GR_Strategies EUR

Date GR_Strategies DAX SP500
15 Aug 2025 -0.66 % -0.07 % -0.29 %
Aug 2025 -0.02 % 1.22 % 1.74 %
2025 -6.45 % 22.35 % 9.66 %
Start 2023 35.62 % 74.95 % 67.99 %

GR_Strategies represents a carefully curated and comprehensive overview of the combined performance of all strategies employed within my portfolio. These strategies are designed to operate cohesively, offering diversification and resilience across a wide spectrum of market conditions. The real - time results since January 2023 highlight the effectiveness and adaptability of this approach.

GR_Strategies analysis since start

Performance table since start 2023 (EUR):

GR_Strategies: 35.62 %
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
2023 4.7 -1.3 0.4 2.0 0.9 5.7 2.8 -1.7 -4.7 0.2 4.7 4.4 19.0 %
2024 3.0 5.2 6.3 -0.7 1.0 2.6 -2.6 -2.1 0.2 -3 11.3 -0.3 21.9 %
2025 3.5 -1.3 -6.6 -5.4 0.1 2.6 0.9 -0.0 -6.4 %

Performance and Risk Metrics for GR_Strategies

Performance Metrics

GR_Strategies
Cumulative Return (%) 35.62
Ann. Return (%) 11.88
Ann. Sharpe Ratio 0.95
MAR Ratio 0.71

Risk Metrics

GR_Strategies
Ann. StdDev. (%) 12.51
SemiDeviation (%) 0.60
Max DrawDown (%) 16.79
Value-at-Risk (%) -1.36

Daily Metrics

daily metrics (%)
Av. Return (%) 0.05
Best Day (%) 3.19
Worst Day (%) -4.17
Av. Up-Day (%) 0.55
Av. Down-Day (%) -0.63
Pct Up-Days (%) 57.00
Pct Down-Days (%) 43.00

Monthly Metrics

monthly metrics (%)
Av. Return (%) 0.90
Best Month (%) 11.35
Worst Month (%) -6.57
Av. Up-Month (%) 3.04
Av. Down-Month (%) -2.48
Pct Up-Months (%) 61.00
Pct Down-Months (%) 39.00

Drawdown Analysis in Days

From To Depth Length
2025-02-20 In Progress -16.79 % 128
2024-07-11 2024-11-22 -12.36 % 97
2023-02-03 2023-05-18 -7.60 % 75
2023-07-27 2023-12-11 -6.92 % 98
2024-04-16 2024-05-10 -3.28 % 19

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

GR_Strategies TLT VNQ UUP EFA DBC GLD DAX SPY
Annualized Return 11.9% -1.5% 7.1% 3.3% 16.6% -0.9% 24.4% 22.9% 22.6%
Annualized Std Dev 12.5% 15.4% 18.1% 7.0% 14.5% 15.0% 15.1% 14.5% 15.5%
Annualized Sharpe 0.95 -0.10 0.39 0.48 1.15 -0.06 1.62 1.57 1.46
Worst Drawdown 16.8% 22.4% 21.8% 10.1% 14.1% 13.8% 11.3% 16.0% 18.8%

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

GR_Strategies DAX SP500
GR_Strategies 1.000 0.307 0.531
DAX 0.307 1.000 0.551
SP500 0.531 0.551 1.000

More analysis for GR_Strategies

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

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

GR Strategies Return versus Other Asset Classes

Extended analysis dating back to 2011

GR_Strategies TLT VNQ UUP EFA DBC GLD SPY DAX
Annualized Return 17.3% -9.1% 5.8% 3.9% 10.2% 12.4% 10.6% 15.0% 13.1%
Annualized Std Dev 13.0% 15.9% 19.1% 7.1% 16.1% 18.6% 14.9% 17.2% 17.1%
Annualized Sharpe 1.33 -0.57 0.30 0.55 0.63 0.67 0.71 0.87 0.77
Worst Drawdown 16.8% 46.7% 34.5% 10.4% 29.5% 27.3% 21.0% 24.5% 26.4%

Longterm Return Table for GR_Strategies starting 2011

[1] “2025-08-16”

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Year
2011 4.4 -1.5 9.7 0.6 -3.3 7.1 -1.1 -6.3 2.9 1.6 5.5 20.1 %
2012 4.6 1.7 2.8 1.1 3.8 -2.0 4.2 0.1 -1.1 -2.7 2.1 0.9 16.3 %
2013 4.7 -1.9 1.9 3.8 0.3 -4.8 4.6 -3.4 3.5 4.8 2.1 2.3 18.6 %
2014 -3.5 6.2 -1.6 2.9 3.0 2.6 -2.1 9.9 1 2.3 5.9 1.6 31.4 %
2015 17.2 0.4 4.4 -2.7 3.1 -3.8 1.6 -6.8 0.3 4.3 4.4 -5.4 15.9 %
2016 0.6 0.0 -0.3 -0.5 0.2 3.2 4.1 -0.7 1.6 -5.4 3.6 2.2 8.6 %
2017 1.3 9.2 -1.0 0.7 1.2 1.0 8.6 2.6 -2.1 5.2 5.7 2.6 40.3 %
2018 9.5 -4.7 -1.4 0.4 -0.2 1.5 2.9 5.1 -0.7 -6.5 1 -1.7 4.4 %
2019 3.7 3.8 5.1 2.9 -2.2 6.7 3.1 4.8 -1 -0.1 3 3.5 38.4 %
2020 4.1 1.2 -0.5 7.3 0.6 0.0 7.7 3.7 -3.8 -3.3 10.6 5.9 37.9 %
2021 -2.8 4.3 1.5 9.5 2.3 -0.3 2.4 2.4 -2.4 8.9 -0.1 3.6 32.6 %
2022 -1.6 0.6 9.2 2.6 -0.3 -0.2 6.0 1.5 2.2 0.1 -2.1 -5 12.8 %
2023 4.7 -1.3 0.4 2.0 0.9 5.7 2.8 -1.7 -4.7 0.2 4.7 4.4 19.0 %
2024 3 5.2 6.3 -0.7 1.0 2.6 -2.6 -2.1 0.2 -3 11.3 -0.3 21.9 %
2025 3.5 -1.3 -6.6 -5.4 0.1 2.6 0.9 -0.0 -6.4 %
Some more information

My portfolio comprises:

  • GR_TrendFollowing (= CTA - Commodity Trading Advisor) strategy, which forms the backbone of diversification with a 30 % allocation. This strategy excels in capturing trends and providing stability during market volatility.
  • Volatility strategies, tailored to capitalize on both sudden and sustained market fluctuations, enhancing risk - adjusted returns.
  • Momentum accumulation strategies, focusing on harnessing and leveraging market trends for consistent and sustainable growth.
  • Asset rotation strategies, dynamically reallocating capital across asset classes to optimize returns and mitigate risks.
  • Additional advanced and highly specialized approaches, crafted to adapt seamlessly to complex and evolving market dynamics.

Together, these strategies create a robust and well - balanced portfolio framework. By blending simplicity with sophistication, the approach ensures adaptability, consistency, and long - term success, even in the face of unpredictable market conditions.

Uncorrelated Strategies

The cornerstone of success lies in the deliberate and precise integration of diverse, genuinely uncorrelated strategies, executed with unwavering discipline and emotional composure. My approach is devoid of the influence of greed or fear, guided instead by the principles of expertise and professionalism. Each decision is the product of meticulous analysis and a technically sound methodology, consciously avoiding impulsive or reactionary behavior. Furthermore, all decisions are grounded 100% in mathematical and statistical principles, ensuring objectivity and consistency. By consciously excluding any human influence, the process eliminates the risk of emotional bias or subjective judgment. This steadfast adherence to strategy allows me to navigate the complexities of the markets with confidence and consistency, maintaining an unyielding commitment to excellence.

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_TrendFollowing, which form the backbone of diversification.

GR_TrendFollowing

This is the link that brings you to the Dollar version of GR_Strategies_USD!

GR_Strategies_USD