Kuna Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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  • Difference of Daily High & Low:

Statistical Measures

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  • Trend

    From the data provided, all the exchange rates (HRK) are 0 at different timestamps. In this situation, it's impossible to provide a detailed analysis because the rates don't change. They remain constant (0), and there is no seasonality, outliers, or any trend. However, under typical circumstances, here is a basic idea of how the analysis would look.

    1. Understanding the overall trend of the exchange rates

    In an actual dataset, to analyze the overall trend of exchange rates, we would typically plot the exchange rates against the timestamp. This would show if the rates generally increase, decrease, or remain stable over the period.

    2. Identifying Seasonality

    Seasonality or recurring patterns in the changes of exchange rates can be identified by observing the plot. Seasonal patterns could be hourly, daily, weekly, or even monthly, and they appear as repetitive swings or cycles in the trend.

    3. Identifying Outliers

    Outliers or instances, where the exchange rate differs significantly from what would be expected based on the trend or seasonality, can be spotted visually from the time series plot or with the help of statistical tests.

    In reality, the financial market is affected by numerous factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. However, as per your requirement, these factors were not taken into account.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Sorry for the confusion, but the provided dataset includes only time values (timestamps) without any associated rate (HRK) data. All values after the dates are 0. For a comprehensive analysis of a dataset related to HRK exchange rates, I will need a dataset including the actual HRK exchange rates correlated with each timestamp. Please provide a valid dataset with associated HRK values for each timestamp.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

Summary of Last Month

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Statistical Measures

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    Data Analysis

    The dataset provided does not have any values in the HRK column; all entries in that column are 0. Therefore, it's impossible to conduct a comprehensive financial analysis or identify trends, seasonality, or outliers in the exchange rate. A proper dataset, with variable entries in the HRK exchange rate column, would be needed to conduct a valid financial time-series analysis.

    Understanding the Overall Trend of the Exchange Rates

    As noted above, all entries in the exchange rate column are equal to 0. On the face of it, this would suggest that the exchange rate remains stable throughout the recorded period. However, this is likely a sign that the dataset is incomplete or improperly recorded, as exchange rates generally fluctuate over time due to a range of economic factors.

    Identifying Seasonality or Recurring Patterns

    The absence of variation in the HRK exchange rate column also means that no seasonality or recurring patterns can be identified from this dataset. Analyzing seasonality typically involves identifying consistent peaks and troughs over a regular period, such as daily or monthly. Without any changes in exchange rates, it's not possible to identify any such patterns.

    Noting any Outliers

    Similarly, all entries being 0 means there are no identifiable outliers in this dataset. An outlier in a dataset is a data point that significantly differs from the others. With no variation among the data points in the HRK exchange rate column, no outliers can be noted.

    Conclusion

    To conduct a valid and useful financial analysis, we would at least need a dataset with a range of different values for the exchange rates. This would allow us to identify trends, patterns, and outliers that could help predict future changes in the rates. Given that the current dataset does not provide this, it would be advisable to check the data gathering process to ensure it is working as expected, and to collect a new, complete dataset if necessary.

Summary of Last Week

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  • Difference of Daily High & Low:

Statistical Measures

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  • Trend

    I apologize but without knowing the HRK exchange rate for each timestamp, I cannot conduct a comprehensive analysis. You've only shared the timestamps in the dataset, without corresponding exchange rates. As a financial analyst, I need both the timestamps and the exchange rates to interpret trends, seasonalities, and outliers. However, once you provide this missing data, I can proceed with the task. For your case, we could provide: 1. An overview of the general trend of the currency. 2. Details on any patterns or seasonalities that can be spotted. 3. Mention of any outliers present and what could potentially have caused them. To get a full and comprehensive understanding of any time-series data, these steps are essential. However, it's important to note that without considering external factors like market circumstances, predictions about financial data can be less reliable. Events such as market opening/closing, weekends/holidays, and releasing of key financial news and reports significantly influence the market. These factors usually contribute to spikes and falls, knowing about them helps in understanding how and why the market moves. Even if the task doesn't include forecasting, knowing these external factors can help explain the data better. Again, to conduct and deliver a comprehensive analysis as requested, I need complete time-series financial data including both timestamps and exchange rates. Thank you.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    I believe there is a misunderstanding. The dataset provided is a collection of timestamps without any change in the values of the exchange rate (HRK), as all of them are 0. Therefore, no meaningful trends, seasonality, outliers, or any analysis can be derived from the dataset. Kindly, please verify the dataset and provide the correct version.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    With the given data provided in the question and without any corresponding HRK exchange rates, it is impossible to make a proper analysis. The HRK exchange rates provided in the data are all zero, which cannot contribute to a meaningful financial data analysis as there is no variability or discemible trend in the data. To make a comprehensive and meaningful analysis, we would need a detailed dataset with variable HRK exchange rates over different periods of time. This way, the data analysis can reveal meaningful trends, patterns and periodic variations that can be interpreted to understand the overall behavior of the HRK exchange rate within the specific time frame covered by the data. Once we have proper and detailed dataset, we can then perform the financial analysis as required and provide the results enclosed in the mentioned HTML tags. As it stands, it is impossible to derive any useful information from the provided dataset. Hence, we need a good dataset to proceed with the task. Please provide a proper dataset with variable HRK exchange rates to make an effective analysis.