Lebanese Pound Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Understanding the overall trend of the exchange rates

    From the given dataset, we can ascertain that the exchange rate of LBP has remarkably remained stable throughout the given period. There has been no observable difference as the rates seem to stay constant at 2.0E-5.

    Identifying any seasonality or recurring patterns in the changes of exchange rates

    The nature of the time series data does not show any seasonality or recurring patterns in the exchange rates. As mentioned, the exchange rate, in this case, remains constant in all timestamps, indicating no fluctuations, thereby offering no visible patterns.

    Observations of Outliers

    An outlier in a dataset is a value that is significantly different from other similar values. However, in this case, no outliers can be perceived. The LBP exchange rates have crucially maintained a constant plateau, and there have been no significant or minor deviations from the mean value, i.e., 2.0E-5.

    This analysis has exclusively been conducted considering the given dataset. No external market factors or significant financial or economic occurrences/events have been taken into account. Furthermore, a predicted future forecast for the exchange rates hasn't been provided as per the request.

    Conclusion

    In conclusion, the constant exchange rate of LBP highlights its stability during the given time. There were no observable trends, patterns, or outliers. Further review with additional data or over a more extended period might allow for more complex analysis.

Summary of Yesterday

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Statistical Measures

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    Analysis:

    According to the dataset provided which runs from 2024-02-28 00:00:02 to 2024-02-28 23:55:02, we can draw the following conclusions:

    1. Overall Trend

    The overall trend of the exchange rates (LBP) appears to be stable. Precisely, there is no change in the value of the LBP exchange rate throughout the provided period as it constantly remained at 2.0E-5. This specifies that there is neither any form of noticeable increase nor decrease in the exchange rate within this provided timeframe.

    2. Seasonality or Recurring Patterns

    Given the stability of the exchange rate throughout the timeframe, there are no discernable patterns of seasonality or cyclical trends observed in the data. The exchange rate does not show any pattern of systematic change repeatedly over the same interval of time.

    3. Outliers

    In the context of the provided data, no outliers can be identified. An outlier would typically be a data point that differs significantly from other observations but in this case, all data points (exchange rates) were identical, and therefore, none deviated from the general trend.

    It is crucial to note that this analysis is entirely based on the provided dataset, which indicates the LBP exchange rate for different timestamps on a single day (2024-02-28). Any circumstance or events external to this data, such as market opening/closing hours, weekends/holidays, or the release of key financial news and reports, have not been taken into consideration. With a more comprehensive dataset spanning a more extended period, additional trends and patterns might potentially surface.

Summary of Yesterday

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Statistical Measures

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  • Trend

Summary of Last Month

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Statistical Measures

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    Upon analyzing the provided data, the following observations were made:

    1. General Trend

    From the given time-series data, it appears that the exchange rates have remained remarkably stable over the reported period. Each data point provided records the exchange rate at 2.0E-5, with no changes recorded at any timestamp. Therefore, from this dataset, the trend seems to be a stable one, lacking any identifiable increase or decrease.

    2. Seasonality or Recurring Patterns

    Given that the exchange rate appears to remain constant throughout all the provided data points, there's no identifiable seasonality or recurring pattern in the exchange rates. All the data points, including those recording rates in the early morning, noon, afternoon, evening, and late-night, indicate the same rate of 2.0E-5. Hence, based on this data, there doesn't appear to be any regular, periodical fluctuations in the rate within a day or across different days.

    3. Outliers

    As with the trend and seasonality, since the exchange rate remains consistent in this dataset, there are no apparent outliers. Every recorded instance reflects the same, unchanging exchange rate of 2.0E-5, showing that the rate does not vary significantly at any particular time or under any apparent condition. Consequently, no outliers can be identified from the given data.

    Overall, this dataset paints a picture of a highly stable exchange rate environment, lacking in any discernible trends, seasonality, or unexpected deviations.

    Please note that this analysis only takes into account the given dataset. Real-world exchange rates are often subject to a wide variety of internal and external factors, including but not limited to market conditions, political events, economic reports, and changes in supply and demand. Therefore, in a real-world scenario, further analysis considering these factors might be necessary.

Summary of Last Week

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Statistical Measures

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    Overall Trend Analysis

    Based on the dataset provided, a majority of the exchange rates throughout the various timestamps are at 9.0E-5. However, there is a noticeable change starting from 2024-02-20 12:00:03 timestamp, where the exchange rate drops to 2.0E-5. This rate is maintained consistently for the subsequent time periods, indicating a decrease in the overall trend. The data reported does not show any significant increases over the entire period.

    Seasonality and Recurring Patterns

    Analyzing the dataset, no clear seasonality or recurring pattern can be identified. This is due to the constant exchange rate experienced over a significant period of time until the abrupt change observed. Without any consistent fluctuation or cyclical pattern, it's challenging to establish any form of seasonality from the data presented.

    Identification of Outliers

    The only significant outlier in the given dataset is the change of rates from 9.0E-5 to 2.0E-5 at the timestamp 2024-02-20 12:00:03. This is the only incident throughout the entire period where a drastic alteration in the exchange rate is observed, breaking consistency with the previous instances. As for the rest, they all fall into the same rate, and no other significant outliers can be noted.

    Please note that this analysis strictly follows the instructions of only using the dataset provided. No external factors have been considered, such as market changes, financial news, or unique events that could potentially influence the exchange rates.

Summary of Yesterday

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Statistical Measures

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  • Trend

    1. Understanding the Overall Trend of Exchange Rates

    From the dataset, it can be observed that the exchange rate remained constant at 9E-5 from '2024-02-19 01:00:02' until '2024-02-20 12:00:03'. Following this, there was a steep decline towards a new constant of 2E-5, starting from '2024-02-20 12:00:03' onwards, which was maintained for the rest of the observed period. Therefore, the overall trend seen in this exchange rate for the presented data establishes an uneven pattern, consisting of two predominant plateaus with a significant depreciation in value in the middle.

    2. Identifying Seasonality or Recurring Patterns

    With regard to the seasonal or recurring patterns, the given dataset does not have sufficient variability over the duration to allow for the identification of such patterns. The data remains constant at 9E-5 until '2024-02-20 12:00:03', after which it drops sharply to remain constant at 2E-5 till the end of the provided dataset. Therefore, within the observed dates, no seasonality or recurring patterns can be discerned from the data.

    3. Noting Any Outliers

    On the topic of outliers within this dataset, it's important to note that with the provided data the identification of outliers is challenging given the binary nature of exchange rates; either holding steady at 9E-5 or 2E-5. However, the sharp drop in exchange rate from 9E-5 to 2E-5 on '2024-02-20 12:00:03' marked a significant deviation from the previously stable state. Therefore, one could argue that this datapoint might be considered an outlier within the context of this dataset.

Summary of Yesterday

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Statistical Measures

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  • Trend

    Overall Trend in Exchange Rates

    The overall trend in the exchange rates over the given period shows complete stability. As per the provided data, the Local Beirut Pound (LBP) exchange rate remained entirely constant at the rate of 2.0E-5 across all timeframes. This signifies a potentially stagnant market situation during this span.

    Seasonality or Recurring Patterns

    As the exchange rate maintained an unwavering value across all timestamps, there seems to be no identifiable seasonality or recurring fluctuations in the data. It would typically entail the identification of any consistent increase or decrease in exchange rates at particular intervals.

    Outliers in Data

    Given that the exchange rates remained fixed throughout, no outliers were noted in this dataset. Outliers are extraordinary values that significantly deviate from the overall pattern or trend, rendering an anomaly. Consequently, no such anomalous exchange rate values were detected, as the rate did not display any variance.

    Other Factors

    The analysis does not take into account certain external factors due to which the exchange rate could remain constant. These potential influences include the market's opening/closing hours, holidays, weekends, or the release of pertinent financial reports. A more comprehensive analysis would warrant incorporating these potentially impactful scenarios for a robust understanding of the observed exchange rate trend.