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Trend Following Performance Report — May, 2024

Trend Following Performance Report — May, 2024


May 2024 proved to be a challenging month for trend-following strategies, characterized by significant market volatility. Despite these difficulties, trend followers have managed to retain their year-to-date gains. The TTU TF Index ended the month down by 1.77%, bringing its year-to-date performance to 12.32%. Similarly, the SG Trend Index decreased by 2.18%, with a year-to-date result of 11.82%.

This past month was marked by sharp price fluctuations, particularly in the commodities sector. While the energy sector faced significant headwinds, precious metals demonstrated positive momentum, showcasing the importance of maintaining diversified portfolios to balance sector-specific risks. The divergence in sector performance underscored the need for robust strategies to navigate such complexities.

Throughout May, frequent market signal reversals created a challenging environment. Trend-followers had to adapt swiftly to these rapid changes to mitigate potential losses and capitalize on emerging trends. This adaptability proved crucial in effectively navigating volatile markets.

A notable aspect of May 2024 was the degree of dispersion in performance returns among different trend-following strategies. This variation was influenced by the choice of trading universe and models used by various managers. The selection of assets within a trend-following strategy significantly impacted performance, as different markets responded uniquely to the same conditions. Similarly, the modelling approach played a critical role, with different models reacting differently to market signals.

John F. Kennedy’s sentiment, "The time to repair the roof is when the sun is shining," resonated deeply with the trend-following community this month. Their proactive efforts in diversification and model adaptation, grounded in extensive research, helped fortify their strategies against the inevitable market storms. Despite the challenges faced, the trend-following community managed to hold onto most of their year-to-date gains.

The overarching narrative for May revolves around resilience amidst market fluctuations. Trend-followers demonstrated the importance of robust and adaptive strategies in navigating volatile markets. Their positive year-to-date performance highlights the long-term benefits of trend-following strategies.

As we move into June, the focus remains on leveraging diversification and adaptive models to weather market volatility and harness the opportunities it presents. The performance of trend-following strategies in May serves as a reminder of the dynamic nature of markets and the continuous evolution required in trading methodologies. By embracing diversification and remaining agile in response to market signals, trend-followers can continue to thrive, turning challenges into opportunities for sustained growth.

May 2024 Trend Index Performance
IIn May, the TTU Trend Following Index fell -1.77% bringing its year-to-date (YTD) result to 12.32%. The BTOP 50 Index mirrored this negative result for the month, falling by -2.28% and bringing the YTD result back to 8.16%. Likewise, the SG Trend Index fell by -2.18% posting a YTD result of 11.82%.

SG Trend Index

The SG Trend Index is designed to track the 10 largest trend following CTA’s of the managed futures space.

Criteria for inclusion in the Index as determined by Society Generale is as follows:
• Must trade primarily futures (including FX forwards);
• Must be broadly diversified across asset classes;
• Must be an industry recognized trend follower;
• Must exhibit significant correlation to trend following peers;
• Must be open the new investment; and
• Must report returns on a daily basis (net of fees).

The index currently is:
• Equally weighted;
• Calculated in base currency;
• Has an inception date of 1st January 2000;
• Rebalanced annually on 1st January; and
• Reconstituted annually on 1st January based on eligibility criteria.

There was a slight modification to the Index from January 2013 to the present. Previously the Programs needed to be a constituent of the SG CTA Index and the 10 largest Managers was not a requirement.

For the 2024 year following the rebalance of the Index we say goodbye to the Winton Trend Program and hello to the AQR Managed Futures Program. The listing of the 10 eligible programs in the Index for 2024 were as follows:

Table 1 - SG CTA Index 2024 Constituents

The performance of the SG Trend Index since 1st January 2000 to the end of last month is seen in Chart 2 below:

Chart 2 – SG Trend Index Performance

You will notice how the SG Trend Index is highly correlated with the BTOP50 Index and the TTU TF Index and uncorrelated with the S&P500TR Index.

Despite the high correlation between the various trend following Indexes, the long-term performance of these three Trend Following Indexes in terms of CAGR is different. The SG Trend Index plots between the BTOP50 Index and the TTU TF Index.

BTOP 50 Index

The BTOP50 Index seeks to replicate the overall composition of the managed futures industry with regards to trading style and overall market exposure. Unlike the SG Trend Index and the TTU TF Index, the BTOP50 is not strictly a trend following Index and is more broadly representative of the entire managed futures segment of which a dominant style is trend following. We like to think of the BTOP 50 as a ‘quasi trend following Index’ as opposed to a pure trend following Index.

Like the SG Trend Index, the BTOP50 Index is designed to track the performance of the largest Programs by AUM, however the Programs included may not be all Trend Following Programs. Criteria for inclusion in the Index as determined by Barclay Hedge is as follows:

Criteria for inclusion in the Index as determined by BarclayHedge is as follows:
• Must be a Program represented in the Barclay CTA Universe;
• In each Calendar year, the Programs selected must in aggregate be no less than 50% of the investable assets of the Barclay CTA Universe;
• The Programs must be open for investment;
• The Manager must be willing to provide Barclay Hedge with daily return performance;
• The Program must have at least two years of trading activity; and
• The Program’s advisor must have at least three years of operating history.

The index currently is:
• Equally weighted;
• Rebalanced annually on 1st January; and
• Reconstituted annually on 1st January based on eligibility criteria.

Despite the ’50’ tag in the BTOP 50 description, for 2024 there were 19 constituents in the Index. For the 2024 year we say goodbye to CoreCommodity Management, Global Sigma Group, Winton Capital and say hello to DBi Managed Futures.

Table 3: Members of BTOP50 Index

The performance of the BTOP 50 Index since 1st January 2000 to to the end of last month is seen in Chart 4 below:

Chart 4 – BTOP 50 Index Performance

The BTOP 50 Index is highly correlated with the trend following Indexes of the SG Trend Index and the TTU TF Index, however its long-term performance is the lowest of the 3 Trend Following Indexes. While there is a significant representation of Trend Following Programs within the Index, the non-trend following Programs contribute to this diluted long-term performance.

TTU TF Index

The TTU TF Index has been developed by Top Traders Unplugged to provide a performance measure of the trend following programs with a long-term track record.

At TTU, we recognise the importance of a robust trading approach to these uncertain markets and feel that AUM is not a good robustness measure when it comes to assessing performance of the Trend Following industry. It is our strong opinion that the ultimate selection measure to apply in constituting a Trend Following Index is not AUM or a proxy risk metric such as the Sharpe, Sortino, MAR ratio, Ulcer Index or Serenity ratio. The superior metric to assess long-term performance is the long-term validated track record itself.

We have therefore developed a different method for constructing our TTU TF Index. The criteria for inclusion into our Index is as follows:

The criteria for inclusion into the TTU TF Index is as follows:
• Monthly performance results need to be captured in the Nilsson Hedge CTA database;
• Must be geographically diversified across asset classes;
• Must be fully systematic in nature using quantitative rules for entry and exit;
• Must possess at least a 15-year unbroken track record to the current reporting month;
• Must adopt trend following as their dominant investment strategy;
• Are currently active programs; and
• Must report performance monthly (net of fees).

The Index:
• Is Equally weighted;
• Is Rebalanced monthly;
• Is Reconstituted monthly;
• Has an inception date of 1st January 2000

As of May 30, 2024, at the time this report was written, the TTU TF Index draws its results from 56 Active Programs. The Index's monthly return is calculated based on the average return of these Programs that have submitted their reports for the month. Out of a total of 56 active Programs, 44 have provided their monthly reports. The table below details the 12 Programs that are still pending submission of their reports as of the reporting date.

Table 5: Programs highlighted in yellow in the Table above have not currently reported for the month.

The performance of the TTU TF Index since 1st January 2000 to to to the end of last month is as follows:

Chart 6 – TTU TF Index Performance

Now you might be intrigued by the performance result of the TTU TF Index. While it is highly correlated with the BTOP 50 Index and the SG Trend Index, we can see that long term performance of the TTU TF Index clearly outstrips alternative Index measures.

The dominant contributor of this outperformance is the requirement for any participating Program in the Index to have a long-term track record. You see, using AUM as a criterion for inclusion is not necessarily a useful selection criterion. While AUM reflects ‘market appeal’, it does not imply that this ‘market appeal’ is strongly correlated with ‘long term performance’.

Our process of Index construction gives us an insight into how any diversified ensemble of trend following Programs with a long-term track record approaches an optimal portfolio as we increase the number of Programs in the Index. Simply by diversifying into a large ensemble of Trend Following Programs with a long-term track record, we magically improve the Index result. CAGR is increased and our drawdowns are reduced.

Of course, we already know this ‘diversification’ principle of Trend Following. As we increase our diversification efforts, we obtain improvement both in terms of the maximum drawdown and in the CAGR generated by the ensemble. This is why we seek to strive for maximum market and system diversification within our individual programs. The TTU TF Index just takes this diversification one step further and diversifies across many different TF Programs to deliver a superior risk-adjusted result.

TTU TF Index Performance

From January 1, 2000, to May 31, 2024, the TTU Trend Following Index achieved an impressive Compound Annual Growth Rate (CAGR) of 8.28% and experienced a Maximum Drawdown of 17.13% (see Chart 6 above). In comparison, the S&P 500 Total Return Index, which includes dividends, posted a CAGR of 7.29% but faced a much higher and steeper Maximum Drawdown of 50.95% over the same period (refer to the chart below).

Chart 7 – S&P500TR Index Performance

TTU Trend Barometer

The TTU Trend Barometer increased from 45 in April to 50 in May, indicating a slight improvement in trending conditions. This rise contrasts with the overall performance of most trend followers for the month. It's important to note that the Barometer reflects month-end conditions, which may not align with intra-month performance. Additionally, the Barometer can be influenced by short-term models that may differ from the medium to long-term trend-following models favoured by the trend-following community.

Chart 8 – TTU Trend Barometer

The Trend Barometer is a proprietary tool we use at TTU to assess the trend strength of a diversified portfolio consisting of 44 markets across all sectors. We firstly subdivide the trend strength of each market of a hypothetical diverse portfolio into five ranges from strong up, medium up, neutral, medium down and strong down. We then aggregate these results into a single portfolio number which we use to describe the overall trend strength across a hypothetical Program portfolio.

We then arbitrarily divide this percentage range into 3 where a value of 0-30 is considered a very unfavorable market regime for trend following Programs, a range between 30 to 55 is a somewhat neutral environment for Trend Following Programs (but not an environment where you could expect consistent performance) and values more than 55 are considered to be a favorable regime towards Trend Following Programs, where they should see good performance.

Aside from the occasional dispersed readings when compared to overall trend following performance this method is surprisingly powerful in describing CTA monthly performance and can be used to connect market trading environments to resultant Manager performance.

The Macro Environment

For a blow-by-blow macro wrap for the month, we recommend you listen to our weekly systematic investor series by clicking on the links below. It is also worthwhile listening to our past catalogue as it provides you with an understanding of how these markets can shape the emotions of a Trader and why it is therefore essential that Trend Followers adopt systematic rules-based processes to keep these emotions in check.

You can find all of our weekly conversations by clicking this link.

Top Traders Unplugged Trend Following Program (TTU TF Program)

You may have noticed that in the Systematic Investor Series I have have in the past mentioned my proprietary system which I traded before joining DUNN Capital Management.  I have taken my listeners under the hood to better understand the thinking behind the design process of this trend following model in the following episodes:

The TTU Trend Following Program is also a kind of experiment for me, as I decided not to make any changes to the design or parameters in the program since about 2013, to see how a medium-term trend following strategy would perform without any new research and improvements.

We have continued to track the performance of this trend following model on an ‘after fee’ NAV basis simply to provide a context for my listeners to understand how the performance of this classic trend following model (albeit not as long-term as others) performs against other, perhaps more recent Trend Following Programs whose methods have ‘drifted’ away from the traditional Trend Following roots.

Despite a difficult drawdown period between May 2015 to Feb 2019, the TTU Trend Following model continues to perform during market regimes that are more volatile and uncertain, although in 2022, its shorter-term models (Group 3), have had a difficult time.

In May 2024, the TTU Trend Following Program experienced a decline of -1.26%, bringing its total for the year to a slight loss of -0.37%. For an in-depth analysis, please see Chart 9 and Table 10.

Chart 9 – TTU TF Program Performance
Table 10 – TTU TF Program Monthly Returns

Top 10 Lists

We have prepared the following Top 10 lists (excluding non-reporting Programs) for various performance categories based on monthly performance returns for a 15-year period commencing 1st January 2009 to the current month.

Top 10 Listing – by Compound Annual Growth Rate

Table 11: Top 10 based on CAGR
Chart 12– Top 10 Program Performance by Compound Annual Growth Rate

Top 10 Listing – by Risk Adjusted Return (Serenity Ratio)

Table 13: Top 10 based on Serenity Ratio
Chart 14 – Top 10 Program Performance by Serenity Ratio

Top 10 Listing – by Last 12 months Performance

Table 15: Top 10 based on Last 12 Months Performance
Chart 16 – Top 10 Program Performance by Last 12 Months Performance

Performance Results for the TTU Top 5 by Serenity Ratio

In a recent research project, we undertook at TTU, we examined three different allocation methods that could be deployed by an investor seeking to optimally allocate investment funds towards 5 of the Top ranked Globally Diversified Systematic Trend Following Programs with a long-term track record.

These three methods adopted 3 different forms of performance metric, namely:

  1. Top 5 Performers by Compound Annual Growth Rate (CAGR) using a rolling lookback of 15 years.
  2. Top 5 Performers by MAR ratio (CAGR/Max Draw%) using a rolling lookback of 15 years.
  3. Top 5 Performers by Serenity Ratio using a rolling lookback of 15 years.

The findings of our project can be obtained by clicking on this link.

Our research determined that the optimal selection method was the Serenity Ratio method.

The Performance for the month of May 2024 of our Top 5 Selection Method using the Serenity Ratio was an increase of 1.74%. (Refer to Chart 21). With the inclusion of Mulvaney Capital’s Program in the Serenity Index this year, we are getting the benefit of strong growth so far in 2024.
For the entire reporting period, this selection method produces a CAGR of 6.05% with a Maximum Drawdown of only 14.44% and effectively a “zero” correlation to the S&P500TR Index (-0.05).

Chart 17 – Performance Results of the Top 5 Allocation Method (Serenity Ratio)

We mentioned in our recent podcast on the Systematic Investor Series Episode 283 that the Serenity selection for 2024 would be announced in this monthly report. So without further ado, having updated our data sets with results from 2023, the 2024 Serenity selection is as follows:

This selection will be applied for the investment period between 1st February 2024 to 31st January 2025:

  • Man AHL: AHL Evolution;
  • Man AHL: AHL Aplha;
  • Quantica Capital AG: Managed Futures Program;
  • Man AHL: AHL Dimension; and
  • Mulvaney Capital Management: Global Diversified Program.

Individual Performance Results for these 5 Programs used for the Serenity allocation as of 31st May 2024 using the 2024 listing are as follows:

Chart 18 – Performance Results MAN AHL: AHL Evolution
Chart 19 – Performance Results MAN AHL: AHL Alpha
Chart 20 – Performance Results Quantica Capital: Managed Futures Program
Chart 21 – Performance Results Man AHL: AHL Dimension
Chart 22 – Performance Results Mulvaney Capital Management: Global Diversified Program

Performance Results for the Alternative 60/40 portfolio using the TTU Top 5 by Serenity Ratio

In our “How to Invest with the Best” blog post, we also highlighted the significant improved risk-adjusted performance results that could be achieved by replacing the 40% allocation to Bonds in the traditional 60/40 portfolio with an allocation of 40% towards the TTU Top 5 by Serenity ratio.

The evaluation compared the performance of a traditional 60% Equity/40% Bond portfolio against a 60% Equity/40% Serenity portfolio to highlight the uncorrelated historical nature of this Alternative 60/40 portfolio and demonstrate the benefits that a sizeable allocation towards the Serenity portfolio would bring to an investor if equity and bond markets go back to their historic relationship and become more positively correlated in the future. There is no guarantee that correlations remain static over time and it is possible that bond markets and equity markets may lose their uncorrelated relationship that has existed in the last 20 years or so. It is far less likely that the TF managers within the Serenity Grouping will ever be strongly positively correlated to the Equities market, over the long run, given the extensive global diversification and ability to go long and short, that is present within the constituents of the Serenity Grouping.

Chart 23 below showcases the comparative performance results for the period 1 January 2000 to the end of last month:

  1. A 100% investment in the S&P500TR portfolio;
  2. A 100% investment in the VBMFX which is a proxy for the bond market;
  3. A 100% investment in the VBIAX which is a suitable proxy for the classic 60% Equity/40% Bond portfolio;
  4. A 100% investment in a 60% S&P500TR 40% Serenity portfolio; and
  5. A 100% investment in the Serenity Portfolio.
Chart 23 – Comparative Performance Results of Various Portfolio Allocations

The comparison of alternative portfolio allocations above highlights the strong historic risk adjusted returns that have been enjoyed by 60% S&P500TR / 40% Serenity Composite Portfolio.

A more detailed assessment of this powerful 60/40 investment option is reflected below.

Chart 24 – Performance Results for the 60% S&P500TR/ 40% Serenity Composite

Important Disclaimers

This document is directly solely to Accredited Investors, Qualified Eligible Participants, Qualified Clients and Qualified Purchasers. No investment decision should be made until prospective investors have read the detailed information in the fund offering documents of any manager mentioned in this document. This document is furnished on a confidential basis only for the use of the recipient and only for discussion purposes and is subject to amendment This document is neither advice nor a recommendation to enter into any transaction. This document is not an offer to buy or sell, nor a solicitation of an offer to buy or sell, any security or other financial instrument. This presentation is based on information obtained from sources that TopTradersUnplugged (“TTU”) (“considers to be reliable however, TTU makes no representation as to, and accepts no responsibility or liability for, the accuracy or completeness of the information. TTU has not independently verified third party manager or benchmark information, does not represent it as accurate, true or complete, makes no warranty, express or implied regarding it and shall not be liable for any losses, damages, costs or expenses relating to its adequacy, accuracy, truth, completeness or use.

All projections, valuations, and statistical analyses are provided to assist the recipient in the evaluation of the matters described herein. Such projections, valuations and analyses may be based on subjective assessments and assumptions and may use one among many alternative methodologies that produce different results accordingly, such projections, valuations and statistical analyses should not be viewed as facts and should not be relied upon as an accurate prediction of future events. There is no guarantee that any targeted performance will be achieved Commodity trading involves substantial risk of loss and may not be suitable for everyone

TTU is not and does not purport to be an advisor as to legal, taxation, accounting, financial or regulatory matters in any jurisdiction. The recipient should independently evaluate and judge the matters referred to herein. TTU does not provide advice or recommendations regarding an investor’s decision to allocate to funds or accounts managed by any manager (“or to maintain or sell investments in funds or accounts managed by any manager, and no fiduciary relationship under ERISA is created by the investor investing in funds or accounts managed by any manager, or through any communication between TTU and the investor

In reviewing this document, it should be understood that the past performance results of any asset class, or any investment or trading program set forth herein, are not necessarily indicative of any future results that may be achieved in connection with any transaction. Any persons subscribing for an investment must be able to bear the risks involved and must meet the suitability requirements relating to such investment. Some or all alternative investment programs discussed herein may not be suitable for certain investors This document is directed only to persons having professional experience in matters relating to investments. Any investment or investment activity to which this document relates is available only to such investment professionals. Persons who do not have professional experience in matters relating to investments should not rely upon this document.

This document and its contents are proprietary information of TTU and may not be reproduced or otherwise disseminated in whole or in part without TTU’s prior written consent.



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 of which can adversely affect actual trading results. No representation is being made that any investment will or is likely to achieve profits or losses similar to those being shown.