Iraqi Dinar Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Analysis of Exchange Rates

    Upon careful inspection of the dataset provided, important observations have been made. The data report has been analysed segment by segment for a better understanding and interpretation of the facts and figures.

    1. Understanding the Overall Trend

    The variable of interest in this case is the exchange rate (IQD). The data shows that there's a very subtle variation in IQD exchange rate. It starts at a value of 0.00104 and remains relatively consistent, with only two instances where the rate drops to 0.00103, before going back up to 0.00104. Thus, if we were to consider the overall trend of the exchange rate, we can define it as mostly stationary within the data set's time frame.

    2. Recurring Patterns and Seasonality

    Given that the data spans within a single day, we might consider high-frequency intra-day seasonality. Such patterns could be related to market opening/closing hours, lunch breaks, or other regular daily events.

    However, as per the requirements, we are ignoring these factors and looking at the data in a simplified manner. Considering this, it's hard to identify any clear recurring patterns or seasonality in the given dataset because of its consistency. The rates remain principally stable during the various time stamps.

    3. Outliers Identification

    An outlier is a data point that differs significantly from other similar observations. They might be due to variability in the measurement or can indicate an experimental error. In our case, the two instances where the rate drops to 0.00103 could be considered as outliers, as most of the dataset stays at 0.00104.

    However, the change is so minimal it might be within the acceptable 'predictable' fluctuation. Without further information regarding the common fluctuation range for these rates, it is difficult to conclusively label these points as true outliers.

    In conclusion, the dataset shows a predominantly stationary behaviour in the exchange rates with a couple of negligible exceptions.

    Note: These insights are provided without considering the influence of external factors such as market hours, financial reports, etc. as per the request.

Summary of Yesterday

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Statistical Measures

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    Data Overview

    The provided data represents the exchange rate IQD over a 24 hours period on February 28, 2024. The dataset consists of timestamps and respective IQD exchange rates.

    Overall Trend

    Throughout the entire period, the IQD exchange rate generally remained stable. The value oscillated around 0.00103 - 0.00104, with no significant increases or decreases observed. This implies the rate was relatively stable within this time frame.

    Seasonality and Recurring Patterns

    No strong seasonality or recurring patterns can be detected from the given time-series data. The exchange rates were largely consistent throughout the day, and no regular fluctuations can be observed that might hint at a recurring pattern.

    Outliers

    Given the relatively unvarying data, there were no significant outliers noted. All values across the dataset were within a predictable range based on the general rates observed. Therefore, no irregular or unexpected instances are detected within this period.

    Summary

    In summary, the data suggests that the IQD exchange rate was relatively stable on February 28, 2024. No substantial changes or regular fluctuations were observed, and no significant outliers were detected. Therefore, the exchange rate for this particular day can be considered consistent with little volatility.

Summary of Yesterday

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Statistical Measures

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Summary of Last Month

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    Based on your request, here is the analysis of the given data:

    1. General Trend:

    The exchange rates provided in the dataset remain unchanged throughout the given period. The rate in this dataset on all the timestamps is constant at 0.00103. This indicates a stable rate without any fluctuations throughout the entire dataset.

    2. Seasonality or Recurring Patterns:

    With respect to possible seasonal fluctuations or recurring patterns, based on the provided data, it can be concluded that there are none. As the data stays constant at 0.00103, there is no variation to relate to any specific time or recurring event. Thus, there is no seasonality or pattern evident based on this dataset.

    3. Outliers:

    As every exchange rate in this dataset is the same, there are no instances of significant change or outliers. The rate remains constant and consistent throughout. Therefore, there are no significant deviations from this trend that could be classified as outliers within the given period.

    Please note that this analysis doesn't consider any external factors or future forecasting as you instructed. External factors like interaction of buying and selling currencies, central banks' policies, geopolitical events, etc., would typically have significant effects on exchange rates. However, they were not considered in this analysis to meet the goals specified in the task.

Summary of Last Week

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Statistical Measures

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    The data provided consists of timestamps and the accompanying exchange rate. A comprehensive examination of these data points can help determine the overall trend over time, identify any recurring patterns, and point out any anomalies.

    Trend Analysis

    After evaluating the dataset, it appears that the exchange rate over the given period is quite stable, fluctuating between 0.00102 and 0.00103. There seems to be no significant upward or downward trend as the exchange rate frequently returns to these values.

    Seasonality Analysis

    Regarding seasonality, no clear repeating patterns can be identified in the provided dataset. The data does not show any predictable fluctuation patterns linked to specific time frames. The data does not appear to have any cyclic trends which comprise seasonality. Further analysis and longer periods may be needed for a more precise evaluation.

    Anomaly Detection

    Outliers, or anomalies, generally refer to cases that stand out due to significant deviations from the overall pattern. In this case, no such anomalies were detected. The rates fall in a very stable range of 0.00102 to 0.00103 with no drastic peaks or drops.

    However, it is necessary to stress that the identification of trends, seasonal patterns, and outliers is based solely on the provided data. Further insights might be gained by considering external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Despite being outside the scope of present analysis, such factors have been proven to significantly influence exchange rates.

Summary of Yesterday

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Statistical Measures

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    1. Understanding the Overall Trend of the Exchange Rates

    Upon examining the dataset, it would seem that the exchange rate of IQD remains constant over the given period. The rate has been consistently reported as 0.00103 regardless of the time or date. Therefore, there doesn't seem to be an increasing or decreasing trend in the exchange rates.

    2. Identifying Seasonality or Recurring Patterns

    As for seasonality or recurring patterns, given the constancy of the exchange rate over the period, no discernible seasonal trends or patterns emerge from the data. The rate does not fluctuate and remains constant at all times, suggesting that there isn't any visible intraday, daily, or weekly seasonality at play.

    3. Noting Any Outliers

    As the exchange rate for IQD has remained unwavering at 0.00103 throughout the entire timeline, there are no observed instances where the exchange rate deviates from this stable value. Consequently, we do not identify any outliers in the data.

    However, it's important to acknowledge the limitations of this analysis. Without variability in the exchange rate data, it's challenging to identify trends, seasonality, or outliers. Moreover, without considering external factors like market trends or key financial news, this analysis is limited to the observed data trends within the dataset provided.

    Conclusion

    In summary, the dataset demonstrates a steady and unchanged IQD exchange rate of 0.00103 over the given period. There is no observed fluctuation or irregularity in the data to indicate any particular patterns, trends, or outliers.

Summary of Yesterday

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Statistical Measures

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    Analysis of IQD Exchange Rate Time Series Data

    The timestamps in the dataset span the date of February 23, 2024. The exchange rates for IQD in this dataset appear to be remarkably stable, and there doesn't seem to be any significant fluctuation. It is important to interpret the results with caution as the data for only approximately one day is provided, which makes it harder to define the general trend.

    1. Overall Trend

    The overall trend for this exchange rate appears to be largely stable for the given time interval, staying static at 0.00103. There are no obvious signs of either an increasing or a decreasing trend during the observed period. Given this constant value, it is difficult to establish a clear trend direction.

    2. Seasonality or Recurring Patterns

    The investigation of seasonality or recurring patterns in this dataset is limited due to the stable nature of the exchange rate across the entire collection of timestamps. With no notable fluctuations within the data, it is not possible to identify any cyclical patterns or seasonal trends. A comprehensive review of more than one-day data would provide enough capacity to recognize and analyze such patterns better.

    3. Outliers

    In this dataset, there are no outliers present. An outlier would be represented by a value that substantially deviates from all other data points, and in this series, all exchange rate values are consistently at 0.00103. No divergence from this level in the IQD exchange rate suggests that no exceptional factors were influencing the exchange rates in the given day.

    While this analysis doesn't take into consideration external factors such as market opening and closing hours, economic news, weekends, or holidays, these factors typically have significant effects on exchange rates. Despite their potential influence, the data provided for this single day appears remarkably stable, indicating that such factors may not have had meaningful impact during this particular period. Nonetheless, for a far-reaching analysis, it is suggested to study a larger, more diverse data set.