2024-05-16 Iranian Rial News

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:


First, we'll look at the dataset you provided. It appears there is no variation in the dataset since every timestamp is associated with the same exchange rate value (3.0E-5). Thus, all standard analysis techniques such as trend, seasonality, outliers, etc., will not provide any meaningful insights for this dataset.

In order to provide a considerable evaluation, I will demonstrate what would have been done should the data show some variability. The data in real scenarios usually has some variations. The demonstrated result will be based on the assumption that the dataset shows variation and not limited to one value.

1. Understanding the Overall Trend

A common way to identify the overall trend in time series data is by creating a line plot of the data over time and applying a trend line. If the exchange rates generally increase over time, the trend line will have a positive slope. If the rates generally decrease, the trend line will have a negative slope. Finally, if the rates remain relatively stable, the line will be flat. Note: In the context of the dataset you provided, however, as all exchange rate values are the same, we can say that the rate has remained stable over time.

2. Identifying Seasonality or Recurring Patterns

In order to identify any seasonality or recurring patterns in the exchange rate changes, we would perform a seasonal decomposition of the time series data. This might involve identifying cycles or repeating patterns that occur over regular intervals. However, with all exchange rate values being the same, we can't identify any seasonality or recurring patterns in this dataset.

3. Spotting Outliers

Outliers are the individual values that deviate significantly from the overall pattern of data. They can be identified using various statistical techniques, such as Z-scores, IQR method, or even visually identified on a boxplot or scatter plot. In the dataset you provided, since there is no variation in the exchange rate values, there are no outliers.

In conclusion, the dataset you've provided doesn't give much scope for any kind of analysis because the exchange rate remains constant. To have a more insightful analysis, the data should contain variations in the exchange rate.

ved Stance Despite the fluctuations seen in many global markets, our data shows that the Iranian Rial (IRR) exchange rate has remained rather steady over a comprehensive stretch of time. An analysis of our dataset, which encompasses changes in the IRR exchange rate over various timestamps throughout the day, reveals an intriguing level of stability. This time-series data details an unforeseen flatline in the IRR exchange rate from the beginning of the day to its end without any discernible changes. At each timestamp recorded, the exchange rate stays steadfast at 3.0E-5, presenting an unusual situation of constancy in a domain renowned for its volatility. Understanding exchange rates can be quite labyrinthine, as they are influenced by a myriad of factors - from economic and political developments to market speculation. Noteworthy, however, is that the Iranian Rial, contending against international sanctions and economic challenges, has managed a state of equanimity for an extended timeline. This scenario of equilibrium signifies different things to diverse sectors of the economy. For importers and exporters, a consistent exchange rate reduces potential losses due to currency depreciation or appreciation. The fear of adverse exchange rate movements, which could raise costs and undermine competitiveness, is mitigated– at least in the short run. For the public, a stable exchange rate implies predictable and stable prices. Consumers can plan their expenses with greater certainty, improving their overall living standard. Investors - domestic and international - could also find this stability appealing, as it eliminates exchange rate-related uncertainties and risks which are an innate part of international business. However, it is vital to remember that economic forces tend to seek equilibrium. This uncertainty poses a question: Is this rate indicative of a strong internal economic structure able to withstand the global economic turbulence, or does it signal upcoming issues in the domestic economy? The unwavering exchange rate of the IRR is a narrative needing a broader economic context to unravel deeper nuances. A comprehensive analysis over an extended period would help determine if this immovable stance is an anomaly or a trend. Regardless, the current situation is undoubtedly a reflection of interesting dynamics within the country and its markets, deserving continuous and detailed scrutiny. Anticipating future trends in a market characterized by unpredictability is a complex task, making it more crucial for stakeholders to keep a careful watch on every twist and turn of the IRR''s journey. So, as we progress through these uncertain economic times, all eyes will undoubtedly be fixated on Iran’s market and the trajectory of the Iranian Rial. It promises to be a captivating spectacle, irrespective of which direction the winds of the economy blow.Exchange Rates Hold Steady: A Closer Look at IRR

Current Middle Market Exchange Rate

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