2024-05-13 Dalasi News
2024-05-12
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Data Analysis
The data provided is time series data spread over a month and few days (from 12th April to 10th May) consisting of exchange rates (GMD) at specific time intervals. Here's a detailed analysis of the trends and patterns seen in this data.
1. Overall Trend
The values of the variable show a fluctuating trend. There's not an extremely clear cut trend of increasing or decreasing in the data over this specific time period. Initially, the exchange rates showed a very slight increase from the start date of 12th April with a value of 0.02021 to a peak on 16th April (0.02039) and then gradually decreased until the end but with variance peridically. If the time period could be extended, a clearer picture could be drawn.
2. Seasonality or recurring patterns
Given the time frame of approximately one month, there is not a clear-cut evidence of seasonality within this data. With daily data, we could theorize elements of intraday seasonality wherein certain hours of the day could show higher exchange rates compared to others. Such patterns, if present, would be clearer with larger dataset covering multiple months to years.
3. Outliers
There are no obvious outliers in the data over our time frame of approximately one month. However, we do observe that the values do deviate slightly at certain points, but generally within a close range. Again, a larger timeframe depiction of the data could bring to light potential outliers more effectively.