What are the effects of non farm oil?
However, we can often see the value of non farm data before, the predicted value and the actual value of the three published values, the former value is the actual value of the last month we have published, which is a basis for the data. The predictive value is the market on this basis, to predict its economic development according to the economic data in the United States since a month is to predict a value on the payrolls data after the arrival of the predictive values represent the market expectations. Therefore, we want to determine the market through the actual value to reflect the market, it is necessary to compare the actual published value and the value of the gap between the forecast, which further determine the price trend of crude oil. In simple terms, when the actual value is greater than the predicted value, bad crude oil; when the actual published value is less than the predicted value, bullish crude oil.
The U.S. economy is positive bullish for the dollar is negative for crude oil; the non-agricultural economy is negative for the dollar is empty the favorable oil; basically non-agricultural data for crude oil in the stimulus amplitude above 100 points, the individual will be unilateral volatility 400. So if the investor's funds are not very large, it is recommended not to order the data out before, such as market stability and then re approach. Do not chase sell.
The impact of non farm data on crude oil prices and spot crude oil is very obvious, investors need to pay special attention to. Non farm and crude oil is inversely proportional to the relationship.
The number of non farm employment is the employment situation in the United States reflects the employment situation in the United States, reflecting the U.S. economy from the side, if the non farm data is good, the U.S. economy is good, poor agricultural data, the U.S. economy is poor.
