CFA Franc BEAC Forecast

Summary of Last Week

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Statistical Measures

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Trend

Summary of Yesterday

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Statistical Measures

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Trend

Overall Trend Assessment

Upon analyzing your dataset, it's observed that the XAF exchange rate is relatively stable throughout the given period. It predominantly varies between the values of 0.00222 and 0.00224. Although there are slight variations between these values, the consistency suggests a steady and moderate trend.

Seasonality and Recurring Patterns

Based on the data set, it is challenging to identify a definitive seasonality or recurring pattern. Given the limited variation and the apparent consistency, the XAF exchange rate does not exhibit obvious cyclical or seasonal fluctuation. However, a more in-depth statistical analysis or a larger dataset may be required to uncover any hidden patterns or seasonality.

Outliers Analysis

Considering the narrow range within which the XAF exchange rate fluctuates, it appears there are no significant outliers in this dataset. All the recorded values are within the grasp of a small incremental deviation, suggesting a relatively stable exchange rate. No instances of the exchange rate differ significantly from the prevailing trend.

It's noteworthy to mention that this data analysis is strictly based on the dataset provided and does not account for any external influential events or factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports.

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 Trends

The overall trend of the exchange rates (XAF) from the given data set seems mostly stable. The exchange rate initially remains at 0.00223, with no visible changes over a considerable duration. However, the rate does show a slight upward shift to 0.00224 eventually. The number of fluctuations is minimal, with no significant variations in the exchange rates noted from the instance data provided.

Seasonality or Recurring Patterns

Upon examining the data, there doesn't seem to be any noticeable seasonality or recurring patterns. The increment from 0.00223 to 0.00224 doesn't coincide with a specific time of the day. There is no cycle of increase and decrease observed in the exchange rates throughout the given timeframe. Therefore, at this stage, this dataset does not exhibit distinct periodic or recurring trends in exchange rates.

Outliers

In terms of outliers, the dataset seems fairly uniform. The slight change from 0.00223 to 0.00224 might ideally be considered a nominal increase rather than an outlier considering the context of exchange rates, which are typically subject to minor fluctuations. The switch back to the initial rate of 0.00223 also doesn't deviate much from the rest of the data, hence not qualifying as an outlier. Therefore, based on the given dataset, no significant outliers are identified.

Summary of Yesterday

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

Statistical Measures

• Mean:
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Trend

1. Understanding the overall trend of the exchange rates

Upon analyzing the given dataset, it is observed that the exchange rate of XAF primarily remains stable throughout the given time period. In majority of the timestamps, the exchange rate appears to be steady at 0.00223. However, a few instances depict a slight increase to 0.00224. This suggests that there isn't a significant rise or fall in the exchange rate, but a predominantly static trend is noticeable.

2. Identifying Seasonality

Regarding seasonality or recurring patterns, the given dataset does not provide enough variance in the exchange rate to clearly identify any such patterns. The exchange rate mostly stays the same throughout different times of the day, without any noticeable fluctuation that could imply a certain trend. As such, any assertion of seasonality or recurrent trends would not be robust or substantiated with the available data.

3. Outliers

Given the consistent nature of this dataset, identifying outliers presents a bit of a challenge. If we consider the prevailing exchange rate of 0.00223 as the standard, then the instances where it increases to 0.00224 could be regarded as outliers. However, this rise in exchange rate, though infrequent, isn't substantial enough to be definitively classified as an outlier. The data remains largely congruent, without any significant deviations, throughout the period shown.

Summary of Yesterday

• Opening:
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• Difference of Daily High & Low:

Statistical Measures

• Mean:
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Trend

Overall Trend

From the data provided, it appears the trend of the exchange rates (XAF) is generally stable throughout the day on 24th April 2024. The exchange rate mostly stays constant at 0.00223, with minor increases observed at certain time periods to 0.00224. The exchange rate then returns back to 0.00223. No overall increasing or decreasing trend can be seen from this data.

Seasonality or Recurring Patterns

Regarding seasonality or recurring patterns, the data demonstrates a horizontally stable behavior throughout the included period. Small increases from 0.00223 to 0.00224 occur multiple times but do not follow a consistent pattern, as they do not follow a specific time of the day or duration. Overall, we can consider the exchange rate quite resistant to changes during this day.

Outliers

As for outliers, or deviations from the trend, they are very subtle in this dataset. The minor increases in the exchange rate from 0.00223 to 0.00224 can be considered as such, but they are minor and do not represent significant deviations. It's therefore safe to say that during the given time period, the trend remains horizontally stable with no significant outliers.

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 of the Exchange Rates

From the given dataset, the exchange rate of XAF seems quite stable over the entire period shown. The rate predominantly stayed at 0.00223, with only a minor fluctuation down to 0.00222 at certain timestamps. This implies minimal volatility in the rates during this period, indicating a stable economic environment, at least as far as this data is concerned.

Identifying Seasonality or Recurring Patterns

Due to the high level of stability in the exchange rates, recognising any seasonality or recurring patterns is challenging. The data does not show any consistent uptick or downtick at specific times that could indicate a regular pattern. The transition from a rate of 0.00223 to 0.00222 and back seems to occur arbitrarily without a clear, identifiable pattern.

Identifying Outliers

In this dataset, there's only a single variation in the value of the exchange rate, which switches from 0.00223 to 0.00222 and vice versa. Consequently, no outliers exist in the data - that is, there are no instances where the exchange rate differs significantly from the general value. The data is very consistent, with negligible fluctuation, indicating that market conditions were highly stable during this timeframe.

Summary of Last Month

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Statistical Measures

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Trend

Analysis of XAF Exchange Rate Time Series Data

Looking at the dataset provided, the first step in the analysis was to inspect the data and understand the high-level behavior of the exchange rates.

1. Trend Analysis

Throughout the data, the XAF exchange rate remained remarkably stable. There is a small range of fluctuation, between 0.00222 and 0.00223. The rate started at 0.00223, decreased slightly to 0.00222 at around midway through the dataset, and then increased back to 0.00223 towards the end. However, it is worth noting that the overall decrease and increase were very minimal, suggesting a generally steady exchange rate during this time period.

2. Seasonality and Recurring Patterns

Since the dataset provided spans over a short period, it might be difficult to discern clear seasonality or recurring patterns. However, no evidence of seasonality or recurrent behavior is found in the data provided. The XAF exchange rate remained consistent throughout the day with minor fluctuations. Larger dataset with data over months or years might be required to understand any seasonality or recurrent patterns.

3. Outliers and Notable Instances

No outlier or significant instance was noted in the provided dataset. The fluctuations stayed in the tight range of 0.00222 to 0.00223, and there were no extreme shifts that could be considered outliers. This suggests that the exchange rate remained relatively stable and predictable during this timespan.

In conclusion, based on the provided dataset, the XAF exchange rate remained remarkably consistent, with minor fluctuations throughout the period. There is no evidence suggesting any seasonality or recurrent patterns, and no outliers were identified. It would be recommended that for a more comprehensive analysis, data over longer durations should be acquired, which would allow for a more complete analysis encompassing seasonal patterns, trends, and outliers.