It caused gold to drop by $100!!!Due to the release of the February non-farm payroll data, gold fell nearly $100. This month, we will soon face the baptism of another major non-farm payroll data, which is a great opportunity for gold traders. As long as we grasp the trend correctly, the profit from a single trade can be considerable. This data will be released on March 10th.
As of the close on March 3, gold has broken through the resistance level of $1850, and the next resistance level of $1860 is within sight. Therefore, in next week's trading, I will continue to go long on gold until the trend changes. I have also prepared myself for the release of the non-farm payroll data, and I believe the results will be very friendly. Let's wait and see.
Here, I will explain how non-farm payroll data affects the price of gold:
The number of non-farm payroll employees is the main indicator of the US employment market, and its impact on gold is significant. Generally, if the non-farm payroll employment number is higher than expected, it means that the US employment and economy are improving, which is good for the US dollar but likely to cause gold to fall. Conversely, if the employment number is lower than expected, it means that the US employment and economy are declining, which is bad for the US dollar but likely to cause gold to rise.
Of course, this is not entirely certain , as unexpected situations may arise. For example, sometimes the market may move in the opposite direction to the data, where the released data is better than the previous value (i.e. bullish data), but gold prices fall. Conversely, sometimes the data is bearish, yet gold prices rise. There are many reasons for this, such as the difference between the released data and the forecast being too small to make a significant impact, the market having already priced in the information before the data release, or other events occurring simultaneously that have a greater impact on the market.
Therefore, when trading, we must pay attention to these aspects of influence and not rely solely on the positive or negative aspects of the data to decide whether to go long or short. I have prepared myself for trading non-farm payroll data, so follow me and let's maximize our profits together!
