Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
Analysis of Exchange Rate Time Series Data
The dataset provided captures the changes in the exchange rates, denoted as the 'CDF' column, against a series of timestamps, given in the 'date_at' column. The exchange rate is a continuous variable captured at regular 5-minute intervals for a single day, specifically on February 28, 2024. Here is the analysis of the dataset based on the objectives:
1. Overall Trend of Exchange Rates
The exchange rates are constant throughout the given period, recorded at 0.00049. There is no visible overall increasing or decreasing trend for this dataset; instead, the rates stayed stable for the entire day. This is quite unusual as exchange rates usually fluctuate within a single day due to various factors such as supply and demand within the foreign exchange market.
2. Recurring Patterns/Seasonality in the Exchange Rates
In the given dataset, the phenomenon of seasonality or recurring pattern does not apply because the exchange rate has remained uniform through all the timestamps. Normally, if the data were recording over a more extensive period, such as a few months or years, possible seasonal influences and recurring patterns may have been observed. However, given the dataset spans only a day and there are no fluctuations in the rates, it's impossible to detect any recurrence or cyclical pattern.
3. Outliers within the Data
Outliers in a dataset typically refer to an observation that lies an abnormal distance from other values in a random sample from a population. In this regard, our dataset does not contain any outliers. Given the constant exchange rate observed throughout the day, there are no instances where the exchange rate differs significantly from the mean rate.
It is noteworthy that a stable exchange rate, as depicted by this dataset, is quite abnormal given the volatile nature of foreign exchange markets. Rates often fluctinate due to various factors such as economic indicators, market sentiment, political stability, and other macro-economic factors. However, this scenario may be a result of extreme market interventions by Central Banks or fixed currency exchange rate systems.