2024-04-23 Turkmenistan New Manat News
2024-04-22
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
1. Understanding the Overall Trend
After examining the time series data given, it can be observed that the overall trend of the TMT exchange rate is relatively stable with minor fluctuations. There’s no clear-cut evidence of a consistent increase or decrease during this period. The rates varied between approximately 0.390 and 0.392 units throughout the given timeframe.
2. Seasonality or Recurring Patterns
In terms of seasonality or recurring patterns, the data does not clearly suggest a specific pattern within the given timestamps. Small crests and troughs exist around certain intervals, but these do not appear to follow a consistent cycle or recurrence. It is important to note that without incorporating external factors like specific event occurrence or weekly cyclical patterns due to market activity or financial news releases, identifying a seasonality might be challenging here.
3. Outliers in the Exchange Rates
The dataset appears to be relatively smooth without any significant spikes or drops indicative of outliers. Since outliers are generally detected as values that deviate significantly from the overall pattern or trend, the absence of such a value implies that there are no outliers within this dataset. Therefore, all values of the exchange rate remain within a reasonable range of fluctuation and follow the prevalent trend.
Conclusion
As a whole, the interpretation of this dataset portrays a stable landscape for the TMT exchange rate. Despite small fluctuations, the rate remained relatively consistent throughout the covered period. Furthermore, there was no clear evidence of repeated or recurring trends in this dataset. This seems to reflect a period of stability with insignificant disturbances. As a financial analyst, it's essential to remember that the examination of time series data, like this, can offer invaluable insights into potential trends, anomalies, and patterns; however, it might not always signal future behaviours accurately.