MACD ZERO RETARD + Zones importantes (CedSako)MACD indicator with zero lag. (formula calculated so as to be as close as possible to the price reaction).
In addition, you can add a background that will give you the key buy and sell zones (the first based solely on the MACD ZR, the second on a Momentum system and finally the ultimate zones include the MACD and the Momentum) .
This indicator is not a buy or sell signal, but can usefully be used in your strategy to confirm your entry and exit points.
Do not hesitate to go see my other indicator (based on volatility and different averages).
Циклический анализ
iTrade |||Instructions :
Financial Markets: NSE/ BSE / MCX /Crypto / Forex
> Optimised settings for 3 min, 5 min and 15 min Time Frame.
This software used in calculations:
> Advance Price Action Levels
> Buy/Sell - Target/SL Levels
How to use:
> Use software with Default Settings.
For Buy :
> If the price is above the Buy Line than Buy.
For Sell :
> If the price is below the Sell Line than Sell.
How to get access:
Please click on the link in the signature or send me a private message to get access.
Sacred: Cycles"Cycles offer freedom to those who see them, and fate to those who don't."
Following liquidity cycles is one of the most useful tools of making in financial markets. Over the longer term, it helps you get in at the beginning of plenty and out before the droughts. This script aims to simplify that for the average trader by displaying tree types of information:
Currents
More often than you might imagine, prices are interacting with moving averages across various timeframes. Zoom in or out enough and you'll probably find a moving average that intersects any given price turn/pause. But how to find them? It turns out if you take a fractal approach and scale up or down common time periods, you can generate surprisingly useful support and resistance levels you wouldn't otherwise plot. I call these moving averages "currents". By changing time intervals, you'll be able to find which current is affecting your charts price. (Note: Only works with tickers that have volume data.)
Financial Conditions
Proper technical analysis will give you an idea of which price levels are important and when a pattern is likely to resolve. But how to decide which direction you should bet on? That's where liquidity comes into play. For those tickers that are sensitive to broader liquidity conditions, these markers will tell you if you're in a bearish or bullish regime. After a bearish marker, it's time to sell rips. In a bearish one, buy the dip.
Recessions
Waiting for recessions to be announced by the NBER is a waste of time. You need to know today if recessionary conditions exist. That's where following coincident growth indicators instead of lagging ones helps. This script adds a red background to indicate weakening US growth.
Time Trades 1929The Time Trades script showing key timing elements for the period of 1927-1930, centered around the 1929 crash.
This script includes the following timing elements:
Medium Pivots is a rough 3 month cycle based on the inner planets. This script includes Medium Pivots from 1924-10-01 to 1930-09-30
Small Pivots is a monthly cycle based on the Moon. This script includes Small Pivots from 1926-10-01 to 1929-12-29
Gann Waves is a different monthly cycle based on the Moon. This script includes Gann Waves from 1926-10-01 to 1930-03-29
New lunar signs indicates when the moon enters Aquarius or Leo which tends to be important signs for trend changes. This script includes Aquarius and Leo lunar signs from 1929-04-03 to 1929-12-29
Unlike the Time Trades script for current dates, this script does NOT include:
Cheat Code purple or teal vertical lines
Moon void of course periods as we don't have access to intraday prices in the historical dataset
Lunar aspects as we don't have access to intraday prices in the historical dataset
This script is part of the Time Trades service.
Optimal Confidence Scalper [OCS]Introduction
OCS : Optimal Confidence Scalpers, Utilise the computational approach towards finding confidence estimating in signal generating process, It helps u enter and exit the financial markets quickly, It buy and sell many times in a day with the objective of making consistent profits from incremental movements in the traded security's price. As we all know Lag is very undesirable because a trading system. Late trades can many times be worse than no trades at all, Main aim of the System is to find optimal Entry and Exit points for a successful trade
Mathematics behind the indicator
The indicator use two fundamentals pillars :
Estimation of a Confidence Interval
In frequentist statistics, a confidence interval (CI) is a range of estimates for an unknown parameter. A confidence interval is computed at a designated confidence level; the 95% confidence level is most common, but other levels, such as 90% or 99%, are sometimes used.
Desired properties are Validity, Optimality and Invariance
Polynomial Filters
The polynomial filters are based on the orthogonal polynomials of Legendre and Laguerre. Orthogonal polynomials are widely used in applied mathematics, physics and engineering, and the Legendre and Laguerre polynomials are only two of infinitely many sets, each of which has its own weight function.
They can be characterized in three equivalent ways:
1. They are the optimal lowpass filters that minimize the NRR, subject to additional constraints than the DC unity-gain condition
2. They are the optimal filters that minimize the NRR whose frequency response H(ω) satisfies certain flatness constraints at DC
3. They are the filters that optimally fit, in a least-squares sense, a set of data points to polynomials of different degrees.
The System uses Predictive Differentiation Filters, as subset to Polynomial Filters
Components of the System
Buy Signal and Sell Signals
=====================
=====================------ HOW TO USE IT
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ENTRY and EXITS
Momentum Bands
Confidence Levels
Indicator Properties
Provision For Alerts
1. Buy Signal Alert
2. Sell Signal Alert
3. Exit Alert if in Buy Trade
4. Exit Alert if in Sell Trade
Some Examples
What TimeFrames To Use
U can use any Timeframe, The indicator is Adaptive in Nature,
I personally use timeframes such as : 1m, 5m 10m, 15m, ..... 1D, 1W
How to Access
U will need to privately message me.
use comment box for constructive comments
Thanks
OBV Trend Indicator by Bruno MoscanOBV Trend is a modification I made in other scripts, so that after months of testing, I got a very accurate indicator as to the right moment to enter a high-yield trade.
The red line indicates the very short-term OBV variation, counting the last 3 candles.
The yellow line shows the short-term OBV variation, counting the last 9 candles.
The white line shows the medium-term OBV variation, counting the last 21 candles.
The trend is up (Bull Market) while the order of the lines on the chart is Red/Yellow/White.
The trend is Bear Market while the order of the lines on the chart is White/Yellow/Red.
If the Yellow line is in the first position, either from bottom to top, or from top to bottom, it is a sign that the trend is changing, reversing, wait for the lines to organize before entering the movement.
When the lines are so close together that it is difficult to understand the correct order of the lines, it means that you are facing the best possible entry point. Wait for the lines to separate, at the first perfect food signal as described above, enter the movement, at this point, your stoploss may be very short, positioned at the base of the last candlestick.
The indicator works best on H1, H2, H4 and D1. In the Weekly until the signal reversal occurs, you can lose several days, sometimes weeks. On minute charts, there are many reversals and you can be stopped many times.
Good trends.
*Translate by Google Tradutor*
*In Brazil, we speack Portuguese, not Spanish or English :p *
Market GloryV1 -Introducing the new Market Glory indicator! In this indicator you will find:
- Dynamic Trends: a beta feature that takes into account both the maximum high and lowest low values anywhere between 5 to 200 bars back to determine the respective resistance and support levels at all times, with a trailing guidance middle bar that can serve as a meter for direction and takes into account only the close values of the defined 5-200 lookback bars! ( ***Strictly based on the 1 minute timeframe. )
- Engulfing bars: a beta feature that allows you to seek out potential reversal bars, based on the dema tema clouds and the respective bar's open and close!!
- Cycle bars: a Market Sniper classic feature, enabling you to catch momentum, consolidation, and continuation via hollow candles! This is achieved by detecting whether the open and close values stem from within the dema tema cloud's boundaries!
- Levels: also a Market Sniper classic, which lets you see support and resistance levels based on previous daily, weekly, and monthly opening and closing values! Also takes into account current closing price action, which will update the levels after being broken!! Furthermore, takes into account fibonacci steps (0.236, 0.382, and 0.5) per timeframe to determine where the nearest level will draw out. **The Calibration feature enables you to look ahead for potential upcoming resistances, with maximum precision.
- EMA crossings: A legacy feature in almost any popular indicator, as a means to correspond with the dema tema cycles for better entries and exits!!
- Multi-timeframe popup labels: By hovering (or long pressing in mobile) over the support and resistance level labels, you can see each dedicated timeframe's current cycle and crossing, to assess whether the stock is following a particular direction! (based solely on real-time close value)
- Lastly...
--- Fully customizable options in coloring and values, including ready-to-go defaults with tooltips to guide you to the Glory you deserve!!!
Stablecoins CorrelationThe indicator shows the correlation between stablecoins and bitcoin by means of liquidity flowing from stables to crypto and back. Where the indicator has highs, the bitcoin is usually the bottom and vice versa.
Bias AnalyzerName: Bias Analyzer
Category: Market Analyzer
Timeframe: 1H and 1D, depending on the Analysis type.
Technical Analysis: Usually when we think about a Trading System we start from an idea. This idea comes normally from observation and the study of the market.
Have we ever observed a market - for example Bitcoin - and thought that it increases at the start of a USA session? Great, this is a well-known category of Trading System and the purpose of the Bias Analyzer is to study these phenomena.
There are different types of Trading System that we can classify considering the market in-efficiency that we use to our advantage. In this case we make the Bias. Literally "inclination" or "presupposition" or precisely "tendency" of the price to go up or down in a temporal way.
The characteristics of the Bias depend on how much the Bias is persistent on the market since the analysed period. therefore we can consider:
Hourly Bias : analysing the hourly behaviours during the week. Trades normally last from a few hours to a few days.
Seasonal Bias : analysing the behaviour of the weeks in the monthly or annual context, evaluating the seasons.
Suggested usage: The possibilities of the tool are infinite, these are some scenarios of use:
Development of Intraday Trading Systems based on Hourly Bias with possible filters for specific days of the week.
Development of a Multi-day Trading System based on daily Bias with monthly analysis.
To identify the best day to execute our investment through Dollar Cost Average with a bit of healthy buy the dip
Main features:
Hourly Summary organized in Week
The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week.
Hourly Details organized in different entry/exit
Shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours.
Daily Summary organized in Months
The cells contain the summation of the various price deltas for the single day.
Hourly Details organized in different entry/exit
Allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days.
Configuration: You can configure the tool easily and completely.
Analysis
Calculate from Close to Open : this is the core of the whole analysis where the "Price Delta" to be calculated is defined. At this moment there is the possibility to calculate the distance between opening and closing.
Calculate in Percent or Cash : this allows to calculate the Price Delta in Percent or in Cash.
Analysis on 1H Timeframe
Show Hourly Summary on : allows to visualise the summary analysis table of the week. The cells contain the sum of the various price deltas for the single hour. The transparency indicates the frequency in which the candles close positive or negative. This information is available both in a synthetic way, as in the first column "Sum", and for each day of the week. At the bottom left there is also data which allows us to understand how many candles are being analysed. At the bottom of each day it is possible to visualise the cumulative data of the day. The position of the table is customizable.
Show Hourly Details of on : allows to visualise the detailed analysis table, choosing to do it for all days or for a specific day, and shows the cumulative data of the various deltas, considering the purchase and the sale at certain times. In the rows are represented the buying hours and in the columns the selling hours. For example, going to the table "All Days" we can see in the cell of row 13 and in column 22 the cumulative data of a possible buy on 13 and a sell at the end of 22. To facilitate the research of the values there is a configurable transparency system.
Analysis on 1D Timeframe
Show Daily Summary on : allows to visualise the summary analysis table of the month. The cells contain the summation of the various price deltas for the single day: The first row is the summation of all days of the month for all months in the analysis period, while the other rows represent the analysis for the various days of the individual months.
Show Daily Details of on : allows to visualise the detailed analysis table, choosing to do it for all the months or for a specific month and shows the cumulative data of the various deltas, considering the purchase and the sale in certain days. In the rows are represented the buying days and in the columns the selling days. For example, going to the table "All Months" we can see in the cell at row 1 and at column 3 the cumulative of a possible purchase on the 1st and the sale on the 3rd. To facilitate the research of the values, there is a configurable transparency system.
Table Layout
Size : allows to define the size of the text in the table.
Precision : it is possible to define the decimal precision of the calculations presented in the tables.
Transparency Factor : allows the application of a multiplication factor when the table calculates the transparency of detail tables.
Colours : allows to specify the colours of Profit, Loss and Neutral, besides to adapt a style coherent with the Dark Mode or Light Mode of Trading View
Volatility Filter
It is possible to directly apply a filter to the time series on which the delta is calculated. The volatility filter uses the ATR - an indicator that allows you to calculate the volatility in a given period. Briefly: the higher the ATR value, the higher the volatility. Therefore the filter works by comparing the volatility on two periods and indicates compression or expansion.
Backtest Dates
In order to facilitate the identification of in-sample and out-of-sample data, as well as the degradation of a given behaviour, it is possible to specify a period in which to do the analysis.
Pi CycleImplementation of Pi Cycle Top and Pi Cycle Bottom with clear visualization
Pi Circle Top is slightly modified to be closer to Pi sma 113 & sma (355) * 2)
Pi Circle Bottom is ISO sma 571 & ema 150
Script will adapt to timeframe but under hourly it might not work due to the high amount of candles to take into account.
Moon Phases/Apogee & Perigee/Eclipses/North Node by BTThis script helps us to display date of different lunar properties on price chart. Simply following items could be used to see dates.
New moon
Full moon
Apogee
Perigee
North node
I've used following web site (fourmilab.ch) for obtaining exact dates, according to web site "All dates and times are Universal time (UTC); to convert to local time add or subtract the difference between your time zone and UTC"
Gann Box by time frame
█ OVERVIEW
This script is designed to plot Gann boxes within a specific time frame candle. That means, you can get your intraday Gann box with one click and zoom in to low time frame. Highs and lows are set by candle chosen, you can display the yearly Gann box if that's something you want to view!
In addition, this script can highlight the golden ratio and its inverse ( .618 & .382 ) within the box itself. You have the option to select between a daily, a weekly, or a monthly candle. Not to mention that you have the ability to select a multiplier to those candles, where for example, you would be able to plot the 3 month ( quarterly ) gann box. or the yearly by selecting 12 months! This script includes zero, one and two divisions to Gann box. The first division would get you the sun lines only. while the first division has the middle 0.5 point and so on. This script is meant to be used as a one-click fast solution. Highs and lows get adjusted as the chart breaks those levels automatically.
█ Future Plans and upgrades to this script may include :
1. Adding more divisions.
2. Data box that shows box stats and performance.
3. More geometrical features such as the spirals and the circles on demand by one click.
and more! feel free to let me know what you'd like to see!
█ How to use :
1. Put the script on your chart
2. Navigate to the settings
3. Select your box's time frame.
give the script a few seconds and you should be set.
This script is coded as an addon to the Gann ToolBox package/scripts.
deseasonalized_modDescription:
As in the decomposition of time series data, the indicator was modified from the deseasonalized process, to avoid overfitting as in the original format, aiming to exclude seasonal component (shorter time-period in consideration), thus leaving trend and irregularity. The indicator is expected to identify short-term trends, based on the given timeframe.
Notes:
Length set to 10-bar as default, while reducing the length to e.g. 8 increase more responsive of the fitted data, however inline to increase a false trend identification (bias-variance trade-off). To be noted, the indicator wasn't a momentum indicator, thus can only expect the trend identifier instead. If the price is above the fitted line (indicator), and experiencing a retracement, regularly expected to be bounced around the fitted line (support), while if breaks to the downside, expected a trend reversal, and become a (resistance).
Feature:
Buy/Long overlay signal
Sell/Short overlay signal
Alert
Cycle-Period Adaptive, Linear Regression Slope Oscillator [Loxx]Cycle-Period Adaptive, Linear Regression Slope Oscillator is an osciallator that solves for the Linear Regression slope and turns it into an oscillator. This is a very simple calculation and uses one of Ehler's first implementations of his cycle period calculations. The output slope value is smoothed after calculation and before being drawn. This is a sort of momentum indicator and has a rich history with Forex traders around the world.
What is the Cycle Period?
The spectral content of the data are measured in a bank of contiguous filters as described in "Measuring Cycle Periods" in the March 2008 issue of Stocks & Commodities Magazine. The filter having the strongest output is selected as the current dominant cycle period. The cycle period is measured as the number of bars contained in one full cycle period.
What is Linear Regression?
In statistics, linear regression is a linear approach for modeling the relationship between a scalar response and one or more explanatory variables. The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear regression.
Included:
Bar coloring
2 signal types
Alerts
Loxx's Expanded Source Types
Loxx's Moving Averages
Time Sessions - S/RThis scripts shows you some time sessions such as NY open, NY mid, London Open and Daily Close for UTC - 0
It also plots resistance and support based on the last 15 candles but you can change it in settings.
Days and Session
This indicator optionally displays 2 informations:
- The Day of the week
- The New session's Candle
You can turn off/on the displayed information
Disclaimer: Scripts that I post publicly are experimental. They are not financial advices. Always backtest your ideas using your own methodologies.
PA-Adaptive TRIX Log [Loxx]PA-Adaptive TRIX Log is a Phase Accumulation Adaptive TRIX Log indicator. This adaptation smooths the signal to catch larger trends.
What is TRIX?
TRIX is a momentum oscillator that displays the percent rate of change of a TEMA . It was developed in the early 1980's by Jack Hutson, an editor for "Technical Analysis of Stocks and Commodities" magazine. With its triple smoothing, TRIX is designed to filter insignificant price movements. In his article he uses a logarithm of a price (which is in many versions, left out).
What is the Phase Accumulation Cycle?
The phase accumulation method of computing the dominant cycle is perhaps the easiest to comprehend. In this technique, we measure the phase at each sample by taking the arctangent of the ratio of the quadrature component to the in-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample we can then look backwards, adding up the delta phases.When the sum of the delta phases reaches 360 degrees, we must have passed through one full cycle, on average.The process is repeated for each new sample.
The phase accumulation method of cycle measurement always uses one full cycle’s worth of historical data.This is both an advantage and a disadvantage.The advantage is the lag in obtaining the answer scales directly with the cycle period.That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. longer averaging reduces the noise level compared to the signal.Therefore, shorter cycle periods necessarily have a higher out- put signal-to-noise ratio.
Included
Bar coloring
2 signal options
Alerts
Poly Cycle [Loxx]This is an example of what can be done by combining Legendre polynomials and analytic signals. I get a way of determining a smooth period and relative adaptive strength indicator without adding time lag.
This indicator displays the following:
The Least Squares fit of a polynomial to a DC subtracted time series - a best fit to a cycle.
The normalized analytic signal of the cycle (signal and quadrature).
The Phase shift of the analytic signal per bar.
The Period and HalfPeriod lengths, in bars of the current cycle.
A relative strength indicator of the time series over the cycle length. That is, adaptive relative strength over the cycle length.
The Relative Strength Indicator, is adaptive to the time series, and it can be smoothed by increasing the length of decreasing the number of degrees of freedom.
Other adaptive indicators based upon the period and can be similarly constructed.
There is some new math here, so I have broken the story up into 5 Parts:
Part 1:
Any time series can be decomposed into a orthogonal set of polynomials .
This is just math and here are some good references:
Legendre polynomials - Wikipedia, the free encyclopedia
Peter Seffen, "On Digital Smoothing Filters: A Brief Review of Closed Form Solutions and Two New Filter Approaches", Circuits Systems Signal Process, Vol. 5, No 2, 1986
I gave some thought to what should be done with this and came to the conclusion that they can be used for basic smoothing of time series. For the analysis below, I decompose a time series into a low number of degrees of freedom and discard the zero mode to introduce smoothing.
That is:
time series => c_1 t + c_2 t^2 ... c_Max t^Max
This is the cycle. By construction, the cycle does not have a zero mode and more physically, I am defining the "Trend" to be the zero mode.
The data for the cycle and the fit of the cycle can be viewed by setting
ShowDataAndFit = TRUE;
There, you will see the fit of the last bar as well as the time series of the leading edge of the fits. If you don't know what I mean by the "leading edge", please see some of the postings in . The leading edges are in grayscale, and the fit of the last bar is in color.
I have chosen Length = 17 and Degree = 4 as the default. I am simply making sure by eye that the fit is reasonably good and degree 4 is the lowest polynomial that can represent a sine-like wave, and 17 is the smallest length that lets me calculate the Phase Shift (Part 3 below) using the Hilbert Transform of width=7 (Part 2 below).
Depending upon the fit you make, you will capture different cycles in the data. A fit that is too "smooth" will not see the smaller cycles, and a fit that is too "choppy" will not see the longer ones. The idea is to use the fit to try to suppress the smaller noise cycles while keeping larger signal cycles.
Part 2:
Every time series has an Analytic Signal, defined by applying the Hilbert Transform to it. You can think of the original time series as amplitude * cosine(theta) and the transformed series, called the quadrature, can be thought of as amplitude * sine(theta). By taking the ratio, you can get the angle theta, and this is exactly what was done by John Ehlers in . It lets you get a frequency out of the time series under consideration.
Amazon.com: Rocket Science for Traders: Digital Signal Processing Applications (9780471405672): John F. Ehlers: Books
It helps to have more references to understand this. There is a nice article on Wikipedia on it.
Read the part about the discrete Hilbert Transform:
en.wikipedia.org
If you really want to understand how to go from continuous to discrete, look up this article written by Richard Lyons:
www.dspguru.com
In the indicator below, I am calculating the normalized analytic signal, which can be written as:
s + i h where i is the imagery number, and s^2 + h^2 = 1;
s= signal = cosine(theta)
h = Hilbert transformed signal = quadrature = sine(theta)
The angle is therefore given by theta = arctan(h/s);
The analytic signal leading edge and the fit of the last bar of the cycle can be viewed by setting
ShowAnalyticSignal = TRUE;
The leading edges are in grayscale fit to the last bar is in color. Light (yellow) is the s term, and Dark (orange) is the quadrature (hilbert transform). Note that for every bar, s^2 + h^2 = 1 , by construction.
I am using a width = 7 Hilbert transform, just like Ehlers. (But you can adjust it if you want.) This transform has a 7 bar lag. I have put the lag into the plot statements, so the cycle info should be quite good at displaying minima and maxima (extrema).
Part 3:
The Phase shift is the amount of phase change from bar to bar.
It is a discrete unitary transformation that takes s + i h to s + i h
explicitly, T = (s+ih)*(s -ih ) , since s *s + h *h = 1.
writing it out, we find that T = T1 + iT2
where T1 = s*s + h*h and T2 = s*h -h*s
and the phase shift is given by PhaseShift = arctan(T2/T1);
Alas, I have no reference for this, all I doing is finding the rotation what takes the analytic signal at bar to the analytic signal at bar . T is the transfer matrix.
Of interest is the PhaseShift from the closest two bars to the present, given by the bar and bar since I am using a width=7 Hilbert transform, bar is the earliest bar with an analytic signal.
I store the phase shift from bar to bar as a time series called PhaseShift. It basically gives you the (7-bar delayed) leading edge the amount of phase angle change in the series.
You can see it by setting
ShowPhaseShift=TRUE
The green points are positive phase shifts and red points are negative phase shifts.
On most charts, I have looked at, the indicator is mostly green, but occasionally, the stock "retrogrades" and red appears. This happens when the cycle is "broken" and the cycle length starts to expand as a trend occurs.
Part 4:
The Period:
The Period is the number of bars required to generate a sum of PhaseShifts equal to 360 degrees.
The Half-period is the number of bars required to generate a sum of phase shifts equal to 180 degrees. It is usually not equal to 1/2 of the period.
You can see the Period and Half-period by setting
ShowPeriod=TRUE
The code is very simple here:
Value1=0;
Value2=0;
while Value1 < bar_index and math.abs(Value2) < 360 begin
Value2 = Value2 + PhaseShift ;
Value1 = Value1 + 1;
end;
Period = Value1;
The period is sensitive to the input length and degree values but not overly so. Any insight on this would be appreciated.
Part 5:
The Relative Strength indicator:
The Relative Strength is just the current value of the series minus the minimum over the last cycle divided by the maximum - minimum over the last cycle, normalized between +1 and -1.
RelativeStrength = -1 + 2*(Series-Min)/(Max-Min);
It therefore tells you where the current bar is relative to the cycle. If you want to smooth the indicator, then extend the period and/or reduce the polynomial degree.
In code:
NewLength = floor(Period + HilbertWidth+1);
Max = highest(Series,NewLength);
Min = lowest(Series,NewLength);
if Max>Min then
Note that the variable NewLength includes the lag that comes from the Hilbert transform, (HilbertWidth=7 by default).
Conclusion:
This is an example of what can be done by combining Legendre polynomials and analytic signals to determine a smooth period without adding time lag.
________________________________
Changes in this one : instead of using true/false options for every single way to display, use Type parameter as following :
1. The Least Squares fit of a polynomial to a DC subtracted time series - a best fit to a cycle.
2. The normalized analytic signal of the cycle (signal and quadrature).
3. The Phase shift of the analytic signal per bar.
4. The Period and HalfPeriod lengths, in bars of the current cycle.
5. A relative strength indicator of the time series over the cycle length. That is, adaptive relative strength over the cycle length.
MACDV DASHBOARDFrom Riliza MACD-V Volatility Normalisation and another knowledge I am just her follower, Try to make dashboard to study the market for my self.
Rev00
- MACDV with momentum
-Still need to optimize and revise many thing.
-Any wrong could you please help feed back , Not much experience.
SR StrengthThis indicator measures the strength of support and resistance. Purple bars show SR is increasing. Blue bars show SR strength is decreasing. White bars show the peak of SR strength. The threshold of the white bars can be adjusted in the settings. These extremes happen before a boom. This indicator is also very useful for picking up reversals. Sensitivity can be adjusted to 20 or 50 to find smaller booms and pushed all the way to 1000 or more to find stronger booms.
NLX Trading Bot Framework (+Trend Score & QQE)- Demo of my NLX Modular Trading Framework -
It includes all the common indicators and creates a positive or negative score, which can be used with my Modular Trading Framework and linked to an entry/exit indicator to filter out buy/sell signals if the trend is not favorable.
Combination of:
SuperTrend
VWAP Bands
Relative Strength Index ( RSI )
Commodity Channel Index ( CCI )
William Percent Range (WPR)
Directional Movement Index (DMI)
Elder Force Index ( EFI )
Momentum
Demarker
Parabolic SAR
- Getting Started -
1. Add this Trend Index to your Chart
2. Add one of my Indicator Modules to your Chart, such as the QQE++ Indicator
3. In the QQE Indicator Settings combine it with the Trend Index (and choose L1 Type)
4. Optional: Add the Noise Filter, and in the Noise Filter Settings you select the QQE Indicator as combination (and choose L2 for Type)
5. Add the Backtest Module to your Chart
6. Select the Noise Filter in the Backtest Settings
- Access -
Only as part of the NLX Framework - see my signature below for more info.
Chervolinos_Rob Hoffman_Inventory Retracement Bar_and_OverlayHere is something like a combo from the well known Rob Hoffman (Overlay) Indicator and the Inventory Retracement Bar without any ballast
This really smart strategy with a low risk and a quick profit. I combine this two Indicators to save space.
The first condition is that the orange line and the lime line must be parallel and there is no other line between them because this condition is moving under 45 angle.
The second condition is that the target candles must be below the orange line in the case of the downtrend as we see.
As we see it here in the case of an uptrend should be candles above the orange line and this is logical as we see here.
Sometimes we noticed the appearance of the signal onto the candle but the conditions were not applicable because there is an orange line between the green line and the orange line and this means that the signal is fake.
This candle is also good for entry and we can place a buy order above it but is it beginner, so you must respect the conditions in order to be able to master it very well.
Enter with Confidence all conditions are present a red arrow above the candle and the candle is above the orange line and there are no lines between the lime and
orange line. Yes this is our target the entry-point will be a little above the wicked the candle, that is you will not buy now but it's a price exceeds the weight limit
even slightly, we will buy directly it is hoffman's method. Expected if the price in which resistance occurred which is the resistance represented
by the candlewick will be broken the price for rise up and strongly and if it does not happen you will not lose anything anyway to stop loss and take profit. Try the ratio by 1,5.
This part of this strategy is one of the best trading strategies with a low risk rate and can be used as an initial guide to know the market movement and to enter successful trades.
Let's start correctly. This strategy can be used on any time frame from one minute to one day or even more, but I recommend using it on a 10-minute frame one hour or 30 minutes frame. Here I use the 30-Minute frame.
This strategy is based on two things: Tramp Direction and the inventory retracement bar. Don't worry and don't think about it because all this will be automatic but let's understand some simple terms.
There many arrows in green and red. Please read the discription above.
Please read the following tipps:
To avoid the trend Reversal, try to add one one of the Divergence indicators to your chart.
To avoid entering in a pullback movement as much as possible.
--> Combine it with other indicators <--
Best Regards Chervolino
if there were any typographical errors, please forgive me
Note: Buy/Sell signals using non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, and Range) are not allowed, as they produce unrealistic results
Adjusted TOTAL3 (TOTAL3 minus the stable coins)Total3 does not show the whole picture, because the supply of the stable coins is included and that provides an over optimistic outlook on the the market cap of the alt coins.
