Te trend length can be equal either to L, 2L, rarely 3L for one time frame. Te stopping price always seeks to L. In this study, the maximum trend length on the weekly time frame, or the minimum trend length on the 5 minute time frame. Te length of trends on the time frames: 1H, 1Day and 1Week, are multiples of the length of trend on the 5 minute time frame. It can be said that the trends of the time frames are "stacked» to each other, and any event

that happens in

the trend of an instrument on one time frame, always affects the events that are happening or will happen in the trend of this instrument on the other time frames.

All prices, coefficients and results of calculations are collected in the Blocks -"Block-Chain”.

Block 1-contains all the information from the beginning of a trend to the 1St Stop of price change.

Block 2 -contains all the information from the 1St the 2nd

Stop of price change to Stop of price change.

Block N -contains all the information from the Nth Stop of price change to the (N+1) Stop of price change.

(see Figure 1 - table2)

Interpreting the signals and Conclusion

In this article I don’t describe the algorithm for the complex analysis of

2. Once tuned, this method doesn’t require any additional adjustment.

3. Tis method can be tuned virtually to any instrument. It has been configured to three instruments

signals. You can find a few examples on figure 1.

Te method allows to receive the following

signals: growth,

movement reversal, rebound up, rebound down, continue moving up, continue moving down.

In addition, in the row of blocks (Block-Chain) the levels of support and the levels of resistance are clearly visible. Interpreting the behavior of the stopping prices between them, we can quite accurately predict the direction of price change (movement) between the levels (breakout).

During testing from 26/06/2018 to 25/01/2019, instrument USD, the time frame 1H at the stock market MOEX, 77 signals were received. Te coincidence of the received signals with the prices changing at the market, with their complex analysis from the 4 time frames, amounted to 87%.

Integrated system analysis of price change (movement) in trend has the following advantages:

1. It is an individual analysis. To work, it must be “snapped” to an instrument.



and four time frames, and could be configured to 300 instruments. Te main rule is the publicity of an instrument, its liquidity and the minimum of "insiders".

4. Te comprehensive system analysis of signals from 4 time frames simultaneously increases the accuracy of forecasting of price movement direction.

5. Tis method can be configured to work on all time frames simultaneously.

6. Te information in the "Block- Chain" is easy to read, to process and to store.

About this research:

Te development of this method took 6 years from 2012 to 2018. Te study of the regularities of price change (movement) of instruments has been conducted by the method of empirical research. Observations were conducted on instruments: SBER3, ROSN, GASP, LKOH, and NLMK. Closing

price instrument,

Time frames: 5M, 10M, 15M, 1H, Day, Week. Stock Exchange MOEX, Russia. Calculations were performed on instruments: SBER3, USD, and EUR. Closing price instrument, Time frames: 5M, 1H, Day, Week. Stock Exchange MOEX, Russia. All research results, calculations and conclusions repeatedly checked and confirmed.

Alexander Konovaltsev FX TRADER MAGAZINE April - June 2019 49

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