According to @StockMKTNewz, a single chart compiles S&P 500 annual returns for every year from 1900 through 2025, giving traders a long-horizon dataset for equity market cycle analysis (source: @StockMKTNewz on X, Jan 5, 2026). Using this annual series, traders can calculate hit rates of positive vs. negative years, rolling 5–20 year returns, and drawdown context to inform risk management and position sizing in equities (dataset source: @StockMKTNewz on X, Jan 5, 2026). For crypto, comparing S&P 500 regimes from this dataset with BTC and ETH cycles can help gauge risk-on/risk-off correlation and timing for allocation shifts across assets (dataset source: @StockMKTNewz on X, Jan 5, 2026). The post does not include specific statistics in text; traders should reference the shared chart for year-by-year figures before making decisions (source: @StockMKTNewz on X, Jan 5, 2026).

According to @StockMKTNewz, a complete year-by-year S&P 500 performance chart covering 1928 through 2025 was shared, giving traders a single visual reference of calendar-year gains and losses across multiple market cycles. Source: @StockMKTNewz on X, Jan 2, 2026. The post consolidates historical annual results into one chart, enabling traders to extract figures for backtesting equity beta and regime analysis while validating exact numbers from the original image. Source: @StockMKTNewz on X, Jan 2, 2026. For crypto-focused strategies, the calendar-year S&P 500 context can be used as a macro risk reference when framing BTC and ETH exposure alongside equity trend history, with all inputs taken directly from the shared chart. Source: @StockMKTNewz on X, Jan 2, 2026. The text of the post does not specify methodology details such as price return versus total return, so traders should confirm definitions from the image before applying the data. Source: @StockMKTNewz on X, Jan 2, 2026.