2024-05-09 Philippine Peso News
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Overall trend of the exchange rates
Throughout the provided dataset, the exchange rate (PHP) appears to be quite stable. This is evidenced by the relatively small interval of fluctuation observed in the data. For majority of the time, the PHP exchange rate stays between 0.0239 and 0.02398. This trend indicates a stable market situation. Therefore, from a temporal perspective, no drastic depreciation or appreciation of the PHP exchange rate can be inferred for the given time period.
Seasonality or recurring patterns in the rates
At first glance, there does not seem to be a clear recurring pattern in the PHP exchange rates for the time period in the supplied data, mostly due to the minute-to-minute timestamp granularity. Further analysis and a larger dataset would possibly be required to ascertain whether there are any daily or hourly patterns to the fluctuation of the currency. However, this would fall into foreseeing the future rates, which is out of the scope.
Outliers in the data
From a cursory observation, the exchange rate data presented little variation often oscillating within 0.00005 units. Consequently, there doesn't appear to be any notable outliers, or instances where the exchange rate differs significantly from its neighbouring values in the given data sequence. Any potential deviations or fluctuations, likely nominal, are likely indicative of standard exchange rate movement in response to minute-to-minute market activities.
Ideas for Further Analysis
Given a broader temporal context or available external factors such as market timings, financial news, holidays, etc., more dynamic or varying interpretations of this financial time-series data can be conducted. Methods of analysis could encompass deeper trend inspection, external factor correlation, more precise pattern or seasonality analysis, volatility study, etc. However, these factors are not to be implemented as per the given instruction.