Riel Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    An Overview of the Exchange Rates

    The dataset indicates that the exchange rate remains incredibly stable over the provided time period, as each timestamp shows a consistent exchange rate of 0.00033 KHR. Because of this stability, a meaningful trend (whether increasing, decreasing, or fluctuating) cannot be ascertained from the dataset. This trend reflects that the exchange rate in the provided financial data remains unchanged, and no fluctuations have occurred.

    Seasonality and Recurring Patterns

    Furthermore, identifying any seasonality or recurring patterns has proven to be difficult, mainly because of the lack of fluctuations or changes in the exchange rate throughout this data. As noted, the exchange rate remains steadily at 0.00033 KHR, whether it is the beginning, middle, or end of the period at different hours. Therefore, no clear trends indicating periods of higher or lower rates are discernible from this dataset. Essentially, there is no recurring pattern of changes - the exchange rate has demonstrated a constant value of 0.00033 KHR.

    Outliers and Significant Deviations

    Given that the exchange rate remains consistently at 0.00033 KHR throughout the provided time period, it follows that there are no outliers or significant deviations present within the dataset. An outlier in this context would represent a significant move away from the predominant exchange rate observed in the data. Since the exchange rate is unchanged throughout the data, no such outliers exist.

    Conclusion

    The comprehensive analysis of the provided dataset indicates a consistent and steady exchange rate over the time period provided. There is no discernible trend, whether increasing or decreasing over time, and there are no detectable seasonal or recurring patterns within the data, nor are there any outliers or significant deviations. The results from the data analysis point towards a constant exchange rate of 0.00033 KHR.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    1. Understanding the overall trend of the exchange rates

    Based on the dataset provided, it can be observed that the KHR exchange rate remains consistent at a value of 0.00033 over the period shown. There seems to be no significant change over time, meaning the rate neither increases nor decreases but stays stable throughout all the timestamps.

    2. Identifying seasonality or recurring patterns

    In terms of seasonality or recurring patterns, considering the current dataset provided, there seems to be no visible pattern. Typically, we could identify such patterns by observing consistent changes in the rate value at specific times or dates. For example, spikes or drops in the exchange rate happening at the same time every day or the same date every month would signify a pattern. However, in this case, there is no change in the KHR exchange rate at all, thus no such pattern can be determined.

    3. Noting any outliers

    An outlier in this context would be a significant deviation from the consistent rate of 0.00033. With the data provided, it seems that there are no outliers, since every recorded exchange rate is identical. Outliers typically indicate events or anomalies that result in drastic changes in exchange rates. The absence of such outliers in the provided dataset suggests a steady, unchanging rate without any surprising deviations or anomalies.

    To summarize, this analysis indicates a steady exchange rate without any discernable patterns or outliers. Please note that this analysis is based purely on the provided data and does not consider any potential external factors such as financial news, market conditions, or other relevant 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

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

    Analysis of Dataset

    Based on the data provided, a series of analytical steps have been conducted to derive insights on the given time-series data, particularly on exchange rates (KHR) at different times (timestamps) within the day of February 26, 2024. The following sections will present the understanding of the overall trend, identification of seasonality or recurring patterns, and noting any outliers in the changes of exchange rates.

    Understanding the overall trend of exchange rates

    Upon examining the dataset, the exchange rate (KHR) remained constant at 0.00033 throughout the entire day of February 26, 2024. There are no changes observed in the exchange rates at any given timestamp, indicating a trend of complete stability within this timeframe.

    Identifying Seasonality or Recurring Patterns

    Given that the rate is consistent throughout the provided data set, there's no discernible seasonality or recurring patterns in the fluctuations of the exchange rate. The data exhibits a constant pattern with no changes in the exchange rate value over time.

    Noting any Outliers

    In light of the constant pattern of exchange rates, there aren't any outliers or significant changes in the dataset. All the entries hold the same value of exchange rate (KHR) = 0.00033, making the exchange rate plot a straight horizontal line if visualized.

    Summary

    • The overall trend of the exchange rates remains completely stable during the entire duration of February 26, 2024, with no variability in the exchange rates. The rate stands still at KHR = 0.00033.
    • There's no identifiable seasonality or recurring patterns as the exchange rate remains constant over the period in question.
    • As there's no variation in the data, there are no discernible outliers or significant changes in the exchange rates.

    For further analyses, a varied dataset with changing values would be more beneficial in interpreting trends, identifying patterns, and acknowledging deviations.

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

    Analysis of Exchange Rate Time Series

    The given dataset records time-stamped exchange rates over a period starting from 26th January 2024 to 23rd February 2024. The data reports the same exchange rate value of 0.00033 throughout. We can therefore make correspondence with important features of the data, as follows:

    1. Overall trend of the exchange rates

    Given every timestamp reports an exchange rate of 0.00033, there is no significant change across the entire period. This signals a completely stable KHR exchange rate with no evidence of either appreciation or depreciation. Such conditions are quite unusual in currency markets, typically characterized by fluctuations depending on varied economic factors.

    2. Seasonality or recurring patterns

    As the data presents a constant exchange rate, we cannot ascertain any seasonality or recurrent patterns. Seasonality is typically identified in consistent and predictable changes in data points. Given our constant rate, we find no evidence of seasonal exchange rate patterns.

    3. Outliers and anomalies

    No outliers or significant deviations can be found in the dataset, as all values are the same. This makes it impossible for us to identify any rate that deviates from the trend, as there isn't any.

    In conclusion, the analysis of this dataset shows an uncommonly stable exchange rate over the period examined. This stable rate, though highly unlikely within real-world settings, may be the result of a fixed exchange rate policy implemented by some governments to stabilize economies. However, in practical financial analysis, consideration should typically be given to various influential external aspects such as market opening/closing hours, weekends/holidays, and the release of key financial news and reports to provide actionable insights.

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

    The exchange rate of KHR (Cambodian Riel) seems to be constant throughout the given period, as every observation has a value of 0.00033. This implies that there has been no significant fluctuation in the exchange rate during this period, but instead, it has remained stable. This could be due to various factors such as consistent economic policies or lack of major market events that impact the exchange rate.

    Seasonality or Recurring Patterns

    In the current dataset, there appears not to be any clear indication of seasonality or recurring patterns in the changes of exchange rates. Since the exchange rate has remained steady at 0.00033 during the entire period provided, it is not possible to identify a particular pattern within the data. For a trend or pattern to be observed, variations in the data are required which are not present in this dataset.

    Outliers Analysis

    Given that all data points in the provided dataset are exactly equal, no outliers exist in this set of observations. In financial analysis, an outlier would typically represent a value or set of values diverging significantly from others, which does not apply to a set of values that are all the same, as is the case with this dataset.

    Without any significant change in the rates, no further in-depth analysis can be conducted on the trend, seasonality or outliers within this dataset.

    For the current data set, external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports seem to have no observable effect on the exchange rate since the rate has stayed constant throughout. However, in a more dynamic dataset with varying exchange rates, these external factors could potentially have significant influences.

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 Trends in the Exchange Rates

    After assessing the dataset provided, it's evident that the exchange rates have remained remarkably steady throughout the entire timeframe. Specifically, the KHR exchange rate has remained constant at 0.00033. This consistency suggests a level of stability in this exchange rate across the timeframe specified.

    Seasonality or Recurring Patterns

    Given the exchange rate's constant nature, there is no evident seasonality or recurrence in the rates at different times of the day or on different dates. The constant exchange rate of 0.00033 persists throughout the dataset with no apparent fluctuations to indicate a recurrent pattern or seasonal trend.

    Outliers Identification

    Since the exchange rate remains constant throughout, the dataset does not include any outliers. An outlier would typically indicate a significant deviation from the trend or seasonality, but as the trend remains stable with no variation, no outliers are in existence within this dataset.

    In conclusion, the KHR exchange rate is relatively stable during the period specified in the dataset. This could signify a stable economic condition during this time. Nevertheless, keep in mind that this analysis is purely based on the dataset provided and does not take into consideration any external factors such as market conditions, political events, or other economic indicators. For a more accurate and comprehensive analysis, these factors should not be overlooked.