Cordoba Oro Forecast

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overall Trend Analysis of the Exchange Rates

Upon the initial review of the dataset, it can be observed that the exchange rates fluctuated between 0.0371 - 0.0373 over the given period. The rates appear slightly volatile within this range, but overall did not show any drastic increases or decreases.

Seasonality and Recurring Pattern Analysis

In terms of recurring patterns or seasonality, the data sample does not cover a long enough period to definitively validate any seasonality in the exchange rates. However, from a partial trend perspective, we can see that there are minor changes in the rates every few hours.

Outliers and Significant Deviations

The dataset does not seem to contain any significant outliers or instances where the exchange rate differs significantly from what would be expected based on the observed trend. The fluctuations are within a limited, predictable range given the values presented in the data.

In conclusion, this analysis provides a basic understanding of the exchange rate patterns over the given period. It's essential to be aware that the nature of foreign exchange markets can exhibit significant volatility depending on many factors-- including both predictable economic events and unforeseeable geopolitical changes. Therefore, while regularities can be observed, the rates are subject to change and should be continually monitored.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

1. Overview of the dataset:

The dataset consists of time-stamped data for the exchange rate of NIO. These data points are marked at various time intervals, providing a time series data for analysis.

2. Overall Trend:

After observation of the data, the overall trend indicates minor variability in the exchange rate within the given period. The exchange rate starts with 0.03732 at the beginning of the timeline, slightly dropping to 0.03731, then gradually goes up to 0.03738 in the middle, again falling down to approximately 0.03718 and closes around 0.03725 towards the end. This shows the exchange rate underwent various fluctuations during the period but overall, on a macro level, the exchange rate appears relatively stable with no significant upward or downward trend.

3. Seasonality:

Due to the short time frame of just one day, and the nature of the forex market which runs 24/7, it’s hard to specifically extract seasonality patterns from this dataset alone. However, some regular intra-day fluctuations can be observed, which may require more data and possibly frequency decomposition methodologies for a clearer understanding.

4. Outliers:

The exchange rate data appears to stay within a tight range indicating the absence of any major outliers in the set. The minor fluctuations throughout the data set seem to be normal market variations rather than outliers or abnormal data points.

5. Conclusion:

Overall, it can be inferred that the NIO exchange rate against the currency in question has remained fairly stable in the provided period with no major jumps or drops. The minor fluctuations observed can be attributed to the regular behavior of the forex market.

Note: This analysis has been made purely based on the numerical data available in the absence of any specific events or external factors, as instructed.

Summary of Yesterday

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

Statistical Measures

• Mean:
• Standard Deviation:

Trend

Overall Trend of Exchange Rates

From the provided data, it appears there is a slight increasing trend in the exchange rates over time. We see the rates oscillating between 0.03718 and 0.03732, with a gradual increase in the values from the start to the end of the dataset. However, it's worth noting that overall, the fluctuation range of the rates obtained is quite small, indicating a relatively stable currency exchange market for the given period.

Seasonality and Recurring Patterns

Given the dataset does not cover a wide time span and does not specify any seasonal period, it's difficult to observe explicit seasonality. However, one pattern that can be seen is consistent small fluctuations in the exchange rate throughout the day. The rate seems to go through periods of subtle increases followed by similarly subtle decreases. This possibly could be explained by the intrinsic nature of the foreign exchange market rather than a seasonal dynamic.

Notable Outliers

At a glance, there seems to be no significant outliers in the exchange rate data. The exchange rate remains within a tight range throughout the period, suggesting that it's quite stable. Any minor fluctuations possibly could be attributed to typical daily volatility that's expected in currency exchange rates. However, for a more concrete conclusion, further statistical analysis that is beyond the boundaries of this current scope would be needed.

Remark

Please note, this analysis is based purely on the interpretation of the data provided and it does not take into account any external influences such as socioeconomic or geopolitical events which could potentially be influencing the exchange rates. Indeed, exchange rates are affected by a multitude of factors ultimately tied to the economics of the respective countries, such as inflation rates, interest rates, and public debt. Understanding those factors would add significant depth to this analysis and might explain the reasons behind the observed trends.

Summary of Last Month

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Statistical Measures

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Trend

1. Understanding the Overall Trend of the Exchange Rates

Upon analyzing the given data, it's evident that the NIO exchange rate mostly fluctuates around a relatively stable average value during the provided timestamp. The exchange rate begins at 0.03732 on 2024-04-22 00:00:02 and ends at 0.03725 on 2024-04-22 23:55:02. It doesn’t exhibit a clear increasing or decreasing trend over the time period observed. A slightly lower volatility can be observed as the value mainly stays between 0.0373 to 0.0372 throughout the timespan.

2. Identifying Seasonality or Recurring Patterns

Given the data spans a single day, it’s difficult to identify any seasonality or recurring weekly, monthly, or annual patterns, as these would require a longer timeframe to determine. However, considering the hourly changes, there are no prominent patterns or trends that can be discerned. The exchange rate seems to hover around an average value with minor fluctuations throughout the day.

3. Noting Any Outliers

There are no significant outliers observed in this one-day dataset. Most of the exchange rates are closely packed around the average value with few stray values that don’t significantly disrupt the general trend or pattern.

Note: Since the provided data covers an extremely short period (i.e., one day), the conclusions about trends, seasonality, and outliers are not as robust as they would be with a more extensive dataset that covers longer periods (multiple months or years). For a more comprehensive analysis, a dataset spanning a longer timeframe would be ideal.

Summary of Last Week

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Statistical Measures

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Trend

Comprehensive Financial Analysis

1. Understanding the overall trend of the exchange rates

From a high-level view, it seems the NIO exchange rate shows a general trend of both slight increase and decrease throughout the given period. During the initial phase, there is a mild increase from an exchange rate of 0.03665 to a peak of 0.03701. Afterwards, there is a slight decline that takes it to a low of 0.03664. This cycle of modest rises and falls continues throughout the dataset, bit without any drastic changes to the exchange rate. Certainly, the NIO exchange rate in this dataset can be described as relatively stable.

2. Identifying any seasonality or recurring patterns in the changes of exchange rates

Time-series data often contain underlying patterns or cycles called 'seasonality', which are patterns that repeat periodically. Upon examination, however, the data provided in this case doesn't appear to exhibit strong seasonality patterns on the timescales provided. The exchange rates fluctuate up and down without any evident recurring cycle.

3. Noting any outliers or instances where the exchange rate differs significantly from what would be expected based on the trend or seasonality

As spotted from the raw data, there aren't any significant deviations or outliers in the data; the exchange rate stays within the standard deviation range. The fluctuations are moderate, and none of the rates seem to be extraordinary or significantly different from the others. Hence, we can consider that the dataset follows a consistent, relatively stable trend without any major reports of volatility.

Conclusion

In conclusion, the NIO exchange rates within the provided time-series data display a consistent, relatively stable trend without stark increases or decreases. There are no discernible seasonal patterns, and there are no instances of significant outliers. These observations suggest a somewhat stable market condition for NIO during the given timestamp. However, it's important to note that while this analysis provides a snapshot of past behaviours, exchange rates are influenced by a myriad of unpredictable factors and can change rapidly.

Please note this analysis doesn't consider any external factors like market opening/closing hours nor does it attempt to forecast future rates. It is purely based on the existing 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

Overall Trend in Exchange Rates

The exchange rate of NIO seems to fluctuate slightly over the given period. The rate starts at 0.03736 on 2024-04-15 01:00:02, with loosely stable fluctuations around this value, before ending at 0.03718 on 2024-04-19 13:00:02. Some upward and downward tendencies can be observed, but they do not occur over a persistent period suggesting no overall definitive increasing or decreasing trend. Instead, the values hover around an almost stable mean.

Seasonality or Recurring Patterns

The data does not seem to exhibit a clear seasonal or recurrent pattern in the given time series over these few dates. Here, we define a 'season' as a fixed and known length of time that brings about similar patterns in the data. Considering the high frequency of the data (hourly data points) and the relatively short period (from April 15 to 19, 2024), it would be challenging to infer any seasonality. We would need more data spanning multiple cycles continuously (as in months or years) to identify any seasonality accurately.

Notable Outliers

Major notable outliers, i.e. single instances where the exchange rate differs significantly from its neighbours, do not evidently feature in the dataset. If any, they are inconspicuous due to the minute fluctuations and would require a specific outlier detection statistical method to detect. Therefore, any deviations in our case could likely be due to natural variability or noise in the data. However, for any rigorous anomaly detection, further and more detailed analysis would be advised, possibly involving statistical techniques.

Please note that this preliminary analysis is purely based on the data provided and does not consider effect of external factors like market opening/closing hours, weekends/holidays, or the release of key financial news and reports, and no forecast for future rates is generated.

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 overall trend of the exchange rates shows a relatively stable exchange rate with slight fluctuations. From the provided data, the lowest recorded rate is 0.03718, while the highest recorded rate is 0.03741. The difference is minimal, indicating exchange rates remained relatively stable throughout the period.

Seasonality or Recurring Patterns in Exchange Rates

Due to the data provided, it's difficult to definitively confirm or deny seasonality or recurring patterns. However, observing the trend, there doesn't appear to be a significant noticeable pattern. The rates have minor fluctuations at different intervals.

Outliers in the Exchange Rates

The nature of the dataset and the stability of rates make it challenging to identify clear outliers. However, one instance that could be considered an outlier is the spike to 0.03741 on 2024-04-19 at 06:25:02 and 06:30:02. This amount is slightly higher compared to the rest of the rates. It's worth mentioning that the difference is still minimal and within a close range to the rest of the data points.

Additional Notes

• There is a noticeable decrease in the exchange rate from 0.03733 at 01:25:02 to 0.03725 at 02:20:01. Although not an outlier, such declines are worth noting for analysis purposes.
• The data shows the exchange rate recovered after the minor decreases and again began to stabilise around the usual range.

Please note this analysis is based pure on the provided numerical dataset and ignores the potential impacts of external variables such as financial changes, global market fluctuations and news events.