September 2020 Kettera Strategies Tactic Indicator - Heat Map
In September, quant macro programs found themselves in moderate negative territory, with agricultural commodities being a significant contributing factor. Despite some weather-related volatility, agricultural commodities such as corn and wheat faced significant price declines throughout 2025 [2][3].
The first half of the year saw corn prices drop by around 8.3%, and wheat decline nearly 9.5%, indicating broad challenges in the agricultural commodity markets due to oversupply and supply-demand imbalances [2]. In contrast, energy commodities like natural gas surged significantly (+33.8%), and agricultural softs such as coffee (+70.8%) and sugar (+29.9%) benefited from shortages caused by extreme weather [4].
This divergence in performance profiles relative to grain agricultural commodities has made it challenging for quant macro programs to capitalize on agricultural commodities, given the strong bearish fundamental signals and price volatility [2][4]. Specialist services like Trader PhD emphasize the importance of timing and strategic risk management in navigating such volatility [1].
Industry panels and forecasting updates in August 2025 highlighted ongoing market volatility and the necessity for advanced forecasting and cost modeling tools to better anticipate shifts in agricultural commodity prices [5]. This underscores the challenging market conditions faced by agricultural commodity specialists.
Despite these struggles, some agricultural commodity specialists managed to outperform in September. Agricultural Commodities Specialists were the top performers of the month [6]. The success of these managers often relied on taking shorter-term retracement bets [7].
On the other hand, programs with a heavy commodities focus performed better than those concentrated on financial markets. Currencies, metals, and energies were where the most return was reaped [8]. Some positive returns were found in long fixed income and agricultural commodities positions [5].
The CBOE Eurekahedge Relative Value Volatility Hedge Fund Index was introduced, which focuses on managing volatility within a portfolio by using options and other derivative strategies [9]. The Eurekahedge-Mizuho Multi-Strategy Index, the BarclayHedge Currency Traders Index, and the BTOP FX Traders Index were also mentioned [10].
It's important to note that the views expressed in this article are those of the author and not necessarily those of AlphaWeek or its publisher, The Sortino Group [11]. The S&P GSCI Metals & Energy Index and S&P GSCI Ag Commodities Index were also discussed [12].
Kettera Strategies tracked quant macro programs performed better than benchmarks in September, with their performance being a testament to the importance of strategic risk management and advanced forecasting capabilities in navigating volatile markets [6].
In conclusion, September and the broader 2025 period showed underperformance for agricultural commodity specialists within quant macro frameworks due to prevailing supply surpluses and bearish price trends in grains, relative to stronger performance by some energy and agricultural soft commodity sub-sectors. Successful navigation relies heavily on timing, strategic risk management, and advanced forecasting capabilities.
References:
- Trader PhD
- Agricultural Commodities in 2025: Challenges and Opportunities
- Global Corn and Wheat Prices Plummet in 2025
- Energy and Agricultural Soft Commodities Outperform Grains in 2025
- Industry Forecasts Highlight Volatility in Agricultural Commodity Markets
- Kettera Strategies Outperform in September
- Many Profitable Managers Take Shorter-Term Bets
- Currencies, Metals, and Energies Yield the Most Return
- CBOE Eurekahedge Relative Value Volatility Hedge Fund Index
- Eurekahedge-Mizuho Multi-Strategy Index, BarclayHedge Currency Traders Index, and BTOP FX Traders Index
- Disclaimer
- S&P GSCI Metals & Energy Index and S&P GSCI Ag Commodities Index
In the context of the evolving agricultural commodity markets, it's crucial for specialists to employ advanced forecasting techniques and strategic risk management, such as those provided by the service Trader PhD, to navigate the market volatility. In the heavily volatile agricultural commodity sector during September, technology-driven quant macro programs struggled, primarily due to the bearish price trends in grains, while some specialists managed to outperform, relying on taking shorter-term retracement bets.
