Pa’anga 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

    Overall Trend Analysis

    Upon examining the data, the overall trend for exchange rates seems to be relatively steady, with minor fluctuations observable throughout the given timeline. The exchange rate started at 0.57259 and ended at 0.5719 indicating a marginal decline over the period. However, an absolute conclusion on the upward or downward trend cannot be drawn as the changes are very minute to make out a solid direction of the rate's movement.

    Seasonality or Recurring Patterns

    Seasonality is more concerned with consistent and predictable changes that repeat every calendar year. In terms of daily data such as this, it can relate to hourly behaviors in the data. Regrettably, for this particular dataset, no clear seasonality pattern or cyclical trends can be observed from the extended timeline. That is to say, there doesn't appear to be a consistent repeating pattern for an increase or decrease in exchange rates for specific time intervals.

    Outliers Analysis

    • A substantial decrease in the exchange rate can be noticed from 0.57332 around 04:45:02 to 0.57126 around 09:10:03. These drops signify the possibility of outliers within the data.
    • Likewise, an instance of significant increase can be found around 09:30:03 where the rate jumped to 0.57215 from 0.57145 causing an unexpected spike.
    • However, more sophisticated statistical analysis would be needed to confirm these as actual outliers, as they could also possibly indicate periods of more substantial volatility in the exchange rates.

    In conclusion, the exchange rate data provided us with an illustrative timeline of the values over a specific period. However, to gain accurate insights and reveal hidden trends, applying In-depth Time Series analysis methods like Auto-regressive models, Moving Average models, or ARIMA could be beneficial. Moreover, such brief analysis should not be taken as precise due to not considering external factors like market instability, economic events, or the release of key financial news and reports, etc.

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

    Looking at the data provided, we can see that the exchange rate has a slight upward trend over the given period. The rate started at 0.57345 and ended at 0.57248, indicating a mild decrease overall. However, it's important to note that there are several fluctuations within the period, showing that the rate has regularly risen and fallen instead of maintaining a steady climb or descent.

    Seasonality or Recurring Patterns

    Upon analyzing the data, no clear patterns of seasonality can be discerned from this dataset. This is quite typical for financial data as it tends to be influenced by numerous factors, not all of which are time-dependent. However, there seem to be periods where the exchange rate remains relatively stable with minor fluctuations, interspersed with periods of larger rate changes. Further analysis over a longer period might be needed to confirm any potential patterns.

    Identified Outliers

    Considering the overall trend and fluctuations of the exchange rate, several potential outliers can be noted in the dataset. On closer inspection, the most significant outliers are those points where the rate drops below the 0.573 mark and those where it exceeds the 0.575 mark. These points differ quite significantly from the majority of the data and might warrant further investigation to determine any possible causes for these deviations.

    Note:

    This analysis has been conducted purely on the basis of the numerical data provided and does not take into account any external factors such as market trading hours or major news events. These factors could have significant effects on the observed exchange rates and could potentially explain the observed trends and 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

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

    Overall Trend Analysis

    From the given dataset, it appears that the overall trend of exchange rates is relatively stable, with minor fluctuations. The highest observed rate is 0.57342, and the lowest is 0.57144. Although there are slight increases and decreases in the exchange rate, there isn't a pattern of continuous rise or decline over the given period. The exchange rates seem to oscillate in a narrow range.

    Seasonality or Recurring Patterns Identification

    Based on the available data, it is not immediately obvious if there are distinct seasonal patterns or recurring trends. The dataset provided covers only one day on February 26, 2024, which is not ample enough to discover day-to-day, weekly, or monthly recurring patterns. An extensive dataset covering several months or years may highlight these patterns more adequately.

    Outliers Identification

    Outliers in this context would be significant deviations from the observed range of exchange rates. From the quick inspection, it seems like the most notable decrease happens at 21:50:01 with the exchange rate dropping to 0.57161 from a previous value of 0.57248. It is the only moment the exchange rate fell below 0.572. However, this fall is not very drastic and doesn't stand out to a significant extent from the surrounding data points, as the exchange rate gradually rebounds after that and stays within the common range.

    Please note: To provide a more precise and comprehensive analysis, more advanced statistical methods should be used, as well as a dataset covering a broader timeframe.

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

    Understanding the Overall Trend

    The given data shows a fluctuation in exchange rates over the time period. The rates fluctuate between a minimum of approximately 0.56264 and a maximum of approximately 0.57428. There isn't a clear overall ascending or descending trend, but rather the values rise and fall between these two extremes. This suggests a volatile currency exchange rate market, which is quite common in foreign exchange dynamics where exchange rates frequently rise and fall in response to a variety of factors including but not limited to economic data releases, geopolitical events, and market sentiment.

    Identifying Seasonality or Recurring Patterns

    With the data provided, it's difficult to identify any clear seasonality or recurring patterns. The fluctuations in the exchange rate occur within a relatively narrow range and don't appear to have a clear cyclical nature. The exchange rate variations are likely driven more by unpredictable, short-term factors than by static, recurring cycles. More detailed, long-term data might be necessary to identify more subtle seasonal factors, if they exist.

    Noting Any Outliers

    Given this dataset, there are some values that seem to be significantly higher or lower than the average, these can be considered as outliers. At a glance, the values that surpass 0.572 could be considered higher outliers, like the rates on 2024-02-13 and 2024-02-21. Similarly, the values that are lower than 0.563 could be considered lower outliers. The lowest value is on 2024-02-19 with 0.56264. Please note that a more rigorous statistical analysis would be required to officially categorize these instances as outliers.

    To sum up, the data trend shows volatile currency exchange rates with no clear seasonality patterns or overall increase/decrease trends. There are instances where the rate drops or rises significantly that might be considered outliers in this dataset.

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 Overall Trend

    Upon reviewing the dataset, it appears that there is a very slight upward trend in the exchange rates over time. The rate started at about 0.56263 and ended at about 0.57199. We can identify that the exchange rate is generally increasing, however, the increase is not significantly high, and there are periods of falls and rises throughout the data. So, we can consider the exchange rate is fluctuating around a certain level but with a slightly positive tendency.

    Analysis of Seasonality/Patterns

    In the analysis of time series data, identifying recurring patterns or 'seasonality' is important as they may provide significant insights about the nature of the data. Unfortunately, without external context such as knowledge of market behaviour during specific hours of the day, public holidays, or weekends, it's impossible to claim with certainty that there is an observable seasonality in this dataset or not.

    Outlier Detection

    There is a significant jump in the data at the timestamp 2024-02-19 23:00:02 where the exchange rate rises from 0.56404 to 0.57105. This jump seems to be an outlier in the dataset as it is not in line with the slight upward trend seen in the rest of the data, this could be due to several unpredictable factors such as market news, changes in monetary policies, economic shocks etc. However, this analysis does not take into account any specific financial report or news.

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 the Exchange Rates

    Based on the provided data, the exchange rates fluctuate significantly. However, when looking at the big picture, the rates seem to exhibit a slight uptrend from around 0.57116 to approximately 0.57226. This conclusion comes from taking the initial and final data points as reference, however, there are considerable fluctuating behaviours observed in between. The maximum rate attained was 0.57263, and the lowest rate was 0.57041 during this period.

    Seasonality or Recurring Patterns

    Regarding seasonality or recurring patterns, time-series data like this often exhibits such characteristics. In this dataset, however, no clear or strong seasonal pattern is readily observable. The data does show some potential periodic fluctuations, but they do not seem to follow a consistent duration or intensity, and hence it is difficult to determine a repetitive pattern. We would need more data or review it in smaller time frames to determine any potential short-term cyclical patterns.

    Outliers in the Dataset

    In terms of outliers, or abrupt changes in exchange rates, there are several instances throughout this timeframe where the rate adjusted significantly in a short period. One example is during the interval from 09:10:03 to 10:20:03, where the rate quickly increased from 0.57144 to 0.57263. Another instance can be found at 06:30:02 going down to 06:35:01, where the rate dropped from 0.57088 to 0.57063. However, it is noted that these events are part of the overall fluctuating character of the data, and they don't diverge extremely from the general behaviour of the data.