Guinea Franc Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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Trend

Comprehensive Analysis of the Time Series Data

On an initial observation, the entire dataset reveals an extremely consistent exchange rate with the value of 0.00016 across the given timeframe. It appears that the rate remains entirely unchanged from the start until the end, and there does not appear to be any variation, whether during different times of the day or on different dates.

1. Understanding the Overall Trend of Exchange Rates

Given the consistency observed in the dataset, we can conclude that the exchange rates trend largely remains stable throughout the given timeframe. There is no visible increase or decrease in the rate; it is maintained at a steady 0.00016. This pattern is unusual for typical exchange rate data, which usually fluctuates due to a variety of factors such as supply and demand, inflation rates, interest rates, etc.

2. Identifying Seasonality and Recurring Patterns

Since the exchange rate is consistent throughout, there is no discernible seasonality or recurring pattern. The exchange rate does not alter as per different times of the day or month. This absence of seasonality itself can be considered a pattern in this case.

3. Noting any Outliers

Given the constancy of the exchange rate, no outliers can be identified within this dataset. For a value to be considered an outlier, it would need to deviate significantly from this consistent rate. But since all the rates recorded remain at 0.00016, there are no such deviations observable in the data provided.

In conclusion, for the given dataset, the exchange rates remain incredibly stable with no observable fluctuation, seasonality, or outliers present.

Summary of Yesterday

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Statistical Measures

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Trend

Analysis of the Provided Exchange Rates Dataset

The provided dataset represents the exchange rates (GNF) at different timestamps. Analyzing the dataset can provide valuable insights into the overall trend of exchange rates, identify potential patterns, and observe any unusual values that could signify outliers.

Overall Trend in the Exchange Rates

An analysis of the dataset reveals that the exchange rates have remained consistent throughout the period covered by the dataset. The value of the GNF appears stable, maintaining a constant value of 0.00016 at every timestamp in the dataset. This constant rate suggests a period of stabilized exchange conditions during this timeframe. No signs of significant inflation, deflation, or erratic fluctuations in the value of the currency were observed.

Identifying Seasonality or Recurring Patterns

Given that the exchange rates remain consistent throughout the time series provided, there's no evidence of any notable seasonal or recurrent patterns in the dataset. The absence of variability during this period suggests that the exchange market for GNF remained steady and did not go through any predictable cycles or patterns based on the time of day, week, or month.

Outliers and Significant Observations

As the GNF exchange rate remains constant at 0.00016 for every recorded timestamp, this dataset contains no outliers. All observed exchange rates are identical; thus, no exchange rate differs significantly from the general trend. Given the uniformity observed in the dataset, it is concluded that the market conditions represented in this dataset were stable and consistent, allowing the GNF to maintain an unwavering exchange rate.

In conclusion, the exchange rates were stable during this period, with no observable fluctuation. The lack of variation suggests a steady and resilient economy during these timestamps. However, it's essential to cross-check this analysis with other economic indicators for a comprehensive understanding of the GNF exchange market during this period.

Summary of Yesterday

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Statistical Measures

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Trend

Based on the provided dataset, I'd like to highlight that all the exchange rate values are consistent and equal ("0.00016"). Therefore, I will conduct the analysis with this assumption.

1. Analysis of Overall Trend:

The overall trend for the exchange rate between the given period is stable as the rate remained constant at "0.00016". There is neither an upward nor downward trend observable during this time period.

2. Seasonality and Recurring Patterns:

Given that the exchange rate remains the same throughout the dataset, there is no apparent seasonality or recurring pattern that can be discerned from this data.

3. Outliers:

As the dataset shows a constant exchange rate of "0.00016", there are no values that deviate from this rate. Consequently, there are no outliers in this dataset.

In conclusion, the provided dataset shows that the exchange rate remains steady over time with no observable variances. This may suggest a highly stable financial environment within the observed time.

Summary of Last Month

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Statistical Measures

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Analysis of the Given Dataset

Upon analyzing the data provided, it quickly becomes apparent that there is an extremely stable trend in the exchange rates.

1. Overall Trend of Exchange Rates

The exchange rate value for GNF is consistent at 0.00016 throughout the given period. Consequently, there is no noticeable increase or decrease over the specified timeframe. Given this, we can say that the exchange rate is stable without any significant fluctuations.

2. Seasonality or Recurring Patterns

Since the exchange rate is consistently at 0.00016 and does not vary, it is not possible to identify any clear seasonal or recurring patterns in this dataset. However, generally, in financial data of this nature, one might look for patterns based on factors such as opening/closing of markets, special events, or changes in economic policy. Still, these factors don't seem to have any significant impact on this particular dataset.

3. Outliers in the Data

In this dataset, there are no instances where the exchange rate deviates from the 0.00016 value. As such, we can conclude that there are no outliers in this dataset based on the values provided. Any significant deviation from this consistent value of 0.00016 would be considered an outlier, but there is no such value present here.

Overall, this dataset shows a very consistent and stable set of exchange rates without any discernible fluctuations, seasonal patterns, or outliers.

Summary of Last Week

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Statistical Measures

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Trend

The data set provided is time-series data of exchange rates (GNF) at various timestamps. The data range from 22 March 2024 to 19 April 2024. It is important to note that the analysis carried out is context-free, meaning that no external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports are taken into account.

1. Overall Trend Analysis

The overwhelming majority of the exchange rate data points sit at 0.00016. This is consistent throughout the time period in question, indicating a highly stable exchange rate. However, on 16 April 2024, there is an anomaly where the exchange rate doubles to 0.00032 - this is the only instance in the data set where the exchange rate deviates from 0.00016. Aside from this, the rates remain constant, suggesting a strong steady state without any visible increasing or decreasing trend over the given period.

2. Seasonality and Recurring Patterns

Given the very stable nature of this exchange rate data, it's challenging to identify any seasonality or recurring patterns. However, it is noteworthy that the spike to 0.00032 observed on 16 April 2024 occurs during a 14:00 timestamp. There are no recurrent fluctuations or obvious patterns associated with specific times or dates, and the rest of the rates consistently remain at 0.00016 throughout all times of the day and week. Therefore, no identifiable seasonality or regular patterns can be discerned from the provided data.

3. Outliers

The only outlier in this data set is the datapoint on 16 April 2024 at 14:00, where the exchange rate doubles to 0.00032. This is significantly different from all other data points recorded during the period of observation. All other recorded exchange rates remain consistently at 0.00016, making this singular datapoint a clear anomaly in the data set. This outlier does not follow the overwhelming prevailing stability of the exchange rate and significantly diverges from the expected rate based on the steady trend observed.

Summary of Yesterday

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Statistical Measures

  • Mean:
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Trend

Comprehensive Data Analysis

1. Overall Trend of Exchange Rates

From the data provided, it is apparent that the exchange rate of GNF remained stable at 0.00016 for most of the timestamp. This suggests a stable and steady currency exchange market during this period. This consistency persisted throughout the dataset, with the single exception for one timestamp where the GNF exchange rate doubled to 0.00032. This outlier may warrant further investigation as it breaks from the overall trend.

2. Seasonality or Recurring Patterns in Exchange Rate Changes

Looking at the data, no obvious seasonality or recurring patterns can be observed in the changes of exchange rates. Due to the consistent trend of 0.00016, it would appear that the exchange rate for GNF does not exhibit regular fluctuation — hourly, daily, or otherwise — during the period covered by the dataset. However, this conclusion can only be ascertained with more substantial data for a more extended period.

3. Outliers in the Dataset

In this dataset, there is one noticeable outlier where the GNF exchange rate deviates from 0.00016 to 0.00032. This occurred at the timestamp '2024-04-16 14:00:03'. This sudden spike doubles the usual rate, making it highly significant. However, it is an isolated event within these data and hence may not be indicative of a trend. Such drastic fluctuations usually warrant further investigation as they might be the result of unusual market activities or data recording errors.

Conclusion

In conclusion, the analysis shows a generally unchanging exchange rate for GNF over the given data range with one notable exception. As mentioned, this kind of analysis entails a more comprehensive time range for a definitive conclusion about potential patterns, seasonality, or outliers. These findings have not considered any external factors such as economic news or market conditions, which can also have an impact on exchange rates.

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. Understanding the overall trend of the exchange rates

Based on the provided dataset, the exchange rate of GNF has remained constant at 0.00016 throughout the duration under review. There is no noticeable increase or decrease in the rates. The value only fluctuates between different timestamps, but essentially remains the same. Thus we can infer that the trend of the exchange rates is stable over the given period.

2. Identifying any Seasonality or recurring patterns

With respect to the seasonal aspects or recurring patterns, since the data provided doesn't show any variations in the rate, no particular pattern or seasonality could be identified from this dataset. The exchange rate remains consistent irrespective of the time of the day or any given day.

3. Noting any Outliers

In the context of this dataset, since all the exchange rate values are constant at 0.00016, there are no deviations or outliers. No instance of the exchange rate differed significantly from the common trend. All the values are consistent and very much aligned with the overall trend.

To add further analysis, it would be helpful to have a broader dataset that displays more variation in the exchange rates. This would allow for an analysis that can potentially reveal trends, recurring patterns, or outliers that may be present but aren't discernible with the current dataset. Additionally, although you've asked for external factors like market hours and financial news not to be considered, these factors can often have significant impacts on exchange rates and could shed further light on potential reasons behind the constant rates observed.

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