Cryptocurrency Scalping Strategy for 1m Timeframe Introduction: Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the...
The Long-Term Trend Detector is a powerful tool designed to identify sustainable trends in price movements, offering significant advantages for traders and investors. Key Benefits: 1. Projection Confidence: This indicator leverages Pearson's R, a statistical measure that indicates the strength of the linear relationship between price and trend projection. A...
The indicator provides a nuanced view of sector performance through ETF analysis, focusing on long-term price trends and deviations from these trends to gauge relative strength or weakness. It utilizes a methodical approach to smooth out ETF price data and then applies a regression analysis to pinpoint the primary trend direction. By examining how far the current...
The Sector ETF Macro Trend indicator is designed for technical analysis of broad economic trends through sector-specific exchange-traded funds (ETFs). It uses logarithmic price transformation, linear regression, and volatility analysis to examine sector trends and stability, providing a technical basis for analytical assessment. Core Analysis Techniques ...
Custom Swing Index - Unleashing Precision in Trend Analysis 🌟 Overview: The Custom Swing Index is a meticulously crafted tool that empowers traders with advanced insights into market dynamics, specifically focusing on identifying potential trend reversals. Developed by AstroHub, this indicator stands out for its unique combination of price-related...
The SheTrade indicator calculates pivot points based on the highest and lowest prices for a certain number of bars. These pivot points are then used to calculate support and resistance levels, which are displayed on the chart as horizontal lines. The indicator also includes an additional function to indicate reference points and support/resistance levels, which...
The Rolling Linear Regression Trendline is a sophisticated technical analysis tool designed to offer traders a dynamic view of market trends over a selectable period. This indicator employs linear regression to calculate and plot a trendline that best fits the closing prices within a specified window, either defined by a number of bars or a set period in days,...
Hello everyone, As promised, here is the strategy companion to the RPPI Futures & Indicies Indicator. It contains all of the models of the RPPI but the functionality is all about back-testing the strategy. As such, you cannot use this to run probabilities, run autoregression assessments, or do any of the advanced RPPI features, this is solely to allow you to...
The Least Median of Squares (LMedS) is a robust statistical method predominantly used in the context of regression analysis. This technique is designed to fit a model to a dataset in a way that is resistant to outliers. Developed as an alternative to more traditional methods like Ordinary Least Squares (OLS) regression, LMedS is distinguished by its focus on...
This is the Universal Forecaster as part of the Elite level. About: The universal forecast creates autofitted models for most financial instruments using an ATR approach. It will provide a Bullish and Bearish threshold condition, prospective low targets and prospective high targets. It will autofit and no user inputs are required to manually adjust the...
This is the autoregressive (or Autoreg) trend cloud indicator included in the Pro and Elite trading level. About: The autoregressive trend clouds operate on 2 major statistical concepts, as the name implies, the use of autoregression being the primary facet, as well as the use of an ANOVA statistical analysis of mean variance. I will elaborate on each of these...
The "F.B_Vortex Indicator Pro" is a technical analysis tool designed to identify trends in financial markets. It calculates two Vortex Indicators (VI) based on price movements, considering positive and negative price changes. The smoothed VI+ line represents the smoothed negative trend, while the smoothed VI+ line represents the smoothed positive trend. The...
My native language is Chinese. The following introduction is translated using ChatGPT, and I hope the translation is fluent. Introduction This indicator is based on the machine learning model, Radius Neighbors Regressor, which predicts the target based on the similarity of past 500 input data. The provided indicator itself is merely a tool, requiring users to...
Unlock the potential of your trading strategy with the Divergence Analyzer, a sophisticated indicator designed to identify divergence patterns between two financial instruments. Whether you're a seasoned trader or just starting, this tool provides valuable insights into market trends and potential trading opportunities. Key Features: 1. Versatility in Symbol...
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...
Kernel Regression Oscillator - Overlay Introduction The Kernel Regression Oscillator (ᏦᏒᎧ) represents an advanced tool for traders looking to capitalize on market trends. This Indicator is valuable in identifying and confirming trend directions, as well as probabilistic and dynamic oversold and overbought zones. It achieves this through a unique...
Kernel Regression Oscillator - BASE Introduction The Kernel Regression Oscillator (ᏦᏒᎧ) represents an advanced tool for traders looking to capitalize on market trends. This Indicator is valuable in identifying and confirming trend directions, as well as probabilistic and dynamic oversold and overbought zones. It achieves this through a unique composite...
Polynomial Logarithmic Regression. The BTC cycle tops and bottoms were separately fit using a polynomial regression. The extensions are linear; meaning the extensions will overestimate the future top and bottom bands. The bottom band was fit on much more data than the top band, so is likely to be more reliable. The shape of the regression into the future was...