favor, here!

I’ll note that I closed prematurely because underlying price action suggested we could trend higher, with the upper VWAP band as an upside target. The spreads ended up pricing for $1.00 more in credit. Take what you can get, Renato!

The challenge we faced was deciding whether closing and rotating the trade early would lead to additional profits. Ultimately, we rolled the position and made money either way, but this was the thought at the time. In other words, are we doing too much?

After closing the 1 MAR structure, we added 8 MAR structures on February 22. Trade tickets for one account below. These additions made the position larger than I wanted, so I bought cheaper crash options to manage the margin (the amount of money required to maintain the position) first and foremost. It was a tense moment! Thankfully, with these additions, we stayed within our limits and didn’t breach any safety thresholds.

SOLD -12 1/2 BACKRATIO SMCI 100 (Weeklys) 8 MAR 24 1400/1600 CALL @1.05

BOT +3 SMCI 100 (Weeklys) 23 FEB 24 1580 CALL @.13

At this point, the lookback showed implied volatility for the short strikes was around 160%, while the long strikes were at 150%. The difference between the two was around 10%.

Again, IV refers to the market’s expectations of future price movement expressed as a percentage. A higher IV suggests more movement, while a lower IV suggests less movement.

This is what the chart looked like at that time.

Around 2 PM, the market struggled but recovered, finishing higher by the close. The trades moved against me slightly, but the ATM and ITM entry and holding criteria (i.e., credit to close) mentioned above were still met, so I stuck with it.

Regarding having to hedge, I just focused on the spread’s sensitivity to price movements. Despite intense price action, the Greeks were okay. I remained in the position for about a week and a half. After the first week, the spread moved in my favor, but not to the extent I had hoped.

To explain, implied volatility remained higher on the short strike but dropped more on the long strike. Had the volatility on the short strikes dropped significantly more, the spreads would have likely come off sooner. Pricing the 15 MAR 24 spreads, those were trading for a debit to close, and it did not make sense to do anything other than sit on my hands and wait. If the stock continued to rise, which eventually occurred, the spread had more potential. Here’s the lookback at the time.

This is the price chart at month-end. It felt like there was more room to go up.

After the weekend, there was a big overnight move. Traders caught the news that SMCI would be included in the S&P 500.

I used the gap as a gift and sold into it, monetizing spreads from 3.00 to 5.05 cr to close. Trade tickets for one account follow.

BOT +1 1/2 BACKRATIO SMCI 100 (Weeklys) 8 MAR 24 1400/1600 CALL @-5.05

5.05 marked the top in the structure’s pricing despite the stock moving higher after 10:00 AM. It took me years of watching these structures to spot softening sensitivity in the spread, prompting such closure. Had this gap not happened, the spreads likely would have been closed for small credits (0.05 cr). Again, the gap was a gift. Take it, Renato!

At this point, I am already considering rinsing and repeating this trade. The 15 MAR 24 200-point spread fully ITM traded for a small credit to close, which was unsafe. I widened accordingly to a 250-wide spread, priced for a very thick credit to close—the lookback shows about 44.00 cr. Here’s the lookback.

So, we went out to 1300/1550. There, I saw 1x2s pricing for thick credits to open.

SOLD -1 1/2 BACKRATIO SMCI 100 15 MAR 24 1350/1600 CALL @3.05

The implied volatility at the 1300 strike was ~150%, and at the 1550 strike, it was ~175%. We entered an hour early without regard for the stock chart (above), which was a costly mistake. The stock ripped higher, resulting in a ~$2.00 loss per spread.

Notably, the implied volatility skew steepened on the day of entry. Here’s a visual.

However, later that day, the spreads settled down. At 1:40 PM, the stock peaked, and the pricing of the 1300/1550 we put on declined slightly. To manage risk, I closed some units there. In any case, the spread narrowed, owing to a flattening and stickiness of the skew; 1300/1550 = 150/175% (~25% spread) → 140/160% (~20% spread). If I waited longer, the additional units would have gone massively in my favor. Oh, well!

Over the next few days, the stock moved down and then up; overall, the stock stayed flat. During this time, the spread increased in value, working in my favor. With these spreads, you want drift, not protracted movement!

My targets were at 5.00 and 10.00 cr to close, as I got over the next day or so. Implied volatility didn’t budge much. Based on thinkorswim’s lookback feature, it rose in the long strike more than the short strikes, which is what you want to see. Decay helped!

I wanted to hold longer because the spread 50 points closer to the money was pricing at 10.00 cr to close, about 3-5.00 cr more than I had my pricing for. Based on the stock price chart, we were peaking, but these moves tend to go sideways or higher for a bit longer. Candle shadows tend to get tested!

If we fast forward, the session was quiet, with SMCI trading sideways to lower from the open. The pricing of the spread went as high as 10.00 cr (at which point I started to monetize).

BOT +1 1/2 BACKRATIO SMCI 100 15 MAR 24 1350/1600 CALL @-10.05

Here’s what implied volatility looked like (i.e., a rise in the long strike, whereas the short strike stayed about the same).

After the close, I started thinking, “Man, I should have closed that last spread.” It went to my target, but I kept holding (correctly), as you want to maintain some runners. However, the price action was weak into the evening, after the market closed, and I was now concerned I would lose all or most of the profit in my remaining spread. Mental games, here. Patience, Renato!

The market opened sideways the next day. I monetized my last spread for 11.00 cr, close to its peak.

BOT +1 1/2 BACKRATIO SMCI 100 15 MAR 24 1350/1600 CALL @-11.07

Here are the implied volatilities at the exit (i.e., noticing the more significant drops in short strikes relative to the long ones).

There’s a critical factor that helped the trade keep its value. The stock went sideways, and a day or so passed, allowing some of the decay to kick in. The decay disproportionately affected the further OTM strikes (i.e., there’s more to decay than usual), with the lookback showing implied volatility dropped to 135% long / 150% short a few minutes after I closed my position. The market was attempting to go higher, volume was low on the 1300 strike, and the spread ended up pricing higher than what I closed it for. Bummer! Here’s what it looked like.

SELL -1 1/2 BACKRATIO SMCI 100 15 MAR 24 1300/1550 CALL @-15.70 LMT

On March 8, the market peaked, hitting the 1200 figure I had envisioned. 1200 was a target for me due to the amount of interest (open interest and volume) at that strike, as well as the trend of the market. The March 4 shadow would also be taken based on the March 5-7 price action. Essentially, we traded up to and held short of the March 4 high, and the spread increased in value by $10.00 cr. I could have doubled my profits for the trade, but at the risk of losing it if things had gone the other way. Remember February 22, when the extreme volume was at the 1000 strike and above? We failed there. This was a blow to options buyers!

On March 8, 10-15 minutes after the market opened, implied volatility for 1300/1550 per thinkorswim’s lookback showed a much more significant drop in further OTM strike as the stock went up by $33 in that one day. Vol down, stock up, weekend decay, and that’s how a spread that priced 5.00 cr to close two days before ended up trading to 25.00 cr to close. Here’s the lookback.

On March 11, the stock traded much weaker. Implied volatility on the 1300/1550 went to 150/170%. Despite this, the trade lost a lot of delta, which the implied volatility bump couldn’t make up. The lookback shows the trade went to a 7.00 cr, a ~70% loss. This is what I say you’re up against. There’s not a lot of give to work with at times.

At this point, I realized I was doing what I was supposed to: take what I could get. Sometimes, the risk of losing what you made is not worth the potential reward. The trade was done after the stock hit 1200 (a location where I struck a bunch of Fibonacci extensions, too).

Finally, this is what the implied volatility skew looked like on March 8, the peak day.

In conclusion, this trade demonstrated one of my better executions. Over the month, SMCI traded sideways, and I captured about $24,000 in premiums across a couple of accounts. As I told my trading partner, the execution felt “divine”; there were plenty of moments where we could have made big mistakes—being too greedy, sizing too large and having to delta hedge in response, entering or exiting at the wrong times, or letting fears take over. However, the SMCI trades show improved thinking and acting quickly. Continuous improvement is all this is about—and that’s all I can ask for!

Some thoughts from this experience include waiting for market capitulation when the excitement fades, which helps spot better opportunities to trade the above structures. I identify these trades by scanning for high implied volatility, tracking a watchlist daily, sizing trades appropriately, and monitoring them closely; I size appropriately when I spot potential trades and save those trades (i.e., keep them in my monitor tab). I also suggest tracking implied volatility at specific strikes and keeping detailed notes; if you see a pattern, note it and decide whether adding or reducing the position is worth it. Additionally, holding onto “runners” (remaining positions) can significantly boost profits, as seen with the trades expiring on 15 MAR. Also, consider what may happen if the underlying moves toward the spreads and how you’ll react, adding, hedging, or reducing size.

What’s your favorite engagement trade when the fear of missing out is so great? Let’s discuss.


Disclaimer

By viewing our content, you agree to be bound by the terms and conditions outlined in this disclaimer. Consume our content only if you agree to the terms and conditions below.

Physik Invest is not registered with the US Securities and Exchange Commission or any other securities regulatory authority. Our content is for informational purposes only and should not be considered investment advice or a recommendation to buy or sell any security or other investment. The information provided is not tailored to your financial situation or investment objectives.

We do not guarantee the accuracy, completeness, or timeliness of any information. Please do not rely solely on our content to make investment decisions or undertake any investment strategy. Trading is risky, and investors can lose all or more than their initial investment. Hypothetical performance results have limitations and may not reflect actual trading results. Other factors related to the markets and specific trading programs can adversely affect actual trading results. We recommend seeking independent financial advice from a licensed professional before making investment decisions.

We don’t make any claims, representations, or warranties about the accuracy, completeness, timeliness, or reliability of any information we provide. We are not liable for any loss or damage caused by reliance on any information we provide. We are not liable for direct, indirect, incidental, consequential, or damages from the information provided. We do not have a professional relationship with you and are not your financial advisor. We do not provide personalized investment advice.

Our content is provided without warranties, is the property of our company, and is protected by copyright and other intellectual property laws. You may not be able to reproduce, distribute, or use any content provided through our services without our prior written consent. Please email renato@physikinvest for consent.

We reserve the right to modify these terms and conditions at any time. Following any such modification, your continued consumption of our content means you accept the modified terms. This disclaimer is governed by the laws of the jurisdiction in which our company is located.

Categories
Commentary

Market Tremors

This edition shouts out Public.com, a multi-asset investing platform built for those who take investing seriously. Public recently launched Alpha, an AI investment exploration tool, in the app store. We’re excited to host co-founder and co-CEO Jannick Malling on the next podcast to discuss the market and how AI levels the playing field. Stay tuned!

When market expectations drift too far from underlying fundamentals, they eventually become unsustainable. This sometimes leads to corrections that can trigger cascading effects across the broader market.

It is prevailing investment practices that partly fuel such a dynamic. While concepts like diversification and efficient markets appear sound, they often fail to account for the pressures investors face in practice. For instance, sophisticated retail investors have no mandate and typically have the space to make deliberate, calculated decisions. On the other hand, institutional-type investors, driven by the need to deliver consistent short-term profits, may feel compelled to chase returns. This pressure can lead to riskier behaviors, such as betting on low volatility by selling options. While this may produce steady returns in calm markets, it exposes investors to sudden shocks, volatility repricings, and forced unwinds when markets turn unexpectedly. Investors are often unprepared for such volatility, seldom owning options outright due to the rarity of shocks. This creates a market landscape skewed toward a “winner-takes-all” outcome, where only a few are positioned to benefit from such rare moments.

The following sections explore this realm of increasingly frequent, dramatic, and unpredictable outcomes. Let’s dive in.


In our excruciatingly detailed ‘Reality is Path-Dependent’ newsletter, we explored how markets are shaped by reflexivity (feedback loops) and path dependency (how past events influence the present), setting the stage for August 2024’s turbulence and recovery.

To recap, we noticed that while individual stocks experienced big price swings, the broader indexes, like the S&P 500—representing those stocks—showed restraint. Remarkably, the S&P 500 went over 350 sessions without a single 2% or more significant move lower, reflecting this calm. This happened because of a mix of factors, including many investors focusing on broader market calm, often expressed by selling options and, in some cases, using their profits to double down on directional bets in high-flying stocks. This helped create a gap between the calmer movements in the indexes and wilder swings in individual stock components, leading to falling correlations; beneath the surface, big tech, AI, and Mag-7 stocks gained ground, while smaller stocks in the index struggled, as shown by fewer stocks driving the market higher (weaker breadth).

Graphic: Retrieved from Bloomberg.

By arbitrage constraints, declining correlation is the reconciliation. When investors sell options on an index, the firms on the other side of the trade—like dealers or market makers—dynamically hedge their risk. They may do this by buying the index as its price drops and selling it when it rises, which can help keep the index within a narrower range and reduce actual realized volatility. However, this doesn’t apply as much to individual stocks, where we observed more options buying. For these stocks, hedging works differently: dealers may buy when prices rise and sell when prices fall, reinforcing trends and extending price moves. This creates a situation where the index stays relatively calm, but its components can swing more wildly.

Anyway, we noticed that as the connection between the index and its stocks was weakening, traders who bet on these differences (called dispersion) profited. As more participated in this and other volatility-suppressing trades, it became more successful. This shows how feedback loops (reflexivity) and past events (path dependency) influence future market behavior. Overall, this trade helped sustain the market rally and added stability as lesser-weighted stocks stepped up to offset the slowdown in leaders in July.

However, we speculated about the risks of a broader “sell-everything” market. Waning enthusiasm for big tech stocks and broader market selling on the news could manifest demand for protection (such as buying longer-dated put options). During the quieter, less liquid summer months, this could trigger increased volatility and lead to a sharp sell-off (as dealers or market makers hedge in the same direction the market’s moving, amplifying moves). Although low and stable volatility gave an optimistic market outlook, we considered advanced structures to hedge against potential pullbacks at low cost, including ultra-wide, broken-wing NDX put butterflies, ratio spreads, and low-cost VIX calls and call spreads (which, by way of the VIX being an indirect measure of volatility or volatility squared, offer amplified protection in a crash). In the event of market weakness, these structures would be closed/monetized, with the proceeds/profits used to lower the cost of upside participating trades through year-end. Again, further details can be found in the ‘Reality is Path-Dependent’ newsletter.

Graphic: Retrieved from UBS. Hedge funds were cutting risk in July 2024.

Our warnings about the risks of extreme momentum crowding and positioning leading to violent unwinds were borne out in August 2024. Markets reeled as recession probabilities were repriced, quarterly earnings disappointed, and central bank policies diverged. The Federal Reserve’s dovish stance starkly contrasted with an unanticipated rate hike by the Bank of Japan. This fueled considerable volatility across assets, particularly higher-beta equities and cryptocurrencies, which are more heavily influenced by traditional risk and monetary policy factors. The episode highlighted the vulnerabilities of a market reliant on leveraged trading and concentrated investments; the situation was about more than just a fundamental shock.

Graphic: Retrieved from Bianco Research.

The unraveling was marked by spikes in stock market volatility measures like the VIX, a liquidity vacuum, and forced deleveraging by trend-following and volatility-sensitive strategies. Despite this clearing some froth, key equity and volatility positioning and valuation vulnerabilities remained, leaving markets fragile and uncertain whether growth will stabilize or deteriorate.

Graphic: Retrieved from Bloomberg via PPGMacro. Yen versus Nasdaq.

Some accounts compared the selling to the 1987 stock market crash. Volatility broke its calm streak, with spot-vol beta—the relationship between market movements and expected/implied volatility changes—rising and correlations increasing.

Graphic: Retrieved from Morgan Stanley via @NoelConvex.

Early warning signs of precariousness emerged as prices for far out-of-the-money SPX and VIX options—key indicators and drivers of potential crashes when heavily traded—soared hundreds of percent the week before crash day, Monday, August 5. These tail-risk hedges, often viewed as insurance against steep market drops, carried well, becoming significantly more expensive as demand surged. Just as insurers raise premiums on homes in disaster-prone areas to account for higher risk, the soaring cost of these options reflected the market’s growing fear of extreme outcomes. This repricing fed into broader quantitative measures, triggering a wave of deleveraging and prompting investors to offload hundreds of billions in stock bets, amplifying the sell-off.

Graphic: Retrieved from Nomura via @MenthorQpro.

At one point, the VIX breached 65, its highest level since 2020. A lack of liquidity during pre-market hours and the shift from short-term to longer-term hedges contributed to this sharp rise. The VIX is calculated based on a selection of S&P 500 options about 30 days out, chosen by an algorithm that looks at the middle point between the prices people are willing to buy and sell those options. When there’s not a lot of trading activity and markets get volatile, the difference between the buying (bid) and selling (ask) prices widens, lending to the VIX being higher than it should be.

Graphic: Retrieved from JPMorgan via @jaredhstocks.

Comparatively, VIX futures—perhaps a better measure of hedging demands outside regular market hours—lagged. JPMorgan claims the fast narrowing in the VIX spot and futures indicates the VIX spot overstated fear and hedging demand.

Graphic: Retrieved from Bloomberg.

Moreover, a technical issue at the Cboe options exchange delayed trading, and by the time the problem was resolved, the VIX had already dropped sharply. This coincided with traders doubling down on short-volatility positions and buying stocks, confident in the S&P 500’s historical tendency to rebound in the months following similar volatility spikes.

Graphic: Retrieved from Nomura via The Market Ear.

Rocky Fishman, founder of Asym 500, explains that the dislocations above were compounded by dispersion traders who likely experienced mark-to-market losses on their short index positions while single-stock markets remained closed. This forced some to cover their short index volatility positions, resulting in a pre-market surge in index volatility. Once trading resumed, many began selling single-stock options, triggering a broader decline in volatility levels—particularly in single-stock options.

Graphic: Retrieved from Bloomberg via Asym 500.

So, the rapid decrease in the VIX was driven more by positioning dynamics and the calculation mechanics of the VIX itself rather than a complete unwinding of risky trades. Additionally, the S&P 500’s movement into lower-volatility segments of the SPX options curve, which the VIX relies on, further intensified this decline. Kris Sidial of The Ambrus Group adds, “It’s quite evident that many have doubled down on [short volatility]. But you don’t need to trust our data. Barring any additional volatility shocks in the next few weeks, I expect some of these firms to deliver stellar numbers by the end of Q3 due to their inclination to take on more risk.”

Graphic: Retrieved from Bloomberg via @iv_technicals.

The market’s recovery in the fall was mainly driven by the Mag-7 giants, whose robust performance overshadowed the struggles of smaller stocks. The August decline created an opportunity to acquire beaten-down stocks at discounts, with investors indeed seeing the panic as a buy signal; outside of significant crises unable to topple the economy (like the bank failures in 2023), back-tests suggest that when the VIX exceeds 35, the S&P 500 has historically risen upwards of 15% over the next six months.

Graphic: Retrieved from Bloomberg.

The recovery was not without risks, with the divide between market leaders and laggards highlighting continued fragility. In any case, supportive flows into mega-caps and dealer hedging activities helped stabilize broader indexes through November.

Graphic: Retrieved from Nomura via SpotGamma.

The growing gap between the stable performance of the S&P 500 and the larger fluctuations in its components created profits for those dispersion traders we discussed. However, as valuations for mega-cap stocks climb, the market becomes more vulnerable to shifts in sentiment or capital flows. Events like the yen carry trade—where borrowing in Japan funded investments in U.S. Treasuries and equities—unwind exposed concentration risks and positioning imbalances, which could amplify future shocks.

Graphic: Retrieved from Bloomberg via @Alpha_Ex_LLC.

As for potential triggers and shocks going forward, rising inequality and populism are creating deep divisions within and among major powers, while protectionist policies strain potential global cooperation. According to Cem Karsan of Kai Volatility, these dynamics drive economic battles and indirect conflicts, with Eastern nations working to reduce Western influence. This shift coincides with a new era of high inflation, widening wealth gaps, and changing power dynamics. Millennials, now a dominant force in the workforce and politics, are challenging decades of policies that primarily benefited corporations and the wealthy, reversing globalization and redistributing wealth—though this comes at the cost of heightened inflation.

These structural changes disrupt traditional investment strategies like the 60/40 portfolio. A major geopolitical event, such as China moving on Taiwan, could severely impact supply chains, critical industries, and the global economy, with significant repercussions for stocks like Nvidia and broader indices like the S&P 500. If market bets against panic (like short volatility) unravel, it could trigger more swings like August’s. The same reflexivity that has stabilized markets since then could amplify volatility during future shocks, turning successive disruptions into severe crises if market positioning is misaligned.

Graphic: Retrieved from Joshua Lim.

Despite this challenging backdrop, short-term market behavior operates independently, dictated by supply and demand dynamics. Seasonal flows, particularly during year-end, created a bullish bias; reduced holiday trading volumes, combined with reinvestment effects and significant options expirations, contributed to structural upward pressure on markets. These flows and a historical tendency for election years to drive positive performance suggested a right-skewed distribution for near-term outcomes.

Graphic: Retrieved from SpotGamma.

The prospect and fulfillment of a “red sweep,” characterized by follow-on deregulation, a business-friendly environment, and more animal spirits, boosted markets. However, caution was spotted in certain areas, like bonds, where expectations for inflation rose.

Graphic: Retrieved from Oraclum Capital.

Ultimately, the market overextended, highlighting the risk of a peak as it caught down to weak breath on the Federal Reserve’s surprising hawkish shift in December. This change led to volatility in equities, interest rates, and currencies, reminiscent of the spike in August when the VIX jumped and surpassed the S&P 500’s decline. Such persistent divergences validate a clear shift into a new market regime characterized by volatility that consistently outpaces market sell-offs.

Image
Graphic: Retrieved from Nomura.

In a report, Cboe said that equity spot/vol beta surged to -3.3, meaning for every 1% drop in the S&P 500, the VIX gained 3.3 points—exceeding even August’s extreme levels. SPX options priced greater downside risk, with skew steepening. Notwithstanding, correlations settled near historic lows, signaling investor focus on sector rotation and stock dispersion.

Graphic: Retrieved from Bloomberg via Alpha Exchange.

Early warning signals appeared when volatility and equities increased simultaneously, highlighting a “spot up, vol up” pattern that frequently foreshadows market peaks. For instance, at one moment, upside calls on major stocks like Nvidia and the S&P 500 were well-priced and poised to perform strongly in a rally. This occurs because, during rallies, implied volatility of call options generally decreases as investors tend to sell calls tied to their stock holdings rather than liquidating them entirely. When investors chase synthetic upside exposure through call options, indices like the VIX could stabilize or increase as the market rises. Since counterparties typically adjust their exposure by buying the underlying asset, it propels the rally and magnifies market fluctuations.

Graphic: Retrieved from Nomura.

Beyond the chase, the post-election rally got an extra boost from unwinding protective puts. Significant events like elections typically boost demand for puts as hedges against adverse outcomes, with counterparties hedging these positions by selling underlying stocks or futures, among other things. As markets rise, time passes, or uncertainty fades, these puts lose value, leading counterparties to unwind hedges by buying stocks and futures. This is a structural support that pushes markets higher.

Graphic: Retrieved from Nomura.

Corporate buybacks and stabilizing volatility levels encouraged funds to increase their exposure. Nomura estimated that assuming stable markets, up to $145 billion in additional volatility-sensitive buying could occur over three months. Although 30-day implied volatility traded a bit above realized volatility, this signaled uncertainty rather than distress. Seasonal factors mentioned in the previous section—like low holiday liquidity and limited selling pressure—added to the upward trend.

Graphic: Retrieved from Goldman Sachs.

Then came the FOMC meeting, followed by December’s massive options expiration (OPEX), disrupting the supportive dynamics that had fueled the rally. While a rate cut was expected, uncertainty around forward guidance introduced volatility just as the market faced a substantial unwinding of stabilizing exposure. Those who hedged customer-owned call options by buying stock during rallies and hedged customer-owned puts by selling stock during declines were forced to re-hedge as markets turned lower following the FOMC meeting. This involved selling stocks and futures, adding downside pressure.

Macro factors triggered the initial downside, with positioning amplifying equity volatility.

Graphic: Retrieved from SpotGamma.

Ultimately, volatility levels signaled oversold conditions ahead of a massive put-clearing OPEX, setting the stage for a year-end lift. The volatility spikes in August and December remained contained, as they were largely event-driven and mitigated by existing hedges and a market structure anchored by year-end flows. The subsequent unwinding of significant options positions in December eased the pressure, while reinvestment and re-leveraging effects into January supported against weak breadth; as the earlier-mentioned Cem Karsan explains best, the substantial gains over the year increased collateral for leveraged investors, enabling them to reinvest profits or take on more leverage, which has given markets a lease on life through today.


2025 might see increased volatility, not driven by typical inflation or recession fears but by the positioning dynamics herein that can magnify market swings during downturns. The so-called “red sweep” introduces optimism and the likelihood of greater risk-taking, which could result in one-sided positioning and heightened volatility. Factors like populism, protectionism, and rising interest rates are additional pressures on stocks and bonds. Gold and Bitcoin are identified as potential stores of value, but Bitcoin remains prone to speculation, liquidity challenges, and regulatory obstacles.

The following newsletters will identify structures to lean into fundamental catalysts and underlying volatility contexts. Notably, the structures discussed earlier (such as ultra-wide, broken-wing NDX put butterflies, ratio spreads, and low-cost VIX calls and call spreads) may continue to perform as effective hedges.

See you soon for a detailed part two.

Graphic: Retrieved from Invesco via Bloomberg.

Disclaimer

By viewing our content, you agree to be bound by the terms and conditions outlined in this disclaimer. Consume our content only if you agree to the terms and conditions below.

Physik Invest is not registered with the US Securities and Exchange Commission or any other securities regulatory authority. Our content is for informational purposes only and should not be considered investment advice or a recommendation to buy or sell any security or other investment. The information provided is not tailored to your financial situation or investment objectives.

We do not guarantee the accuracy, completeness, or timeliness of any information. Please do not rely solely on our content to make investment decisions or undertake any investment strategy. Trading is risky, and investors can lose all or more than their initial investment. Hypothetical performance results have limitations and may not reflect actual trading results. Other factors related to the markets and specific trading programs can adversely affect actual trading results. We recommend seeking independent financial advice from a licensed professional before making investment decisions.

We don’t make any claims, representations, or warranties about the accuracy, completeness, timeliness, or reliability of any information we provide. We are not liable for any loss or damage caused by reliance on any information we provide. We are not liable for direct, indirect, incidental, consequential, or damages from the information provided. We do not have a professional relationship with you and are not your financial advisor. We do not provide personalized investment advice.

Our content is provided without warranties, is the property of our company, and is protected by copyright and other intellectual property laws. You may not be able to reproduce, distribute, or use any content provided through our services without our prior written consent. Please email renato@physikinvest for consent.

We reserve the right to modify these terms and conditions at any time. Following any such modification, your continued consumption of our content means you accept the modified terms. This disclaimer is governed by the laws of the jurisdiction in which our company is located.

Categories
Commentary

BOXXing For Beginners

Good Morning! I hope you had a great weekend and enjoy today’s letter. I would be so honored if you could comment and/or share this post. Cheers!

Nvidia Corporation (NASDAQ: NVDA) beat on earnings last week, lifting the entire stock market.

Graphic: Retrieved from Bloomberg via Christian Fromhertz.

The chipmaker confirms it can meet lofty expectations fueled by the artificial intelligence boom, with demand for Nvidia’s newest products likely to outpace supply throughout the year. Despite mounting competition and regulatory challenges in markets like China, Nvidia pursues strategic partnerships to expand its distribution channels.

Graphic: Retrieved from Bloomberg via @Marlin_Capital. NVDA eclipses $2T market capitalization, with its 12-month forward PE now at 33.

Before the earnings announcement, heightened implied volatility derived from options prices on the chipmaker’s stock indicated anticipation of significant fluctuations. The at-the-money straddles, composed of call and put options, suggested movement expectations of as much as +/-10% after earnings.

Various methods exist to estimate the expected move. One approach involves taking the value of the at-the-money straddle for the front month and multiplying it by 85%. Another entails using a narrow range of options.

The volatility skew, which will be defined later, implied that the perceived risk of movement was tilted toward the upside. In any case, staying within the anticipated movement would not favor options buyers, as we show later.

Graphic: Retrieved from Bloomberg.

Since late 2023, traders have increasingly been hedging against or speculating on market upswings. This is evident in the higher call option implied volatility. Expectations for significant upward movement are particularly notable in the growing number of stocks where the 25 delta call implied volatility exceeds the 25 delta put implied volatility, shares Henry Schwartz of Cboe Global Markets.

To elaborate, options delta (∆) measures the change in an option’s price relative to changes in the underlying asset’s price. It indicates the option’s sensitivity to the underlying asset’s price movements. A delta of 0.50 means that for every $1 change in the underlying asset’s price, the option’s price would change by $0.50 in the same direction. The skew reflects the difference in implied volatility between out-of-the-money call and put options with the same delta. 

When the 25 delta call implied volatility surpasses that of the 25 delta put implied volatility, a more pronounced positive skew suggests traders are willing to pay a premium for calls. Conversely, if the 25 delta put implied volatility exceeds that of the 25 delta call implied volatility, often observed in products like the S&P 500 (due to concerns about protecting equity downside), there is a negative skew or stronger inclination to pay a higher price for put options.

Graphic: Retrieved from Henry Schwartz.

This persistent fear of missing out on sudden upward movements manifests a cascading effect when markets move higher, says Nomura Americas Cross-Asset Macro Strategist Charlie McElligott.

“The key to equities seemingly being able to keep shaking off nascent pullbacks? Well outside of the ongoing ‘AI  euphoria’ theme and de-grossing of shorts, … it’s been all about the Pavlovian ‘options selling’ flows, which continue to suppress [implied volatility].”

Graphic: Retrieved from Nomura.

As explained by McElligott, these “options selling flows” have the potential to amplify momentum. For instance, when traders or customers purchase call spreads, as they are large, the counterparties or dealers are left with a short skew, negative delta position that loses money if implied volatility rises or markets rise. In response to a rising market, dealers may manage their delta by selling put options or buying call options, stocks, or futures. Adding these positive delta hedges helps propel the market into uncharted territory during swift movements.

Graphic: Retrieved from Nomura.

As validation, after Nvidia Corporation’s stock surged about 10% post-earnings, Bloomberg reported that “to fully re-hedge all open option positions coming into the day, 51 million shares, or 91% of the daily average,” would need to be traded. Bloomberg added that the March 15 $680 call, February 23 $700, and $750 calls experienced the most significant changes in the delta before the market opening.

Graphic: Retrieved from Bloomberg via Global_Macro or @Marcomadness2.

Observing SpotGamma’s real-time options hedging impact measure HIRO, the chipmaker was boosted partly on positive flows from the hedging of call options, as shown by the orange line below, while put options trading had a limited effect, as indicated by the blue line. The re-hedging activity positively affected the stock on Thursday post-earnings and had a pressuring effect on Friday, owing to the short-datedness of some of the options exposure traders initiated.

Graphic: Retrieved from SpotGamma. 

While mentioning pressures, see below the volatility skew before (green) and after (grey) earnings. 

Graphic: Retrieved from SpotGamma.

Short-dated options with very high strikes (e.g., 900+) and close expiration dates (e.g., ten days) struggled to hold their value. SpotGamma shared that the pricing of near-the-money $785 calls expiring on March 15 returned to their previous levels just a week before earnings. Since the actual movement closely matched the expected movement, there was little justification for options well above the market (i.e., +30%) to retain their value.

Graphic: Retrieved from Bloomberg via SpotGamma.

At Physik Invest, we foresaw such a situation and executed 100-point wide 1×2 call ratio spreads between the 900s and 1000s for a credit of approximately 0.90. We closed these positions the next day for an additional credit of 0.50 when the 1000 strike options failed to keep their value as good as the closer 900 strike options. The resulting profit was a 1.40 credit per spread.

Graphic: Via Banco Santander SA (NYSE: SAN) research. The return profile, at expiry, of a 1×2 (buy 1 and sell 2 further away) ratio spread.

Please be aware that similar trades are present in other high-flying products, albeit less widespread than in 2021 during the meme-stock trend. A simple way to determine whether such trades are safe is to check the pricing of fully in-the-money spreads. If the spreads trade at substantial credits to close, they are worth considering. However, if the spreads require a debit to close, it’s best to avoid them. In the case of Nvidia, the 100-point spread was priced at 25.00 in credit to close the day of earnings.

Graphic: Retrieved from TD Ameritrade’s thinkorswim platform.

Generally speaking, this trend in implied volatility is something that may continue. Kris Sidial from The Ambrus Group says the trend, which masks the risks of short volatility under the hood, such as those tied to risk-management practices, is driven by several factors not limited to the following:

(1) Increased demand for call options.

(2) Larger institutions seeking volatility as a hedge against rising risk exposure as the S&P 500 climbs. 

(3) Significant market movements make it difficult for implied volatility to decrease significantly.

Must Read: Two Major Risks Investors Should Watch Out For

Graphic: Retrieved from The Ambrus Group.

As such, Sidial suggests that “there is significant value in embracing volatility in both directions,” hedging against geopolitical and economic uncertainties while also capitalizing on the market upside. As discussed last week, we focus on leveraging elevated skew to reduce the cost of bullish trades (e.g., metals). Additionally, we plan to replenish our long put skew by acquiring put spreads in equities as a precaution against potential risks ahead, mainly local market peaks this time of year.

Graphic: Retrieved from Bloomberg via Tavi Costa.

With recent data dissuading anticipated cuts, there’s room to safeguard cash at higher rates for longer. 

One trade structure to help us do so is the box spread, which includes benefits such as a convenience yield, capital efficiencies achieved through portfolio margining, easy entry/exit on an exchange through most retail brokers, and potential 60% long-term and 40% short-term tax treatment.

Graphic: Retrieved via Alpha Architect. 

Like a Treasury bill, the loan structure combines a bull call spread and a bear put spread. In a bull call spread, an investor purchases a call option and sells another at a higher strike price. A bear put spread involves buying a put option and selling another at a lower strike price. The lower (X1) and higher strikes (X2) match for a box spread, with all legs sharing the same expiration date.

Graphic: Retrieved from OCC.

In calculating the loan rate, we take, for example, a recent box spread trade of Physik Invest’s: BOT +1 IRON CONDOR SPX 100 (Quarterlys) 31 DEC 24 3000/6000/6000/3000 CALL/PUT @2867.90 CBOE.

[(WIDTH−PRICE)/Price](365/DTE) = Implied Interest Rate

Where:

WIDTH: Distance between higher and lower strikes

PRICE: The price of the box spread

DTE: Days until the trade matures

[(3000-2867.90)/2867.90](365/319) = 0.0527036866 = 5.27%

We lend $286,790.00, at a risk-free rate of 5.27%, in exchange for $13,210.00 of interest at maturity. You can track box spread yields more quickly using tools like boxtrades.com. Such insights open up several strategic avenues for traders.

One approach is investing about 95% of your cash into box spreads to return the principal at maturity, risking the 5% interest you make on trades with a limited downside (e.g., SPX bull call spread). 

A more preferable option exists for portfolio margin traders. Portfolio margining is a risk-based approach to determining margin requirements in a customer’s account, aligning collateral with the overall portfolio risk. Portfolio margining considers offsets between correlated products, calculating margin requirements based on projected losses. This approach may lower margin requirements, allowing for more efficient capital utilization.

As portfolio margin traders, we retain our buying power due to the minimal directional risk associated with box spreads, allocating it to other margin-intensive trades. To illustrate, if such a trader initially invests $100,000 in box spreads, they are left with $0 in cash and $100,000 in buying power available for margin-intensive trades (e.g., synthetic long stock or the purchase of an at-the-money call and simultaneous sale of an at-the-money put). You get your inflation protection while participating 100% in up-and-down market movements. Why not, right?

The point of the above passage is that much of what you see online can be done yourself in a tax, margin, and cost-efficient way. Alternatively, you can be hands-off, investing in money markets and CDs or complicated yet cool products like the popularized Alpha Architect 1-3 Month Box ETF (BATS: BOXX), which has grabbed attention for its tax arbitrage through complex strategies and loopholes.

Graphic: Retrieved from Bloomberg via Eric Balchunas.

With BOXX, you’re investing in something as safe as short-term Treasury bills, but you can get your money back anytime and enjoy better tax treatment than Treasury bills. Bloomberg’s Matt Levine has an excellent write-up on the mechanics of BOXX, which you can read here.

We digress. You can do more with your unused cash and buying power when following the methods outlined earlier and as we put well in our “Investing In A High Rate World” report published in April 2023. There, we discussed return stacking utilizing Nasdaq call ratio spreads and S&P 500 box spreads, two trades that continue to kill it this year.

Graphic: Retrieved from Bespoke Investment Group.

We choose these structures, which have limited losses in case of market downside, for the following reasons: There is considerable support for the market, but this support appears fragile. For one, we refer to record-level dispersion trading, which involves the sale of index options and buying options in individual stocks. 

It’s the same short volatility exposure Sidial has warned us about. With some stocks realizing substantial differences in movement from the index, this booming trade may have gone too far, setting the stage for a potential market reversal.

The situation resembles the period leading up to Volmageddon when short-volatility strategies backfired. Implied correlations are low, and if a market shock occurs, investors may be forced to close out their trades, which could feed volatility. As was in the case leading up to Volmageddon, however, volatility can cluster and mean-revert for longer.

Graphic: Retrieved from Bloomberg via Tallbacken Capital Advisors.

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Categories
Commentary

Reversion To The Meme

Good Morning! I hope you had a great weekend and enjoy today’s letter. I would be so honored if you could comment and/or share this post. Cheers!

After a period of taking the stairs up, markets took the elevator down last week. Through Tuesday, the S&P 500 fell over 2.5% on a Consumer Price Index (CPI) print, which signaled higher-than-expected inflation. Internally, the selling was heavy.

Graphic: Retrieved from TradingView. Market Internals as taught by Shadowtrader’s Peter Reznicek.

Additionally, options were repriced in a big way.

Graphic: Retrieved from Bloomberg via Options Insight.

Let’s digress. 

Recall that options implied volatility is a measure of the market’s expectation of the future volatility of an underlying asset, as reflected by the supply and demand of options themselves. Higher implied volatility indicates more significant expected price fluctuations.

Options implied volatility skew refers to the unevenness in implied volatility levels across different strike prices. Steep, smile-looking, or v-shaped volatility skew reflects a scenario where increased market volatility disproportionately impacts farther away strike options due to (expected) losses from more frequent delta rebalancing in a moving market. Options traders assign higher implied volatility to those farther away strike options to compensate for increased risk/cost, often enabling savvy traders to exploit these variations to reduce their hedging costs.

Moreover, before last week’s drop, the S&P 500’s implied volatility skew was subdued, as indicated by the grey-shaded area below. Tuesday’s decline coincided with increased options trading activity and demand, leading to a notable upward shift in skew. Distant S&P 500 put options experienced significant increases in implied volatility (see the below grey line moving away from the shaded area).

Graphic: Retrieved from SpotGamma. Volatility skew for S&P 500 options expiring March 15, 2024.

Though skew remains elevated, broader implied volatility measures, such as the Cboe Volatility Index or VIX, declined as rapidly as markets rallied in the days following Tuesday’s downturn.

What’s happening?

Despite further negative economic indicators, such as hot producer prices or weaker retail sales and manufacturing output, markets surged strongly, closing the week almost unchanged. Beyond significant investor inflows into stocks, totaling approximately $16 billion on Wednesday, according to Bank of America Corporation, analysis of S&P options positioning revealed mechanical demand for the S&P 500, as highlighted by SqueezeMetrics. Higher implied volatility strengthened an automatic buying mechanism, supporting markets.

Graphic: Retrieved from SqueezeMetrics. Dealer S&P 500 Vanna Exposure or VEX.

This phenomenon is partially attributed to the significant options selling discussed in our recent newsletters, acknowledging the warnings issued by Cem Karsan of Kai Volatility and Kris Sidial of The Ambrus Group. Essentially, there’s been a rush among options sellers to enter into sizable positions, exemplified by the substantial options selling activity observed last week. UBS Group highlighted the persistence of this concerning toxic flow, noting aggressive trader actions, such as the sale of “70K of Thursday expiry 4120 puts at 0.05 on Wednesday.”

Graphic: Retrieved from Goldman Sachs Group Inc.

The estimated risk profile of this position is provided below (please allow for a margin of error of a day or two due to expiry). Essentially, it’s unfavorable, with the option seller at risk of losing much money if the market drops or implied volatility increases. Please be aware that we’re assessing this position independently, without knowledge of the option seller’s overall portfolio, including potential risk offsets from other positions they may hold.

Graphic: Retrieved from TD Ameritrade’s thinkorswim platform using the Analyze function.

Customers favoring such positive delta “short skew” positions prompt dealers on the other side to assume a negative delta (i.e., make money if the market is lower or implied volatility is higher) “long skew” or “long options” position, which they may manage through the sale of put options or the purchase of call options, underlying stock shares, or futures for hedging purposes. For a deeper understanding of these mechanisms, refer to SqueezeMetrics’ paper, “The Implied Order Book.”

Graphic: Retrieved from SqueezeMetrics.

This all happened during a seasonally weak period. We’ll go past the positioning side of things in a moment, so bear with me, but you can see the drop-off in options deltas following mid-February below.

Graphic: Retrieved from ConvexValue.

In essence, despite the anticipated reduction in options-based support, which Cem Karsan describes as a “window of non-strength” or a scenario conducive to increased volatility, the market’s reaction to Tuesday’s drop stemmed volatility. Observing these dynamics in real-time, here’s how we responded.

Graphic: Retrieved from Goldman Sachs Group Inc.

We had proactively positioned ourselves for a potentially weaker February, capitalizing on overlooked hedge opportunities outlined in recent newsletters—specifically, put spreads like butterflies. Others did similar, with Nomura Americas Cross-Asset Macro Strategist Charlie McElligott noting increased buying of put butterfly spreads in recent weeks (please see our late January and early February letters).

Depending on their setup (including the distance between strikes, the distance from the spot price, and the expiration timeframe), these spreads were positioned to profit from market declines. When the drop occurred, the unbalanced, very far out-of-the-money structures were priced to be closed at a small debit loss when the skew elevated substantially. Utilizing real-time analysis, we concluded it was opportune to increase our exposure to these far out-of-the-money units, capitalizing on the surge in implied volatility while cashing in on the closer spreads priced for a credit profit.

Graphic: Retrieved from Goldman Sachs Group Inc.

As markets recovered, we closed the recently initiated riskier spreads, freeing up buying power for opportunities elsewhere, such as in NVIDIA Corporation (NASDAQ: NVDA) and Super Micro Computer Inc (NASDAQ: SMCI), where a significant volatility skew, driven by heightened call options trading, enabled us to generate credit from short-dated spread trades.

By Friday’s end, we achieved one of our most successful weeks of the year, boosting our confidence and reinforcing our patience with underperforming trades, like the put butterfly hedges. PAY-tience!

Graphic: Retrieved from TD Ameritrade’s thinkorswim platform.

What motivated our actions? Let’s elaborate.

Tactically, we favor owning options to express our opinions efficiently selling options further out to reduce costs. Occasionally, we will utilize a ratio, such as selling two options for every one purchased. For those less experienced, simplicity often proves effective. Consider straightforward approaches like purchasing a wide put vertical, entailing buying a put, and selling a put at some greater distance. Depending on your position, the returns may come in at multiples of each unit of risk undertaken.

Furthermore, the speculative trading and crowded positions in equities (as previously discussed in this and prior newsletters), along with the persistent volatility skew (as indicated by the yellow line compared to the grey line below), imply that hedging strategies (such as owning longer-dated calls and selling stock/futures as a combination, or using put option spread strategies to hedge shares) may continue to be appealing.

Graphic: Retrieved from SpotGamma. Volatility skew for S&P 500 options expiring March 15, 2024.

In terms of what to hedge, as highlighted by Fallacy Alarm, mid-February traditionally signals local market peaks due to significant cash injections followed by selling pressure to cover tax obligations. Additionally, a dilemma presents itself: should the focus be on combating inflation or stimulating growth? Presently, the data would dissuade anticipated rate cuts, though such actions might be contemplated if the Personal Consumption Expenditure, a key metric, points to lower price increases, particularly in services. Current interest rate projections suggest a bimodal scenario with a low probability of sudden rate declines.

Graphic: Retrieved from Bloomberg.

As further context, John Authers of Bloomberg says there remains a risk of overheating or a scenario where the economy remains robust, eventually forcing the Federal Reserve (Fed) to tighten policies until it precipitates a recession. This is in disagreement with TS Lombard. They question whether the Fed’s current stance is overly restrictive, while Bob Elliott of Unlimited Funds suggests that rates may decrease in response to slowing growth. Eventually, the persistent inflation stemming from structural factors could prompt subsequent rate hikes driven by increased funding needs.

Graphic: Retrieved from Sven Henrich.

Traders must remain vigilant, adopting strategic approaches to hedge exuberance and so-called windows of non-strength. Should there be “a stronger catalyst than a telegraphed CPI print,” says Kris Sidial, then “both tails and skew are likely to perform well,” with any rally, given the short-volatility, likely to unsettle positioning, leading dealers to boost momentum and whipsaw. In other words, much lower or higher markets, coupled with more demand for puts or calls respectively, means dealers take on more short volatility risk, which they adjust for by repricing options higher and hedging with underlying asset sales (in the case of puts) or purchases (in the case of calls).

Graphic: Retrieved from Bank of America Corporation.

In conclusion, we remain mindful that it’s an election year, which could lead to heightened monetary and fiscal support in response to any weaknesses. While we maintain a positive outlook over the long term, we’re less optimistic in the short term.

This week, our attention is directed toward protecting our cash by rolling our remaining S&P 500 box spreads (acting as synthetic T-bills without impacting our buying power). We aim to secure these interest rates, keep a close watch on high-performing assets like silver, and replenish our long put skew (i.e., purchasing put spreads) in equities to hedge against potential vulnerabilities ahead. Following earnings announcements, we may resume engagement with companies such as Nvidia.

Graphic: Example of trade structuring. Retrieved from Physik Invest. This does not accurately represent this newsletter writer’s position. However, it is close. Note that one may own stock on top of this and view positions in aggregate.

If you’re wondering what’s up with the newsletter formatting over the past weeks, we are trying stuff. Let us know what you like and don’t like. Cheers, and have a good week! And, finally, if you can, share!

The cover photo was retrieved from a RidgeHaven Capital post on Seeking Alpha.

Categories
Commentary

Daily Brief For April 24, 2023

LOAD LEVELS ON TRADINGVIEW BY CLICKING HERE.

Short letter today. Got to catch a flight!

Last week, we discussed the recent response to the bank issues cutting risks for the S&P 500 (INDEX: SPX). Volatility and correlations fell as time passed, and this helped contain the market. Though last week’s options expiration (OpEx) may free markets up, we maintain that the SPX may stay contained longer before it weakens.

Graphic: Retrieved from SqueezeMetrics. “Monthly OpEx just shaved off nearly $300mm per point in SPX dealer gamma exposure. That means index liquidity has lost quite a bit of depth going into next week.”

Catalysts for weakness include falling earnings growth and a debt-ceiling crisis that’s driven T-bill yields lower from surging demand; a failure by Congress to raise the limit on how much the government can borrow may disrupt funding markets, WSJ reports.

Graphic: Retrieved from Bloomberg.

Let’s limit our expectations and focus on low- or zero-cost call structures (e.g., bull call ratio) monetized to finance longer-dated put structures (e.g., bear put vertical) while allocating a chunk of our portfolio to near-risk-free yield-harvesting structures (e.g., box spread), mainly if you are a portfolio margin trader.

As I explained to a subscriber over the weekend, for boxes, the greatest possible loss across a range of prices is negligible. Hence, buying power is unaffected in trading a box. Consequently, using portfolio margin and trading boxes, you have more buying power to allocate to other trades that are margin (and not debit) intensive, such as synthetic long stock (i.e., purchase ATM call and sell ATM put). Using options, among other derivatives, enables us to stack returns on each other.

Here’s one example.

We can trade box spreads expiring at the end of June. We buy the $4,000/$5,000 call spread for $22,365.00 and simultaneously buy the $5,000/$4,000 put spread for $76,620. This trade costs $98,985.00, and by lending this amount (on April 21, 2023), you will receive $1,015.00 upon maturity. Yes, you will have $99,000.00 cash tied up, but you should be able to use $99,000.00 in buying power in other trades if you have that portfolio margin component which is so important.

If this action-oriented letter is valuable to you, consider sharing it with others.

See you later!


About

Welcome to the Daily Brief by Physik Invest, a soon-to-launch research, consulting, trading, and asset management solutions provider. Learn about our origin story here, and consider subscribing for daily updates on the critical contexts that could lend to future market movement.

Separately, please don’t use this free letter as advice; all content is for informational purposes, and derivatives carry a substantial risk of loss. At this time, Capelj and Physik Invest, non-professional advisors, will never solicit others for capital or collect fees and disbursements. Separately, you may view this letter’s content calendar at this link.

Categories
Commentary

Daily Brief For April 18, 2023

LOAD LEVELS ON TRADINGVIEW BY CLICKING HERE.

Bank of America Corporation (NYSE: BAC) sees allocations to equities versus bonds falling. That’s amid recession fears. Per EPB, “the cyclical economy has just started to shed jobs today, and leading indicators signal the recession is likely underway.”

“To get advanced warning of recessions, you must look at the construction and manufacturing sectors, even though these two sectors are only 13% of the labor market,” EPB adds, noting traditional indicators’ weakening predictability is not so great to ignore the insight. “It’s clear that the composition of traditional leading indicators remains appropriate, and thus, the current resounding recessionary signal should not be ignored.”

BAC strategist Michael Hartnett said, though, that this “consensus lust for recession” must soon be satisfied. Otherwise, the “pain trade” would be even higher yields and stocks; the S&P 500 (INDEX: SPX) is enjoying an accelerated rally which Jefferies Financial Group (NYSE: JEF) strategists think portends a period of flatness, now, over the coming weeks …

Graphic: Retrieved from Jefferies Financial Group (NYSE: JEF) via The Market Ear.

… and through options expiration (OpEx), typically a poor performance period for the SPX.

Displaying
Graphic: Retrieved from Tier1Alpha. 

Beyond the uninspiring fundamentals, the positioning contexts are supportive. Recall our letters published earlier this year. If the market consolidated and failed to break substantially, then falling implied volatility (IVOL) and time passing would bolster markets and, potentially, help build a platform for a rally into mid-year. A check of fixed-strike and top-line measures of IVOL like the Cboe Volatility Index or VIX confirms options activities are keeping markets intact.

Graphic: Retrieved from Danny Kirsch of Piper Sandler (NYSE: PIPR). “SPX May $4,150.00 call volatility, the lack of realized volatility weighing on the market. Volatility low, not cheap.”

Beyond the rotation into shorter-dated options, just one of the factors exacerbating the decimation of longer-dated volatility, traders’ consensus is that markets won’t move a lot and/or they don’t need to hedge over longer time horizons; traders want punchier exposure to realized volatility (RVOL), and that they can get through shorter-dated options that have more gamma (i.e., exposure to changes in movement), not vega (i.e., exposure to changes in implied volatility).

Graphic: Retrieved from Goldman Sachs Group Inc (NYSE: GS) via Bloomberg.

Consequently, counterparties may be less dangerous to accelerating movement in either direction; hence, the growing likelihood of a period of flatness.

Graphic: Retrieved from SpotGamma.

“Despite the collapse in the 1-month realized volatility, we suspect most vol control funds have scaled into using their longer-term realized vols, which by design, lead to less aggressive rebalancing flows,” Tier1Alpha says. “For example, the 3-month rVol, which is currently driving our model, was essentially unchanged yesterday, which means volatility targets were maintained, and very little additional rebalancing had to occur. So even with the decline in the 1-month vol, overall risk exposure remained the same.”

With IVOL at a lower bound, the bullish impacts yielded by its compressing have largely played out. There may be more to be gained by movements higher in IVOL, in addition to the expiry of many call options this OpEx. By owning protection, particularly far from current prices, you are positioned to monetize on the market downside and non-linear repricings of volatility, as this letter has discussed in recent history. The caveat is that volatility can cluster and revert for longer; hence, your structure matters.

“I am concerned that VIX is underpricing the series of events that we know to expect over the coming weeks,” says Interactive Brokers Group Inc’s (NASDAQ: IBKR) Steve Sosnick. “While there is now an 88% implied likelihood of a 25 basis point hike, the likely path of any potential future hikes and assumed cuts should be more clarified at the meeting and in its aftermath.  And oh, has anyone ever heard the expression “sell in May and go away?”

Graphic: Retrieved from Interactive Brokers Group Inc (NASDAQ: IBKR).

With call skews far up meaningfully steep in some products, still-present low- and zero-cost call structures this letter has talked about in the past remain attractive. If the market falls apart, your costs are low, and losses are minimal. If markets move higher into a “more combustible” position, wherein “volatility is sticky into a rally,” you may monetize your call structures and roll some of those profits into bear put spreads (i.e., buy put and sell another at a lower strike). An alternative option is neutral. Own something such as a T-bill or box spread (i.e., buy call and sell put at one strike and sell call and buy put at another higher strike). Some boxes are yielding upwards of 5.4% as of yesterday’s close.

To end, though the short-dated options activity may prompt cascading events in market downturns, the main issue is the reduced use of longer-dated options; a supply and demand imbalance likely resolves itself with an implied volatility repricing of a great size where longer-dated options outperform those that are shorter-dated.

Our locking in of rates or using the profits of call structures to position for a potential IVOL repricing, particularly in the back half of the year when dealer positioning is less clear, buybacks are to fall off of a cliff, rates may fall, and the boost from short-covering has played its course, is an attractive proposition given the context.

Graphic: Retrieved from Bloomberg. “The S&P 500 (white line) is well above its levels from early March, while the yield on the 3m-2y spread remains in a deep inversion, signifying meaningful expectations of cuts in the months ahead.”

About

Welcome to the Daily Brief by Physik Invest, a soon-to-launch research, consulting, trading, and asset management solutions provider. Learn about our origin story here, and consider subscribing for daily updates on the critical contexts that could lend to future market movement.

Separately, please don’t use this free letter as advice; all content is for informational purposes, and derivatives carry a substantial risk of loss. At this time, Capelj and Physik Invest, non-professional advisors, will never solicit others for capital or collect fees and disbursements. Separately, you may view this letter’s content calendar at this link.

Categories
Commentary

Daily Brief For March 28, 2023

Physik Invest’s Daily Brief is read free by thousands of subscribers. Join this community to learn about the fundamental and technical drivers of markets.

Graphic updated 7:00 AM ET. Sentiment Neutral if expected /MES open is inside of the prior day’s range. /MES levels are derived from the profile graphic at the bottom of this letter. Click here for the latest levels. SqueezeMetrics Dark Pool Index (DIX) and Gamma (GEX) with the latter calculated based on where the prior day’s reading falls with respect to the MAX and MIN of all occurrences available. A higher DIX is bullish. The lower the GEX, the more (expected) volatility. Click to learn the implications of volatility, direction, and moneyness. Breadth reflects a reading of the prior day’s NYSE Advance/Decline indicator. The CBOE VIX Volatility Index (INDEX: VVIX) reflects the attractiveness of owning volatility. UMBS prices via MNDClick here for the economic calendar.

Administrative

Time for something inspiring! Separate from his work at Physik Invest, founder Renato Leonard Capelj is a journalist interviewing global leaders in business, government, and finance. In his desire to learn and apply the methods of those others who are far more experienced, Capelj has a long list of interviews you may find helpful in strengthening your understanding of markets. Check out some recent ones!

March 10, 2023: Portfolio Manager Prefers Option, Bond Overlays To Hedge Big Uncertainty Facing Markets

Capelj spoke with Simplify Asset Management’s Michael Green about cutting investors’ portfolio volatility while amplifying profit potential.

In response to uncertainty, Green says investors can park cash in short-term near-risk-free bonds yielding 5% or more, as well as allocate some capital to volatility “to introduce a degree of convexity,” risking only the premium paid. Alternatively, investors can take a more optimistic long view and position in innovations like artificial intelligence or next-generation energy production.

January 8, 2023: Two Major Risks Investors Should Watch Out For In 2023

Capelj spoke with The Ambrus Group’s Kris Sidial about his market perspectives.

Naive measures like the VVIX, which is the volatility of the VIX or the volatility of the S&P 500’s volatility, are printing at levels last seen in 2017, Sidial explains, noting this would suggest “we can get cheap exposure to convexity while a lot of people are worried.”

“Even if inflation continues, the rate at which it rises won’t be the same. Due to this, CTA exposures likely will not perform as well as they did in 2022, and that’s why you may see more opportunities in the volatility space.”

June 28, 2022: Former Bridgewater Associate Andy Constan Talks Recession Odds, Capturing A Macro Edge

Capelj spoke with Damped Spring Advisors’ Andy Constan about what investors should focus on and how he creates trades that lose him less money.

Constan’s trades are constructed around two- to four-month time horizons and are structured long and short using defined-risk options trades like debit or credit spreads, depending on whether volatility is cheap or expensive.

I want deltas and leverage. My macro indicators give me an edge on price and in the worst case, the loss is limited to 10%, if everything has to go against me all at once. I can be 100% invested and only risk 10%.”

May 16, 2022: 42 Macro’s Darius Dale On His Wall Street Story, The Markets: ‘This Is Not The Financial Crisis’

Capelj spoke with 42 Macro’s Darius Dale about his Wall Street story and perspectives on life and markets.

“We’re tracking at an above-potential level of output in terms of the growth rate of output. We’re also slowing and the pace of that deceleration is likely to pick up steam in the coming quarters.”

By 2023, that process is likely to “catalyze pressure on asset markets through the lens of corporate earnings and valuations you assign to a lower level of growth.”

July 22, 2021: ShadowTrader’s Peter Reznicek On His Early Days, Tips For Success And Evolution

Capelj spoke with ShadowTrader’s Peter Reznicek about his start, perspectives, success tips, and visions for the future.

Reznicek recalled two turning points in his trading career.

The first was learning from expert floor traders involved with the thinkorswim team.

“That was really the genesis of where I started to learn the broken-wing butterflyratio spread and things like that,” he shared.

Floor traders, according to Reznicek, had low capital requirements. As a result, they could put on strategies like the 1×2 ratio — a debit spread with an extra short option — for a low cost.

(See parts 12, and 3 of ShadowTrader’s how-to series on ratio spreads.)

“On the floor, it is either go big or go home,” he chuckled, remarking that ratio spreads were the way of the casino. “You either get rich or they take your house. So, why would you put on any other spread?”

The next big turning point was Jim Dalton, who’s been a member of the Chicago Board of Trade, as well as a member of the Chicago Board Options Exchange (CBOE) and senior executive vice president of the CBOE during its formative years.

“I’m still in touch with him on a regular basis and I consider him a friend,” Reznicek said in a discussion on Dalton’s works like Mind Over Markets and Markets in Profile, as well as his use of WindoTrader Market Profile software. “I went to Chicago twice to see him teach live … and I came home from those seminars with five, six, 10 pages of notes. The nuances of profile continue to mold me.”

July 26, 2021: Kai Volatility’s Cem Karsan Unpacks Implications Of Fed Taper, Shift To Fiscal Policy And More

Capelj spoke with Kai Volatility Advisors’ Cem Karsan about the implications of record valuations and the growth of derivatives markets on policy, the economy, and financial markets.

“It’s not a coincidence that the mid-February to mid-March 2020 downturn literally started the day after February expiration and ended the day of March quarterly expiration. These derivatives are incredibly embedded in how the tail reacts and there’s not enough liquidity, given the leverage, if the Fed were to taper.”

July 13, 2021: Ambrus Group CIO On Taking Advantage Of Volatility Dislocations

Capelj spoke with The Ambrus Group’s Kris Sidial to understand how to capitalize on volatility dislocations.

Unlike standard tail-risk funds which systematically buy equity puts, Ambrus’ approach is bespoke, cutting down on negative dynamics like decay with respect to time.

Given dislocations across single stock skew, term structure, and volatility risk premium, Ambrus will position itself in options with less time to maturity, buying protection up to six weeks out.

“The market will underestimate the distribution,” Sidial said in a conversation on Ambrus’ internal models that spot positional imbalances to determine who is off-sides and in what single asset. “We’re buying things that have happened before and we’re looking for it to carry a heavier beta when the sell-off happens.”

So, by analyzing flow, as well as using internal models to assess the probabilities of deleveraging in a risk-off event, Ambrus is able to venture into individual stocks where there may be excess fragility; “I know if stock XYZ goes down five percent, it’s going to go down 10% because this fund needs to deleverage.”

To aid the cost to carry, Ambrus utilizes defined-risk, short-volatility, absolute return strategies.

“I’m basically giving you a free put on the market – with a ton of convexity – with something that offers a payout that’s just more than a regular put,” Sidial summarized. “If the market doesn’t do anything, and we do an amazing job, we’re flat and you made money on all your long-only equity exposure.”

“You had a free hedge the entire time.”

February 1, 2021: Volatility Arbitrage Trader Talks GameStop, Market Microstructure, Regulation

Capelj spoke with The Ambrus Group’s Kris Sidial about the meme stock debacle of 2021.

“You have distressed debt hedge funds that focus on shorting these types of companies. Melvin Capital is the one that is singled out due to the media, but they aren’t the only ones.”

Market participants added to the crash-up dynamics. Retail investors aggressively bought stock and short-term call options, while institutional investors further took advantage of the momentum and dislocations.

“You have this dynamic in the derivatives market where there is a gamma squeeze when people are buying way far out-of-the-money calls, and dealers reflexively have to hedge off their risk,” Sidial said.

“It causes a cascading reaction, moving the stock price up because dealers are short calls and they have to buy stock when the delta moves a specific way.”

The participation in the stock on the institutional side has not received much attention, he said. 

“We’ve noticed that some of the flow is more institutional,” he said in reference to activity on the level two and three order books, which are electronic lists of buy and sell orders for a particular security.

“You have certain prop guys and other hedge funds that understand what’s going on, and they’re trying to take advantage of it, as well.”

This institutional activity disrupted traditional correlations and caused shares of distressed debt assets like GameStop, BlackBerry Ltd, and AMC Entertainment Holdings Inc to trade in-line with each other.

“This was not some WallStreetBet user, … if you look at how some of these things were moving premarket, you would see GME drop like 2%, BB’s best bid would drop and AMC’s best bid would drop. That’s an algo.”

The takeaway: although the WallStreetBets crowd is getting most of the blame, institutions are also at fault for the volatility.

Technical

As of 7:00 AM ET, Tuesday’s regular session (9:30 AM – 4:00 PM ET) in the S&P 500 will likely open in the lower part of a balanced overnight inventory, inside the prior day’s range, suggesting a limited potential for immediate directional opportunity.

The S&P 500 pivot for today is $4,003.25. 

Key levels to the upside include $4,026.75, $4,038.75, and $4,049.75.

Key levels to the downside include $3,980.75, $3,955.00, and $3,937.00.

Disclaimer: Click here to load the updated key levels via the web-based TradingView platform. New links are produced daily. Quoted levels likely hold, barring an exogenous development.

Graphic: 65-minute profile chart of the Micro E-mini S&P 500 Futures.

Definitions

Overnight Rally Highs (Lows): Typically, there is a low historical probability associated with overnight rally-highs (lows) ending the upside (downside) discovery process.

Volume Areas: Markets will build on areas of high-volume (HVNodes). Should the market trend for some time, this will be identified by a low-volume area (LVNodes). The LVNodes denote directional conviction and ought to offer support on any test.

If participants auction and find acceptance in an area of a prior LVNode, then future discovery ought to be volatile and quick as participants look to the nearest HVNodes for more favorable entry or exit.

POCs: Areas where two-sided trade was most prevalent in a prior day session. Participants will respond to future value tests as they offer favorable entry and exit.


Definitions

Volume Areas: Markets will build on areas of high-volume (HVNodes). Should the market trend for some time, this will be identified by a low-volume area (LVNodes). The LVNodes denote directional conviction and ought to offer support on any test.

If participants auction and find acceptance in an area of a prior LVNode, then future discovery ought to be volatile and quick as participants look to the nearest HVNodes for more favorable entry or exit.


About

The author, Renato Leonard Capelj, spends the bulk of his time at Physik Invest, an entity through which he invests and publishes free daily analyses to thousands of subscribers. The analyses offer him and his subscribers a way to stay on the right side of the market. 

Separately, Capelj is an accredited journalist with past works including interviews with investor Kevin O’Leary, ARK Invest’s Catherine Wood, FTX’s Sam Bankman-Fried, North Dakota Governor Doug Burgum, Lithuania’s Minister of Economy and Innovation Aušrinė Armonaitė, former Cisco chairman and CEO John Chambers, and persons at the Clinton Global Initiative.

Connect

Direct queries to renato@physikinvest.com. Find Physik Invest on TwitterLinkedInFacebook, and Instagram. Find Capelj on TwitterLinkedIn, and Instagram. Only follow the verified profiles.

Calendar

You may view this letter’s content calendar at this link.

Disclaimer

Do not construe this newsletter as advice. All content is for informational purposes. Capelj and Physik Invest manage their own capital and will not solicit others for it.

Categories
Commentary

Daily Brief For March 27, 2023

Physik Invest’s Daily Brief is read free by thousands of subscribers. Join this community to learn about the fundamental and technical drivers of markets.

Graphic updated 9:10 AM ET. Sentiment Risk-On if expected /MES open is above the prior day’s range. /MES levels are derived from the profile graphic at the bottom of this letter. Click here for the latest levels. SqueezeMetrics Dark Pool Index (DIX) and Gamma (GEX) with the latter calculated based on where the prior day’s reading falls with respect to the MAX and MIN of all occurrences available. A higher DIX is bullish. The lower the GEX, the more (expected) volatility. Click to learn the implications of volatility, direction, and moneyness. Breadth reflects a reading of the prior day’s NYSE Advance/Decline indicator. The CBOE VIX Volatility Index (INDEX: VVIX) reflects the attractiveness of owning volatility. UMBS prices via MNDClick here for the economic calendar.

Administrative

Sorry for the delay. Please read through the positioning section. Have a great Monday!

As always, if there are holes or unclear language. We will fix this in the next letters.

Fundamental

On 3/22, we mentioned news of Russia wanting to adopt the yuan for settlements.

And, with that, publications covering these East alliances use some tough language. One Bloomberg article notes China and Russia “roll[ing] back US power and alliances … [to] create a multipolar world … [and] diminish the reach of democratic values, so autocratic forms of government are secure and even supreme.”

Let’s rewind a bit to understand why all the toughness and fear.

Recall Chinese President Xi Jinping speaking with Saudi and GCC leaders. Here is our 1/4 summary takeaway:

Graphic: Retrieved from Physik Invest’s Daily Brief for January 4, 2023.

Essentially, those remarks confirm the East is hedging sanctions risk. Reliance on the West is falling, and this inevitably will present “non-linear shocks” (i.e., “inflation mess caused by geopolitics, resource nationalism, and BRICS”) monetary policymakers are not equipped to handle. So, are the markets at risk?

This most recent meeting between China and Russia increases the risks of unwinding the “debt-fueled economy in the US,” FT’s Rana Foroohar confirms, as we wrote in the Daily Brief for 1/4. Further, this is a threat to “hidden leverage and opaqueness.” That means the markets are at risk. Let’s explain more.

Read: Saudi National Bank Chair Resigns After Credit Suisse Remarks Helped Trigger A Slump In The Stock And Bonds That Prompted The Swiss Government To Step In And Arrange Its Takeover – Bloomberg

Graphic: Retrieved from Bloomberg.

With the encumbrance of commodities, among other initiatives, these nations’ weight in currency baskets may rise and keep “inflation from slowing.” If that happens, future rate expectations are off. Additionally, “the US dollar and Treasury securities will likely be dealing with issues they never had to deal with before: less demand, not more; more competition, not less,” we quoted Zoltan Pozsar (ex-Credit Suisse) saying on 1/5.

The markets most responsive to this are public, as we saw with 2022’s de-rate. In 2023 and beyond, added liquidation-type risks lie in the private markets. This will have knock-on effects.

Graphic: Retrieved from VoxEU.

The likes of The Ambrus Group’s Kris Sidial mentioned to your newsletter writer in a Benzinga interview that private market investors’ raising of cash to meet capital calls could prompt sales of their more liquid public market holdings. This is a major risk Sidial noted he was watching, in addition to some risks in the derivatives markets.

At the same time, Eric Basmajian believes the “banking crisis will cause a tightening of money and credit.” This will further solidify the “broader business cycle and corporate profit recession.”

Graphic: Retrieved from Bloomberg. Per John Authers, “the combination of deeply troubled banks and strong performance for the rest of the stock market cannot persist much longer.”

Positioning

Sidial’s well positioned to take advantage of the realization of these risks. In January, he explained that measures like the Cboe VIX Volatility Index (INDEX: VVIX) were low. This suggested, “we can get cheap exposure to convexity while a lot of people are worried.” In an update to Bloomberg, Sidial said The Ambrus Group’s tail-risk strategy (which Sidial has explained to us before) has performed well as the VIX index has risen, a sign of traders hedging concerns about “some contagion hitting and their portfolios being destroyed on that.”

Graphic: Retrieved from Bloomberg.

“We have seen an increase in tail hedging,” added Chris Murphy of Susquehanna International Group. “We have continued to see call buying in the VIX since the bank turmoil began.” The caveat, though, is that realized volatility or RVOL, not just implied volatility or IVOL (i.e., that which is implied by traders’ supply and demand of options), must shift and stay higher for those options to maintain their values, which may be difficult according to Kai Volatility’s Cem Karsan.

Though Karsan thinks markets will likely see RVOL come back in a big way, he thinks policymakers’ intervention will be stimulative short-term as it reverses a lot of the quantitative tightening or QT (i.e., flow of capital out of capital markets). Stimulation will be compounded by the continued unwinding of hedging strategies in previously depressed products like the Nasdaq 100 (INDEX: NDX). What do we mean by this?

Recall that traders’ closure and/or monetization of put protection results in options counterparties buying back their short stock and/or futures hedges. Therefore, before any downside is realized, the market may trade into a far “more combustible” position.

Consequently, look for low- and zero-cost call structures (e.g., ratio spreads) to play the upside while opportunistically using higher prices and elevated volatility skew to put on bear put spreads (i.e., buy put and sell another put at a lower strike price) for cheaper prices.

Consider following and supporting us on social media:

Technical

As of 9:10 AM ET, Monday’s regular session (9:30 AM – 4:00 PM ET), in the S&P 500, is likely to open in the upper part of a positively skewed overnight inventory, outside of the prior day’s range, suggesting a potential for immediate directional opportunity.

The S&P 500 pivot for today is $4,026.75. 

Key levels to the upside include $4,038.75, $4,049.75, and $4,062.25.

Key levels to the downside include $4,004.25, $3,994.25, and $3,980.75.

Disclaimer: Click here to load the updated key levels via the web-based TradingView platform. New links are produced daily. Quoted levels likely hold barring an exogenous development.

Graphic: 65-minute profile chart of the Micro E-mini S&P 500 Futures.

Definitions

Volume Areas: Markets will build on areas of high-volume (HVNodes). Should the market trend for some time, this will be identified by a low-volume area (LVNodes). The LVNodes denote directional conviction and ought to offer support on any test.

If participants auction and find acceptance in an area of a prior LVNode, then future discovery ought to be volatile and quick as participants look to the nearest HVNodes for more favorable entry or exit.


About

The author, Renato Leonard Capelj, spends the bulk of his time at Physik Invest, an entity through which he invests and publishes free daily analyses to thousands of subscribers. The analyses offer him and his subscribers a way to stay on the right side of the market. 

Separately, Capelj is an accredited journalist with past works including interviews with investor Kevin O’Leary, ARK Invest’s Catherine Wood, FTX’s Sam Bankman-Fried, North Dakota Governor Doug Burgum, Lithuania’s Minister of Economy and Innovation Aušrinė Armonaitė, former Cisco chairman and CEO John Chambers, and persons at the Clinton Global Initiative.

Connect

Direct queries to renato@physikinvest.com. Find Physik Invest on TwitterLinkedInFacebook, and Instagram. Find Capelj on TwitterLinkedIn, and Instagram. Only follow the verified profiles.

Calendar

You may view this letter’s content calendar at this link.

Disclaimer

Do not construe this newsletter as advice. All content is for informational purposes. Capelj and Physik Invest manage their own capital and will not solicit others for it.

Categories
Methodology

Successful Traders’ Tips To Beat The Markets

Separate from his work at Physik Invest, founder Renato Leonard Capelj is an accredited journalist interviewing prestigious global leaders in business, government, and finance.

In his desire to learn and apply the methods of those others who are far more experienced, Capelj has a long list of interviews you may find helpful in strengthening your understanding of markets.

March 10, 2023: Portfolio Manager Prefers Option, Bond Overlays To Hedge Big Uncertainty Facing Markets

Capelj spoke with Simplify Asset Management’s Michael Green about cutting investors’ portfolio volatility while amplifying profit potential.

In response to uncertainty, Green says investors can park cash in short-term near-risk-free bonds yielding 5% or more, as well as allocate some capital to volatility “to introduce a degree of convexity,” risking only the premium paid. Alternatively, investors can take a more optimistic long view and position in innovations like artificial intelligence or next-generation energy production.

Michael Green of Simplify Asset Management

January 8, 2023: Two Major Risks Investors Should Watch Out For In 2023

Capelj spoke with The Ambrus Group’s Kris Sidial about his market perspectives.

Naive measures like the VVIX, which is the volatility of the VIX or the volatility of the S&P 500’s volatility, are printing at levels last seen in 2017, Sidial explains, noting this would suggest “we can get cheap exposure to convexity while a lot of people are worried.”

“Even if inflation continues, the rate at which it rises won’t be the same. Due to this, CTA exposures likely will not perform as well as they did in 2022, and that’s why you may see more opportunities in the volatility space.”

Kris Sidial of The Ambrus Group

June 28, 2022: Former Bridgewater Associate Andy Constan Talks Recession Odds, Capturing A Macro Edge

Capelj spoke with Damped Spring Advisors’ Andy Constan about what investors should focus on and how he creates trades that lose him less money.

Constan’s trades are constructed around two- to four-month time horizons and are structured long and short using defined-risk options trades like debit or credit spreads, depending on whether volatility is cheap or expensive.

I want deltas and leverage. My macro indicators give me an edge on price and in the worst case, the loss is limited to 10%, if everything has to go against me all at once. I can be 100% invested and only risk 10%.”

Andy Constan of Damped Spring Advisors

May 16, 2022: 42 Macro’s Darius Dale On His Wall Street Story, The Markets: ‘This Is Not The Financial Crisis’

Capelj spoke with 42 Macro’s Darius Dale about his Wall Street story and perspectives on life and markets.

“We’re tracking at an above-potential level of output in terms of the growth rate of output. We’re also slowing and the pace of that deceleration is likely to pick up steam in the coming quarters.”

By 2023, that process is likely to “catalyze pressure on asset markets through the lens of corporate earnings and valuations you assign to a lower level of growth.”

Darius Dale of 42 Macro

July 22, 2021: ShadowTrader’s Peter Reznicek On His Early Days, Tips For Success And Evolution

Capelj spoke with ShadowTrader’s Peter Reznicek about his start, perspectives, success tips, and visions for the future.

Reznicek recalled two turning points in his trading career.

The first was learning from expert floor traders involved with the thinkorswim team.

“That was really the genesis of where I started to learn the broken-wing butterflyratio spread and things like that,” he shared.

Floor traders, according to Reznicek, had low capital requirements. As a result, they could put on strategies like the 1×2 ratio — a debit spread with an extra short option — for a low cost.

(See parts 12, and 3 of ShadowTrader’s how-to series on ratio spreads.)

“On the floor, it is either go big or go home,” he chuckled, remarking that ratio spreads were the way of the casino. “You either get rich or they take your house. So, why would you put on any other spread?”

The next big turning point was Jim Dalton, who’s been a member of the Chicago Board of Trade, as well as a member of the Chicago Board Options Exchange (CBOE) and senior executive vice president of the CBOE during its formative years.

“I’m still in touch with him on a regular basis and I consider him a friend,” Reznicek said in a discussion on Dalton’s works like Mind Over Markets and Markets in Profile, as well as his use of WindoTrader Market Profile software. “I went to Chicago twice to see him teach live … and I came home from those seminars with five, six, 10 pages of notes. The nuances of profile continue to mold me.”

Peter Reznicek of ShadowTrader

July 26, 2021: Kai Volatility’s Cem Karsan Unpacks Implications Of Fed Taper, Shift To Fiscal Policy And More

Capelj spoke with Kai Volatility Advisors’ Cem Karsan about the implications of record valuations and the growth of derivatives markets on policy, the economy, and financial markets.

“It’s not a coincidence that the mid-February to mid-March 2020 downturn literally started the day after February expiration and ended the day of March quarterly expiration. These derivatives are incredibly embedded in how the tail reacts and there’s not enough liquidity, given the leverage, if the Fed were to taper.”

Cem Karsan of Kai Volatility Advisors

July 13, 2021: Ambrus Group CIO On Taking Advantage Of Volatility Dislocations

Capelj spoke with The Ambrus Group’s Kris Sidial to understand how to capitalize on volatility dislocations.

Unlike standard tail-risk funds which systematically buy equity puts, Ambrus’ approach is bespoke, cutting down on negative dynamics like decay with respect to time.

Given dislocations across single stock skew, term structure, and volatility risk premium, Ambrus will position itself in options with less time to maturity, buying protection up to six weeks out.

“The market will underestimate the distribution,” Sidial said in a conversation on Ambrus’ internal models that spot positional imbalances to determine who is off-sides and in what single asset. “We’re buying things that have happened before and we’re looking for it to carry a heavier beta when the sell-off happens.”

So, by analyzing flow, as well as using internal models to assess the probabilities of deleveraging in a risk-off event, Ambrus is able to venture into individual stocks where there may be excess fragility; “I know if stock XYZ goes down five percent, it’s going to go down 10% because this fund needs to deleverage.”

To aid the cost to carry, Ambrus utilizes defined-risk, short-volatility, absolute return strategies.

“I’m basically giving you a free put on the market – with a ton of convexity – with something that offers a payout that’s just more than a regular put,” Sidial summarized. “If the market doesn’t do anything, and we do an amazing job, we’re flat and you made money on all your long-only equity exposure.”

“You had a free hedge the entire time.”

Kris Sidial of The Ambrus Group

February 1, 2021: Volatility Arbitrage Trader Talks GameStop, Market Microstructure, Regulation

Capelj spoke with The Ambrus Group’s Kris Sidial about the meme stock debacle of 2021.

“You have distressed debt hedge funds that focus on shorting these types of companies. Melvin Capital is the one that is singled out due to the media, but they aren’t the only ones.”

Market participants added to the crash-up dynamics. Retail investors aggressively bought stock and short-term call options, while institutional investors further took advantage of the momentum and dislocations.

“You have this dynamic in the derivatives market where there is a gamma squeeze when people are buying way far out-of-the-money calls, and dealers reflexively have to hedge off their risk,” Sidial said.

“It causes a cascading reaction, moving the stock price up because dealers are short calls and they have to buy stock when the delta moves a specific way.”

The participation in the stock on the institutional side has not received much attention, he said. 

“We’ve noticed that some of the flow is more institutional,” he said in reference to activity on the level two and three order books, which are electronic lists of buy and sell orders for a particular security.

“You have certain prop guys and other hedge funds that understand what’s going on, and they’re trying to take advantage of it, as well.”

This institutional activity disrupted traditional correlations and caused shares of distressed debt assets like GameStop, BlackBerry Ltd, and AMC Entertainment Holdings Inc to trade in-line with each other.

“This was not some WallStreetBet user, … if you look at how some of these things were moving premarket, you would see GME drop like 2%, BB’s best bid would drop and AMC’s best bid would drop. That’s an algo.”

The takeaway: although the WallStreetBets crowd is getting most of the blame, institutions are also at fault for the volatility.

Kris Sidial of The Ambrus Group