2024-04-29 Malaysian Ringgit News
2024-04-28
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. Overall Trend Analysis
Upon analyzing your dataset, it seems that the overall trend of exchange rates is a slight decrease. This observation is evident from the initial exchange rate of 0.28663 on 2024-03-29 02:00:02, which eventually drops to 0.28643 on 2024-04-11 14:00:03. Although there are slight rises and fluctuations along the line, the general trend seems to be a gradual decrease.
2. Seasonality Check and Patterns
Seasonality refers to the predictable change that repeats over a span of time. In this context, it exemplifies a specific change in exchange rates that recurs over the same period. However, for the data provided, it is challenging to identify apparent seasonality or recurring patterns in exchange rates changes, mainly because the data covers only a limited span, from late March to mid-April. For a clearer picture of a pattern or seasonality, data for at least a complete year or more would be beneficial. Regardless, there are minor fluctuations observed on a daily basis that may hint at daily market volatility.
3. Outliers Analysis
Outliers in a dataset represent the values that significantly deviate from the other observations. They might be due to variability in the data or could indicate experimental errors. In the provided dataset, there are no significant outliers observed. This analysis is based on the assumption that exchange rates not varying extensively within the given time interval can be considered usual for this type of time-series financial data. Although there are minor increases and decreases in exchange rates, they do not represent typical outliers.
Summary
- The overall trend of exchange rates shows a slight decrease over the period provided.
- The data does not show distinct seasonality or recurring patterns of exchange rate changes. However, minor daily fluctuations might occur.
- There are no notable outliers in this dataset. While minor rises and falls are observed, they are considered standard in this kind of financial time-series data.