search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

#### orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.noItems
FX TECHNICAL ANALYSIS

Technology have been used for collecting, processing and storing information

Price change in a trend

The change, or movement, of the closing price of an instrument ( h er ei n a f t er “price change”) in a trend has its own laws and rules that extend on all i n s t r ume n t s for all time frames. The o b s e r v a t ion s and

subsequent

c a l c u l a t ion s have determined the

value of the closing

minimum price

change of an instrument (hereinafter “the closing price”) in a trend. The minimum value of the closing price change is a calculated coefficient K, measured in percent. The coefficients K were calculated for the closing prices for the following time frames: 5M, 1H, Day, and Week. Despite the fact that the values of K at the different time frames differ, they are all calculated in the same manner. The longer the time frame, the larger the value of K. Coefficient K can have the sign &#34;+&#34; if the price rises, or the sign &#34;-&#34; if the price falls. The value of K doesn’t depend on the instruments and on the Stock Exchange at which it is

46 FX TRADER MAGAZINE April - June 2019

prices are typically different from the calculated prices on a small value. To solve this problem, the area allowable values of (n*K) was designed. The area allowable value has an upper bound (UB) and a lower bound (LB). These bounds differ from the values (n*K) with the coefficients- k1. The upper bound is greater than (n*K) on the coefficient k1, the lower bound is less than (n*K) on the coefficient k1.

So, if the closing price falls in the allowable value area of (n*K) it means that the closing price has changed

traded. Thus, the closing price, in a trend, changes on some estimated value (n*K), where n is from 0 to 30. The value (n*K), as well as K can have the sign &#34;+&#34; (to increase prices) or the sign &#34;-&#34; (price drop).

In practice, the actual closing

on this value. Knowing this, we can build a template (table 1, page 4), which provides estimated values the closing price change (K; 10*K, -K; -10*K) and the allowable value area for each value. Suppose, the closing price has changed, according to this rule, on the value of (2*K), and the &#34;new&#34;

closing

prices do not change. That is, each subsequent value of the closing prices fall in the allowable value area (2*K). It means that the prices no longer change. This event can be called “Stop of price change (mo v eme nt)”. The stop of price

change

(movement) is an event when P closing price values, following the &#34;new&#34;

closing price, fall in the

allowable value area of (n*K), where P &#62; 1. Tus, the closing price, which satisfies this condition, can be called “the Stopping Price”.

Let&#39;s look at an example of how a closing price change occurs at the 1H time frame: t =10, estimated change value is (6*K). Select an initial price of trend. Te initial price of trend is some stopping price.

(Te technique

of the selection of an initial price of trend will be described below). The closing price 1 = initial price* (1 +

Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61