2024-05-14 Lek News
2024-05-13
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
Understanding the Overall Trend of the Exchange Rates
The dataset provides time series data for exchange rates starting at 12:00 AM on May 13th, 2024, and ending at 11:55 PM on the same day. The time series data shows slight fluctuations in the exchange rate throughout the day. The exchange rate initiates at 0.01465 and remains stable for the most part till 8:20 AM where a slight decline to 0.01464 is observed. However, this rate promptly gets back to 0.01465 after 10 minutes and continues to be consistent till around 6:20 AM where a slight increase to 0.01467 is observed. Hereafter, the values start to rise more consistently, reaching at 0.01468 around 6:30 AM and maintaining this till the end of the data set, with a brief peak to 0.01469 between 9:25 PM to 10:20 PM. Therefore, the overall trend seems to be a slow and steady rise in the exchange rate.
Identifying Seasonality or Recurring Patterns
Due to the narrow timeframe of the data (a single day), it is not possible to identify any seasonality or recurring patterns as those usually require data from longer periods like months or years. However, the data would suggest a tendency for the rate to remain mostly stable during the early hours (12:00 AM - 6:10 AM), followed by a slight but constant increase through the rest of the day.
Noting Any Outliers
Over the course of the observed period, the exchange rates fluctuate between 0.01464 and 0.01469. There are no significant outliers present in this dataset, as there are no instances where the exchange rate differs significantly from the observed range. The highest value at 0.01469, seen between 9:25 PM and 10:20 PM, is still within the overall trend and does not represent an abnormal spike.
Please note that this analysis purely takes into account the given dataset and does not factor in any external influence such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports.