GR_TrendFollowing

Date GR_Trendfollowing DAX SP500
15 Aug 2025 0.65 % -0.07 % -0.29 %
Aug 2025 2.41 % 1.22 % 1.74 %
2025 -5.81 % 22.35 % 9.66 %
Start 2023 38.32 % 74.95 % 67.99 %

Unlike most traditional strategies that are inherently short volatility and depend on rising stock prices for returns, TrendFollowing excels during market downturns. It provides genuine diversification by capitalizing on sustained market trends—both upward and downward—mitigating risk when traditional strategies falter and correlation patterns shift unexpectedly.

The TrendFollowing strategy makes up 30 % of GR_Strategies, a diversified multi - strategy approach built on uncorrelated investment strategies.

GR_TrendFollowing analysis since start

Performance table since start 2023 (USD):

GR_TrendFollowing: 38.32 %
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
2023 0.3 4.7 -1.0 3.2 1.1 4.9 4.7 -4.1 -2 2.7 1.6 -0.4 16.4 %
2024 6.1 6.5 12.7 2.7 -1.0 -1.9 -3.2 -0.8 1.2 -8 10.3 0.7 26.2 %
2025 7.3 -5.4 0.2 -3.1 -3.0 2.1 -5.7 2.4 -5.8 %

Performance and Risk Metrics for GR_TrendFollowing

Performance Metrics

GR_Trendfollowing
Cumulative Return (%) 38.32
Ann. Return (%) 12.72
Ann. Sharpe Ratio 0.81
MAR Ratio 0.82

Risk Metrics

GR_Trendfollowing
Ann. StdDev. (%) 15.71
SemiDeviation (%) 0.76
Max DrawDown (%) 15.45
Value-at-Risk (%) -1.74

Daily Metrics

daily metrics (%)
Av. Return (%) 0.05
Best Day (%) 4.70
Worst Day (%) -6.93
Av. Up-Day (%) 0.69
Av. Down-Day (%) -0.74
Pct Up-Days (%) 55.00
Pct Down-Days (%) 44.00

Monthly Metrics

monthly metrics (%)
Av. Return (%) 1.14
Best Month (%) 12.74
Worst Month (%) -7.98
Av. Up-Month (%) 4.17
Av. Down-Month (%) -3.05
Pct Up-Months (%) 58.00
Pct Down-Months (%) 42.00

Drawdown Analysis in Days

From To Depth Length
2024-04-25 2025-01-22 -15.45 % 194
2025-01-31 In Progress -14.61 % 142
2023-03-09 2023-04-13 -10.62 % 26
2023-07-31 2024-01-24 -6.24 % 128
2023-06-16 2023-06-30 -3.60 % 11

Open position as of today (USD 5.000.000)

ticker market contracts position sector
BL2 Wheat Miling MATIF EURONEXT 104 Short commodity
BO2 Soybean Oil-CBT(Floor Trading Only) 19 Long commodity
CT_ Cotton #2-NYCE 30 Short commodity
CU_ FX-Euro(Floor Trading Only)-CME 16 Long currency
DX_ Index-U.S. Dollar-FINEX 19 Short currency
GC2 Gold-COMEX(Floor Trading Only) 7 Long commodity
NQ_ Nasdaq 100 Index x 10 MNQ 4 Long index
PA2 Palladium-NYMEX (Floor Trading Only) 2 Long commodity
SB_ Sugar #11World-CSCE (Floor Trading Only) 53 Short commodity
SXE Index-DJ Euro STOXX x 10 ESTX50 27 Long index

GR TrendFollowing vs Other Asset Classes since start | S&P 500

GR_Trend TLT VNQ UUP EFA DBC GLD DAX SPY
Annualized Return 12.7% -1.5% 7.1% 3.3% 16.7% -0.9% 24.5% 22.9% 22.7%
Annualized Std Dev 15.7% 15.5% 18.1% 7.0% 14.5% 15.0% 15.1% 14.5% 15.6%
Annualized Sharpe 0.81 -0.10 0.39 0.48 1.15 -0.06 1.62 1.58 1.46
Worst Drawdown 15.5% 22.4% 21.8% 10.1% 14.1% 13.8% 11.3% 16.0% 18.8%

Rolling Correlation of GR TrendFolling vs. DAX | S&P 500

GR_Trendfollowing DAX SP500
GR_Trendfollowing 1.000 0.050 0.080
DAX 0.050 1.000 0.551
SP500 0.080 0.551 1.000

More analysis for GR_TrendFollowing

Rolling 12-Month Window for Return & Stdv & Sharpe Ratio

Risk Analysis for GR TrendFollowing vs. DAX | S&P 500

GR TrendFollowing Return versus Other Asset Classes

Extended analysis dating back to 2011

GR_Trend TLT VNQ UUP EFA DBC GLD SPY DAX
Annualized Return 20.6% 2.1% 7.2% 2.2% 6.1% -0.7% 5.4% 13.3% 8.7%
Annualized Std Dev 16.7% 14.9% 19.8% 7.1% 17.7% 16.7% 15.3% 17.0% 19.4%
Annualized Sharpe 1.23 0.14 0.36 0.31 0.34 -0.04 0.35 0.79 0.45
Worst Drawdown 17.6% 48.4% 42.4% 14.2% 34.2% 66.1% 45.6% 33.7% 38.8%

Longterm Return Table for GR_TrendFollowing

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
2011 1.4 9.2 -2.2 11.2 0.5 -4.0 9.1 -6.7 -1.6 -2.8 8.9 4.5 28.7 %
2012 2.3 -0.1 1.7 2.5 9.2 -6.7 4.6 -1.3 -4.4 -0.5 2.4 1.5 10.9 %
2013 -1.0 1.3 1.5 -1.3 0.1 -4.0 -0.2 -3.3 3.6 6.3 2.9 1.4 6.8 %
2014 -4.0 6.4 -3.7 5.0 2.3 -3.1 -1.1 11.1 1.6 -3.6 6.3 4.5 22.3 %
2015 12.6 -0.3 7.8 -4.4 2.5 -3.6 4.8 -4.0 1.4 -2 5.7 -5.5 14.2 %
2016 3.4 5.9 -8.3 -4.4 -1.5 11.9 -2.4 0.3 4.2 -10 7.6 0.8 5.4 %
2017 0.5 13.5 -3.4 2.6 1.2 -1.6 9.2 2.6 -6.4 9.1 6.7 5.1 44.4 %
2018 13.7 -1.3 -4.3 4.3 3.0 2.5 1.7 2.5 1.3 -7.4 1.5 -0.5 16.7 %
2019 1.3 3.1 -0.9 3.4 -0.4 11.7 -2.3 10.4 -1.3 0.8 1.9 2.8 33.8 %
2020 4.5 4.6 -6.8 -1.5 0.4 -0.7 1.8 3.7 -6 -2.5 9 8.7 14.5 %
2021 1.8 5.4 2.4 16.6 3.5 -7.0 1.8 3.7 2.6 7.8 -1.7 -0.6 40.5 %
2022 1.0 3.6 18.4 13.5 -3.9 4.5 -2.5 8.4 14.3 -2.6 -9.1 0.4 51.5 %
2023 0.3 4.7 -1.0 3.2 1.1 4.9 4.7 -4.1 -2 2.7 1.6 -0.4 16.4 %
2024 6.1 6.5 12.7 2.7 -1.0 -1.9 -3.2 -0.8 1.2 -8 10.3 0.7 26.2 %
2025 7.3 -5.4 0.2 -3.1 -3.0 2.1 -5.7 2.4 -5.8 %
Some more information

Why CTA again?

Many investment strategies are inherently short volatility, relying heavily on rising stock prices to generate returns. However, their limitations become evident during market downturns, when the absence of meaningful diversification and unexpected correlation shifts expose vulnerabilities. In contrast, FrendFollowing strategies like GR_TrendFollowing, exemplified by Commodity Trading Advisors (CTAs), offer essential and authentic diversification within my portfolio—especially during periods of market instability. By capitalizing on sustained market trends, whether upward or downward, CTAs provide stability and adaptability when it matters most, proving their value during heightened market turbulence. The real-time results since January 2023 underscore the effectiveness and resilience of this approach.

Trading

The elegance of these strategies lies in their straightforward yet effective design. Each morning, data is carefully downloaded, and within 15 minutes, calculations ensure that theoretical models align seamlessly with practical execution. By evening, new orders are automatically dispatched to the exchange, just before the market closes. This approach is not a feat of magic, but rather a testament to disciplined craftsmanship. It guarantees that execution timing remains uninfluenced — an essential factor in maintaining the robustness and reliability of the strategy.

Data Used

Back-testing is often dismissed as mere theory or abstract mathematics. However, I recognize that the performance up to December 2022 reflects a combination of real - time trading outcomes and newly implemented systems. While historical achievements provide valuable insights, I find little satisfaction in endlessly revisiting past successes. My focus is clear and uncompromising — cutting through bureaucracy to channel my energy toward the present and future, where true progress is made.

Dedication

In collaboration with my dear friend and developer, Helmuth Vollmeier, in a fit of genius or maybe just sheer madness, we decided to hit the reset button on everything in 2022. It was like a software update for our lives — new and improved. Unfortunately, the joy of our new start was short - lived as Helmuth passed away suddenly in February 2023, leaving me deeply saddened. Despite facing phases of doubt and questioning the meaning of it all, I returned to my desk, immersing myself in learning once again, now without my dear friend Helmuth by my side! I dedicate this work to Helmuth Vollmeier, one of my best friends, my intellectual partner, my daily communicator, and companion!

Link to GR_Strategies in EUR and USD, which form the backbone of diversification.

GR_Strategies_EUR

GR_Strategies_USD