相關係數(CC)頂級作者

相關係數(CC)在統計學裡用於測量兩組數據之間的相關性。在交易世界中，數據集可能是股票、外國資金、或其他金融工具。簡單地說，兩個金融工具之間的相關性就是它們相關的程度。相關性基於1到-1的比例。相關係數越接近1，它們的正相關就越高，兩個金融工具將一起上下移動。-1的相關率越高，往相反方向移動就越多。0值表示沒有相關性。

閱讀更多相關係數(CC)的資訊。

閱讀更多相關係數(CC)的資訊。

Display three DACC plots simultaneously, to visualize both directional (up on top, down at bottom) and adirectional DACC (in the middle) simultaneously. Delta Agnostic Correlation calculates a correlation between two symbols based only on the sign of their changes using a Sign Test (en.m.wikipedia.org), regardless of the amplitude of price change. Compared to a...

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This indicator highlights zones with strong, weak and negative correlation. Unlike standard coefficient indicator it will help to filter out noise when analyzing dependencies between two assets. With default input setting Correlation_Threshold=0.5: - Zones with correlation above 0.5, will be colored in green (strong correlation) - Zones with correlation from -0.5...

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This is a non-parametric correlation statistical test, which is less sensitive to magnitude and more to direction, hence why some people call this a "concordance test". This indicator was originally created by Alex Orekhov (everget), if you like this one, please show the original author some love: This version is extended by tartigradia (2022) to make it more...

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Pearson correlation coefficient measures the linear correlation between two variables. It has a value between +1 and −1, where 1 is total positive linear correlation, 0 is no linear correlation and −1 is total negative linear correlation. It’s often denoted by r for sample correlation and ρ for population correlation. Note: Pearson Correlation only measures...

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Shows the Pearson correlation between two symbols, including statistical significance test. This is a fork of the original script by Balipour, with the addition of EMA that can be used instead of SMA in the Pearson correlation as an attempt to capture correlation trend changes more quickly, and conversion to pinescript v5. In the end, the EMA does not help much,...

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In financial terms, 'correlation' is the numerical measure of the relationship between two variables (in this case, the variables are Forex pairs). The range of the correlation coefficient is between -1 and +1. A correlation of +1 indicates that two currency pairs will flow in the same direction. A correlation of -1 indicates that two currency pairs will move in...

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I'm pleased to introduce this script in honor of the new array functions introduced to PineScript version 4.0. This update is a long time coming and opens the door to amazing scripting possibilities! Definition Named after Charles Spearman and denoted by the Greek letter ‘ ρ ’ (rho), the Spearman rank correlation coefficient is the nonparametric version of...

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Other available matrixes I found have a limited number of forex symbols. Consequentially, you need to keep switching them if you want to do a proper analysis. As a result of that, I produced my own currency matrix. Correlation studies relationships between different price charts. High correlation may be completely random in the short term, but it may signify a...

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This script calculates the covariance and correlation coefficient between two markets using arrays. Lookback: How many bars to perform the calculation on. Source: Price source to calculate the correlation on. Reference Market: The reference market to compare to the current market. It's a simple indicator, but very useful for determining how correlated your...

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Graph shows level of correlation between current source and another one and track current value of it. User can select source for comparison, graph period and number of candles for calculation, enter level of significal correlation (+-0.65 by default). Grapf contains 4 plots: Correlation - current level of correlation, Zero line , +Corr_level - minimum level of...

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Hi everyone A co-pinescripter friend told me this was impossible to do and we bet a free dinner tomorrow. Guess who's going to be invited to a very fancy restaurant tomorrow :) :) :) (hint: not him) What's the today script is about? This script is based on this MT4 correlation matrix Asset correlation is a measure of how investments move in relation to one...

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Introduction The correlation oscillator is a technical indicator that measure the linear relationship between the market closing price and a simple increasing line, the indicator is in a (-1,1) range and rise when price is up-trending and fall when price is down-trending. Another characteristic of the indicator is its inherent smoothing which provide a noise...

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Hey folks A quick unrelated but interesting foreword Hope you're all good and well and tanned Me? I'm preparing the opening of my website where we're going to offer the Algorithm Builder Single Trend, Multiple Trends, Multi-Timeframe and plenty of others across many platforms (TradingView, FXCM, MT4, PRT). While others are at the beach and tanning (Yes I'm...

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This is my "Pine-based" correlation() function written in raw Pine Script. Other names applied to it are "Pearson Correlation", "Pearson's r", and one I can never remember being "Pearson Product-Moment Correlation Coefficient(PPMCC)". There is two basic ways to utilize this script. One is checking correlation with another asset such as the S&P 500 (provided as a...

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Calculate a sort of correlation between two symbols based only on the sign of their changes, regardless of the amplitude of price change. When positive, the two symbols tend to move together. When negative, the symbols move in opposite directions. Since there is no significance calculation, and that the result is binary, keep in mind that correlation will always...

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Kendall Rank Correlation Coefficient script. This way to measure the ordinal association between two measured quantities described by Maurice Kendall (1938, Biometrika, 30 (1–2): 81–89, "A New Measure of Rank Correlation"). In this script I compare Kendall Coefficient and Pearson Coefficient (using built-in "correlation" function).

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Estimating the LSMA Without Classics Parameters I already mentioned various methods in order to estimate the LSMA in the idea i published. The parameter who still appeared on both the previous estimation and the classic LSMA was the sample correlation coefficient. This indicator will use an estimate of the correlation coefficient using the standard score thus...

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The Optimal Weighted Moving Average was created by Thomas Hutchinson and Peter G. Zhang, Ph.D. (Stocks & Commodities V. 11:12 (500-505)) and it is very similar to a classic weighted moving average but it uses the correlation between the input and the optimal weighted moving average output to use as the weights. Buy when the line turns green and sell when it turns...

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