FactSet (FDS) Seasonality

Recurring seasonal patterns for FDS — the calendar windows where FactSet has historically tended to rise or fall, with the win rate (how often it repeated) and average return for each, based on up to 10 years of price history.

Patterns found
638
Bullish windows
12
Bearish windows
0
Best win rate
100%

FDS's strongest seasonal patterns

Seasonal windowDirectionAvg returnWin rateHold
Nov 1 – Dec 1Bullish+6.72%100%30d
Nov 2 – Dec 2Bullish+6.35%100%30d
Nov 3 – Dec 3Bullish+6.14%100%30d
Nov 4 – Dec 4Bullish+5.92%100%30d
Oct 31 – Nov 30Bullish+5.86%100%30d
Nov 5 – Dec 5Bullish+5.48%100%30d
Oct 30 – Nov 29Bullish+5.43%100%30d
Oct 29 – Nov 28Bullish+5.37%100%30d
Nov 1 – Nov 22Bullish+4.78%100%21d
Nov 2 – Nov 23Bullish+4.58%100%21d
Oct 31 – Nov 21Bullish+4.32%100%21d
Nov 9 – Nov 30Bullish+4.28%100%21d

Win rate = how often the pattern repeated in the same direction. Average return = the mean move across all analysed years. Past performance does not guarantee future results.

Explore FDS seasonality in full

See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.

What is FDS stock seasonality?

Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing FactSet's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where FDS has repeatedly risen (bullish) or fallen (bearish). Each pattern is scored by its win rate and average return so you can judge how reliable and how strong it has been.

Seasonality is one input among many — it works best alongside your own research and risk management. Learn more in our guide to seasonal analysis and the tutorials.

Seasonality for other tickers