2024-04-30 Gourde News
2024-04-29
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
Analysis Introduction
The exchange rate (HTG) dataset you provided comes in the format of time series, with data points recorded at sequential time stamps. This format of data can provide insights about the trend, seasonality, and potential outliers in the financial factor being examined, which is the exchange rate (htg) in this case.
Overall Trend Analysis
The general trend observed in the exchange rate (HTG) over the period presented in this dataset primarily includes minor fluctuations. It starts from an exchange rate of 0.01028 and ends at the rate of 0.01032, experiencing a slight increase. Thus, the trend is predominantly stable with a very slight increase in the value of the exchange rate.
Seasonality or Recurring Patterns
Given the granularity of this time-series dataset where data points were taken every few minutes, within the time frame of this dataset, any distinctive seasonality or recurring pattern within the daily data is not apparent. This lack of clear pattern might be due to the short-term nature of the data collection intervals. For more accurate seasonality detection, longer intervals like monthly or yearly recordings might be needed. So, on the basis of this dataset, we cannot confirm any specific recurring pattern or seasonality trend.
Outliers Identification
There are no prominent outliers in the data. All the rate changes are of very minor nature, and no significant sudden increase or decrease in the rate that would distinguish a data point as an outlier is seen. The exchange rate remains fairly consistent, ranging between 0.01028 and 0.01032, never deviating significantly from these values within the given period.
Conclusion
In conclusion, the overall trend in the exchange rate over the time period in this dataset is generally stable with a slight upwards trend. Seasonal patterns could not be identified due to the short duration of intervals between data values, and there are no significant outliers within this dataset.