Studi cicli? Questo fa per te, le bande che altro non sono due medie mobili, tengono il prezzo alle due estremità (in alto e in basso).
Questo ti farà semplicemente analizzare e tenere traccia i cicli dello strumento in questione.
Do you study cycles? This is for you, the bands, formed by two moving averages, keep the price between the two ends (top and...
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...
Trailing stops play a key role in technical analysis and are extremely popular trend following indicators. Their main strength lie in their ability to minimize whipsaws while conserving a decent reactivity, the most popular ones include the Supertrend, Parabolic SAR and Gann Hilo activator. However, and like many indicators, most trailing stops assume an...
Simple Indicator based on 3 Simple and 3 Exponential Moving Averages. Used to indicate Market Cycles.
Definition of Bull Market: 10 SMA is above 21 EMA . 30 SMA slope is up. 55 EMA is trending above 200 EMA .
Definition of Bear Market: 10 SMA is below 21 EMA . 30 SMA slope is down. 55 EMA is trending below 200 EMA .
Reverse formulated what the closed source version is and releasing open source publicly to give back to the community.
If you have any questions feel free to join our Discord!
Introduction
A simple and really clean cycle oscillator, in fact its quite precise even if the script use recursion which can sometime produce totally uncorrelated results.
On The Code
The calculations start with a who is a smoothing/averaging constant. Then comes src who is the input and is defined as the sum of the closing price with the output, then...
Introduction
If you rescale a sine wave to the price you will need to correlate it with it in order to show good results, today i present a different method that does not involve correlation to "morph" a sine wave to the price in order to provide forecast's and highlight market periodic patterns.
Parameters
length control the period of the sine wave, ...
Introduction
Adaptive technical indicators are importants in a non stationary market, the ability to adapt to a situation can boost the efficiency of your strategy. A lot of methods have been proposed to make technical indicators "smarters" , from the use of variable smoothing constant for exponential smoothing to artificial intelligence.
The dominant cycle...
This indicator was originally developed by John F. Ehlers (Stocks & Commodities , V.18:7 (July, 2000): "Optimal Detrending").
Mr. Ehlers applied the ideas of the radar systems for the financial time series detrending.
Mr. Ehlers constructed the Triple Delay-Line Canceller first, then smoothed it with the Modified Optimum Elliptic Filter with minimal lag. The...
The Self Referencing Stochastic Oscillator
The stochastic oscillator bring values in range of (0,100). This process is called Feature scaling or Unity-Based Normalization
When a function use recursion you can highlights cycles or create smoother results depending on various factors, this is the goal of a recursive stochastic.
For example : k =...
The BBC indicator shows price in relation to the upper (in red) and lower (in green) Bollinger Bands
It highlights breaks in the Bands, where the 0-line represents a price equal to the band.
These breaks can either be used as take-profit points or as entry points, depending on trend direction.
Entries can be at the beginning of a break (eg. for impulse or...
Stochastic CG Oscillator (Center of Gravity) script.
This indicator was originally developed by John F. Ehlers (see his book `Cybernetic Analysis for Stocks and Futures`, Chapter 8: `Stochasticization and Fisherization of Indicators`).
This is the translation of discret cosine tranform (DCT) usage by John Ehler for finding dominant cycle period (DC).
The price is first filtered to remove aliasing noise(bellow 8 bars) and trend informations(above 50 bars), then the power is computed.
The trick here is to use a normalisation against the maximum power in order to get a good frequency...
![AMD: Grover Llorens Cycle Oscillator [alexgrover & Lucía Llorens]](https://s3.tradingview.com/z/zZCpzplM_mid.png "Grover Llorens Cycle Oscillator [alexgrover & Lucía Llorens]")
![AMD: Grover Llorens Activator [alexgrover & Lucía Llorens]](https://s3.tradingview.com/u/UVzC9TOv_mid.png "Grover Llorens Activator [alexgrover & Lucía Llorens]")
![BLX: [Maco] PUELL MULTIPLE](https://s3.tradingview.com/e/ecEyOv0B_mid.png "[Maco] PUELL MULTIPLE")
