2024-04-26 Pula News
2024-04-25
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates
The exchange rates provided fluctuates across the dataset. However, what is noticeable in the data is that there seems to be a very slight downward trend from the start of the day until around the sixth hour. After the sixth hour, there is a noticeable rise in the exchange rate, which peaks at the eighth hour of the day. Following this, there is a gradual decline in the rate towards the end of the day.
2. Identifying any seasonality or recurring patterns in the changes of the exchange rates
Upon a closer look at this time series data, a degree of seasonality can be detected. We see a consistent pattern where exchange rates gradually decrease during the first few hours of the day, then rapidly increase around the morning hours (6th to 8th hour), and then decrease again towards the end of the day. This seasonality seems consistent and could be reflective of typical market behaviors.
3. Noting any outliers
Within the provided dataset, there are several instances where the exchange rate differs significantly from the general trend. For example, at the 6th hour and 25th minute, the rate suddenly increases, distinctly separating itself from the gradual decline of the prior hours. This sudden increase is an outlier as it strays considerably from the overall trend.
A noted downtick around the 14th and 18th hour also sticks out as abnormal for the general trend of the data, which at those times gradually decrease. At these points, these could be considered as outliers as well.
Lastly, the exchange rate increase at the end of the 21st hour and begins to decrease again at around the 22nd hour, this fluctuation can be considered an outlier as the pattern does not fit the observed downward trend during these hours.
However, it's critical to note that these outliers don't necessarily represent errors or anomalies, but they may reflect dramatic market activities requiring further investigation.