2024-05-09 Gold News
2024-05-08
Summary of Yesterday
- 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 of the exchange rates
Looking at the data, we see that the exchange rates have seen some minor fluctuations over the course of the recorded timestamps, but the values generally revolve around three figures: 3174.60317, 3184.71338, and 3194.88818. The range of the exchange rate lies within a relatively narrow band indicative of a stable rate with minimal volatility. At the macro level, rates appear to have neither significantly increased nor decreased overall, indicating that the rate remains stable over the period shown.
2. Identifying any seasonality or recurring patterns
Given the dataset's nature, it would be challenging to identify any seasonality strictly from the provided data, as it does not seem to have data for a complete year or any discernible pattern repeating at regular intervals. However, we can observe some mild fluctuations in relation to specific bands of rates. The exchange rates repeatedly cycle through these bands. Without additional data or context, it's difficult to attribute these changes to any seasonal or recurring patterns.
3. Outliers or spike identification.
Throughout the period covered, the dataset does not exhibit any significant jumps or drops, suggesting minimal instances of spikes or dips in the exchange rate. The rates remain relatively consistent, suggesting a lack of any significant outliers or instances where the exchange rate differs considerably from the overall average trend. A closer analysis might reveal minor fluctuations, but they don't seem to differ long from the average, indicating a stable trend.
In conclusion, in the absence of additional context or data, the provided set of exchange rates appears steady over the recorded period exhibiting subtle oscillations about common rate figures. However, it's essential to approach these insights as purely data-based, and they don't necessarily encapsulate the multitude of external factors that could influence these rates in a real-world scenario.