Surinam Dollar Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Understanding the overall trend of the exchange rates

    By observing the data at a glance and taking into account the start and end values, it is possible to see a level and stable overall trend for the exchange rates. The initial rate at 2024-02-29 00:00:02 is 0.03842, and the final rate at 2024-02-29 23:55:02 is 0.03844. Although there were minor fluctuations between these timestamps, the range of change is very slight, from a low of 0.03836 to a high of 0.03849. Therefore, the overarching trend depicts a fairly stable situation regarding the SRD exchange rate during this period.

    Identifying any seasonality or recurring patterns

    Considering the short period which the data represents (a single day), it is challenging to confidently identify any clear seasonality or recurring patterns in the changes of exchange rates solely based on this dataset. Future analyses could benefit from a larger data set spanning over longer periods (weeks, months, or years), which would potentially reveal daily, weekly or monthly patterns, should they exist.

    Noting any outliers

    In this dataset, there are no significant outliers or instances where the exchange rate differs considerably from what would be expected based on the general trend. The exchange rate stays within a very narrow range of 0.03836 to 0.03849. Any small variations within this range can be attributed to normal market liquidity and do not reflect severe rate fluctuations.

    Please note that this analysis only provides insights into the data provided and does not include any external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Moreover, it does not offer any forecasts for future 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 analyzing the data, it appears that the overall trend in the exchange rates is relatively stable throughout the timeframe provided. The exchange rate fluctuations are very gentle, hovering around the 0.0384 - 0.0385 range. This means that the SRD exchange rate has remained stable in the given time frame, with no significant increases or decreases observed.

    2. Identification of Seasonal Patterns:

    Seasonality or recurring patterns in time-series data refer to predictable and recurring fluctuations that correspond to specific time spans. Analyzing the given dataset, no distinct seasonal patterns or periodic fluctuations are immediately evident. The exchange rates showcased minor fluctuations throughout different time frames but did not present any discernable seasonal trends or consistent repeating patterns.

    3. Noting any Outliers:

    As far as the given data is considered, there are no apparent outliers or instances where the exchange rate deviates significantly from what would be expected based on the general trend. The values retained their stability, hovering around the average without any extreme spikes or dips that would be characterized as outliers.

    Conclusion:

    The analysis of the dataset has unveiled some key aspects regarding the SRD exchange rates. The provided time series data revealed a stable trend in the exchange rates. However, no significant seasonal patterns were detected, and no significant outliers were noted that deviated from the expected trend. This suggests a calm and steady period in the exchange rate's history.

    It should be noted that while analyzing financial data, considering factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, could significantly enhance the depth and accuracy of the analysis. While these factors were not included in this current analysis, they generally hold great potential in explaining more complex patterns and trends in time-series data.

Summary of Yesterday

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Statistical Measures

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  • Trend

Summary of Last Month

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Statistical Measures

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    1. Understanding the Overall Trend

    Considering this dataset, we can observe that the SRD exchange rate has fluctuated during the recorded period. The average exchange rate maintained a fairly constant level close to the 0.0378 at the beginning of the provided data and indicates a significant increase starting from the timestamp "2024-02-26 08:55:02", with the exchange rate reaching levels as high as 0.03827. After this peak, a slight downward adjustment is seen, but the rate continues to sustain at a higher average compared to the beginning of the period.

    2. Identifying Seasonality or recurring patterns

    Given the data, it is challenging to definitively detect seasonality or recurring patterns since the dataset only spans over one day. For insight into daily patterns, more days' worth of data would be needed. Similarly, identifying weekly, monthly, or annual seasonality would require a more extended range of data, spanning multiple weeks, months, or years, respectively.

    3. Outliers Noted

    From the rough overview of the presented data, it seems like there could be a potential outlier or a change point around the timestamp "2024-02-26 08:55:02". This point signals a marked increase in exchange rates. However, without knowledge of any external factors impacting it, it is hard to say definitively whether this represents an outlier in the exchange rate. Nevertheless, it stands out in this particular dataset due to the transition it signals from a lower average rate to a higher one.

    Please note that this analysis is based purely on the dataset provided, and it does not consider any external factors that may have influenced the exchange rate fluctuations such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports.

Summary of Last Week

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Statistical Measures

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    Overall Trend

    The dataset provided shows that the general trend of exchange rates for SRD over the specified period is slightly volatile. Nevertheless, there is an overall minimal increasing trend identifiable, but the increments are not large. The fluctuations may be due to market volatility, economic activities, and various unidentified factors.

    Seasonality and Recurring Patterns

    The dataset does not appear to show any clear recurring pattern or seasonality at first glance. However, minor fluctuations can be seen throughout, which might be perceived as insignificant, but yet indicative of internal mechanisms in the world market. Evaluation of repeating patterns or seasonal periods require more extensive data than provided.

    Notable Outliers

    • On 2024-02-06, there was an observable anomaly where the exchange rate first increased to 0.03706 at 08:00:03 and then dropped to 0.03688 by 20:00:02. This is a larger one-time fluctuation compared to the other dates.
    • On 2024-02-13, there was a substantial increase in the exchange rate, starting at 0.03694 at 06:00:02 to 0.03733 by 14:00:02. This is noteworthy since such a drastic change in a short period was not observed on other days.

    Note: In order to define these outliers, any unexpected increase or decrease that does not follow the overall trend was considered, with no specific threshold in place. The outliers identified are based on the assumption of a relatively stable market, devoid of major economic news, which could affect currency rates.

Summary of Yesterday

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Statistical Measures

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    1. Overall Trend of Exchange Rates

    After closely examining the provided dataset, we observe that there is a general ascending trend in the SRD exchange rate from 2024-02-19 to 2024-02-23. The exchange rate begins at a low of 0.03708 on 2024-02-19 and ends at a slightly higher value of 0.03782 on 2024-02-23. There are a few minor fluctuations in the rate throughout this period, but the overarching trajectory shows a mild increase. This suggests that throughout the period examined, the value of the SRD increased somewhat in relation to the other currency.

    2. Seasonality and Recurring Patterns

    As for seasonality or repetitive patterns within the exchange rate changes, they are unfortunately difficult to discern from the current dataset. Since the data provided only spans over a period of a few days, it may not long enough to effectively identify patterns that tend to manifest in larger time frames (weekly, monthly, yearly, etc.). However, within the short timeframe given, no clear patterns of repeated growth or decline are noticeable. Still, it's worth noting that we see frequent slight oscillations almost hourly, indicative of the inherently volatile nature of foreign exchange markets.

    3. Outliers in the Dataset

    It is also challenging to pinpoint outliers from the provided data, chiefly due to the lack of a defined prediction model or expected trend. Nonetheless, no dramatic or immediate spikes or falls occur in the exchange rate that could be readily identified as anomalies. Rather, the changes in the rates we observe, except for some minor fluctuation, appear to be relatively consistent and exhibit limited variance. These fluctuations are typical in currency exchange rates - especially in intraday rates where frequent, marginal swings are ordinary.

Summary of Yesterday

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Statistical Measures

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  • Trend

    1. Understanding the overall trend of the exchange rates

    From an examination of the time series data provided, it is observed that the overall trend of this data set is moderately stable with very minimal fluctuations in the exchange rate. The exchange rate starts at 0.0379 and ends at 0.03782, indicating a minute decrease over the examined time period. Outside of this, the value does not greatly deviate from the initial rate, suggesting a relatively stable hold on value.

    2. Identifying seasonality or recurring patterns

    Upon close inspection, the data does not appear to show any clear seasonality or recurring patterns in the exchange rates within the provided period. The variations in the exchange rate seem to be random rather than cyclical, with no discernible pattern tied to specific intervals. It would require a more extended data set to conclusively determine any form of seasonality.

    3. Outliers and significant variations

    Considering the limited range of values, there aren't noticeable outliers within this dataset. The exchange rate's small fluctuations are consistent across the entire period, with the rates mostly ranging around 0.0377 to 0.0379. Therefore, in this dataset, there are no significant deviations or outliers, and the data remains reasonably consistent throughout.