When it comes to data market traders, nothing is more exciting than "non-agricultural data". The appearance of non-agricultural data directly shows that the economic environment of the United States also indirectly affects the trend of the US dollar index, gold and other commodities and currencies. The non-agricultural data is a double-edged sword. Most moderate traders will stay away from the announcement of this kind of data and choose to spend short positions. There is another group of traders who will lurk before the data is released and then attack at any time. And our topic today is to talk about the market trend performance and how to deal with it when the non-agricultural situation occurs. (This article will take EURUSD as an example)
1. Identify the market position of the variety.
Before the data is released, it is necessary to observe where the current market is in the relative cycle, and then conduct a general analysis of the overall market trend.
1. Be clear about the long-short situation of the current market in the main cycle you are trading.
2. Pay attention to the daily volatility of the market of the day and whether the market is trending or oscillating. If the market is oscillating with small volatility, there is a high probability that there will be a wave of trending market when the non-agricultural situation occurs.
3. If the market of the day is a trending market, then you need to switch to the big cycle to find out how much room there is for the support pressure of the specific big cycle in the current market position, and compare these spaces with the volatility of the market that broke out in the day refer to. The key thing to pay attention to is whether there is a resonance position at the support pressure level of the large cycle, which is to prove whether the position is strong and effective.
2. Signal optimization
based on statistical morphological characteristics does not have a great impact on the data market in the large cycle, because the stability of the large cycle will filter out a lot of noise in the small cycle, but the large fluctuations in the key positions of the small cycle are very important It may be the start of a small trend, so next I will mainly show some morphological statistics about EURUSD at 15 minutes and 5 minutes.
Some of the above patterns are basically the patterns that appeared in EURUSD after the non-agricultural situation. how to deal with it.
Scenario 1 : The market on the non-agricultural day has been fluctuating in a small range, so we should pay attention to whether there will be an explosive market when the non-agricultural news is announced.
Case 2 handling method : the market on the non-agricultural day has already had a trend. When the non-agricultural news is announced, we need to pay attention to whether the market will reverse or continue to fluctuate slightly along the afternoon market.
Case 3 handling method : When the non-agricultural data is released, there is no outbreak of the market. When the market noise is particularly loud, we use our own systematic fund management for risk control. Frequent trading in this situation is not recommended.
3. The fund management of the data market.
Everyone's fund management is determined according to their own system. It can be defined according to their own single retracement or they can control their positions according to some retracement point ranges.
When the market breaks out when the data occurs, traders can use the 38.2 position of the Fibonacci dividing line to make a hard stop loss.
1. There is a bottom order before the data is released : traders can use it to reserve a part of the non-agricultural position according to the specific situation of their account. If the market moves in the direction of your bottom order, then you can rest assured. If the sudden outbreak is in the opposite direction to your bottom order, my suggestion is that the profit of your bottom order should be relatively equal to your data loss order, so that it will not cause too much damage. Because everyone's system is different, money management is also different.
2. When there is no bottom order : You need to make statistics about the approximate range of the stop loss amount of your past data market, and then adjust your position according to these amount ranges.
After all, the risk of the data market is relatively high, so it is not recommended for traders to gamble on the data, it is more important to survive in this market.
The data market is a double-edged sword with advantages and disadvantages. In this article, we did not discuss the news of the fundamentals, but used the technical aspects to figure out how to deal with these more complicated trends based on the market trend. The appearance of non-agricultural data in the system of some traders is the breaking point of profit, but we must also bear in mind that risk is always the first in the process of trading, and history will not completely repeat itself, but when some key patterns appear, it is big Probability will follow a similar trend. The most important thing is to determine some risks in transactions according to your own risk control.
Add
