2024-04-16 Yen News
2024-04-15
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall Trend Analysis
From the time-series data provided, it can be observed that the exchange rate (JPY) has been relatively stable throughout the given time-period. The rate experiences slight fluctuations but generally tends to hover around the same value of 0.00894. There are no visible significant trends of increasing or decreasing exchange rates.
Seasonality or Recurring Patterns
As for seasonality and recurring patterns, the data presented does not show clear evidence of any. The exchange rates remains relatively stable and consistent throughout multiple times of the day. Without more data extending to weeks, months, or seasons, it is hard to confidently identify any recurring patterns in this short span of time-series data.
Outliers Analysis
The data does not seem to contain any obvious outliers where the exchange rate differs significantly from its usual value. The values fluctuate slightly but remain very close to the mean value of approximately 0.00894.
Notes
- The data provided is for a short period, which can limit the ability to identify long-term trends, seasonality, or significant fluctuations relating to specific events or news announcements.
- The observation of the JPY exchange rate being stable could be due to the time period selection, including during hours where trade volumes could be light, and no significant financial events took place.
- Despite some micro-fluctuations in the exchange rate, the overall change in exchange rate over this period is minimal, reflecting a somewhat stable relationship during this measured timeframe.
- To gain a deeper understanding of the trend, further analysis could involve a more extended time frame spanning multiple months or years, looking at different time periods (e.g., seasons, fiscal quarters), and incorporating other potentially influential factors like news events or changes in economic policy.