Summary of Yesterday

• Opening:
• Closing:
• Difference of Opening & Closing:
• Daily High:
• Daily Low:
• Difference of Daily High & Low:

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Analysis of Time Series Data:

Upon examining the given time-series data for a specific day (16th May 2024), several insights can be deduced about the trend, seasonality, and outliers for the exchange rate (DOP).

1. Understanding the overall trend:

At the start of the day, the DOP data points are quite stable, starting with a value of 0.02345 at 00:00:02, and maintaining this value for several timestamps. Minor fluctuations begin to appear around 01:00:02, where the value moderately increases to 0.02346 and continues to incrementally increase for several timestamps. The peak value witnessed within this day is 0.02349 (timestamp: 05:35:02). Post that, from the timestamp 06:25:02 onwards, there is a noticeable drop in DOP's value to around 0.02328. The DOP steadily decreases reaching its lowest point at 0.02324 by 20:05:02. Overall, the DOP rate seems to have shown a minor increase in the earlier part of the day, followed by a steady decrease towards the latter half of the day.

2. Identifying seasonality or recurring patterns:

In the context of intra-day data changes as provided, identifying seasonality or regular patterns is slightly challenging. However, one might observe that there are minor increases in DOP value mostly happening during the earlier hours of the day, with eventual decline setting in as the day advances. No significantly prominent recurring pattern is observable from the data of this single day.

3. Outliers and extreme behaviors:

Outliers are extreme values that deviate from other observations on data. They might be caused by variability in data or errors. Upon examining the given data set, no significant outliers are clearly evident. The DOP exchange rate data for this particular day appear to fluctuate minimally and primarily within a small range of values, showcasing no significant unusual spikes or drops.

Note:

The above analysis is based on a single day's data and doesn't consider any external factors. For a more holistic and accurate understanding, it would be beneficial to analyze longer periods and consider trends in the context of external world events or financial news.