double moving average crossover strategy

The Double Moving Average Market Trading Method was a trading strategy based on technical analysis. It used the important trend signals that the moving average often showed in the futures market to help traders determine the timing to buy or sell. This strategy is based on the intersection of the short-term moving average and the long-term moving average as a signal to trade. When the short-term moving average crosses the long-term moving average from below, it is considered a buy signal. Conversely, when the short-term moving average crosses the long-term moving average from above, it is considered a sell signal. The double moving average trading strategy was a common and simple technical analysis method that was suitable for the futures market. It uses the intersection of two moving average lines to determine the timing of buying and selling. The long-term moving average generally represents the trend, while the short-term moving average represents the short-term fluctuations of the market. This strategy was widely used in the futures market. It was a relatively stable and profitable trading method.

Yin Baohua's stock moving average strategy was that when the 25-day moving average crossed the 99-day moving average, it indicated that the market buying was gradually increasing, and the subsequent market sentiment was dominant; on the contrary, it indicated that the short-selling situation was taking shape. This method would be more accurate and reliable in terms of operational choices and risk control. The specific moving average was set as follows: 165 days for Line 1 (for new shares and 144 days for old shares), 25 days for Line 2, 318 days for Line 3, 453 days for Line 4 (lifeline), 550 days for Line 5, 610 days for Line 6, 730 days for Line 7, 880 days for Line 8, and 99 days for Line 9. In addition, the daily line uses the 14, 25, and 99-day moving average, and the weekly line uses the 181, 272, 33, and 99-day moving average. The setting of these average lines could help investors analyze and judge the overall situation, and make investment decisions based on the fundamentals and financial data of individual companies.

The 40-month moving average was a long-term moving average with high analytical value. It reflects the average price of a stock over the past 40 months (that is, three and a half years). According to the information provided, we can conclude that the 40-month moving average has a certain importance and influence in stock market analysis, but the specific benefits and strengths need further analysis and research.

Yin Baohua's 43 moving average was an investment indicator, and its calculation method was relatively simple. Yin Baohua's 43-day moving average was calculated by adding the closing prices of the last 43 trading days and dividing by 43. The result was the 43-day moving average. Yin Baohua especially valued the 43-point moving average and called it a mysterious and magical line. When the K-line drew back to the 43-day moving average, according to the "online Yinxian buy" operation method, there was no profit. In addition, Yin Baohua also used other average lines, such as the 5, 30, and 60-day average lines. In terms of the weekly average, he only used a 181-week moving average. In general, Yin Baohua's 43-point moving average was considered an effective stock selection indicator that could provide more accurate investment signals.

The latest information on Yin Baohua's moving average setting parameters. According to the contents of documents [1],[2],[3],[4],[6],[7],[9], and [10], Yin Baohua's moving average setting parameters are as follows: Line 1:165 days (for new shares, 144 days for old shares) Line 2:25 days 318 days Line 4:453 days (also known as lifeline) 550 days Line 6:610 days Line 7:730 days 880 days Line 9:99 days Work time: 14 days Zhou Xian: Line 1:181 days (dividing line between bulls and bears) Line 2:272 days Line 3:33 days (Fortune Line) Line 4:99 days Time-sharing line (5-60 minutes): 55、103、453 This was the latest information on Yin Baohua's moving average setting parameters.

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