Fast smooth indicators that produce early signals can sound utopic but mathematically its not a huge deal, the effect of early outputs based on smooth inputs can be seen on differentiators crosses, this is why i propose this indicator that aim to return extra fast signals based on a slightly modified max-min normalization method. The indicator...
This indicator is in principle similar to Stochastic Oscillator, but contains the following improvements:
- advanced Ehlers-based smoothing (typically results in earlier signals than regular EMA smoothing)
- graceful degradation when few candles present for improved accuracy in the beginning of the chart
- buy/sell signals based on K-D crossover above/below thresholds
A derivation of the Kalman Filter.
Lower Gain values create smoother results.The ratio Smoothing/Lag is similar to any Low Lagging Filters.
The Gain parameter can be decimal numbers.
Kalman Smoothing With Gain = 20
For any questions/suggestions feel free to contact me
Buying and Selling Smoothed with Histogram
Smoothed version with version with a red line representing the selling pressure and a green line which represents the Buying pressure.
If the green line is above the red line it would mean that the Buying pressure is more and vice versa.
The difference between the two is plotted as a Histogram. This is a cumulative...
Here's a modified version of the Elder Ray Index created by the famed Dr.Alexander Elder. This indicator has proven to be especially helpful lately given the crazy state of crypto.
Slow Moving Average :
The top chart shows the moving average used to filter trends. I recommend using a higher window length(can be adjusted with the 'lenSlowMA' input option). I...
Back when i started using pine i made a script called periodic channel who aimed to rescale an average correlated sine wave to the price...don't worked very well. So i tried to fix problems induced by the indicator without much success, i had to redo it from scratch while abandoning the idea of rescaling correlated smooth functions to the price, at...
This is a modification of an old indicator i made. This filter aim to adapt to market trend by creating a smoothing constant using highest and lowest functions. This filter is visually similar to the edge-preserving filter, this similarity can make this filter quite good for MA cross strategies.
On The Filter Code
a = nz(a ) + alpha*nz(error )...
Based on the exponential averaging method with lag reduction, this filter allow for smoother results thanks to a multi-poles approach. Translated and modified from the Non-Linear Kalman Filter from Mladen Rakic 01/07/19 www.mql5.com
length control the amount of smoothing, the poles can be from 1 to 3, higher...
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...
Applying a window to the filter weights provides sometimes extra control over the characteristics of the filter.In this script an hamming window is applied to the volume before being used as a weight.In general this process smooth the frequency response of a filter.
Lets compare the classic vwma with hamming windowed vwma
This study plots Smoothed Rate of Change (SROC) indicators for up to 4 different time frames. The indicator does not use higher time frame data, so will not re-paint. The SROC is a momentum indicator and can be used in ranging or trending markets, please refer to the reference for further details of how to use the indicators.
Cycles represent relatively smooth fluctuations with mean 0 and of varying period and amplitude, their estimation using technical indicators has always been a major task. In the additive model of price, the cycle is a component :
Price = Trend + Cycle + Noise
Based on this model we can deduce that :
Cycle = Price - Trend - Noise
The indicators specialized...
Developed by Emily Karobein, the Karobein oscillator is an oscillator that aim to rescale smoothed values with more reactivity in a range of (0,1)
The scaling method is similar to the one used in a kalman filter for the kalman gain.
We first average the up/downs x, those calculations are similar to the ones used for calculating the average...