2024-05-10 Hong Kong Dollar News
2024-05-09
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
Looking at the dataset, we can see that the exchange rate of HKD (Hong Kong Dollar) shows minimal fluctuation. This indicates a relatively stable trading environment for this particular timeframe. The rate starts at 0.17563 and ends at a slightly lower rate of 0.17518. This indicates a very slight overall decreasing trend over the entire period covered by this dataset. However, it's worth noting that such a small change over the significant timeframe covered does not represent a substantial decrease. The highest rate achieved was 0.17576, and the lowest rate dipped to 0.17496. These figures further underline the relative stability of the exchange rate in this timeframe.
2. Identifying seasonality or recurring patterns
From the data set provided, it is difficult to straightforwardly discern any clear or strong seasonality or recurring patterns. The dataset would need to be analyzed over a longer period for any potential seasonal trends to emerge. However, there appears to be slight changes between different hours of the day, which might suggest influence from the market opening or closing hours, e.g., the rate peaked multiple times towards the start of a new day. A deeper analysis with more dataset and with insights from different days, weeks, and months could provide a clearer image about potential recurring patterns.
3. Noting any outliers
There is minimal variation in the exchange rate within the dataset, making each value relatively close to the next. This lack of extreme highs or lows suggests that there are no major outliers in the data. The given data maintains a relative contiguity with only minimal spikes and dips in the rates. While there are certainly ups and downs on the dataset, none of these appear to be severe enough to be considered as 'outliers'. They more likely indicate minor fluctuations in the market.
