TL;DR - A different approach calculating strength based on Donchain channels My approach calculating strength by using the difference between price and donchain average. It is possible to use the highest/lowest value of a given source (like close) or to use the highest high/lowest low (by using the option 'include wicks') for the strength calculation I added...
Hello everyone, I just released a neat library for Forecasting stock and equities. In it, it has a couple of novel approaches to forecasting (namely, a Moving Average forecaster and a Z-Score Forecaster). These were accomplished applying basic theories on Autoregression, ARIMA modelling and Z-Score to make new approaches to forecasting. This is one of the novel...
This Forecasting library has a couple of Novel and traditional approaches to forecasting stock prices. Traditionally, it provides a basic ARIMA forecaster using simple autoregression, as well as a linear regression and quadratic regression channel forecaster. Novel approaches to forecasting include: 1) A Moving Average based Forecaster (modelled after ARIMA), it...
This indicator aims to be complimentary to SPDR Tracker , but I've adjusted the name as I've been able to utilize the "INDEX" data provider to support essentially every US market. This is a breadth market internal indicator that allows quick review of strength given the 5, 20, 50, 100, 150 and 200 simple moving averages. Each can be toggled to build whatever...
Fans of the Ichimoku cloud indicator may enjoy this lower study version. It's all the exact same representation but the cloud is converted to an oscillation in histogram or classic cloud fill formats. All of the original lines, except Kumo cloud lines, are provided but adjusted to be positionally accurate to the oscillation values. The oscillation value is...
Library "TimeframeComparison" Timeframe comparison for higher and lower timeframe █ OVERVIEW This library is used to compare higher / lower timeframe by using timeframe.multiplier. minMult() timeframe multiplier in minutes Returns: float value
Library "arraymethods" Supplementary array methods. delete(arr, index) remove int object from array of integers at specific index Parameters: arr : int array index : index at which int object need to be removed Returns: void delete(arr, index) remove float object from array of float at specific index Parameters: arr : float...
█ Introduction and How it is Different The "FlexiSuperTrend - Strategy" by PresentTrading is a cutting-edge trading strategy that redefines market analysis through the integration of the SuperTrend indicator and advanced variance tracking. BTC 6H L/S This strategy stands apart from conventional methods by its dynamic adaptability, capturing market trends...
In the dynamic landscape of financial markets, the Adaptive Trend Finder (log) stands out as an example of precision and professionalism. This advanced tool, equipped with a unique feature, offers traders a sophisticated approach to market trend analysis: the choice between automatic detection of the long-term or short-term trend channel. Key Features: 1. Choice...
Overview Watch list are very common in trading, but most of them simply provide the means of tracking a list of symbols and their current price. Then, you click through the list and perform some additional analysis individually from a chart setup. What this indicator is designed to do is provide a watch list that employs a high/low price range analysis in a...
Library "Zigzag" Zigzag related user defined types. Depends on DrawingTypes library for basic types method tostring(this, sortKeys, sortOrder, includeKeys) Converts ZigzagTypes/Pivot object to string representation Namespace types: Pivot Parameters: this (Pivot) : ZigzagTypes/Pivot sortKeys (bool) : If set to true, string output is sorted by...
Handbook for Minervini Stage 2 Analysis Indicator Introduction This handbook provides detailed instructions and guidelines for using the Minervini Stage 2 Analysis Indicator based on Mark Minervini's swing trading methodology. This indicator is designed for traders focusing on US stocks, aiming to capture gains in medium to short-term uptrends (swing trading). ...
Simple Neural Network Transformed RSI Introduction The Simple Neural Network Transformed RSI (ɴɴᴛ ʀsɪ) stands out as a formidable tool for traders who specialize in lower timeframe trading. It is an innovative enhancement of the traditional RSI readings with simple neural network smoothing techniques. This unique blend results in fairly accurate signals,...
This is my first public (and I hope not the last) library providing different color palettes used for data visualization. Each palette can contain either 3 to 9 colors or 3 to 11 colors. So there you go. Happy New Year! I want your new year to be as colorful, vibrant and rich as these color palettes. Dedicated to @veryfid . RIP, dude. --- Library ...
Rolling VWAP Introduction The Rolling VWAP (R͜͡oll-VWAP) indicator modernizes the traditional VWAP by recalculating continuously on a rolling window, making it adept at pinpointing market trends and breakout points. Its dual functionality includes both the dynamic rolling VWAP and a customizable anchored VWAP, enhanced by color-coded visual cues, thereby...
Library "chrono_utils" Collection of objects and common functions that are related to datetime windows session days and time ranges. The main purpose of this library is to handle time-related functionality and make it easy to reason about a future bar and see if it is part of a predefined user session and/or inside a datetime window. All existing...
Meme Coin Gains. Investor preference for meme coin trading may signal irrational exuberance in the crypto market. If a large spike in meme coin gains is observed, a top may be near. Therefore, the gains of the most popular meme coins (DOGE, SHIB, SATS, ORDI, BONK, PEPE, and FLOKI) were averaged together in this indicator to help indicate potential mania phases,...
Library "TTB_TableBuilder" A helper library to make it simpler to create tables in pinescript DefaultDarkStyle() method Size(this, width, height) Change the size (width, height) of the table cell. Namespace types: Cell Parameters: this (Cell) width (int) height (int) Returns: Cell method Size(this, width, height) Change the...