East Caribbean Dollar Forecast

Not for Invesment, Informational Purposes Only

Summary of Last Week

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Statistical Measures

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Trend

Summary of Yesterday

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

Statistical Measures

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Trend

1. Overall Trend

The overall trend of the XCD exchange rates from this dataset appears to exhibit slight fluctuation but remain relatively stable. The highest rate is approximately 0.50829, and the lowest rate is around 0.50485. This shows there is a small range of change, indicating a relatively stable trend.

2. Seasonality or Recurring Patterns

Due to the short time frame of the data (from 2024-04-22 to 2024-04-26), it's challenging to determine any clear seasonality or recurring patterns in the exchange rates. Typically, seasonal patterns in financial data can be related to known repetitive events that happen annually (e.g., four financial quarters, holidays, etc.) and would need more extensive and longer-term data to be identified effectively.

3. Outliers

From the data provided, there does not appear to be any significant outliers or instances where the exchange rate differs drastically from the general trend. The data presents rates that are clustered around a similar range, and there does not seem to be any major spikes or drops within the given range.

4. Additional Information

  • The data appears to be high-frequency data, possibly hourly, as there are multiple data points for each particular day. A deeper analysis could reveal patterns during specific times within a day.
  • If provided more data over a longer time period, a more comprehensive analysis can be performed to detect trends, seasonality, cyclicality, and other components of time-series analysis.

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

Looking at the dataset, there appears to be a mixed trend in the XCD exchange rates during the period that this data covers. The exchange rate at the beginning of the period was approximately 0.50518 and it seems to be fluctuating within a small range throughout the recorded timestamps. However, towards the end of the period the rate shows a slight increase as the closing rate is about 0.50565. Please note that while this could suggest a slight upward trend, the difference is not significantly high to ascertain a clear trend over this period.

Identifying Seasonality

Time series data often displays seasonality, or recurring patterns, due to known external factors such as market hours or financial news. In this case, without including external factors as instructed, it is challenging to discern any clear seasonal pattern in this data. The exchange rates show fluctuations throughout but there is no discernible pattern in the values that appear to repeat at regular intervals. This could be due to the short snapshot of time we are analyzing that may not be large enough to capture any longer-term seasonal trends.

Outliers in the data

There don't appear to be significant outliers in this data. The XCD exchange rate generally stays within a small range, with a minimum recorded rate of approximately 0.50463 and a maximum of around 0.50668. This suggests that the rate during this period is stable, and there are no major peaks or drops that would indicate an outlier. This consistency could be due to various factors, including consistent demand and supply in the market, and little to no volatile news or changes that could affect the market conditions during this period.

It is important to note that this analysis is based on a limited snapshot of time, and trends, seasonality, and outliers could be more accurately assessed with additional data or over a longer period of time.

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 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

  • 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 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

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

Statistical Measures

  • Mean:
  • Standard Deviation:

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

Statistical Measures

  • Mean:
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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.

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