Solomon Islands Dollar Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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Trend

1. Overall Trend Analysis

The overall trend of the SBD exchange rate between 2024-04-25 00:00:02 to 2024-04-25 23:55:02 exhibits a slight increase with minor fluctuations. The rate starts at 0.16043, dipping to a low of around 0.16009 before it rapidly increases to a notable high of about 0.16124, then returns to end around 0.16110. Although there are fluctuations throughout the day, the total change from the beginning to the end of the day is minimal, indicating a relative stability in the exchange rate.

2. Seasonality and Recurring Patterns

In this particular set of data, it's difficult to discern any specific periodical patterns or seasonality due to the short time span it covers (only one day). However, some volatility in exchange rates can be seen periodically with rates inching upwards in the later parts of the day, but we need more data to determine if this is a recurring pattern.

3. Identification of Outliers

One potential outlier evident is the quick spike in the exchange rate to a high of 0.16124 at 2024-04-25 13:50:03, which was not representative of the typical slow-moderate fluctuations occurring during the rest of the period. Following this spike, the exchange rate promptly returned to its previous trend of gradual increase. It is likely that this spike is an outlier, though further data and exploration would be needed to confirm.

Summary of Yesterday

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Statistical Measures

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Trend

Overall Trend Analysis

From a preliminary look at the data in your dataset, the exchange rates show a mild increasing trend from the starting point at 0.15987 to the end point at 0.16044. This means that over the span of the dataset, the exchange rates have increased, but only slightly. This could indicate a generally stable market with a slight upward valuation of the SBD. The overall trend therefore seems inclining, but it's not aggressive or steep. There aren't significant fluctuations within the time frame.

Seasonality or Recurring Patterns

Observing the trend patterns at different intervals of time, it's crucial to note that the data doesn't seem to exhibit clear seasonal behavior or recurring patterns based on the provided time series data. While there might be minor fluctuations in the data, these do not form a clear visible pattern.

Identification of Outliers

When looking at the dataset, there aren't any major outliers evident in the data as the fluctuation range seems very compressed, with the values mainly oscillating between 0.15985 and 0.16065. Any slight deviation from this range could be considered as mild outliers, but without a context, it's challenging to label them as significant outliers for now.

Please be informed that the analysis above is solely based on the internal patterns of the provided dataset, and does not consider the external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports.

Summary of Yesterday

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Statistical Measures

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Trend

Overview of the analysis

Based on the given dataset, an analysis has been performed primarily focuses on determining the trend, the presence of possible seasonal effects, and identification of any outliers throughout the given timeframe. No forecast of the future rates nor any consideration of external variables such as market hours, holidays or key financial news was made.

Overall Trend of Exchange Rates

The exchange rates for SBD started at a value of 0.1616 at the beginning of the provided timestamp and ended at a value of 0.15987. There appears to be a general downward trend in the exchange rate over the duration of the provided dataset. However, the changes are quite minor and the rates seem relatively stable, as they fluctuate between a maximum of 0.16176 and a minimum of 0.15976.

Seasonality Analysis

With regard to the seasonality pattern, based on the data, no clear recurring pattern is observed within the given timeframe. There are fluctuations in the exchange rate data, but they do not seem to demonstrate a consistent, predictable, and recurring seasonal pattern in this interval. More data including different months or years might be needed to uncover any potential seasonal effect.

Outlier Identification

Outliers in time-series data are often extreme values that could be result of volatility in the data or anomalies. Based on the given dataset, most of the exchange rates range from 0.1617 to 0.1598. One potential outlier could be the rate recorded at 0.16002 at 2024-04-23 11:00:03 which largely deviates from prior values and considering the overall trend. However, this conclusion is purely based on this dataset and outliers should be generally confirmed with a larger dataset.

Summary

In summary, based on the given exchange rate data, it is evident that while there is a very slight downward trend, the exchange rates have mostly remained stable over the period. There doesn't seem to be a clear seasonal pattern within this specific dataset, but further analysis with more extensive data might be needed to accurately identify such patterns. A potential outlier has been identified but requires more data to confirm. This analysis does not take into account any external factors that might influence exchange rates.

Summary of Last Month

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Statistical Measures

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Trend

Overall Trend

The overall trend of the dataset shows a decrease in the exchange rates (SBD). The initial value starts at 0.16265 and gradually descends to a close of approximately 0.16160. Though there are minor fluctuations throughout the series (which is expected in any financial time-series data), the general trend seems to be a downward one.

Seasonality and Patterns

On the topic of seasonality or recurring patterns, there doesn't seem to be a clear seasonal trend in the given dataset. Considering the data is taken in a span of 24 hours makes it difficult to pinpoint any annual or quarterly seasonal trends. However, if there are certain times of the day when the exchange rates peak or drop, this may be seen as a daily pattern in the data, but it is not significantly evident in the provided dataset.

Outliers

Outliers, which are data points that significantly deviate from the overall trend, are not clearly visible in the given data either. The various fluctuations seen in the data are natural in a financial time series as they are prone to many underlying factors causing them to vary. Again, these observations might not account for intra-minute fluctuations that require a more detailed dataset.

Looking into hourly or minutely data could provide more insights into any sudden and major changes. It is noted that significant outliers can often indicate a specific event impacting the exchange rate or could signal data quality issues.

Conclusion

Based on the analysis, a definitive trend of decrease is observed across the 24 hours of data provided for the exchange rate. However, to be completely sure about these interpretations, exchange rates from more days or months would give a clearer picture, as it would take into account the variability of the rates over a longer timespan. It is always safer to analyze such data with an understanding that performances are subjected to an array of factors including, but not limited to economic indicators, geopolitical events, and other significant financial news.

Summary of Last Week

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Statistical Measures

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Trend

Analysis Result

Upon reviewing the provided time series data of exchange rates (SBD), the following observations can be made:

1. The Overall Trend

There appears to be a subtle upward trend in the exchange rates over the period from March 22, 2024, to April 19, 2024. The rate began near the 0.16042 mark and ended at the 0.16234 mark, signifying an upward trend. However, this trend is not consistent, as there were several fluctuations, with the rates rising and falling at several points throughout the period.

2. Seasonality or Recurring Patterns

Based on the provided dataset, there aren't apparent seasonality or consistently recurrence patterns. The fluctuation of the exchange rates is relatively random without marked regularity, which can often be the case with financial data as exchange rates are influenced by complex, interrelated factors.

3. Outliers

There are several points with significant changes in a short amount of time that can be considered as potential outliers. For instance, the exchange rate dropped abruptly from 0.1607 to 0.15936 between March 28, 4:00 am, to March 28, 10:00 am. Another worth-mentioning instance is the sudden rise from 0.1597 to 0.16076 that happened between April 10, 6:00 am, to April 10, 8:00 am. These instances represent significant deviations from the surrounding data points, thus can be considered as outliers.

In conclusion, while the exchange rate does reflect a mild upward trend over the time period observed, it's notable that there are numerous fluctuations throughout. No concrete pattern of seasonality is detectable within this dataset. Finally, several outliers were identified where significant changes occurred over a short period.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Overall Trend Analysis

The comprehensive analysis of a dataset that indicates changes in exchange rates at different timestamps shows a slight upward trend overall. Despite minor periods of underlying fluctuations, the trend over the period shown is one of steady and slow increase. The data begins at a value of 0.1622 at 01:00:02 on 15th April 2024 and ends at a value of 0.16281 at 13:00:02 on 19th April 2024. Although there are periods where the rate decreases, the general progression shows an ascending direction.

Seasonality or Recurring Patterns

Given the data set, it is challenging to identify any significant seasonality or recurring patterns in the changes of exchange rates. As this is a relatively short-term dataset (only five days), it is difficult to ascertain seasonality. A more extended period would be necessary to make conclusions regarding seasonal impacts accurately. Nonetheless, the dataset shows inner day fluctuations debunking the possibility of a clean, predictable pattern within the day.

Outlier Analysis

This analysis did not detect any significant outliers. Outliers in a dataset are values that differ significantly from what is typical or expected. In the case of these exchange rates, all recorded rates fall within a narrow range, and there are no instances where the exchange rate deviates significantly from the overall trend. This consistency could indicate stability in the SBD exchange market over the period analyzed.

However, a sudden drop and rise in the rates between 16:00:03 on 16th April 2024 and 02:00:02 on 17th April 2024 could draw attention. But as these rates quickly return to the range of the trend, these could not be decisively determined as outliers.

Disclaimer

These results are based on the dataset provided and do not consider any specific event or the analysis of external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Therefore, this analysis should not be used to generate any forecast for future 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

Your time series dataset indicates a fluctuating SBD exchange rate. From the start timestamp (2024-04-19 00:00:02) until the end timestamp (2024-04-19 14:55:01), the data shows minor fluctuations between 0.16247 and 0.16299.

The exchange rate began at 0.16277 and ended at 0.16293. So, there is a slight increase overall. However, the changes are not consistent, indicating a volatile pattern rather than a stable increasing or decreasing trend.

Seasonality & Recurring Patterns

Given the data is only 24 hours, identifying seasonality in the exchange rate can be difficult. Seasonality is often viewed over a longer timespan. However, minute by minute variations do appear to show some regularity. A daily pattern would require additional data beyond the scope of this dataset to establish.

Despite this, there are recurring patterns observable – the SBD rate appears to have peaks and troughs, with a mild increase overall. However, without additional data, it is hard to gripe if these are seasonal patterns or simply random fluctuations.

Significant Outliers

Throughout the given dataset, no significant outliers are identified, as the exchange rates have only undergone minor fluctuations. It remains within a small range of values and changes are, at least for the data given, rather homogeneous.

It should be noted that 'outliers' in economic data are often driven by external events which are not considered as per your instructions. Therefore, the lack of observable outliers doesn't necessarily negate the possibility of their occurrence during different circumstances.

This analysis has been performed without considering external factors which have a significant impact on exchange rates. To obtain a comprehensive evaluation, factoring in elements such as market hours, financial news or reports, and weekend/holiday patterns would be advisable.

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