2024-04-23 North Korean Won News
2024-04-22
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Upon conducting a comprehensive analysis of the provided dataset, the following observations were made:
1. Understanding the overall trend of the exchange rates:
The exchange rates between the timestamps provided in the dataset remained fairly stable throughout the period. From the provided set of data, there is no distinct increasing or decreasing pattern. The trade price fluctuated between 0.00152 and 0.00153. Hence, the stability of the exchange rate seems to be a characteristic pattern for this dataset.
2. Identifying any seasonality or recurring patterns:
From the given dataset, there doesn't seem to be any strong sign of seasonality or recurring patterns in the exchange rates. The rates maintain around the same threshold throughout, indicating that there aren't any conspicuous cyclical fluctuations which could indicate a seasonal pattern. However, a deeper analysis using techniques like Fourier analysis could reveal more subtle cyclical patterns not immediately apparent from a broad overview. Nevertheless, based on the provided data, no such patterns emerge.
3. Noting any outliers or instances where the exchange rate differs:
Upon observation, the data does not contain any significant outliers or major deviations from the observed trend. All observations fall in a very narrow range between 0.00152 and 0.00153, showing a stable pattern without any surprising fluctuations or anomalies. Therefore, for this particular dataset and the specified time frame, it doesn't seem to contain any outliers.
It should be noted that due to the scope of the provided data (only consisting of the exchange rate and timestamp), the above analysis is purely based on the chronological movement and does not consider any external factors like market opening/closing hours, weekends/holidays, political events, or the release of key financial news and reports that might have a significant impact on exchange rates.