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CCI normalized

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Published: 6 January 2014

Current version: 2.10

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CCI normalized

Indicators
Jose Miguel Soriano
Version: 2.10
Updated: 23 January 2022
Activations: 5

Commodity Channel Index Technical Indicator (CCI) measures the deviation of the commodity price from its average statistical price. High values of the index point out that the price is unusually high being compared with the average one, and low values show that the price is too low. In spite of its name, the Commodity Channel Index can be applied for any financial instrument, and not only for the wares.

There are two basic techniques of using Commodity Channel Index:

Finding the divergences.
The divergence appears when the price reaches a new maximum, and Commodity Channel Index cannot grow above the previous maximums. This classical divergence is normally followed by the price correction.
As an indicator of overbuying/overselling.
Commodity Channel Index usually varies in the range of ±100. Values above +100 inform about overbuying state (and about a probability of correcting fall), and the values below 100 inform about the overselling state (and about a probability of correcting rise).

Calculation

D = Price - SMA (TP, N)
SMA (D, N) = SUM (D, N) / N Simple Moving Average
M = SMA (D, N) * 0,015
CCI = M / D

CCI is not an indicator ranging between fixed values and this makes comparison between different markets or time periods more difficult.

To resolve this problem, we normalize values within a given interval.

CCInorm= (CCIreal-CCImin)*(relMax-relMin)/(CCImax-CCImin) + relMin

General Parameters

Symbol: Set different graphic symbol to study, for example, correlation behavior.
CCI period: The number of bars to calculate CCI.
Normalization period: Time interval, over which we calculate the normalization values.
Period smoothing: Period to calculate signal line (EMA).
TimeFrame: Provides the vision of ATR in different frames to the graph.
Maximum level: Maximum level normalized CCI (100 by default).

Advantages

Reports the level of volatility in a relative way: more than yesterday, less than a month ago, etc.
Facilitates the study of volatility compared between different pairs.
Reports the level of correlation between different pairs visually.

more...

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This indicator incorporates the volume to inform the market trend. A warning system (chart, SMS and e-mail) is incorporated for warning when a certain level is exceeded. Developed by Marc Chaikin, Chaikin Money Flow (CMF) measures the amount of Money Flow Volume (MFV) over a specific period. Money Flow Volume forms the basis for the Accumulation Distribution Line. Instead of a cumulative total of Money Flow Volume, Chaikin Money Flow simply sums Money Flow Volume for a specific look-back period.

R2 (R-squared) represents the square of the correlation coefficient between current prices and deducted from the linear regression. It is the statistical measure of how well the regression line is adjusted to the actual data, and therefore it measures the strength of the prevailing trend without distinguishing between ascending and descending one. The R2 value varies between 0 and 1, therefore it is an oscillator of bands that can show signs of saturation (overbought / oversold). The more the v

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When looking at the information of On Balance Volume indicator, a question arises: is it a strong or weak movement? Should it be compared with previous days? These data should be normalized to always have a reference. This indicator presents the followings parameters: Normalization period (Max-Mins absolute) Smoothing period (-1 off) Tick/Real Volume Maximum number of bars to calculate (-1 off) Upper value normalization Lower value normalization Calculation: normOBV = (value - absMin) * (relMa

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Version 2.10 2022.01.23

version 5 build 3146
13-ene-2022