Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

1. Understanding the overall trend of the exchange rates

From the dataset provided, it can be observed that the exchange rates demonstrate a somewhat stable pattern with minor fluctuations. The rates start at 0.1375 and end at 0.13742 over the given period, implying a slight decrease overall. Nevertheless, in between, these numbers exhibit frequent ups and downs suggesting fluctuations in the exchange rate within this narrow range.

2. Identifying Seasonality or Recurring Patterns

Since the dataset provided spans a single day from midnight to midnight, any evidence of seasonality or recurring patterns within a day would require additional days of data to verify. However, within the bounds of this data, no clear short-term, intraday seasonality or recurring patterns can be discerned. As mentioned earlier, there is a general tendency to slightly decrease, but no clear recurring peaks or troughs can be observed within a day in this dataset.

3. Outliers

In the context of the provided dataset, there do not seem to be noticeable outlier values. All MAD exchange rates fall into a similar range, with no drastic dips or surges that would indicate an unexpectedly low or high rate compared to the general trend within the day. However, precise identification of outlier values could require more complex statistical analysis or modelling, which could provide a more definitive answer.

4. Considerations for Analysis

While we were asked not to explicitly factor in events such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, it's essential to note that such factors could indeed have considerable impacts on exchange rates in real-world conditions. This static snapshot of data may not encapsulate these effects, potentially limiting the depth of our understanding of the factors influencing these rates. Furthermore, as stated, the data provided only spans a single day, which could limit the scope of analysis in terms of understanding longer-term trends, patterns, and seasonality in the exchange rates.