Automatic Data Processing (ADP) Seasonality

Recurring seasonal patterns for ADP — the calendar windows where Automatic Data Processing 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
624
Bullish windows
12
Bearish windows
0
Best win rate
100%

ADP's strongest seasonal patterns

Seasonal windowDirectionAvg returnWin rateHold
Jun 27 – Jul 27Bullish+6.90%100%30d
Jun 28 – Jul 28Bullish+6.50%100%30d
Nov 5 – Dec 5Bullish+4.89%100%30d
Nov 4 – Dec 4Bullish+4.80%100%30d
Nov 3 – Dec 3Bullish+4.75%100%30d
May 9 – Jun 8Bullish+4.38%100%30d
May 8 – Jun 7Bullish+4.18%100%30d
May 14 – Jun 4Bullish+3.80%100%21d
May 11 – Jun 10Bullish+3.51%100%30d
May 7 – Jun 6Bullish+3.49%100%30d
May 6 – Jun 5Bullish+3.37%100%30d
Nov 9 – Nov 30Bullish+2.86%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 ADP seasonality in full

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

What is ADP stock seasonality?

Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Automatic Data Processing's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where ADP 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