This indicator calculates an adaptative regression channel over a specified period or interval. Resources: rosettacode.org en.wikipedia.org
A mathematically elegant, native & modern way how to measure velocity/ strength/ momentum. As you can see it looks like MACD, but !suddenly! has N times shorter code (disregard the functions), and only 1 parameter instead of 3. OMG HOW DID HE DO IT?!? MACD: "Let's take one filter (1 parameter), than another filter (2 parameters), then let's take dem difference,...
Linearly Weighted Ordinary Least Squares Moving Regression aka Weighted Least Squares Moving Average -> WLSMA ^^ called it this way just to for... damn, forgot the word Totally pwns LSMA for some purposes here's why (just look up): - 'realistically' the same smoothness; - less lag; - less overshoot; - more or less same computationally intensive. "Pretty...
Based on oryginal TV indicator BUT with a little twist. ;) I really like the regression channel - but the problem is that the length needs to be always manually adjusted. In this script I try to solve this issue. This is modified version on TV indicator - Linear Regression Channel. The main difference is that now you don't get static length - it is...
[image/x/iZvwDWEY/ Relative Strength indicator comparing the current symbol to SPY (or any other benchmark). It may help to pick the right assets to complement the portfolio build around core ETFs such as SPY. The general idea is to show if the current symbol outperforms or underperforms the benchmark (SPY by default) when bought some certain time ago. Relative...
An example of the linear regression library, showing the regression of VX futures on the VIX. The beta might help you weight VX futures when hedging SPX vega exposure. A VX future has point multiplier of 1000, whereas SPX options have a point multiplier of 100. Suppose the front month VX future has a beta of 0.6 and the front month SPX straddle has a vega of 8.5....
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
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...
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...