2024-05-16 Costa Rican Colon News
2024-05-15
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Comprehensive Analysis of the CRC Exchange Rate Dataset
The dataset provided is a time series data for the exchange rate of CRC at different timestamps spanning across 24 hours of a specific date, 15 May 2024. The timestamps are indicated in a 24-hour format and the exchange rates are specified up to five decimal places for precision.
1. Understanding the Overall Trend
The data provided is for a single day; hence, it's challenging to ascertain long-term trends. However, within this 24-hours window, the exchange rates of CRC are relatively stable. The CRC exchange rate started at a value of 0.00267 and ended at the same value. Minor fluctuations between 0.00267 and 0.00265 were observed during the day, implying a minor decline and a subsequent recovery towards the end of the day. Thus, within this one-day period, the exchange rate exhibited a generally stable pattern with slight volatility.
2. Seasonality and Recurring Patterns
The data across this 24-hours period seems to not distinctly show any evidence of recurring patterns or seasonality in terms of rate changes. Nonetheless, it's key to remember that seasonality often emerges from data spanning across longer time spans such as months or years. Therefore, it would be more appropriate to assess seasonality with data across a longer timeframe.
3. Outliers and Significant Instances
Throughout this 24-hour period, no significant outliers or drastic rate changes were observed. The CRC exchange rate lingered between 0.00265 and 0.00267, denoting that changes in rates were minimal and no significant divergence from the general trend was observed.
For an in-depth understanding of exchange rate behavior—such as identifying trends, seasonality, and outliers—a more extensive dataset over a longer period would be more beneficial. This will help in capturing daily, weekly, monthly, or even yearly patterns, marking market opening/closing impacts, weekends/holidays effects, and impacts from major financial news or events.