iMarketSignals – improve investment performance

We provide unbiased guidance to market direction. Our models can be classed into following  groups:

  • Leading recession indicators:
    • BCI is a Business Cycle Indicator optimised to identify a looming recession constructed from economic data series.
    • COMP is a recession indicator model constructed by combining third party leading indicators.
  • Buy and Hold investing. These models are macro by nature; trading signals from the models occur infrequently and are un-hedged – one does not have to trade constantly in and out of the markets.
    • MAC-US is a moving average crossover model for the S&P500.
    • MAC-AU is a moving average crossover model for the Australia All Ordinaries Index.
    • BVR is a bond market model based on mathematics alone.
    • Yield-Curve is a trend-following model.
    • GOLD is a rate-of-change trend-following model.
    • SILVER is a rate-of-change trend-following model.
  • Active weekly trading models based on a proprietary ranking system updated each week to generate un-biased and un-hedged buy- and sell-signals.
    • iM-BestX are weekly trading models based on the S&P 500, S&P1500 and Russell 1000 stock index series.
    • iM-Best(SPY-SH) is a market timing model, updated weekly on Sundays for the coming week.
    • iM-Best1(Sector SPDR) is a rotation system for the Select Sector SPDR® ETFs that divide the S&P500 into 9 sectors.
    • iM-Best(SSO-TLT) is a ETF switching system based on market timing.
    • iM-Best Combo3 is a combination model of Best(SPY-SH) + Best1(Sector SPDR) + Best(SSO-TLT), updated weekly on Sundays for the coming week.

The models are updated weekly and the charts depict the state of the various markets. They can be seen by registered/logged-in members.

The models have all been published. Before the models were available on the internet, weekly updates for the IBH, MAC, BVR and Yield-Curve were sent by email to subscribers for about two years – here are some of their comments:


This model and your fine work has been quite remarkable (and profitable). I have been enjoying your observations for quite some time. Job well done.
Edward Chrusciel

Your system looks pretty good. In fact, I was amazed by the high percentage winning trades and the very low drawdowns. I’ve never seen anything like that in a MA system.
Tom Swiatek

Regardless of which version one uses, it’s a powerful system. And it answers one of the most troubling worries that investors have. It efficiently gets them out of harm’s way when the market crashes.
Erik Conley

Thank you for your unique and excellent work. We will appreciate receiving your Modelling updates. Thanks!
Chuck Szkalak

The average investor reads the financial news and thinks that gives him an edge. That only tells him what everyone else knows and is worried about. We follow the excellent work of Georg Vrba, who has a top-rated coincident recession indicator as well as a successful stock/bond asset allocation model. Here is his most recent comment:  “My own composite short leading economic indicator, which has the  highest score of all indicators so far tested, does not support the notion of a recession anytime soon.” I listen to Georg, and you should too.
Jeffrey A. Miller, PhD, President NewArc Investments, Inc.

I took that S&P buy signal of yours with a little $50K futures contract and am very happy thank you.
Dwaine van Vuuren – CEO of PowerStocks

I have read and studied all your articles with interest. I have learned much from your perspectives and will continue to follow your work.
David Hamilton

Thank you for all your outstanding analysis. Let me say that I couldn’t agree more that data beats opinion.
Dave Lincoln

Georg Vrba asks whether the ECRI is still relevant. Great analysis and charts.
Jeffrey A. Miller, PhD, President NewArc Investments, Inc.


I very much liked the write up on your models, and if I may add these have a particular appeal and interest having been developed by a fellow engineer.
Paul Willis

Have seen so many manipulate data to fit their predetermined biases and love the way you methodically deconstructed the moving averages to debunk this one. It shows the difference between intellectual laziness and intellectual rigor which you fit to a tee.
Kuosen Fung, CFP®

Your work is really interesting and I’d love to receive your updates or any other information you publish. I honestly think your results indicate there is a way to time stock and bond market exposure. Most likely people will remain human and many will follow their “gut feel” or let fear or greed override any mathematical analysis. This is why your methods will most likely continue to work.
James Schwartz, CFP®

Georg Vrba, whose excellent work on recession forecasting has helped our readers, has two different market-timing methods. His most recent article explains that the next great bull market might already be here.
Jeffrey A. Miller, PhD, President NewArc Investments, Inc.

… as always love your analysis! Always eager for Friday’s just to receive your reports!
Jose R Barcelo

I agree with your viewpoint that mathematical models provide better guidance to market directions than financial experts. Thanks so much!
C.T. Wu, PhD in EECS

I just read your article on identifying recessions. Great work!
Richard G Greenwald, AAMS, CRPC

I appreciate using math to model financial behaviour and appreciate your good work.
Richard E. Hamrick, CFA®

This time it is perma-bear Albert Edwards warning investors about the “Ultimate Death Cross” taking the S&P 500 back to 666. Georg Vrba takes the analysis even further. He shows that Edwards’ prediction is almost impossible to accomplish if you actually do the math on the moving averages involved. In addition, he demonstrates that the current indicator conditions are actually bullish based on historical data.
Jeffrey A. Miller, PhD, President NewArc Investments, Inc.

I have great respect for your work and am grateful to be included on your list.
Marvin Snyder

I have your historical charts going back and it is great material. I appreciate your insights. Steve Wenstrup


I have been following your work for some time and have been very impressed.
Steve McCarthy, CPA, CFP®

I’m impressed that you provide this much analysis each week. Thank you for your insights. Your charts are beautiful & clear.
Brett Bowman

I am really impressed by your work and liked very much your last research on gold and silver. It’s good to see that you are expanding the scope of possible investments.
Nicolas Tabourdeau

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Profiting from Trading Stocks of the Technology Select Sector SPDR Fund (XLK) — iM-Top5(XLK)Select

  • This trading strategy with five stocks from those of ETF (XLK), mainly with a dividend yield greater than that of the S&P 500 index, produces much higher returns than XLK.
  • The universe from which stocks are selected holds point-in-time, the S&P 500 technology stocks of FactSet’s Revere Business Industry Classification System and some electronic payments industry stocks, similar to XLK.
  • The model ranks the stocks of this custom universe with the Portfolio 123 “Greenberg” ranking system and selects periodically the highest ranked stocks which also satisfy the stipulated yield requirement.
  • From 1/2/2009 to 9/8/2020 this strategy would have produced an annualized return (CAGR) of 31.8%, significantly more than the 20.1% CAGR of XLK over this period.

The analysis was performed on the on-line portfolio simulation platform Portfolio 123.
Read more >

Profiting from the Consensus Stock Holdings of Ten Large Hedge Funds (iM-10LargeHedgeFundSelect)

  • This is a copycat trading strategy based on the quarterly 13F filings of 10 large hedge funds with assets under management (AUM) greater than $3.5-Billion.
  • The algorithm looks at the top 20 largest holdings from each of the 10 filers and then picks the 15 most frequently held stocks among all of the filers.
  • The model selects 12 of the 15 consensus picks from this hedge fund group with a ranking system based on quality.
  • Changes in the holdings occur only every three months, about 45 days after the end of a quarter when 13F filings become public information, February, May, August, and November.
  • From Feb-2008 to Aug-2020 this strategy would have produced an annualized return (CAGR) of 27.6%, significantly more than the 10.1% CAGR of the S&P 500 ETF (SPY) over this period.

A Dividend Growth Strategy for Perennial Income

  • A simulation of this strategy with annual withdrawal rates of up to 10% still showed long-term growth which exceeded that of buy-and-hold the S&P 500 ETF (SPY).
  • The backtests use the FactSet stock database and FactSet’s Revere Business Industry Classifications System (RBICS).
  • The model holds equal-weight 10 stocks of the Russell 1000 index which are ranked with a simple ranking system to identify shares of the highest “quality” companies.
  • The strategy provides a high dividend yield because a minimum yield excess (depending on RBICS sector type) over the yield of SPY is a critirium for stock selection.
  • From Jan-2000 to Jun-2020 this strategy without withdrawals would have produced an annualized return (CAGR) of 21.5%, much more than the 5.6% CAGR obtained from SPY over the same period.

Covid-19 Recession — No Sign of a Recovery: The iM-Weekly Unemployment Monitor

  • A truer picture of the employment situation is extracted from the Unemployment Insurance Weekly Claims (UIWC) report.
  • Persons receiving some form of unemployment benefit account for 18.6% of the labor force and not 13.3% – the official unemployment rate. 
  • Monitoring of the weekly insured unemployed can provide early indication of recovery from the Covid-19 crisis.
  • No meaningful economic recovery is identified from the current UIWC report.

Profiting from the Consensus Stock Holdings of Five Hedge Funds (iM-5HedgeFundSelect)

  • This is a copycat trading strategy based on the quarterly 13F filings of five hedge funds.
  • The model holds the top 20 consensus picks from a group of five hedge funds.
  • Changes in the holdings occur only every three months when the end-of-the-month 13F filings becomes public information.
  • From Jan-2007 to May-2020 this strategy would have produced an annualized return (CAGR) of 27.1%, much more than the 7.8% CAGR of the S&P 500 ETF (SPY).

Rational for a Copycat Strategy

Research from Barclay and Novus published in October 2019 found that a stock selection copycat strategy that combines conviction and consensus of fund managers that have longer-term views outperformed the S&P 500 by 3.80% on average annually from Q1 2004 to Q2 2019.