Colombian Peso Forecast

Summary of Yesterday

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Statistical Measures

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Trend

Overall Trend Analysis

The overall trend in the exchange rates for the provided period appears to be stable. The exchange rate maintained a steady way around 0.00035 for the most part of the day with only a slight fluctuation around 13:55 towards a decrease to 0.00034, which continued until about 16:00. From there, the value increased back to around 0.00035 before slightly decreasing again to 0.00034 after 20:35 and oscillates between 0.00034 and 0.00035 for the rest of the time frame. This suggests that there isn't a clear increasing or decreasing trend throughout the day.

Seasonality or Recurring Patterns

From the available data, it does not seem there is a clear recurrent pattern or seasonality. The exchange rates appear to be fairly uniform and constant throughout different times of the day without a distinctive repeated pattern. However, some small fluctuations occur around the hours of 13:55 to 16:00, and after 20:35. They do appear repeated later but a larger dataset would be needed to confirm any specific seasonal or recurring patterns.

Identification of Outliers

From the data given, there aren't any clear outliers. Most of the exchange rate values are around the 0.00035 mark, with slight temporary decreases to 0.00034. However, these decreases can't be considered as outliers as they are close to the usual number and don't differ significantly from it.

However, it is essential to note that the identification of outliers can be more accurately done using statistical analysis and dependent on domain knowledge. That being said, from a simple examination of the provided data, there doesn't seem to be any extreme value that would qualify as an outlier.

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

Based on the data provided, the exchange rate has remained stable throughout the period shown. Every timestamp, from the earliest to the latest, shows the same exchange rate of 0.00035. This stagnancy suggests that there were no substantial changes in economic conditions affecting the value of the COP currency during this timeframe.

Seasonality and Recurring Pattern Analysis

Typically, in financial data, it's common to observe certain patterns or cyclicality corresponding with certain events such as market opening/closing, weekends, or certain times of day. However, in this dataset, no seasonality or recurring patterns are discernable. The exchange rate data is constant at 0.00035 throughout, and doesn't show any variation that would indicate a pattern.

Outliers Analysis

Given that the data presents a constant exchange rate, there are no outliers in this dataset. An outlier would be indicated by a significant deviation from the prevailing trend. Since the prevailing trend in this scenario is a complete lack of fluctuation in the exchange rate, an outlier would be represented by any degree of variation. Such variation does not exist within the provided data.

Summary of Yesterday

• Opening:
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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

Financial Analysis of COP Exchange Rates

The data provided represents the exchange rate for the COP currency over multiple timestamps. Based upon the data provided, we will proceed with a detailed analysis.

Overall Trend Analysis

Looking into the data that has been provided, it can be clearly identified that there hasn't been any discernible change in the exchange rates. For every given timestamp available, the COP exchange rate has remained constant at a rate of 0.00035. Therefore, we can deduce that throughout this period, the rates have remained stable without any increases or decreases.

Seasonality or Recurring Pattern Analysis

Pertaining to the data set given, there are no visible seasonality patterns or repetitive changing trends in the exchange rates. The absence of any variations in the exchange rate disallows the identification of seasonal effects or any recurring patterns. This consistent rate suggests that during the period in question, the market for this particular currency was quite stable.

Outliers Analysis

Given the exchange rate for the COP currency remains at 0.00035 at every timestamp, there are no outliers in the data provided. In reality, an outlier would be an instance where the exchange rate drastically increases or decreases compared to the general trend. Considering our dataset, no such instances occur. Therefore, there are notably no outliers in the data.

Concluding Remarks

As per the analysis conducted on the presented dataset, it can be noted that the exchange rate for the COP has remained flat over the period. It possesses no variability, seasonal tendencies, recurring patterns, or outliers. This dataset presents a unique case of perfect stability in the exchange rate over time.

Summary of Last Month

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Statistical Measures

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Trend

Analysis of the Dataset

Upon examining the dataset, it can be observed that it reflects time series data of exchange rates (COP) at different timestamps. It offers an insight into the fluctuations in exchange rates over a specific period of time.

1. Understanding the Trend of Exchange Rates

Examining the data, it is noted that the exchange rate remained steady over the given period at a value of 0.00035. This persistence show no apparent trend of either increasing or decreasing during the entirety of the time span covered by the data provided.

2. Seasonality or Recurring Patterns

Due to the constant nature of the exchange rate in this dataset, there is no discernable seasonality or recurring patterns to note. The value remains consistent throughout.

3. Outliers and Significant Divergences

Given the consistently maintained exchange rate of 0.00035 over the entire course of the dataset, there are no discernible outliers or instances where the exchange rate varies significantly from expectation based on trend or seasonality.

Please note, this analysis is based solely on the provided dataset. Factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, etc. are not considered as they are not reflected in the data. Also, as per your request, no forecasts for future rates have been generated.

Summary of Last Week

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Statistical Measures

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Trend

1. Overall Trend of Exchange Rates

Looking at the data, the overall trend of the exchange rates seems to be fairly stable. The value fluctuates between 0.00034 and 0.00036 most of the time. There is an increase from 0.00034 to 0.00036 around the 2024-04-04 10:00:03 timestamp, however, this increase does not seem to signify a shifting trend as the rate fairly stabilizes around the 0.00036 value thereafter. There are a few instances in which the rate drops back to 0.00035, but these instances seem to be temporary before the rate returns to 0.00036.

2. Seasonality or Recurring Patterns

As for seasonality or recurring patterns, there do not appear to be any definitive patterns in the data. There is no clear evidence of cyclic behavior related to a specific time of day or specific days of the week. There are occasional increases and decreases in the exchange rate, but nothing that aligns in a recurring or patterned framework. The behaviour does not seem to coincide with any sort of hourly or daily periodicity.

3. Outliers

Regarding outliers, there are no significant deviations from the average exchange rate that can be identified as outliers. The rate seems to fluctuate between 0.00034 and 0.00036 throughout the duration of the dataset, with no sudden or drastic changes that would classify as outliers. Accordingly, there are no major data points that significantly divert from the overall trend or pattern.

4. Limitations and Assumptions

Please note that this analysis is merely a description of the dataset and does not attempt to predict future exchange rates. It also does not consider external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports that could potentially influence exchange rates. Therefore, while the analysis provides a useful overview of the trend and patterns in the data, it is limited in its ability to explain why these patterns are occurring or to predict how they might change in the future.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Your dataset provides COP exchange rates over several days, from 2024-04-15 to 2024-04-19, with various data points per day. Based on the provided data, I will perform a basic analysis to understand its overall trends, identify any seasonality or recurring patterns, and point out any significant outliers.

1. General Trend

Overall, the time-series data shows a generally stable trend. The exchange rate predominantly fluctuates between 0.00035 and 0.00036 over the specified period. This narrow fluctuation zone suggests that the exchange rate is relatively steady during these days.

2. Seasonality or Recurring Patterns

By observing the timestamps, it can be inferred that the data were recorded almost every hour. However, due to the notable stability of the exchange rates, there is no obvious seasonality or hourly recurring pattern in this dataset. It appears that the exchange value doesn't follow a predictable pattern of rise or fall within specific hours of the day. These uniform values suggest that the exchange rate does not experience significant intraday volatility.

3. Identification of Outliers

Given that the rates only oscillate between 0.00035 and 0.00036, there are no tangible outliers within this dataset. All rates fall within the usual range, and none significantly deviate from the others. It seems that there were no significant events or anomalies that could have caused sharp surges or drops in the exchange rate during this period.

Without considering specific external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, this primary analysis seems to suggest a period of stability for the COP exchange rate. It is important to remember, though, that this is a basic interpretation based on the provided small and mostly uniform dataset; a more extensive analysis with longer data history might uncover additional trends, patterns or insights.

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

According to the data provided, the COP exchange rate has remained constant at 0.00035 across the indicated period. There is no observable trend of the rates increasing, decreasing, or experiencing any form of volatility. They remain stable at the value of 0.00035, indicating a high level of stability in the exchange rate during this time.

Seasonality and Recurring Patterns

No seasonality or recurring patterns can be identified within the data since the value of the exchange rate remains the same throughout the timestamps provided. Normally, with fluctuations in values, we could analyze the dataset for patterns recurring daily (intraday seasonality), weekdays versus weekends, or any other time-based pattern. However, given the uniformity of this data, this is not applicable.

Outliers Identification

By the standard definition, an outlier is an observation that lies an abnormal distance from other values in a random sample from a population. In this dataset, however, no outliers can be observed. Each observation of the exchange rate is the same at 0.00035. Consequently, there isn't any instance of the exchange rate differing significantly from the expected rate based on this data's trend or seasonality.

External Factors

The ask was to disregard any external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Assuming that these factors have not impacted this uniform dataset, nothing further needs to be noted. Having identical values across time is unusual in financial times series data, it implies either a very stable market environment or a lack of data resolution.

No Forecast Generated

As per your directives, no forecast for future rates has been generated from this data due to its uniform nature and the requirement not to produce such a forecast.