Dominican Peso Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Observation 1: General Trend

    The dataset demonstrates a generally steady trend for a majority of the given period. However, there are minor fluctuations observable. The exchange rate (DOP) initially remains stable at 0.02316 for about an hour and then experiences a gradual increase, peaking at 0.02319. Later, it drops slightly to 0.02315 and continues to fluctuate between 0.02315 to 0.0231 throughout the remaining period.

    Observation 2: Seasonality & Recurring Patterns

    Upon analyzing the dataset, no identifiable seasonality or recurring patterns are discernable within the provided timestamps. The exchange rates demonstrate slight volatility but don't exhibit any clear pattern that repeats at specific intervals. Thus, based solely on this dataset, it is challenging to predict the rate changes based on time.

    Observation 3: Outliers

    Throughout the dataset, no substantial outliers are detected. The exchange rates oscillate slightly, albeit not significantly to be classified as outliers. The rate does not deviate substantially from the overall trend at any point in the dataset.

    Future data needs to be analyzed to identify potential factors that could cause such variances, but these factors are not considered in this analysis, as per your instruction.

    In conclusion, while this dataset provides valuable information on past fluctuations in the DOP exchange rate, based on the current analysis, specific future forecasts may be challenging owing to the lack of clear seasonal trends or recurring patterns.

Summary of Yesterday

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Statistical Measures

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  • Trend

    Overall Trend of The Exchange Rates

    The exchange rates provided in the data seem to be relatively stable over the given time series. There were slight increases and decreases throughout, but the rates generally hovered around 0.02316. This suggests a relatively stable currency market for this particular time period.

    Seasonality or Recurring Patterns in The Change of The Exchange Rates

    The data does not indicate any clear seasonality or recurring patterns in the change of the exchange rates. There are no specific times when the rates consistently increase or decrease. However, more detailed time series analysis or modeling might reveal subtle patterns not immediately evident from a general overview.

    Outliers in the Dataset

    From the overview of the data, there do not seem to be any significant outliers where the exchange rate differs dramatically from expected based on the trend. Again, a more detailed statistical analysis might reveal subtle outliers not immediately noticeable from visual inspection of the data.

    Notes on the Conditions of The Analysis

    • The analysis does not consider the impact of market opening/closing hours, weekends/holidays, or the release of key financial news and reports.
    • Moreover, the analysis also does not provide any future forecast for exchange rates, as it was explicitly requested not to do so.

    Summary

    In conclusion, this analysis provided a basic overview of the exchange rate trend, without diving into more complex time series analysis or forecasting models. For a more comprehensive understanding of the rates and their movements, further in-depth analysis and modeling would be beneficial.

Summary of Yesterday

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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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    Comprehensive Analysis of the Dataset

    The provided dataset is a time series data, indicating the changes in an unidentified exchange rate at different time intervals.

    1. Understanding the Overall Trend

    From a high-level view, the exchange rate seemed to be quite stable with minimal changes in values. However, a micro-analysis would reveal a very slow but steady upward trend. The data suggests that the rate stayed around 0.02297 for a significant period and then slightly increased to around 0.02298 and so on. These changes are very minute but consistent, hence depicting a mildly increasing trend.

    2. Identifying Seasonality or Recurring Patterns

    It is important to flga that the series data needs to be plotted to understand seasonality aspects visually. From the dataset, it is not immediately apparent if there are recurring patterns or seasonality because the gaps between timestamps are not even. Hence, this dataset does not seem to exhibit strong signs of seasonality in the exchange rates. However, this could change with a more diverse set of data or finer time intervals.

    3. Noting Any Outliers

    From a glance, no significant outliers are noticed in the dataset. The exchange rate data appears to be quite stable and consistent throughout the sequence. This signifies a generally stable period for this currency without significant volatility. However, for a more precise outlier detection, statistical analyses like the Z-score or the IQR interquartile range method should be applied.

    In conclusion, the provided dataset mainly represents a period of slight and steady increase in exchange rates, possibly due to stable market conditions or controlled forex interventions. Nonetheless, for a broader and more in-depth analysis, a larger dataset would give more meaningful insights. Furthermore, while this analysis was conducted without considering market hours or key financial news/reports, these factors indeed play a crucial role in forex rates and should be considered for a comprehensive study

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Summary of Last Week

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Statistical Measures

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    Trend Analysis

    The given time series data demonstrates a generally stable pattern in the exchange rates. There is a very slight increase in values from around 0.0228 to 0.0232 within the given timeframe, indicating an upward trend. However, the change is quite modest and overall, the rates appear not to have significant fluctuations or a dramatic increase or decrease.

    Seasonality and Recurring Patterns

    In terms of seasonality or recurring patterns, given that the data only spans from January 26 to February 23 within the same year (2024), it's challenging to rigorously determine any annual or semi-annual patterns. Nonetheless, no explicit recurrent pattern within this one-month period is observed from the provided dataset.

    Data Outliers

    Regarding potential outliers, there are no extreme variations or values deviating drastically from the general trend. All the values are clustered between approximately 0.0227 and 0.0232 and no noticeable spikes or plunges are seen within the given time period. Thus, we can conclude that there are no significant outliers present in this data.

    Limitations

    Please note that this analysis does not consider any particular external elements such as market opening/closing hours, weekends/holidays, or any release of crucial financial news and reports. Therefore, results could potentially vary should these factors come into play.

    Conclusion

    In summary, the DOP exchange rates during the provided timeframe are relatively stable with a very modest upward trend and no significant anomalies. They don't exhibit a clear seasonal pattern within this period too. As for outliers, there are no instances of rates that significantly diverge from the expected data based on the current trend.

Summary of Yesterday

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  • Difference of Daily High & Low:

Statistical Measures

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  • Trend

    Understanding the Overall Trend of the Exchange Rates

    From a cursory examination of the data, the overall exchange rate trend appears to be relatively stable. There are slight fluctuations throughout, with the exchange rate oscillating from a low of 0.02289 to a high of 0.02311. However, these changes are very slight, suggesting that over the period provided, the exchange rates have remained relatively consistent. There is no clear trend of significant increase or decrease in the rates over the period shown.

    Identifying Seasonalities and Recurring Patterns

    The data does not indicate any strong seasonality or recurring patterns. The values do not seem to exhibit specific regular or predictable changes which could be attributed to specific times. However, a more thorough analysis could be performed using periodicity detection techniques to verify if there are underlying patterns that can be extracted.

    Outliers in the Exchange Rates

    With regard to outliers, the exchange rates do not show any significant change that could be classified as an outlier. Most of the changes from one timestamp to the next are relatively small, suggesting no cycles of substantial appreciation or depreciation of the exchange rate. Any slight increases or decreases in the exchange rates could likely be attributed to general market volatility and do not deviate significantly from the general trend observed.

    Please note that while the data does not explicitly show any patterns related to external factors such as market opening/closing hours, weekends/holidays, or the release of financial news and reports, it does not mean that these factors do not impact the exchange rates. These external factors can significantly influence currency exchange rates, potentially leading to observable trends over a longer time period or during specific intervals. However, as per the goal of the analysis, these factors were not considered in this provided assessment.

Summary of Yesterday

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  • Difference of Daily High & Low:

Statistical Measures

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  • Trend

    Overall Trend Analysis

    The overall trend of the exchange rates appears to be largely stable throughout the period shown in the dataset. The rate begins at 0.0229 at the start of the dataset and ends at around 0.02296. Although there are fluctuations throughout the period, these changes are relatively minor - within the scale of 0.00001 to 0.00007. There are periods of slight upward or downward movements, but these are quickly corrected back to the general level of stability. This suggests that the overall trend of the exchange rates is static, without significant increases or decreases.

    Seasonality

    When it comes to seasonality or recurring patterns, it is hard to make a definitive assessment based on the data provided. The data points are taken at 5-minute intervals, and the dataset covers a period of less than 24 hours. This makes it difficult to observe daily patterns, let alone patterns that occur over longer periods such as weeks or months. However, within this restricted view, there doesn't appear to be significant seasonality. The exchange rates experience minor fluctuations but do not reveal an evident recurring pattern within this 24-hour period.

    Outliers

    Due to the stability of the data, there are few prominent outliers. The most notable deviations from the norm are the slightly larger increases in the exchange rates that occur around 09:15:03 and 10:20:03. However, these fluctuations are still quite small, within the range of 0.00002 - 0.00003. It's also important to note, these are quickly corrected, returning to the general level shortly afterwards. Thus, even the largest fluctuations in this dataset can hardly be considered dramatic outliers due to their small magnitude and quick correction.