2024-05-16 Taka News
2024-05-15
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Analysis of the Exchange Rate Data
From the given dataset, the data appears to span a 24-hour period on the date of 15th May 2024. The data gives the exchange rate (BDT) recorded at regular five-minute intervals throughout this period.
Understanding the Overall Trend in Exchange Rates
The initial glance at the data shows relatively limited variability in the exchange rate. Throughout the 24-hour period, the exchange rate primarily oscillates between 0.01168 and 0.01169. Towards the end of the period, starting from around 20:15, there is a slight but noticeable increase in the exchange rate to 0.01169 and above. However, the exchange rate never exceeds 0.01170 within this period. The overall trend is generally stable but with a slight increase towards the end of the day.
Identifying Seasonality in Exchange Rates
Given the short duration of the data (one day), it's hard to accurately identify any seasonality or recurring patterns in the exchange rates. Further analysis over a more extended time-frame would be required for this.
Detection of Outliers
There are no significant outliers within the provided dataset. The exchange rate remains within the relatively narrow range of 0.01167 to 0.01170, with no specific instances showing a variance beyond this range.
External Factors
As we do not have information about external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports that could influence the changes in exchange rates, this analysis is purely based on the provided data.
In conclusion, this one-day data suggests that the exchange rates on this particular day had a stable trend with very minimal fluctuations. For a more comprehensive understanding of the underlying trends, seasonalities and potential outliers, it would be beneficial to analyze data over a longer time period.