Iranian Rial Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Overall Trend Analysis

    Based on the provided data, the value of the exchange rate (IRR) remains constant throughout the time series. The value stands at 3.0E-5 at all given timestamps. This suggests there is no increasing or decreasing trend in this particular dataset, the exchange rates remained stable over the specified period.

    Seasonality or Recurring Pattern Analysis

    In the data provided, there doesn't seem to be any seasonality or recurring patterns. Since the given rates are the same at each timestamp, we can infer there are no observable variations in the exchange rates tied to a particular time or a period that could suggest a seasonality pattern. This indicates that the value of the exchange rate didn't change with any time-based factors, at least within the scope of this dataset.

    Outliers Detection

    In this dataset, there are no outliers. Outliers typically represent the data points that significantly deviate from other observations. In the context of this data, where the rate remains steady at 3.0E-5 across all timestamps, there are no data points that vary significantly from this consistent rate. Thus, we can say there are no outliers in this dataset.

    Additional Remarks

    Despite the lack of variation in the data provided, in the real-world, exchange rates are influenced by a number of macroeconomic factors such as inflation rates, interest rates, political stability, economic performance, etc. which were not factored into this analysis. Additionally, effects of specific events, market opening/closing hours, weekends/holidays, or the release of key financial news and reports were not considered as per given instruction. Any future forecast is not generated as requested.

    Note: This analysis is entirely based on the data provided and does not consider external factors which could have significant impact on exchange rates in a real world scenario.

Summary of Yesterday

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  • Difference of Daily High & Low:

Statistical Measures

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  • Trend

    Analysis of the Time Series Data

    The dataset provided consists of timestamped data points for the IRR exchange rate. The timestamps are taken at regular intervals over a single day.

    1. Understanding the Overall Trend of Exchange Rates

    Upon analyzing the dataset, it is evident that the IRR exchange rate stayed completely stable at 3.0 E-5 for the entire period under consideration. There wasn't any noticeable increase or decrease observed in the data, and no significant fluctuations were evident. Therefore, within the scope of the given data, the trend of exchange rates is considered to be stable.

    2. Identifying Any Seasonality or Recurring Patterns

    As the exchange rate remained constant throughout the given timeframe, no clear seasonality or recurring patterns can be determined from the data. To establish the seasonality trends or recurring patterns, there must be some variability in the data across different time periods. However, in this case, the exchange rate does not change, which means there are no patterns or seasonality.

    3. Noting Any Outliers

    In statistics, an outlier is an observation that lies an abnormal distance from other values in a random sample from a population. Analyzing this dataset reveals that there's no outlier in these data points. Since every data point in the provided series is equal to 3.0 E-5, no value deviates from the others. Therefore, it's safe to conclude that this data set contains no outliers.

    In summary, the given dataset features a stable IRR exchange rate over the entire period, with no detected seasonality, recurring trends, or outliers. However, larger amount of data or data spanning across several days or months would be required for a more comprehensive analysis, especially to determine trends, patterns, and outliers.

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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    Based on the provided data set, which is the time series data indicating changes in exchange rates (IRR) at different times, the analysis is as follows:

    1. Overall Trend of the Exchange Rates

    The exchange rate given in the dataset is a constant value of 3.0E-5. This demonstrates that the exchange rate has remained stable over the entire period shown. There is no evident increase or decrease in the rates throughout this dataset. Hence, the overall trend of the exchange rates indicates a steady or stable condition.

    2. Seasonality or Recurring Patterns in the Changes of Exchange Rates

    Given that the exchange rate remained consistently at 3.0E-5 for the entire duration, similarities, or patterns might not be inferred from the data. There is, therefore, no visible seasonality or recurring patterns in the changes of the exchange rates considering the provided dataset.

    3. Outliers in the Dataset

    An outlier is a data point that differs significantly from other observations. However, with a steady exchange rate of 3.0E-5 across all timestamps reported in this data set, there are no instances where the exchange rate differs significantly. It's safe to conclude that there are no outliers in this dataset based on the provided exchange rates.

    This analysis is purely based on the figures given, and does not factor in external events such as market opening/closing hours, weekends/holidays, or the release of significant financial news and reports. Plus, no forecast for future rates has been generated as per request.

Summary of Last Week

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Statistical Measures

  • Mean:
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  • Trend

    Analysis of the dataset

    Upon analyzing the data provided, it can be seen that the exchange rate (IRR) remains consistent throughout the period shown. There are no discernible increases or decreases over the time period. The value stays steady at 3.0E-5 for all the timestamps provided. This constancy indicates that the currency is stable during this duration.

    Trend Analysis

    The overall trend of the exchange rates appears to be neither increasing nor decreasing as all data points show a flat line constant at 3.0E-5.

    Seasonality and Recurring Pattern Analysis

    In regards to seasonality or recurring patterns, the data provided in the dataset does not indicate any clear cyclic or systematic variation in the exchange rate. As the rate remains constant throughout, it is not possible to identify any seasonal trends or patterns in the data.

    Identifying Outliers

    No outliers can be identified in the data. Since the exchange rate remains consistently at 3.0E-5 throughout all the timestamps, there are no instances were the exchange rate significantly deviates from this value.

    In conclusion, this dataset does not show any significant variability, seasonality, or outliers in the IRR exchange rate over the time period given. While this might make any kind of predictive analysis difficult, the consistency of the rate is a strong indicator of the stability of the currency during this duration.

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. Understanding the overall trend of the exchange rates

    The dataset provided contains the exchange rates (IRR) at different times (timestamps) spread over a period from 19th February 2024 to 23rd February 2024. The rate during this period remains constant at 3.0E-5. This signifies that the exchange rate is completely stable throughout the duration represented within the dataset without any apparent increase or decrease.

    2. Identifying seasonality or recurring patterns in the changes of exchange rates

    As per the data provided, the IRR exchange rate has remained stable at 3.0E-5 throughout the given time period. Since there is no variation or change in the rate over time, we can conclude that there are no discernible patterns or seasonality observed in this dataset. Normally, with variations in data, we could delve into seasonality or recurring patterns, but with a constant rate such as this, no such analysis can be made.

    3. Noting outliers or significant deviations

    In the context of this dataset, an outlier would refer to a significant deviation from the constant rate of 3.0E-5. However, considering that the provided values are all the same, there are no outliers present in this specific dataset. Despite examining the entirety of the data closely, every instance consistently confirms the IRR exchange rate as 3.0E-5, thus resulting in zero significant discrepancies or outliers.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Comprehensive Analysis of Time-series Data

    The dataset at hand is a time-series dataset showcasing exchange rates (IRR) of some currency over different timestamps. After a thorough analysis, the following observations, insights, and patterns were noticed:

    1. Understanding the overall trend of the exchange rates

    The data provided records the same exchange rate (3.0E-5) for all timestamps, indicating a constant and unchanging rate. In this period, there is no discernible trend of increase or decrease in the exchange rates. The rates have remained entirely stable over the entire duration as evidenced by the data.

    2. Identifying any seasonality or recurring patterns

    Given the constant nature of the exchange rates within this dataset, it appears there is a lack of seasonality or recurring patterns. With an unchanging rate, there are no discernable fluctuations or periodic alterations to analyze. Therefore, it's not feasible to attribute any seasonality or regularity in the data.

    3. Noting any outliers

    Considering that all the given exchange rates are equal (3.0E-5), there are no outliers in this dataset. An outlier would be evident if there were a significant variance in the exchange rate amongst the timestamps, which isn't the case as per the provided dataset.

    In summary, the data presents a rare scenario in the field of finance where the exchange rate remains constant over a large span of time across multiple recorded timestamps. There is no variance, no discernible patterns or trends,revealing a completely stable period, which is the most significant insight derived from this data analysis.