2024-05-02 Tenge News
2024-05-01
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Firstly, we proceed with an initial inspection and cleaning of the data. In the process, we observe that the dataset is continuous with time intervals falling every 5 minutes, and providing the KZT exchange rate at each interval.1. Understanding the overall trend of the exchange rates
Upon close inspection of the data values, one can recognize a gradual and very slight upward shift in exchange rates as time progresses into May 2024. For a sizable duration of the data set, the exchange rates remain stable at 0.00309. However, we begin to see a rise starting from approximately 06:25:02, where it increases to 0.00311 and this increase further extends to 0.00312 near the end of the month. Therefore, we can conclude that there's a trend of a slow climb in the KZT exchange rate across this period. Although the rate of increase isn't drastic, it does exhibit a consistent upward pattern throughout.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
At first glance, the data does not seem to exhibit a pronounced seasonal variation. Most of the observed intervals maintain a constant rate, and spikes in the rate change are infrequent and do not follow any visible recurring pattern. To substantiate this, a more data-focused approach with automated algorithms could provide a more accurate conclusion. But from a manual analysis standpoint, the dataset does not provide enough information to definitively confirm any seasonality.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
The apparent stability of the exchange rates throughout the dataset implies there aren't any pronounced outliers to note. While there are periods of slight incremental change, these changes are minimal and remain within a tight range of the dataset's exchange rate values. Therefore, based on the provided data, we can conclude that there are no significant aberrations in the exchange rate that could be classified as outliers.