2024-05-10 Lari News
2024-05-09
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 of the Exchange Rates
Considering the data provided, an initial observation suggests that the exchange rate has generally fluctuated within a fairly small range. The rate started at approximately 0.51314 as of the timestamp '2024-05-09 00:00:02' and by '2024-05-09 23:55:02,' it appeared to be at around 0.51172. While slight increases and decreases are present through this time period, no persistent upward or downward overall trend is immediately evident. These observations may suggest a degree of stability in exchange rates over the observed period.
Seasonality or Recurring Patterns
In a granular view, it is difficult to identify clear patterns of seasonality over the course of a single day, especially without prior knowledge or expectations of such behavior in this market. However, there are several instances where the exchange rate fluctuates, rising and descending in apparent cycles. But for concluding any seasonality or recurring patterns, it would require comprehensive statistical analysis or more extensive data including additional complete cycles of the suspected behavior.
Outliers
At initial glance, no particular outliers significantly varying from the general exchange rate trend are immediately noticeable in the provided data set. Although, precise identification of outliers would require statistical analysis for which methods like IQR (Interquartile Range), Z-Score, and the modified Z-Score could be used with a predefined threshold. Any rate that significantly deviates from the mean could then be defined as an outlier.
In conclusion, the exchange rates provided within this dataset demonstrates a certain degree of variability over the course of one day, within a relatively small range. There aren't immediately discernible patterns of a distinct general trend, clear-cut seasonality, nor evident outliers. However, for a more accurate and exact understanding, a deeper and more detailed statistical analysis of the data will be essential.