Slight Margin Increases in SZL Exchange Rate Steadily Rising
2024-05-09
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Analysis Results
Upon careful examination of the dataset, we find that the exchange rates have shown some interesting trends, seasonality, and outliers. Following is the comprehensive analysis of the data:
1. Overall Trend
The overall trend of the exchange rate (SZL) is relatively flat, with the rates staying within a small range of 0.0736 and 0.0743 for the most part. This suggests a stable exchange market condition, with no major depreciation or appreciation observed during the period. A few increases and decreases can be observed, but the changes are minor and the exchange rate tends to return to this stable range.
2. Seasonality / Recurring Patterns
Looking at the data pattern, it's not immediately clear if there's a noticeable seasonality or recurring pattern on a daily level. The exchange rate fluctuates within the aforementioned narrow range, showing no clear cyclic behavior that could indicate a daily or specific temporal pattern. It would require further time-series decomposition analysis to confirm the absence of seasonality.
3. Outliers
Two main outliers can be noticed towards the end of the given period where the rate increased significantly to about 0.0742 point. This abrupt increase stands out from the general trend of stability. However, after these peaks, rates quickly returned to the usual range, suggesting that these might have been temporary spikes.
In conclusion, while the provided dataset shows stability in exchange rates with few exceptions, more in-depth analysis and larger datasets are recommended for a more holistic understanding of the market. Also, although external factors like market timings, weekends, holidays, and key financial news were not considered in this analysis, they often have a significant effect on exchange rates and should be considered in a more detailed and predictive analysis.
