CFA Franc BEAC Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    The data provided indicates the exchange rates (XAF) at different times (timestamps) on a particular date - 29th February 2024. A comprehensive analysis of this time series data reveals some important points.

    1. Understanding the Overall Trend of the Exchange Rates:

    The first most observable point from the data is the constancy of the exchange rate. Throughout the entire timestamp, the exchange rate remains stable at 0.00224. So, the overall trend of the exchange rate within this data set indicates no increase or decrease but a steady rate.

    2. Identifying Seasonality or Recurring Patterns:

    As the exchange rate remains constant throughout the dataset, it is difficult to identify a clear seasonality or recurrent pattern from this data. Since the rates do not fluctuate, we cannot see a pattern in how they might change over different times of the day or identify any seasonal changes in rates.

    3. Noting any Outliers:

    Due to the stability of rates, this dataset does not display any outliers. An outlier would be a data point that differs significantly from the others, indicating considerable variance in the exchange rate at a specific timestamp. However, since the exchange rate stays at 0.00224 for all time points, there are no such discrepancies or outliers to report in this data.

    To sum up, this time series data shows a very steady exchange rate (XAF) over the span of a day without any apparent change,seasonality pattern, or outliers. Rather than reflecting the often dynamic nature of exchange markets, this dataset presents a uniform rate throughout.

Summary of Yesterday

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Statistical Measures

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Summary of Yesterday

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Statistical Measures

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Summary of Last Month

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    Overall Trend Analysis

    The overall trend of the exchange rates of XAF against USD in the dataset from 2024-02-26 00:00:02 to 2024-02-26 23:55:02, it appears that the rates have remained relatively stable. The exchange rate begins at 0.00223 and ends at the same figure, with a minor fluctuation up to 0.00224 observed starting from about 06:20:02.

    Seasonality or Recurring Patterns

    Given the stability of the rates throughout the dataset, no clear seasonality or recurring patterns are evident based on the data provided. The data represents a single day of transactions, which may not be ample to detect any meaningful patterns. Patterns that occur on a weekly, monthly, or yearly cycle may not be captured in this dataset.

    Outlier Identification

    The dataset provided does not show any significant outliers or unexpected data points. An outlier in this context might be a value that seems unusually high or low compared to the rest of the data. In this dataset, the range of XAF exchange rates stays between 0.00223 and 0.00224, with little deviation. As such, no significant outliers are detected.

Summary of Last Week

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    Data Overview

    The data provided is an exchange rate time series of XAF from January 26, 2024, to February 23, 2024. Over this period, the XAF fluctuated between 0.00220 and 0.00223. The frequency of these recordings differs; however, on average, the data is recorded roughly every two hours, offering a robust dataset to assess and analyze.

    General Trend

    Overall, the XAF exchange rate appears relatively stable over the given period. The rate fluctuates slightly around the range of 0.00220 and 0.00223 but does not show a strong trend to indicate a consistent increase or decrease. This implies that the value of XAF remained relatively unchanged during this time frame.

    Seasonality and Recurring Patterns

    Given the short duration of the dataset (about a month), it is challenging to identify clear seasonality or recurring patterns, since these usually occur over longer, repetitive periods such as quarterly, annually or cyclic. However, upon inspection, there appears to be minor daily fluctuations in the exchange rate, possibly linked to market opening and closing times, although further investigation over a longer time series would be required for confirmation.

    Outliers

    Upon analysis, potential outliers are not readily apparent. The XAF exchange rate tends to hover around the same values, with no significant spikes or dips that would suggest an aberration from the expected. This signifies that during this period, the exchange rate remained relatively steady without any significant unexpected occurrences impacting it.

    In conclusion, the XAF exchange rate maintained a level of stability throughout the period provided in the dataset. It has minor fluctuations but no considerable change in trend. No clear seasonality or recurrent pattern is present in the dataset, likely due to the relatively short data period. The lack of discernible outliers indicates that the exchange rate during this time was largely unaffected by unforeseen, singular events.

Summary of Yesterday

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Statistical Measures

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    Analysis of XAF exchange rates dataset

    The provided dataset contains the exchange rates (XAF) at different timestamps. The extracted dataset commences from February 19, 2024, and concludes on February 23, 2024. Within this period, XAF's exchange rates underwent shifts, which will be analyzed in aspects such as general trend, seasonality, and detection of any possible outliers. The outlined detailed findings are highlighted below:

    1. General Trend

    Based on the provided dataset, it is observed that the exchange rate of XAF over the five-day period maintains a level of stability overall. Starting from the rate of 0.00221 at the beginning of the observed period, the rate alternates slightly between 0.00221 and 0.00223, before settling back to between 0.00222 and 0.00223 towards the end of the data series. There seems to be no significant increasing or decreasing trend. Instead, minor fluctuations can be observed.

    2. Seasonality/ Patterns

    Based on the current data, there is no evident seasonality or recurring pattern in the time-series data. The data appears to have no consistent rate increase or decrease at specific intervals within the five-day time frame. Similarly, there is no noticeable correlation linked to specific hours of the day or specific days within the observation period. However, further extended dataset might be required to identify any potential weekly or monthly cycles.

    3. Outliers

    From the given dataset, no significant outliers are decipherable. An outlier in this context would ideally mean exchange rates differing markedly from neighboring values, which is not the case here. The variation within the observed dataset appears to be minor, with no extravagant spikes or dips present. The observed rates fluctuate within a very close range of 0.00221 to 0.00223.

    Please note that this analysis has been made strictly based on the data provided, without considering external factors such as market hours or important financial news and events.

Summary of Yesterday

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Statistical Measures

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    Understanding the Overall Trend

    After analyzing the data provided, it seems that the exchange rate of XAF faced minor fluctuations during the given period. Due to the limited variation, it's difficult to determine a clear upward or downward trend. Most data points suggest an average value of 0.00223 throughout, with minute deviations reaching as low as 0.00222.

    Identifying Seasonality or Recurring Patterns

    Since the data exhibits little variability and no discernible rising or falling trends, no eminent patterns of seasonal changes could be recognized. The lack of substantial oscillations in the data indicates that the exchange rate's changes do not have repetitive or predictable time-based trends during the visible period.

    Noting Any Outliers

    In the provided dataset, there are no significant outliers, with almost all the values lying between 0.00222 and 0.00223. The rate fluctuations are minimal and no remarkable spikes or drops are observed. This suggests that during the time frame considered, the exchange rate remained relatively stable.

    Note: The analysis is only a reflection of the specific dataset provided and does not consider external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports.