Summary of Yesterday
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
- Standard Deviation:
The sample dataset shows exchange rate data for each respective timestamp in terms of JOD (Jordanian Dinar), specifically the change in its value over time.
1. Understanding the Overall Trend
The overall trend of this data set indicates a marginal increase in the exchange rate over the period in question. The rate begins at 1.90127 and ends at 1.9043 with intermittent fluctuations throughout the sequence. Although not perfectly linear, this upward movement signifies a possible appreciation in the value of JOD during this period.
2. Identifying Seasonality or Recurring Patterns
Identifying seasonality or recurring patterns in time-series data requires a well-spread sample dataset across a significant timeline, preferably covering an entire recurring cycle (like a year). However, with the brief snapshot of data provided, recognizing any concrete patterns or seasonality isn't feasible. The data varies irregularly, with periods of escalation followed by periods of contraction, without any discernible recurring pattern.
3. Highlights of Outliers
The data appears to have a number of minor fluctuations in value, which are ordinary for foreign exchange markets due to the continuous trading of currencies worldwide. There is no clear occurrence of a value that significantly deviates from the range covered by the rest of the data points. Therefore, no substantive outliers were observed in this particular dataset.
Based on analyzing the provided dataset:
- The overall trend of the exchange rate has seen a slight increase.
- No identifiable recurring patterns or seasonality could be observed due to the limited temporal scope of the data.
- No significant outliers were identified that deviated from the general range of variation in the exchange rate.
Please note, this analysis is based solely on the dataset provided. There may be other factors at play, including market opening/closing hours, weekends/holidays, and the release of key financial news and reports, that might affect the exchange rate, which has not been considered in this analysis.