This Indicator aims to solve an issue that most others face; static lengths. This Indicator will scan lengths from the Min to Max setting (1 - 400 by default) to calculate which is the most Optimal Length in the current market condition. Almost every Indicator uses a length in some part of their calculation, and this length is usually adjustable via the Settings;...
This indicator presents a comprehensive view of the historical candle data within user-defined body percentage ranges. Each column represents a specific body size percentage threshold, starting from as low as 0.01% and extending up to 20%. The rows categorize candles by their closing and opening price differences, effectively sorting them into green (bullish)...
Predictive Indicator Matrix for TradingView The "Predictive Indicator Matrix" is an advanced analytical tool for TradingView, designed to work across multiple timeframes from 1D to 5m. It employs a complex algorithm combining various technical indicators such as the Ichimoku Cloud, ADX, five EMAs, slow and fast versions of MACD, Stochastic Oscillator, and RSI....
Are you looking to level up your trading game and spot potential turning points in the stock market? Introducing the Smart Money Demand and Supply Zones indicator, a powerful tool designed to identify opportunities created by the Smart money. The Smart Money Demand and Supply Zones indicator is built upon the principles of Rally Base Rally (RBR), Rally Base Drop...
Time-it = Time based indicator The Time-it indicator parses data by the day of week. Every tradeable instrument has its own personality. Some are more volatile on Mondays, and some are more bullish / bearish on Fridays or any day in between. The key metrics Time-it parses is range, open, high, low, close and +volume-. The Time-it parsed data is printed in a...
Trend Line Xross (TLX) Uses User Input Points to draw trendlines and displays the exact intersection point of those trendlines. This is the public indicator of the practical application for this intersection method included in my entry for Pinefest #1. To determine the exact intersection point I am using the y-intercept method as seen below. The code is...
This publication focusses at the intersection of 2 lines, and a trend estimation derived from a comparison of Intersection Point value against current price value. The formula to calculate the Intersection Point (IP) is: change1 = ta.change (valueLine1) change2 = ta.change (valueLine2) sf = (valueLine2 - valueLine1 ) / (change1 - change2) I = ...
Hello everyone, This is my seasonality indicator. I have been working on it for like 2 months, so hope you like it! What it does? The Ultimate Seasonality indicator is designed to provide you, the trader, an in-depth look at seasonality. The indicator gives you the ability to do the following functions: View the most bearish and bullish months over a...
Extreme duration uses a special combination of the RSI and its relative position to deliver a reversal signal. The following are the conditions to generate signals: * Bullish signal: The current 8-period RSI is below 50 and above 35 while the previous 5 RSI's are below 35. * Bearish signal: The current 8-period RSI is above 50 and below 65 while the previous 5...
Machine Learning: Anchored Gaussian Process Regression is an anchored version of Machine Learning: Gaussian Process Regression . It implements Gaussian Process Regression (GPR), a popular machine-learning method capable of estimating underlying trends in prices as well as forecasting them. Users can set a Training Window by choosing 2 points. GPR will be...
Description: The Time Matrix Pro is an automated Time-based trading tool adaptable to futures, forex, and bond markets. This indicator is inspired by concepts taught by the Inner Circle Trader (ICT) and ICT_Concepts. ICT’s repertoire encompasses the concepts of liquidity and couples them with Time. The Time Matrix helps the analyst to locate key Time-based...
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility. Symbols in range: This script will display Expected Move data for Symbols within the range of EAT-GDBC in alphabetical order. Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that...
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility. Symbols in range: This script will display Expected Move data for Symbols within the range of CLFD - EARN in alphabetical order. Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that...
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility. Symbols in range: This script will display Expected Move data for Symbols within the range of B - CLF in alphabetical order. Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that...
The Cycle Oscillator is a tool developed to help traders analyze market cycles thanks to a simplified version of the Hurst theory and the easy visualization provided by the detrended cycle. This indicator has two functions: - The first one is the plotting of a line that oscillates above and below the zero line, which can be used to find the cycle direction and...
The Cycle Indicator is a tool developed to help traders analyze market cycles thanks to a simplified version of the Hurst theory. This indicator has two functions: - The first one is the plotting of a line that can be used to find the cycle direction and momentum - The second feature is the next-cycle bottom forecaster, useful for estimating the timing of the...
This script plots boxes to reflect weekly, monthly and yearly expected moves based on "At The Money" put and call option's implied volatility. Symbols in range: This script will display Expected Move data for Symbols within the range of A - AZZ in alphabetical order. Weekly Updates: Each weekend, the script is updated with fresh expected move data, a job that...
Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the...