Won Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Overview of the Exchange Rates Trend

    Based on the provided data, it can be deduced that the exchange rates demonstrated a stable pattern over the given period. The rate consistently remained at 0.00102, with no appreciable increase or decrease over time. This shows that the currency demonstrated a stable trend over the evaluated date range.

    Seasonality or Recurring Patterns

    The dataset does not appear to show any clear seasonality or recurring patterns based on the given timestamps. The exchange rates remain constant in every instance and do not change significantly or demonstrate any discernible cycles throughout the day. This can be attributed to the fact that the currency exchange rates are not only influenced by cyclical factors within the financial markets but also by a range of other external factors, which is not considered in this analysis as per your instruction.

    Identifying Outliers

    Considering the constant behaviour of the exchange rates throughout the evaluated period, there are no identifiable outliers in this dataset. An outlier would typically consist of an exchange rate that significantly deviates from the ongoing trend or pattern. As the pattern here is one of stable and constant rates, none of the given data points deviate from this trend.

    Conclusion

    From the provided dataset, the clear picture we get is of a very stable KRW exchange rate at 0.00102 over the evaluated period. There is no discernible upward or downward trend, no identifiable seasonality or repetitive pattern, and no significant outliers in the data.

Summary of Yesterday

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Statistical Measures

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    Overview and Analysis of Provided Data

    The given dataset is a Time-Series data that represents the varying KRW currency exchange rates at different time-stamps within a single day, specifically on the 28th of February, 2024. Mindfully examining this data can offer critical insights, but to begin, it's important to note that all analysis here is purely descriptive and doesn't involve any forecasting.

    Overall Trend of Exchange Rates

    Upon examining the data, it is evident that the exchange rates remain fairly stable throughout the day. The data suggests that the KRW exchange rate started at 0.00101 at the beginning of the day and ended at 0.00102 by the end of the day. That indicates a slight increase overall, but given the fluctuations during the day, it's safe to conclude that the rates generally remained steady.

    Seasonality and Recurring Patterns

    Since the data spans only one day and does not cover a full year or more, identifying seasonality or any recurring yearly trend is not possible. However, within the day, there appears to be a pattern. The rates seem to slightly rise and retain stability for a considerable duration before falling back to the earlier rate. This pattern is repeated several times within the day, indicating a possibly recurring intraday trend.

    Outliers and Significant Variances

    Considering the nature of the dataset, it doesn't seem to consist of any extreme values as such. The exchange rates exhibit minor fluctuations between 0.00101 to 0.00102 throughout the day. Therefore, no instances of extreme deviation or unexpected values (outliers) have been identified in this dataset based on the trend and pattern observed.

    Conclusion

    In conclusion, the dataset shows the KRW exchange rates remaining relatively stable for the day in focus, with minor fluctuations. A recurring intraday trend is identified within the day, but no significant outliers or variances are observed. As per the instruction, external factors like market opening/closing hours or key financial events are not considered in this analysis. This report provides a holistic understanding of the dataset patterns without attempting to predict future trends.

Summary of Yesterday

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Statistical Measures

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Summary of Last Month

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Statistical Measures

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    Understanding the overall trend:

    The overall trend of the exchange rate shows a fair degree of stability. The rate initially starts at 0.00102 and drops to 0.00101 at an early stage. Thereafter, considerable fluctuations between these two rates are observed, but the rate predominantly stays at 0.00101. This suggests a minor depreciation in the currency over the timestamp.

    Identifying seasonality:

    As this dataset only contains a single day of exchange rate data, it's not possible to identify any seasonality or recurring patterns on a weekly, monthly or annual basis. The dataset isn't extensive enough to demonstrate any significant cyclical trends. Nonetheless, within this 24-hour timeframe, there was regular fluctuation between the two rates stated above, indicating some level of intraday volatility.

    Noting outliers:

    An examination of the dataset does not reveal any significant outliers. The exchange rate shifts between 0.00102 and 0.00101 at various timestamps, these back-and-forth movements are the norm for this dataset. Hence, there isn't any instance where the exchange rate deviates significantly from what would be expected based on the given data.

    It's worth mentioning that for a more comprehensive and accurate analysis, a larger dataset extending over a longer period would be beneficial. This would help identify longer-term trends, seasonality and unexpected volatility due to specific events.

Summary of Last Week

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Statistical Measures

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    As an expert in financial analysis, I will interpret the provided time-series data set based on the KRW exchange rate over the given timestamps. Please note that the analysis is purely based on the data provided, and external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports are not taken into consideration.

    1. Overall Trend of the Exchange Rates

    Upon initial examination of the provided data, the exchange rates appear to remain fairly stable within the small range of 0.001 to 0.00102 across all allowed dates, particularly from 2024-01-26 to 2024-02-23. There are slight fluctuations, but at this level, they are imperceptible and don't indicate a significant rising or falling trend.

    2. Identifying Seasonality

    According to time stamp, data is collected almost every 2 hours. From the given data, there doesn't appear to have any noticeable seasonality or repeatable patterns in the exchange rates at different times. Even the fluctuations do not show a consistent pattern to suggest a recurring cycle.

    3. Noting Any Outliers

    The data consistently oscillates between 0.001 and 0.00102. Considering the consistency of the data, there are no significant outliers in this data set. However, there are slight changes every so often, for instance, the rate slightly rose to 0.00102 on 2024-02-05 and again fell to 0.00101 on 2024-02-07, indicating minor fluctuations. Nonetheless, these changes do not constitute significant outliers since they are in close proximity to the typical data values and don't deviate significantly from the general trend.

    In conclusion, the KRW exchange rate appears to be very stable over the studied period, with occasional insignificant fluctuations, showing no distinct pattern or seasonality, and no significant outliers.

Summary of Yesterday

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Statistical Measures

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    Understanding the Overall Trend of the Exchange Rates

    The currency exchange rate data that you provided for KRW shows very minimal fluctuation. The value starts at 0.00101 for most of the observation period between 2024-02-19 and 2024-02-23. There was a minimal increase to 0.00102 from 2024-02-22 03:00:02 to 2024-02-22 18:00:03, before reverting back to 0.00101. On 2024-02-23 11:00:03 the value went to 0.00102, then reverted back to 0.00101. This could be due to day-to-day variations in the market but overall, the exchange rate appears relatively stable during this timeframe.

    Identifying Seasonality or Recurring Patterns

    Based on the data provided, it is difficult to identify any strong seasonal or recurring patterns. Any fluctuations that occurred do not seem to follow a certain pattern that links to a specific time of the day or day of the week. It's also worth noting that the slight increase in the exchange rate that occurs doesn't appear to be tied to a specific recurring interval.

    Noting Any Outliers

    In the context of this specific dataset, no notable outliers were found. A change from 0.00101 to 0.00102 might be considered a significant change due to the fine-grain scale we are working with. However, these occurrences were not frequent, and they reverted quickly, indicating that they are not true outliers but rather slight fluctuations in the data.

    Overall, this analysis is subject to the time frame and specific data provided. A more thorough examination could be fulfilled by expanding the timeframe and understanding external factors affecting the exchange rate. However, as per your requirements, these factors were not considered.

Summary of Yesterday

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Statistical Measures

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    1. Understanding the Overall Trend of the Exchange Rates

    After analyzing the provided time series data, it can be observed that for the majority of the time period, the exchange rate remains stable at 0.00101. The rate increases once to 0.00102 and then continues to remain steady. It's worth noting that the rate only fluctuated between two values, 0.00101 and 0.00102, indicating that it remained relatively stable throughout the recorded timeframe.

    2. Identifying Seasonality or Recurring Patterns

    Upon initial analysis of the data, it is not evident that there are any clear patterns or seasonality with regard to the KRW exchange rate. The data predominantly exhibits a constant exchange rate. There is a slight increase in the exchange rate from 0.00101 to 0.00102, however, this fluctuation does not appear to follow a seasonal or cyclical pattern. This change seems to be a random fluctuation rather than a predictable or regular change.

    3. Noting Any Outliers

    The data provided doesn't exhibit any significant outliers. The data fluctuates only twice between two very close exchange rates (0.00101 and 0.00102). Outliers are typically values that differ significantly from the other values in a dataset. Given that all of our values are closely grouped, it would be incorrect to classify any specific value as an outlier in this context.