
What's Inside...
CAN WE IMPROVE SECTOR ROTATION?
by Corey HoffsteinEditor’s note: This was originally published at “Flirting with Models” on May 22, 2017 and is reprinted here with permission. Summary • Momentum-based sector rotation is a popular investment...
GUILLOTINE INVESTING - KEEPING YOUR HEAD WHILE OTHERS ARE LOSING THEIRS
by Kelvin Angle & Michael Carr, CMTEditor’s note: KD Angle spoke at an MTA Annual Symposium several years ago. In this article, we have a chance to learn about his recent work. He is also the author of the recently released book,...
BEHAVIORAL FINANCE BEYOND THE MARKETS: A REAL-TIME CASE STUDY OF RUSSIA’S MILITARY RESURGENCE
by Matt Lampert & Alyssa Hayden & Alan HallThe Socionomics Institute recently announced that a paper by Matt Lampert, Alyssa Hayden and Alan Hall was accepted for publication in the Journal of Behavioral Finance & Economics. The...
BONDS OR STOCKS? INVESTORS ARE BUYING BOTH
by Chad Shoop, CMTEditor’s note: This was originally published at BanyanHill.com and is reprinted here with permission. Over the past few months, stocks have roared to a number of new highs and investors are eager...
THINK INCOME AND GROWTH DON’T EXIST IN THIS MARKET? THINK AGAIN
by CAMBRIA INVESTMENTSEditor’s note: this article demonstrates a different perspective on income and was originally published as a white paper at the Cambria Investments web site. In the paper, the authors illustrate...
ELLIOT WAVE GRAND SUPER CYCLE ANALYSIS OF THE S&P 500 CASH INDEX - SUPPORTED BY CLASSIC TECHNICAL ANALYSIS
by Lara Iriarte, CMTThis Elliott wave analysis is offered as a long-term view of the wave structure of the S&P 500. Historic Chart – Back to 1871 This analysis makes two base assumptions: 1. That the S&P...
THE ‘GRAND OLD PARTY’ AND THE U.S. DOLLAR
by Howard Friend, CMTThe storming of the White House by Donald Trump last November created not just the usual ripples on a change in U.S. leadership but many shockwaves both at home and abroad as the world holds its...
BFF STOCKS: BACH, FIBONACCI, FRACTALS, AND US EQUITIES - ANALYSIS OF MODEL TRADING STRATEGY UTILIZING MAP QUANTITATIVE EQUITY RESEARCH DATA
by Jason Bodner & Lucas Downey & RAN ZHAO & VICKY ZHOU & M A PSUMMARY This paper explores an in-depth analysis of enhancing a model trading strategy utilizing MAP quantitative equity research data. Three studies were conducted and the data set representing the...
Editor’s note: This was originally published at “Flirting with Models” on May 22, 2017 and is reprinted here with permission. Summary • Momentum-based sector rotation is a popular investment strategy. • Recent academic studies have shown that alternative implementations of standard momentum – including risk-adjusted momentum, residual momentum, and “frog-in-the-pan” momentum – can significantly improve the risk-adjusted and total return potential of stock-based momentum systems. • We explore whether these approaches create value for sector rotation systems. Momentum is a system of investing that buys and sells securities based upon recent returns. Momentum investors buy outperforming securities and avoid – or sell short – under-performing ones. In the traditional academic implementation of momentum, hundreds of individual securities must be bought and sold. One popular – albeit simplified – implementation of this approach is sector rotation, where investors implement a momentum strategy through industry groups or sectors. In a past commentary[1], we demonstrated that sector rotation was entirely
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Contributor(s)

Corey Hoffstein
Corey Hoffstein is co-founder and Chief Investment Officer of Newfound Research. Investing at the intersection of quantitative and behavioral finance, Newfound Research is dedicated to helping clients achieve their long-term goals with research-driven, quantitatively-managed...
Editor’s note: KD Angle spoke at an MTA Annual Symposium several years ago. In this article, we have a chance to learn about his recent work. He is also the author of the recently released book, Guillotine Investing, which expands on his investment philosophy.In this study, we explore whether these approaches are value-add in a traditional sector rotation approach. Success in the markets is best measured over the long term. With over thirty years of experience, KD Angle has met any definition of success. His work has focused on researching and developing trading algorithms. Over that time, he has learned a lot about what works and what doesn’t work. In general, when searching for what works, he begins with the premise that nothing works. This forces him to think through every idea to consider the logical underpinnings of every possible trading strategy. In simple terms, a moving average crossover strategy is a popular trading
To view this content you must be an active member of the CMT Association.
Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

Kelvin Angle
KD Angle is the CEO of Angle Capital Management, with an expertise in the development of rules-based investment strategies for use with computers. Angle owns 100% of his investment programs and operates them within three different wholly owned companies, each having its own...

Michael Carr, CMT
Mike Carr, who holds a Chartered Market Technician (CMT) designation, is a full-time trader and contributing editor for Banyan Hill Publishing, a leading investment newsletter service. He is an instructor at the New York Institute of Finance and a contributor to various...
The Socionomics Institute recently announced that a paper by Matt Lampert, Alyssa Hayden and Alan Hall was accepted for publication in the Journal of Behavioral Finance & Economics. The publication of Behavioral Finance Beyond the Markets: A Real-Time Case Study of Russia’s Military Resurgence demonstrates the acceptance of socionomics within the academic community. Socionomic theory proposes that social mood manifests across the spectrum of social behavior, from the movements of stock market indexes to the leaders we elect to the songs we choose to hear and even to changes in the social propensity toward peace or war. In the paper, the authors present a case study tracking the real-time socionomic analysis of the Russian Trading System Index (RTSI) and Russia’s military resurgence from 2007 to 2016. The paper illustrates the utility of the theory for anticipating the character of social actions that express swings in social mood. The roots of the
To view this content you must be an active member of the CMT Association.
Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

Matt Lampert

Alyssa Hayden

Alan Hall
Editor’s note: This was originally published at BanyanHill.com and is reprinted here with permission. Over the past few months, stocks have roared to a number of new highs and investors are eager to participate in the rally. It’s this type of risk-on environment where you typically see investors sell bonds to move even more cash into stocks. But we are seeing investors buy bonds, pushing those prices higher as well. This is contradictory to what we take for granted — that there is an inverse relationship between the stock market and bond prices. While many are calling for concern over this, based on the data, this isn’t something to be alarmed about. The Cash Flow First, let’s discuss why this is such a given concept — that as stocks go higher, bonds typically head lower. The rationale is that bonds are the safe place to park your cash. So when uncertainty is on
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Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

Chad Shoop, CMT
Chad Shoop, CMT, joined Banyan Hill in 2012 and edits two newsletters. Pure Income uses technical analysis to identify income opportunities. Automatic Profits Alert is designed to take advantage of seasonal patterns in the markets. In addition to the CMT designation, Chad’s...
Editor’s note: this article demonstrates a different perspective on income and was originally published as a white paper at the Cambria Investments web site. In the paper, the authors illustrate the different considerations involved in the investment selection process. Are you having the following argument with yourself? “I need an investment that’s going to provide me not only income, but growth too. Unfortunately, investors have been piling into dividend funds for years now in their search for yield. I’m worried that this has left me few reasonably-valued opportunities. If I invest in a potentially overvalued dividend fund today and this 8-year bull market finally runs out of steam tomorrow, then I’m risking serious losses. On the other hand, keeping my money on the sidelines is returning me zero. Is there an answer?” As I’m about to show you, yes, I believe there is an answer – and a good one. Income and growth
To view this content you must be an active member of the CMT Association.
Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

CAMBRIA INVESTMENTS
This Elliott wave analysis is offered as a long-term view of the wave structure of the S&P 500. Historic Chart – Back to 1871 This analysis makes two base assumptions: 1. That the S&P 500 price is a good reflection of current social mood and Elliott waves. * That the upwards wave to the market peak of 1929 can be counted as a complete five wave impulse. (Data used for this analysis goes back to 1871 only. Data prior to the inception of the S&P 500 index is an amalgamation of the US stock market back to that date.) Because this data does not show the start of Super Cycle wave (I), no reasonable analysis of Fibonacci ratios can be made of cycle degree waves within it. Within Super Cycle wave (I),), there looks to be perfect alternation between a zigzag for cycle wave II and a combination for cycle wave IV. Super Cycle wave (II), unfolded
To view this content you must be an active member of the CMT Association.
Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

Lara Iriarte, CMT
Lara Iriarte, CMT holds a BSc in Science from Auckland University. A science degree has taught her to view data objectively and think logically. She provides daily Elliott wave and technical analysis of the S&P500 cash and Gold spot markets to her members at...
The storming of the White House by Donald Trump last November created not just the usual ripples on a change in U.S. leadership but many shockwaves both at home and abroad as the world holds its breath waiting for the ‘New Normal’ to emerge. For those trying to get a handle on what to expect over the next four or more years the early months of the Presidency have been a little perplexing to say the least. Differences have emerged between Mr. Trump’s isolationist pre-election rhetoric and some of his actions in the Oval Office, particularly in the field of foreign policy which has seen unilateral action in Syria, strong assurances given to NATO and the ramping up of stakes with North Korea. Despite all the confusion and contradictions witnessed so far it is worth pointing out that while in what used to be called ‘the free world’ the leader of the
To view this content you must be an active member of the CMT Association.
Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

Howard Friend, CMT
Howard Friend, CMT, is a Swiss-based multi-asset class trader with a specialization in the development and trading of systematic chart-based methodologies (‘HF Systems’). Howard is Chief Investment Officer, Easy Neu Alpha Partners SA. He has developed his own trading...
SUMMARY This paper explores an in-depth analysis of enhancing a model trading strategy utilizing MAP quantitative equity research data. Three studies were conducted and the data set representing the weekly pool of securities for portfolio construction spanned over 3.5 years. This paper poses the following primary question: Can we use quantitative analysis to enhance the desirable risk-adjusted return of the Compass 20/10 model trading strategy? STUDY ONE: MODEL PORTFOLIO – WEEKLY COMPASS 20/10 The first study addressed the following question: Is there enough statistical significance using MAP quantitative equity research data to create the Compass 20/10 model trading strategy to achieve desirable risk-adjusted return? HYPOTHESIS: A model portfolio constructed with the aim of buying stocks with the highest Compass Scores, and shorting stocks with the lowest Compass Scores each week will generate desirable risk-adjusted return over time with statistical significance. RESULTS: The model strategy tested assumes portfolio construction based on the weekly COMPASS 20/10 reports. On a model
To view this content you must be an active member of the CMT Association.
Not a member? Join the CMT Association and unlock access to hundreds of hours of written and video technical analysis content, including the Journal of Technical Analysis and the Video Archives. Learn more about Membership here.
Contributor(s)

Jason Bodner
Jason Bodner is a technical analyst and Co-Founder of Macro Analytics for Professionals, MAPsignals, which produces proprietary equity accumulation/distribution research for its clients. Previously, he was a contributor to Navellier & Associates, Inc. where he wrote Sector...

Lucas Downey
Lucas Downey is a technical analyst and Co-Founder of mapsignals.com, which looks for outlier stocks through the lens of unusual institutional trade activity. Growing up in a small town in Louisiana with a passion for what made some stocks great and others not so great, Luke...

RAN ZHAO

VICKY ZHOU

M A P
The authors are part of macro analytics for professionals (map), an independent research firm. Map starts with the intricate study of relationships between price, volume, and volatility to extract measurable information not readily visible to an “on the surface” analysis....
New Educational Content This Month
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November 22, 2023
Utilizing Trend & Mean Reversion in Breadth Studies to Gauge Market Conditions
Presenter(s): Victor Riesco
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November 18, 2023
Beating the Bench
Presenter(s): Scott Brown, CMT
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October 25, 2023
Equity Risk & Potential – Q4, ’24 & Beyond
Presenter(s): Timothy Hayes, CMT