Dong Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Overall Trend Analysis

    Based on the provided data points, the overall trend does not show any significant or noteworthy changes in exchange rates since the value is consistently 6.0E-5 for most of the day. However, at 08:55:04 there is a drop to 5.0E-5 that lasts until 09:30:03, indicating a decrease in exchange rates during this brief time before returning to the consistently held value.

    Seasonality or Recurring Patterns

    Given the detailed analysis does not suggest the presence of apparent seasonality or recurring patterns in this dataset. The exchange value remains stable at 6.0E-5 VND most of the time, regardless of the time of the day. But there's a brief period from 08:55:04 till 09:30:3 where the exchange rate dip, indicating a potential recurring pattern. But this definitive conclusion might not be accurate due to the lack of extended data collection over multiple days or months.

    Identification of Outliers

    The data also does not appear to contain any major outliers. The only significant deviation from the set trend is the drop in exchange rates that occurs between 08:55:04 till 09:30:03.

    Disclaimer

    Kindly note that the above analysis is based solely on this specific dataset and does not consider any external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Consequently, the discovery of trend, pattern, and outliers might differ if external factors were considered. Furthermore, the analysis has not generated any forecast for future rates.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

Summary of Yesterday

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  • Difference of Opening & Closing:
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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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    Based on the data provided, a thorough analysis of the exchange rates has been carried out. The data represents time series data, showing fluctuations in exchange rates (VND) at various timestamps.

    Understanding the Overall Trend

    From a preliminary look at the data provided, the exchange rate seems to remain constant over the timeframe considered. Each timestamp indicates a same exchange rate of 5.0E-5. This constancy suggests that the currency is stable and not affected by frequent rate fluctuations.

    Seasonality or Recurring Patterns

    As the entire data set maintains the same exchange rate value of 5.0E-5, it is difficult to discern any seasonality or recurring patterns. Generally, seasonality or patterns occur when there are systematic and calendar related fluctuations in the data. In situations where the data remains constant, like in this instance, discerning any seasonality becomes impossible.

    Outliers in the Data

    Outliers in a time-series data set are data points that are significantly different from the others. In this case, as every single entry in the data set is the exact same value (5.0E-5), there are no outliers. All data points remain consistent over the time period considered.

    Overall, the data provided does not show any variation or movement in exchange rates over the time period. For a more accurate or in-depth analysis, having some variation in data points is essential. Without this variation, it is challenging to analyze the trend or identify any seasonality or outliers in the data set.

    Note

    These conclusions have been drawn consider only the internal pattern of the dataset - they do not take into account other influencing factors like market opening/closing hours, weekends/holidays, or the release of key financial reports and news. Additionally, no future forecast for rate changes has been provided as per the initial instruction.

Summary of Last Week

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Statistical Measures

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    1. Overall Trend of the Exchange Rates

    After reviewing the data, it can be observed that the exchange rate maintained a relatively stable value of 5.0E-5 for two extended periods, which fluctuates to 6.0E-5 intermittently. This pattern depicts a slightly alternating yet stable trend in the exchange rates over the given timeframe.

    2. Seasonality or Recurring Patterns in the Exchange Rates

    Regarding seasonality, there doesn't appear to be a discernible pattern based on the provided timestamps. The fluctuations seem random rather than influenced by a particular time series or based on recurring intervals. However, detailed, specialized seasonal analysis software may be required for an accurate seasonal effect based on intra-day, weekly, or monthly price changes.

    3. Outliers in the Exchange Rates

    In the given data set, no substantial outliers are noticeable because the exchange rate only moves between 5.0E-5 and 6.0E-5. Any significant divergences could potentially be considered outliers. However, the relatively minor fluctuations over the period do not suggest any severely deviating data points.

    Note: A more in-depth analysis, using statistical tools and techniques, should offer greater insight and validation. Additionally, as per the limit defined in the question, the impacts of external factors such as the opening/closing hours of markets, weekends/holidays, and the release of pivotal financial news and reports were not taken into account for this analysis.

Summary of Yesterday

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Statistical Measures

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  • Trend

    Analysis of Exchange Rate Trends

    After evaluating the dataset, the key trends that are observable are as follows:

    • The exchange rate appears to have two main levels: 5.0E-5 and 6.0E-5. This suggests that the exchange rate generally fluctuates between these two levels.
    • It’s observed that the exchange rate starts at 5.0E-5 and remains constant until it jumps to the higher level of 6.0E-5. It stays at the upper level for some time before reverting back to the lower level of 5.0E-5. Interestingly, the fluctuations do not exhibit a specific pattern or regularity—these jumps appear to be sporadic rather than cyclic or seasonal.
    • As such, an overall trend in this dataset would be difficult to pinpoint due to the lack of a consistent pattern in the fluctuations. However, it could be suggested that the exchange rate stays more at the 5.0E-5 level than at the 6.0E-5 level. This could potentially be due to market stability or other unobserved factors.

    Seasonality in Exchange Rates

    Concerning the potential seasonality in the data:

    • It's noticeable that the transitions between the two exchange rate levels don't seem to occur at consistent, regular intervals. As a result, we could conclude that there is no strong evidence of seasonality or cyclic behavior in this dataset provided.

    Outliers and Anomalies in the Data

    As for outliers or instances of significant deviations:

    • No notable outliers have been observed in this dataset. All values fall within the two levels mentioned above, and any fluctuations between these two levels appear to be part of the natural variation in the exchange rate rather than anomalous outliers.

    Summary

    This preliminary analysis of the dataset suggests that the exchange rate mostly fluctuates between two levels, with no apparent regular or seasonal pattern. All deviations from these levels seem to fall within the normal range, and no significant outliers have been identified.

Summary of Yesterday

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Statistical Measures

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  • Trend

    Understanding the Overall Trend of Exchange Rates

    Looking at the data provided, it seems that the overall trend of the VND exchange rate remains constant throughout the timestamps provided. The rate recorded appears to be 5.0E-5. This figure does not fluctuate or deviate in any of the recorded data points. Therefore, we can conclude that over the given duration, the VND exchange rate has been steady with no noticeable upward or downward tilts. Therefore, no distinct increasing or decreasing trend can be identified.

    Identifying Seasonality and Recurring Patterns

    From the data, no seasonality or recurring patterns can be identified. Seasonality or recurring patterns typically indicate a phenomenon recurring at regular intervals, say, days, weeks, months, etc. In our given dataset, since the exchange rate remains constant at 5.0E-5 across all timestamps, no periodic or frequent fluctuations depict any recurrent themes or patterns. The data remains the same throughout all the hours of the day, and no distinct patterns emerge from this evaluation.

    Outliers Identification

    In the observation, no outliers are detected. An outlier is typically a data point that diverges significantly from other similar observations. It either lies an abnormal distance from other values in a random sample from a population or varies dramatically from the overall trend. However, in this dataset, the VND exchange rate remains uniform throughout all records, staying at a constant 5.0E-5. Hence, no extraordinary or strange values can be identified that would qualify as outliers according to the standard definition.

    Please note that this data does not take into account any potential external influences. It simply analyzes the data provided. Therefore, the outcome might not fully reflect the complexities and unpredictabilities in real-world currency exchange rate fluctuations.