Guyana Dollar 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

Data Analysis

Looking at the given data set which is ranging from 2024-04-25 00:00:02 to 2024-04-25 23:55:02, it indicates a 24-hour time period for the GYD exchange rate.

Overall Trend Analysis

The exchange rate started at 0.00655 at midnight and ended at 0.00653 before midnight indicating a slight decrease in the rate over 24 hours. The highest rate appears to be 0.00656 and it is observed at 08:10 till 09:10 after which it drops to 0.00655. The lowest rate observed in this data is 0.00652 at 14:30 but it immediately rose back to 0.00653. These values suggest that the rate has been fluctuated throughout the day but has stayed in a vicinity of the starting rate without any major increases or decreases.

Seasonality or Recurring Patterns

From the data, there are no clear recurring patterns observed. The rates, though mostly consistent, shown reasonable fluctuations throughout the day. However, a minor notable pattern can be pointed out, there is a small, repeated increase and decrease 'wave-like' pattern appearing from 06:05 to 08:20 and again from 11:50 to 13:00 and so forth, but this is not a strong pattern and could be due to normal market volatility.

Detection of Outliers

Although there were fluctuations in the exchange rates throughout the day but the range of these fluctuations was very narrow (0.00652 - 0.00656). No significant outliers were detected in the given data set. The rate of 0.00652 could be considered as a minor outlier but it quickly corrected itself back to 0.00653.

To summarize, the overall trends suggest a generally stable exchange rate with minor fluctuations throughout the day.

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

The data provided shows the exchange rates at different timestamps throughout the day. From a superficial observation, it seems that the exchange rate values for GYD are somewhat stable, hovering around the 0.00655 rate. The marginal fluctuations that occur don’t exhibit a definitive or clear upward or downward trend.

Seasonality or Recurring Patterns

Given the data observed, it is hard to detect any recurring seasonality or patterns within this 24-hour time frame. The data provided is for a single day and a comprehensive seasonality analysis usually requires a longer time series dataset.

Detection of Outliers

There are no significant outliers seen in this dataset. All values of the exchange rates remain within an expected range of 0.00653 and 0.00658. The consistency indicates that there are no events within this timeframe that significantly impact the rates.

Note:

Please note that without sufficient external context, it is difficult to provide a deeper insight into the reasons behind these observed patterns. While specific events weren't taken into account in this analysis, such factors can have a significant influence on exchange rate trends.

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 Exchange Rates

Upon evaluation of the provided dataset, the overall trend of the exchange rates (GYD) seems moderately stable with a slight increase over the observed time period. The exchange rate began at 0.00655 and experienced very minor hikes to end up at 0.00657 by the end of the specified period. However, there is no severe volatility observed, hence we can conclude that the exchange rate has remained more or less stable with a marginal upward trend.

2. Seasonality or Recurring Patterns

The provided dataset does not cover an extensive period to clearly establish seasonality or cyclical patterns. However, within the given duration, there doesn"t appear to be a specific time of the day when the exchange rate shows a considerable increase or decrease. Micro-level fluctuations can be seen throughout the dataset at different intervals, although the pattern of these changes is not very clear in the given timeframe.

3. Outliers Detection

The highest exchange rate observed in this dataset is 0.00657 and the lowest is 0.00654. There seem to be no noticeable outliers in the dataset as the exchange rate values do not deviate significantly from the mean, which suggests the trend has been quite stable. However, it is essential to note that in a real-world scenario, there could be multiple factors that influence outliers in exchange rates. These factors could include market behaviour, geopolitical events and many others. Since external factors are not considered in this analysis, the absence of significant outliers can be attributed to the limited timeframe and general stability of the exchange rates during this specific period.

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

1. Overall Trend of Exchange Rates

From the initial analysis of the dataset, it is determined that the exchange rate of GYD appears to be relatively stable throughout the period under consideration. Initially, GYD starts at a rate of 0.00657, fluctuate to 0.00656, 0.00655, and 0.00654, and finally reaching 0.00655. These fluctuations (both increases and decreases) are minor, and the exchange rate consistently hovers around 0.0065, indicating a relatively stable trend without any dramatic increase or decrease in the exchange rates throughout the time span provided in the dataset.

2. Seasonality or Recurring Patterns of the Exchange Rates

At an initial glance, there doesn't seem to be a noticeable seasonality or reoccurring pattern in the exchange rate data. The exchange rate values primarily teeter between 0.00657 to 0.00654, and the changes between them are gradual and appear to be random rather than following a specific, recurring pattern. Therefore, it can be inferred that the dataset does not exhibit a clear cyclical trend or seasonality based on the timeseries data provided.

3. Identification of Any Outliers

Given that the variation range of the GYD exchange rate is very small (between 0.00654 and 0.00657), it does not appear to have any significant outliers in this dataset. An outlier would be represented by a rate that substantially deviates from this range, and nothing of that sort is evident in this data. Since the data consistently remains within this tight range, we can infer that the rates are following a normal pattern without any significant anomalies or outliers.

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

The data provided is a representation of the gyd exchange rates for certain timestamp entries. The first step towards understanding it is to analyze it based on the provided timestamps and their corresponding exchange rates.

Overall Trend

The overall trend of the gyd exchange rates seems relatively stable with minor fluctuations. The exchange rate starts at a value of around 0.00648 and ends in a similar range. However, there are certain instances where minor increases and decreases can be noticed.

Seasonality or Recurring Patterns

By observing the data, it is difficult to pinpoint any notable recurring pattern or seasonality in the gyd exchange rate trends. The rates experience sporadic fluctuations throughout the provided timestamps rather than repeating any distinct pattern directly linked to a certain timeframe. This suggests that the gyd exchange rates might be more influenced by a multitude of factors and not just time.

Identifying Outliers

There do not seem to be any significant outliers in the provided data set. Most of the values fluctuate around a mean, with no drastic spikes or drops observed.

Conclusion

In conclusion, the gyd exchange rates maintain a general level of stability-over-time with minor fluctuations. It is difficult to identify a clear seasonality pattern within this dataset. While there are several ups and downs in the exchange rates, none deviate significantly from the overall trend, indicating the absence of clear outliers. Any variations observed are minor and they do not disrupt the overall stability of the rates.

Please note that this analysis is purely based on the provided data set and does not consider additional temporal factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, which can have significant impacts on 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 of Exchange Rates

The overall trend of the data indicating slight fluctuations within a short range. The range is between 0.00654 and 0.00661. This suggests that the exchange rate remained relatively stable over the period shown with minor increases and decreases. No substantial upward or downward trend is discernible from the data provided.

Seasonality and Recurring Patterns

From the data provided, it's challenging to conclusively identify any recurring patterns or seasonality since the fluctuations between the highest and lowest points are relatively minor. However, based on the narrow range of variation, it is safe to assume that the exchange rate fluctuations do not have significant seasonality.

Outliers Analysis

In this dataset, outliers are not easily identifiable due to the relatively steady state of the exchange rate. However, the lowest exchange rate, 0.00654, and the highest exchange rate, 0.00661, could potentially be seen as minor outliers. Still, they do not differ significantly from the general range of the exchange rate as observed during the period covered by the dataset.

Other Remarks

External factors such as market opening/closing hours, weekends/holidays, release of key financial news and reports can significantly impact exchange rates. This analysis has not considered these factors, pursuant to the instructions provided. However, it's always crucial to remember these possible external influences when interpreting exchange rate 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

Understanding the Overall Trend

From an initial review of the dataset, the GYD exchange rate appears generally stable over the period shown. Starting at 0.00656 at the beginning of the period, the exchange rate shows only minor fluctuation with a slight decrease to 0.00655, followed by a slight increase to 0.00658. There are no major jumps or drops in the rate.

Identifying Seasonal or Recurring Patterns

Due to the consistent stability in the data and minor fluctuation, it is difficult to identify any strong seasonal or recurring patterns in the exchange rate solely based on the provided dataset. Though there are minor ups and downs in the rates, no significant pattern is easily identifiable.

Noting Any Outliers

Given the generally consistent exchange rates and lack of major changes over the period shown, there do not appear to be any significant outliers or instances where the exchange rate significantly deviates from the overall trend.

Conclusion

The exchange rate for GYD for the time slot given is relatively stable with only minor deviations. There are no identified patterns of seasonality, nor any significant outliers. While unforeseen or unconsidered factors may influence these rates, based on the provided dataset alone, this analysis gives an understanding of the rate's behavior during this period.

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