Zimbabwe 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

    1. The overall trend of the exchange rates

    From the dataset, the overall trend of the exchange rates (ZWL) appears to be stable over the period shown. The rate seems to fluctuate slightly between 0.00421 and 0.00422 but does not exhibit any notable increase or decrease trend throughout the period. Given the small magnitude of these fluctuations, it is reasonable to say that the rate is generally stable.

    2. Seasonality or recurring patterns in the changes of exchange rates

    There doesn't appear to be clear seasonality or recurring patterns in the dataset. The exchange rate retains a value of either 0.00421 or 0.00422 at almost all timestamps, with only minor fluctuations between these two rates. These fluctuations don't seem to follow a regular or recurring pattern over the day, and as such, it's hard to establish any seasonality based on the data.

    3. Outliers in the exchange rates

    In this context, an outlier would be a value that significantly deviates from the typical range of 0.00421 and 0.00422. No such outliers are present in the data provided, indicating that volatility during this period was very low.

    Despite the simple nature of the data, it’s important to further consider factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports to deepen the understanding of this exchange rate trend. However, since the analysis request dictates not to consider these factors and no forecasts are to be generated, the data is considered solely on its own.

    Please note that while this analysis provides useful insights, it does not constitute financial advice. Always conduct your own research or consult with a financial advisor before making investment decisions.

    Also, this analysis is performed on a snapshot of data, and it's worth noting that exchange rates can be influenced by a multitude of factors which are not captured in this data set. Therefore, real-world fluctuations may be more erratic and less predictable than those outlined here.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

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

    Data Understanding

    On inspection of this dataset, it appears that we have a continuous set of time series data for the ZWL foreign exchange rate, taken at approximately five-minute intervals throughout each day. This dataset captures exchange rate data for a single day (26th February 2024). Therefore, seasonality may be difficult to determine given that there is only a single day's snapshot. However, one can still examine the trend for the day in question.

    Overall Trend Analysis

    Due to the format of the dataset given in this question, it is difficult to draw firm conclusions. However, in terms of the ZWL exchange rate, a detailed examination indicates that it remains relatively constant over the day. The rate is consistently at 0.00419 to 0.00420 during the recorded timestamps with only minor variations. For thus, one might infer the trend of the ZWL exchange rate on this given day is relatively stable.

    Seasonality/Recurring Patterns

    In the context of the provided data, while it is difficult to identify exact recurring patterns or seasonality in the given single day's data, it can be observed that the exchange rate remains relatively steady during the entire course of the day, with no significant upward or downward movements. It suggests a lack of detectable intraday seasonality for this particular day.

    Outliers Analysis

    As the ZWL exchange rate largely remains stable and does not show a significant upwards or downwards trend within the contained day, there seem to be no significant outliers within the provided dataset. This means there are no instances where the exchange rate deviates significantly from the central trend.

    In conclusion, while conducting a deeper analysis such as establishing a definitive overall trend, identifying recurring patterns or seasonality, and noting any significant outliers would require a larger or more varied dataset over a more extended period, certain tentative observations can be made based on the single day's snapshot provided here.

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

    Analysis of Dataset

    Before we begin our analysis, it's important to highlight that our examination is limited to the data provided and won't take into account external factors that might influence the exchange rate such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports.

    Understanding the Overall Trend

    After analyzing the time series data, it's apparent that the exchange rates of ZWL remain relatively stable throughout the period under observation, with minor fluctuations. The exchange rate starts at around 0.00418 and ends at approximately 0.00419, indicating minute, but not necessarily significant, appreciation in the value of the currency.

    Seasonality or Recurring Patterns

    When it comes to identifying any seasonality or recurring patterns in the changes of exchange rates, the data appears to exhibit no clear seasonal pattern. The fluctuations in exchange rates occur quite sporadically with no discernible rhythm, suggesting that the changes may be influenced by stochastic factors that are not captured within this dataset.

    Outliers in the Dataset

    Based on the dataset provided, there's mild instance where the exchange rate goes beyond expected limits. Most variations deviate very little from the predominant rate of 0.00418. However, on 2024-02-13, the rate reaches up to 0.00422, which, while not a substantial deviation, stands out in comparison to the overall stable trend across the dataset.

    This data-driven analysis has tried to provide insights into the primary trends, patterns and outliers within the dataset. However, the complexity of currency exchange markets cannot be sufficiently explained solely with this data and so it is advised that the analysis be complemented with wider market information for deeper understanding.

    Note

    This analysis relies only on the dataset provided and does not consider the potential impact of numerous external factors like market trends, financial policies, or geopolitical events. Providing more context or additional data could help generate a more comprehensive understanding of the ZWL exchange rate variation.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Summary of the dataset

    The dataset you have provided is time series data representing the zwl exchange rate's changes over time, specifically from 2024-02-19 to 2024-02-23, a total of five days. The provided data fluctuates between 0.00418 and 0.0042.

    Understanding the general trend of the exchange rates

    The overall trend in this dataset is essential to comprehend as it shows the primary flows of the exchange rate. After studying this data, a few observations can be made:

    • Generally, the zwl exchange rate is relatively stable during this period, with very minor fluctuations.
    • Although there are slight increases and decreases, the exchange rate tends to oscillate around 0.00419 consistently during these five days.
    • The highest exchange rate, 0.0042, occurred intermittently and not in a continuous timeframe.
    • The lowest exchange rate, 0.00418, doesn't show a particular pattern and seems to be appearing outlier.

    Identifying seasonality or recurring patterns

    Upon examining the dataset for patterns or seasonality:

    • There doesn't appear to be a clear recurring pattern within this dataset for these five days. The data seems to be more stochastic with no apparent tidal or seasonal adjustments.
    • Because the dataset only spans for a short period, it's limited to detect any weekly, monthly, or yearly seasonality factors might exist if the data scope is larger.

    Identifying outliers

    An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. Noted in this dataset:

    • The dataset seems relatively stable with minor variance and thus doesn't present significant outliers.
    • The exchange rate's very slight rise to 0.0042 and fall to 0.00418 could be considered as minor outliers, but they are still very close to the average and didn't sway from the normal range.

    To sum up, the five-day zwl exchange rate data is relatively consistent and stable, with minor fluctuations and no significant outliers. The limited timeframe makes it challenging to identify any seasonal or recurring patterns definitively. However, the consistency of the exchange rates suggests there is little volatility in this period.

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

    Firstly, looking at the general trend over the period of the data, the exchange rates (ZWL) largely remain stable. The rates hover around 0.00419 for the majority of measurements taken, with minute variations that seem consistent throughout.

    Seasonality or Recurring Patterns

    Upon analyzing the time series data, there isn't a clear presence of seasonality or recurring pattern in the exchange rates. The changes in rates show no considerable shifts in association with specific times or seasons

    Outliers

    There are instances of minor fluctuations, dropping to 0.00418 at times, although these can be considered as part of the natural noise in the data and not exactly outliers. In the context of the entire data, these instances do not diversify significantly from the norm or expected trend. Therefore, no significant outlier in the dataset.

    Given the stable nature of the rates throughout and lack of clear seasonal patterns, external factors such as market opening/closing hours, weekends/holidays, or releases of key financial reports don't appear to have a notable impact on the exchange rates within the scope of this dataset.

    Note: The analysis is conducted purely on the provided data and does not generate any forecast for future rates. Moreover, any specific events or external factors are not considered as per the provided instructions. The exchange rate data is consistent and persistently stable. Therefore, any minor fluctuations are interpreted as part of natural data noise rather than significant changes or outliers.