2024-04-24 Saint Helena 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
Before starting the analysis, let's first understand that time series analysis is a statistical concept that deals with time-based data. When a sample of data points taken at successive, regular intervals over time, it forms a time series. In this case, the dataset provided contains timestamps and corresponding SHP (I assume this refers to some form of financial exchange rate) values.
1. Overall trend of the exchange rates
From a comprehensive look at the dataset, it sounds that there is a general trend where the SHP exchange rate tends to increase gradually over time. Starting from a rate of around 1.08421 on 2024-04-23 00:00:02, the exchange rate reached a peak around 1.08541 on 2024-04-23 04:55:02, after which it began to decline slowly and fluctuated around the 1.081-1.082 mark for the later part of the dataset.
2. Seasonality or recurring patterns
Identifying a specific repeating, or seasonal, pattern in this dataset is challenging due to the nature of financial markets where rates fluctuate based on a multitude of factors. However, some minor cyclic behavior can still be observed. For instance, you might notice that the exchange rate often increases in the early hours (around 4:00 - 6:00), after which it tends to decrease and oscillate around a more stable value throughout the rest of the day. This micro-trend repeats multiple times throughout the dataset. However, determining whether this pattern is just random or indeed has a meaningful financial implication would need a more elaborate analysis.
3. Outliers in the dataset
Outliers in a financial time-series dataset could mean sudden spikes or drops in the exchange rate. A notable point of data that might be considered an outlier occurs at timestamp 2024-04-23 09:05:02, where the SHP exchange rate suddenly drops to around 1.08184, then further down to 1.08129 at 2024-04-23 09:45:03, both of which are significantly lower than the surrounding data points.
Please note that the above assessment and findings are based entirely on the numerical data and trend observed within this dataset, without considering external market conditions or financial events that can significantly impact exchange rates.
