Extracted Oils & Derivatives Co. (ZEOT) Seasonality
Based on month-end closing prices over the last 10 years.
Across the last 10 years, Extracted Oils & Derivatives Co. averaged its strongest calendar month in December (+11.33%) and its weakest in March (-4.26%). These are averages of past month-to-month price changes — individual years vary widely around them, and a strong average month still contains losing years.
- January+1.06%
- February-3.16%
- March-4.26%
- April+6.55%
- May-3.71%
- June+6.34%
- July+3.09%
- August+10.64%
- September-1.07%
- October+6.33%
- November+8.06%
- December+11.33%
| Month | Average return | Positive months | Observations |
|---|---|---|---|
| January | +1.06% | 60% | 10 |
| February | -3.16% | 20% | 10 |
| March | -4.26% | 30% | 10 |
| April | +6.55% | 60% | 10 |
| May | -3.71% | 20% | 10 |
| June | +6.34% | 60% | 10 |
| July | +3.09% | 60% | 10 |
| August | +10.64% | 80% | 10 |
| September | -1.07% | 40% | 10 |
| October | +6.33% | 50% | 10 |
| November | +8.06% | 70% | 10 |
| December | +11.33% | 60% | 10 |
How to read these numbers
Read the three columns together, not separately. The average return is the mean month-to-month price change for that calendar month. The positive share is how often that month finished higher — a month can average a gain while finishing higher only half the time, because one exceptional year lifts the mean. The observation count tells you how much data sits behind both figures: with ten observations, a single outlier year moves the average noticeably, so treat months with a high average and a low positive share as unreliable rather than promising.
Why some patterns recur
Recurring monthly patterns on the Egyptian Exchange usually have mundane explanations rather than predictive ones: results season concentrates earnings news in specific months, dividend dates pull prices down mechanically on ex-dividend day, and index reviews shift demand for constituents. Ramadan and the summer holiday period also change trading volumes each year, and because both move on the Hijri calendar their effect drifts across Gregorian months rather than staying fixed. A pattern that survives only because of a single crisis year is not a pattern.
Method
Method: we take the last closing price of each calendar month from our own EGX price history, compute the percentage change from the previous month's close, then group those changes by calendar month across the last 10 years. Months are only shown once at least two observations exist, and this page is published only for symbols with at least five years of history.
Seasonality describes what happened in past calendar months. It is not a forecast, not a signal, and not investment advice. Past monthly averages have no reliable power to predict any future month, and nothing on this page should be used on its own to decide when to buy or sell. Informational only, not investment advice.