Matrixport Reports June Bitcoin’s Historical Returns at 1.9%
- Matrixport analyzes Bitcoin’s 1.9% June average return.
- BTC volatility affects portfolio strategies.
- Investors seek yield in volatile months.

Matrixport, a crypto financial services firm, has analyzed Bitcoin’s historical June returns, revealing an average of 1.9%. The data underscores the month’s high market volatility, which investors must navigate.
This statistic highlights Bitcoin’s historical volatility in June, a critical insight influencing investment strategies. Market participants and investors seek to mitigate risks during these periods.
Matrixport’s Research
Matrixport’s research, led by Daniel Yu and grounded in detailed market forecasts, emphasizes Bitcoin’s high volatility historically observed in June. Jihan Wu founded Matrixport, enhancing the credibility of such insights.
Institutional involvement, spearheaded by Matrixport, includes structured products like SharkFin, aimed at yielding protective strategies for Bitcoin. Matrixport’s product strategy, engaging volatile conditions, includes enhancing returns and risk management.
“Our analysis indicates a growing institutional allocation to Bitcoin, with at least 1.55% portfolio recommendation as more mainstream financial integration occurs.” – Daniel Yu, Head of Asset Management at Matrixport
Investors experience heightened market volatility and engage in strategic management through structured products. Institutions aim to protect assets while seeking continuous market participation regardless of fluctuations.
Implications for Investment Strategies
Matrixport’s findings have broader implications for investment strategies, encouraging Bitcoin’s diversified allocation during unstable periods. Conclusive trends show increased support for portfolio adjustments reflecting current volatility conditions.
Institutional and regulatory insights suggest future predictions of Bitcoin are based on historical data, sentiment, and guided investment strategies during volatile periods such as June. Historical patterns are crucial for projecting future movements.