Belarussian Ruble 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

Overall Trend of the Exchange Rates

From the data provided, all the values for the exchange rate (BYR) are constant at 7.0E-5. This indicates that the exchange rate remains stable throughout the entire period covered by the dataset, showing no signs of either increase or decrease.

Seasonality or Recurring Patterns

As the values for the exchange rate (BYR) are constant across all timestamps, there are no apparent seasonal or recurring patterns that can be identified from this dataset based on the exchange rate alone.

Outliers in the Exchange Rates

Given the constancy of the exchange rate value throughout the timespan covered by the data provided, there are no instances where the exchange rate differs significantly from the stable value of 7.0E-5. Therefore, the assistance cannot identify any outliers in this particular dataset.

Note:

The data analysed here provides no indication of any specific events or external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. The analysis was carried out purely on the numerical fluctuations in exchange rate, and no forecast for future rates has been made.

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

Upon analysis of the data provided, it appears that the exchange rate of BYR has remained constant throughout the entire period under consideration. The value has been steadily at 7.0E-5 across all the timestamps provided in the dataset. Thus, we could conclude the trend as being stable with no observable increase or decrease.

Seasonality & Recurring Patterns

Generally, seasonality and recurring patterns are identified when there are regular and predictable changes in the data observed over a specific time period, such as weeks, months or quarters of a year. In this dataset, however, due to the stable nature of the exchange rates, i.e., without any changes in values, we couldn't identify any seasonality or recurring patterns.

Outliers

Outliers typically refer to data points that deviate significantly from the norm of the given dataset. In the case of this dataset, since all exchange rate values are identical, there are no outliers. Every data point adheres strictly to the norm, and none deviate from the overall consistent value of 7.0E-5.

In conclusion, based on the data provided, the BYR exchange rate has remained stable throughout the period under examination. There is no evidence of trends, seasonality, recurring patterns, or outliers. This is purely based on the provided dataset, and external factors such as market events and economic news have not been taken into account.

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 dataset provided, the exchange rates remain constant at 7.0E-5 over the entire period. This suggests stability in the exchange rate over time. This level of steadiness is atypical in financial markets, which are often characterized by at least some degree of volatility.

Seasonality or Recurring Patterns

Given that the dataset shows the exchange rate staying constant throughout, there is absence of any discernible seasonality or recurring patterns. In a typical financial time series data, we could potentially see patterns on certain days of the week or times of the day. However, this is not the case with the current dataset.

Outliers in the Data

The exchange rate data does not display any outliers: The rate remains consistently at 7.0E-5, without any fluctuations or divergences. In finance, outliers can provide interesting insights or suggest potential errors in data gathering, but the absence of such outliers in this dataset further indicates its stability.

Conclusion

In conclusion, the exchange rate data provided shows a persistent rate of 7.0E-5 throughout the period. This uncommon level of stability suggests a lack of volatility and no discernible pattern or outliers. This makes any significant retrospective analysis challenging as there is no variation in the data, however, it indicates an unusual level of stability in the exchange rate.

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

The provided data indicates a constant exchange rate of 7.0E-5. Given this, the desired analysis is as follows:

Understanding the Exchange Rate Trends

The data set provided shows a consistent exchange rate of 7.0E-5 with no fluctuations throughout the available data. This uniformity indicates a stable rate for the period shown.

Seasonality and Recurring Patterns

Considering the exchange rate remains constant throughout, there is no evidence of seasonality or recurring patterns in the data. In the context of financial markets, recurring patterns and seasonality are usually seen as fluctuations in rates aligned with specific periods. However, no such pattern emerges here due to the lack of variability in the exchange rates.

Identifying Outliers

In this case, an outlier would represent a significant departure from the constant rate. Since the data set does not include any variations in the exchange rate, there are no observable outliers.

It is important to note that the analysis is based solely on the provided data. The exchange rate might be affected by various external factors such as geopolitical events, economic indicators, and market sentiment, which have not been included in this analysis. The scope of external factors influencing exchange rate, such as market hours, weekends/holidays, or key financial news and reports, is also excluded in the given analysis.

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

Data Analysis

From the data provided, it's evident that the BYR exchange rate has remained consistent at 7.0E-5 across multiple timestamps. This stretch of data covers different days and hours, from 2:00:02 on March 22, 2024, until 12:00:03 on April 19, 2024.

Understanding the Overall Trend

When analyzing the overall trend, there's no evidence of increase, decrease, or notable fluctuation. The value stays constant at 7.0E-5 throughout. Therefore, we can conclude that the rate remains stable over this specific period.

Seasonality or Recurring Patterns

As the exchange rate constantly remains at 7.0E-5, there's no discernible pattern or seasonality. No regular change in the exchange rate at specific times or regular intervals (daily, weekly, etc.) can be identified from the data given.

Outliers

Given the complete lack of variation in exchange rates across all timestamps, there are no outliers in this dataset. All values included confirm to the constant rate of 7.0E-5, and no value deviates significantly (or at all) from this figure.

Note

To acquire better insights about the trend, patterns or anomalies, the exchange rate data for a comprehensive period or more variation in data might be necessary. In this situation, any conclusions drawn might not be truly reflective of the structure or behavior of the data in a more general context.

Moreover, though external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports can significantly influence exchange rates, this analysis does not include these considerations in line with the request. These factors might induce changes in standard patterns which can't be reflected with 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 BYR Exchange Rates

The provided dataset consists of time-stamped BYR exchange rates. It appears the time interval ranges from April 15, 2024, to April 19, 2024. In this comprehensive analysis, we will discuss the overall trend, any seasonality, and notable outliers in the data. Let's start.

1. Overall Trend

After examining the dataset, it appears that the exchange rate for BYR has remained constant at 7.0E-5 over the course of five days under the observation. Thus, we observe a horizontal trend - implying that the exchange rate exhibits stability in this period, without experiencing any noticeable increase or decrease.

2. Seasonality and Patterns

While assessing for seasonality in the dataset, we discovered no discernable recurring patterns. The exchange rate stays consistent across the entire length of the dataset. Predictably, without variation in the data, we would not expect to see any naturally recurring highs or lows in relation to the time of day, day of the week, or any observable pattern over the course of these days.

3. Outliers

Given the exchange rate's static nature over the observed period, there's no fluctuation that might produce statistical outliers. All data points align perfectly with the overall trend, and thus, we can establish that there are no outliers in this dataset.

In conclusion, the BYR exchange rate has remained stable over the course of five days ranging from April 15, 2024, to April 19, 2024. No significant changes were detected in this span, with no observable patterns or outliers. This signifies a period of relative stability in the forex market for the specific currency pair involved.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

The dataset given for analysis, which is time-series data of changes in Foreign Exchange (BYR) over a series of timestamps. Below is the comprehensive analysis of the provided dataset.

Understanding the overall trend of the exchange rates

Based on the data provided, the BYR exchange rate appears to be quite stable across the presented timestamps. There are no observed significant increases or decreases over the given period. Each record presents the same value of BYR exchange rate as 7.0E-5. Therefore, it can be concluded that there is a horizontal or stationary trend in the BYR exchange rate during the period under consideration.

Identifying seasonality or recurring patterns

Given the consistent nature of the exchange rate, it is fairly challenging to identify any seasonality or recurring patterns. Since the same exchange rate (7.0E-5) is maintained throughout the different time periods, there seems to be no clear seasonality or cyclical behavior in the data. However, for a more in-depth seasonal analysis, there may be a need for more variable data where changes in the exchange rate occur.

Noting any outliers

An outlier in a dataset is a value or observation that is significantly different from the other values or falls outside the overall pattern of the data. In this particular dataset, since all exchange rates provided are exactly the same, there are no outliers to report. The BYR exchange rate is consistently at 7.0E-5 across all the given timestamps, hence there's no significant deviation from the trend.

In conclusion, the analysis shows a stable BYR exchange rate over the time period indicated in the dataset. No clear seasonality or cyclical patterns are evident, and no outliers are present. For a more insightful analysis, more varied data over a longer period might be helpful. Moreover, considering specific events or external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports can also give a more holistic view of the exchange rate behavior. However, as per the provided instruction, such factors were not taken into consideration.

Recent News