Yemeni Rial Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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    Overall Trend of Exchange Rates

    From the data provided, the exchange rate appears to remain relatively stable. The exchange rate starts at 0.00542 and on a few occasions increase to 0.00543 but it most often stays at 0.00542 indicative of a nearly constant exchange rate with no dramatic increase or decrease over the period shown.

    Seasonality or Recurring Patterns

    Based on the given dataset, there is no clear depiction of seasonality, or any recurring patterns in the changes of exchange rates. The exchange rate fluctuates between 0.00542 and 0.00543, however, these fluctuations do not appear to follow any specific pattern or regularity in terms of timing. The data will need to be further analyzed, possibly with a larger dataset for any potential seasonal patterns to be detected.

    Noted Outliers

    From the information provided, there are no notable outliers in this data. An outlier would be an instance where the exchange rate significantly deviates from the established range of 0.00542 and 0.00543. As no such instances have occurred in the dataset, no outliers have thus been identified in this examination.

Summary of Yesterday

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Statistical Measures

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Summary of Yesterday

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Summary of Last Month

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    Overall Trend of the Exchange Rates

    Upon a quick scan of the data, it seems that the exchange rate mainly stays stable around 0.0054 over the provided period. There are minimal fluctuations, with slight variations to 0.00539 at certain points, but these are infrequent and the rate quickly returns to the 0.0054 mark. Hence, one could suggest that the rate is generally quite stable without any prominent increasing or decreasing trend.

    Seasonality or Recurring Patterns

    Regarding seasonality and recurring patterns, due to the relative stability of the exchange rate over the period, these are somewhat challenging to deduce. Most exchange rate changes happened within a fairly narrow band (0.00539 to 0.0054), as such no discernible regular pattern or seasonality can be identified from the given data alone against the timestamps. Further analysis over a more extended period could potentially help bring out seasonality if any.

    Outliers in the Exchange Rates

    There are no significant outliers observable in the given dataset. In the majority of the data points, the exchange rate appears to fluctuate within an exceedingly narrow range of 0.00539 to 0.0054. This slight fluctuation could be seen as normal within such financial data, and no data point deviates significantly from this set boundary.

    Note

    • Please note that these findings are relatively high-level, based purely on the numerical values presented in the dataset, and without the aid of any visualization tools that might assist in identifying trends or patterns or specific events affecting the market.
    • Moreover, this analysis is done assuming the timestamps provided in the data are in UTC, and doesn't consider factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports.

Summary of Last Week

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    General Analysis

    From the provided exchange rate data ranging from 26th January to 23rd February 2024, the YER exchange rate displays a somewhat slight fluctuation pattern rather than a clear increasing or decreasing trend. The rate seems to be mainly oscillating between 0.00534 and 0.00543

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    Trends in Exchange Rates

    The exchange rate seems to fluctuate marginally without displaying any pronounced positive or negative trend. While there are slight increases and decreases, the general trend seems to remain stable without significant deviations. This suggests a market equilibrium condition where demand for and supply of YER remains mostly unchanged over the period of our dataset

    Seasonality and Recurring Patterns

    No distinct seasonality is apparent from the provided data. Seasonality in financial markets usually depict in the form of predictable variations in exchange rates typically due to predictable changes in demand and supply at certain times of the year, or certain days of the week. However, the dataset here is perhaps too short-term (approximately one month), and a broader data set covering at least one year might be more suitable for identifying seasonal patterns.

    Outliers in the Exchange Rates

    No severe outliers or instances where the exchange rate deviates significantly from what one might expect are observable in the data. Most values lie in the 0.00535 - 0.00542 range, with an occasional dip to 0.00534 and peak to 0.00543. Any deviation from this range can potentially be considered an outlier, but these are far from extreme and still pretty close to the average level of the rates.

    Please note that this analysis does not consider external macroeconomic factors or events that could have potential impacts on the exchange rates, as per the given instructions. It is purely based on the historical data provided.

Summary of Yesterday

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Statistical Measures

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    1. Understanding the Overall Trend of Exchange Rates

    The data provided indicate that there was a slight increase in the exchange rates through over the period in scope. The rate begins at 0.00538 on 2024-02-19 01:00:02 and ends at 0.00539 on 2024-02-23 14:00:01. Though the overall trend seems to be rather stable, with very minor fluctuations, it suggests a very small upward trend.

    2. Seasonality and Recurring Patterns

    Given the time frame of the data, it's difficult to identify a strong indication of seasonality or recurring patterns at this stage of the analysis. Several days doesn't provide a deep enough scope for identifying seasonal trends or patterns which usually occur over several months or years. Nonetheless, there are fluctuations that occur regularly, yet, without external factor consideration, it is impossible to conclude as to whether these are due to seasonality or not.

    3. Noting Outliers

    The data seems to be quite consistent over time without any prominent outliers. This suggests that during the examined timeframe, the exchange rate remained relatively stable, with deviations being minimal and no significant shocks or unexpected changes occurring. This consistency in exchange rates over a period of time can be an indicator of stability in the exchange market during this period.

    Summary

    In summary, the data indicates stability in the exchange rates with a slight uptrend over the provided time span. This trend might be better observed with a more extended data set. There doesn't seem to be any noticeable seasonality or recurring patterns in the data within the given timeframe, and there were no significant outliers. This indicates a level of predictability and stability in the rates during this period.

Summary of Yesterday

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Statistical Measures

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    1. Overall Trend of Exchange Rates

    The overall trend of the exchange rates for YER from the dataset provided indicates a relative stability. The rate starts at 0.00538 at the beginning and shows minor fluctuations but anchors around the same rate by the end of the period observed (0.00539). The general trend does not indicate a notable increase or decrease.

    2. Identification of Seasonality or Recurring Patterns

    Given the limited dataset we have, there is no clear seasonality or recurring pattern in the changes of exchange rates observable in this time series. The fluctuations of the rates are small and subtle with a consistent range of 0.00538 to 0.00540. Thus, no particularly noticeable pattern can be deducted based on this data. A longer data set might be needed to identify any possible recurring patterns.

    3. Noting any Outliers

    According to the dataset, there are no obvious outliers in this period. Given the stable range of the exchange rates changes, there are no particular instances being observed where the exchange rate differs significantly from the general stability. All rates lie within the narrow band of 0.00538 and 0.00540, suggesting a stable market condition for this specific period.

    This interpretation is based solely on reviewing the provided dataset without considering external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. A more comprehensive analysis would consider these factors, and more data would be needed for forecasting future trends.