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Probability Map November 23rd

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Meta Strategy Derivatives Portfolio – Probability Map Update

The dashboard shows my current data-driven estimate of the probabilities for future returns of the S&P 500 over the short term (1 – 8 weeks), medium term (3 – 6 months), and long term (6 – 18 months), followed by a detailed probability map table. It is updated each Monday  and is followed by key market drivers, relevant studies, price targets, model portfolios, and trading ideas. Please check back here for updates around key price levels during the week.

For background information, please read this article.

Probability Dashboard

Current Research and Analysis

OpEx and Seasonality
We are at an interesting juncture in the markets, as the last 5 weeks of a manic year 2020 are beginning.

The large rally coming off the US presidential election was driven by an exceptionally strong flow of liquidity from the options market. But despite additional inflows into equities, the stock market hit a ceiling last week, as mechanical hedging unwinds from options dealers lost their force, to finally ebb to a low on Friday’s monthly option expiration (OpEx). 

This weakness may persist through the shortened Thanksgiving week while a new magnet is building up attraction: the December 18th OpEx. Traditionally, the December OpEx (through annual portfolio hedges) holds the highest put option open interest — a setup that has a tendency to play out in either black or white:

1. Rising prices and falling volatility create a feedback loop (Vanna, Charm & Gamma), pulling the market up to create the classic Santa Claus rally and January effect that often carries over well into the new year. 

2. Price breaks down below key levels (watch out for Zero Gamma and VIX futures term structure inversion) and the opposite effect takes place: the price drop accelerates as volatility spikes, because market makers must short equity futures to increase the hedge on their short put positions as prices move toward their strike prices.

Seasonality and strong market breadth support a positive outcome: on average any weakness during the end of November is followed by a rally into the year end. But, remembering December 2018 as an example, the opposite scenario can lead to significant downside, even if the chance for that to happen is significantly lower.

Probability ≠ Certainty: All that I state here are my personal ideas and best guesses, which I use to make my own investment decisions. (I may hold positions discussed here.) It is not investment advice. Everyone is responsible for their own investment decisions and potential losses.

Key Insights

(only change gradually and at major inflection points)

Current Market Environment (defined by Meta Strategy Indicators): Volatile Bull Market Regime

Current Influential Market Drivers

(details change frequently as new information is included continually)

Andrew Thrasher does a deep dive into breadth in his article “Can you have too much of a good thing?”

Conclusion and most probable scenario

We are in a bull market regime, which is the most profitable, “normal“ environment, seen about 75% of the time. Falling volatility may change my classification to the most stable designation “Quiet Bull Market Regime” soon.

Weakness around the option expiration date (last Friday) creates a buyable dip.

As we are starting to see large flows into equities, my primary scenario is that many market participants have been waiting for a resolution to the US elections to position themselves in stocks. This could continue to provide a solid tailwind for equities going into the year end. 

The ensuing rally should continue more slowly and look more natural: the typical 2-steps-forward-1-step-back bull market staircase.

On the other hand, a quick drop below important support areas (3510), paired with an inversion of the VIX futures term structure, could be a tell-tale sign for the opposite scenario — an accelerated drop.

Main Fundamental market drivers

Further Outlook

Target Areas for the Meta Strategy Derivatives Portfolio

Please check back during the week for new updates at key levels.

Long Targets target reached  commenttarget probabilityderivatives exposure change*
3670 – 3690strong resistancemain targetreduce long
3830 – 3880max. targetreduce long

*size of planned exposure changes = max. position / number of targets (details in planned portfolio adjustments)

Short Targetstarget reached  commenttarget probabilityderivatives exposure change*
3580 – 3610breakout areamin. targetlong entry 
3510 – 3540major support, zero gammamain targetlong entry 
3410 – 3460major support
3230 – 3270correction low, lower trend-line

*size of planned exposure changes = position / number of targets (details below)

CURRENT TRADE SETUPS

Check back for updated tables during the week when indicated key levels are reached.

Buy The Gamma Dip: (High probability short-term trade – trade setup & rules)

Enter long S&P 500 at any random 1-2 ATR (30-day average true range = average daily market move) dip in an uptrend. Trade setup activates with long gamma exposure and a new S&P 500 intermediate high.

I add these short-term positions independently of the portfolio exposure indicated in the target areas above or use the setup to add long positions coinciding with my trading portfolio – be careful not to overshoot maximum exposure levels.

Trade Idea: At long gamma exposure, option market makers are forced to buy market dips to adjust hedges, often causing a quick snap-back rally. The Zero Gamma Exposure level is an important support area.

Preferred Instruments: ES/MES Futures (table shows futures pricing approx. 5 points below SPX), options or CFD; probability for success = 70%

High S&P (ES)Entry 1 H-(ATR+10)Entry 2 H-E1-0,5xATRATR (30)Avrg EntryStop LossProfit Target 1Profit Target 2Zero Gamma
36703590 √3555 √703572,53480366536903515

The Meta Strategy Derivatives Model Portfolio

Please check back during the week for new updates at key levels.

Full disclosure: These are the current positions and instruments I am invested in with the capital dedicated to the Meta Strategy Derivatives Portfolio.
A balanced exposure to the current probability estimate is achieved by combining long-term ETF positions with derivatives that are held short term.

Positions may change at any time – roughly according to the target tables above, but exact entry and exit points may vary. Instruments are not a recommendation as there are many equally valid ways to express current probabilities; e.g. ETFs, volatility products, CFDs, futures and many more. Also the decision of how to set maximum leverage and risk levels fits me personally and every trader has to be mindful of their own risk tolerance.

Investment Portfolio: the Meta Strategy Aggressive ETF Portfolio 
(with 80% of the capital dedicated to the Meta Strategy Derivatives Portfolio)

Trading Portfolio: derivatives sleeve
(20% of capital – the size of this is the decisive factor for the maximum level of portfolio leverage)

Current Portfolio Leverage Level (approximately, stocks only): 3x long (this can be adjusted by dedicating a different percentage of available capital to the trading portfolio which will influence maximum leverage levels strongly)

Have a safe trading week!

David

Disclaimer

This report is a description of my own investment approach and ideas, and I personally invest in the Meta Strategy Derivatives Portfolio. The content of this letter is for entertainment purposes only and not meant to be investment advice to others.

I am not an investment advisor and I do not provide individual investment advice. None of the ideas in this letter are meant to be construed as professional financial advice.

Your investment decisions are solely your own responsibility, and I am not legally or financially responsible for any losses you may incur from reading or using the content of this letter.

© 2020 David Steets, all rights reserved – please be fair and do not distribute without my permission

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