Taka Forecast

Not for Invesment, Informational Purposes Only

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Understanding the Overall Trend of The Exchange Rates

The dataset provided ranges from a minimum of 0.01244 and a maximum of 0.01251. From the data, the exchange rate does not seem to fluctuate greatly. On average, the exchange rate seems to maintain a very stable range. Furthermore, the minute changes in the exchange rate are rather steady and don't depict an increasing or decreasing pattern consistently. Therefore, we can conclude that the exchange rates remained generally consistent during the provided period.

Seasonality or Recurring Patterns

From a straightforward observation of the data, there doesn't seem to be any apparent seasonality or recurring patterns with respect to time. The rate fluctuates slightly, but these fluctuations are distributed randomly and do not follow a distinct pattern which would designates a seasonality trend. This could be because the provided data is too short a period to extract significant seasonal trends.

Outliers and Unexpected Exchange Trends

In a broader view of the data, I would mention that I found no noticeable outliers in this case. The exchange rate doesn't deviate significantly from an overall range bound by its minimum and maximum. Therefore, no anomalies or particular instances were observed, wherein the exchange rate significantly strayed from expected patterns based on prior and subsequent data.

In conclusion, the data indicates a generally stable exchange rate with no distinct seasonal trends or observable outliers. This is purely based on the data provided, and real-time tracking of the exchange rates might reflect fluctuations due to myriad factors not captured in this specific dataset.

Summary of Yesterday

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

Statistical Measures

  • Mean:
  • Standard Deviation:

Trend

Overall Trend Analysis

The overall trend of these exchange rates seems largely stable. The BDT rate throughout the given period ranges between 0.01246 to 0.01254. The value increases and decreases at a minute level, fluctuating between a narrow band. The average rate throughout seems to be around 0.0125, indicating minimal volatility during the provided timestamps.

Seasonality or Recurring Patterns

Regarding seasonal patterns or trends, it's tougher to detect with the provided data. Given the small range of fluctuation and lack of a broader contextual timeline, there seems to be no clear seasonality in these exchange rates. However, the data does provide an insight into how the exchange rate fluctuates within a single day, seemingly with more volatility during certain periods - though this isn't consistently noticeable. It would require data from more days, ideally across several years, to truly understand any recurring patterns or seasonality.

Outliers

From an initial inspection, there's no noticeable deviation from the established trend. No prominent outliers are visible, with all rates behaving within a minimal range bracket of 0.01246 and 0.01254. The dataset indicates that the BDT exchange rates, during the provided timestamps, maintain a stable pattern with no significant fluctuation.

Summarized Observations

  • The BDT exchange rate remains relatively stable throughout the provided timeline, with minor fluctuations within a tight range.
  • No clear trend of rising or falling rates is visible within the confined time frame.
  • No significant seasonal or recurring patterns are apparent based on a single day's data.
  • No discernible outliers were found during the period under review.

Disclaimer

This analysis only covers the data presented and the short timeframe it represents. Additionally, it doesn't consider the effects of external factors such as market timings, weekends/holidays, or significant global economic events that could potentially influence foreign exchange rates. Additionally, the detailed study required for an in-depth understanding of seasonal patterns and other nuanced patterns is constrained by the amount and variety of data offered.

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 in Exchange Rates

Based on the data provided, it appears that the exchange rate for BDT remains largely stable over the observed period. The values fluctuate between 0.01246 and 0.01252, which indicates that the currency depicts a low volatility. There doesn't seem to be a prevailing trend of either increasing or decreasing, as the changes in the rates are minor and frequent back and forth between these values.

Seasonality or Recurring Patterns

It is hard to observe clear seasonal trends or recurring patterns in this dataset as we only have data for a single day. The currency's exchange rate doesn't appear to be significantly influenced by the time of day, but proper time-series analysis with periodical data (daily, monthly, yearly) might reveal more details in terms of seasonality or recurrent patterns.

Outliers Analysis

Given the narrow range of values, the data contains no significant outliers, or instances where the BDT's value deviates significantly from the trend. The highest exchange rate observed is 0.01252 while the lowest is 0.01246, which is a typical fluctuation for currency exchange rates over a short period.

Conclusion

From this analysis of the given time-series financial data, we can conclude that the BDT's exchange rates remained quite stable over the course of April 23, 2024, with very minor fluctuations. A broader scope of time would be necessary to identify any trends, seasonality or external factors affecting the value. It's crucial to incorporate more extensive data to make a more informative financial analysis.

Summary of Last Month

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Statistical Measures

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Trend

Understanding the overall trend of the exchange rates

Observing the provided dataset, it can be noted that the exchange rate of BDT (Bangladesh Taka) seems to mostly remain stable within the 0.01247 and 0.01252 range across the different timestamps. However, some fluctuations within this range can be observed, indicating a degree of volatility in the rates. The commencement of the data, around midnight of 22nd April 2024, sees a starting rate of 0.01252 which drops to 0.01249 by the early hours of morning and then slightly oscillates around this value for the rest of the day.

Identifying seasonality or recurring patterns in changes of exchange rates

Upon analysis, it appears that there is no distinct recurring pattern or seasonality within these provided hourly exchange rates. While there are fluctuations noted in the values, they are not following a specific recurring pattern within the 24-hour cycle of the observed day. This might potentially change with data extended over the span of a week or a month which may result in discernible patterns involving market opening and closing hours, if any.

Noting outliers in the exchange rates

An outlier in this context would be a sudden major increase or decrease in the exchange rate that does not align with the rate's trending behavior. Inspecting the given dataset, no such outliers are observed. While there are fluctuations, they remain within a very slight range without any unexpected leaps or drops.

Summary

In summary, while the BDT exchange rate exhibits some volatility throughout the day of 22nd April 2024, it remains relatively stable within a narrow range of 0.01247 and 0.01252. There doesn't appear to be a distinct recurring pattern or seasonality at hourly intervals for this specific day. Moreover, no significant outliers that deviate from the general range are observed

Summary of Last Week

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Statistical Measures

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Trend

Overall Trend

The overall trend for the given date range seems to show a steady increase in the exchange rate from 0.01236 starting 22nd March, 2024 to a peak of 0.01257 on 15th April, 2024. After reaching this peak, the exchange rates slightly decrease and stabilize around 0.01250-0.01255 towards the end of our dataset on 19th April, 2024.

Recurring Patterns and Seasonality

From the given data, a daily seasonality might be inferred, but it's not very significant. There is a slight indication that the exchange rate starts and ends with higher value during the early hours and late hours of the day. Since we are analyzing a short period of 28 days only, we cannot firmly conclude on any weekly, monthly, or annual seasonality pattern.

Outliers

There don't seem to be any significant outliers over this period, indicating exceptional movement in exchange rates. However, observing the maximum value at 0.01257 and minimum value at 0.01229, it can be inferred that the exchange rate does undergo minor fluctuations during the month-long period. However, these degree of fluctuations are quite common in forex markets and do not indicate a significant outlier event.

It is important to note that for a more concrete analysis, other external factors such as the release of key financial news & reports, market opening/closing hours, weekends/holidays, etc. can impact exchange rates which have not been accounted for in this analysis as per your requirement.

Conclusion

The general trend in BDT exchange rates over the period from 22nd March, 2024 to 19th April, 2024 is of a slight increase followed by a slight decrease and stabilization. There don’t seem to be any significant outliers. While there are minor daily fluctuations, any significant seasonality patterns could not be identified based on the data provided.

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 Exchange Rates

The given dataset represents the exchange rate of BDT (Bangladeshi Taka) observed consecutively over several time points between 15th April 2024 and 19th April 2024. Given the specific request, I will not consider any external influences nor predict future rates. Here is a comprehensive analysis:

Overall Trend Analysis

The exchange rate is generally stable but with minor fluctuations. The value keeps oscillating between approximately 0.01252 and 0.01261. There doesn't seem a definitive increasing or decreasing trend in this short span of data provided.

Seasonality or Recurring Patterns

Given the time series data for only five days, it is challenging to pinpoint any clear seasonality or recurring patterns. Longer time frames, such as yearly or monthly data, would be needed to better assess this aspect. However, with the provided data, no definite seasonal patterns emerge. The data doesn't depict any clear patterns based on the timing.

Identification of Outliers

An outlier in this case would be a rate significantly distant from the others in the series. Observing the given dataset, all rates fall within a very narrow range and there doesn't seem to be any distinct outliers. The exchange rate differences are minor with no significant spikes or dips.

In conclusion, this dataset represents a period of relative stability in the exchange rate with minor fluctuations without any clear upward or downward trend. Also, no seasonality or clear outliers were found within these data points.

Note: Financial data trends and patterns are typically more visible and interpretable in larger, more extended datasets. For more detailed analysis and to identify seasonality or trends, it is suggested to examine data over a longer time period.

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

To analyze the data, I am going to first explore the overall trend, identify any seasonality or recurring patterns and then note any outliers in the exchange rates.

1. Understanding the Overall Trend

Looking at the provided data, the overall trend of the exchange rate appears to be relatively stable. There are minor fluctuations in the BDT rate, ranging from a low of 0.01248 to a high of 0.01255. However, there isn't a clear linear trend either upward or downward.

2. Identifying Seasonality and Recurring Patterns

Considering the time span of data points is less than a day, it's difficult to determine any seasonality or recurring patterns within this dataset. With more data spanning across multiple days, weeks, or months, we would be able to identify daily or weekly patterns.

3. Noticing the Outliers

Inspecting the dataset, it doesn't seem to contain any major outliers or instances where the rate notably deviates from the general trend. The minute-to-minute fluctuations in the rates seem to fall within a predictable, narrow range. However, without a deep statistical analysis, this is only a preliminary inspection and may warrant a deeper look.

In conclusion, the BDT exchange rate data presents a stable trend within limited range during the period shown, with no obvious seasonality or outliers from visual inspection. A more profound analysis might require a larger dataset and implementing statistical tests.

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