2024-05-09 Czech Koruna News
2024-05-08
Summary of Yesterday
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
Result of Time Series Data Analysis
Upon initial observation of the data, it seems like it consists of time series data for the exchange rate of a particular currency pair with timestamps marked in 5-minute intervals.
Overall Trend
Through a broad overview of the data, the general trend of the exchange rate seems to remain relatively stable with a slight oscillation. There is no significant increase or decrease trend over the provided timestamp, suggesting stability in the market being observed.
Seasonality and Recurring Patterns
It's hard to derive seasonality or recurring patterns based on the given data without further complex statistical analysis. However, it can be seen that there are minor fluctuations across the data but no apparent cyclical pattern was noticed in this short timeframe.
Outliers
Due to the stable nature of the dataset, no evident outliers can be identified just by observing the data. For a more accurate assessment, advanced statistical methods such as Z-Scores could be used to identify if there are any instances where the exchange rate varies significantly from the average.
In a comprehensive analysis like this, it's always important to consider external events and factors that can affect the market condition such as market opening/closing hours, holidays, weekends, the release of essential financial reports, and key financial news. However, as per the instructions, such external factors were not included in this analysis.
To sum up, the analysis of this time-series data suggests a general stability in the exchange rates throughout the provided timestamp. However, for more effective and in-depth results, it's recommended to use statistical analysis techniques along with considering the impact of exogenous factors.