@sell-in-may.com
Today's 20-day ^GSPC forecast.
**Trend**: ^GSPC displays moderate upward momentum with low volatility (60th percentile). Confidence intervals tighten post-20 days, reflecting stability. **Action**: Trade cautiously—moderate gains likely in flat regimes.
**Trend**: ^GSPC displays moderate upward momentum with low volatility (60th percentile). Confidence intervals tighten post-20 days, reflecting stability. **Action**: Trade cautiously—moderate gains likely in flat regimes.
January 21, 2026 at 9:56 PM
Today's 20-day ^GSPC forecast.
**Trend**: ^GSPC displays moderate upward momentum with low volatility (60th percentile). Confidence intervals tighten post-20 days, reflecting stability. **Action**: Trade cautiously—moderate gains likely in flat regimes.
**Trend**: ^GSPC displays moderate upward momentum with low volatility (60th percentile). Confidence intervals tighten post-20 days, reflecting stability. **Action**: Trade cautiously—moderate gains likely in flat regimes.
Sell in May; go away; buy again after Labor Day.
It may be good advice, but #statistics provide a better window into the behavior of your #stocks.
Sell in May is available for iOS and MacOS, and includes a local, statistical model, trained with the last decade of S&P500 data.
apple.co/49vxgrK
It may be good advice, but #statistics provide a better window into the behavior of your #stocks.
Sell in May is available for iOS and MacOS, and includes a local, statistical model, trained with the last decade of S&P500 data.
apple.co/49vxgrK
January 20, 2026 at 12:01 AM
Sell in May; go away; buy again after Labor Day.
It may be good advice, but #statistics provide a better window into the behavior of your #stocks.
Sell in May is available for iOS and MacOS, and includes a local, statistical model, trained with the last decade of S&P500 data.
apple.co/49vxgrK
It may be good advice, but #statistics provide a better window into the behavior of your #stocks.
Sell in May is available for iOS and MacOS, and includes a local, statistical model, trained with the last decade of S&P500 data.
apple.co/49vxgrK