Guinea Franc Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Analysis of GNF Exchange Rate

    Based on the dataset provided, there are several observations we can make:

    1. Overall Trend

    The values for the exchange rate recorded in the dataset are constant at 0.00016. Therefore, there doesn't appear to be any noticeable trend of increase or decrease in the exchange rates from this data. The rates remain stable over the period shown. There is no volatility in this currency pair based on this dataset.

    2. Seasonality or recurring patterns

    As the values remain constant throughout, there is no discernible seasonality or recurring pattern in this dataset. The data does not exhibit any predictable fluctuations that could suggest a pattern tied to specific times or seasons.

    3. Outliers

    From the constant dataset provided, no outliers are present as there are no instances where the exchange rate differs significantly from the stable value of 0.00016. To identify outliers, we would need to see significant deviations from the prevailing pattern, which is not the case here.

    In conclusion, based on the dataset and within the given constraints (no consideration of specific events or external factors, and no forecast generation), the GNF exchange rate appears to remain constant at 0.00016 over the time range covered by the dataset. This implies a high degree of stability for the currency pair within this specific timeframe.

Summary of Yesterday

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Statistical Measures

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    Analysis of Time Series Data for GNF Exchange Rates

    The data provided represents the GNF exchange rates in a timestamp form. It is a comprehensive record illustrating the volatility and change in exchange rates over a substantial period. The structured investigation is directed to perceive the overall trend, identify any recurring patterns, and mark outliers, if any.

    1. Understanding the overall trend of exchange rates

    The data provided displays the GNF exchange rate with a constant value of 0.00016 at different timestamps. There has not been any significant fluctuation in the exchange rate, meaning the value has remained steadfast and stable throughout the duration shown in the data. Therefore, the overall trend of these exchange rates can be categorized as stable without any noticeable increase or decrease.

    2. Identifying any seasonality or recurring patterns

    With regards to seasonality or recurring patterns, the dataset does not provide any evidence of such manipulation. The influence of different seasons or recurring patterns on this stable exchange rate is not discernable from the dataset. It remains constant at 0.00016 throughout every timestamp provided, indicating a lack of identifiable seasonal or cyclical influences.

    3. Noting any outliers

    Outliers refer strictly to those unexpected or extreme values that deviate significantly from the usual trend. As mentioned before, the GNF exchange rate remains constant throughout the timestamps. Because there is no significant fluctuation from the stable exchange rate of 0.00016, no outliers can be identified from this given data.

    Conclusively, the analysis above is strictly based on the GNF exchange rates presented with respect to different timestamps. It should be taken into account that any occurrence of unexpected events, market volatility, or emergencies are not considered here as requested.

Summary of Yesterday

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Statistical Measures

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Summary of Last Month

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Statistical Measures

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    Understanding the Overall Trend

    From the data provided, the overall trend of the exchange rate (GPF) appears to be relatively stable at 0.00016 over the entire duration. This is indicated by the constant value of the GNF exchange rate at every timestamp. There's no visible trend of increase or decrease in the points given.

    Identifying Seasonality

    With regards to seasonality and recurring patterns, the data does not provide enough variance to be able to extract any discernible seasonal patterns or rhythmic fluctuations. The consistent rate of 0.00016 at each timestamp does not suggest any daily, weekly or monthly changes which are essential components of seasonality.

    Noting Outliers

    Outliers are data points that are significantly different from the others. However, in the dataset provided, every exchange rate data point stands at the value, 0.00016. With a lack of variance or variation in the dataset, we do not have any outliers.

    Conclusion

    In conclusion, the provided dataset does not show any meaningful change over time, no observable patterns of seasonality, and no outliers due to the constant exchange rate of 0.00016. Generally, analytical insights from such uniform data are limited.

    Please note that this analysis is based solely on the data provided and does not account for any external market factors that could impact exchange rates but weren't apparent in the dataset.

Summary of Last Week

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Statistical Measures

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    Analysis of Data

    Upon examination of the data, the following observations have been made.

    1. Overall Trend of the Exchange Rates

    The overall trend of the exchange rates for the period shown is stable. The exchange rate remains at 0.00016 throughout the dataset. The lack of variation indicates that there's a stable attribute maintained over the given time period.

    2. Seasonality or Recurring Patterns

    Given that the data for the exchange rates remain constant, it is not feasible to discern any seasonality or recurring patterns. The value is consistent across all timestamps, meaning there's no fluctuation to signal specific patterns or repetitiveness in the value alterations.

    3. Outliers or Significant Differences

    As the exchange rate remains the same throughout all the given timestamps, no outliers or significant deviations are present. There's a persistent stability reflected in the dataset, which limits any occurrence of an unexpected rate that could otherwise be regarded as an outlier.

    In conclusion, the provided dataset reflects a uniform exchange rate over the given timestamps, indicating immense stability with the absence of any noticeable variation or outlier. While it makes predicting trends or repeating patterns impossible in this context, it speaks volumes about the stability of the exchange rate in this duration.

Summary of Yesterday

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Statistical Measures

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    Analysis of GNF Exchange Rates

    The provided dataset contains the GNF exchange rates for various timestamps over a period of time. Each data point records the GNF exchange rate at the specified timestamp. Here is a summarized analysis:

    1. Overall Trend

    The exchange rate data over the given period shows a steady trend as the exchange rate value stands constant at 0.00016. There appears to be no significant increase or decrease during this period as all recorded rates are at a consistent value.

    2. Seasonality and Recurring Patterns

    Due to the exchange rate remaining consistent throughout the period, it is not possible to establish any evident seasonality or regular patterns. In an ideal setting, with fluctuation in the data, seasonality might be noticeable in terms of certain repetitive movements in the exchange rate with respect to the time of day, week or month. However, this constant exchange rate exhibits no such patterns.

    3. Outliers

    The dataset displays a constant exchange rate over time. Therefore, no outliers can be identified, as an outlier would typically be an instance where the rate significantly deviates from the well-established trend or expected range. In this context, this means that there are no unusual spikes or drops in the exchange rate over the time period analyzed.

    In conclusion, the exchange rate of the GNF has remained stable during the period these data were recorded. Without any fluctuation in the rates, it is not easy to predict any trend, pattern or anomalies that could arise in the future. Of course, various external factors such as market conditions, geopolitical events, and economic indicators can influence the future movement of exchange rates, but the current dataset does not allow for such an analysis.

Summary of Yesterday

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Statistical Measures

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  • Trend

    Analysis of Exchange Rates

    The provided dataset contains a time series of GNF exchange rates from February 23, 2024. The data provides rates in 5-minute intervals for more than 24 hours. The following observations were made upon analysis:

    Overall Trend

    The overall trend in this dataset shows that exchange rates for GNF remained constant at 0.00016 throughout the selected time period. There was no observable increase or decrease in the exchange rate over this period. While fluctuations are common in exchange rates due to factors such as geopolitical events, monetary policy decisions, and changes in economic indicators, there were no such changes in this dataset.

    Seasonality or Recurring Patterns

    Generally, observing seasonality or recurring patterns requires long-term data, typically several months or years. However, in the provided data, there is no seasonality or recurring pattern observed. This could be due to the data span being only for a single day, as a more extended period might provide different insights.

    Outliers

    An outlier in exchange rate data would typically be a significant deviation from the overall trend. In this data, no outliers were detected as every recorded exchange rate is the same, 0.00016.

    External Factors

    While not accounted for in this analysis, it's worth noting that exchange rates are often affected by external factors such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports. These factors may precipitate sudden changes or trends within them, even on a Day level. However, no such alterations were noted in the dataset provided.

    In conclusion, the dataset presents a completely steady exchange rate for GNF over the observed day. It is recommended to review or collect multiday or multi-month data for a more insightful analysis to understand any potential trends, seasonality or impacts of key external factors.