Sudanese Pound Forecast

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

The overall trend for this particular dataset shows minimal fluctuation in SDG exchange rates. The value stayed at 0.00234 in the early parts of the dataset before shifting to 0.00233 and maintained such for the majority of the period. There is no substantial evidence of either an increasing or decreasing trend; the rates appear to be relatively stable.

Seasonality & Recurring Patterns

Regarding seasonality or recurring patterns, the time intervals do not explicitly suggest the presence of any recurring patterns. The data provided is in five-minute increments, and a consistent change in rates is not established from the dataset available. As such, it's critical to have more specific context or expanded data to identify any potential hourly, daily, weekly, or monthly seasonality in the exchange rates.

Outliers Analysis

Given the data consistency and minimal variation in exchange rates, major outliers were not immediately identifiable. Over the entire dataset, the SDG exchange rate seems to oscillate between 0.00234 and 0.00233, with no significant deviations. This suggests that the data is fairly stable and that substantial unexpected fluctuations in the exchange rate are not commonly occurring during this period.

To have an accurate and more comprehensive analysis, engaging more granular data might be helpful or considering external factors like market behavior, key financial news and reports, and geopolitical events that potentially affect foreign exchange rates.

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 in Exchange Rates

The given dataset shows the exchange rate against time. From an overall perspective, the exchange rate of SDG has been quite stable during the given period. The data points start at 0.00233 and remains the same until the timestamp 2024-04-24 05:50:02, where it increases slightly to 0.00234 and remains consistent until the end of given data points. Thus, based on the data provided, there is a slight increase in the exchange rate over time.

Seasonality or Recurring Patterns

In terms of seasonality, it's hard to spot any clear patterns from the available data. Given that the number of data points is limited and the exchange rate remains consistent throughout the given period except for the slight step increase halfway, it is challenging to infer any recurring patterns from this dataset.

Identifying Outliers

In the provided dataset, no apparent outliers are detected. The exchange rate stays consistently at 0.00233 for the first half of the series, then increments by 0.00001 to 0.00234 during the last half. Since we see no variations beyond these two values in the given data, it can be interpreted that there are no significant outliers in this dataset.

To conclude, this time series data of exchange rates is characterized by stability, with a slight increase midway, no clear seasonal or recurring patterns, and no notable outliers. Such stability might suggest a period of steady market conditions, but more detailed data would be beneficial for a deep-dive analysis.

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

1. Understanding the Overall Trend

For the most part, the SDG exchange rate in this dataset remains stable. From the starting timestamp of 2024-04-23 00:00:02 to the end timestamp of 2024-04-23 23:55:02, the SDG exchange rate predominantly remains at 0.00234. However, it shows a slight decrease to 0.00233 starting from 2024-04-23 09:05:02. The fluctuation is minimal, indicating stability in the overall trend of the SDG exchange rate throughout this period.

2. Seasonality or Recurring Patterns

With such a minor fluctuation, it is difficult to infer any clear seasonal or recurring patterns. The data suggests a steady and stable behavior over a period of 24 hours, without any identifiable peaks or dips that might suggest a recurring pattern.

3. Outliers Identification

In the context of this dataset, an outlier would be defined as any exchange rate that significantly diverges from the common rate of 0.00234 or 0.00233. According to this definition, no apparent outliers can be detected in the dataset. The rate does fall to 0.00233, but this change is consistent and ongoing from the point it first occurs, suggesting it is a trend rather than an outlier.

Summary of Last Month

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overall Trend in SDG Exchange Rates

From the data provided, it appears that the exchange rate values from timestamp '2024-04-22 00:00:02' through to '2024-04-22 08:30:02' consistently stands at 0.00234. An apparent surge in the rates is observed at timestamp '2024-04-22 08:35:02' where the rate increases slightly to 0.00235. Subsequent to this the exchange rate maintains a steady rate of 0.00234 throughout till '2024-04-22 23:55:02'. Hence, generally, the exchange rate remained fairly stable across the observed time period.

Seasonality or Recurring Patterns

Upon analyzing the given data, there appears to be no clearly identifiable recurring pattern or seasonality in the exchange rates. The rate consistently remained at 0.00234 with the only exception observed at the '2024-04-22 08:35:02' timestamp. It is important to remember that true seasonality is often observed over a longer period of time (months or years) rather than hours, hence this analysis might not be able to reveal any meaningful seasonality.

Outlier Identification

In this observed data set, there was only one instance, at timestamp '2024-04-22 08:35:02', where the exchange rate value (0.00235) Differed somewhat largely from the otherwise consistent rate of 0.00234. This could be considered an outlier as it deviates substantially from the overall observed trend.

Summary of Last Week

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overview of the dataset

This is a time-series dataset spanning from March 22, 2024, to April 19, 2024. The data points mostly appear in recurrent intervals, with several instances where multiple data points occur at the same timestamp. The response variable, labeled 'SDG,' represents the exchange rate at each timestamp. As described, the timestamps generally fall at hourly intervals, although there are some instances of larger gaps where data for several hours is missing.

Trends in the dataset

The overall trend of the dataset shows fluctuations in the value of 'SDG' across the designated period. These fluctuations point towards periodical rise and fall in the rates, but overall, there doesn't seem to be a strong upward or downward trajectory during this time frame. For most of the dataset, the 'SDG' values range between 0.00225 and 0.00235, with average around 0.00231.

Seasonality

While this dataset does not provide multiple years of data, which would be ideal for determining seasonality, some recurring patterns can be noted. For instance, there are several cases of the exchange rate remaining consistent or nearly so for a few timestamps before changing again. This could be potentially due to trading sessions but specific seasonal trends cannot be positively identified without further analysis and more data.

Outliers

The data does not show extreme fluctuations or data points that stand far apart from others. Additionally, the relatively narrow range of the exchange rate values suggests that there do not appear to be significant outliers in the data. Any moderate fluctuations could be attributed to normal market volatility rather than unusual or unexpected changes.

While this analysis gives you a basic understanding of the trends, patterns, and potential outliers in your dataset, a more in-depth analysis may require more advanced statistical techniques or even machine learning algorithms. This can also assist in confirming any identified patterns and detecting others that may not be immediately apparent.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Detailed Data Analysis

Here is a comprehensive analysis of the given dataset:

1. Understanding the overall trend of the exchange rates:

The dataset, which represents exchange rates for the period from April 15, 2024 to April 19, 2024, shows slight fluctuations in the rates. However, it predominantly lies in the range of 0.00234 to 0.00236. This indicates a somewhat stable exchange rate during the examined period, with no significant general increase or decrease.

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

Given that the data only spans a period of five days, it may be premature to establish any seasonality or recurring patterns in the exchange rates. A longer timespan of data may be required for this purpose. However, based upon the available data, no clear seasonal pattern can be deduced.

3. Noting any outliers, or instances where the exchange rate differs significantly from the trend or seasonality:

From the provided data, no specific outliers are immediately apparent. The exchange rates remain within a narrow range and there are no instances of rates that are significantly different from the expected trend. It is worth mentioning that outlier analysis typically benefits from larger datasets, and this short 5-day window may not provide enough information to identify true anomalies.

Please remember, these insights are based only on the time series data provided and do not take into consideration external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. The financial world is affected by a myriad of factors, therefore, understanding the context is essential for a comprehensive analysis.

Concluding Remarks:

The exchange rates showed slight fluctuations within a narrow range over the period from April 15, 2024 to April 19, 2024, with no significant deviance. The dataset is limited to a very short window of time thus indicating patterns, trends, or outliers are quite tentative without additional supporting data.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overview of Exchange Rate Trend

As an expert in interpreting time-series financial data, we can start by examining the overall trend of the exchange rates. Observing the provided dataset, it is apparent that the exchange rate of SDG remains highly stable. Throughout the entire period shown in the dataset (from 00:00:02 to 14:55:01 on April 19, 2024), the exchange rate consistently hovers around 0.00235, with the exception of a brief period where it decreased to 0.00234.

Seasonality or Recurring Patterns

An analysis to identify possible seasonality or recurring patterns in the changes of exchange rates reveals that there are minimal variations in the data points. The most notable fluctuations are observed between the times 09:05:03 to 10:20:03 and 12:20:03 to 13:00:02 where there is a slight decline in the exchange rate to 0.00234. These zones could indicate that specific time brackets of the day instigate minor changes in the rate, however, more data would be required for a definitive conclusion.

Outliers Identification

Given the relatively constant exchange rate throughout the time-series data provided, there are no significant outliers as the rate rarely deviates from the 0.00235 figure. There is a slight deviation when rates drop to 0.00234, but this decrease isn't drastic enough to be considered an outlier.

Conclusion

In conclusion, the provided dataset does not present considerable fluctuations in the SDG exchange rate within the specified timeframe on April 19, 2024. Instead, it offers a characteristic of stable and consistent rates with very minimal variations, with no significant outliers noted.