Daily Brief For August 12, 2022

Daily commentary for U.S. broad market indices.

The daily brief is a free glimpse into the prevailing fundamental and technical drivers of U.S. equity market products. Join the 750+ that read this report daily, below!

Graphic updated 7:00 AM ET. Sentiment Neutral if expected /ES open is inside of the prior day’s range. /ES levels are derived from the profile graphic at the bottom of the following section. Levels may have changed since initially quoted; click here for the latest levels. SqueezeMetrics Dark Pool Index (DIX) and Gamma (GEX) calculations are 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. At the same time, the lower the GEX, the more (expected) volatility. Learn the implications of volatility, direction, and moneyness. Breadth reflects a reading of the prior day’s NYSE Advance/Decline indicator. VIX reflects a current reading of the CBOE Volatility Index (INDEX: VIX) from 0-100.


We’ll skip the fundamentals section, today, and do an in-depth review, sometime next week.


As of 7:00 AM ET, Friday’s expected volatility, via the Cboe Volatility Index (INDEX: VIX), sits at ~1.06%. Net gamma exposures generally rising may promote tighter trading ranges.

Graphic: Via Physik Invest. Data retrieved from SqueezeMetrics.

As stated yesterday, it may be beneficial for traders to shift their focus to dynamic structures. In other words, be a buyer of options structures (i.e., replace static directional exposures or Delta with those that are dynamic).

This is (1) due to where realized (RVOL) and implied (IVOL) volatility measures, and skew. 

Graphic: Retrieved from Interactive Brokers Group Inc’s (NASDAQ: IBKR) Trader Workstation.

As well as (2) increased average stock correlation and lower return dispersion which, per Societe Generale SA (OTC: SCGLY) research, make stock picking hard(er).

It can be the case that Delta hedging becomes easier, too, as one asset, in a more correlated environment, can better offset the first-order sensitivities elsewhere.

Graphic: Retrieved from Bloomberg. Via Societe Generale.

The reason why? 

In regards to the correlation and dispersion remark, that’s more to do with the risk-off sentiment and the impact of tightening liquidity affecting all risk assets, basically.

Graphic: Via Physik Invest. Data compiled by @jkonopas623. Fed Balance Sheet data, here. Treasury General Account Data, here. Reverse Repo data, here. NL = BS – TGA – RRP.

Regarding the volatility issue (RVOL, IVOL, and skew), that’s more to do with hedging trends. 

Essentially, the monetization and counterparty hedging of existing customer hedges, as well as the sale of short-dated volatility, particularly in some of the single names where there was “rich” volatility, into the fall, lent to lackluster performance in IVOL and index mean reversion.

Accordingly, “if commodities are not performing … as a hedge, that opens the door,” to markets falling and traders demand equity volatility hedges, per The Ambrus Group’s Kris Sidial.

Learn about options dealer flows, inflation, and investing in a changing world with Cem Karsan.
Graphic: Retrieved by Physik Invest from TradingView. S&P Goldman Sachs Commodity Index.

Adding, per to SpotGamma, “a lot of the boost from volatility compression has played out. With IVOL at a lower bound, it may be opportune to replace static Delta bets for those that are dynamic (i.e., long option exposures) and have less to lose in this lower volatility environment.”

Graphic: Retrieved from Vix Central. The term structure of IVOL.

“In a case where market participants see the Fed keeping its commitment to aggressive monetary policy action, negative Delta options exposures may outperform static short equity (bets on the downside).”

Graphic: Retrieved from Bloomberg. “Thursday’s message was that on mature reflection, the progress on the economy didn’t justify taking the stock market any higher than it was at the start of the day.”

If bullish, sample structures to consider, given a smiley skew, include low- or zero-cost bullish call ratio spreads, against the trend resistances in products like the S&P 500 (INDEX: SPX).

Graphic: Retrieved from Bloomberg. Drawn on by Physik Invest.


As of 7:00 AM ET, Friday’s regular session (9:30 AM – 4:00 PM ET), in the S&P 500, is likely to open in the middle part of a nearly balanced overnight inventory, inside of prior-range and -value, suggesting a limited potential for immediate directional opportunity.

In the best case, the S&P 500 trades higher.

Any activity above the $4,227.75 HVNode puts into play the $4,253.25 HVNode. Initiative trade beyond the latter could reach as high as the $4,275.75 LVNode and $4,303.00 Weak High, or higher.

In the worst case, the S&P 500 trades lower.

Any activity below the $4,227.75 HVNode puts into play the $4,202.75 RTH Low. Initiative trade beyond the RTH Low could reach as low as the $4,189.25 LVNode and $4,153.25 HVNode, or lower.

Click here to load today’s key levels into the web-based TradingView charting platform. Note that all levels are derived using the 65-minute timeframe. New links are produced, daily.
Graphic: 65-minute profile chart of the Micro E-mini S&P 500 Futures.


Volume Areas: A structurally sound market will build on areas of high volume (HVNodes). Should the market trend for long periods of time, it will lack sound structure, identified as low volume areas (LVNodes). LVNodes denote directional conviction and ought to offer support on any test. 

If participants were to auction and find acceptance into areas of prior low volume (LVNodes), then future discovery ought to be volatile and quick as participants look to HVNodes for favorable entry or exit.

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

MCPOCs: POCs are valuable as they denote areas where two-sided trade was most prevalent over numerous day sessions. Participants will respond to future tests of value as they offer favorable entry and exit.

Volume-Weighted Average Prices (VWAPs): A metric highly regarded by chief investment officers, among other participants, for quality of trade. Additionally, liquidity algorithms are benchmarked and programmed to buy and sell around VWAPs.


After years of self-education, strategy development, mentorship, and trial-and-error, Renato Leonard Capelj began trading full-time and founded Physik Invest to detail his methods, research, and performance in the markets.

Capelj also develops insights around impactful options market dynamics at SpotGamma and is a Benzinga reporter.

Some of his works include conversations with ARK Invest’s Catherine Wood, investors Kevin O’Leary and John Chambers, FTX’s Sam Bankman-Fried, ex-Bridgewater Associate Andy Constan, Kai Volatility’s Cem Karsan, The Ambrus Group’s Kris Sidial, among many others.


In no way should the materials herein be construed as advice. Derivatives carry a substantial risk of loss. All content is for informational purposes only.

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