K-line originated in Tokugawa shogunate era in Japan. Because graphics are like candles, they are also called candle maps and Japanese lines. K line represents the opening price, closing price, highest price and lowest price of the stock on that day. The red K line represents that the closing price of the day is higher than the opening price, which is called the positive line. The green K line represents that the closing price of the day is lower than the opening price, which is called the negative line.
A thin line extending upward in the K-line is called the upper shadow line, which refers to the difference between the highest price of the stock on that day and the closing price (positive line) or the opening price (negative line).
A thin line extending downward in the K-line is called the shadow line, which refers to the difference between the lowest price of the stock on that day and the closing price (negative line) or the opening price (positive line).
The daily average is generally divided into five days (MA5), 10 (MA 10), 20 days (MA250), 30 days (MA30), 60 days (MA60) and 120 days (MA 120).
1.k line is a columnar shadow line and a solid line composed of four parameters of stock price: opening, high, low and closing. MovingAverage is a moving average obtained by using the "moving average" principle of statistics to calculate the daily stock price, find an average value and connect them. It is the concrete embodiment of Dow's theory and an important supplement to K-line.
When trading stocks, people often look at the K-line of stocks. Using K-line to find "rules" is also a common method of stock trading. After all, the stock market is changeable, so that we can make better investment and gain income.
Second, the moving average moving average refers to the arithmetic average of the closing price (or index closing point) of a target stock in the last n days. The calculation method is: always divide the sum of the closing prices of the last n days by n as the data of the day; After the first initial data is calculated, it goes forward day by day, and every time a new closing price is added in the average array, the n+ 1 th closing price from the back to the front is eliminated (for the sake of understanding, I will call it "taking new ideas"); Then divide the new total by n to get the data of the new day, and so on. The formula is: ma = (c 1+C2+C3+cn)/n, where c is the closing price of a certain day and n is the moving average period or parameter.