2024-05-13 Lari News
2024-05-12
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
Inspection of the input data indicates that the exchange rates have a generally increasing trend over the provided period. Starting from an exchange rate of 0.51196 on 2024-04-12 02:00:02, we notice a gradual increase till they peak at a rate of 0.51987 on 2024-04-16 16:00:02. Rates drop and then rise again, peaking at 0.51967 on 2024-04-16 20:00:02. However, after this, rates steadily fall, reaching a low of 0.50949 on 2024-04-25 02:00:02. From then on, rates fluctuate around a similar level till they start rising again towards the end of the data series.
2. Identifying Seasonality or Recurring Patterns
Identifying seasonality or recurring patterns in time series data requires in-depth statistical analysis, which cannot be done accurately by simply analyzing the given data strings. Nonetheless, a visual inspection suggests that there might be a daily rhythm, where rates tend to increase during specific hours of the day. Yet, there does not seem to be very clear weekly, monthly or yearly patterns from the available data. Further analysis with the necessary domain knowledge and quantitative tools are recommended for accurate seasonality detection.
3. Outliers in the Dataset
There seem to be a few instances where the exchange rates have experienced sudden increases or decreases. A notable high occurred on 2024-04-16 16:00:02 with an exchange rate of 0.51987. On the other hand, compelling lows are seen on 2024-04-25 02:00:02 and 2024-04-29 16:00:03 with rates of 0.50949 and 0.50879 respectively. These may indicate outliers or specific moments of exchange rate fluctuation that deviate from the general increasing trend of the data. These outliers may be due to a multitude of factors – market changes, economic events, etc., and would require more data for accurate interpretation.