The Predictive Channels indicator is a real-time estimate of a trend channel. The indicator returns 2 resistances, 2 supports, and an average line. 🔶 USAGE The Predictive Channels attempt to find a real-time estimate of an underlying linear trend in the price, the returned supports/resistances are constructed from this estimate. The area between the...

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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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There are many strategies that use RSI or Volume but very few that take advantage of how useful and important the two of them combined are. This strategy uses the Highs and Lows with Volume and RSI weighted calculations on top of them. You may be wondering how much of an impact Volume and RSI can have on the prices; the answer is a lot and we will discuss those...

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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...

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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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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...

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This script is designed to execute a trading strategy based on Heikin Ashi candlesticks, moving averages, and percentile levels. Please note that you should keep your original chart in normal candlestick mode and not switch it to Heikin Ashi mode. The script itself calculates Heikin Ashi values from regular candlesticks. If your chart is already in Heikin Ashi...

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Unleashing the Power of Trendlines with the "Strongest Trendline" Indicator. Trendlines are an invaluable tool in technical analysis, providing traders with insights into price movements and market trends. The "Strongest Trendline" indicator offers a powerful approach to identifying robust trendlines based on various parameters and technical analysis...

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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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The Advanced Trend Channel Detection (Log Scale) indicator is designed to identify the strongest trend channels using logarithmic scaling. It does this by calculating the highest Pearson's R value among all length inputs and then determining which length input to use for the selected slope, average, and intercept. The script then draws the upper and lower...

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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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