[blackcat] L1 Volume Dynamics

Level: 1

Background

Use the difference of Jurik MA and SMA equivalent (ALMA) to observe something new for volume.

Function

Trading volume is an important technical indicator that is not easy to see the law. I try to match the trading volume with the deduction theory, and the deduction double-average theory is matched with the measurement capacity. I will compare the two moving averages of ultra-short-term, short-term, medium-term and long-term. The faster moving average I choose is Jurik MA (JMA), because it is faster than EMA under the same parameters, and the smoothing effect is very good. In addition to the slow moving average, I use ALMA to benchmark SMA. Because the smoothing properties of ALMA are better. A law is used here, that is, the equivalent relationship between ALMA and SMA is approximately a Fibonacci sequence. I can dynamically apply this amount to the Bitcoin market and see some interesting phenomena.

What is double average volume? According to normal circumstances, JMA will follow the transaction volume faster than SMA. The transaction volume is normally rising above the double average volume, and the transaction volume is normally falling below the double average volume. When the SMA follows the trading volume faster than the JMA, it is abnormal (usually occurs in the divergence segment), that is, the JMA is above the SMA, but the trading volume is below the SMA (the bottom divergence volume pile), the top divergence volume pile is the opposite process. The trading volume is between the double average volume, which is the finishing volume energy. It can be used in the breakthrough of the box and the bottom of the pot. By comparing the strength of the current trading volume with the strength of the trading volume on the upper edge of the box or bottom structure, it can improve the success rate of predicting the breakthrough, especially for the observation effect of large funds latent.


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