Euro Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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

Statistical Measures

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  • Standard Deviation:
  • Trend

    Analysis Result:

    The following is the comprehensive analysis of the dataset provided:

    Overall Trend:

    The overall trend in the exchange rates appears to be somewhat stable with minor increases and decreases. The values seem to fluctuate between 1.46625 (the lowest value) and 1.47462 (the highest value), without making large jumps or drops within the time period given. This implies there is no stable increase or decrease trend; instead, the exchange rates tended to vacillate in a narrow range.

    Seasonality or Recurring Patterns:

    As per the information available for the given time period, identifying clear seasonality or recurring patterns in the exchange rates is a challenging task. We would generally need a broader timeframe to find daily, weekly, or annual seasonality patterns. However, there is no discernible or recurring pattern in the provided data in the five-minute intervals.

    Outliers:

    Looking at the provided dataset, no glaring outliers are directly evident from the five-minute interval data points. None of the rates provided demonstrate a significant deviation or unexpected values from the general range of fluctuation (between 1.46625 and 1.47462). However, a more detailed statistical analysis may be needed to pinpoint any subtle outliers with extremely high or low values that are not obviously visible.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    1. Understanding the overall trend of the exchange rates.

    Looking at the given dataset for EUR exchange, there seems to be a slight increase in exchange rates from 1.46681 at the start of the day to 1.47075 at the end of the day. This suggests that the exchange rate for EUR has slightly appreciated over this 24 hours period.

    2. Identifying any seasonality or recurring patterns in the changes of exchange rates.

    Please note that this analysis assumes the given dataset is representative of a typical day and not a special case influenced by external events. Because a single day (24 hours) data is given, it's difficult to determine any seasonality or recurring patterns definitively. However, there seems to be slight peaks and troughs at regular intervals, suggesting frequent minor fluctuations in the rate throughout the day. For in-depth analysis, it would be beneficial to consider a larger dataset covering multiple days, weeks, or months to establish robust patterns or seasonality.

    3. Noting any outliers, or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality.

    From an initial review of the data, there appear to be no significant outliers. The rate largely remains within a tight range of 1.46 to 1.47 for the entire day, and no single data point deviate significantly from this range. However, please note that analysis of outliers might require a more advanced statistical tests and a bigger dataset to determine what constitutes a significant deviation.

    To summarize, this 24 hours trend highlights minor fluctuations with a slight appreciation in the EUR exchange rate. Noticeable outliers or a clear seasonal pattern have not been identified at this stage, and would require a more extended dataset for further investigation.

Summary of Yesterday

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  • Difference of Opening & Closing:
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  • 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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  • Trend

    Overall Trend

    Using the provided data, we can observe that the exchange rate tends to fluctuate, albeit within a relatively tight range. While there are periods of both growth and decline, there is no clear and consistent overall direction for the rates over the period covered by the data.

    Seasonality or Recurring Patterns

    There appear to be no clearly defined seasonal or recurrent patterns in the data. The exchange rate fluctuates but doesn't show a consistent pattern at any specific time or on any specific days. This could possibly indicate that the rate changes are more dependent on real-time events and external factors beyond the parameters of this dataset.

    Outliers

    Overall, there don't appear to be significant outliers in the data, as the exchange rate remains within a relatively tight range. However, the given data set is limited and detailed statistical analysis would be needed to definitively detect and quantify outliers.

Summary of Last Week

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Statistical Measures

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  • Trend

    Overall Trend Analysis

    The data reflects changes in exchange rates specifically for EUR from January 26, 2024, to February 23, 2024. To evaluate the overall trend of these exchange rates, the start and end points, as well as the progression of rates over time, were considered. The EUR rates began at 1.45781, went as high as 1.46241 and ended the period at 1.46113. Even though minor fluctuations are observed throughout, the rates generally tend to slightly increase over the observed period.

    Seasonality and Recurring Patterns

    With the data only spanning less than a month, the establishment of seasonality or recurring patterns becomes slightly challenging. However, one may observe a sort of daily fluctuation pattern, which can potentially indicate intra-day volatility. This pattern roughly appears to be a result of typical forex market dynamics, rather than any established seasonality. Due to the short period of data available, more data would be necessary to accurately establish and confirm any recurring patterns or seasonality.

    Outliers Examination

    The data provided did not seem to present any significant outliers or any unusual spikes or dips. The variations in the currency exchange rates observed can be considered regular fluctuation in the forex market. Hence, within this one-month period, the EUR exchange rate seems to follow a predictable pattern without significant unanticipated deviations.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Overall Trend Analysis

    Upon a high level examination of the data set, it is noticeable that there are fluctuations in the Euro (EUR) exchange rate over the period shown. The exchange rate starts at about 1.45343 and ends at approximately 1.46113. Despite the volatility during the intermediate hours, the overall exchange rate appears to slightly increase over the period.

    Seasonality and Recurring Patterns

    Given the limitations of the dataset, identifying seasonality or recurring patterns could be challenging. However, there are certain times where there are noticeable increments and decrements in the exchange rate, but the dataset is not sufficient to ascribe these to recurring patterns or seasonality confidently. Further, without considering external factors such as market open/close times, weekends/holidays, or important financial news, it is difficult to ascertain whether these are genuine patterns or mere coincidences.

    Outliers Identification

    The dataset seems to contain few potential outliers. For instance, the spike around 1.46330 stands out when the increase in the previous periods was rather minimal. However, without having a comprehensive understanding of the standard fluctuation ranges or the specific criterions for extreme values, it is challenging to definitively label these as outliers. This can be mitigated by performing a statistical analysis, considering the mean, standard deviation, and using techniques such as boxplots or Z-Scores to determine if these values can be categorized as outliers. However, without this additional information or context, we must err on the side of caution in identifying outliers.

    Note

    Lastly, the analysis conducted does not consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Also, this analysis does not generate any forecast for future rates, as requested. Thus, while this provides a basic understanding of the data trend, further and more detailed statistical analysis would provide a more comprehensive understanding.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Understanding the Overall Trend

    Examining the dataset from start to finish, it appears that there is a slight, general increase in the exchange rate of EUR to USD. This rise is not consistent or drastic but produces a gentle uptrend from an initial value of 1.45915 to a final value of 1.46120.

    Seasonality and Recurring Patterns

    There is no significant seasonality or recurring patterns can be identified in such a small dataset, which only spans across one day. To better detect any recurring hourly, daily, or weekly patterns, we would need a more elongated period. However, some subtle oscillations can be observed, potentially indicating intra-day trading volatility.

    Outliers Identification

    There does not appear to be any significant outliers in the given one-day dataset. The value of the exchange rate generally fluctuates moderately, without any drastic jumps or falls. Nevertheless, to more accurately identify potential outliers, more sophisticated statistical techniques or larger datasets can be examined.