This is an experimental study inspired by Goichi Hosoda's Ichimoku Kinkō Hyō.
In this study, a McGinley Dynamic replaces the Tenkan-Sen and Kaufman's Adaptive Moving Average replaces the Kijun-Sen.
The cloud is calculated by taking the mean of the highest high and lowest low, adding a golden mean standard deviation above and below, and offsetting it over the...
Following some recommendations and ideas I share this moving average, put all of them together
The length calculation is automatic there is only one input.
The length is inverse so it will wrap from the longest reference point, hence using phi
Moving averages will wrap around the price.
I've also added gradient color to plots and fill...
It is a trend detector indicator, using 3 moving averages.
You can select different MA's and set the periods of them. If all 3 is increasing, the color will be green, if decreasing, the color will be red, gray otherwise.
It can be used for e.g. scalping.
In the first short signal example, after price closes below the ALMA and the parabolic SAR plots above the price high, sell signal is opened with the stops trailed to the PSAR values until the trade is stopped out.
Similarly, you can see a long position where price cuts above the ALMA and the Parabolic SAR plots below the price low. Using these values as the...
The Arnaud Legoux Moving Average (ALMA) indicator was recently added to the family of moving averages. It was developed in 2009 by Arnaud Legous and Dimitrios Kouzis Loukas. Since then, this indicator has gained huge popularity among traders.
ALMA works like any moving average work. However, the calculation of the ALMA is more perfect...
This is an RSI Variation with six different averaging methods to choose from.
The averaging methods I've included in this script are:
- Exponential Moving Average
- Simple Moving Average
- Smoothed Moving Average
- Weighted Moving Average
- Volume Weighted Moving Average
- Arnaud Legoux Moving Average
Each method produces a different, yet significant gauge of...
You can choose one of these MA types in params:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Arnaud Legoux Moving Average (ALMA)
Hull Moving Average (HMA)
Volume-weighted Moving Average (VWMA)
Least Square Moving Average (LSMA)
Smoothed Moving Average (SMMA)
Double Exponential Moving Average...
This script allows you to add two moving averages to a chart, where the type of moving average can be chosen from a collection of 15 different moving average algorithms. Each moving average can also have different lengths and crossovers/unders can be displayed and alerted on.
The supported moving average types are:
Simple Moving Average ( SMA )
This is an experimental study designed to visualize trend activity and volatility using a set of two Bollinger Bands calculated with a basis moving average type of your choice.
The available moving averages in this script are:
-Exponential Moving Average
-Simple Moving Average
-Weighted Moving Average
-Volume Weighted Moving Average
-Hull Moving Average
This is a full crypto swing strategy designed.
From my testing it looks like it perform the best on timeframes 4h +.
The below example has been adapted to BNB/USDT, using the entire period since 2017 until present day, with a comission of 0.03% ( which is the comission for the futures on binance).
Its components are :
This hasn't been done before. People know the ALMA moving average, TradingView, of course, has a built-in function for the ALMA = alma(). But, when you use built-in functions, you can't have a series as a length. Pinecoders put out a bunch of functions for various routines wherein the built-in doesn't allow for a series as a length. I got some help from @everget...
Okay, so this is a lot. It started mostly with me combining indicators and looking for ideal entry criteria.
It is also a collection of conditions, whether used or unused, for my current chosen "best" strategy. It is currently set how I like it, but it has changed with time, and will continue to do so. Within, there are variables that are unused, but offer some...
The KDJ oscillator display consists of 3 lines (K, D and J - hence the name of the display) and 2 levels. K and D are the same lines you see when using the stochastic oscillator. The J line in turn represents the deviation of the D value from the K value. The convergence of these lines indicates new trading opportunities. Just like the...
Simple redo of PPO using ALMA
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