Tala Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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Statistical Measures

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    Overall Trend of the Exchange Rates

    The overall trend of the WST exchange rates in the provided dataset is relatively stable. The exchange rate starts at 0.49518 and ends at 0.49265. This indicates a very slight depreciation in the rate over the given time period. However, the small difference of 0.00253 between the start and end rates is less than a 1% change, showing considerable stability for exchange rates which are typically volatile.

    Seasonality or Recurring Patterns

    The dataset does not reveal any clear seasonal or recurring patterns in the WST exchange rates. Rates fluctuate throughout the entire time frame, but there are no noticeable patterns linked with specific times or intervals. More data over a longer period might be needed to identify any recurring patterns.

    Outliers in the Data

    Most of the WST exchange rates in the dataset are in the range of 0.492 to 0.496. Any rates that are significantly above or below this range could be considered outliers. However, based on the provided data, there do not appear to be any clear outliers. This, again, points to a stable WST rate throughout the given period.

    It’s essential to note that the conclusions are drawn purely from the data provided and do not take into account any external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Therefore, there may be external influences causing fluctuations in the data that are not analyzed in this report.

Summary of Yesterday

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Statistical Measures

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Summary of Yesterday

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Summary of Last Month

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    Based on the provided time-series exchange rate data, an initial analysis was conducted to understand the trend, seasonality, and any noticeable outliers in the data.

    1. Overall Trend:

    The overall trend of the WST (exchange rate) appears to be moderately fluctuating over the period. The rate started at around 0.49475 and ended at 0.49585, showing a mild increase. However, it's important to note that the rate didn't change linearly but fluctuated near these values regularly.

    2. Seasonality:

    Given the data's granularity every few minutes within hours and over a day, it's difficult to infer any clear seasonality in exchange rate changes. That being said, the data doesn't present a noticeable regular pattern. Any pattern dynamics or dependencies might be clarified by tuning the time frame or obtaining additional data.

    3. Outliers:

    Anomalies or outliers in this context may be defined as extreme deviations from the average rate. The dataset didn’t present any blatant outliers. Nevertheless, the greatest exchange rate observed in the data-set was 0.49619 and the lowest was 0.49441. Further rigorous statistical analysis would be required to precisely identify outliers. These extreme values might reflect influential factors or volatile periods in the foreign exchange market.

    In conclusion, this basic level analysis promises a lot more to be revealed with more specific and sophisticated analytic techniques considering the dataset's complexity.

Summary of Last Week

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Statistical Measures

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    Overall Trend

    After analyzing the data, it shows that there is a slight but not substantial increase in the exchange rate over the provided time period. This trend suggests that the value of the WST is improving slightly against the other currency in the exchange rate. However, the rate of increase is small enough that it can almost be considered stable.

    Seasonality or Recurring Patterns

    Based on the dataset, there doesn’t appear to be strong seasonality or recurring patterns. The fluctuations appear to be more random rather than tied to specific times or dates. Although minor peaks and troughs can be observed within a day, these do not constitute a strong pattern due to their inconsistency.

    Noted Outliers

    • The data point on 2024-01-29 shows a higher than normal increase. The exchange rate jumps from 0.48921 to 0.50088 which is quite significant compared to the usual rate of change observed across the dataset.
    • Another point to note is the drop in exchange rate on 2024-02-19 from 0.5033 to 0.4912, which could be considered as another outlier as it deviates significantly from what we would expect based on the trend.

    Please note that while these outliers are significant with respect to the dataset, they may not necessarily be anomalies as financial exchange rates are influenced by numerous factors and can exhibit extreme volatility.

Summary of Yesterday

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    1. Analyzing the Overall Trend of the Exchange Rates

    The exchange rate data provided shows a relatively stable overall trend, with minor fluctuations. It starts around the mark of 0.50228 and decreases to around 0.49211. The change is not substantial and indicates a very slow downward trend with minute decimal differences. There's slight volatility in the data, but given the small decimal place where it occurs, it wouldn't significantly impact considerations.

    2. Identifying Seasonality or Recurring Patterns

    Given the data for only a few days, it’s hard to identify any seasonal or regularly recurring patterns in the changes of exchange rates. It generally requires a more extended period to detect seasonality. However, from the data provided, there were no clear or apparent patterns exhibiting within each day or from one day to another.

    3. Outliers Observation

    A notable anomaly in the dataset can be found on February 19, 19:00, where the rate suddenly drops to 0.49131 from 0.50327, a significantly larger decrease than any other consecutive measurements within the data. This is obvious when observing the surrounding data points that follow a more gradual change. The reasons behind this sudden decrease could come from various factors, but it's beyond the scope of this analysis as we only focus on the provided data. The rest of the data points seem to follow a general trend, so this can be marked as an outlier.

    Please note that this analysis does not consider external events or conditions such as market operating hours, weekends/holidays, or major financial news release. The aim is just to recognize patterns based purely on numerical data.

Summary of Yesterday

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Statistical Measures

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    From examining your dataset, I've found the following findings:

    1. Overall Trend of Exchange Rates

    From the time series data provided, there is a slightly fluctuating trend in the exchange rates over the duration. The value doesn't remain constant and has minor ups and downs, but there doesn't appear to be a strong upward or downward trend. Any shift in value is marginal and generally remains around 0.491 to 0.492. This means the exchange rate is relatively stable over this period.

    2. Seasonality or Recurring Patterns

    The data does not seem to indicate a noticeable seasonality or recurring pattern. Although there are consistent fluctuations, these are minor and do not indicate a clear pattern of highs and lows at regular intervals. To better identify the patterns with certainty, data for a longer period would be helpful.

    3. Outliers

    The dataset appears to be free of any significant outliers. The majority of exchange rates are within a tight range, with no drastic spikes or drops observed. This implies a steady, stable trend in exchange rate over this specific time period.

    Note: These findings were made purely on the basis of statistical analysis, without considering any external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports. Only the given dataset was used.