Won Forecast

Summary of Yesterday

• Opening:
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• Difference of Daily High & Low:

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overall Trend in Exchange Rates

Based on the data provided, the exchange rate observed remains relatively stable. The majority of the rates oscillated between 0.00099 and 0.001. It can be inferred from the data that there are two main rates that the value cycles between - both of which are extremely close.

Seasonality or Recurring Patterns

From the given time series data, it is difficult to identify any evident seasonality or recurring patterns. The exchange rate has little fluctuation margin deviating away from the small range of 0.00099 to 0.001, without any distinctive pattern across the provided timestamps. This suggests the possibility of a consistent trend, though a longer period of data would be optimal to discern any potential seasonal patterns.

Outliers

There are no significant outliers registered in the provided dataset. The exchange rate varies within a very slight margin and all observed rates fall within this band. Therefore, based on the given dataset, no unusual exchange rate fluctuation has been detected.

Note: For a more in-depth analysis, a larger set of historical data with external factors like market conditions, geopolitical events, and national economic indicators could provide a wider view of the pattern. Such extra parameters would contribute significantly to understanding the variables affecting the 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 Analysis

On the given dataset, the overall trend seems relatively stable. The exchange rates appear to fluctuate slightly around 0.001 KRW, and they do this throughout the entire given time period which means that there is no clear increasing or decreasing trend. A majority of the exchange rates observed are exactly 0.001 KRW, but there are a few instances where it dips slightly to 0.00099 KRW. These dips do not seem to last long and they revert back to the more commonly seen rate of 0.001 KRW soon after they occur.

Seasonality and Recurring Patterns

Eyeing the data, it doesn't showcase any immediate evident seasonality or recurring patterns within the time series data. Any fluctuation between the 0.001 KRW and the 0.00099 KRW exchange rates does not show a recurring pattern in terms of time or day, seeming more sporadic than cyclic. The absence of a clear seasonality may suggest that the KRW exchange rate is more impacted by external factors and occurrences in the global and local economies.

Observing Outliers

The dataset features little variation in the exchange rate over time, which generally hovers around 0.001 KRW with a minor fall to 0.00099 KRW at times. This small range and lack of significant peaks or troughs suggests that there are no clear outliers within this dataset. The exchange rate doesn't differ significantly at any point in time, suggesting a stable and consistent exchange rate during the period observed.

Conclusion

In conclusion, this analysis suggests a stable KRW exchange rate for the specified timeframe, lacking in evident seasonality and outliers. It might be beneficial to have more data including a longer timeframe or more granularity to paint a more nuanced picture or to investigate further on the impacts of external factors on exchange rates. As requested, this analysis is strictly based on the provided numbers and does not consider any macroeconomic or financial context.

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 of Exchange Rates

From the given dataset, it can be observed that the KRW exchange rate has remained stable over the given period of timestamps. The rate floats around 0.00099 and 0.001, with little variation around these values. No obvious increasing or decreasing trend can be delineated based on the provided data.

Seasonality or Recurring Patterns

The data does not appear to have strong seasonality or recurring patterns. There is minor fluctuation between 0.00099 and 0.001, but not on a consistent basis that would suggest a recurring pattern or seasonality. It seems that the exchange rate is relatively stable throughout the period. Further, given the absence of any context on the timing of the data (such as specific weekdays, for instance), inferring seasonality is quite challenging.

Outliers in the Data

The dataset does not seem to contain any significant outliers. The exchange rate consistently hovers around the 0.00099 - 0.001 range, and any fluctuations within this range can be considered as part of its normal behavior rather than outliers. This portrays a sign of a stable currency exchange situation over the time period covered by the dataset, with no drastic fluctuation or unexpected spikes or drops in the exchange rates.

Please note that this analysis is done purely on the basis of the provided timestamps and exchange rates. We have not considered any relevant external factors such as the influence of market opening/closing hours, weekends/holidays, or the release of key financial news and reports, as they couldn't be inferred from the provided data.

Summary of Last Month

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Statistical Measures

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Trend

Understanding the Overall Trend of the Exchange Rates

Upon analyzing the figures provided, it is observed that the exchange rates for KRW stay relatively stable over the given period of time. The values fluctuate between 0.00099 and 0.001, with no drastic increase or decrease. This indicates that the exchange rate for the South Korean Won (KRW) remained consistently close to 0.001 during this period.

Identifying Seasonality or Recurring Patterns

Given that the data provided is for one day only, it is challenging to identify any seasonality or recurring patterns in the exchange rates. However, within the day, similar fluctuations are noticeable, switching between 0.00099 and 0.001 almost every 5 minutes. If this pattern continues in the subsequent days, it can be inferred that there might be a daily pattern occurring. Nonetheless, conducting a more thorough analysis over a larger time frame is required to confirm any such patterns.

Noting any Outliers

No prominent outliers are discernible within the data provided. The exchange rate remains within a narrow range, with very little variation throughout. No instances where the exchange rate significantly differs from the micro-fluctuations observed can be pointed out here. It is recommended to further investigate the data for longer periods to ascertain any potential outliers.

Summary of Last Week

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Statistical Measures

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Trend

Data Overview

Before analyzing, it's important to understand the structure and content of the data. The data provided is time-series data, consisting of dates and times (in the "date_at" column) and corresponding exchange rates (in the "krw" column). The time stamps are provided in the format "YYYY-MM-dd hh:mm:ss" and the exchange rates are numerical values representing the exchange rate of some currency against the Korean Won (KRW).

Overall Trend

Based on the timestamps provided and their corresponding exchange rates, it's observed that the exchange rate, at first glance, seems relatively stable, generally fluctuating between a rate of 0.001 and 0.00101. However, there are also periods where the exchange rate dips slightly below 0.001, specifically between 2024-04-12 and 2024-04-16. There's no obvious increasing or decreasing trend from the given data.

Seasonality

Identifying the seasonality in financial time-series data would essentially mean finding any repeating patterns or cycles in the data that occur at regular intervals. However, with the data provided, there don't appear to be strong indications of seasonality. While there are periods of slightly lower rates followed by recovery to the normal range, they do not occur at a consistent enough interval to infer a seasonal pattern.

Outliers

Outliers in this context would refer to any exchange rates that deviate significantly from the overall observed range of rates. Notably, the rates that fall slightly below 0.001 between 2024-04-12 and 2024-04-16 could be considered as such outliers. This deviation isn't extremely pronounced but is largely noticeable because of the generally stable nature of the other rates provided in the dataset.

Keep in mind that this analysis is drawn from the given data and doesn’t consider other external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, which can also influence exchange rate fluctuations.

Summary

In summary, the data shows a generally stable exchange rate, with a slight decrease in value observed between 2024-04-12 and 2024-04-16. There are no discernible repeating patterns indicative of seasonality, and outliers are those rates slightly below the normal range. It's always recommended that any conclusions drawn are used in conjunction with other market knowledge, as exchange rates can be influenced by a myriad of factors.

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 of the Exchange Rates

Based on the dataset, from April 15, 2024, to April 19, 2024, the exchange rate (KRW) maintained uniformity with a slight fluctuation. Initially, the rate stayed the same at 0.00099. Then, at the timestamp of 2024-04-16 20:00:02, it experienced a slight increase to 0.001, which it largely maintained until the end of the period.

Seasonality or Recurring Patterns in the Changes of Exchange Rates

Given the narrow scope of the timeline, any patterns that may emerge would not be considered seasonal; rather, they would be more akin to short-term trends or patterns. The dataset does not provide evidence of any significant fluctuations, trends, or recurring patterns. Instead, the exchange rate principally stabilizes around 0.00099 and 0.001. However, in a broader timeframe, we might be able to identify recurring trends or seasons.

Outliers or Instances of Significant Change

No notable outliers or cases of dramatic change are reflected in the dataset. The rates oscillated minorly between points of 0.00099 and 0.001. Therefore, all the variations in exchange rates fit within this thin band, indicating a stable exchange rate without any dramatic surges or drops.

Summary

• Overall, the KRW exchange rate was relatively stable throughout the given period.
• There's no clear evidence of major fluctuations, recurring patterns, or seasonality in these specific data.
• No significant outliers were observed in the data, and rates maintained a steady range.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Based on the dataset provided, it seems the exchange rate (KRW) remains constant throughout the period. This is evident since the KRW rate is consistently at 0.001 at all timestamps given. Hence, this dataset does not provide a specific trend or pattern to comprehend due to its uniformity.

Trend Analysis

As mentioned earlier, the rate appears constant at 0.001 for the entire timeframe. Consequently, saying there is a trend, whether it's increasing, decreasing, or even stable, would not be accurate. The uniformity of data does not present a 'trend.'

Seasonality and Patterns Analysis

Considering the dataset, the krw exchange rate remains the same at all timestamps, indicating no seasonality or recurring pattern in the alteration of krw rates.

Identification of Outliers

Given the uniform nature of this dataset, there appear to be no outliers. An outlier would usually represent a significant deviation from the general trend or pattern. Still, as there is no change in the rate throughout, nothing stands out.

It's important to note, however, that this understanding is based solely on data. Any external factors like changes in market conditions, political instability, policy changes, etc., could significantly influence the exchange rates. But since we are not considering those, this analysis is purely from a dataset perspective.