S&P 500 Seasonality and Why Long-Term Index Investors Can Ignore It

The discussion explains seasonal patterns in the S&P 500, focusing on monthly average returns and win rates, and examines whether investors should adjust their strategy based on these patterns. It outlines commonly cited reasons for September's weak performance and for relatively strong months such as April, November, and December. It then argues that long-term index investors do not need to act on seasonality and concludes with an overview of the Libecity platform.

■ S&P 500 seasonality
- Monthly average returns from 1950 to 2025 and monthly win rates from 2000 to 2026
- September as the weakest month, with cited explanations such as post-summer portfolio adjustments, tax-loss harvesting, bond issuance, and investor sentiment
- April, November, and December as relatively strong months

■ Applying seasonality to investing
- Conclusion that index investors should not try to time the market by seasonality
- Reasons: investors are not short-term traders; seasonal patterns are not guaranteed; searching for market hacks can be endless
- Risks of moving away from hands-off index investing and paying for investment tips

■ Libecity service overview
- Homework List, expert Q&A, peer community, free first 30 days, and asset-growth goal

It is suited to viewers who want an overview of S&P 500 seasonality and a rationale for maintaining a long-term index investing approach. Viewers can expect to understand the main seasonal patterns discussed and the argument for not using them as a trading strategy. The content does not present a guaranteed seasonal trading system.