This indicator is designed to perform multiple non-linear regression analysis using four independent variables: close, open, high, and low prices. Here's a breakdown of its components and functionalities: Inputs: Users can adjust several parameters: Normalization Data Length: Length of data used for normalization. Learning Rate: Rate at which the...
Linear Regression Oscillator Indicator Overview: The Linear Regression Oscillator is a custom TradingView indicator designed to provide insights into potential mean reversion and trend conditions. By calculating a linear regression on the closing prices over a user-defined period, this oscillator helps identify overbought and oversold levels and highlights...
Lin Reg (Linear Regression) Support & Resistance by xxMargaux 💸 This indicator plots three linear regression lines (Lin Reg) on the price chart, providing insights into potential support and resistance levels. It calculates Lin Reg lines based on user-defined lengths and sources. This indicator's settings were initially configured for MNQ1! (E-Mini Nasdaq 100...
Library "series_collection" A personal collection of commonly used series types like moving averages that are supported directly by the pinescript library ('ALMA', 'DEMA', 'EMA', 'HMA', 'RMA', 'SMA', 'SWMA', 'VWMA', 'WMA'), highest and lowest source, median and pivots. One single function (with overloads) that can be configured easily by the user input and can...
Banana RSI is not just ap-PEAL-ing to the eyes! This simple little indicator provides a New Approach to determining Overbought and Oversold levels, as well as taking advantage of a non-typical smoothing method for this type of indicator. Banana RSI uses a Cumulative High and Low Average to draw the upper, lower, and midline. The High and Low Averages use the...
This indicator seeks for a short term trend within a bigger long term trend and displays both in a channel with an extension lines (optional). Use of this indicator is quite simple: when the stock is near the trend line bottom (default RED) it can be a good time to buy and when the stock is near the trend line top (default GREEN) it can be a good time to sell....
The Buy Sell Calendar indicator displays a calendar showing the sentiment for the current day/month. Three different methods can be used to determine this sentiment. The calendar can also highlight the percentage of bullish days/months for a month/year. 🔶 SETTINGS Frequency: Calendar frequency, options include "Daily" and "Monthly" Sentiment Method:...
Strategy LinReg ST@RL Strategy LinReg ST@RL is a visual trend following indicator. It is compiled in PINE Script Version V5 language. This indicator/strategy, based on Linear Regression Calculation, is intended to help beginners (and also the more experienced ones) to trade in the right direction of the market trend and test strategy. It allows you to avoid...
The trendlines with breaks indicator return pivot point based trendlines with highlighted breakouts. Users can control the steepness of the trendlines as well as their slope calculation method. Trendline breakouts occur in real-time and are not subject to backpainting. Trendlines can however be subject to repainting unless turned off from the user settings. The...
Simple way how to use Linear Regression for trading. What we use: • Linear Regression • EMA 200 as a trend filter Logic: Firstly we make two different linear regression movings as oscillator. For this we need to subtract slow moving from fast moving, so we get the single moving around zero. This is the green/red line which appears on the chart. The trade open...
This indicator displays a fan using a linear regression fit to the price as a base. All lines are equidistant and are drawn from the first point of the linear regression to the most recent point of the linear regression plus the root-mean-square deviation (RMSD) multiplied by a certain factor. Settings Length: Lookback period for the linear regression. ...
This script consist of two parts: linear SSL and DEMA. The difference between original SSL and current is that it calculated by linear regression. The logic is simple: when SSL "crossunder" and DEMA is above the price - we get short signal. When price became above DEMA and SSL "crossover" - close short.
The Natural Market Slope was created by Jim Sloman and this is one of his many Ocean Indicators which I'm publishing thanks to receiving source materials from @altcoinz and @tmac87. I did completely rewrite the formula for this indicator but I commented out the original calculation so you can compare or just for study purposes. I like this version better because...
Rᴀꜰꜰ Rᴇɢʀᴇꜱꜱɪᴏɴ Cʜᴀɴɴᴇʟ (RRC) This study aims to automate Raff Regression Channel drawing either based on ZigZag Indicator or optionally User Preference The Raff Regression Channel , developed by Gilbert Raff, is based on a linear regression, which is the least-squares line-of-best-fit for a price series, with evenly spaced trend lines above and below . The...
Modified version of Squeeze Momentum Indicator visualizing on Price Chart author: LazyBear, modified by KıvançÖZBİLGİÇ
Due to public demand Linear Regression Formula Scraped Calculation With Alerts Here is the Linear Regression Script For traders Who love rich features Features ++ Multi time frame -> Source Regression from a different Chart ++ Customized Colors -> This includes the pine lines ++ Smoothing -> Allow Filtered Regression; Note: Using 1 Defaults to the original...
Here is another amazing script for you guys Target Audience ++ Programmers ++ Linear Regression Enthusiasts Please Use this Indicator If you understand the risk posed by linear regression; ill explain some below Features ++ Raw Formulae for the linear regression --I understand that tradingview explanation on how the linreg function works is not clear to...
Hello, this script was created by using Linear Regression Bands Function with variable Function Minkowski Distance Adaptive Period. Function Linear Regression Bands : Minkowski Distance Function Original Script by RicardoSantos : Functions saved from overloads . And suitable for mutable variable periods. Regards.