ดัชนีดอลล่าร์สหรัฐอเมริกา, THB/USD, EUR/USD, USD/JPY, GBP/USD, GBP/JPY
PTT PUBLIC COMPANY LIMITED, BANGKOK EXPRESSWAY AND METRO, PTT GLOBAL CHEMICAL PUBLIC COMPANY, TAOKAENOI FOOD & MARKETING, AIRPORTS OF THAILAND PUBLIC COMPANY, INDORAMA VENTURES PUBLIC COMPANY LIMITED
SET INDEX, SET100 INDEX, เอสแอนด์พี 500, ดาวน์ 30, นิเคอิ 225, ฮั่งเส็ง
ทองคำ, น้ำมันดิบ, BRENT LAST DAY FINANCIAL FUTURES (CONTINUOUS: CURRENT CONTRACT IN FRONT), เงิน, ก๊าซธรรมชาติ, บิทคอยน์
สหรัฐอเมริกา 10 ปี, พันธบัตรยูโร, เยอรมัน 10 ปี, ผลตอบแทนพันธบัตรญี่ปุ่น 10 ปี, สหราชอาณาจักร 10 ปี, อินเดีย 10 ปี
ทองคำ, น้ำมันเบรนท์, น้ำมันดิบ, สัญญาการซื้อขายส่วนต่างก๊าซธรรมชาติ, พาลาเดียม, เงิน
Introduction Remember that we can make filters by using convolution, that is summing the product between the input and the filter coefficients, the set of filter coefficients is sometime denoted "kernel", those coefficients can be a same value (simple moving average), a linear function (linearly weighted moving average), a gaussian function (gaussian filter), a...
This is an experimental study built on the concept of using roofing filters on price data proposed by John Ehlers. Roofing filters are a type of bandpass filter conventionally used in HF radio receivers in the first IF stage to limit the frequency spectrum passed on to later stages in the receiver. The goal in applying roofing filters to a price signal is to...
This is an experimental study designed to attenuate higher frequency oscillations in price and volatility with minimal lag. In this study, a single pole low pass filter is used. The low pass filter's cutoff period is determined either by a fixed user input, or by using an Instantaneous Frequency Measurement (IFM) algorithm. Most radar warning, electronic...
This is Keltner Channel where I added Bull and Bear signals. It has a lot of settings to play around with. Have fun... For more information on Keltner Channel: www.investopedia.com
This is a potential solution to dealing with the inherent lag in most filters especially with instruments such as BTC and the effects of long periods of low volatility followed by massive volatility spikes as well as whipsaws/barts etc. We can try and solve these issues in a number of ways, adaptive lengths, dynamic weighting etc. This filter uses a non linear...
Introduction The estimation of a least squares moving average of any degree isn't an interesting goal, this is due to the fact that lsma of high degrees would highly overshoot as well as overfit the closing price, which wouldn't really appear smooth. However i proposed an estimate of an lsma of any degree using convolution and a new sine wave series, all the...
Introduction Envelopes indicators consist in displaying one upper and one lower extremity on the price chart. They are most of the time built by adding/subtracting a volatility estimator (rolling stdev, atr, range...etc) to a central tendency estimator (SMA, EMA, LSMA...etc). Their interpretation is often subject to debate amongst technical analyst, some will use...
Famous Filtered Pivots Indicator -Many TimeFrames Available CM_Pivot Points_M-W-D-4H-1H_Filtered ***Special Thanks to TheLark...AKA...The Coding Genius For Providing His Expertise... ***New Feature - Ability to turn On/Off Pivot Moving Average ***New Feature - Ability to turn On/Off Filtered Pivots (Explained Below) Available Timeframes (Change In Inputs...
This study is an experiment utilizing the Ehlers Gaussian Filter technique combined with lag reduction techniques and true range to analyze trend activity. Gaussian filters, as Ehlers explains it, are simply exponential moving averages applied multiple times. First, beta and alpha are calculated based on the sampling period and number of poles specified. The...
This indicator was originally developed by Mark Jurik. NOTE: If Mr. Jurik ask me to remove this indicator from public access then I will do it.
Check the settings to see how the filters work. I added alerts and a feature that shows the divergences that have been filtered, but as faded "ghost" divergences. Spooooky. This is useful for tuning the script to a particular market. All credit to RicardoSantos for the original.
Roofing filters, first discussed by Mr.John Ehlers, act as a passband, filtering out unwanted noise from market data and accentuating turning points. I have included 2 indicators with filters enabled. Both support double smoothing via options page. All the parameters are configurable. Info on Roofing Filter and Ehlers Super...
Even though there are a many other Fractal and Level indicators, this indicator has some unique features. The indicator will display Fractals, fractal levels and HH/LL points, they will only be drawn after they have completed. Also the indicator has options to : Show Ideal Fractals Only. Use Renko Style Fractals, where open/close values are used instead of...
This is an experimental study designed to identify underlying price activity using a series of Laguerre Filters. Two different modes are included within this script: -Ribbon Mode - A ribbon of 18 Laguerre Filters with separate Gamma values is calculated. -Band Mode - An average of the 18 filters generates the basis line. Then, Golden Mean ATR over the specified...
What's new? v2 has added multi timeframe support. Blatantly stole Chris Moody's code for multi timeframe, because why re-invent the wheel? Thanks Chris ;P BUT -- modified the coloring to work correctly with higher timeframes, just another Lark hack, so it's a give and take :) _____________________________ The Laguerre Average (filter) was discovered by John...
This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI. First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount. Next, the filter is...
Introduction Using conditions in filters is a way to make them adapt to those, i already used this methodology in one of my proposed indicators ARMA which gave a really promising adaptive filter, ARMA tried to have a flat response when dealing with ranging market while following the price when the market where trending or exhibiting volatile movements, the filter...
A quadratic regression is the process of finding the equation that best fits a set of data.This form of regression is mainly used for smoothing data shaped like a parabola. Because we can use short/midterm/longterm periods we can say that we use a Quadratic Least Squares Moving Average or a Moving Quadratic Regression. Like the Linear Regression (LSMA) a...