2024-04-24 Syrian Pound News
2024-04-23
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Based on the provided data, I have conducted a comprehensive analysis focusing on the overall trend, seasonality, and outliers in the exchange rates (SYP) over the timestamps given.1. Understanding the Overall Trend of the Exchange Rates
Upon observing the SYP exchange rate across the specified timestamps, the overall trend seems substantially stable. The rate begins at 0.00055 at the start timestamp (2024-04-23 00:00:02) and remains the same until the timestamp 2024-04-23 02:35:02, where there is a slight decrease to 0.00054. However, it quickly returns to 0.00055. After the timestamp 2024-04-23 09:05:02, the rate again drops to 0.00054 and remains the same until the end of the given timestamps. Overall, there are no significant increases or decreases, hence the trend can be considered stable with only a minor fluctuation.
2. Identifying Seasonality or Recurring Patterns in the Exchange Rates
Given the absence of drastic fluctuations in the exchange rate throughout the data, it is challenging to identify any clear seasonality or recurring patterns. There are no observable periods where there is a systematic and predictable change in the exchange rate that would simplify forecasting. Therefore, the dataset appears to display no considerable seasonality or recurring patterns within the given timeframe.
3. Noting any Outliers in the Exchange Rates
In the scope of this dataset, there don't appear to be any instances of outliers, or "odd" data points that deviate dramatically from the others. This is because the exchange rate predominantly remains the same with only a minor fluctuation two times (at 2024-04-23 02:35:02 and at 2024-04-23 09:05:02). The change in these instances is very minimal, reducing from 0.00055 to 0.00054, and doesn’t represent a significant deviation from the trend. As such, these instances can be considered as part of the overall dataset pattern rather than being outliers.
However, it's crucial to remember that financial data can be affected by a myriad of factors - including market trends, geopolitical events, and economic indicators - that are not accounted for in this analysis. Therefore, this analysis provides an overview based on the provided dataset and does not predict future trends or elucidate the reasons behind the observed pattern.