East Caribbean Dollar Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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Trend

Overall Trend Analysis

Upon analyzing the timestamp compared to the XCD exchange rate, it is observed that the rate remains relatively stable over the period, with slight fluctuations of increase and decrease around what appears to be a constant value. The observed fluctuations do not present a consistent trend of increasing or decreasing over the timespan. The entirety of the dataset remains within a tight range of 0.50513 to 0.50791 and this narrow range underpins the hypothesis of a generally stable exchange rate.

Seasonality or Recurring Patterns

Within the stable exchange rate, there are indications of microscopic fluctuations that may point to a recurring pattern. For example, multiple instances of small decreases are often followed by small increases and vice versa, suggesting short-term predictability or cyclicality within the larger stability of the exchange rate. Without a larger and dilated dataset, conclusions about seasonal variations would be speculative as this data only includes one day's worth of observations.

Identifying Outliers

As per the volatility of the dataset, there seem to be no significant outliers of note. The XCD exchange rate throughout the analyzed period did not witness drastically sharp rises or large falls, which might have suggested an anomaly. All changes seem to be within the usual operating range for these types of financial assets, adhering to the stability of the exchange rate. There was a small spike experienced around 07:30, reaching a relative peak of 0.50791, however, it quickly stabilizes again.

Sourcing from the volatility of exchange rates largely stems from macroeconomic factors, such as changes in interest rates and inflation. The absence of these factors in the analysis must be considered while making any strategic decisions based on this data.

Without Considering External Factors

The dataset does not accommodate for external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. While it is critical to remember that temporal parameters often have a massive impact on exchange rates, the nature of this analysis does not account for them. Hence, considering these could potentially provide substantial insights into the reasons behind certain changes or phenomena observed in the data.

All these findings are underpinned on the notion that previous patterns will remain in future, which is not a guaranteed scenario in the ever-changing financial markets. Information derived from this dataset should be used in combination with other pillars of financial analysis for best results.

Summary of Yesterday

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Statistical Measures

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  • Standard Deviation:

Trend

1. Understanding the overall trend of the exchange rates

Based on the provided data, there is an observable, slightly upward trend in the XCD exchange rates from 0.50565 on 2024-04-24 00:00:02 to 0.50663 by 2024-04-24 23:55:02. The upward trend indicates that the exchange rate increased slightly over this period. However, the increase is minimal and suggests periods of relative stability in the exchange rates.

2. Identifying Seasonality or Recurring Patterns

In the given dataset, it is challenging to identify a clear-cut pattern or seasonality of the exchange rates solely based on one day's worth of data. Generally, identifying seasonality requires long-term data spanning across several months or years. However, there is a slight tendency for the rates to increase in the early hours of the day before peaking around midday (07:45:03 to 10:45:03). The rates subsequently appear to stabilize and then decrease in the late evening. This pattern, albeit vaguely apparent, can suggest periods of increased and decreased activity.

3. Noting Any Outliers

Outliers in this context would be instances where the exchange rate significantly deviates from the usual range of values noticed throughout the day. Based on the provided data, the rate seems to generally range between 0.50565 and 0.50800. The rate of 0.50800 at 10:45:03 seems to be the maximum value for the day and thus could be considered an outlier. This point deviates from the stability generally observed in this dataset. However, it would be necessary to analyze more data to confidently identify and understand the significance of such outliers in the exchange rate trends.

Summary of Yesterday

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Statistical Measures

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Trend

Overall Trend

Upon observing the data, it appears that the exchange rates (XCD) have generally been stable throughout this period. The values range approximately between 0.505 and 0.507. There is no consistent and drastic increase or decrease that can point towards a definitive upward or downward trend. Instead, the data fluctuates mildly around a central value indicating a fairly stable trend.

Seasonality or Recurring Patterns

In terms of seasonality or recurring patterns, this dataset does not seem to present any apparent cycles. The fluctuations seem to occur at random without a clearly identifiable pattern. It's crucial to note, however, that for a more detailed and accurate analysis, a longer series of data may be necessary. Seasonal fluctuations often occur over a longer time scale that could not be represented here. Despite this, the data in its current form does not anticipate any obvious recurring trends.

Outliers

This dataset does not contain any significant outliers. Each XCD exchange rate observed is quite close to the others and all data points fit within a relatively narrow range. This suggests that throughout the period presented by the data, there wasn't any drastic event that significantly affected the exchange rates either positively or negatively.

Keep in mind, this analysis is based on the raw data and does not take into account any external influences such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, which might affect the exchange rate. As such, for a more nuanced and detailed understanding, future analysis might consider these influences as well.

Summary of Last Month

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Statistical Measures

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Trend

Overall Trend Analysis

On initial view of the data, there seems to be a trend in the movement of the exchange rate (XCD) during the period covered. The rate initially hovered around 0.50796 at the start of the dataset but decreased over time until it reaches 0.50675 towards the end of the dataset. However, it's worth noticing that there is a fair amount of fluctuation within this overall downward trend, indicating that the rate is not decreasing at a consistent rate.

Seasonality Analysis

Understanding whether there is any seasonality or recurring patterns requires dividing the dataset into consistent intervals and analyzing any patterns within those intervals. However, based on the given dataset, no apparent intervals (e.g., daily, weekly, monthly) emerge clearly. Any claim of seasonality in the data based on visual inspection would be speculative at best. A more robust statistical analysis could potentially reveal seasonality that isn't immediately apparent.

Outlier Analysis

The data also presents occasional fluctuations where there are sudden increases or decreases in exchange rates. An example of this is the rate jump from 0.50738 at 09:45:03 to 0.50784 at 10:00:03 on 2024-04-22, with a significant dip within a short timeframe. Given the generally smooth curve of exchange rates, these instances are outliers and denote significant market events or reactions.

In conclusion, based on this dataset, the overall trend in XCD exchange rate for the given period presents a slight decrease with occasional fluctuations. Nonetheless, we couldn't discern any seasonality due to the lack of an evident interval and fluctuations. The occasional outliers in the data present instances of substantial market events.

Summary of Last Week

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Statistical Measures

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Trend

Overall Trend Analysis

The given data set represents the value of exchange rates from March 22, 2024, to April 19, 2024. During this period, the exchange rates seem to show an overall upward trend. On March 22, 2024, the exchange rate sits at 0.50186, which gradually rises to about a peak of 0.51001 on April 12, and then slightly decreases, fluctuating around 0.508 - 0.509 towards the end of the given period. Therefore, one can observe a general trend of increasing rates over this time period with some degree of fluctuation.

Seasonality and Recurring Patterns

With regard to seasonality and recurring patterns, the granularity of the data—multiple readings per day—can be used to determine patterns over the course of a day. However, based on the provided data, any declared intra-day pattern would not be accurate as the given timestamp intervals are not consistent(i.e., they are not hourly or bi-hourly). Hence, without a specific pattern in the timestamp, it's hard to comment on time-bound seasonality. Over the period under discussion, no clear, recurrent pattern emerges in the exchange rate changes. The data would need to be viewed over a longer timeline to identify any possible seasonality.

Outliers Identification

As for outliers in the data, one key point that can be noticed is the sudden increase on April 10, the exchange rate jumped from 0.50189 to 0.50501 and continued to increase towards 0.50656 within the same day. This is by far the largest single increase within such a brief period observed over the whole dataset. Another instance of a notable shift is on April 16, where exchange rate jumped from 0.51058 to 0.51119, and continued rising to 0.5117 the same day. These jumps cause these points to stand out from the otherwise more gradual changes observed.

Summary of Yesterday

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Statistical Measures

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Trend

Understanding the Overall Trend

Broadly speaking, the XCD exchange rate dataset reveals a slight upward trend over the timeline provided. This observation is primarily based on the rise from the initial rate of approximately 0.50867 to the final rate of approximately 0.50847. However, it is also noticeable that the rate fluctuates throughout, indicating that numerous minor increases and decreases compound this overall upward trend.

Identifying Seasonality or Recurring Patterns

Regarding seasonality, the dataset does not provide a clear pattern within the time frame that is provided. This lack of definitive seasonality may be due to the 24-hour nature of Forex markets that result in continuous trade, thereby minimizing effects of specific time periodicity. Since the data points are also a mix of hourly entries and with some hours missing in between, it further complicates the ability to find reliable seasonality patterns. As such, further analysis with more data might be needed to identify potential recurring patterns or seasonality.

Noting Any Outliers

From the dataset, we can see that the XCD exchange rate fluctuates around a rather narrow band. As such, any significant deviation from this band could be classified as an outlier. However, with the given data, no prominent outliers have been observed. The rates remain relatively within the range of approximately 0.508 to 0.511. The absence of significant outliers points to relatively stable market conditions during the period under analysis. However, it should be emphasized that due to the small visible range, it isn't very easy to identify outliers without a more sophisticated analysis tool or additional calculations.

Concluding Remarks

In conclusion, the analysis reveals a certain level of stability in the XCD exchange rate over the specific period in question, despite the minor fluctuations. Further analysis with more data points, extended periods, and supportive tools and techniques might give additional insights.

Summary of Yesterday

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  • 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

Upon inspection of the dataset, it is evident that the exchange rates exhibit a relatively fluctuating pattern. Although no continual increase or decrease is obtrusive, minor fluctuations can be observed throughout the dataset, which is common for exchange rate datasets. It is noteworthy to highlight that given the minor decimal changes, the fluctuations suggest a rather strong market stability for the XCD exchange rate during the period under study.

2. Seasonality or Recurring Patterns

Time-series data such as exchange rates can reflect a high degree of seasonality, however, due to the narrow range of time covered in the dataset, it is challenging to precisely pinpoint any seasonal or recurring patterns in the exchange rates. The data, which spans less than a full day, is insufficient to accurately unmask daily, weekly, or monthly recurring patterns. As such, there is a necessity for more data to unravel annual or recurring patterns conclusively.

3. Outliers or Significant Differences

As for the outliers or instances where the exchange rate is considerably deviant, a meticulous examination of the numbers suggests there are none within this data. The XCD exchange rate varies between 0.50807 and 0.51014, which indicates a rather consistent rate during the analyzed period, again highlighting the market's stability during this time frame. The fluctuations are within an expected range, hence no extreme values or outliers were detected in this specific time series sample.

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