The Periodic Linear Regressions (PLR) indicator calculates linear regressions periodically (similar to the VWAP indicator) based on a user-set period (anchor). This allows for estimating underlying trends in the price, as well as providing potential supports/resistances. 🔶 USAGE The Periodic Linear Regressions indicator calculates a linear regression...

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The FVG Price & Volume Graph tool plot recently detected fair value gaps relative to the volume traded within their area during their formation. This allows us to effectively visualize significant fair value gaps caused by high liquidity. The indicator also returns levels from the fair value gaps areas average with the highest associated volume. Do note that the...

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Introducing the "Multi-Regression Strategy" (MRS) , an advanced technical analysis tool designed to provide flexible and robust market analysis across various financial instruments. This strategy offers users the ability to select from multiple regression techniques and risk management measures, allowing for customized analysis tailored to specific market...

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Library "regressions" This library computes least square regression models for polynomials of any form for a given data set of x and y values. fit(X, y, reg_type, degrees) Takes a list of X and y values and the degrees of the polynomial and returns a least square regression for the given polynomial on the dataset. Parameters: X (array) : (float ) ...

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The "Trend Angle" indicator serves as a tool for traders to decipher market trends through a methodical lens. It quantifies the inclination of price movements within a specified timeframe, making it easy to understand current trend dynamics. Conceptual Foundation: Angle Measurement: The essence of the "Trend Angle" indicator is its ability to compute...

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Scalpers Volatility Filter Introduction The 𝒮𝒸𝒶𝓁𝓅𝑒𝓇'𝓈 𝒱𝑜𝓁𝒶𝓉𝒾𝓁𝒾𝓉𝓎 𝐹𝒾𝓁𝓉𝑒𝓇 (𝒮𝒱𝐹) is a sophisticated technical indicator, designed to increase the profitability of lower timeframe trading. Due to the inherent decrease in the signal-to-noise ratio when trading on lower timeframes, it is critical to develop analysis methods to inform traders of the optimal market...

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TL;DR - An average true range (ATR) based trend ATR trend uses a (customizable) ATR calculation and highest high & lowest low prices to calculate the actual trend. Basically it determines the trend direction by using highest high & lowest low and calculates (depending on the determined direction) the ATR trend by using a ATR based calculation and comparison...

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█ OVERVIEW This a simplified version of linear regression channel which use length 200 instead of traditional length 100. █ FEATURES Color change depends light / dark mode. █ LIMITATIONS Limited to source of closing price and max bars back is 1500. █ SIMILAR Regression Channel Alternative MTF Regression Channel Alternative MTF V2

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This indicator can be used to determine the direction of the current trend. The indicator plots two different histograms based on the linear regression formula: - The colored ones represent the direction of the short-term trend - The gray one represents the direction of the long-term trend In the settings, you can change the length of the short-term value, which...

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This tool can be used to determine the direction of the current trend. The indicator changes the color of the candles based on the direction of the linear regression formula. This is made settings the length of the short-term linear regression in the settings, the longer one is also based on that parameter but significantly larger. The indicator also plots the...

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Linear Cross Trading Strategy The Linear Cross trading strategy is a technical analysis strategy that uses linear regression to predict the future price of a stock. The strategy is based on the following principles: The price of a stock tends to follow a linear trend over time. The slope of the linear trend can be used to predict the future price of the...

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█ 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...

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Combines 3 different moving averages together with the linear regression. The moving averages are the HMA, EMA, and SMA. The script makes use of two different lengths to allow the end user to utilize common crossovers in order to determine entry into a trade. The edge of each "cloud" is where each of the moving averages actually are. The bar color is the average...

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Deming regression is a type of linear regression used to model the relationship between two variables when there is variability in both variables. Deming regression provides a solution by simultaneously accounting for the variability in both the independent and dependent variables, resulting in a more accurate estimation of the underlying relationship. In the...

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Introducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical...

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Well to be honest I don't know what to name this indicator lol. But anyway, here is my another original work! Gonna give some background of why I create this indicator, it's all pretty much a coincidence when I'm learning about time series analysis. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Well, the formula of Auto-covariance...

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Linear Regression Volume Profile plots the volume profile fixated on the linear regression of the lookback period rather than statically across y = 0. This helps identify potential support and resistance inside of the price channel. Settings Linear Regression Linear Regression Source: the price source in which to sample when calculating the linear...

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Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It assumes a linear relationship between the dependent variable and the independent variable(s) and attempts to fit a straight line that best describes the relationship. In the context of predicting the price of a stock...

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