Market Momentum and Trend-Following: A Mid-Year Analysis of the Ivy Portfolio and S&P 500
As we move past the halfway point of the calendar year, investors are increasingly scrutinizing the durability of market trends. For many, the "Ivy Portfolio"—a strategy inspired by the legendary asset allocation models of Yale and Harvard endowments—serves as a primary barometer for risk management. By utilizing a disciplined, rules-based approach centered on monthly moving averages, this strategy attempts to navigate the complexities of shifting economic cycles.
This report provides a comprehensive update on the performance signals for the Ivy Portfolio and the S&P 500 as of the close of the last business day in June. While equities continue to exhibit resilience, the signals generated by these models offer a nuanced view of where capital should be allocated in the months ahead.

1. Main Facts: The State of the Trend
The core tenet of the Ivy Portfolio is simple yet rigorous: maintain equal weightings across five distinct asset classes and utilize a 10-month simple moving average (SMA) as a "gatekeeper." When an asset closes the month above its 10-month SMA, it remains in an "invest" position. When it slips below, the strategy dictates a move to cash to preserve capital during potential drawdowns.
As of the June month-end close, the landscape for the Ivy Portfolio remains largely positive, though there are emerging signs of caution. Notably, the iShares 7-10 Year Treasury Bond ETF (IEF) has triggered a cautionary signal, closing just below its 10-month SMA. This shift highlights a departure from the "invest" status that has characterized the broader portfolio for much of the spring.

Conversely, the S&P 500 continues to hold its ground. Despite a 1.1% dip in June, which concluded a brief two-month winning streak, the index remains firmly entrenched in an "invest" position across all three primary tracking metrics: the 10-month SMA, the 12-month SMA, and the 10-month exponential moving average (EMA).
2. Chronology: The Evolution of Market Signals
To understand the current positioning, one must look at the recent trajectory of these indices. The market environment in the first half of the year has been defined by a transition from broad-based optimism to a more selective, momentum-driven phase.

- Q1 2026: Markets began the year with strong momentum, keeping the Ivy Portfolio fully invested across all five asset classes.
- May 2026: The 12-month SMA for the Ivy Portfolio confirmed that all five ETFs were sustaining their upward momentum, marking a period of stability that lasted into the early summer.
- June 2026: The S&P 500’s monthly loss of 1.1% served as a reminder of the volatility inherent in equity markets. Simultaneously, the 10-month SMA signal for the IEF bond ETF flipped to "cash," providing the first meaningful divergence within the Ivy Portfolio’s model this year.
This chronology underscores the importance of the "whipsaw" risk—a common phenomenon where short-term price fluctuations create temporary buy or sell signals. While the 12-month SMA remains a steadier, less volatile metric, the 10-month signals have proven historically adept at identifying structural weaknesses before they devolve into systemic bear markets.
3. Supporting Data: Quantifying Market Health
Data-driven investing relies on transparency and consistent measurement. The following metrics illustrate how these assets are currently situated relative to their moving averages.

The Ivy Portfolio Breakdown
The Ivy Portfolio is constructed to capture the benefits of diversification across five major classes: Domestic Equities, Foreign Equities, Real Estate, Commodities, and Bonds. By balancing these, the strategy mimics institutional endowments that prioritize long-term growth with mitigated volatility.
- The 10-Month Perspective: The current data highlights that while four of the five asset classes remain above their moving averages, the IEF is the outlier. The use of "yellow flagging"—where a fund sits within 2% of its signal—is critical here. It alerts investors to potential reversals, suggesting that current "invest" positions in other assets are not guaranteed to hold through the next month.
- The 12-Month Perspective: Looking at the 12-month SMA, all five components remain in an "invest" status. This confirms that while short-term turbulence is present, the long-term trend remains intact.
The S&P 500: A Historical Context
Since 1995, the application of a 10-month SMA to the S&P 500 has proven to be a highly effective defensive mechanism. In June 2026, the S&P 500 closed 7.3% above its 10-month SMA and 8.9% above its 12-month SMA. These percentages suggest that, despite the June pullback, the index maintains a comfortable "buffer" above its trendline.

The use of the 10-month Exponential Moving Average (EMA) provides an additional layer of insight. By mathematically weighting recent price action more heavily, the EMA is designed to be more responsive to changes in market velocity. Its current "invest" signal serves as a secondary validation that the broader market remains in a state of expansion.
4. Official Perspectives and Theoretical Underpinnings
The logic behind trend-following strategies like the Ivy Portfolio is deeply rooted in behavioral finance. As noted by experts like Adam Butler, Mike Philbrick, and Rodrigo Gordillo in their seminal work on the strategy, the goal is not to "outsmart" the market, but to systematically manage exposure to it.

The Psychology of Momentum
Market participants are inherently imitative. When a trend is established, social and institutional pressure reinforces it, leading to sustained price movement. Conversely, when a trend breaks, the "imitation of success" flips into an "imitation of fear." The moving average strategy effectively removes the emotional burden of these cycles. By setting a hard rule—sell when the price crosses below the average—the investor avoids the psychological trap of holding onto depreciating assets in hopes of a "quick rebound."
Historical Resilience: The 1929 Precedent
The efficacy of these strategies is not limited to the modern era. Historical data from the Great Depression illustrates that moving average signals provided clear, actionable warnings well before the market bottomed out. While no strategy can perfectly navigate a crash, these models have historically succeeded in limiting the scope of catastrophic losses, allowing investors to participate in recovery phases with intact capital.

5. Implications for the Individual Investor
For those considering the implementation of a moving average strategy, several practical considerations must be addressed to ensure success.
Tactical Implementation
- Fund Selection: While the S&P 500 is used for broad illustrations, investors should apply these signals to the specific funds they hold. Dividend reinvestment is a crucial variable; failure to account for dividends can result in "false" sell signals.
- Tax Efficiency: This strategy is best deployed in tax-advantaged accounts (e.g., IRAs or 401(k)s). Frequent rebalancing and trading—should the signals trigger multiple exits and entries—can result in significant tax liabilities if held in a standard brokerage account.
- The "Whipsaw" Reality: Investors must accept that the strategy will never sell at the absolute top or buy at the absolute bottom. The objective is the avoidance of the "fat tails"—the massive, long-term losses that characterize bear markets.
Summary of Current Positioning
As we enter the next month, the consensus across the Ivy Portfolio and the S&P 500 signals is that the "invest" status remains the baseline for equity-heavy portfolios. However, the movement of the 7-10 Year Treasury Bond ETF into a "cash" position is a significant development. It suggests that while the equity markets are still signaling growth, the underlying interest rate environment or bond market sentiment is shifting.

Investors are encouraged to continue monitoring these signals at the close of every month. In a world of increasing volatility and unpredictable macroeconomic shocks, a disciplined adherence to trend-following metrics remains one of the most reliable ways to maintain portfolio health and avoid the pitfalls of emotional, reactionary investing.
Disclaimer: This report is for informational purposes only and does not constitute financial advice. The moving average strategy is an illustration of historical performance and does not guarantee future results. All investment decisions should be made in consultation with a qualified financial advisor and with full consideration of individual risk tolerance and tax implications.
