First of all, we can infer from the previous relevant non-agricultural data that non-agricultural data should not be underestimated as a barometer of non-agricultural data. Relevant data, such as ADP data, the number of initial jobless claims, previous non-agricultural data and the overall level of unemployment rate, can be used as some effective evidence for our evaluation of non-agricultural data.
1, back-to-back positions. Before the release of non-agricultural data, many investors like to open long and short positions at the same position and the same price, which is called back-to-back positions, and then set reasonable stop losses for each, so as to obtain unilateral positions. Then there is a unilateral rise or fall, the deviating party stops loss, and the delayed party makes a big profit. In this way, we are worried about the shock, because in the shock market, we may be swept on both sides and the unilateral market is profitable.
2. Breaking the pending order method. Although it is similar to back-to-back positions, one thing is to break through the entry, and the data will come out before entering the market. For example, before non-farming, taking the spot silver price of 4000 as an example, it broke through 30 points and broke through the next 30 points. Once the market goes unilateral, it will form a breakthrough and enter the market directly. However, if the other party does not enter the market because it has not touched it, it can be deleted manually, and the other party will make a profit when placing an order. However, if the data has little impact, it is necessary to leave in time. Of course, shortcomings are also common, and we are still afraid of shocks. Once there is a shock, both parties will buy it and it is easy to lock the position. Therefore, it is necessary to guard against the emergence of such orders.
Two: Make the order according to the actual data.
In ordinary transactions, this is a common operation mode. Whether it is non-agricultural or other heavy news, this method is the most common, and the homeopathic transaction is compared according to the actual value and the expected value. The disadvantage of this kind of transaction lies in the great lag, because the news affects the market fluctuation, the speed is fast, the continuity may be poor, and the data may be good or bad, which may lead to market losses.