Döviz
RSI KILLER John Ehlers
Smoothing indicators usually means making a tradeoff between the amount of smoothing you desire and the amount of lag you can stand. It turns out that the RSI can be smoothed and enhanced with minimum lag penalty
NAVI'S PERFECT TSIThe NAVI'S PERFECT TSI Indicator is the same as the True Strength Index (TSI) developed by
NAVI, except the SMI includes a signal line. The SMI uses double moving averages
of price minus previous price over 2 time frames. The signal line, which is an EMA of the
SMI, is plotted to help trigger trading signals. Adjustable guides are also given to fine
tune these signals. The user may change the input (close), method (EMA), period lengths
and guide values.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
ZR1DMI/ADX
blue is Bull momentum
yellow is Bear momentum
gray line is trending line
dotted is TREND LINE
idea:
look for two lines to be above the dotted TREND LINE
bullish = Bull momentum + Trending Line
bearish = Bear Momentum + Trending Line
when all three are converged or when Tending Line is below dotted its CHOP
Blue flashes when BULL momentum is growing
Yellow flashes when BEAR momentum is growing
NOTE: FOR PA TO MOVE WE DONT ALWAYS NEED 2 LINES ABOVE 1 BELOW
a secondary trade idea is simply on cross over .
when Trending line + one of the momentum lines crosses over the 3rd line (secondary momentum) this can also be seem as trend confirmation.
with that said the strongest and safest set ups are still when 2 is above the TRENDING LINE and 1 below
PpSignal Super Smoother Haiken Ashi Trend FolowSuper Smoother Haiken Ashi, based on the smoothed ALMA calculation.
Forex Market Live VolatilityHola,
here goes LIVE FX Volatility.
For INTRADAY scalping-> never trade in low volatility areas: the dotted-white line MUST always be higher than the pink lines below.
Pink thresholds above stand for High and Very High volatility moment.
When green peak levels go beyond the chart it means very violent price movements happening (spike behavior because of news releases or any other big fundamental facts and rumors)
Mit liebe gemacht,
Manu
PpSignal The Ultimate Moving Average Crossover 4.0VMA with linear regression smoothe haiken ashi and supertrend bollinguer trend direction
PpSignal The Ultimate Moving Average Crossover 3.0 (CFB)CFB tells you how long the market has been in a quality trend. This value can be used to adjust the period length of other indicators, especially stochastic bands.In order to quantify the overall duration of a market's trend, we replaced classical cycle analysis methods (FFT, MEM, MESA) with a form of analysis that works even when no cycles exist. We accomplished this by examining a time series for specific fractal patterns of any size. We then gather all the patterns found and combine them into one overall index, CFB (Composite Fractal Behavior) Index.For good reason, CFB does not analyze time series data for dominant cycles. Classical cycle analysis examines data points (e.g. prices) and estimates the average presence of a cycle in the window. Now suppose a cycle with a period length of 9 days was strong for 50 days and then disappeared for the next 21 days
PpSignal The Ultimate Moving Average Crossover 2.0In this version we move out hauken ashi smoothed, bollinguer band and coral. in this version the script have Vidya MA yelloy red color, step ma, lime maroon color, VMA gren. solver and red color and ppsignal hilo trima ma, with different time frame.
If you work in time frame 5 min to 15 min we recommend use hilo trima or alma in 60 min time frame, if you use 30 min to 60 min en 240 min time frame, and d in weekly time frame.
Ehlers MESA Adaptive Moving Averageeveloped by John Ehlers, the MESA Adaptive Moving Average is a technical trend-following indicator which, according to its creator, adapts to price movement “based on the rate change of phase as measured by the Hilbert Transform Discriminator”. This method of adaptation features a fast and a slow moving average so that the composite moving average swiftly responds to price changes and holds the average value until the next bar’s close. Ehlers states that because the average’s fallback is slow, you can create trading systems with almost whipsaw-free trades.
PpSignal Non lag SMAThe zero lag exponential moving average (ZLEMA) indicator was created by John Ehlers and Ric Way.
As is the case with the double exponential moving average (DEMA) and the triple exponential moving average (TEMA) and as indicated by the name, the aim is to eliminate the inherent lag associated to all trend following indicators which average a price over time.
The formula for a given N-Day period and for a given data series is:
{\displaystyle {\textit {Lag}}={(Period-1)/2}} {\textit {Lag}}={(Period-1)/2}
{\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}} {\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}}
{\displaystyle {\textit {ZLEMA}}={EMA(EmaData,Period)}} {\textit {ZLEMA}}={EMA(EmaData,Period)}
The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.
we use simple move average format for calculate this script.
PpSignal Non lag ALMAThe zero lag exponential moving average (ZLEMA) indicator was created by John Ehlers and Ric Way.
As is the case with the double exponential moving average (DEMA) and the triple exponential moving average (TEMA) and as indicated by the name, the aim is to eliminate the inherent lag associated to all trend following indicators which average a price over time.
The formula for a given N-Day period and for a given data series is:
{\displaystyle {\textit {Lag}}={(Period-1)/2}} {\textit {Lag}}={(Period-1)/2}
{\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}} {\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}}
{\displaystyle {\textit {ZLEMA}}={EMA(EmaData,Period)}} {\textit {ZLEMA}}={EMA(EmaData,Period)}
The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.
we use alma ma for calculate this script
PpSignal Non lag LSMAThe zero lag exponential moving average (ZLEMA) indicator was created by John Ehlers and Ric Way.
As is the case with the double exponential moving average (DEMA) and the triple exponential moving average (TEMA) and as indicated by the name, the aim is to eliminate the inherent lag associated to all trend following indicators which average a price over time.
The formula for a given N-Day period and for a given data series is:
{\displaystyle {\textit {Lag}}={(Period-1)/2}} {\textit {Lag}}={(Period-1)/2}
{\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}} {\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}}
{\displaystyle {\textit {ZLEMA}}={EMA(EmaData,Period)}} {\textit {ZLEMA}}={EMA(EmaData,Period)}
The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.
We use Linear regression ma for calculate this script
PpSignal The Ultimate Moving Average CrossoverNo matter how many times I explore new concepts, I tend to always incorporate a moving average, or two (if not on price, then on an oscillator). I am going to show the settings I have found to be most beneficial for finding the trend for the ES, forex, crypto etc. First, I have to admit, it is not just a simple crossover. Instead, it is a combination of a MA cross, Multi-Time Frame (MTF), and direction of a normalized moving average.
