Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Understanding the Overall Trend of Exchange Rates
From the data provided, the PKR exchange rate seems to be quite stable from 2024-02-28 00:00:02 until 2024-02-28 02:25:02, maintaining a consistent value of 0.00489. After that point, we see a slight increase in the rate to 0.0049, which is then held steady until 2024-02-28 06:20:02. The rate then dips to 0.00487 till 2024-02-28 06:20:02 and is maintained until 2024-02-28 07:40:02, where it slightly decreases to 0.00486. After fluctuating between 0.00486 and 0.00487, the rate both increases and decreases again within the range of 0.00486 - 0.00488. This suggests that the exchange rates have been relatively constant with minor fluctuations.
Identifying Seasonality or Recurring Patterns
There does not appear to be any clear seasonality or recurring patterns in the data provided. The rate fluctuates within a narrow band. There are no apparent cycles of ups and downs that repeat over a specific period. While the data does exhibit some degree of volatility, this appears to be fairly random and non-cyclical. It should be noted that exchange rates are influenced by a complex array of factors, and the presence of unpredictable events can often disrupt any patterns that might otherwise exist.
Observing Outliers in the Data
There do not appear to be any significant outliers in the data provided. None of the rates deviate substantially from the running average or from the rates immediately before or after. An outlier would be a rate that is significantly higher or lower than the rates that come before and after it, which is not evident in the provided dataset.
Influence of External Factors
While external factors such as market opening/closing times, weekends/holidays, release of key financial news, and reports were not considered in this analysis, they can have a significant impact on exchange rates. Financial markets are sensitive to new information and their opening and closing times generally correspond to high activity periods. Similarly, days when financial news or reports are released can also see increased volatility in rates. However, without specific knowledge of when these events occurred in relation to the provided data, it is not possible to quantify their impact on exchange rates within this dataset.