2024-04-23 Isle of Man Pound News
2024-04-22
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
Let me start by breaking down the given data into understandable terms. In this case, the dataset represents a time-series analysis showing the changes in exchange rates (IMP) over a specified period of time. Each timestamp corresponds with an IMP exchange rate. Also, note that the timestamps are in 5-minute intervals.
1. Understanding the overall trend of the exchange rates
Throughout this span of time, the IMP exchange rates exhibit a fairly variable behaviour. The rates started at 1.71009 and ended at 1.70641 showing a slight decrease. There's no significant consistent rising or falling trend. The rate rises and falls multiple times, indicating a volatile market that changes often.
2. Identifying any seasonality or recurring patterns in the changes of exchange rates
Given that the data is in 5 minute intervals within the same day, it is hard to identify any specific seasonality or recurring pattern in the changes of the exchange rates. Seasonality is generally a characteristic of a time series in which the data experiences regular and predictable changes that recur every calendar year or over some other fixed period. Furthermore, the data only covers a single day, so we can't measure weekly, monthly or yearly cycles.
3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality.
There are few noticeable peak and low points in this time-series data. For instance:
- At 00:40:02 and 02:40:02, the value spiked at 1.71088 and 1.71117, respectively.
- At 13:15:03 and 13:20:03, the dataset reached a low point with values of 1.70608 and 1.70578, respectively.
However, without a more precise definition of what constitutes an 'outlier', these are identified based on significant departures from the surrounding data points.
In conclusion, the overall trend of exchange rates doesn't show any firm pattern over the day, it rather depicts the volatility common in financial markets. There are no distinctive indications of seasonality within this day's data. Several "spikes" and "dips" are noted as potential outliers based on differences from nearby points, however, this needs to be treated with caution as financial time-series data can behave this way under normal market conditions.