2024-05-06 Turkmenistan New Manat News
2024-05-05
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates
From the data provided, there seems to be a slight increase in exchange rates over the given time period. However, fluctuation is evident throughout. The rates initially decreased from 0.38711 on 2024-04-05 02:00:02 to 0.3868 on 2024-04-05 06:00:02, then increased to 0.38829 on 2024-04-05 14:00:01, and then gradually reached the highest point at 0.39512 on 2024-04-16 10:00:02. From then on, there is a general decreasing trend with some fluctuations, ending at 0.38992 on 2024-05-03 12:00:02. However, it is important to note that these changes are quite small and do not necessarily indicate a strong trend.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
It's challenging to detect clear patterns of seasonality or recurring patterns in the exchange rates within this dataset. The timescale provided might not be adequate for this identification. However, on a daily basis, one potential pattern could be a consistent fluctuation between high and low rates at specific hours, suggesting that the exchange rate could potentially be influenced by daily trading activities. Hence, further analysis over a longer period may reveal clearer patterns or recurrences.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality
Outliers in this dataset are not significantly noticeable as the exchange rate changes fall within a relatively close range. However, a few instances of relatively significant change do occur, such as between 2024-04-10 06:00:02 (0.38737) and 2024-04-10 08:00:03 (0.38995), or 2024-04-29 16:00:03 (0.3892) to 2024-04-30 08:00:04 (0.39129). These instances might be due to factors outside of regularly occurring events and routine market fluctuations. Noteworthy is the absence of any extreme outliers that may potentially skew the analysis.