Weighted Average Volume Depth
Introduction
The Weighted Average Volume Depth (𝓦𝓐𝓥𝓓) indicator is calibrated to provide extensive insights, calculated using volumetric price action and volume depth, and provides dynamic adjustments based upon historical volatility.
This indicator is a valuable asset for traders and investors, aiming to capture trends, measure...
Rate of Change Suite
Introduction
The "Rate of Change Suite" (𝓡𝓸𝓒 𝓢𝓾𝓲𝓽𝓮) refines traditional RoC concepts by incorporating additional elements that provide more nuanced views of market trends, potential reversions, and momentum shifts.
Its main benefits are that it allows traders to detect momentum changes and frontrun trend shifts.
The suite is designed to...
Regression Sloped RSI
Introduction
The Regression Sloped RSI (𝓡𝓢-𝓡𝓢𝓘) enhances the classical RSI by incorporating a form of linear regression analysis, which adjusts the traditional RSI in relation to the calculated slope over a specified lookback period.
Its innovative approach reduces the occurrence of false signals compared to the classical RSI....
Wave Pendulum Trend
Introduction
The Wave Pendulum Trend (𝓟𝓮𝓷𝓭𝓾𝓵𝓾𝓶 𝓣𝓻𝓮𝓷𝓭) extrapolates market trends using physical principles derived from waves and pendulums. This indicator is a bespoke build, and its performance and behavior cannot be compared to existing indicators.
It is designed for trend following but is also effective for identifying mean...
Scalpers Volatility Filter
Introduction
The 𝒮𝒸𝒶𝓁𝓅𝑒𝓇'𝓈 𝒱𝑜𝓁𝒶𝓉𝒾𝓁𝒾𝓉𝓎 𝐹𝒾𝓁𝓉𝑒𝓇 (𝒮𝒱𝐹) is a sophisticated technical indicator, designed to increase the profitability of lower timeframe trading.
Due to the inherent decrease in the signal-to-noise ratio when trading on lower timeframes, it is critical to develop analysis methods to inform traders of the optimal market...
RSI Volatility Bands
Introduction
The RSI Volatility Bands indicator introduces a unique approach to market analysis by combining the traditional Relative Strength Index (RSI) with dynamic, volatility adjusted deviation bands. It is designed to provide a highly customizable method of trend analysis, enabling investors to analyze potential entry and exit points...
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...
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,...
Median of Means (MoM) is a measure of central tendency like mean (average) and median. However, it could be a better and robust estimator of central tendency when the data is not normal, asymmetric, have fat tails (like stock price data) and have outliers. The MoM can be used as a robust trend following tool and in other derived indicators.
Median of means (MoM)...
Introduction
Indicators settings have been a major concern in trading strategies, in order to provide the best results each indicators involved in the strategy must have its settings optimized, when using only 1 indicator this task can easily be achieved, but an increasing number of indicators involve more slower computations, lot of softwares will use brute...
Introduction
The trend-step indicator (or auto-line) was based on volatility and aimed to spot trends in an adaptive way, however the indicator was only based on volatility and didn't gave much attention to the trend, later on i would publish an efficient version of it (efficient auto-line) based on the efficiency ratio who could adapt to the trend and...
Adopted to Pine from systemtradersuccess.com
They wrote that this average is designed to be a robust version of a moving average to reduce the impact of outliers, but I dont see a significant difference comparing it with SMA. So, I published it for the educational purposes.
To learn more about the robust filters and averages google Hampel Filter, Interquartile...
![DOGEUSDT.P: Weighted Average Volume Depth [QuantraSystems]](https://s3.tradingview.com/2/2HrPbJf6_mid.png "Weighted Average Volume Depth [QuantraSystems]")
![ETHUSDT.P: Rate of Change Suite [QuantraSystems]](https://s3.tradingview.com/d/di7ZjYu6_mid.png "Rate of Change Suite [QuantraSystems]")
![SOLUSD: Regression Sloped RSI [QuantraSystems]](https://s3.tradingview.com/7/7XEeY6uT_mid.png "Regression Sloped RSI [QuantraSystems]")
![ADAUSD: Wave Pendulum Trend [QuantraSystems]](https://s3.tradingview.com/s/sxT0V60W_mid.png "Wave Pendulum Trend [QuantraSystems]")
![ETHUSD: Scalper's Volatility Filter [QuantraSystems]](https://s3.tradingview.com/v/VpeVyX0N_mid.png "Scalper's Volatility Filter [QuantraSystems]")
![INJUSDT: RSI Volatility Bands [QuantraSystems]](https://s3.tradingview.com/2/2RE8jYD3_mid.png "RSI Volatility Bands [QuantraSystems]")
![BTCUSD: Simple Neural Network Transformed RSI [QuantraSystems]](https://s3.tradingview.com/6/6qTxRYB1_mid.png "Simple Neural Network Transformed RSI [QuantraSystems]")
