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How to worry about futures shock market strategy
First, manual trading-a strategy to deal with market fluctuations;

In fact, it is unrealistic to make a big profit in a volatile market. People only realized that they had been sideways in the near future when the volatile market appeared. Without a big unilateral market, how can they make a profit? But it is possible for us to make a small profit by adjusting our trading strategy or adjusting our positions. As mentioned above, you must pay attention to the position where commodity prices run. If it rises to the top of the previous band or falls to the bottom of the previous band, you need to take measures to prevent sideways trading. Overnight trading can be adjusted to intraday trading to avoid losses caused by gaps in the reverse market. Once the long upper shadow line is pulled out at the top or the long lower shadow line is closed at the bottom on the previous trading day, it indicates that the short-term market has reversed and may be sideways. But once the market effectively breaks through the previous high or bottom, there will be a bigger trend market.

Second, the coping strategies of futures fluctuation in programmed trading;

Quantitative trading is completely different from manual operation, so how to prevent shocks is a subject that system traders must study. Zhiguan Yin Feng mainly uses three ways to deal with the quantitative trading of sideways trend for everyone to learn and study.

1, because from the wave principle, a trend market is followed by a sideways arrangement. In quantitative trading, programming can make this volatile market not trade or trade less, or reduce position trading to avoid the risk of shock.

2. Improve the adaptability of programming to the market, that is, add anti-shock strategies to the program, such as analyzing not only the price changes, but also the capital flow such as positions, so as to prevent the stop loss or unnecessary opening and closing operations caused by market fluctuations.

3. Select the K-line with longer period for analysis. Judging from the fluctuation law of price operation, the short-term price change is random, a chaotic body with no trend, so it is more likely to fluctuate. For example, TB-30 system, an intraday trading model developed by Zhiguan Yin Feng, uses 30-minute intraday trading, but the signal is the instruction price, which not only achieves the purpose of sending out the signal in time, but also achieves a certain anti-shock strategy. Because the model has a 30-minute selection period, there are only 8 K-lines a day, and generally it is traded twice a day at most, so this strategy effectively avoids the risks of repeated opening and stop-loss returns in intraday volatility, and also reasonably controls the number of transactions.