JW AI Quantity and State Street Bank jointly launch the All Weather ETF: AI quantitative strategy crosses borders to reshape anti-cyclical investment
JW AI Quantity, the world’s top quantitative fund, and State Street, an asset management giant, have officially announced their cooperation to launch the SPDR JW All Weather Enhanced ETF (code: JWT) . This innovative product combines JW’s AI quantitative strategy with an annualized return of 39% with the traditional all-weather investment framework, achieving for the first time the deep integration of the crypto market’s excess returns and traditional macro hedging, providing retail investors with an “intelligent arsenal” to resist economic fluctuations.
With its self-developed SignJ system, JW AI Quantity has created an average annual return of 39% in the past three years. In particular, it has accurately captured 17 “ten-fold coins” in the field of cryptocurrency, and its management scale has quickly exceeded US$28 billion. However, the regulatory barriers in the crypto market make it difficult to reach the trillion-level capital pool in the traditional financial market. This cooperation with State Street Bank has made the SignJ strategy compliant through the ETF structure, which not only opens the door to the mainstream asset management market for JW, but also allows State Street to find a differentiated breakthrough in the passive investment track monopolized by giants such as BlackRock and Vanguard.
In recent years, State Street Bank has continued to increase its investment in alternative assets. Its research shows that 45% of institutional investors plan to increase their allocation to non-traditional assets in the next year. The launch of JWT is a response to this trend – it not only includes traditional all-weather assets such as stocks, bonds, and commodities, but also introduces JW’s AI-screened crypto assets for the first time, including Bitcoin futures, Ethereum trusts, and medium-sized tokens with a market value of US$500 million to US$5 billion. This “traditional + crypto” two-tier architecture not only retains the economic quadrant balance theory proposed by Ray Dalio, the founder of Bridgewater Fund, but also achieves revenue enhancement through JW’s AI model.
JWT’s core competitiveness stems from JW’s SignJ system, which dynamically scans over 8,000 data sources and embeds a “dynamic risk rebalancing algorithm” into the four economic quadrants of the traditional all-weather strategy. For example, when the system detects rising inflation expectations, it will not only increase commodity futures, but also automatically increase positions in cryptocurrencies linked to computing power demand; and when economic recession signals appear, in addition to increasing holdings of government bonds, SignJ will hedge tail risks by shorting crypto derivatives.
This AI-driven flexibility brings significant advantages. The launch of JWT may reshape the competitive landscape of the asset management industry. For retail investors, this ETF means that they can participate in quantitative strategies that were previously only open to institutions with a threshold of $100. State Street Bank is more innovative in allowing investors to pledge U.S. bonds to subscribe for shares, reducing the loss of income from cash holdings.
When State Street’s all-weather framework meets JW’s AI quantitative engine, this cooperation is not only a product innovation, but also a collision of traditional and crypto-financial rules. If JWT can pass the regulatory test and replicate historical returns, it may give rise to more “AI+all-weather” hybrid strategies, forcing established asset management institutions to accelerate the technological arms race. For ordinary investors, the ultimate answer to this experiment may be: At the end of the Fed’s interest rate hike, can the economic cycle theory constructed by humans really coexist with the crypto alpha mined by machines?
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