Today we'll link time series forecasting with signal processing in order to provide an original and funny trend forecasting method, the post share lot of information, if you just want to see how to use the indicator then go to the section "Using The Indicator".
Time series forecasting is an area dealing with the prediction of future values of a series by using a...
This script uses a regular Stochastic RSI formula and then runs Ehlers' Super Smoother on top of it. It also provides buy/sell signals on crossovers.
The script is inspired by LazyBear Ehlers-Smoothed Stochastic RSI with Roofing Filter, except I find that the Roofing filter (existing implementation) does not work well near extreme price changes, where a regular...
This study plots a combination Rate of Change Indicator (ROC) and Smoothed Rate of Change (SROC) indicators.
The ROC and SROC are momentum indicators and can be used in ranging or trending markets, please refer to the references for further details of how to use the indicators.
Let me introduce my DSS Bressert (Double Smoothed Stochastic) script.
Double Smoothed Stochastics (DSS) is designed by William Blaw.
It attempts to combine moving average methods with oscillator principles.
The non-signal version of the absolute strength indicator from fxcodebase.com requested by ernie76 . This indicator originally from mt4 aim to estimate the bullish/bearish force of the market by using various methods.
Two lines are plotted, a bull line (blue) representing the bullish/buying...
The weights of this moving average are powers of the weights of the standard weighted moving average WMA .
When parameter Power = 0, you will get SMA .
When parameter Power = 1, you will get WMA .
Crossing the Smoothed Moving Averages with settings 5 & 13 give you confident signal for selling or buying.
IMPORTANT: Signal is always late.
SELL : Short SMMA (5) cross the Long SMMA (13) from top
BUY : Short SMMA (5) cross the Long SMMA (13) from down
Logistic Correlation is a correlation oscillator using a logistic function.
A Logistic Function is a Sigmoid Function who stabilize the variance of data.The logistic function have the same function as the inverse fisher transform but with an advantage over it, the k constant can control the steepness of the curve, lowers k's will preserve the original form of...
This indicator can have a wide variety of usages, and since it is based on exponential averaging then the whole indicator can be made adaptive, thus ending up with a really promising tool. This indicator who can both smooth price and act as a trailing stop depending on user preferences, i tried to make it as reactive, stable and efficient as...
Why use CLAM?
Because candle length may be difficult to discern in fast, choppy markets. CLAM plots current price activity against previous trends. The calculation is similar to Know Sure Thing (KST) without the lag. CLAM uses Triple EMAs (TEMA) instead of Simple Moving Averages (SMAs), and raw open - close instead of clunky Rate of Change (ROC). CLAM...
The ability the Kaufman adaptive moving average (KAMA) has to be flat during ranging markets and close to the price during trending markets is what make this moving average one of the most useful in technical analysis. KAMA is calculated by using exponential averaging using the efficiency ratio (ER) as smoothing variable where 1 > ER > 0 . An...
I inspired myself from the MACD to present a different oscillator aiming to show more reactive/predictive information. The MACD originally show the relationship between two moving averages by subtracting one of fast period and another one of slow period. In my indicator i will use a similar concept, i will subtract a quadratic least squares moving...
The TRIMA is simply the SMA of the SMA -- a double-smoothed simple moving average . The end effect of the double smoothing is that greater weight is placed on values near the middle of the lookback period. It therefore reacts relatively slowly to price changes compared to most moving averages .
But why would I want more lag?
One potential use of this moving...
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...
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...
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...