Rise Fall Rise TMT Exchange Rate Expresses Strong Resilience
2024-05-20
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 provided dataset, it seems that the exchange rate has shown a generally increasing trend over the period of observation (2024-05-20 00:00:02 to 2024-05-20 23:55:02). As the timestamps carry on, the recorded TMT exchange rate values have had a growth trend overall with an apparent daily increase or decrease. However, the growth is not always steady or linear, with several minute fluctuations in the rate throughout the day.
Seasonality and Recurring Patterns
Typically, foreign exchange markets can display intra-day seasonality due to the opening and closing hours of the global financial centers. However, in the given dataset, it is a bit challenging to identify any clear seasonality or recurring patterns due to certain limitations. The dataset is limited to a single day, and the values recorded at specific 5-minute intervals do not seem to present a cyclic pattern that repeats after a fixed amount of time. More extensive data that spans over longer periods could be required to spot any significant seasonal patterns or cycles, such as weekly, monthly, or yearly occurrences.
Outliers Observation
Analyzing outliers in the dataset would require a more extensive approach to understand what should be considered normal volatility in this exchange rate data set. However, just at a cursory level, it does not appear to have any significant outliers or unexpected spikes in the exchange rate within this 24-hour period; the rates generally fluctuate within a small range. That said, exchange rates can often be subject to significant and sudden changes due to various external factors such as geopolitical events, economic data releases, and changes in market sentiment.
In conclusion, please note that this analysis is based solely on the given data and does not consider any external factors like key financial news, market opening/closing timings, or weekends/holidays.