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Strength in the Storm: Introducing the WisdomTree Adaptive Moving Average Funds

Published March 12, 2026

Ayush Babel
Ayush Babel

Director, Quantitative Research

Alejandro Saltiel, CFA
Alejandro Saltiel, CFA

Head of Indexes, U.S.

Key Takeaways

  • After multiple severe equity drawdowns over the past 25 years including the Dot-Com Bust and the Global Financial Crisis investors have sought strategies that aim to participate in sustained equity uptrends while reducing exposure during prolonged downturns.
  • The WisdomTree U.S. Adaptive Moving Average Fund (WAMA) and WisdomTree International Adaptive Moving Average Fund (WIMA) follow rules-based frameworks designed to adjust equity exposure based on long-term market trends.
  • By combining a buffered 200-day trend signal with a breadth overlay that enables faster re-entry during recoveries, WAMA and WIMA provide a transparent, rules-based strategy designed to balance downside defense with timely participation as global equity markets recover.

Equity investing rewards patience but surviving major drawdowns is often what determines long-term outcomes. Over the past 25 years, investors have experienced multiple severe equity market declines: the Dot-Com bust, the Global Financial Crisis, the COVID-19 shock, the 2018 correction and the 2022 inflation-driven selloff. In each case, losses were swift, deep and challenging to mitigate.

The Adaptive Moving Average framework was built to address that reality: participate in sustained uptrends while seeking to reduce exposure during prolonged downturns.

Below, we examine how the U.S. Adaptive Moving Average and International Adaptive Moving Average Indexes are designed.

Designing the WisdomTree Adaptive Moving Average Indexes

A Buffered 200-Day Trend Signal

The U.S. and International indexes use a moving average crossover applied to the WisdomTree 500 and WisdomTree International LargeCap Indexes respectively.

  • A long position is initiated when the index closes 1% above its 200-day simple moving average (SMA) for two consecutive trading days.
  • The position is exited when the index closes below 1% below its 200-day SMA for two consecutive trading days.
  • Signals are evaluated daily and implemented with a two-day lag.

The ±1% buffer and two-day confirmation are designed to reduce whipsaw trades around the long-term trend.

A Breadth Overlay for Faster Re-Entry

To enhance responsiveness during market stress, a breadth overlay is incorporated.

This measure tracks the percentage of index constituents trading above their own 200-day SMAs.

  • When the strategy is out of equities and breadth rises above 15%, a long position is initiated.
  • A 5% stop-loss is applied to this position.
  • If triggered, the position is exited at the close of the next trading day.

A Visual Representation of the SMA Indicator

As seen in the figures below, the 200 day SMA indicator effectively captures the long term uptrends and downtrends. The signal is effective in identifying market regimes helping the strategy pivot accordingly. The daily signal review helps the strategy react to market events quicker, making the strategy agile and better suited for volatile markets.

  • An index falling below its 200-day SMA could indicate the development of a long-term negative trend
  • An index rising above its 200-day SMA could indicate an upcoming rally

Figure 1: Adaptive Moving Strategy in Practice: WisdomTree 500 Total Return Index

figure-1.jpg

Sources: WisdomTree, FactSet. Returns from 9/5/2023 to 3/3/2026. Past performance is not indicative of future results. You cannot invest directly in an index.

Figure 2: Adaptive Moving Strategy in Practice: WisdomTree International 500 Total Return Index

figure-2-1.jpg

Sources: WisdomTree, FactSet. Returns from 2/10/2022 to 3/3/2026. Past performance is not indicative of future results. You cannot invest directly in an index.

Inherently the 200 day SMA can be slow moving in times of quicker recovery leading to investors missing out on the crucial recovery period. In order to mitigate this, the WisdomTree adaptive moving average strategies deploy the breadth overlay allowing greater participation in market recoveries.

A Disciplined Approach to Changing Markets—The WisdomTree Adaptive Moving Average ETFs

WisdomTree is introducing two new ETFs that leverage the above strategies within an ETF wrapper.

  1. WisdomTree U.S. Adaptive Moving Average Fund (WAMA)
  2. WisdomTree International Adaptive Moving Average Fund (WIMA)

Markets will continue to cycle through expansion and contraction. What matters is how portfolios respond.

The Adaptive Moving Average Funds seek to:

  • Participate in sustained uptrends
  • Systematically reduce exposure during prolonged downturns
  • Incorporate breadth signals for improved recovery participation
  • Remove emotion from allocation decisions

For investors seeking equity exposure that adapts to broader market trends, this rules-based approach offers a transparent and repeatable framework designed to balance participation and downside mitigation across market cycles.

Categories

Related Products

  • WIMA

    International Adaptive Moving Average Fund

About the contributors

Ayush Babel
Ayush Babel

Director, Quantitative Research

Ayush Babel is the Director of Quantitative Research in WisdomTree's multi-asset quantitative research and index teams. In this role, he focuses on developing innovative quantitative strategies across various asset classes while supporting WisdomTree's diverse range of products. His expertise spans factor exploration, portfolio construction and optimization, quantitative investment research, and product development.

With over a decade of experience in the financial services industry, Ayush has held investment research roles at J.P. Morgan and Franklin Templeton. At these institutions, he was responsible for developing and managing equity and fixed income smart beta products, as well as cross-asset risk premia solutions for global institutional and retail clients. His experience covers a broad spectrum of asset classes and investment styles.

Ayush holds a bachelor's in Engineering Physics and a master’s degree in Nanoscience from the Indian Institute of Technology, Bombay.

Alejandro Saltiel, CFA
Alejandro Saltiel, CFA

Head of Indexes, U.S.

Alejandro Saltiel joined WisdomTree in May 2017 as part of the Quantitative Research team. Alejandro oversees the firm’s Equity indexes and actively managed ETFs. He is also involved in the design and analysis of new and existing strategies. Alejandro leads the quantitative analysis efforts across equities and alternatives and contributes to the firm’s website tools and model portfolio infrastructure. Prior to joining WisdomTree, Alejandro worked at HSBC Asset Management’s Mexico City office as Portfolio Manager for multi-asset mutual funds. Alejandro received his Master’s in Financial Engineering degree from Columbia University in 2017 and a Bachelor’s in Engineering degree from the Instituto Tecnológico Autónomo de México (ITAM) in 2010. He is a holder of the Chartered Financial Analyst designation.

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