Ouguiya Forecast

Summary of Yesterday

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Statistical Measures

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Trend

1. Understanding the overall trend of the exchange rates

Based on the dataset provided, the exchange rates (MRO) remained constant throughout the entire period shown, which appears to be over 24 hours on the date of 2024-04-25. The rate remained at 0 for the entire period. Therefore, we can conclude that there was no change in the exchange rate throughout this period.

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

Since the exchange rates remained constant throughout the entire day, there's no evidence of seasonality or recurring patterns in this dataset. The MRO rate doesn't seem to be influenced by the time of day, as it stayed the same for each given timestamp. This could suggest that, for this particular day, the MRO was not subject to any intra-day fluctuations.

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

As the exchange rates did not vary at all throughout the dataset, there are no outliers. All the recorded rates are consistent with each other, which is not typical for exchange rates as they are usually subject to fluctuations. However, in this specific dataset, there were no fluctuations or abnormal values identified.

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

It seems there is no noticeable change in the trend because the MRO column consistently carries a value of 0 throughout the dataset. This indicates that the exchange rates have remained stable throughout the given time period, showing neither increase nor decrease.

Seasonality and Recurring Patterns Evaluation

In this particular dataset, no seasonality or recurring patterns have been noted. The MRO exchange rate appears to be consistent throughout the timestamps provided, which suggests a certain degree of stability. Although the data is time-series, the lack of variation in exchange rates makes it challenging to identify any cycles or recurring patterns.

Outliers Identification

Given the constant stability of the MRO exchange rate throughout the recorded timestamps, there are no identifiable outliers in this dataset. Typically, outliers would appear as unusually high or low values compared to the general trend in exchange rates. However, in this particular dataset, all MRO values are consistent, which implies there are no 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

Analysis of Financial Dataset

Before commencing the analysis, it should be noted that the data provided for each timestamp is zero. This implies that no changes have been made to the MRO (Exchange Rate) during the period of observation. Hence, the provided dataset does not manifest any changes or deviations in the exchange rate, thus rendering the analysis to a limited extent due to the absence of any quantitative data changes.

Understanding the Overall Trend

Given the dataset, the exchange rate (MRO) remains constant at zero for the entirety of the recorded time. Thus, for the observed period, we can presume that the MRO neither increases nor decreases. There is a total absence of fluctuation, implying a flat or horizontal trend of exchange rates.

Identifying Seasonality or Recurring Patterns

In the context of seasonality and recurring patterns, the constant rate across all recorded times suggests that there is no seasonality present. Since the MRO remains at zero at all times, it cannot be concluded if there are any regular intervals or seasons at which the rate increases or decreases.

Noting Any Outliers

With respect to outliers that deviate significantly from the general trend, it appears, based on the data presented, that there are none. The absence of deviation or variability in the dataset (given that MRO is zero throughout), leaves no room for the existence of outliers. There are no instances where the exchange rate is drastically different from its usual value (which is zero).

Conclusion

Given the absence of variability in the dataset, it is quite challenging to make any decisive conclusions about the overall trend, seasonality, and potential outliers solely based on the data provided. Nonetheless, the constant MRO value of zero points towards a stagnant exchange rate throughout the analyzed period.

It would be helpful to have additional data with non-zero exchange rates to further evaluate and understand the pattern of changes in the MRO accurately.

Summary of Last Month

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• Difference of Daily High & Low:

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Looking at the provided dataset, I am unable to provide a comprehensive analysis as you requested. This is because all the values for the MRO exchange rate provided in your dataset are 0. For a meaningful analysis of exchange rate trends, seasonality, outliers, etc., the dataset should include different non-zero values for the currency exchange rate at different timestamps. Furthermore, the timestamps are relatively close to each other (every five minutes), so if you provide actual exchange rates, we could observe intraday exchange rate fluctuations. Providing a zero-filled dataset unfortunately doesn't enable any kind of financial analysis. Please, provide a dataset with actual exchange rates and we can go ahead and conduct a full time-series analysis as you requested.

Summary of Last Week

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Statistical Measures

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Trend

It seems like there is some confusion in your data set, as all the values for the MRO exchange rate are provided as 0 which makes it challenging to provide a comprehensive analysis of trends, seasonality, outliers or any meaningful insights. Should this be a data input error, here's the process we will follow for analysis with appropriate data:

Understanding the overall trend of the exchange rates

We will assess the overall trend of the MRO exchange rates by summarizing the data in key statistics (min, max, mean, median), and plotting a line graph to visually observe if the rates generally increase, decrease or remain stable over time.

Identifying seasonality or recurring patterns

To identify any seasonality or recurring patterns, we can decompose the time series into three distinct components: trend, seasonality, and randomness. Analyzing these components will help us understand if there are consistent patterns that occur at specific intervals.

Noting any outliers

Outliers can significantly affect the mean and standard deviation of the data. We can identify outliers by examining a box plot. Outliers will be shown as points above or below the whiskers in a boxplot.

Please provide a corrected dataset so that I may provide a more accurate analysis. The current data with 0 values across the MRO exchange rate won't yield any meaningful insight.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Comprehensive analysis of the provided dataset

Upon reviewing the dataset provided, I noticed that all exchange rates (MRO) are constant and equal to zero. Hence, you may want to ensure this is the correct dataset for your requirements. Nevertheless, the requested analyses are performed accordingly.

1. Understanding the overall trend of the exchange rates

Considering the dataset, the MRO exchange rate has a clear constant trend of zero throughout the given period. It neither displays an increase nor a decrease but remains stable at 0.

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

As the MRO exchange rate is constant at zero for every timestamp given, there are no observable patterns or seasonality in the data.

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

Given the constant nature of the MRO exchange rate, there are no observed outliers. Every data point aligns perfectly with the overall trend.

In conclusion, it seems there might be an issue with the dataset provided as it's highly unusual for an exchange rate to remain constant at zero over a significant period. You may want to revisit the dataset.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

After reviewing the dataset, it appears to be uniform with 0 values for the MRO exchange rate across different timestamps. Unfortunately, this means we are unable to fulfill the goals required for this analysis, as there are no changes or trends in the exchange rates, no scope for identifying recurring patterns or seasonality, and no outliers as the rate is consistently 0.

1. Understanding the overall trend of the exchange rates

Given that all the MRO exchange rates in this dataset are 0, it's clear that the overall trend is stable. There are no increases or decreases in the exchange rates.

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

There is no discernible seasonality or recurring patterns to be noted from this dataset as the exchange rate remains constant at 0 across all timestamps.

3. Noting any outliers, or instances where the exchange rate differs significantly

Given the lack of variance in the data, there are no outliers or significant departures from the constant rate of 0. All values in the dataset are identical, hence there are no instances where the exchange rate differs.

In order to conduct a more comprehensive and meaningful analysis of exchange rate trends, patterns or irregularities, we would require a dataset presenting a variety of non-zero values for the MRO exchange rate over time.