2024-05-07 Chilean Peso News
2024-05-06
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 of CLP Exchange Rate Data
The dataset provided is a time series data of the CLP exchange rate, captured at regular intervals from the 6th of May 2024 spanning a 24-hour period. Below, I provide an analysis of the data given the objectives stipulated.
1. Overall Trend of Exchange Rates
The data set shows a very stable trend in the exchange rate for most part of the day. For the most part, from the start timestamp (2024-05-06 00:00:02) through to about 06:25:02, the exchange rate remains constant at 0.00145. The exchange rate then slightly increased to 0.00146 where it remained stable through to about 13:20:03 after which it increased slightly once more to 0.00147. This rate remained till the end of the provided dataset's timestamp. This indicates an overall increasing trend in exchange rates over the 24-hour period.
2. Seasonality or Recurring Patterns in Exchange Rates
Given the scope of the available data which spans roughly a 24-hour period, it is not very feasible to identify any recurring patterns or seasonality in exchange rates. Examination of such traits generally requires long-term data covering multiple cycles (typically months or years). However, within this limited dataset, it can be observed that the data changes slightly after about every 6 hours. This could be considered as a pattern within this particular 24-hour period.
3. Outliers in the Exchange Rates
As all the data provided seems to be fluctuating in a minor range between 0.00145 and 0.00147, there are no observable outliers or instances where the exchange rate differs significantly from what would be expected based on the trend for this period.
In conclusion, within the limited scope of the provided 24-hour data, the CLP exchange rate can be seen to exhibit an upward trend with minor fluctuations after approximately every 6 hours. More detailed and long-term data would however be required to determine a definitive trend, seasonality or the presence of any outliers.