The Machine Learning Regression Trend tool uses random sample consensus (RANSAC) to fit and extrapolate a linear model by discarding potential outliers, resulting in a more robust fit. 🔶 USAGE The proposed tool can be used like a regular linear regression, providing support/resistance as well as forecasting an estimated underlying trend. Using RANSAC...
█ Overview The AI Moving Average indicator is a trading tool that uses an AI-based K-nearest neighbors (KNN) algorithm to analyze and interpret patterns in price data. It combines the logic of a traditional moving average with artificial intelligence, creating an adaptive and robust indicator that can identify strong trends and key market levels. █ How...
█ Overview In the evolving landscape of trading and investment, the demand for sophisticated and reliable tools is ever-growing. The AI Trend Navigator is an indicator designed to meet this demand, providing valuable insights into market trends and potential future price movements. The AI Trend Navigator indicator is designed to predict market trends using...
Hello everyone, I am in the process of releasing some of my own utility indicators/things I use to reference and perform analyses. I do a lot of quantitative/math based analyses, including correlation assessments that I traditionally would need to export data from Tradingview and perform in SPSS, Excel or R. I have been slowly building a repertoire of Excel/R...
The Relational Quadratic Kernel Channel (RQK-Channel-V) is designed to provide more valuable potential price extremes or continuation points in the price trend. Example: Usage: Lookback Window: Adjust the "Lookback Window" parameter to control the number of previous bars considered when calculating the Rational Quadratic Estimate. Longer windows capture...
This indicator is based on the "Linear Regression Channel (Log)," which, in turn, is derived from TradingView's "Linear Regression Channel." The "Regression Line (Log)" indicator is a valuable tool for traders and investors seeking to gain insights into long-term market trends. This indicator is personally favored for its ability to provide a comprehensive view...
The Advanced Weighted Residual Arbitrage Analyzer is a sophisticated tool designed for traders aiming to exploit price deviations between various asset pairs. By examining the differences in normalized price relations and their weighted residuals, this indicator provides insights into potential arbitrage opportunities in the market. Key Features: Multiple...
Unlocking the Magic of Linear Regression in TradingView In the ever-evolving world of financial markets, traders and investors seek effective tools to gauge price movements, make informed decisions, and achieve their financial goals. One such tool that has proven its worth over time is linear regression, a mathematical concept that has found its way into...
The Extrapolated Previous Trend indicator extrapolates the estimated linear trend of the prices within a previous interval to the current interval. Intervals can be user-defined. 🔶 USAGE Returned lines can be used to provide a forecast of trends, assuming trends are persistent in sign and slope. Using them as support/resistance can also be an...
nput Variables: The user can adjust the lookbackPeriod and m (multiplier) inputs. The lookbackPeriod specifies the number of previous bars used for regression calculations, and m is used to calculate the confidence interval width. Calculate Regression Model: The code extracts open, high, low, and close prices for the current candle. It then performs regression...
This script is used decide weather stock is overbought or oversold in given length/days from the settings. using close difference from ohlc4 moving average ratio. Settings Available 1) moving average length 2) Highest / Lowest ratio length 3) Difference Between Highest and Lowest Line this script plot/display 4 lines 1) highest difference from moving...
The "Multi Kernel Regression" is a versatile trading indicator that provides graphical interpretations of market trends by using different kernel regression methods. It's beneficial because it smoothes out price data, creating a clearer picture of price movements, and can be tailored according to the user's preference with various options. What makes this...
I have created this indicator because I was in a need of simple indication of personal session time for my backtesting while practicing intraday Futures trading. How it works: 1. Define your timezone. 2. Set Trading session start/end time. 3. Choose the colour you want to see your intraday session in. Actual result: Your selected session is displayed with...
Hey everyone! I got a pseudo-request a while ago for something like this, essentially the ability to track where another ticker would fall based on an alternative ticker. I did create my ticker correlation reference indicator which directly looks at the correlation between 2 tickers. However, this is an indicator that operates on the same principle but is more...
(OVERVIEW) This indicator calculates the linear regression channel for the visible bars shown on the chart instead of the traditional fixed length linear regression channel TradingView provides (and is more accurate I believe). Inspired by TradingView's Linear Regression Channel and Visible Average Price indicator, and the DAS Trader linear regression...
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....
This is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules: 1. Today is Monday. 2. The close must be lower than the close on Friday. 3. The IBS must be below 0.5. 4. If 1-3 are true, then enter at the close. 5. Sell 5 trading days later (at the close). If you backtest it on...
This toolkit provides filters and extra functionality for non-repainting Nadaraya-Watson estimator implementations made by @jdehorty. For the sake of ease I have nicknamed it "kreg". Filters include a smoothing formula and zero lag formula. The purpose of this script is to help traders test, experiment and develop different regression lines. Regression lines are...