2024-05-15 Nakfa News
2024-05-14
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analyzing the given ERN exchange rate data, the following points are clear:1. Understanding the overall trend of the exchange rates
This dataset shows a relatively stable ERN exchange rate for the period given. There are subtle fluctuations, but notably, the ERN starts from a value of 0.0912 at the start of the day and ends at 0.09097. This means there is a minor overall decrease in the value throughout this specific day. However, this decrease is somewhat negligible and the rate remained relatively consistent, suggesting a stable market condition for this period.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
Given that the data only covers a single day, it is challenging to identify any seasonality or long-term recurring patterns accurately. However, if we focus on an intraday level, the dataset shows some degree of volatility during the day; the rate seems to decrease slightly in the mid-day period, and it increases again at the end of the day. However, this pattern is quite subtle, and without additional data from more days, it's hard to declare this as a definitive daily pattern.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
As per the data provided, no significant outliers were noted. All fluctuations within this dataset are quite minimal and within a close range of values. This means that no instances were detected where the exchange rate differs substantially from what would be expected based on the day’s trend. These observations indicate that the market was likely to be working under normal conditions on this day, without the influence of any significant unexpected events.
In conclusion, the data reveals a fairly stable ERN exchange rate with some minor intraday fluctuations. Unfortunately, due to the limited span of the data, i.e., one day, it is challenging to identify any significant long-term trends, patterns, or seasonality.