AI-powered seasonal analysis for 100 stocks and ETFs, backed by up to 98 years of historical data. Updated daily.
Stocks tend to perform differently depending on the time of year. These recurring tendencies, called seasonal patterns, are driven by earnings cycles, tax-loss harvesting in December, mutual fund rebalancing at quarter-end, and shifts in investor sentiment around holidays and elections. For example, the "sell in May and go away" effect reflects a well-documented tendency for stocks to underperform during summer months.
TradeWave analyzes up to 98 years of historical daily price data for each stock to identify the best and worst months to buy, calculate win rates and average returns per month, and score seasonal windows using AI. Each page below shows the complete monthly seasonality breakdown, election-cycle overlays for 2026, and any currently active AI-scored seasonal patterns.
Click any ticker to see its full seasonal analysis, or filter by sector using the buttons below.
Wave Viewer shows every seasonal window, AI score, and election-cycle overlay in real time. Free to start.
Start FreeLast updated 2026-07-04