2024-05-03 Denar News
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall trend of the exchange rates
An initial observation of the data set shows that the MKD exchange rate experiences only minor fluctuations throughout the provided timestamp. As such, it would be fair to conclude that the overall trend of the exchange rate remains considerably stable. The changes that do occur revolve around a narrow bandwidth suggesting that substantial increases or decreases in the exchange rate are rare during this period.
Seasonality or recurring patterns in exchange rates
A closer examination of the data set fails to reveal any clear seasonality or recurring patterns in the changes of exchange rates. The fluctuations that take place appear to be random, with no observable periodicity or cycle. Additionally, within the timestamp provided, the exchange rates do not show any specific patterns which suggest a connectedness to a particular time of the day or specific intervals.
Inspection of outliers
While in-depth analysis is required to accurately identify outliers, on face value, the data does not present any notable instances where the exchange rate significantly deviates from the established norm. All the rates reside comfortably within the narrow bandwidth, and we do not note any rates which are significantly higher or lower than the average rate within the period shown.
In summary, the MKD exchange rate remains fairly stable within this given timeslot, without clear recurring patterns or significant anomalies. This lack of volatility suggests a stable economic environment within this period, but detailed analysis with additional datasets could provide an exciting opportunity for an even more nuanced understanding of MKD exchange rate behavior.
The above analysis focuses only on the data provided, ignoring potential influences such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports that would undoubtedly impact real-world analyses. Future exploration of this data in combination with such external factors could potentially reveal fascinating insights.