Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
The given dataset includes a time series of TJS exchange rates from February 19, 2024, to February 23, 2024. The frequency of observations is irregular, ranging from 1 hour to several hours. The exchange rates are given at a high precision of 5 decimal places. The primary intention of this analysis is to understand the overall trend, detect any patterns or seasonality, and identify any outliers.
Understanding the Overall Trend
The overall trend of the exchange rates appears to be relatively stable through these few days of data, with some fluctuations. Based on a higher to lower view, we notice a slight decrease in the rates initially, a mild increase somewhere in the middle, and then a dip, followed by another slight increase towards the end. However, there does not seem to be a strong increasing or decreasing trend in the rate for these few days, and the values hovered around the 0.123 mark.
Identifying Seasonality or Recurring Patterns
In this dataset, identifying any seasonality or recurring patterns is somewhat challenging due to the short span of the data and the irregular observation intervals. However, we can see some daily fluctuations, which could be the effect of trading activities during day and night. Further observations and data from a longer period would strengthen this analysis.
Noting Any Outliers
The exchange rates consistently remain near the 0.123 mark, with slight fluctuations. The lowest observed rate is 0.12273, and the highest is 0.12384. The rate reaching these maximum and minimum values could be considered mild outliers, but they don't differ drastically from the general trend. As these are within typical daily fluctuations, they should not be considered significant outliers unless there is further information indicating these occurred due to unusual circumstances.
World Events and Market Timing
This analysis was performed with the express instruction to disregard external factors such as market timings, weekends, and world events, which could have significant effects on the exchange rates. Therefore, this analysis purely considers the numerical trends and patterns observable within the provided data set.