BITCOIN, ETHEREUM, AND ALTCOIN MONTHLY AND QUARTERLY RETURNS
What is the Bitcoin, Ethereum, and Altcoin Monthly and Quarterly Returns tool?
This returns analytics (%) for Bitcoin, Ethereum, and altcoins provides you monthly and quarterly historical performance of over 600 assets so that you can get better timing on your trades as well as choose the best periods of the year in order to make your long-term investments.
BTC MONTHLY RETURNS
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TRADING DIGITSYear | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
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The Monthly Returns heatmap shows historical month-by-month performance of Bitcoin and Ethereum in a color-coded calendar format, making it easy to identify seasonal patterns, bull and bear market phases, and relative performance between the two assets. Green cells represent profitable months; red cells represent losing months; color intensity reflects the magnitude of the return.
Seasonality patterns in Bitcoin's monthly returns are among the most discussed in the crypto community. Historically, certain months have shown consistent tendencies across multiple cycles. These patterns are not mechanical laws, but they reflect real behavioral dynamics: institutional rebalancing, tax-loss selling, and the impact of annual event cycles on market sentiment.
Comparing Bitcoin and Ethereum monthly returns side by side reveals periods where both assets move together — broad risk-on or risk-off phases — and periods where one significantly outperforms the other, signaling capital rotation. Extended periods where Ethereum consistently outperforms often signal a broader altcoin bull phase; sustained Bitcoin outperformance often indicates capital concentrating in the largest asset.
The quarterly and annual return views help zoom out from monthly noise to identify the bigger picture — which years were structural bull markets, which were bear markets, and where the current year's performance sits in historical context. This long-view perspective is useful for calibrating expectations and avoiding the recency bias that single-timeframe analysis encourages.