2024-05-03 Pa Anga News
2024-05-02
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Understanding the overall trend of the exchange rates
Firstly, as we look at this data, we can see slight fluctuations in the exchange rate throughout the day suggesting a volatile market. The start exchange rate on 2024-05-02 00:00:02 is 0.57526 and the end rate on 2024-05-02 23:55:02 is 0.57429. While there are oscillations in between, they don't deviate too much from the initial value. Overall, the rate has been fluctuating around the 0.57 mark indicating a rather stable market.
Identifying any seasonality or recurring patterns in the changes of exchange rates
The data presented doesn't provide an extended time frame, only covering one day of exchange rates. Therefore, it's not feasible to derive any seasonal patterns or repeatable trends in the data. To identify seasonal patterns generally requires a minimum of two cycles of data (i.e., two years if looking for annual seasonality). However, by visually parsing the data, some hourly patterns can be seen. The rate seems to decrease and increase slightly throughout the day, but no strong or consistent hourly cycle can be identified.
Noting any outliers or instances where the exchange rate differs significantly from what would be expected
In this day's data, there are no significant spikes or drops indicating no outliers present. The fluctuation range mostly lies between 0.574-0.5755 for this specific day of trading which is a relatively tight range. The highest rate observed is 0.57540 while the lowest is 0.57257 which is not an extreme variation.
Takeaway
The exchange rate for this particular day has shown a stable and slightly decreasing trend with no unexpected outliers. The rates have remained consistent, suggesting a relatively stable financial market for this period. However, for any comprehensive interpretation and forecasting, we would require a longer timeframe of data.