Library "regress" produces the slope (beta), y-intercept (alpha) and coefficient of determination for a linear regression regress(x, y, len) regress: computes alpha, beta, and r^2 for a linear regression of y on x Parameters: x : the explaining (independent) variable y : the dependent variable len : use the most recent "len" values of x and...
Logarithmic regression is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span). The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line. This...
This indicator automatically draws a regression channel plotted on logarithmic scale from the first quotation. This model is useful for the long term series data (such as 10 or 20 years time span). The Pearson correlation measures the strength of the linear relationship between two variables. It has a value between to 1, with a value of 0 meaning no...
this indicatore show fibonacci logarithmic regression for BITCOIN and we can analyse the crypto market with it.
・Indicator for linear regression channel. ・Multiple deviations can be displayed. ・The color changes by reading the angle of the center line according to the direction of the market. Rising market → blue Down market → Red ---------------------------------------------- ・線形回帰チャネルのインジケーター。 ・偏差を複数表示可能。 ・相場の向きに合わせてセンターラインの角度を読み取り色が変わります。 上げ相場 → 青 下げ相場 → 赤
Tradingview Community, As I progress through my journey, I have come to the realization that it is time to give back. This script isn't a life changer, but it has the building blocks for a motivated individual to optimize the parameters and have a production script ready to go. Credit for the indicator is due to @rumpypumpydumpy I adapted this indicator to a...
An article titled Bitcoin Stock-to-Flow Model was published in March 2019 by "PlanB" with mathematical model used to calculate Bitcoin model price during the time. We know that Ripple has a strong correlation with Bitcoin. But does this correlation have a definite rule? In this study, we examine the relationship between bitcoin's stock-to-flow ratio and the...
Overview: This version of the Volume-Weighted Average Price (VWAP) indicator features an extended algorithm, which, in addition to volume and price, also incorporates regression analysis. The result is a more responsive, often leading VWAP slope with a degree of statistical predictability built in. Just like with the original VWAP, NEXT Regressive VWAP offers...
just a example on how to edit line style on the output of the polynomial regression library..
This indicator builds upon the previously posted Nadaraya-Watson smoothers. Here we have created an envelope indicator based on Kernel Smoothing with integrated alerts from crosses between the price and envelope extremities. Unlike the Nadaraya-Watson estimator, this indicator follows a contrarian methodology. Please note that by default this indicator can be...
Library "FunctionPolynomialRegression" TODO: polyreg(sample_x, sample_y) Method to return a polynomial regression channel using (X,Y) sample points. Parameters: sample_x : float array, sample data X points. sample_y : float array, sample data Y points. Returns: tuple with: _predictions: Array with adjusted Y values. _max_dev: Max...
Calculates a log-log regression from arrays. Due to line limits, for sets greater than the limit, only every nth value is plotted in order to cover the entire set.
Calculates an exponential regression from arrays. Due to line limits, for sets greater than the limit, only every nth value is plotted in order to cover the entire set.
The following tool smoothes the price data using various methods derived from the Nadaraya-Watson estimator, a simple Kernel regression method. This method makes use of the Gaussian kernel as a weighting function. Users have the option to use a non-repainting as well as a repainting method, see the USAGE section for more information. 🔶 USAGE 🔹 Non...
This indicator uses regression along with RSI and moving averages from multiple time frames to help you visualize the market in a single view. After learning the notations, you will be able to identify pockets of liquidity and determine high/low probability price zones without drawing a single line. Booster symbols help confirm short term trends and breakouts...
Hi fellow traders.. Happy to share a Linear Regression & RSI Multi-Function Custom Screener with Table-Labels... The Screener scans for Linear Regression 2-SD Breakouts and RSI OB/OS levels for the coded tickers and gives Summary alerts Uses Tables (dynamica resizing) for the scanner output instead of standard labels! This Screener cum indicator collection has...
This indicator is basically the standard linear regression but adjusted to be suitable for log scale. You can use 2 different standard deviation values, choose the data source and lookback length. The colors are chosen directly on the main menu. Enjoy!
EXPERIMENTAL: Forecasting using a polynomial regression over the estimates of multiple linear regression forecasts. note: on low data the estimates are skewd away of initial value, i added the i_min_estimate option in to try curve this issue with limited success "o_o.