2024-05-02 Ngultrum News
2024-05-01
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis of the Exchange Rate
Looking at the dataset provided, it's clear to see that the exchange rate (BTN) remained fairly stable through most part of the day with minor fluctuations. The exchange rate starts at 0.0164, drops slightly to 0.01639 then increases back to 0.0164 repeating this cycle a few times throughout the day.
Identifying Seasonality or Recurring Patterns
It would be challenging to identify any clear seasonality or recurring patterns in the exchange rate changes given the data. This is primarily because the dataset covers only one day's worth of exchange rate fluctuations and it's not ideal to conclude on seasonality based on this. However, one can observe a slightly higher frequency of fluctuations post 20:00 hours.
Noted Outliers in the dataset
Looking at the data, the exchange rate seems to dip to its lowest at 0.01633 around 13:55 and then begins to climb back up, ultimately reaching 0.01642 around 21:00. This event is considerable as an outlier in this particular dataset due to its deviation from the general trend observed during the day. It would require a larger dataset and further investigation to determine if this is an anomaly or part of a larger pattern not visible in the current dataset.
Understanding financial data, especially exchange rates, is a complex task that requires a detailed examination of large and diverse datasets. Longer time series data, coupled with knowledge of external factors like political events and economic indicators, can help form a more comprehensive understanding of exchange rate movements.