Sri Lanka Rupee Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Analysis of LKR Exchange Rate Time-series Data

    The dataset provided chronicles a range of exchange rate values for the Sri Lankan Rupee (LKR) over a span of a single day. Accordingly, the insights and assessments derived from the data primarily revolve around this limited time frame. For more accurate and far-reaching analysis, a more extended data set across days, weeks, or even years would be more beneficial. As the task suggests, no consideration is made for market behaviour, specific global events, or future forecasting when analysing the data.

    Observations for LKR Exchange Rate

    The exchange rate of LKR remained remarkably stable throughout the time frame covered by the data points provided. The value largely stayed consistent at around 0.00438, with very minimal fluctuations. There were only a few instances where the rate deviated to 0.00439 or 0.00437.

    Trend Analysis

    The trend in this case is fairly consistent, with only minor fluctuations occurring. The minor changes do not display a clear increase or decrease and are not significant enough to indicate a recognizable pattern or trend within this data set.

    Seasonality

    With the data provided spanning a single day, it is challenging to identify seasonality or recurring patterns. However, no obvious cyclical trends, repeating patterns or regular fluctuations have been identified within this 24-hour period.

    Outliers

    Given the remarkably stable exchange rate throughout the day, the occurrences of 0.00439 and 0.00437 can be regarded as outliers. Even though the difference appears to be minuscule, these values deviate from the prevalent data trend of 0.00438.

    As seen in multiple instances over the time series data, significant shifts or "spikes" are conspicuous by their absence. The rate seems to be highly resilient to dramatic changes, and maintains steady within the aforementioned range.

    Conclusion

    The LKR exchange rate within the given time period remains predominantly flat with minimal fluctuations. There are no identifiable trends, recurring patterns or significant outliers evident from the available data. These observations could potentially indicate a stable economic scenario during this specific time period, but it is also necessary to cross-verify these assumptions logically with contextual real-world events.

    It's also important to note that this analysis is based entirely on the data provided, and it does not take into account global economic circumstances or changes in other macroeconomic indicators. For a more detailed and precise analysis, a broader range of data and indicators would be required.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Overall Trend of Exchange Rates

    The data consists of five-minute interval timestamps with corresponding exchange rates from the start of the day at 00:00:02 to the end of the day at 23:55:02. The exchange rate fluctuates around the 0.00437-0.00439 level for most of the day. The general trend for the given day suggests a relatively stable exchange rate throughout the day with minor fluctuations.

    Seasonality or Recurring Patterns

    As this data represents one day's worth of timestamps, it is difficult to identify any significant seasonality or recurring patterns. Seasonality generally refers to changes that occur over a longer period (e.g., annually or quarterly). With more data covering a longer time period, it would be possible to determine if such patterns exist.

    Outliers

    For the presented dataset, we do not see any significant anomalies or outliers within the day. The exchange rate appears to remain within an expected range based on the given data with minor fluctuations. To be more precise regarding outliers, it would be essential to analyze a larger dataset and apply statistical measures.

    Remember, these interpretations are largely based on the one-day dataset provided here. A more detailed analysis, over an extended time period, or considering external factors, could present a more comprehensive outlook on the exchange rate's behavior.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

Summary of Last Month

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Analysis

    From the raw data provided, it is evident that the dataset includes timestamp and the corresponding exchange rate (LKR). The timestamps cover various intervals throughout the day from 2024-02-26 00:00:02 to 2024-02-26 23:55:02.

    Overall Trend

    The overall trend of the data seems stable. Most exchange rates are ranging between 0.00434 and 0.00435. However, there's a minor increase, albeit not significant enough to conclude that the trend is rising. Similarly, we do not see a prominent decreasing trend either. But, fluctuations between 0.00434 and 0.00435 can't be overlooked.

    Seasonality or Recurring Patterns

    From the surface level analysis, the frequency of the exchange rate doesn't appear to show any visible seasonal or cyclical patterns. The data appears quite stable, with the values primarily alternating between 0.00434 and 0.00435. There does not seem to be any specific time of the day that consistently results in a higher or lower rate.

    Outliers

    Given the consistency in the data, there aren't visible outliers. We don't see fluctuations beyond the range, and there aren't sudden spikes or drops in the exchange rate. In this dataset, the LKR rate consistently stays within a very narrow range, suggesting minimal volatility during this particular period.

    In conclusion, while this data reveals a very stable period with little variation in exchange rates, it is important to note that more substantial changes may not be captured within such a short timeframe. Exchange rates are influenced by various factors like inflation, interest rates, political stability, or simple supply and demand. Therefore, in order to gain a more comprehensive understanding, a larger dataset covering a longer period may be required.

Summary of Last Week

  • Opening:
  • 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

    After careful analysis of the exchange rates over the given period, it can be concluded that the exchange rates have shown a very moderate increasing trend. The rates started from a point of 0.00421 and moved up to around 0.00434. However, the increase over this period is not substantial and suggests a somewhat stable trend with very moderate increases. Though Mthere are minor fluctuations throughout, no robust trend of consistent increase or decrease is observed.

    2. Identifying any seasonality

    In case of time-series financial data like this, seasonality is an important factor to consider. However, in this particular dataset, no clear seasonal trend could be identified. The data points are too closely packed and spanning over a month, making it difficult to observe any specific patterns repeating at regular intervals. While a day-to-day analysis shows minor fluctuations, no recurring pattern could be traced pointing towards a definitive seasonal trend.

    3. Noting the outliers

    The data provided does not seem to have any major outliers. Given the close-knit range of data - from 0.00421 to 0.00434 - no single data point deviates significantly from this range. Most variations are minor and within the same range. Any larger deviation that could be classified as an outlier is missing in the dataset. The moderate increases or decreases observed do not create deviations significant enough to be considered outliers. Hence, the analysis suggests very minor fluctuation within a close range, though no significant outliers have been observed.

    In conclusion, the exchange rates in this dataset show a minor increasing trend, with no identifiable seasonal variation, and no significant outliers have been noted. These observations are based solely on the specific data and time period provided, without taking into account external factors such as specific events, market conditions, or news reports.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:
  • Trend

    Overall Trend Analysis

    Upon observing the given dataset, the exchange rate (LKR) predominantly fluctuates between 0.00431 and 0.00434 across the specified timestamps. There is a slight upward trend starting from a stable growth rate of 0.00431, with the highest value peaking at 0.00434. The increase, although marginal, indicates a growing trend in the LKR exchange rate for the given period. Therefore, it can be concluded that the exchange rates are generally rising in the observed timestamps.

    Seasonality or Recurring Patterns

    Regarding potential recurring patterns or seasonality in the data, the data does not clearly reveal any. The overall fluctuations are quite minimal, with the exchange rate predominantly switching back and forth within the aforementioned range with no discernible pattern. Therefore, it's tough to deduce any seasonality from the available data set without a larger timeframe or additional data points to compare.

    Outliers Analysis

    As for outliers in the dataset, no significant variations are observed that would indicate an anomaly or remarkably deviate from the overall trend. The exchange rates fall within a very narrow bandwidth, and no severe spikes or drops are detected. This suggests that during the period observed, the exchange rate was relatively stable without any significant event causing a drastic shift in rates.

    Conclusion

    To sum up, the data shows a moderate upward trend in the LKR exchange rate from 0.00431 to 0.00434 over the observed period. However, it fails to exhibit clear evidence of any seasonal patterns due to the relatively constant behaviour of the rates. Furthermore, no significant outliers are observed that would indicate a substantial break from the general trend. Nevertheless, it should be noted that these conclusions are purely based on the provided data, and for a more comprehensive and accurate analysis, considering more factors such as market dynamics, economic indicators, or a more extended data timeframe might be necessary.

Summary of Yesterday

  • Opening:
  • 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

    Upon observing the time series data for the specified period, it's clear that the exchange rates (LKR) have increased from 0.00432 to 0.00435. This indicates a slight upward trend. However, the difference is minor and the exchange rate has remained relatively stable over the duration provided in the dataset. It is worthwhile to note that major shifts in exchange rates usually occur over significantly longer periods.

    2. Identifying any seasonality or recurring patterns

    The data does not indicate the presence of strong seasonality or recurring regular patterns within the provided period. The fluctuations in the exchange rate are minimal and do not show a clear cyclical pattern. Most time intervals maintain a stable rate, with slight fluctuations occurring irregularly. The data provided is short-term, ranging only over a day, and seasonality generally becomes evident over longer periods. Therefore, if seasonality does exist, it might not be apparent in this data set.

    3. Noting any outliers

    The dataset does not show any significant outliers or instances where the exchange rate deviates dramatically from the average. All rates provided remain within a narrow band of 0.00432 to 0.00435. These values do not differ significantly from the mean, and therefore, one can make an assumption that there are no outliers present in this data.

    Please note that the insights derived from this data are confined to the data provided and the period it represents. Longer term patterns and phenomena can only be identified with a larger and more extensive data set.