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 RSI 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 the RSI, very similar to the Kalman Hull Supertrend just processing price for a different indicator. This also allows it to make it more adaptive to price and...
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...
Kalman Filtered RSI Oscillator The Kalman Filtered RSI Oscillator is BackQuants new free indicator designed for traders seeking an advanced, empirical approach to trend detection and momentum analysis. By integrating the robustness of a Kalman filter with the adaptability of the Relative Strength Index (RSI), this tool offers a sophisticated method to capture...
Kalman Price Filter The Kalman Filter, named after Rudolf E. Kálmán, is a algorithm used for estimating the state of a linear dynamic system from a series of noisy measurements. Originally developed for aerospace applications in the early 1960s, such as guiding Apollo spacecraft to the moon, it has since been applied across numerous fields including robotics,...
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...
This is a simplified version of Kalman RSI by onegreencandle. Simplifications: It shows the indicator for a single configurable length with a default of 14. It does not color by region. It allows selecting the source, with a default of close . The version by onegreencandle uses ohlc4 instead. Note that both versions also use high and low . It...
Introduction Heyo guys, I made a new (repainting) indicator called Local Model Kalman Market Mode. I created it, because I wanted a reliable market mode filter for a potential mean-reversion strategy (e. g. BB Scalping). On the screenshot you can see an example of how to use it in a BB strategy. E.g. you would enter long when you have bullish divergence, price...
A simple form of recursive filtering using an adjustable gain and a memory length. The filter predicts the next sample based on the previous values and the calculated error.
This is an upgrade to the HMA-Kahlman Trend & Trendlines script (). This version gives more flexibility because you can play around with 2 parameters to Kalman function (Sharpness and K (aka. step size)).
Frequently asked question is to explain how Gain parameter works in kalman funtion. This script serves as a visual representation of Gain parameter of Kalman function used in HMA-Kalman & Trendlines script. (The function creator's name was misspeled in that script as Kahlman) To see better results set your Chart's timeframe to Daily.
STD/Clutter Filtered, One-Sided, N-Sinc-Kernel, EFIR Filt is a normalized Cardinal Sine Filter Kernel Weighted Fir Filter that uses Ehler's FIR filter calculation instead of the general FIR filter calculation. This indicator has Kalman Velocity lag reduction, a standard deviation filter, a clutter filter, and a kernel noise filter. When calculating the Kernels,...
Pips-Stepped, R-squared Adaptive T3 is a a T3 moving average with optional adaptivity, trend following, and pip-stepping. This indicator also uses optional flat coloring to determine chops zones. This indicator is R-squared adaptive. This is also an experimental indicator. What is the T3 moving average? Better Moving Averages Tim Tillson November 1,...
Kalman filter is a recursive algorithm that has been invented in the 1960s to track a moving target, remove any noisy measurements of its position and predict its future position. In finance, KF has been used by the asset management industry for various purposes. KF is an optimal choice in many cases and do at least better than a moving average smoothing. A port...
This strategy is an advanced version of the Loft Strategy V1, I shared earlier. (Loft Strategy V1 consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following and the kalman filter. If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach...
This strategy consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following the kalman filter. If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach Decrease Step" parameter.
This indicator plot 3 Kalman filter zero lag EMA lines. It has less lag and is also smoother than the original EMA. It also has an option to show the crossover of two EMAs.
Price smoothed by a Kalman filter to cutout noisy price.