Dong Forecast

Summary of Yesterday

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Statistical Measures

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Trend

Understanding the Overall Trend of the Exchange Rates

Based on the dataset provided, there seems to be a consistent trend in the exchange rate of VND throughout the given period. The rate is stable at 5.0E-5. There is no visible increase or decrease in the rates over the duration represented in the dataset. Thus, the trend of the exchange rate can be characterized as steady.

Identifying Seasonality in Exchange Rates

With regards to identifying seasonality or recurring patterns in the changes of exchange rates, the analysis of this dataset does not show evidence of any such emergent trends. As the rate seems to remain stable throughout all the timestamps given, it suggests that there are no regular fluctuations or patterns tied to specific time frames that contribute to observable shifts in the values. Therefore, it's clear that the exchange rate does not exhibit any seasonality based on this dataset.

Presence of Outliers in the Data

In the context of this dataset, it was not possible to identify any outliers because the exchange rate remained constant throughout the entire duration. The data shows that the rate has always been 5.0E-5 without any sudden spikes or decreases representing potential outliers. This unchanging trend implies that there were no instances in which the exchange rate significantly differed from the constant value.

Please note that this analysis was conducted solely based on the provided dataset and did not take into consideration potential influencing factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports.

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

From the dataset provided, the exchange rate of VND has remained constant throughout the period at 5.0E-5. This shows stability in the currency exchange rate and can indicate a restricted variance in external market forces affecting the currency during the given period.

Seasonality or Recurring Patterns

As per the given dataset, no discernable seasonality or recurring pattern is observed. The exchange rate remained constant throughout. Normally, in time series data, one would look for patterns over consistent intervals, such as daily or monthly patterns. However, in this case, the rate remained the same at each time stamp and thus, no such pattern or seasonality can be derived.

Identifying Outliers

Given the constant value of exchange rates throughout the period, there are no outliers in the data. An outlier would typically be a value which is significantly different from other observations. However, since no variation is present in the data and all values remain at 5.0E-5, it's safe to infer that there are no outliers.

Note on External Factors

Without considering external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, this constant value might represent an anomaly, especially given that exchange rates typically exhibit some degree of fluctuation due to such factors. These might have been controlled in the dataset provided or may not have had a significant impact over the given period.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overall Trend of the Exchange Rate

Given the provided data, it is observed that the exchange rate has been stable throughout the whole dataset. The value provided for the Vietnam Dong (VND) exchange rate remained at 5.0E-5 for the entire duration, which suggests that there has been no noticeable change or movement in the rate in the provided period. The constancy of the rate suggests an unusual stability in the specific market or a lack of data variability.

Seasonality and Recurring Patterns

Regarding the identification of seasonal trends and recurring patterns, it is impossible to note any significant ones based on the provided dataset. From the data at hand, the exchange rate appears to be stable, with no noticeable oscillations, patterns, or seasonal variations that would typically indicate rate fluctuations at particular periods or time frames during a day or certain days within a week.

Outliers Identification

In the case of outliers, which are values that significantly differ from other observed values, none can be identified in the given dataset. The absence of outliers aligns with the observed overall constancy of the currency exchange rate for the duration covered by the data. Therefore, no single value diverges significantly from the observed constant exchange rate of 5.0E-5.

In conclusion, the given dataset indicates a steady exchange rate for the Vietnamese Dong with no evident trend, seasonal pattern, or outliers. This flat trend might be unusual and potentially indicates an absence of market factors influencing the currency or the lack of data variability.

Summary of Last Month

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Statistical Measures

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Trend

Given this dataset is consistent where the exchange rate remains at 5.0E-5 throughout the data, it makes the detailed analysis quite straightforward and distinctive. This kind of stability in exchange rates over such a prolonged timeline is unusual in the open financial markets which tend to fluctuate following economic events, political changes, or market dynamics. The data provided for analysis does not contain any fluctuations or movements in the exchange rate value.

Overall Trend

The overall trend of the exchange rate for VND against presumably USD based on your data set stays constant at 5.0E-5 across the entire range of data. There is no increase, decrease, or variable change observed over the period shown. In conclusion, the exchange rates remain stable throughout the period.

Seasonality

Since the exchange rate of VND stays persistently at 5.0E-5 over the entire course of data, it provides no observable seasonality or recurring pattern in the changing exchange rates across different time intervals. The consistency in exchange rates suggests there's no seasonal variation in the data. In more diversified dataset, we could check for certain effects at specific periods such as end-of-month, quarter, year effects, or weekday/weekend effects, however, with the existing data, such analysis isn't possible.

Outliers

The dataset doesn't exhibit any outliers. Outliers can be identified as instances where the exchange rate differs significantly from the average rate. However, since the exchange rates in the dataset remain constant at 5.0E-5 throughout, it means the dataset doesn't have any outliers.

Final Thoughts

To carry out a more comprehensive financial analysis and identify patterns, trends or outliers, more diverse and dynamic data would be necessary. This would ideally include fluctuations in the exchange rate over time. This analysis aims to provide an explanation and understanding of the current dataset as provided. Without notable changes in the dataset, there's limited insight that can be extracted regarding the VND's exchange rate behaviour.

Summary of Last Week

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Statistical Measures

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Trend

1. Overall Trend of Exchange Rates

Upon review of the dataset, it appears that the overall trend of the exchange rates from the period of 2024-03-22 to 2024-04-19 predominantly remains stable. The value stays at 5.0E-5 for the vast majority of the timestamps, with one exception on 2024-04-12 where the value briefly increases to 6.0E-5. Overall, based on the given data, the exchange rate of VND does not show a clear increasing or decreasing trend.

2. Seasonality or Recurring Patterns in Exchange Rates

Analyzed data does not demonstrate any significant evidence of seasonality or recurring patterns in the changes of exchange rates, as the VND exchange rate remained consistently at 5.0E-5 except for the brief change on 2024-04-12. This lack of variation makes it difficult to identify any recurring trends or cyclical patterns.

3. Outliers in the Exchange Rates

In this dataset, only one discernable outlier can be identified. On 2024-04-12, the exchange rate briefly increases to 6.0E-5, up from the consistent rate of 5.0E-5. This jump is an instance where the exchange rate differs significantly from the otherwise stable exchange rate. However, it's challenging to infer any specific reason behind this discrepancy based solely on the provided data.

Summary of Yesterday

• 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 Dataset

The provided dataset contains time-series data of exchange rates (VND) for various timestamps from April 15, 2024, to April 19, 2024. The timestamps represent different hours throughout these days.

Overall Trend

The overall trend of the exchange rates throughout this period is stable. This is based on the observation that the value throughout all timestamps consistently remains at 5.0E-5. There is no observable increasing or decreasing trend in the value across the depicted timeframe.

Seasonality and Recurring Patterns

Since the exchange rate remains constant throughout the entire period analyzed, there is no apparent seasonality or recurring pattern in the changes of the exchange rates. The VND exchange rate is consistently 5.0E-5 at all given times throughout the available period.

Outliers

As per given data, there are no identifiable outliers in the exchange rates. The exchange rate remains constant and stable throughout the observed period, indicating that there have been no significant fluctuations in the exchange rate causing divergences from the overall pattern.

Additional Note

It's worth noting that this analysis is derived purely from the provided 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. Additionally, this analysis does not generate any forecast for future rates, as per the request.

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 above, here is a comprehensive analysis:

Understanding the Overall Trend of the Exchange Rates

The provided dataset shows that the exchange rate of VND has remained constant at 5.0E-5 for the entire timeline. Indeed, there is no increase, decrease or variability noted in the exchange rates. This suggests that during the given period, the financial market for the VND currency was extremely stable.

Identifying Any Seasonality or Recurring Patterns

Given the data, there is no discernible seasonality or recurring patterns in the exchange rate changes for the VND currency. Since the rate is steady at 5.0E-5, there are no fluctuation patterns to record or analyze.

Outlier Analysis

Closely related to the earlier points is the observation that there are no outliers in this data. The exchange rate does not vary, and as such, no data points deviate significantly from the others. In this context, an "outlier" would be an exchange rate significantly different from 5.0E-5, and no such rate is observed.

In conclusion, the VND exchange rate has remained stable in the given period. However, note that this steadiness is unusual for financial markets, which normally demonstrate fluctuations due to economic and market factors.