The "Kalman Volume Filter" , aims to provide insights into market volume dynamics by filtering out noise and identifying potential overbought or oversold conditions. Let's break down its components and functionality: Settings: Users can adjust various parameters to customize the indicator according to their preferences: Volume Length: Defines the length of...
Kalman Hull Supertrend At its core, this indicator uses a Kalman filter of price, put inside of a hull moving average function (replacing the weighted moving averages) and then using that as a price source for the supertrend instead of the normal hl2 (high+low/2). Therefore, making it more adaptive to price and also sensitive to recent price action. PLEASE...
█ OVERVIEW This script presents an implementation of the digital smoothing filter introduced by John Ehlers in his article "The Ultimate Smoother" from the April 2024 edition of TASC's Traders' Tips . █ CONCEPTS The UltimateSmoother preserves low-frequency swings in the input time series while attenuating high-frequency variations and noise. The defining...
DSP FILTRATION PRIMER: DSP (Digital Signal Processing) filtration plays a critical role with financial indication analysis, involving the application of digital filters to extract actionable insights from data. Its primary trading purpose is to distinguish and isolate relevant signals separate from market noise, allowing traders to enhance focus on underlying...
It seems that the traditional Laguerre* functions repaint due to the gamma parameter. That goes even for the editorial pick here. But one could use calculation period instead of "gamma" parameter. This gives us a non-repainting Laguerre RSI fit for scalping trends. At first glance, I haven't seen anyone do this with a pine script, but I could be wrong because...
The "White Noise" indicator is designed to visualize the dispersion of price movements around a moving average, providing insights into market noise and potential trend changes. It highlights periods of increased volatility or noise compared to the underlying trend. Code Explanation: Inputs: mlen: Input for the length of the noise calculation. hlen: Input...
What kind of traders/investors are we? We are trend followers. Our scripts are designed to be used on the higher timeframes (weekly/daily) to catch the large moves/trends in the market. Most have heard of long-term trend following. Few know how to execute the strategy. Our scripts are designed specifically to identify and invest in long-term market trends....
Overview The Pro Scalper indicator is a powerful day trading tool designed specifically for the 30-minute timeframe, catering to stock and cryptocurrency markets. It provides traders with buy and sell signals, dynamic overbought/oversold zones, and reversal signal indicators. By combining a Kalman-adapted Supertrend calculation for buy and sell signals, and VWMA...
The Savitzky-Golay Filtered Chande Momentum Oscillator (SGCMO) is a modified version of the Chande Momentum Oscillator that functions as a powerful analytical tool, capable of detecting trends and mean reversals. By applying a Savitzky-Golay filter to the price data, the oscillator provides enhanced visualization and smoother readings. (credit to © anieri for the...
The "Smooth ROC & Stochastic with Kalman Filter" indicator is a trend following tool designed to identify trends in the price movement. It combines the Rate of Change (ROC) and Stochastic indicators into a single oscillator, the combination of ROC and Stochastic indicators aims to offer complementary information: ROC measures the speed of price change, while...
The Discrete Fourier Transform Money Flow Index indicator integrates the Money Flow Index (MFI) with Discrete Fourier Transform (credit to author wbburgin - May 26 2023 ) smoothing to offer a refined and smoothed depiction of the MFI's underlying trend. The MFI is calculated using the formula: MFI = 100 - (100 / (1 + MR)), where a high MFI value indicates robust...
This indicator is an altered version of the Gaussian Moving Average (GMA) (Credit to author: © LeafAlgo ). The GMA applies weights to the prices, giving more importance to the values closer to the current period and gradually diminishing the significance of older prices. The ALMA Smoothed Gaussian Moving Average (ASGMA) applies an ALMA smoothing to its price data...
HELLO: -This indicator is a waaaay simpler version of my other script - Moving Average-TREND POWER v1.1-(AS). HOW DOES IT WORK: -Script counts number of bars below or above selected Moving Average (u can se them by turning PLOT BARS on). Then multiplies number of bars by 0.01 and adds previous value. So in the uptrend indicator will be growing faster with every...
Title: Inverse Chebyshev Filter: A Promising Tool for Financial Data Analysis Abstract: This scientific article introduces the Inverse Chebyshev filter, a powerful mathematical tool used in financial data analysis. The filter is designed to enhance the quality of financial data by reducing noise and smoothing out irregularities, thereby improving the...
This script is designed to implement a multi-signal Hann filter, which is essentially a movable Hann window filter. The purpose of this filter is to allow users to select the periods or frequencies that best align with their trading strategy or market analysis. The Hann window filter operates by enabling the selection of either lower or higher frequencies. The...
-----------Description------------- This indicator is basically Bollinger bands with many ways to customize. It uses highest and lowest values of upper and lower band for exits. I think something is wrong with the script but cant find any mistakes – most probably smoothing. The ATR filter is implemented but is working incorrectly. In code you can also turn it into...
Range Filter x Hull Suite This indicator is a hybrid of two popular indicators, with a twist; namely the Range Filter (Guikroth version) and the Hull Suite (by Insilico) . Originally developed as a 1 minute trend following strategy and traded during the New York Session for it's typically high volume / likely trending nature, it provides entry signals based...
What is a Cluster Filter? One of the approaches to determining a useful signal (trend) in stream data. Small filtering (smoothing) tests applied to market quotes demonstrate the potential for creating non-lagging digital filters (indicators) that are not redrawn on the last bars. Standard Approach This approach is based on classical time series smoothing...