Japanese Yen Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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  • Trend

    Overall Trend of the Exchange Rates

    After examining the provided timestamps and corresponding exchange rates in USD, the overall trend indicates a slight decline in the value over time. Every initial data point in the series starts with a value of 0.00911 and it sees a minor increase at the beginning moving to 0.00912, maintaining this level for a significant amount of time. It fluctuates slightly between 0.00912 and 0.00911 during early observations. As time progresses, post a certain point, the trend shows a decrease in increments moving from 0.00912 to 0.0091, followed by a brief fluctuation at 0.00911, then gradual decrease to 0.00909, 0.00908, and further ending on 0.00908. This depicts a slow decreasing trend over the time period given.

    Seasonality or Recurring Patterns

    With the respect to the seasonality or any recurring patterns, it's hard to identify any specific pattern as such from the given data subset. Nonetheless, there appears to be slight variation between 0.00911 - 0.00912 and 0.00908 - 0.0091 towards the later time period. This could imply some sort of pattern where at certain times, the exchange rate sees a small initial rise then a slow decrease over time. However, to ascertain a concrete pattern, the availability of granular data, spread over larger time series is essential.

    Outliers in the Exchange Rates

    Regarding outliers, given the typically very small fluctuation in exchange rates, there doesn't seem to be any glaring outliers in this data set. However, considering the slight trend of decrease, any sudden increase in value would be considered an outlier. In this context, the small rise observed at the start where the value moves from 0.00911 to 0.00912 might be considered as an outlier but it's not a significant variation and still falls within the expected behavior of exchange rates. Since, during the data period, the rate of exchange marginally declined, a sudden or significant increase or decrease would have been a clear outlier but no such thing is observable in the given time-series set.

Summary of Yesterday

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  • Difference of Daily High & Low:

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    The data you provided has been analysed and the generated output is as follows:

    Overall Trend

    Based on the given data of USD exchange rates, it is observed that the value has shown minimal fluctuation. The rate started at 0.00915 and ended at 0.00911 indicating a small decrease over the time period. There is also slight periodic oscillation between 0.00915 and 0.00912 observed throughout the data.

    Seasonality or Recurring Patterns

    No strong seasonality or recurring patterns can be clearly observed from the provided data. The exchange rate appears to be fairly stable with minor fluctuations throughout the provided timestamps.

    Outliers

    No significant outliers are found in the provided time period. The fluctuations in the exchange rate were minimal and did not deviate significantly from the average. Thus, it appears to be consistent data without any outliers.

Summary of Yesterday

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Statistical Measures

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  • Trend

    1. Understanding the Overall Trend

    From the given dataset, it appears that the exchange rates have overall shown an increase in this specified time period. The USD exchange rate started at 0.00917 and ended at 0.00915, but within the time frame, we notice that the rate went as high as 0.00918. Despite showing minor fluctuations, you see a general upward movement in the exchange rates.

    2. Recurring Patterns and Seasonality

    Given the fact that the data is not over an extended period of time (several years), it's impossible to identify any clear seasonality or recurring patterns. A more extended dataset, covering all four seasons and multiple years, would be required to accurately determine any annual or seasonal exchange rate patterns. To find patterns on a shorter term, we would need more specific data broken down to hours within a day or days within a week.

    3. Outliers

    An examination of the data does not reveal any notable outliers, given the small range of the figures. The exchange rates never swung beyond 0.00910-0.00918 at any point during the period analyzed, with the majority of the rates falling around 0.00916. An in-depth statistical analysis could provide more precise information about potential outliers, but from a brief visual inspection, there doesn't appear to be any clear aberrations.

    Note that all these observations can be influenced by numerous factors, including external factors such as financial news, macroeconomic indicators, political instability, etc. It is also important to mention that the patterns observed here may not necessarily replicate in the future due to the very dynamic nature of global exchange rates.

Summary of Yesterday

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Statistical Measures

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  • Trend

Summary of Last Month

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Statistical Measures

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Summary of Last Week

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Statistical Measures

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Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    1. Overall Trend Analysis

    Upon observing the time series data over the specified period, the exchange rates mostly range between 0.00908 and 0.00941. While there are fluctuations within this range, there doesn't appear to be a discernible or consistent linear increase or decrease trend over the entire duration. However, we can observe certain periods where there are minor increases or decreases in the exchange rate value, but such flux appear to be temporal and don't establish a convincing long-term trend. Therefore, it can be concluded that the exchange rates generally remain stable throughout.

    2. Seasonality and Recurring Patterns

    Analysing time series data for seasonality or recurring patterns would typically necessitate a larger data set which spans over multiple quarters or years. Comprehending patterns require the view and understanding of how the exchange rate reacts to an entire year's seasonality like quarterly financial closures, economic policy changes, broad market trends, etc. As the data provided covers a short period of less than 1 month, explicitly deriving seasonality and recurring patterns isn't feasible. However, within this limited span, we do notice some intraday variability indicating possible influences of market opening and closing hours.

    3. Outliers Analysis

    Outlier analysis in this context refers to the sporadic spikes and drops in the exchange rate that don't align with the overall observed pattern or trend. Having stated that the rates are relatively stable within a specific range, we would expect only minor fluctuations around this range. Observing the data, there are no instances where the exchange rate diverges significantly from this range, and thus, no clear outliers are identified within this time frame.

    Overall, while there are minor fluctuations, the exchange rate appears to be relatively stable in the provided data set, with no clear long-term trend, no identifiably strong patterns/recurrences and no significant outliers. This analysis is based purely on the provided numerical time series data and without consideration of any possible influential factors such as market conditions, economic policies, financial news, etc.