Summary of Last Month
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Analysis of KMF Exchange Rate Time Series Data
Upon examining and analyzing the provided dataset which is a time series representation of changes in KMF exchange rates at different timestamps, the following trends, patterns, and observations were seen:
Understanding the overall trend of the exchange rates
1. For a significant amount of this time period, namely from 2024-02-26 00:00:02 to 2024-02-26 10:10:03, the exchange rate was stable and unchanging at 0.00297. This indicates a period of stability in the market, with no influence of external factors causing any changes.
2. After this period, the exchange rate rose slightly to 0.00298 and remained constant until the end of the dataset. This minor increase indicates a small level of inflation but is not of significant concern, considering the minimal level of the increase.
Identifying any seasonality or recurring patterns in the changes of exchange rates
In the given data there is no clear evidence regarding any seasonality or recurring patterns in the changes of exchange rates as the changes are quite constant overall. The data does not span across multiple seasons or years to be able to assess any trend or pattern pertaining to different times of the year. Further, intra-day changes appear to be non-existent and daily patterns are minimal as the dataset spans across just a single day.
Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
Based on the data provided, there are no major outliers or significant deviations from the overall trend. The change from 0.00297 to 0.00298 is very small and consistent across time after the change. Indeed, it is not enough to be considered as an outlier, given that it subsequently stays constant at the later stages.
These interpretations are made solely based on the dataset provided without accounting for any specific events, external factors like market opening/closing hours, weekends/holidays, and the release of key financial news and reports.