Do you use a couple to calculate the binding force

7. The above theorization is too serious, beginners don't need to care about so much nonsense

to put it simply, we usually look at two lines, a 5-day moving average (weekly line) and a 20 day moving average (monthly line). Now it's a bull market, the stock generally goes up along the 5-day moving average, the 20 day moving average is the support line, and falling below the 20 day moving average is generally a reversal, except for ex dividend
another issue that should be paid attention to in extraordinary times is the 60 day moving average (March line), which generally represents the bottom line in the medium term. Yesterday's market was supported by the 60 day moving average.

8. The K-line chart is usually divided into daily, weekly, monthly, seasonal and annual K-line charts. The daily K-line chart is usually used at most. There are 5-day, 10-day, 20-day, 30 day and 60 day moving averages in the chart, which are displayed in white, yellow, purple, green and blue colors respectively. The parameters and colors of each line can be changed. Those moving averages can become support lines or resistance lines in different situations, From the moving average, we can see the trend of the stock. In the stock market, the trend is the overall direction of K-line continuous portfolio. For example, the daily K-line is above the 5-day, 10 day, 20 day and 30 day moving average, and each moving average is upward. Although there are rises and falls (the moving average plays a supporting role below the K-line), the trend at this time is upward without change. On the contrary, when the daily K-line is below each moving average, and each moving average is downward, there are also rises and falls (the moving average plays a certain role of resistance when it is above the K-line), the trend at this time is downward without change. If the moving average changes from up to down, or from down to up, then it is possible to change the original trend. The trading point of stock can be selected according to its operation change. 5. The 10 and 20 day lines showed a short time trend, while the 30, 60, 120 and 250 day lines showed a medium and long time trend.

9.

There is a big gap between real-time computing power and local computing power. Generally speaking, the local computing power of the graphics card miner is always stable, while the real-time computing power displayed on the mine pool often fluctuates. Sometimes, the actual computing power of the miner in the mine pool will be higher than that of the local one, and sometimes, the actual computing power of the miner in the mine pool will be lower than that of the local one

in theory, the mine pool only needs to give rewards to each miner (bound address) according to the number of effective shares. However, in the actual process, the mine pool needs to provide a data for the miner to help the miner judge whether the miner is working normally

therefore, according to the weight of each task, the number of effective shares in the mine pool needs to be inversely calculated to calculate a force value, which can be used as a reference for the miner owner to identify whether the miner is working normally. In fact, the mine pool computing power is not your local computing power data, but a data index that can help judge whether the machine is running normally, which is derived from the effective share you submitted

the relationship between local computing power and real-time computing power

generally, the computing power of ore pool will be displayed in two data:

one is short-time computing power, or instantaneous computing power (different ore pools will display 5 minutes, 10 minutes, 15 minutes computing power); The other is the long-term calculation, usually 24 hours

short time computing power, such as 15 minute computing power, is to count the effective shares submitted in 15 minutes, and then dece the average computing power according to the weight. The long-term calculation force is the average calculation force value of the effective share submitted within 24 hours and then deced according to the weight. Then the relationship between the two data depends on the number of valid share submissions in the statistical time

if the operation efficiency of the mining machine is high, and there are a lot of effective shares submitted in this statistical period (for example, within 15 minutes), then the 15 minute calculation power data will be particularly high, even much higher than the local calculation power

(in this case, it can be understood that the machine is overloaded. For example, the capacity of the machine is only 310m, but it has completed the calculation work of 400m in these 15 minutes.) Normally, a machine can't work overload continuously

therefore, we can see that the calculation force curve of mine pool reaction fluctuates in real time, and the less the number of mining machines in the same address, the more obvious the calculation force fluctuation will be, and if multiple mining machines are displayed together, the total calculation force will be more stable. However, the 24-hour average computing power of the ore pool is a relatively stable data e to the long statistical period. Generally, it will be slightly lower than the local computing power

therefore, in many cases, the number of valid shares submitted in this statistical period (such as 15 minutes) is relatively small. Then the 15 minute computing power data at this time will be lower than the local computing power