Introduction Forecasting is a blurry science that deal with lot of uncertainty. Most of the time forecasting is made with the assumption that past values can be used to forecast a time series, the accuracy of the forecast depend on the type of time series, the pre-processing applied to it, the forecast model and the parameters of the model. In tradingview we...
Introduction I already mentioned various problems associated with the lsma, one of them being overshoots, so here i propose to use an lsma using a developed and adaptive form of 1st order polynomial to provide several improvements to the lsma. This indicator will adapt to various coefficient of determinations while also using various recursions. More In Depth ...
Custom momentum oscillators combined with a custom type of regression to find entries and exits. Green arrow = long entry/buy green circle = long exit/hedge into USD vice versa for red arrows and circles No risk management/strategy/backtesting done yet. Purely indicator form so far. Enjoy!
Introduction Back when i started using pine i made a script called periodic channel who aimed to rescale an average correlated sine wave to the price...don't worked very well. So i tried to fix problems induced by the indicator without much success, i had to redo it from scratch while abandoning the idea of rescaling correlated smooth functions to the price, at...
Introduction The ability of the least squares moving average to provide a great low lag filter is something i always liked, however the least squares moving average can have other uses, one of them is using it with the z-score to provide a fast smoothing oscillator. The Indicator The indicator aim to provide fast and smooth results. length control the...
Introduction A simple oscillator using a modified lowess architecture, good in term of smoothness and reactivity. Lowess Regression Lowess or local regression is a non-parametric (can be used with data not fitting a normal distribution) smoothing method. This method fit a curve to the data using least squares. In order to have a lowess regression one must...
This was NOT drawn by hand. This was calculated based on btc prices from 2010 to 2018. More than 60 different equations were tested and refined and ranked. This one is the best.
This indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index"). Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression. In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend...
This indicator was originally developed by Paul Kirshenbaum, a mathematician with a Ph.D. in economics from New York University. It uses the standard error of linear regression lines of the closing price to determine band width. This has the effect of measuring volatility around the current trend, rather than measuring volatility for changes in trend. Good luck!
High/Low/Close Banded Quadratic Regression is now available through this implementation, free for all to use. It's simple purpose is to plot multiple independent parabolic curvatures using a matrix equation that best fits the non-linear data sets of high, low, and close. Features include an available dark background disabled by default for the overlay chart,...
linear regression channel is an indicator which has been written according to linear regression and exponential moving average (ema). the indicator nicely shows major trend and key levels and has a good performance on almost all pairs and time frames.
This is the last tool for my methodology. It provides additional levels of support / resistance that you can use for trailing stop. Like every single tool in this toolbox and methodology, the formula being used is unique and totally original and you can't find it any where else. Please don't contact me for getting access to these tools, they are only available...
Introducing the Tensor Cloud. This is probably the best indicator I've come up with so far. I'm really proud of it. Ichimoku is a brilliant system. It's been around for over half a century and I praise Goichi Hosoda for his brilliant work. However, it's time for something new. I love math and this indicator really showcases that. The Tensor Cloud is an indicator...
This is a study geared toward identifying price trends using Quadratic regression. Quadratic regression is the process of finding the equation of a parabola that best fits the set of data being analyzed. In this study, first a quadratic regression curve is calculated, then the slope of the curve is calculated and plotted. Custom bar colors are included. The...