Comparing 2 Ultra-Simple ETF Backtests Side By Side

Jan 15, 2019 in Backtest

 The example below is pretty self-explanatory but in a nutshell it compares 2 strategies set side by side in detached browser windows. 

Strategy A on left uses 2 pieces:   1.  50% choose 1 of 3 ETFs using 11-month total return  2.  other 50% using 6-month returns on the same portfolio of ETFs, also choose 1...

Strategy B on right using 1 strategy:  using ONLY 11-month returns.

Rather than only highlight just the overall total return of each,  of high importance is looking at the year by year (Calendar) returns vs a benchmark.   The 100% 11-month strategy has seen years of large outperformance and underperformance.   The blended strategy would have been much easier to stick by and actually achieve the end result - in addition it added return over the period.    We know from many research papers that 3 - 12 month relative strength all have some level of validity long-term.   No matter what the very long-term backtest looks like for these 2 strategies, we cannot know for sure which one is going to do better over the next 10 years.   But we can glean information by studying different types of backtests and help make a judgment about what is happening now.    Indeed, backtests primary function is to help guide you to understand what is happening in the most recent (current) period. 

 

 

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The Nikkei has been flat for a LONG time. Yes so have lots of securities. Example: Micron MU.

Jan 07, 2019 in Backtest | Stocks

 A classic argument you hear is that the Nikkei (which went exponential in the 1980's) has been dead for a generation.   Yes, but you could say the same thing about lots of securities.   Here is EWJ (Japan fund) -- flat this century vs a very simple tactical strategy... and Micron (MU), which is actually -16% this century. If the S&P 500 goes into a wide trading range with low Buy & Hold returns, tactical asset allocation can still work. Even when there is no wind ON AVERAGE over the long-run, tactical investing can augment returns with the intermediate-term gusts.

 

 

 

 

Note:

Note that in these examples the backtest is extremely conservative in that it assumes you never earn any return when out of the stock, which can be lengthy periods of time. In reality a bond fund or similar relatively low risk yield fund is very easy to access. Use our Ratio Moving Average backtest and check the results on those. Ratio Moving Average Backtest Module (Members link)

 ETFreplay Summary Page -- Individual Stocks

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ETF Advanced Relative Strength Backtest Discussion Video

Oct 17, 2018 in Backtest | Video

An updated video for the Advanced Relative Strength Backtest (and we simultaneously provide a brief overview of ETFreplay as well in the beginning of this video). The public video below uses the following subscriber-only backtest ETFreplay Advanced Relative Strength Backtest

 

 to expand video on screen, click the '4 expanding arrows' icon in the bottom right corner of the video screen

 

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Core-Satellite Demonstration. Combining 2 ETF strategies Into a Single Unified Module

Sep 04, 2018 in Backtest | Video

In this video we demonstrate how to build 2 individual strategies and then easily combine them using the Core-Satellite backtest module. The public video below uses the following subscriber-only backtest ETFreplay Core - Satellite Backtest

 

 to expand video on screen, click the '4 expanding arrows' icon in the bottom right corner of the video screen

 

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Backtesting more than 25 securities at once on ETFreplay.com

Jun 16, 2018 in Backtest | Relative Strength | Video

A video showing how to backtest more than 25 securities at a time. The public video below uses the following subscriber-only backtest ETFreplay Relative Strength Backtest - Combine Portfolios

 

 to expand video on screen, click the '4 expanding arrows' icon in the bottom right corner of the video screen

 

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ETF Backtest Concepts - Relative Strength And The Use of a Moving Average Filter

Apr 30, 2018 in Advanced Relative Strength | Backtest | moving average | Video

A video using ETFreplay Backtesting to look at some relative strength concepts and a moving average filter (daily).

 

 to expand video on screen, click the '4 expanding arrows' icon in the bottom right corner of the video screen

 

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2000 to 2003 focus QQQ's large drawdown backtest

Jan 07, 2018 in Backtest | moving average

Study many different sub-periods for many different markets.  It helps you understand scenarios, it helps you understand strengths and weaknesses of various techniques in backtesting.

Learn how to put the odds in your favor.   If you study many different time periods across many types of markets, you will gain understanding of a strategy that is fragile vs a strategy that is more durable.   You will have ideas that cannot be supported and you realize their weaknesses.   Running bad backtests and learning from that is part of the process.

Below is one look at the 2000-2003 bear market.  We suggest you look at that time period and many other time periods using many different types of funds.   QQQ's downturn was especially bad due to the extended run-up in the prior years (QQQ index existed in prior years but the ETF product QQQ of course did not exist prior to the middle of 1999). 

 

 

 **A pro subscription allows you to backtest to 12/31/99 using daily total return data. 

 

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Short-Sell Backtesting with ETFs

Nov 02, 2017 in Backtest | Short Selling | VIX | Volatility

 If you would like to test Short-Selling on ETFreplay, use the versatile app called Rel Str - Combine Portfolios.

You can test going short the top or bottom ranking securities in a list.

 

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Adding Rotation Options For Backtesting ETFs

Jun 29, 2017 in Backtest

We have added a new backtest rotation option, which we think delivers some useful flexibility.

Previously Relative Strength strategies could be rotated quarterly, monthly or semi-monthly.   Now you can choose a different schedule in the 'Relative Strength - Combine Portfolios' backtest module utilizing a useful feature we call Skip Rotation:

 

 

This way you can set for example a 3-month (quarterly) or a semi-annual rotation but not necessarily on CALENDAR quarter ends.  So for example, you could offset a quarterly rotation by 1 month and choose Jan, Apr, Jul, Oct.  Or you could choose 'every other month' such as in the example below:

 

Then below we reverse it so now it skips the opposite months as the above example and instead test an earlier 7-year period:

 

Separately, we can actually use this same structure to do some basic seasonality testing.   In the test below, we test going long Small & Midcap stocks for the period November to April and then invest simply in the benchmark S&P 500 from May to the end of October.  We do this by using checkmarks to move to the cash security (set to SPY) for May, June, July, Aug, Sep & Oct:

 

The green question mark icon next to 'Skip Rotation' will, when clicked, produce a pop-up help note with more information about the function. However,  if you have any further questions, please contact us

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ETF Regime Change Backtesting – update of a 2011 example

Dec 02, 2016 in Backtest | Regime Change

Back in 2011 we produced a little video that compared the performance of two very different 60-40 allocations: an aggressive portfolio invested in Emerging Markets, Financials and High Yield; and a defensive strategy based around Treasury Bonds, Utilities and Healthcare.

 

The purpose of that video, which can be seen here, was not to show which allocation was best but rather to illustrate that ‘that different sectors perform differently during the course of the business cycle’. It therefore makes sense that when there is a change in the overall regime, allocations should be materially adjusted. 

Below is an update to that original example. The same two aggressive and defensive allocations are used, but this time we have employed the Regime Portfolios Backtest to dynamically switch between them depending on the prevailing regime. For this example with have used a simple credit spread style ratio to define the regime. When high yield bonds are outperforming treasuries, the backtest invests in the aggressive allocation. When the opposite is true, it switches to the defensive portfolio.

This is not meant to be a comprehensive strategy by any means, it's just a simple example to illustrate the concept of adapting to change. Hopefully though it provides a solid starting point for subscribers to conduct their own regime based research.

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