Sudanese Pound Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    I first parsed the data provided into recognizable timestamps and matching exchange rate values. Each timestamp corresponds to a specific point in time on 29th February 2024, with a distinct exchange rate attached. Following the requested HTML format, here is a summary of the dataset analysis.

    1. Understanding the Overall Trend

    The time-series plot for this dataset shows a relatively flat and stable line. This implies there's no significant increase or decrease in the SDG exchange rate throughout the day on 29th February 2024. The exchange rate almost consistently stayed at 0.00226, with only a small dip to 0.00225 during the 09:00 to 09:30 period.

    2. Identifying Seasonality Patterns

    Given the dataset only covers a 24-hour period, a comprehensive understanding of possible seasonality in the changes of exchange rates could not be generated. A more extended dataset across multiple days, weeks, or even months may be required to ascertain possible recurring patterns in exchange rate changes. Based on the data available though, there doesn't appear to be any clear intraday seasonality, with the exchange rate staying mostly consistent throughout the day.

    3. Noting any Outliers

    In terms of outliers, it is notable that there was a slight drop in the SDG exchange rate between 09:00:02 and 09:30:03. The value dropped from 0.00226 to 0.00225. However, this change is relatively insignificant and the rate went back up to 0.00226 at 10:05:03. Therefore, this slight deviation can be considered an outlier within this specific dataset.

    To summarize, the exchange rate disclosed in this dataset remained largely unchanged throughout 29th February 2024. While there was a minor decrease during a small period, it carried minimal deviation from the predominate rate, subsequently returning to the established level. No clear patterns or trends can be derived from this limited scope. A larger dataset would be required to analyze deeper trends, patterns, or outliers.

Summary of Yesterday

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Statistical Measures

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  • Standard Deviation:
  • Trend

    Overall Trend of Exchange Rates

    From the dataset provided, the overall trend of the exchange rate appears to remain steady. The SDG exchange rate started at 0.00225 and there is a slight increase to 0.00226, but it continues to maintain at 0.00226 for the rest of the time series data. Although there's a small increase early on, the general rate can be said to have remained relatively constant for the entire period.

    Seasonality or Recurring Patterns

    Given the data, no clear seasonality patterns emerge. The lack of fluctuation in the SDG exchange rate results in an absence of visible intermittent and repeated changes that typically signify seasonality. To definitively determine if there's a seasonal aspect, the data analysis would need to be complemented with additional information such as day of the week or month of the year.

    Outliers in the Dataset

    In this dataset, no outliers can be detected. Every recorded exchange rate falls within the narrow range of 0.00225 to 0.00226. Hence, no instances of substantial rate deviation occur from what would be anticipated based on the observable trend in the given timeframe.

    Note:

    The analysis is based solely on the provided dataset, specific occurrences or external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news, and reports have not been considered.

Summary of Yesterday

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Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

Summary of Last Month

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Statistical Measures

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    Understanding the overall trend of the exchange rates

    The data provided consists of exchange rates on a specific date at Feb 26, 2024. The exchange rate remains constant at 0.00225 across all timestamps on the date provided. Therefore, there is no observable trend, increase, decrease, or change in the exchange rate value during this period.

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

    Given the constant value of the exchange rate throughout the data set, there are no observable patterns or seasonality in this data set. The exchange rate remains stable at all time points, indicating no periodic fluctuations that would suggest any seasonal effect.

    Noting any outliers or instances where the exchange rate differs significantly

    Since the exchange rate for sdg is constant at 0.00225 throughout the entire dataset, there are no outliers in this data. This indicates that there are no instances where the exchange rate differs significantly from the general level of 0.00225.

    This analysis is entirely based on the dataset provided and does not take into account any external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports that might impact the exchange rate value. Therefore, further analysis would require additional information and data.

Summary of Last Week

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Statistical Measures

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    Data Overview

    The dataset given is a time-series data expressing the changes in SDG exchange rate at different timestamps. These timestamps are in the format YYYY-MM-dd hh:mm:ss, and the SDG exchange rate is denoted in decimal values representing the exchange rate at the timestamp. Before starting the analysis, it's important to parse the data correctly and methodically during the data preprocessing phase.

    Overall Trend Analysis

    Upon glancing at the data, there are some minor fluctuations in the SDG exchange rate but overall, it seems to be stabilizing around the 0.00224 - 0.00226 range. However, to draw a more precise conclusion, it would be recommended to plot a line chart using visualization libraries such as Matplotlib or Seaborn. This would help us to visually understand the exchange rate's overall trend within this period.

    Seasonality and Patterns

    After a thorough inspection of the dataset, no clear seasonality or recurring patterns have been identified. Generally, seasonality in financial time-series data indicates a fixed and known frequency, which does not surface from the provided dataset. However, further detailed analysis using a seasonal decomposition of time series by Loess (STL) or Autoregressive Integrated Moving Average (ARIMA) could reveal any underlying seasonality or recurring patterns that may not be readily observable.

    Outliers

    With respect to this dataset, it does not contain any significant outliers where the exchange rate would differ notably from what could be expected based on the seeming trend. Even though, more robust techniques for outlier detection could include statistical methods such as Z-scores or the IQR method.

    Note

    Please note this is a very simplistic analysis and without considering external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, a comprehensive understanding may not be achieved. However, this can be a decent starting point for further, more detailed analysis.

    This is a purely data-driven observation from the dataset provided and doesn't attempt to forecast any future rates. And, it's important to approach financial data with caution, as many external factors not present in the dataset can influence the trends and patterns.

Summary of Yesterday

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  • Difference of Daily High & Low:

Statistical Measures

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  • Standard Deviation:
  • Trend

    Analysis of Exchange Rates

    The dataset provided comprises timestamps, each matched with a corresponding exchange rate. The exchange rate signifies the value of the SDG currency during different moments in time throughout the year 2024. Based on an analysis of the provided dataset, the following insights were gathered:

    1. Trend of Exchange Rates

    After thoroughly analyzing the dataset, it can be concluded that the trend of the exchange rate remains fairly steady. Rates predominantly hover around the 0.00224 - 0.00225 range for the entire provided period. This lack of significant fluctuation indicates a stable currency during this time frame. The range of variation in the exchange rate is also quite small, indicating low volatility in the exchange rate of this SDG currency during the period in question.

    2. Seasonality & Recurring Patterns

    In terms of seasonality or recurring patterns, it's challenging to speak definitively without any additional contextual information. Considering that the dataset provided covers a short-term period and shows slight variation, it is insufficient to determine a clear pattern or cycle. This assertion could change if additional information, such as yearly data or a longer timeframe, were provided. Only then could we potentially observe seasonal changes or meaningful patterns in the exchange rates.

    3. Outliers

    An outlier in data commonly refers to an observation that lies an abnormal distance from other values. In the given dataset, there were no significant outliers noted. All values of the exchange rates are around 0.00224 and 0.00225, with no sudden spikes or drops. This again reflects relative stability in the exchange rate during this period.

    The provided dataset indicates a relatively stable exchange rate for the SDG currency over the time frame analyzed. There isn't any evidence of familiar patterns or seasonality in the fluctuation of exchange rates based upon the provided data, and no significant outliers were noted.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Analyzing SDG Exchange Rate

    The provided data contains the SDG exchange rate at different timestamps from February 23, 2024 starting at 00:00:02 until 14:55:01 of the same day.

    Understanding the Overall Trend

    Upon observing the data, there is a lack of a noticeable upward or downward trend in the overall exchange rate of the SDG. The value, for the most part, remains stable at 0.00224 as that is the most frequently occurring exchange rate value in the given dataset. There is a slight increase to 0.00225 beginning from the 02:50:02 timestamp but reverts to 0.00224 around the 03:00:02 timestamp and again at the 04:15:02 timestamp before settling at 0.00225 starting from the 09:15:03 timestamp.

    Identifying Seasonality or Recurring Patterns

    Due to the lack of data across multiple cycles or periods (only one day's worth data provided), it's not feasible to identify seasonality or recurring patterns reliably. A considerable amount of data outlining the exchange rate over several weeks, months, or even years would have allowed us to identify any seasonal trends or patterns.

    Noting Outliers

    There are no significant outliers in the dataset provided. The SDG exchange rate fluctuates slightly between 0.00224 and 0.00225 throughout the period provided. However, considering the relatively small magnitude of fluctuation, none of these instances can be classified as outliers, i.e., exchange rates that significantly deviate from the trend (which is almost flat).

    Please note, as requested, this analysis did not consider the external factors like market opening/closing hours, weekend/holiday effects, or the potential impact of any financial news or reports.