2024-05-03 Philippine Peso 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
Data Analysis: Overview
The data appears to show the fluctuation in the exchange rate of an unknown currency against PHP (Philippine Peso) from May 2, 2024 from midnight to near midnight. The exchange rate varies incrementally between the value of 0.02377 and 0.02386 within this time span.
1. Overall Trend
The overall trend of the data set does not indicate a significant change in the exchange rate of the PHP across the day. The data set stays mostly within 0.02377 and 0.02386, with the value fluctuating minimally across a 24 hour period. This suggests the rate has been relatively stable over this time period. There are no clear patterns that indicate a sustained increase or decrease in the exchange rate value during this specific day.
2. Seasonality/Trends
At the granularity of the data given, there doesn't seem to be any clear seasonality or recurring patterns for the given 24 hour period. Seasonality is best noted with larger, more long-term datasets encompassing at least an annual trend. With a single day's worth of time series data, it is not sufficient to assess daily patterns as it might not be representative of general behavior.
3. Outliers
Over the course of the day, the exchange rate briefly spiked at 18:15:01 with a rate of 0.02382, and dropped to its lowest at 22:55:02 with a rate of 0.02377. Despite these, the changes are not substantial enough to be considered significant outliers as they fall within the range of the dataset's fluctuation. Also, these fluctuations are not surprising considering the volatile nature of currency exchange rates. Without additional context or detailed analysis, these outliers are normal in such type of data.
Note: It's important to have more data across a larger time span (months or years) to be able to make more accurate trend predictions, detect seasonality, and identify significant outliers. As such, the analysis provided is based solely on a single day’s worth of data, which may not be representative of the currency pair’s overall behavior.