We provide an implementation of the Gaussian Process Regression (GPR), a popular machine-learning method capable of estimating underlying trends in prices as well as forecasting them. While this implementation is adapted to real-time usage, do remember that forecasting trends in the market is challenging, do not use this tool as a standalone for your trading...

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Overview: Support and Resistance is normally based upon Pivot Points and Highest Highs and Lowest Lows. Many times coders even incorporate Volume, RSI and other factors into the equation. However there may be a downside to doing a pure technical approach based on historical levels. We live in a time where Machine Learning is becoming more and more used; thus we...

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Overview: YinYang Bar Forecast is a prediction indicator. It predicts the movement for High, Low, Open and Close for up to 13 bars into the future. We created this Indicator as we felt the TradingView community could benefit from a bar forecast as there wasn’t any currently available. Our YinYang Bar Forecast is something we plan on continuously working on to...

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The Liquidity Heatmap is an indicator designed to spot possible resting liquidity or potential stop loss using volume or Open interest. The Open interest is the total number of outstanding derivative contracts for an asset—such as options or futures—that have not been settled. Open interest keeps track of every open position in a particular contract rather than...

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Spread Indicator: An Overview Driven by the concept of forethought. The indicator predicts the range for the day and divides it into two or three Levels (upper, middle, and lower). These ranges are drawn from possible supply and demand zones as well as potential price consolidation zones which has happend in the rolling number of days in the past. It's true...

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The Predictive Ranges indicator aims to efficiently predict future trading ranges in real-time, providing multiple effective support & resistance levels as well as indications of the current trend direction. Predictive Ranges was a premium feature originally released by LuxAlgo in 2020. The feature was discontinued & made legacy, however, due to its popularity...

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Monte Carlo simulations have been a popular tool in the world of finance, risk analysis, and decision making for decades. In this post, I will take you through the history of Monte Carlo simulations and explain how I implemented this powerful technique in Pine Script. This implementation can help traders and investors in various time frames to better understand...

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--------- ENGLISH --------- This is a predictive indicator ( leading indicator ) that uses Bayes' formula to calculate the conditional probability of price increases given the angular coefficient. The indicator calculates the angular coefficient and its regression and uses it to predict prices. Bayes' theorem is a fundamental result of probability theory and...

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Hello traders, I developed this indicator while working on a trading strategy using moving average slope and acceleration, and I found the concept interesting enough to share it. Let me briefly explain this indicator. ----About White Plot---- 1. Calculate the first derivative approximation at the current point of the Moving Average, and then calculate the...

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What can I Do: Update at 12:01 AM everyday. Predict the Highest and the Lowest price of each day. Color of the lines: the red color suggests downward while the green color suggests upward. It is able to predict the highest and the lowest price of each day by calculating the history prices, but please notice this is only prediction! Not one hundred percent...

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Hi Traders.. This is one of Gann's trading method, called Price & Time Squared. When price & time meets, price will reverse." as you see, those lines (past & future) represent the forecast of 'potential' swing (swing high/low or turning up/ down) here are some examples: Weekly Daily H1 M30 M15 M5 How to trade (very...

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The Leavitt Convolution indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well known for creating the Volume-Weighted Average Price indicator. This indicator is very similar to my Leavitt Projection script and I forgot to mention that both of these indicators are actually predictive moving averages. The Leavitt...

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Blockchain Fundamentals: 200 Week MA Heatmap This is released as a thank you to all my followers who pushed me over the 600 follower mark on twitter. Thanks to all you Kingz and Queenz out there who made it happen. <3 Indicator Overview In each of its major market cycles, Bitcoin's price historically bottoms out around the 200 week moving average. This...

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I wasn't going to post this because I don't like how this calculates by puling in the Open price, but I'm posting it anyway. This does work in it's current form but there is a. better way to do this. I'll revisit this in the future. Anyway... The k-Nearest Neighbor algorithm (k-NN) searches for k past patterns (neighbors) that are most similar to the current...

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Hodrick-Prescott Extrapolation of Price is a Hodrick-Prescott filter used to extrapolate price. The distinctive feature of the Hodrick-Prescott filter is that it does not delay. It is calculated by minimizing the objective function. F = Sum((y(i) - x(i))^2,i=0..n-1) + lambda*Sum((y(i+1)+y(i-1)-2*y(i))^2,i=1..n-2) where x() - prices, y() - filter values....

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Itakura-Saito Autoregressive Extrapolation of Price is an indicator that uses an autoregressive analysis to predict future prices. This is a linear technique that was originally derived or speech analysis algorithms. What is Itakura-Saito Autoregressive Analysis? The technique of linear prediction has been available for speech analysis since the late 1960s...

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Helme-Nikias Weighted Burg AR-SE Extra. of Price is an indicator that uses an autoregressive spectral estimation called the Weighted Burg Algorithm, but unlike the usual WB algo, this one uses Helme-Nikias weighting. This method is commonly used in speech modeling and speech prediction engines. This is a linear method of forecasting data. You'll notice that...

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Weighted Burg AR Spectral Estimate Extrapolation of Price is an indicator that uses an autoregressive spectral estimation called the Weighted Burg Algorithm. This method is commonly used in speech modeling and speech prediction engines. This method also includes Levinson–Durbin algorithm. As was already discussed previously in the following indicator: ...

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