Products
SentimenTrader Trading Tools
‍
Backtest Engine
My Trading Toolkit
Correlation Analysis
Seasonality
Indicators & Data API
‍
Proprietary Indicators & Charts
Market Data API
Strategies & Scanner
‍
50+ Trading Strategies
Smart Stock Scanner
Research Reports
‍
Research Solutions
Reports Library
Free Resources
Simple Backtest Calculator
Simple Seasonality Calculator
The Kelly Criterion Calculator
Sentiment Geo Map
Public Research Reports
Education
Sentiment Indicators
Technical Indicators
Pricing
Company
About
In the News
Testimonials
Client Success Stories
Contact
Log inLoginSign up
< BACK TO ALL REPORTS

Daily Report : What happens when S&P tries to swallow a whale

Jason Goepfert
2020-11-18
When Standard & Poor's feels the pressure to add an ultra-large stock to the index, it has typically come after a rally, and forward returns were below average. For the large stocks themselves, once they were actually added to the index, they had a tendency to see lower prices over the next few months.
View/Print a PDF version of this Report

Headlines


What happens when S&P tries to swallow a whale: When Standard & Poor's feels the pressure to add an ultra-large stock to the index, it has typically come after a rally, and forward returns were below average. For the large stocks themselves, once they were actually added to the index, they had a tendency to see lower prices over the next few months.

Uptrends are sliding back: After the surge in stocks with uptrends, roughly defined by being above their 200-day averages, Wednesday's selling triggered a pause. Now fewer than 90% of stocks in the S&P 500 are above their long-term trends. The Backtest Engine shows that when this happens, the index was higher a month later after 33 out of 41 signals. When it was the first signal in at least a year, there were virtually no losses across the 6 distinct instances. Extreme momentum doesn't die easily.

Bottom Line:

  • The market environment is pristine, but with near-historic optimism, gains tend to be muted, with a high probability of being reversed at some point over the ensuing weeks.
  • Market environment (More info)
    PositivesNegatives
    1. Price pattern1. % of Stocks in Correction
    2. Moving averages
    3. McClellan Summation

    4. % Stocks > 200-Day
    5. Net New Highs / Lows

  • Sentiment / Breadth / Other
    PositivesNegatives
    1. Big up volume (and again)1. Confidence high (!)
    2. Surging small-caps2. Too much options speculation
    3. Surging tech stocks3. Equities high vs GDP, Assets
    4. Mar-May thrusts, recoveries4. IPO market too hot
    5. Excess liquidity is high
  • Other Sectors and Assets
    PositivesNegatives
    1. Energy (here, here, and here)1. Skewed tech (here and here)

    2. Dollar test

Smart / Dumb Money Confidence

Smart Money Confidence: 13% Dumb Money Confidence: 81%

Risk Levels

Stocks Short-Term

Stocks Medium-Term

Bonds

Crude Oil

Gold

Agriculture

Research

What happens when S&P tries to swallow a whale

BOTTOM LINE
When Standard & Poor's feels the pressure to add an ultra-large stock to the index, it has typically come after a rally, and forward returns were below average. For the large stocks themselves, once they were actually added to the index, they had a tendency to see lower prices over the next few months.

FORECAST / TIMEFRAME
None

An event that Elon Musk fans have been waiting for all year finally happened, with the announcement that Tesla would be added to the most important equity benchmark in the world. There are trillions invested based on the S&P 500 index, and inclusion brings a certain cachet.

What it doesn't usually bring is profit.

Even though being added to the index seemed widely expected, investors were disappointed the last time the S&P updated its index and Tesla wasn't included. Perhaps they were once bitten, twice shy. Regardless, the news was enough to trigger a pop at Tuesday's open which faded during the rest of the day.

Going back to 1979, we looked for every time the Standard & Poor's committee added a new stock to the index of (approximately) 500 stocks in the S&P 500. We filtered it to only look at the stocks that had the largest market capitalizations at the time of the announcement. Tesla will be -  by far - the largest stock the index tries to swallow at the moment of inclusion.

For the S&P, it preceded mostly below-average returns going forward. Over the next 6 months, it averaged a measly 0.8%, nearly 3 standard deviations below a random 6-month return over the past 25 years. There were no additions prior to 1994 that made the list of largest market cap stocks added to the index.

For the stocks themselves, forward returns from the date of the announcement were pretty good. Excluding the bubble additions in 1999-2000, the returns were even better, though there have been some big oopsies over the past 5 years.

Where it gets interesting is that returns turn significantly south once the stock is actually added to the index, which on average has been around 7 trading days after the announcement date. By this time, investors have front-run the index in anticipation of all the passive buying that should flood into the stock.

Once the stock was added to the index, it had a strong tendency to see poor returns immediately and up to a week later. There were some rebounds after that, but by 3 months later, only 41% of them sported a price that was higher than the close on the date it was added to the index.

For Tesla bulls, it's a modest warning that much of the good news about being added to the most important index in the world may have already been priced in. It's even more of a challenge that the stock is so huge to begin with.


Active Studies

Click here to view the Active Research on the site.
Time FrameBullishBearish
Short-Term00
Medium-Term58
Long-Term512

Indicators at Extremes

Click here to view on the site (% Extremes and "Excess" tabs on the dashboard).
% Showing Pessimism: 5%
Bullish for Stocks

S&P 500 Down Pressure
VIX
% Showing Optimism: 49%
Bearish for Stocks

Smart Money / Dumb Money Confidence Spread
Intermediate Term Optimism Index (Optix)
Smart Money Confidence
Dumb Money Confidence
% Showing Excess Optimism
% Showing Excess Pessimism
Fidelity Funds Breadth
NYSE Arms Index
NYSE High/Low Ratio
Rydex Ratio
Rydex Beta Chase Index
Rydex Money Market %
Rydex Bull/Bear RSI Spread
Rydex Sector Breadth
Equity Put/Call Ratio
OEX Open Interest Ratio
OEX Put/Call Ratio
Risk Appetite Index
Options Speculation Index
AIM (Advisor and Investor Model)
ROBO Put/Call Ratio
Insider Buy/Sell Seasonally Adj
NAAIM Exposure Index
AAII Bull Ratio
AAII Allocation - Stocks
Retail Money Market Ratio
NYSE Available Cash
Mutual Fund Cash Level
Equity / Money Market Asset Ratio

Portfolio

PositionDescriptionWeight %Added / ReducedDate
Stocks15.6% RSP, 10.1% VWO, 7.5% XLE, 5.1% PSCE38.2Added 5%2020-10-15
Bonds10% BND, 10% SCHP, 10% ANGL29.7Reduced 0.1%2020-10-02
CommoditiesGCC2.4Reduced 2.1%
2020-09-04
Precious MetalsGDX4.7Added 5%2020-09-09
Special Situations0.0Reduced 5%2020-10-02
Cash25.0
Updates (Changes made today are underlined)

After the September swoon wrung some of the worst of the speculation out of stocks, there are some signs that it's returning, especially in the options market. It's helped to push Dumb Money Confidence above 70%.

A big difference between now and August is that in August, there was a multitude of days with exceptionally odd breadth readings. Some of the biggest stocks were masking underlying weakness. Combined with heavy speculative activity, it was a dangerous setup.

Now, we've seen very strong internal strength, in the broad market, as well as tech and small-cap stocks. Prior signals almost invariably led to higher prices. That's hard to square with the idea that forward returns tend to be subdued when Confidence is high, but that's less reliable during healthy market conditions, which we're seeing now (for the most part).

I added some risk with small-cap energy stocks, due to an increasing number of positive signs in both small-caps and energy. This is intended as a long-term position.


RETURN YTD:  3.4%

2019: 12.6%, 2018: 0.6%, 2017: 3.8%, 2016: 17.1%, 2015: 9.2%, 2014: 14.5%, 2013: 2.2%, 2012: 10.8%, 2011: 16.5%, 2010: 15.3%, 2009: 23.9%, 2008: 16.2%, 2007: 7.8%

Phase Table

Click here to view the Phase Table on the site.

Ranks

Click here to view on the site (Ranks tab on the Dashboard).

Sentiment Around The World

Click here to view on the site.

Optimism Index Thumbnails

Sector ETF's - 10-Day Moving Average
Country ETF's - 10-Day Moving Average
Bond ETF's - 10-Day Moving Average
Currency ETF's - 5-Day Moving Average
Commodity ETF's - 5-Day Moving Average

Sorry, you don't have access to this report

Upgrade your subscription plan to get access
Go to Dasboard
PRODUCTS
SentimenTrader
Trading Tools
Indicators & Data API
‍
Strategies & Scanner
‍
Research Reports
FREE
RESOUrCES
Simple Backtest
Calculator
Simple Seasonality
Calculator
The Kelly Criterion
Calculator
Sentiment Geo Map
‍
Public Research Reports
‍
Education
Sentiment Indicators
‍
Technical Indicators
‍
Pricing
Bundle pricing
‍
FAQ
‍
Announcements
‍
COMPANY
‍
About
‍
In the News
‍
Testimonials
‍
Client Success Stories
CONTACT
‍
General Inquiries
‍
Media Inquiries
‍
Financial Professionals Inquiries
‍
© 2025 Sundial Capital Research Inc. All rights reserved.
Setsail Marketing
TermsPrivacyAffiliate Program
Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Testimonial Disclosure: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.