TradeSmith’s seasonality tool identifies recurring ‘green days’ for stocks, analyzing decades of market data to pinpoint optimal buying and selling windows. The tool boasts an 83% historical accuracy rate, showing that these patterns have emerged in about eight out of every ten years.
For instance, Target Corp. has gained an average of 5.2% during a specific 29-day timeframe in late June to late July across the past 15 years, while Home Depot has risen 4.7% in a similar period. In a backtest over 18 years, seasonal trades yielded a total growth of 857%, outperforming the S&P 500.
TradeSmith will present a free webinar on July 16, at 10 a.m. ET to discuss these seasonal trading strategies and how investors can utilize this data effectively.
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