Category: RS Composite

RS Composite Majority Pick

We have added a new option to the Relative Strength Composite backtest for Pro Subscribers; Majority Pick.

If Majority Pick is turned on, rather than investing in the security picked by each RS length, the backtest will instead invest only in the top / bottom X securities that have been picked by the majority of RS lengths.

Though it sacrifices some of the diversification benefit of the full / regular composite, the Majority Pick reduces trade activity, often significantly, while still retaining the spirit of the composite approach. 

 

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Tiebreak

In the event of a tie, where two or more securities have been picked by an equal number of RS lengths, then each of the chosen RS lengths will be assigned a weight and the security with the greatest total assigned weight will be picked.

By default the assigned weights decline exponentially from the shortest RS length (i.e. shorter lengths have greater weight). However,if preferred, you can opt for the weights to decline exponentially from the longest RS length, so that longer lengths have greater weight.                 

In the example below ABC and XYZ are tied, each the pick of 3 RS Lengths. On a tiebreak, the majority pick is XYZ, as the weights assigned to the RS lengths that picked XYZ total 50.039% versus 44.825% for the RS lengths that picked ABC.

 

Regular subscribers can upgrade to a Pro Subscription at My Account > Subscription Settings > Upgrade to Pro.

Go to the  Relative Strength Composite backtest.

 

Using RS Composite to avoid parameter value misfortune

With any parameter based model the risk always exists that a single particular value will underperform in the future, even though it performed well in backtests.

Below is the Parameter Summary of a Relative Strength model that invests in the strongest (i.e. top 1) security from a list of 4 U.S. equity ETFs (QQQ, SCHD, SPYG and SPYV). For the 10-years through 2023, the highest Total Return was produced by the 2-month lookback length.

 

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During 2024, however, the 2-month lookback was the second worst performer.

 

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The RS Composite method, which we introduced in early 2023, hedges against this uncertainty by diversifying across a range of parameter values.  For example, below is an RS Composite backtest where the minimum lookback length is 2-months, the maximum lookback is 12-months and the step value is 2. This means that, each month, rather than investing is just the top ETF ranked by 2-month returns, the composite backtest will invest 16.67% in each of the:

  • top ETF from QQQ, SCHD, SPYG and SPYV ranked by 2-month returns
  • top ETF ranked by 4-month returns
  • …6-month returns
  • …8-month returns
  • …10-month returns
  • top ETF ranked by 12-month returns

 

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As can be seen, whereas the 2-month single lookback strategy was comparatively underwhelming in 2024, the RS Composite model performed rather well.

For more, watch this video: Using Parameter Summaries and Composite Relative Strength

 

Notes:

  1. a composite model will always underperform the single best parameter value, but, as demonstrated, it avoids being exclusively in the worst performer.
  2. Studying the Parameter Performance Summary guidelines is always highly recommended

Relative Strength Composite options

We have upgraded the Core-Satellite, Core-Regime RS and Advanced RS Pro backtests.

 

Core-Satellite backtest

Annual subscribers, both pro and regular, now have the option to switch between employing 3-factor Relative Strength or RS Composite on the Core-Satellite backtest.

 

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For more detail on the difference between the 3-factor Relative Strength model and RS Composite, see Relative Strength: 3 Factor vs Composite

 

Core-Regime RS and Advanced RS Pro

For Pro subscribers, the option to switch between 3-factor RS and RS Composite is now also available on both the Core-Regime RS and Advanced RS Pro backtests.

 

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Relative Strength Composite backtesting with a regime switch

We have added an RS Composite option to the Regime Relative Strength backtest.

Annual subscribers (both pro and regular) can now switch from using regular 3-factor RS models to RS Composite models by turning on the RS Composite option.

 

click image to view full size version

 

For more detail on the difference between the 3-factor Relative Strength model and RS Composite, see Relative Strength: 3 Factor vs Composite

Go to the Regime Relative Strength backtest

 

Relative Strength: 3 Factor vs Composite

The range of Relative Strength tools and backtests on ETFreplay come in two varieties: 3 Factor and Composite.

 

3 Factor Relative Strength

The Relative Strength (RS) model employed by the Screener, RS Reader and the majority of RS backtests is loosely based on the Sharpe Ratio, which measures return per unit of risk.  However, while the Sharpe Ratio effectively equally weights the time period for return and volatility, the RS model takes the Sharpe Ratio concept and decomposes it into three separate factors:

  • ReturnA - Higher timeframe total return
  • ReturnB - Lower timeframe total return
  • Volatility

Volatility is a measure of risk and is the annualized standard deviation of daily returns over the specified lookback period.  Risk is uncertainty and the larger the range of possible outcomes, the higher the volatility will be and therefore the greater the risk.  Consequently, unlike returns, it is ranked low to high.  Therefore, the greater the weight assigned to volatility, the more volatile ETFs are penalized. 1

From these three factors, and the weights assigned to them, the overall rank is calculated. The precise process is fully explained in How The Screener Works.

Both the lookback periods and the weight of each factor can be changed. For example, to rank the ETFs by only 6-month total return, set Return A  to '6-Months' and set its weight to 100% (and the weights of ReturnB and Volatility to zero).

As with most models, the shorter the lookback periods chosen, the more responsive to changes the RS model will be.  However, this also means that it is more likely to be whipsawed by noise and will have a higher trade frequency.  A balance must therefore be struck. If a model proves to be too busy with a particular list, then longer looback periods should be employed to get above the noise (or greater weight assigned to the higher timeframe). 

i.e. A model using 6-month ReturnA and 3-month ReturnB will produce less trades than 3-Month and 20-day etc.

The performance of a model can be evaluated using one of the various Relative Strength backtests and the Parameter Performance Summary makes it possible to test numerous different parameter combinations in one go. 2

 

Relative Strength Composite

The RS Composite model is designed to protect against the possibility of parameter choice misfortune, which can arise when relying on a single lookback period for relative strength.

i.e. though a particular lookback may have historically outperformed other lookback lengths, there's always the possibility that it may underperform in the future.

The RS composite model reduces that risk by diversifying across a range of return lengths. It does this by stepping through the lookback periods, from a specified minimum to maximum, and invests in the top (strongest) x securities from each of those. 3

By using a range of RS lengths, the composite model entirely avoids the risk of being exclusively in, what could transpire to be, the worst performing model variant.

See:

 

Notes:

  1. As an extreme example: use the Screener and set the Volatility weight to 100% (ReturnA and ReturnB weights to zero) and the least volatile ETFs will appear at the top of the list.
  2. Reading the Parameter Performance Summary guidelines is highly recommended
  3. It is also possible to backtest Mean Reversion, by investing in the bottom (weakest) x securities.

 

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