2024-05-07 Convertible Mark News
2024-05-06
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
Given the extensive dataset provided, here's my analysis from a general perspective, considering only the data itself:Overall Trend of Exchange Rates
Based on the data, there is not a completely uniform direction (increase or decrease) for the BAM exchange rate within the provided timeframe. Instead, it appears to follow a pattern of smaller upward and downward movements, fluctuating within a certain range. Overall, the rate seems relatively stable, as there are no indications of extreme volatility or rapid changes in value.
Seasonality or Recurring Patterns
In terms of seasonality or recurring patterns, it's challenging to identify any clear trends within this time frame. The fluctuation in the exchange rate tends to show random walks and it does not have a predictable path. Given the data spans over several hours of a single day, which is a shorter timeframe, it's difficult to identify multi-day, weekly or monthly seasonal patterns. You might need a longer-term dataset that spans across multiple weeks, months, or even years to identify such patterns.
Outliers and Unusual Occurrences
Within this dataset, there are no significant outliers or anomalies. The exchange rate fluctuations represented appear relatively uniform and without extreme variances from the overall pattern. An outlier would be considered a value that significantly differs from the surrounding data points. Without such deviations, it can be concluded that this dataset presents a usual day of trading without extreme or unforeseen occurrences.
Please note that this analysis doesn't take into account factors such as weekends, holidays, opening and closing times of financial markets, or major financial news that could affect the exchange rates. Such factors do play a significant role in fluctuations in financial markets and can be the source of outliers or sudden shifts in trends. However, these require more specific data and domain expertise to analyze accurately. For a more robust analysis, these factors should be included if available.